A-Team-Security-Infra-Agent-Engineer/backend/app.py

"""
AI Agent - Infrastructure & Security Engineer - Backend API v1.1
FastAPI with JWT auth, TOTP MFA, RBAC, OCI GenAI (exact SDK pattern),
OCI Account Explorer, MCP Server registry with VectorDB tool integration,
Autonomous DB vector storage, CIS reports, chat agent, audit log.
"""
import os, json, uuid, hashlib, hmac, time, base64, struct, secrets, subprocess
import shutil, asyncio, sqlite3, logging, re, concurrent.futures, threading
from datetime import datetime, timedelta
from pathlib import Path
from typing import Optional, List, Dict, Any
from contextlib import contextmanager
from functools import partial

from fastapi import (
    FastAPI, HTTPException, Depends, Request, UploadFile, File, Form,
    Query, Body, BackgroundTasks
)
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse, FileResponse, StreamingResponse, HTMLResponse
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel
import jwt as pyjwt

# ── Config ────────────────────────────────────────────────────────────────────
APP_SECRET = os.environ.get("APP_SECRET", secrets.token_hex(32))
JWT_ALG = "HS256"
JWT_EXP_H = int(os.environ.get("JWT_EXPIRY_HOURS", "12"))
DATA = Path(os.environ.get("DATA_DIR", "/data"))
DB_PATH = DATA / "agent.db"
OCI_DIR = DATA / "oci_configs"
REPORTS = DATA / "reports"
MCP_DIR = DATA / "mcp_servers"
WALLET_DIR = DATA / "wallets"
VERSION = "1.1"
_START_TIME = time.time()
_MAX_UPLOAD_BYTES = 50 * 1024 * 1024  # 50MB global limit for file uploads

for d in [DATA, OCI_DIR, REPORTS, MCP_DIR, WALLET_DIR]:
    d.mkdir(parents=True, exist_ok=True)

_running_reports: dict[str, asyncio.subprocess.Process] = {}  # rid → subprocess
_running_terraform: dict[str, asyncio.subprocess.Process] = {}  # wid → subprocess
_EMBED_STATUS_DIR = DATA / ".embed_status"
_EMBED_STATUS_DIR.mkdir(parents=True, exist_ok=True)

def _set_embed_status(task_id: str, data: dict):
    """Write embedding status to shared file (visible across all workers)."""
    (_EMBED_STATUS_DIR / f"{task_id}.json").write_text(json.dumps(data), encoding="utf-8")

def _get_embed_status(task_id: str) -> dict | None:
    """Read embedding status from shared file."""
    p = _EMBED_STATUS_DIR / f"{task_id}.json"
    if p.exists():
        try:
            return json.loads(p.read_text(encoding="utf-8"))
        except Exception:
            return None
    return None

def _update_embed_status(task_id: str, updates: dict):
    """Update embedding status (read-modify-write)."""
    current = _get_embed_status(task_id) or {}
    current.update(updates)
    _set_embed_status(task_id, current)
TERRAFORM_DIR = DATA / "terraform"
TERRAFORM_DIR.mkdir(parents=True, exist_ok=True)
_chat_executor = concurrent.futures.ThreadPoolExecutor(max_workers=10, thread_name_prefix="chat")

# ── Chat Memory Compaction Settings ──
COMPACT_TOKEN_THRESHOLD = 6000   # estimated tokens before triggering compaction
COMPACT_KEEP_RECENT = 20         # recent messages to keep uncompacted (10 interactions = 20 msgs)
COMPACT_SUMMARY_MAX_TOKENS = 1500
COMPACT_MIN_MESSAGES = 8

logging.basicConfig(level=logging.INFO)
log = logging.getLogger("agent")


async def _validate_upload(file: "UploadFile", allowed_exts: set[str] | None = None, max_bytes: int = _MAX_UPLOAD_BYTES):
    """Validate uploaded file size and extension. Seeks back to 0 after size check."""
    data = await file.read()
    if len(data) > max_bytes:
        raise HTTPException(400, f"Arquivo excede o limite de {max_bytes // (1024*1024)}MB")
    if allowed_exts and file.filename:
        ext = Path(file.filename).suffix.lower()
        if ext not in allowed_exts:
            raise HTTPException(400, f"Extensão '{ext}' não permitida. Aceitas: {', '.join(sorted(allowed_exts))}")
    return data


app = FastAPI(title="AI Agent - Infrastructure & Security Engineer", version=VERSION)
_CORS_ORIGINS = os.environ.get("CORS_ORIGINS", "").split(",") if os.environ.get("CORS_ORIGINS") else []
app.add_middleware(CORSMiddleware,
                   allow_origins=_CORS_ORIGINS or ["http://localhost:8080", "http://127.0.0.1:8080"],
                   allow_credentials=True,
                   allow_methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"],
                   allow_headers=["Content-Type", "Authorization"])
security = HTTPBearer()

# ── OCI GenAI Models Catalog ──────────────────────────────────────────────────
# OCIDs are region-specific; "ocids" maps genai_region → OCID.
# _call_genai resolves the OCID for the configured region at runtime.
GENAI_MODELS = {
    # ── Meta ──
    "meta.llama-4-maverick-17b-128e-instruct-fp8": {"provider":"meta","name":"Meta Llama 4 Maverick","api_format":"GENERIC","max_tokens":8192,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceyah6tjdejjashngznsylutuhhvufukzb2g2ls54g2flsfq"}},
    "meta.llama-4-scout-17b-16e-instruct": {"provider":"meta","name":"Meta Llama 4 Scout","api_format":"GENERIC","max_tokens":8192,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceyaw23hfc7mtvv5wef3gwvvaguyzqmhb5lx4r5s3y2xzc4a"}},
    # ── Google ──
    "google.gemini-2.5-pro": {"provider":"google","name":"Google Gemini 2.5 Pro","api_format":"GENERIC","max_tokens":65536,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceyargceyuaysrjzo2metq2rinavayxqmpu7tkm6mmfojcvq"}},
    "google.gemini-2.5-flash": {"provider":"google","name":"Google Gemini 2.5 Flash","api_format":"GENERIC","max_tokens":8192,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceyaeo4ehrn25guuats5s45hnvswlhxo6riop275l2bkr2vq"}},
    # ── OpenAI ──
    "openai.gpt-5.2": {"provider":"openai","name":"OpenAI GPT-5.2","api_format":"GENERIC","max_tokens":32768,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceya4fw3p5fddnexbfcurnz7spgkqb4mq4a6y5ubyv7777sa"}},
    "openai.gpt-5.1": {"provider":"openai","name":"OpenAI GPT-5.1","api_format":"GENERIC","max_tokens":32768,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceya3darth2ozqcfssb2bats5jitpgigllccajasdyqljnkq"}},
    "openai.gpt-5-mini": {"provider":"openai","name":"OpenAI GPT-5 Mini","api_format":"GENERIC","max_tokens":16384,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceya3eain4n6v3edm4ryjvze5hnjouujd4vralxntfalwjaq"}},
    "openai.gpt-4.1": {"provider":"openai","name":"OpenAI GPT-4.1 (Padrão)","api_format":"GENERIC","max_tokens":32768,"penalties":True,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceyaa6g75r2qqmtzjaooqtlxv4lxkpcqp2jdd6plpq7yq7ea"}},
    "openai.gpt-4.1-mini": {"provider":"openai","name":"OpenAI GPT-4.1 Mini","api_format":"GENERIC","max_tokens":16384,"penalties":True,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceya6pk3sxishpiexm2rb5sf4ytb5tsbz4to2g3g23smidaa"}},
    "openai.gpt-4o": {"provider":"openai","name":"OpenAI GPT-4o","api_format":"GENERIC","max_tokens":16384,"penalties":True,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceyah7slrtboxdbfdy5cdspsfts62yumoclpdgwydopse7za"}},
    "openai.o4-mini": {"provider":"openai","name":"OpenAI o4-mini","api_format":"GENERIC","reasoning":True,"max_tokens":100000,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceya5ivfqp4fxlajoeg2cahlqtuuswagiv6a7dggpigy23bq"}},
    "openai.o3": {"provider":"openai","name":"OpenAI o3","api_format":"GENERIC","reasoning":True,"max_tokens":100000,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceyalgnrukpjk6wm5zsf4jzkoneahgswhrk7kukkoagwnzma"}},
    # ── xAI ──
    "xai.grok-4": {"provider":"xai","name":"xAI Grok 4","api_format":"GENERIC","max_tokens":131072,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceyaldmhg25is4nouena4oa2pj4nvwgfeempo4syiaazukia"}},
    "xai.grok-3": {"provider":"xai","name":"xAI Grok 3","api_format":"GENERIC","max_tokens":131072,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceyag3w2xk76vlahjujj2gdfeuzhflt25gbo3bxidlsqfjla"}},
    "xai.grok-3-mini-fast": {"provider":"xai","name":"xAI Grok 3 Mini Fast","api_format":"GENERIC","max_tokens":131072,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceyauvjoll2repj5pbtkk7pinwj57ex3lkehzpxd6v6rxscq"}},
}

EMBEDDING_MODELS = {
    "cohere.embed-v4.0": {"name":"Cohere Embed v4.0 (Multimodal)","dims":1536,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceyahw4vlsxm7newcqtlgmristnwxlrxox3h7bcnlomjpgwa"}},
    "openai.text-embedding-3-large": {"name":"OpenAI Text Embedding 3 Large","dims":3072,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceya3i6o2p5h2mij6unya5bsyc46aqey5hwy3icncawo3vcq"}},
    "openai.text-embedding-3-small": {"name":"OpenAI Text Embedding 3 Small","dims":1536,
        "ocids":{"us-ashburn-1":"ocid1.generativeaimodel.oc1.iad.amaaaaaask7dceyarjpjyniixp4tf7kyhr5bfajxmky4sjmbki2hp55ns2pq"}},
}

GENAI_REGIONS = [
    "us-chicago-1","us-ashburn-1","us-phoenix-1","uk-london-1",
    "eu-frankfurt-1","ap-tokyo-1","ap-osaka-1","sa-saopaulo-1",
    "ca-toronto-1","ap-melbourne-1","ap-mumbai-1","eu-amsterdam-1",
    "me-jeddah-1","ap-singapore-1","ap-seoul-1","sa-vinhedo-1",
]

OCI_REGIONS = {
    "Americas": [
        "us-ashburn-1","us-phoenix-1","us-chicago-1","us-sanjose-1","us-saltlake-2",
        "ca-toronto-1","ca-montreal-1",
        "sa-saopaulo-1","sa-vinhedo-1","sa-bogota-1","sa-santiago-1","sa-valparaiso-1",
        "mx-queretaro-1","mx-monterrey-1",
    ],
    "Europe": [
        "eu-frankfurt-1","eu-amsterdam-1","eu-zurich-1","eu-madrid-1","eu-marseille-1",
        "eu-milan-1","eu-paris-1","eu-stockholm-1","eu-jovanovac-1","eu-dcc-rome-1",
        "uk-london-1","uk-cardiff-1",
        "il-jerusalem-1",
    ],
    "Asia Pacific": [
        "ap-tokyo-1","ap-osaka-1","ap-seoul-1","ap-chuncheon-1",
        "ap-mumbai-1","ap-hyderabad-1",
        "ap-melbourne-1","ap-sydney-1",
        "ap-singapore-1","ap-singapore-2",
    ],
    "Middle East & Africa": [
        "me-jeddah-1","me-abudhabi-1","me-dubai-1","me-riyadh-1",
        "af-johannesburg-1",
    ],
}

# ── Database ──────────────────────────────────────────────────────────────────
@contextmanager
def db():
    conn = sqlite3.connect(str(DB_PATH), timeout=30, check_same_thread=False)
    conn.row_factory = sqlite3.Row
    conn.execute("PRAGMA journal_mode=WAL")
    conn.execute("PRAGMA busy_timeout=30000")
    conn.execute("PRAGMA foreign_keys=ON")
    try:
        yield conn
        conn.commit()
    finally:
        conn.close()

def init_db():
    with db() as c:
        c.executescript("""
        CREATE TABLE IF NOT EXISTS users (
            id TEXT PRIMARY KEY,
            first_name TEXT NOT NULL,
            last_name TEXT NOT NULL, 
            username TEXT UNIQUE NOT NULL, 
            email TEXT,
            password_hash TEXT NOT NULL, role TEXT NOT NULL DEFAULT 'viewer',
            mfa_secret TEXT, mfa_enabled INTEGER DEFAULT 0,
            is_active INTEGER DEFAULT 1,
            created_at TEXT DEFAULT (datetime('now')),
            last_login TEXT
        );
        CREATE TABLE IF NOT EXISTS sessions (
            id TEXT PRIMARY KEY, user_id TEXT NOT NULL,
            created_at TEXT DEFAULT (datetime('now')),
            expires_at TEXT NOT NULL, is_active INTEGER DEFAULT 1
        );
        CREATE TABLE IF NOT EXISTS oci_configs (
            id TEXT PRIMARY KEY, user_id TEXT NOT NULL,
            tenancy_name TEXT NOT NULL, tenancy_ocid TEXT NOT NULL,
            user_ocid TEXT NOT NULL, fingerprint TEXT NOT NULL,
            region TEXT NOT NULL, key_file_path TEXT NOT NULL,
            compartment_id TEXT,
            created_at TEXT DEFAULT (datetime('now'))
        );
        CREATE TABLE IF NOT EXISTS genai_configs (
            id TEXT PRIMARY KEY, user_id TEXT NOT NULL,
            name TEXT NOT NULL DEFAULT 'default',
            oci_config_id TEXT NOT NULL,
            model_id TEXT NOT NULL,
            model_ocid TEXT,
            compartment_id TEXT NOT NULL,
            genai_region TEXT NOT NULL,
            endpoint TEXT NOT NULL,
            serving_type TEXT DEFAULT 'ON_DEMAND',
            dedicated_endpoint_id TEXT,
            temperature REAL DEFAULT 1,
            max_tokens INTEGER DEFAULT 6000,
            top_p REAL DEFAULT 0.95,
            top_k INTEGER DEFAULT 1,
            frequency_penalty REAL DEFAULT 0,
            presence_penalty REAL DEFAULT 0,
            reasoning_effort TEXT,
            is_default INTEGER DEFAULT 0,
            system_prompt TEXT DEFAULT '',
            created_at TEXT DEFAULT (datetime('now')),
            FOREIGN KEY (oci_config_id) REFERENCES oci_configs(id)
        );
        CREATE TABLE IF NOT EXISTS reports (
            id TEXT PRIMARY KEY, user_id TEXT NOT NULL,
            tenancy_name TEXT NOT NULL, config_id TEXT,
            level INTEGER DEFAULT 2,
            obp_checks INTEGER DEFAULT 0,
            raw_data INTEGER DEFAULT 0,
            redact_output INTEGER DEFAULT 0,
            status TEXT DEFAULT 'pending', progress TEXT DEFAULT '',
            html_path TEXT, json_path TEXT,
            created_at TEXT DEFAULT (datetime('now')),
            completed_at TEXT, error_msg TEXT
        );
        CREATE TABLE IF NOT EXISTS report_files (
            id TEXT PRIMARY KEY,
            report_id TEXT NOT NULL,
            file_name TEXT NOT NULL,
            file_path TEXT NOT NULL,
            file_type TEXT NOT NULL,
            file_category TEXT NOT NULL,
            file_size INTEGER DEFAULT 0
        );
        CREATE TABLE IF NOT EXISTS adb_vector_configs (
            id TEXT PRIMARY KEY, user_id TEXT NOT NULL,
            config_name TEXT NOT NULL,
            dsn TEXT NOT NULL,
            username TEXT NOT NULL,
            password_enc TEXT NOT NULL,
            wallet_dir TEXT,
            wallet_password_enc TEXT,
            table_name TEXT DEFAULT '',
            use_mtls INTEGER DEFAULT 1,
            is_active INTEGER DEFAULT 1,
            created_at TEXT DEFAULT (datetime('now'))
        );
        CREATE TABLE IF NOT EXISTS adb_vector_tables (
            id TEXT PRIMARY KEY,
            adb_config_id TEXT NOT NULL,
            table_name TEXT NOT NULL,
            description TEXT DEFAULT '',
            is_active INTEGER DEFAULT 1,
            created_at TEXT DEFAULT (datetime('now')),
            FOREIGN KEY (adb_config_id) REFERENCES adb_vector_configs(id) ON DELETE CASCADE,
            UNIQUE(adb_config_id, table_name)
        );
        CREATE TABLE IF NOT EXISTS mcp_servers (
            id TEXT PRIMARY KEY, user_id TEXT NOT NULL,
            name TEXT NOT NULL, description TEXT,
            server_type TEXT NOT NULL DEFAULT 'stdio',
            command TEXT, args TEXT, env_vars TEXT,
            url TEXT, module_path TEXT,
            tools TEXT,
            linked_adb_id TEXT,
            is_active INTEGER DEFAULT 1,
            created_at TEXT DEFAULT (datetime('now'))
        );
        CREATE TABLE IF NOT EXISTS chat_messages (
            id TEXT PRIMARY KEY, session_id TEXT NOT NULL,
            user_id TEXT NOT NULL, role TEXT NOT NULL,
            content TEXT NOT NULL,
            model_id TEXT,
            created_at TEXT DEFAULT (datetime('now'))
        );
        CREATE TABLE IF NOT EXISTS chat_summaries (
            id TEXT PRIMARY KEY,
            session_id TEXT NOT NULL,
            user_id TEXT NOT NULL,
            summary TEXT NOT NULL,
            messages_compacted INTEGER NOT NULL,
            up_to_message_id TEXT NOT NULL,
            created_at TEXT DEFAULT (datetime('now'))
        );
        CREATE TABLE IF NOT EXISTS audit_log (
            id TEXT PRIMARY KEY, user_id TEXT, username TEXT,
            action TEXT NOT NULL, resource TEXT, details TEXT,
            ip TEXT, created_at TEXT DEFAULT (datetime('now'))
        );
        CREATE TABLE IF NOT EXISTS config_logs (
            id TEXT PRIMARY KEY,
            config_type TEXT NOT NULL,
            config_id TEXT NOT NULL,
            config_name TEXT,
            severity TEXT NOT NULL,
            action TEXT NOT NULL,
            message TEXT NOT NULL,
            user_id TEXT,
            username TEXT,
            created_at TEXT DEFAULT (datetime('now'))
        );
        CREATE TABLE IF NOT EXISTS app_settings (
            key TEXT PRIMARY KEY,
            value TEXT NOT NULL,
            updated_at TEXT DEFAULT (datetime('now'))
        );
        CREATE TABLE IF NOT EXISTS system_prompts (
            id TEXT PRIMARY KEY,
            name TEXT NOT NULL,
            agent TEXT NOT NULL DEFAULT 'chat',
            content TEXT NOT NULL,
            is_active INTEGER DEFAULT 0,
            created_at TEXT DEFAULT (datetime('now'))
        );
        CREATE TABLE IF NOT EXISTS chat_logs (
            id TEXT PRIMARY KEY,
            session_id TEXT,
            message_id TEXT,
            user_id TEXT,
            severity TEXT NOT NULL,
            source TEXT NOT NULL,
            action TEXT NOT NULL,
            message TEXT NOT NULL,
            created_at TEXT DEFAULT (datetime('now'))
        );
        CREATE TABLE IF NOT EXISTS chat_sessions (
            id TEXT PRIMARY KEY,
            user_id TEXT NOT NULL,
            agent_type TEXT NOT NULL DEFAULT 'chat',
            title TEXT DEFAULT '',
            created_at TEXT DEFAULT (datetime('now')),
            updated_at TEXT DEFAULT (datetime('now'))
        );
        CREATE TABLE IF NOT EXISTS terraform_workspaces (
            id TEXT PRIMARY KEY, user_id TEXT NOT NULL,
            session_id TEXT NOT NULL,
            oci_config_id TEXT NOT NULL,
            compartment_id TEXT,
            name TEXT DEFAULT 'workspace',
            tf_code TEXT,
            status TEXT DEFAULT 'draft',
            plan_output TEXT, apply_output TEXT, destroy_output TEXT,
            error TEXT,
            created_at TEXT DEFAULT (datetime('now')),
            updated_at TEXT DEFAULT (datetime('now'))
        );
        CREATE TABLE IF NOT EXISTS explorer_counts_cache (
            id INTEGER PRIMARY KEY AUTOINCREMENT,
            oci_config_id TEXT NOT NULL,
            compartment_id TEXT NOT NULL,
            resource_type TEXT NOT NULL,
            count INTEGER NOT NULL DEFAULT 0,
            regions TEXT DEFAULT '',
            updated_at TEXT DEFAULT (datetime('now')),
            UNIQUE(oci_config_id, compartment_id, resource_type, regions)
        );
        CREATE TABLE IF NOT EXISTS tf_valid_types (
            name TEXT PRIMARY KEY,
            kind TEXT NOT NULL DEFAULT 'resource',
            category TEXT DEFAULT '',
            required_args TEXT DEFAULT '',
            blocks TEXT DEFAULT ''
        );
        CREATE TABLE IF NOT EXISTS tf_resource_docs (
            slug TEXT PRIMARY KEY,
            subcategory TEXT DEFAULT '',
            example_usage TEXT DEFAULT '',
            argument_ref TEXT DEFAULT '',
            fetched_at TEXT DEFAULT (datetime('now'))
        );
        """)
        c.execute("DELETE FROM config_logs WHERE created_at < datetime('now', '-30 days')")
        c.execute("DELETE FROM chat_logs WHERE created_at < datetime('now', '-30 days')")
        c.execute("DELETE FROM audit_log WHERE created_at < datetime('now', '-30 days')")
        # ── Indexes for performance ──
        for idx in [
            "CREATE INDEX IF NOT EXISTS idx_chat_msg_session ON chat_messages(session_id)",
            "CREATE INDEX IF NOT EXISTS idx_chat_msg_user ON chat_messages(user_id)",
            "CREATE INDEX IF NOT EXISTS idx_chat_msg_status ON chat_messages(status)",
            "CREATE INDEX IF NOT EXISTS idx_chat_sess_user ON chat_sessions(user_id)",
            "CREATE INDEX IF NOT EXISTS idx_reports_user ON reports(user_id)",
            "CREATE INDEX IF NOT EXISTS idx_reports_status ON reports(status)",
            "CREATE INDEX IF NOT EXISTS idx_report_files_report ON report_files(report_id)",
            "CREATE INDEX IF NOT EXISTS idx_oci_cfg_user ON oci_configs(user_id)",
            "CREATE INDEX IF NOT EXISTS idx_genai_cfg_user ON genai_configs(user_id)",
            "CREATE INDEX IF NOT EXISTS idx_mcp_srv_user ON mcp_servers(user_id)",
            "CREATE INDEX IF NOT EXISTS idx_adb_cfg_user ON adb_vector_configs(user_id)",
            "CREATE INDEX IF NOT EXISTS idx_adb_tables_cfg ON adb_vector_tables(adb_config_id)",
            "CREATE INDEX IF NOT EXISTS idx_sessions_user ON sessions(user_id)",
            "CREATE INDEX IF NOT EXISTS idx_tf_ws_user ON terraform_workspaces(user_id)",
            "CREATE INDEX IF NOT EXISTS idx_tf_ws_session ON terraform_workspaces(session_id)",
            "CREATE INDEX IF NOT EXISTS idx_audit_user ON audit_log(user_id)",
        ]:
            c.execute(idx)
        # ── Migrations ──
        for col in ["system_prompt TEXT DEFAULT ''", "reasoning_effort TEXT"]:
            try:
                c.execute(f"ALTER TABLE genai_configs ADD COLUMN {col}")
            except sqlite3.OperationalError:
                pass
        for col in ["genai_config_id TEXT", "embedding_model_id TEXT DEFAULT 'cohere.embed-v4.0'"]:
            try:
                c.execute(f"ALTER TABLE adb_vector_configs ADD COLUMN {col}")
            except sqlite3.OperationalError:
                pass
        for col in ["progress TEXT DEFAULT ''", "level INTEGER DEFAULT 2", "obp_checks INTEGER DEFAULT 0",
                    "raw_data INTEGER DEFAULT 0", "redact_output INTEGER DEFAULT 0", "worker_pid INTEGER"]:
            try:
                c.execute(f"ALTER TABLE reports ADD COLUMN {col}")
            except sqlite3.OperationalError:
                pass
        for col in ["status TEXT DEFAULT 'done'"]:
            try:
                c.execute(f"ALTER TABLE chat_messages ADD COLUMN {col}")
            except sqlite3.OperationalError:
                pass
        for col in ["compartment_id TEXT"]:
            try:
                c.execute(f"ALTER TABLE terraform_workspaces ADD COLUMN {col}")
            except sqlite3.OperationalError:
                pass
        for col in ["ssh_public_key TEXT", "auth_type TEXT DEFAULT 'api_key'"]:
            try:
                c.execute(f"ALTER TABLE oci_configs ADD COLUMN {col}")
            except sqlite3.OperationalError:
                pass
        # Migrate legacy table_name from adb_vector_configs into adb_vector_tables
        try:
            for cfg_row in c.execute("SELECT id, table_name FROM adb_vector_configs WHERE table_name IS NOT NULL AND table_name != ''").fetchall():
                if not c.execute("SELECT 1 FROM adb_vector_tables WHERE adb_config_id=? AND table_name=?", (cfg_row["id"], cfg_row["table_name"])).fetchone():
                    c.execute("INSERT INTO adb_vector_tables (id, adb_config_id, table_name, description) VALUES (?,?,?,?)",
                              (str(uuid.uuid4()), cfg_row["id"], cfg_row["table_name"], "Migrado automaticamente"))
        except Exception as e:
            log.warning(f"DB migration: adb_vector_tables backfill failed: {e}")
        # Backfill chat_sessions from existing chat_messages
        try:
            c.execute("""INSERT OR IGNORE INTO chat_sessions (id, user_id, agent_type, title, created_at, updated_at)
                SELECT cm.session_id, cm.user_id,
                    CASE WHEN tw.id IS NOT NULL THEN 'terraform' ELSE 'chat' END,
                    SUBSTR((SELECT content FROM chat_messages cm2 WHERE cm2.session_id=cm.session_id AND cm2.role='user' ORDER BY cm2.created_at ASC LIMIT 1), 1, 80),
                    MIN(cm.created_at), MAX(cm.created_at)
                FROM chat_messages cm
                LEFT JOIN terraform_workspaces tw ON tw.session_id = cm.session_id
                WHERE cm.session_id NOT IN (SELECT id FROM chat_sessions)
                GROUP BY cm.session_id""")
        except Exception as e:
            log.warning(f"DB migration: chat_sessions backfill failed: {e}")
        # Seed default system prompt if none exists for chat agent
        if not c.execute("SELECT 1 FROM system_prompts WHERE agent='chat'").fetchone():
            c.execute("INSERT INTO system_prompts (id,name,agent,content,is_active) VALUES (?,?,?,?,?)",
                      (str(uuid.uuid4()), "OCI CIS RAG Agent", "chat", RAG_DEFAULT_SYSTEM_PROMPT, 1))
        tf_row = c.execute("SELECT id FROM system_prompts WHERE agent='terraform' AND is_active=1").fetchone()
        if tf_row:
            # Always sync DB prompt with code default
            c.execute("UPDATE system_prompts SET content=? WHERE id=?", (TF_DEFAULT_SYSTEM_PROMPT, tf_row["id"]))
        else:
            c.execute("INSERT INTO system_prompts (id,name,agent,content,is_active) VALUES (?,?,?,?,?)",
                      (str(uuid.uuid4()), "OCI Terraform Agent", "terraform", TF_DEFAULT_SYSTEM_PROMPT, 1))
        # Recover stuck terraform workspaces (interrupted by container restart)
        stuck = c.execute("SELECT id, status FROM terraform_workspaces WHERE status IN ('planning','applying','destroying')").fetchall()
        for ws in stuck:
            prev = 'applied' if ws["status"] == 'destroying' else 'failed'
            c.execute("UPDATE terraform_workspaces SET status=?, error='Interrompido por restart do container', updated_at=datetime('now') WHERE id=?", (prev, ws["id"]))
            # Remove stale lock files
            lock_file = TERRAFORM_DIR / ws["id"] / ".terraform.tfstate.lock.info"
            if lock_file.exists():
                lock_file.unlink()
            log.info(f"Recovered stuck workspace {ws['id']}: {ws['status']} -> {prev}")
        adm = c.execute("SELECT id FROM users WHERE username='admin'").fetchone()
        if not adm:
            c.execute(
                "INSERT INTO users (id,first_name,last_name,username,email,password_hash,role) VALUES (?,?,?,?,?,?,?)",
                (str(uuid.uuid4()), "Admin", "Sistema", "admin", "admin@local", _hash_pw("admin123"), "admin")
            )
            log.info("Default admin created: admin / admin123")

# ── Crypto helpers ────────────────────────────────────────────────────────────
def _hash_pw(pw): salt=secrets.token_hex(16); h=hashlib.pbkdf2_hmac("sha256",pw.encode(),salt.encode(),100_000); return f"{salt}:{h.hex()}"
def _verify_pw(pw,stored): salt,h=stored.split(":"); return hmac.compare_digest(hashlib.pbkdf2_hmac("sha256",pw.encode(),salt.encode(),100_000).hex(),h)
def _totp_secret(): return base64.b32encode(secrets.token_bytes(20)).decode()
def _totp_verify(secret,code,window=1):
    key=base64.b32decode(secret); now=int(time.time())//30
    for off in range(-window,window+1):
        msg=struct.pack(">Q",now+off); h=hmac.new(key,msg,hashlib.sha1).digest(); o=h[-1]&0x0F
        c=str((struct.unpack(">I",h[o:o+4])[0]&0x7FFFFFFF)%1_000_000).zfill(6)
        if hmac.compare_digest(c,code): return True
    return False
def _totp_uri(secret,user): return f"otpauth://totp/AI-Agent:{user}?secret={secret}&issuer=AI-Agent"
def _make_token(uid,role,sid):
    return pyjwt.encode({"sub":uid,"role":role,"sid":sid,"exp":datetime.utcnow()+timedelta(hours=JWT_EXP_H),"iat":datetime.utcnow()},APP_SECRET,algorithm=JWT_ALG)
def _enc(v): return base64.b64encode(v.encode()).decode()
def _dec(v): return base64.b64decode(v.encode()).decode()
def _mask(v, show=6):
    """Mask a sensitive value, showing only the last `show` characters."""
    if not v or len(v) <= show:
        return "•" * 8
    return "•" * min(len(v) - show, 20) + v[-show:]
def _safe_dec(v):
    """Decrypt a value, returning as-is if not encrypted (migration compat)."""
    if not v:
        return v
    try:
        return _dec(v)
    except Exception:
        return v

# ── OCI SDK Client Helper ─────────────────────────────────────────────────────
def _get_oci_config(oci_config_id: str) -> dict:
    import oci
    config_path = str(OCI_DIR / oci_config_id / "config")
    config = oci.config.from_file(config_path, "DEFAULT")
    return config


def _get_oci_signer(oci_config_id: str):
    """Return (config, signer) tuple. For session_token auth, returns SecurityTokenSigner; for api_key returns None (use default)."""
    import oci
    config = _get_oci_config(oci_config_id)
    if config.get("security_token_file"):
        from oci.auth.signers import SecurityTokenSigner
        token_path = config["security_token_file"]
        with open(token_path) as f:
            token = f.read().strip()
        signer = SecurityTokenSigner(token, config["key_file"])
        return config, signer
    return config, None


def _oci_client(client_class, oci_config_id: str, **kwargs):
    """Create an OCI client with correct auth (api_key or session_token)."""
    config, signer = _get_oci_signer(oci_config_id)
    if signer:
        return client_class(config=config, signer=signer, **kwargs)
    return client_class(config, **kwargs)

# ── Auth deps ─────────────────────────────────────────────────────────────────
async def current_user(cred: HTTPAuthorizationCredentials = Depends(security)):
    try: p = pyjwt.decode(cred.credentials, APP_SECRET, algorithms=[JWT_ALG])
    except pyjwt.ExpiredSignatureError: raise HTTPException(401, "Token expirado")
    except pyjwt.InvalidTokenError: raise HTTPException(401, "Token inválido")
    with db() as c:
        u = c.execute("SELECT * FROM users WHERE id=? AND is_active=1", (p["sub"],)).fetchone()
        s = c.execute("SELECT * FROM sessions WHERE id=? AND is_active=1", (p["sid"],)).fetchone()
    if not u or not s: raise HTTPException(401, "Sessão inválida")
    return dict(u)

def _user_from_token(token: str):
    """Resolve user from a raw JWT token string (for query-param auth on downloads)."""
    try: p = pyjwt.decode(token, APP_SECRET, algorithms=[JWT_ALG])
    except Exception: raise HTTPException(401, "Token inválido")
    with db() as c:
        u = c.execute("SELECT * FROM users WHERE id=? AND is_active=1", (p["sub"],)).fetchone()
        s = c.execute("SELECT * FROM sessions WHERE id=? AND is_active=1", (p["sid"],)).fetchone()
    if not u or not s: raise HTTPException(401, "Sessão inválida")
    return dict(u)

def require(*roles):
    async def dep(u=Depends(current_user)):
        if u["role"] not in roles: raise HTTPException(403, f"Requer role: {', '.join(roles)}")
        return u
    return dep

def _audit(uid, uname, action, resource=None, details=None, ip=None):
    with db() as c:
        c.execute("INSERT INTO audit_log (id,user_id,username,action,resource,details,ip) VALUES (?,?,?,?,?,?,?)",
                  (str(uuid.uuid4()), uid, uname, action, resource, details, ip))

def _config_log(config_type, config_id, config_name, severity, action, message, uid=None, uname=None):
    with db() as c:
        c.execute("INSERT INTO config_logs (id,config_type,config_id,config_name,severity,action,message,user_id,username) VALUES (?,?,?,?,?,?,?,?,?)",
                  (str(uuid.uuid4()), config_type, config_id, config_name or "", severity, action, str(message)[:2000], uid, uname))

def _chat_log(sid, mid, uid, severity, source, action, message):
    with db() as c:
        c.execute("INSERT INTO chat_logs (id,session_id,message_id,user_id,severity,source,action,message) VALUES (?,?,?,?,?,?,?,?)",
                  (str(uuid.uuid4()), sid, mid, uid, severity, source, action, str(message)[:2000]))

# ── Models ────────────────────────────────────────────────────────────────────
class LoginReq(BaseModel):
    username: str; password: str; totp_code: Optional[str] = None
class RegisterReq(BaseModel):
    first_name: str; last_name: str; username: str; email: str; password: str; role: str = "viewer"
class TOTPVerify(BaseModel):
    totp_code: str
class ChangePwReq(BaseModel):
    current_password: str; new_password: str
class UserUpdateReq(BaseModel):
    email: Optional[str] = None; role: Optional[str] = None; is_active: Optional[bool] = None
class ChatMsg(BaseModel):
    message: str; session_id: Optional[str] = None
    # Option A: saved preset
    genai_config_id: Optional[str] = None
    # Option B: direct model selection (inline)
    model_id: Optional[str] = None; oci_config_id: Optional[str] = None
    genai_region: Optional[str] = None; compartment_id: Optional[str] = None
    temperature: Optional[float] = None; max_tokens: Optional[int] = None
    top_p: Optional[float] = None; top_k: Optional[int] = None
    frequency_penalty: Optional[float] = None; presence_penalty: Optional[float] = None
    reasoning_effort: Optional[str] = None
    use_tools: Optional[bool] = True
class RunReportReq(BaseModel):
    config_id: str; regions: Optional[List[str]] = None
    level: int = 2; obp: bool = False; raw: bool = False; redact_output: bool = False
class GenAIConfigReq(BaseModel):
    name: str = "default"
    oci_config_id: str; model_id: str; model_ocid: Optional[str] = None
    compartment_id: str; genai_region: str
    endpoint: Optional[str] = None
    serving_type: str = "ON_DEMAND"; dedicated_endpoint_id: Optional[str] = None
    temperature: float = 1; max_tokens: int = 6000; top_p: float = 0.95
    top_k: int = 1; frequency_penalty: float = 0; presence_penalty: float = 0
    reasoning_effort: Optional[str] = None
    is_default: bool = False
class IngestDocReq(BaseModel):
    adb_config_id: str; documents: List[Dict[str, Any]]; table_name: Optional[str] = None
class MCPServerReq(BaseModel):
    name: str; description: Optional[str] = None; server_type: str = "stdio"
    command: Optional[str] = None; args: Optional[List[str]] = None
    env_vars: Optional[Dict[str,str]] = None; url: Optional[str] = None
    module_path: Optional[str] = None; tools: Optional[List[dict]] = None
    linked_adb_id: Optional[str] = None

# ── Rate limiting (login brute-force protection) ─────────────────────────────
_login_attempts: dict = {}  # {ip: [timestamps]}
_login_attempts_lock = threading.Lock()
_LOGIN_WINDOW = 300  # 5 minutes
_LOGIN_MAX = 10  # max attempts per window

def _check_rate_limit(ip: str):
    """Raise 429 if too many login attempts from this IP."""
    import time
    now = time.time()
    with _login_attempts_lock:
        attempts = _login_attempts.get(ip, [])
        attempts = [t for t in attempts if now - t < _LOGIN_WINDOW]
        if len(attempts) >= _LOGIN_MAX:
            raise HTTPException(429, "Muitas tentativas de login. Aguarde 5 minutos.")
        attempts.append(now)
        _login_attempts[ip] = attempts

# ── Auth endpoints ────────────────────────────────────────────────────────────
@app.post("/api/auth/login")
async def login(req: LoginReq, request: Request):
    _check_rate_limit(request.client.host if request.client else "unknown")
    with db() as c:
        u = c.execute("SELECT * FROM users WHERE username=? AND is_active=1", (req.username,)).fetchone()
    if not u or not _verify_pw(req.password, u["password_hash"]): raise HTTPException(401, "Credenciais inválidas")
    u = dict(u)
    if u["mfa_enabled"]:
        if not req.totp_code: return {"mfa_required": True, "message": "Código MFA necessário"}
        if not _totp_verify(u["mfa_secret"], req.totp_code): raise HTTPException(401, "Código MFA inválido")
    sid = str(uuid.uuid4()); exp = (datetime.utcnow()+timedelta(hours=JWT_EXP_H)).isoformat()
    with db() as c:
        c.execute("INSERT INTO sessions (id,user_id,expires_at) VALUES (?,?,?)", (sid, u["id"], exp))
        c.execute("UPDATE users SET last_login=datetime('now') WHERE id=?", (u["id"],))
    _audit(u["id"], u["username"], "login", ip=request.client.host if request.client else None)
    return {"token":_make_token(u["id"],u["role"],sid),
            "user":{"id":u["id"],"first_name":u["first_name"],"last_name":u["last_name"],"username":u["username"],"email":u["email"],"role":u["role"],"mfa_enabled":bool(u["mfa_enabled"])}}

@app.post("/api/auth/logout")
async def logout_ep(u=Depends(current_user)):
    with db() as c: c.execute("UPDATE sessions SET is_active=0 WHERE user_id=?", (u["id"],))
    return {"ok": True}

@app.post("/api/auth/register")
async def register(req: RegisterReq, adm=Depends(require("admin"))):
    if req.role not in ("admin","user","viewer"): raise HTTPException(400, "Role inválida")
    uid = str(uuid.uuid4())
    with db() as c:
        if c.execute("SELECT 1 FROM users WHERE username=?", (req.username,)).fetchone(): raise HTTPException(400, "Usuário já existe")
        c.execute("INSERT INTO users (id,first_name,last_name,username,email,password_hash,role) VALUES (?,?,?,?,?,?,?)",
                  (uid, req.first_name, req.last_name, req.username, req.email, _hash_pw(req.password), req.role))
    _audit(adm["id"], adm["username"], "create_user", uid, f"user={req.username} role={req.role}")
    return {"id": uid, "username": req.username, "role": req.role}

@app.post("/api/auth/change-password")
async def change_pw(req: ChangePwReq, u=Depends(current_user)):
    if not _verify_pw(req.current_password, u["password_hash"]): raise HTTPException(400, "Senha atual incorreta")
    with db() as c: c.execute("UPDATE users SET password_hash=? WHERE id=?", (_hash_pw(req.new_password), u["id"]))
    return {"ok": True}

# ── MFA ───────────────────────────────────────────────────────────────────────
@app.post("/api/mfa/setup")
async def mfa_setup(u=Depends(current_user)):
    sec = _totp_secret()
    with db() as c: c.execute("UPDATE users SET mfa_secret=? WHERE id=?", (sec, u["id"]))
    return {"secret": sec, "uri": _totp_uri(sec, u["username"])}

@app.post("/api/mfa/verify")
async def mfa_verify(req: TOTPVerify, u=Depends(current_user)):
    if not u.get("mfa_secret"): raise HTTPException(400, "Chame /api/mfa/setup primeiro")
    if not _totp_verify(u["mfa_secret"], req.totp_code): raise HTTPException(400, "Código inválido")
    with db() as c: c.execute("UPDATE users SET mfa_enabled=1 WHERE id=?", (u["id"],))
    return {"ok": True, "message": "MFA ativado"}

@app.post("/api/mfa/disable/{user_id}")
async def mfa_disable(user_id: str, adm=Depends(require("admin"))):
    with db() as c: c.execute("UPDATE users SET mfa_enabled=0,mfa_secret=NULL WHERE id=?", (user_id,))
    _audit(adm["id"], adm["username"], "disable_mfa", user_id)
    return {"ok": True}

# ── Users ─────────────────────────────────────────────────────────────────────
@app.get("/api/users")
async def list_users(u=Depends(require("admin"))):
    with db() as c: rows = c.execute("SELECT id,first_name,last_name,username,email,role,mfa_enabled,is_active,created_at,last_login FROM users").fetchall()
    return [dict(r) for r in rows]

@app.get("/api/users/me")
async def me(u=Depends(current_user)):
    return {k: u[k] for k in ("id","first_name","last_name","username","email","role","mfa_enabled")}

@app.put("/api/users/{uid}")
async def update_user(uid: str, req: UserUpdateReq, adm=Depends(require("admin"))):
    sets, vals = [], []
    if req.email is not None: sets.append("email=?"); vals.append(req.email)
    if req.role is not None:
        if req.role not in ("admin","user","viewer"): raise HTTPException(400, "Role inválida")
        sets.append("role=?"); vals.append(req.role)
    if req.is_active is not None: sets.append("is_active=?"); vals.append(int(req.is_active))
    if sets:
        vals.append(uid)
        with db() as c: c.execute(f"UPDATE users SET {','.join(sets)} WHERE id=?", vals)
    _audit(adm["id"], adm["username"], "update_user", uid)
    return {"ok": True}

@app.delete("/api/users/{uid}")
async def del_user(uid: str, adm=Depends(require("admin"))):
    if uid == adm["id"]: raise HTTPException(400, "Não pode desativar a si mesmo")
    with db() as c: c.execute("UPDATE users SET is_active=0 WHERE id=?", (uid,))
    _audit(adm["id"], adm["username"], "deactivate_user", uid)
    return {"ok": True}

# ── OCI Config ────────────────────────────────────────────────────────────────
@app.post("/api/oci/config")
async def save_oci(
    tenancy_name: str = Form(...), tenancy_ocid: str = Form(...),
    user_ocid: str = Form(""), fingerprint: str = Form(""),
    region: str = Form(...), compartment_id: str = Form(""),
    key_passphrase: str = Form(""),
    ssh_public_key: str = Form(""),
    auth_type: str = Form("api_key"),
    security_token: str = Form(""),
    private_key: Optional[UploadFile] = File(None), public_key: Optional[UploadFile] = File(None),
    u = Depends(require("admin","user"))
):
    if auth_type not in ("api_key", "session_token"):
        raise HTTPException(400, "auth_type deve ser 'api_key' ou 'session_token'")
    _PEM_EXTS = {".pem", ".key"}
    if private_key and private_key.filename:
        await _validate_upload(private_key, _PEM_EXTS)
        private_key.file.seek(0)
    if public_key and public_key.filename:
        await _validate_upload(public_key, _PEM_EXTS)
        public_key.file.seek(0)
    cid = str(uuid.uuid4()); cdir = OCI_DIR / cid; cdir.mkdir(parents=True)
    kp = cdir / "oci_api_key.pem"

    if auth_type == "session_token":
        # Session token auth: requires tenancy_ocid, region, token, and session key
        if not security_token.strip():
            shutil.rmtree(cdir, ignore_errors=True)
            raise HTTPException(400, "Session Token é obrigatório para autenticação por token.")
        if not private_key or not private_key.filename:
            shutil.rmtree(cdir, ignore_errors=True)
            raise HTTPException(400, "A chave de sessão (.pem) é obrigatória para autenticação por token.")
        key_bytes = await private_key.read()
        kp.write_bytes(key_bytes); kp.chmod(0o600)
        # Save security token file
        token_file = cdir / "token"
        token_file.write_text(security_token.strip())
        token_file.chmod(0o600)
        # Generate config
        cfg_content = (f"[DEFAULT]\ntenancy={tenancy_ocid}\nregion={region}\n"
                       f"key_file={kp}\nsecurity_token_file={token_file}\n")
        if user_ocid:
            cfg_content = f"[DEFAULT]\nuser={user_ocid}\n" + cfg_content.replace("[DEFAULT]\n", "")
        cfg_file = cdir / "config"
        cfg_file.write_text(cfg_content); cfg_file.chmod(0o600)
        # For session_token, fingerprint/user may not be provided — use placeholders
        user_ocid = user_ocid or "session_token_user"
        fingerprint = fingerprint or "session_token"
    else:
        # API Key auth (original flow)
        if not user_ocid or not fingerprint:
            shutil.rmtree(cdir, ignore_errors=True)
            raise HTTPException(400, "OCID User e Fingerprint são obrigatórios para API Key.")
        if not private_key or not private_key.filename:
            shutil.rmtree(cdir, ignore_errors=True)
            raise HTTPException(400, "Selecione a chave privada (.pem).")
        key_bytes = await private_key.read()
        kp.write_bytes(key_bytes); kp.chmod(0o600)
        key_text = key_bytes.decode("utf-8", errors="ignore")
        key_is_encrypted = "ENCRYPTED" in key_text or "Proc-Type: 4,ENCRYPTED" in key_text
        if key_is_encrypted and not key_passphrase:
            shutil.rmtree(cdir, ignore_errors=True)
            raise HTTPException(400, "A chave privada está criptografada (ENCRYPTED). Informe a Key Passphrase.")
        if public_key and public_key.filename:
            (cdir / "oci_api_key_public.pem").write_bytes(await public_key.read())
        cfg_file = cdir / "config"
        cfg_content = (f"[DEFAULT]\nuser={user_ocid}\nfingerprint={fingerprint}\n"
                       f"tenancy={tenancy_ocid}\nregion={region}\nkey_file={kp}\n")
        if key_passphrase:
            cfg_content += f"pass_phrase={key_passphrase}\n"
        cfg_file.write_text(cfg_content); cfg_file.chmod(0o600)

    with db() as c:
        c.execute("INSERT INTO oci_configs (id,user_id,tenancy_name,tenancy_ocid,user_ocid,fingerprint,region,key_file_path,compartment_id,ssh_public_key,auth_type) VALUES (?,?,?,?,?,?,?,?,?,?,?)",
                  (cid, u["id"], tenancy_name, _enc(tenancy_ocid), _enc(user_ocid), _enc(fingerprint), region, str(kp), _enc(compartment_id) if compartment_id else None, ssh_public_key.strip() if ssh_public_key.strip() else None, auth_type))
    _audit(u["id"], u["username"], "save_oci_config", cid, f"tenancy={tenancy_name} auth={auth_type}")
    _config_log("oci", cid, tenancy_name, "success", "save", f"Credencial salva: {tenancy_name} ({region}) [{auth_type}]", u["id"], u["username"])
    return {"id": cid, "tenancy_name": tenancy_name, "region": region}

@app.get("/api/oci/configs")
async def list_oci(u=Depends(current_user)):
    with db() as c:
        cols = "id,user_id,tenancy_name,tenancy_ocid,user_ocid,fingerprint,region,compartment_id,ssh_public_key,auth_type,created_at"
        if u["role"]=="admin": rows=c.execute(f"SELECT {cols} FROM oci_configs").fetchall()
        else: rows=c.execute(f"SELECT {cols} FROM oci_configs WHERE user_id=?",(u["id"],)).fetchall()
    result = []
    for r in rows:
        d = dict(r)
        # Decrypt and mask sensitive fields for display
        try:
            d["tenancy_ocid"] = _mask(_dec(d["tenancy_ocid"]))
        except Exception:
            d["tenancy_ocid"] = _mask(d["tenancy_ocid"])
        try:
            d["user_ocid"] = _mask(_dec(d["user_ocid"]))
        except Exception:
            d["user_ocid"] = _mask(d["user_ocid"])
        d["fingerprint"] = "•" * 20  # fingerprint fully masked
        if d.get("compartment_id"):
            try:
                d["compartment_id"] = _mask(_dec(d["compartment_id"]))
            except Exception:
                d["compartment_id"] = _mask(d["compartment_id"])
        if d.get("ssh_public_key"):
            # Show just type + first/last few chars for identification
            parts = d["ssh_public_key"].split()
            d["ssh_public_key_preview"] = f"{parts[0]} ...{parts[1][-12:]}" if len(parts) >= 2 else "ssh-rsa ..."
        result.append(d)
    return result

@app.delete("/api/oci/configs/{cid}")
async def del_oci(cid: str, u=Depends(require("admin","user"))):
    with db() as c:
        cfg=c.execute("SELECT * FROM oci_configs WHERE id=?",(cid,)).fetchone()
        if not cfg: raise HTTPException(404)
        if u["role"]!="admin" and cfg["user_id"]!=u["id"]: raise HTTPException(403)
        c.execute("DELETE FROM oci_configs WHERE id=?",(cid,))
    d=OCI_DIR/cid
    if d.exists(): shutil.rmtree(d)
    return {"ok": True}

@app.put("/api/oci/configs/{cid}")
async def update_oci(
    cid: str,
    tenancy_name: str = Form(...), tenancy_ocid: str = Form(""),
    user_ocid: str = Form(""), fingerprint: str = Form(""),
    region: str = Form(...), compartment_id: str = Form(""),
    key_passphrase: str = Form(""),
    ssh_public_key: str = Form(""),
    auth_type: str = Form(""),
    security_token: str = Form(""),
    private_key: Optional[UploadFile] = File(None), public_key: Optional[UploadFile] = File(None),
    u = Depends(require("admin","user"))
):
    _PEM_EXTS = {".pem", ".key"}
    if private_key and private_key.filename:
        await _validate_upload(private_key, _PEM_EXTS)
        private_key.file.seek(0)
    if public_key and public_key.filename:
        await _validate_upload(public_key, _PEM_EXTS)
        public_key.file.seek(0)
    with db() as c:
        existing = c.execute("SELECT * FROM oci_configs WHERE id=?", (cid,)).fetchone()
    if not existing: raise HTTPException(404)
    if u["role"] != "admin" and existing["user_id"] != u["id"]: raise HTTPException(403)
    # Keep existing encrypted values if not provided (empty = keep current)
    tenancy_ocid = tenancy_ocid or _safe_dec(existing["tenancy_ocid"])
    user_ocid = user_ocid or _safe_dec(existing["user_ocid"])
    fingerprint = fingerprint or _safe_dec(existing["fingerprint"])
    compartment_id = compartment_id or _safe_dec(existing["compartment_id"]) or ""
    try:
        existing_auth = existing["auth_type"] or "api_key"
    except (IndexError, KeyError):
        existing_auth = "api_key"
    auth_type = auth_type or existing_auth
    try:
        existing_ssh = existing["ssh_public_key"] or ""
    except (IndexError, KeyError):
        existing_ssh = ""
    ssh_public_key = ssh_public_key.strip() if ssh_public_key.strip() else existing_ssh
    cdir = OCI_DIR / cid; cdir.mkdir(parents=True, exist_ok=True)
    kp = cdir / "oci_api_key.pem"
    if private_key and private_key.filename:
        key_bytes = await private_key.read()
        kp.write_bytes(key_bytes); kp.chmod(0o600)
        key_text = key_bytes.decode("utf-8", errors="ignore")
        if auth_type == "api_key" and ("ENCRYPTED" in key_text or "Proc-Type: 4,ENCRYPTED" in key_text) and not key_passphrase:
            raise HTTPException(400, "A chave privada está criptografada (ENCRYPTED). Informe a Key Passphrase.")
    if public_key and public_key.filename:
        (cdir / "oci_api_key_public.pem").write_bytes(await public_key.read())
    # Update session token file if provided
    if security_token.strip():
        token_file = cdir / "token"
        token_file.write_text(security_token.strip()); token_file.chmod(0o600)
    cfg_file = cdir / "config"
    if auth_type == "session_token":
        token_path = cdir / "token"
        cfg_content = f"[DEFAULT]\ntenancy={tenancy_ocid}\nregion={region}\nkey_file={kp}\n"
        if user_ocid and user_ocid != "session_token_user":
            cfg_content = f"[DEFAULT]\nuser={user_ocid}\ntenancy={tenancy_ocid}\nregion={region}\nkey_file={kp}\n"
        cfg_content += f"security_token_file={token_path}\n"
    else:
        cfg_content = (f"[DEFAULT]\nuser={user_ocid}\nfingerprint={fingerprint}\n"
                       f"tenancy={tenancy_ocid}\nregion={region}\nkey_file={kp}\n")
        if key_passphrase:
            cfg_content += f"pass_phrase={key_passphrase}\n"
    cfg_file.write_text(cfg_content); cfg_file.chmod(0o600)
    with db() as c:
        c.execute("UPDATE oci_configs SET tenancy_name=?,tenancy_ocid=?,user_ocid=?,fingerprint=?,region=?,compartment_id=?,ssh_public_key=?,auth_type=? WHERE id=?",
                  (tenancy_name, _enc(tenancy_ocid), _enc(user_ocid), _enc(fingerprint), region, _enc(compartment_id) if compartment_id else None, ssh_public_key or None, auth_type, cid))
    _audit(u["id"], u["username"], "update_oci_config", cid, f"tenancy={tenancy_name} auth={auth_type}")
    _config_log("oci", cid, tenancy_name, "success", "save", f"Credencial atualizada: {tenancy_name} ({region}) [{auth_type}]", u["id"], u["username"])
    return {"id": cid, "tenancy_name": tenancy_name, "region": region}

@app.post("/api/oci/test/{cid}")
async def test_oci(cid: str, u=Depends(require("admin","user"))):
    cp = OCI_DIR / cid / "config"
    cname = None
    with db() as c:
        row = c.execute("SELECT tenancy_name FROM oci_configs WHERE id=?", (cid,)).fetchone()
        if row: cname = row["tenancy_name"]
    if not cp.exists():
        _config_log("oci", cid, cname, "error", "test", "Config não encontrada", u["id"], u["username"])
        return {"status":"error","message":"Config não encontrada"}
    try:
        loop = asyncio.get_event_loop()
        r = await loop.run_in_executor(None, partial(
            subprocess.run, ["oci","iam","region","list","--config-file",str(cp),"--output","json"],
            capture_output=True, text=True, timeout=30, stdin=subprocess.DEVNULL))
        if r.returncode == 0:
            _config_log("oci", cid, cname, "success", "test", "Conexão OK", u["id"], u["username"])
            return {"status":"success","message":"Conexão OK","data":json.loads(r.stdout)}
        msg = r.stderr[:500]
        if "passphrase" in msg.lower() or "getpass" in msg.lower():
            msg = "A chave privada requer passphrase. Recadastre a credencial informando a Key Passphrase."
        _config_log("oci", cid, cname, "error", "test", msg, u["id"], u["username"])
        return {"status":"error","message":msg}
    except FileNotFoundError:
        _config_log("oci", cid, cname, "error", "test", "OCI CLI não disponível no container.", u["id"], u["username"])
        return {"status":"error","message":"OCI CLI não disponível no container."}
    except subprocess.TimeoutExpired:
        _config_log("oci", cid, cname, "error", "test", "Timeout na conexão", u["id"], u["username"])
        return {"status":"error","message":"Timeout na conexão"}
    except Exception as e:
        _config_log("oci", cid, cname, "error", "test", str(e)[:500], u["id"], u["username"])
        return {"status":"error","message":str(e)[:500]}

# ── OCI Account Explorer ──────────────────────────────────────────────────────
@app.get("/api/oci/explore/{cid}/compartments")
async def explore_compartments(cid: str, u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        identity = oci.identity.IdentityClient(config)
        with db() as c:
            cfg = c.execute("SELECT tenancy_ocid,compartment_id FROM oci_configs WHERE id=?", (cid,)).fetchone()
        root = _safe_dec(cfg["compartment_id"]) or _safe_dec(cfg["tenancy_ocid"])
        comps = identity.list_compartments(root, compartment_id_in_subtree=True).data
        return [{"id":cp.id,"name":cp.name,"lifecycle_state":cp.lifecycle_state,"description":cp.description or ""} for cp in comps if cp.lifecycle_state == "ACTIVE"]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/regions")
async def explore_regions(cid: str, u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        identity = oci.identity.IdentityClient(config)
        with db() as c:
            cfg = c.execute("SELECT tenancy_ocid FROM oci_configs WHERE id=?", (cid,)).fetchone()
        regions = identity.list_region_subscriptions(_safe_dec(cfg["tenancy_ocid"])).data
        return [{"name":r.region_name,"key":r.region_key,"status":r.status,"is_home":r.is_home_region} for r in regions]
    except Exception as e:
        return {"error": str(e)[:500]}

_DEAD_STATES = {'TERMINATED','TERMINATING','DELETED','DELETING','PENDING_DELETION','FAULTY'}

_EXP_RESOURCE_TYPES = [
    'instances','boot_volumes','instance_pools',
    'vcns','subnets','security_lists','nsgs','route_tables','nat_gateways',
    'internet_gateways','service_gateways','public_ips','load_balancers',
    'buckets','block_volumes','file_systems','mount_targets',
    'databases','db_systems','mysql_db_systems',
    'container_instances','oke_clusters',
    'functions','api_gateways',
    'alarms','log_groups','notification_topics','events_rules',
    'vaults','dns_zones','network_firewalls','network_firewall_policies',
    'iam_users','iam_groups','iam_policies','iam_dynamic_groups',
]

def _explore_comp(cid):
    """Helper: resolve compartment from config."""
    with db() as c:
        cfg = c.execute("SELECT tenancy_ocid,compartment_id FROM oci_configs WHERE id=?", (cid,)).fetchone()
    return cfg, _safe_dec(cfg["compartment_id"]) or _safe_dec(cfg["tenancy_ocid"])

# ── Explorer Counts Cache ─────────────────────────────────────────────────────
@app.get("/api/oci/explore/{cid}/counts")
async def explore_counts_cached(cid: str, compartment_id: str = Query(...), regions: str = Query(""), u=Depends(current_user)):
    """Return cached resource counts from DB (instant)."""
    with db() as c:
        rows = c.execute(
            "SELECT resource_type, count, updated_at FROM explorer_counts_cache WHERE oci_config_id=? AND compartment_id=? AND regions=?",
            (cid, compartment_id, regions)).fetchall()
    return {r["resource_type"]: {"count": r["count"], "updated_at": r["updated_at"]} for r in rows}

@app.post("/api/oci/explore/{cid}/counts/refresh")
async def explore_counts_refresh(cid: str, req: dict, u=Depends(current_user)):
    """Refresh all resource counts in background thread and save to DB."""
    compartment_id = req.get("compartment_id")
    regions_list = req.get("regions", [])
    if not compartment_id:
        raise HTTPException(400, "compartment_id required")
    regions_key = ",".join(sorted(regions_list)) if regions_list else ""
    import threading
    def _do_refresh():
        import httpx, asyncio
        _exp_fn_map = {}  # will call explore endpoints via internal dispatch
        results = {}
        for rt in _EXP_RESOURCE_TYPES:
            fn_name = f"explore_{rt}"
            fn = globals().get(fn_name)
            if not fn:
                results[rt] = 0
                continue
            try:
                loop = asyncio.new_event_loop()
                regs = regions_list if regions_list else [None]
                total = 0
                for reg in regs:
                    # IAM endpoints don't take compartment_id/region
                    if rt.startswith('iam_') and rt != 'iam_policies':
                        data = loop.run_until_complete(fn(cid, u=u))
                    elif rt == 'iam_policies':
                        data = loop.run_until_complete(fn(cid, compartment_id=compartment_id, u=u))
                    else:
                        data = loop.run_until_complete(fn(cid, compartment_id=compartment_id, region=reg, u=u))
                    if isinstance(data, list):
                        total += len(data)
                    elif isinstance(data, dict) and not data.get("error"):
                        total += 0
                results[rt] = total
                loop.close()
            except Exception as e:
                log.warning(f"Explorer count refresh error for {rt}: {e}")
                results[rt] = 0
        # Save to DB
        with db() as c:
            for rt, cnt in results.items():
                c.execute("""INSERT INTO explorer_counts_cache (oci_config_id, compartment_id, resource_type, count, regions, updated_at)
                    VALUES (?,?,?,?,?,datetime('now'))
                    ON CONFLICT(oci_config_id, compartment_id, resource_type, regions)
                    DO UPDATE SET count=excluded.count, updated_at=datetime('now')""",
                    (cid, compartment_id, rt, cnt, regions_key))
        log.info(f"Explorer counts refreshed for config={cid} comp={compartment_id[:20]}... total_types={len(results)}")
    threading.Thread(target=_do_refresh, daemon=True).start()
    return {"status": "refreshing", "types": len(_EXP_RESOURCE_TYPES)}

@app.get("/api/oci/explore/{cid}/compartment-tree")
async def explore_compartment_tree(cid: str, u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        identity = oci.identity.IdentityClient(config)
        cfg, default_comp = _explore_comp(cid)
        tenancy = _safe_dec(cfg["tenancy_ocid"]) or default_comp
        user_comp = _safe_dec(cfg["compartment_id"])
        # Use tenancy as root for the tree
        tree = [{"id": tenancy, "name": "root (tenancy)", "parent_id": None}]
        try:
            comps = identity.list_compartments(tenancy, compartment_id_in_subtree=True).data
            seen = {tenancy}
            for cp in comps:
                if cp.lifecycle_state == "ACTIVE":
                    tree.append({"id":cp.id, "name":cp.name, "parent_id":cp.compartment_id,
                                 "lifecycle_state":cp.lifecycle_state})
                    seen.add(cp.id)
            # If user's configured compartment is not in the tree, add it explicitly
            if user_comp and user_comp != tenancy and user_comp not in seen:
                try:
                    cp = identity.get_compartment(user_comp).data
                    tree.append({"id":cp.id, "name":cp.name, "parent_id":cp.compartment_id,
                                 "lifecycle_state":cp.lifecycle_state})
                except Exception as e:
                    log.warning(f"Failed to get compartment {user_comp}: {e}")
                    tree.append({"id":user_comp, "name":"Meu Compartment", "parent_id":tenancy,
                                 "lifecycle_state":"ACTIVE"})
        except Exception as e:
            log.warning(f"Failed to list compartments from tenancy: {e}")
            # If listing from tenancy fails (no permission), list from user's compartment
            if user_comp and user_comp != tenancy:
                try:
                    cp = identity.get_compartment(user_comp).data
                    tree = [{"id":cp.id, "name":cp.name, "parent_id": None, "lifecycle_state":cp.lifecycle_state}]
                    sub = identity.list_compartments(user_comp, compartment_id_in_subtree=True).data
                    tree += [{"id":s.id, "name":s.name, "parent_id":s.compartment_id,
                              "lifecycle_state":s.lifecycle_state} for s in sub if s.lifecycle_state == "ACTIVE"]
                except Exception as e:
                    log.warning(f"Failed to list sub-compartments for {user_comp}: {e}")
                    tree = [{"id":user_comp, "name":"Meu Compartment", "parent_id": None, "lifecycle_state":"ACTIVE"}]
        return tree
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/vcns")
async def explore_vcns(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        vcns = vn.list_vcns(comp).data
        return [{"id":v.id,"display_name":v.display_name,"cidr_blocks":v.cidr_blocks,"lifecycle_state":v.lifecycle_state,
                 "dns_label":v.dns_label,"vcn_domain_name":v.vcn_domain_name,
                 "default_route_table_id":v.default_route_table_id,"default_security_list_id":v.default_security_list_id,
                 "time_created":str(v.time_created)} for v in vcns if v.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/instances")
async def explore_instances(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        compute = oci.core.ComputeClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        insts = compute.list_instances(comp).data
        return [{"id":i.id,"display_name":i.display_name,"shape":i.shape,"lifecycle_state":i.lifecycle_state,"region":i.region,"time_created":str(i.time_created)} for i in insts if i.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/databases")
async def explore_databases(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        db_client = oci.database.DatabaseClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        adbs = db_client.list_autonomous_databases(comp).data
        return [{"id":a.id,"display_name":a.display_name,"db_name":a.db_name,"lifecycle_state":a.lifecycle_state,
                 "cpu_core_count":a.cpu_core_count,"data_storage_size_in_tbs":a.data_storage_size_in_tbs,
                 "is_free_tier":a.is_free_tier,"whitelisted_ips":a.whitelisted_ips or []} for a in adbs if a.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/buckets")
async def explore_buckets(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        os_client = oci.object_storage.ObjectStorageClient(config)
        namespace = os_client.get_namespace().data
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        buckets = os_client.list_buckets(namespace, comp, fields=["approximateSize","approximateCount"]).data
        return [{"name":b.name,"namespace":b.namespace,"time_created":str(b.time_created),
                 "approximate_size":b.approximate_size,"approximate_count":b.approximate_count,
                 "public_access_type":b.public_access_type or "NoPublicAccess",
                 "storage_tier":b.storage_tier,"versioning":b.versioning} for b in buckets]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/subnets")
async def explore_subnets(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        subs = vn.list_subnets(comp).data
        return [{"id":s.id,"display_name":s.display_name,"cidr_block":s.cidr_block,"vcn_id":s.vcn_id,
                 "lifecycle_state":s.lifecycle_state,"prohibit_public_ip_on_vnic":s.prohibit_public_ip_on_vnic,
                 "availability_domain":s.availability_domain or "Regional","dns_label":s.dns_label,
                 "route_table_id":s.route_table_id,"security_list_ids":s.security_list_ids,
                 "subnet_domain_name":s.subnet_domain_name,"time_created":str(s.time_created)} for s in subs if s.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/security_lists")
async def explore_security_lists(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        sls = vn.list_security_lists(comp).data
        def _fmt_rule(r, direction, idx):
            proto_map = {"6":"TCP","17":"UDP","1":"ICMP","all":"ALL"}
            proto = proto_map.get(r.protocol, r.protocol)
            src_dst = r.source if direction == "ingress" else r.destination
            ports = ""
            if r.tcp_options:
                dp = r.tcp_options.destination_port_range
                if dp: ports = f"{dp.min}-{dp.max}" if dp.min != dp.max else str(dp.min)
            elif r.udp_options:
                dp = r.udp_options.destination_port_range
                if dp: ports = f"{dp.min}-{dp.max}" if dp.min != dp.max else str(dp.min)
            return {"direction":direction,"protocol":proto,"source_dest":src_dst or "","ports":ports,
                    "stateless":r.is_stateless,"description":getattr(r,'description','') or "","rule_index":idx}
        result = []
        for s in sls:
            if s.lifecycle_state in _DEAD_STATES: continue
            ingress = [_fmt_rule(r,"ingress",i) for i,r in enumerate(s.ingress_security_rules or [])]
            egress = [_fmt_rule(r,"egress",i) for i,r in enumerate(s.egress_security_rules or [])]
            result.append({"id":s.id,"display_name":s.display_name,"vcn_id":s.vcn_id,"lifecycle_state":s.lifecycle_state,
                           "ingress_count":len(ingress),"egress_count":len(egress),"rules":ingress+egress})
        return result
    except Exception as e:
        return {"error": str(e)[:500]}

@app.post("/api/oci/explore/{cid}/security_lists/{sl_id}/rules")
async def add_security_list_rule(cid: str, sl_id: str, req: dict, u=Depends(require("admin", "user"))):
    """Add a rule to a Security List (appends to existing rules)."""
    try:
        import oci
        config = _get_oci_config(cid)
        region = req.get("region")
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        sl = vn.get_security_list(sl_id).data
        direction = req.get("direction", "ingress").lower()
        protocol = str(req.get("protocol", "6"))
        source_dest = req.get("source_dest", "0.0.0.0/0")
        port_min = req.get("port_min")
        port_max = req.get("port_max")
        description = req.get("description", "").strip() or None
        is_stateless = req.get("is_stateless", False)
        tcp_opts = None
        udp_opts = None
        if protocol == "6" and port_min is not None:
            tcp_opts = oci.core.models.TcpOptions(
                destination_port_range=oci.core.models.PortRange(min=int(port_min), max=int(port_max or port_min)))
        elif protocol == "17" and port_min is not None:
            udp_opts = oci.core.models.UdpOptions(
                destination_port_range=oci.core.models.PortRange(min=int(port_min), max=int(port_max or port_min)))
        ingress_rules = list(sl.ingress_security_rules or [])
        egress_rules = list(sl.egress_security_rules or [])
        if direction == "ingress":
            ingress_rules.append(oci.core.models.IngressSecurityRule(
                protocol=protocol, source=source_dest, source_type="CIDR_BLOCK",
                is_stateless=is_stateless, description=description,
                tcp_options=tcp_opts, udp_options=udp_opts))
        else:
            egress_rules.append(oci.core.models.EgressSecurityRule(
                protocol=protocol, destination=source_dest, destination_type="CIDR_BLOCK",
                is_stateless=is_stateless, description=description,
                tcp_options=tcp_opts, udp_options=udp_opts))
        update = oci.core.models.UpdateSecurityListDetails(
            ingress_security_rules=ingress_rules, egress_security_rules=egress_rules)
        vn.update_security_list(sl_id, update)
        _audit(u["id"], u["username"], "seclist_add_rule", sl_id,
               f"{direction} {protocol} {source_dest} port={port_min or 'ALL'}")
        return {"ok": True, "message": "Regra adicionada com sucesso"}
    except Exception as e:
        raise HTTPException(400, str(e)[:500])

@app.delete("/api/oci/explore/{cid}/security_lists/{sl_id}/rules")
async def remove_security_list_rule(cid: str, sl_id: str, req: dict, u=Depends(require("admin", "user"))):
    """Remove a rule from a Security List by index."""
    try:
        import oci
        config = _get_oci_config(cid)
        region = req.get("region")
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        sl = vn.get_security_list(sl_id).data
        direction = req.get("direction", "ingress").lower()
        rule_index = req.get("rule_index")
        if rule_index is None: raise HTTPException(400, "rule_index obrigatório")
        ingress_rules = list(sl.ingress_security_rules or [])
        egress_rules = list(sl.egress_security_rules or [])
        if direction == "ingress":
            if 0 <= rule_index < len(ingress_rules):
                removed = ingress_rules.pop(rule_index)
                desc = f"ingress idx={rule_index} src={removed.source}"
            else:
                raise HTTPException(400, "Índice inválido")
        else:
            if 0 <= rule_index < len(egress_rules):
                removed = egress_rules.pop(rule_index)
                desc = f"egress idx={rule_index} dst={removed.destination}"
            else:
                raise HTTPException(400, "Índice inválido")
        update = oci.core.models.UpdateSecurityListDetails(
            ingress_security_rules=ingress_rules, egress_security_rules=egress_rules)
        vn.update_security_list(sl_id, update)
        _audit(u["id"], u["username"], "seclist_remove_rule", sl_id, desc)
        return {"ok": True, "message": "Regra removida com sucesso"}
    except Exception as e:
        raise HTTPException(400, str(e)[:500])

@app.get("/api/oci/explore/{cid}/block_volumes")
async def explore_block_volumes(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        bs = oci.core.BlockstorageClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        vols = bs.list_volumes(compartment_id=comp).data
        return [{"id":v.id,"display_name":v.display_name,"size_in_gbs":v.size_in_gbs,
                 "lifecycle_state":v.lifecycle_state,"vpus_per_gb":v.vpus_per_gb} for v in vols if v.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/load_balancers")
async def explore_load_balancers(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        lb = oci.load_balancer.LoadBalancerClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        lbs = lb.list_load_balancers(comp).data
        result = []
        for l in lbs:
            if l.lifecycle_state in _DEAD_STATES: continue
            listeners = []
            for name, lis in (l.listeners or {}).items():
                listeners.append({"name": name, "port": lis.port, "protocol": lis.protocol,
                                  "backend_set": lis.default_backend_set_name})
            backend_sets = []
            for name, bs in (l.backend_sets or {}).items():
                backends = [{"ip": b.ip_address, "port": b.port, "weight": b.weight} for b in (bs.backends or [])]
                backend_sets.append({"name": name, "backends": backends, "policy": bs.policy})
            result.append({"id":l.id,"display_name":l.display_name,"lifecycle_state":l.lifecycle_state,
                           "shape_name":l.shape_name,"ip_addresses":[ip.ip_address for ip in (l.ip_addresses or [])],
                           "is_private":l.is_private,"listeners":listeners,"backend_sets":backend_sets})
        return result
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/functions")
async def explore_functions(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        fn = oci.functions.FunctionsManagementClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        apps = fn.list_applications(comp).data
        result = []
        for a in apps:
            if a.lifecycle_state in _DEAD_STATES: continue
            fns = fn.list_functions(a.id).data
            for f in fns:
                if f.lifecycle_state in _DEAD_STATES: continue
                result.append({"id":f.id,"display_name":f.display_name,"application":a.display_name,
                               "lifecycle_state":f.lifecycle_state,"memory_in_mbs":f.memory_in_mbs,
                               "timeout_in_seconds":f.timeout_in_seconds,"image":f.image})
        return result
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/container_instances")
async def explore_container_instances(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        ci = oci.container_instances.ContainerInstanceClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        cis = ci.list_container_instances(comp).data
        return [{"id":c.id,"display_name":c.display_name,"lifecycle_state":c.lifecycle_state,
                 "container_count":c.container_count,"shape":c.shape,
                 "time_created":str(c.time_created)} for c in cis if c.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/nsgs")
async def explore_nsgs(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        nsgs = vn.list_network_security_groups(compartment_id=comp).data
        result = []
        proto_map = {"1": "ICMP", "6": "TCP", "17": "UDP", "all": "ALL"}
        for n in nsgs:
            if n.lifecycle_state in _DEAD_STATES: continue
            rules_data = oci.pagination.list_call_get_all_results(
                vn.list_network_security_group_security_rules, n.id).data
            rules = []
            for r in rules_data:
                ports = ""
                if r.tcp_options and r.tcp_options.destination_port_range:
                    pr = r.tcp_options.destination_port_range
                    ports = str(pr.min) if pr.min == pr.max else f"{pr.min}-{pr.max}"
                elif r.udp_options and r.udp_options.destination_port_range:
                    pr = r.udp_options.destination_port_range
                    ports = str(pr.min) if pr.min == pr.max else f"{pr.min}-{pr.max}"
                src_dst = ""
                src_dst_type = ""
                if r.direction == "INGRESS":
                    src_dst = r.source or ""
                    src_dst_type = r.source_type or ""
                else:
                    src_dst = r.destination or ""
                    src_dst_type = r.destination_type or ""
                rules.append({
                    "id": r.id, "direction": r.direction,
                    "protocol": proto_map.get(r.protocol, r.protocol),
                    "protocol_num": r.protocol,
                    "source_dest": src_dst, "source_dest_type": src_dst_type,
                    "ports": ports, "is_stateless": r.is_stateless or False,
                    "description": r.description or ""
                })
            result.append({"id": n.id, "display_name": n.display_name, "vcn_id": n.vcn_id,
                           "lifecycle_state": n.lifecycle_state, "time_created": str(n.time_created),
                           "rule_count": len(rules), "rules": rules})
        return result
    except Exception as e:
        return {"error": str(e)[:500]}

@app.post("/api/oci/explore/{cid}/nsgs/{nsg_id}/rules")
async def add_nsg_rule(cid: str, nsg_id: str, req: dict, u=Depends(require("admin", "user"))):
    """Add a security rule to an NSG."""
    try:
        import oci
        config = _get_oci_config(cid)
        region = req.get("region")
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        direction = req.get("direction", "INGRESS").upper()
        protocol = str(req.get("protocol", "6"))
        source_dest = req.get("source_dest", "0.0.0.0/0")
        source_dest_type = req.get("source_dest_type", "CIDR_BLOCK")
        port_min = req.get("port_min")
        port_max = req.get("port_max")
        description = req.get("description", "")
        is_stateless = req.get("is_stateless", False)
        rule = {"direction": direction, "protocol": protocol, "is_stateless": is_stateless, "description": description}
        if direction == "INGRESS":
            rule["source"] = source_dest
            rule["source_type"] = source_dest_type
        else:
            rule["destination"] = source_dest
            rule["destination_type"] = source_dest_type
        if protocol == "6" and port_min is not None:
            rule["tcp_options"] = oci.core.models.TcpOptions(
                destination_port_range=oci.core.models.PortRange(min=int(port_min), max=int(port_max or port_min)))
        elif protocol == "17" and port_min is not None:
            rule["udp_options"] = oci.core.models.UdpOptions(
                destination_port_range=oci.core.models.PortRange(min=int(port_min), max=int(port_max or port_min)))
        details = oci.core.models.AddNetworkSecurityGroupSecurityRulesDetails(
            security_rules=[oci.core.models.AddSecurityRuleDetails(**rule)])
        resp = vn.add_network_security_group_security_rules(nsg_id, details)
        _audit(u["id"], u["username"], "nsg_add_rule", nsg_id, f"{direction} {protocol} {source_dest} {port_min or 'ALL'}")
        added = [{"id": r.id} for r in (resp.data.security_rules or [])]
        return {"ok": True, "message": "Regra adicionada com sucesso", "rules_added": added}
    except Exception as e:
        raise HTTPException(400, str(e)[:500])

@app.delete("/api/oci/explore/{cid}/nsgs/{nsg_id}/rules/{rule_id}")
async def remove_nsg_rule(cid: str, nsg_id: str, rule_id: str, region: str = Query(None), u=Depends(require("admin", "user"))):
    """Remove a security rule from an NSG."""
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        details = oci.core.models.RemoveNetworkSecurityGroupSecurityRulesDetails(security_rule_ids=[rule_id])
        vn.remove_network_security_group_security_rules(nsg_id, details)
        _audit(u["id"], u["username"], "nsg_remove_rule", nsg_id, f"rule_id={rule_id}")
        return {"ok": True, "message": "Regra removida com sucesso"}
    except Exception as e:
        raise HTTPException(400, str(e)[:500])

@app.get("/api/oci/explore/{cid}/route_tables")
async def explore_route_tables(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        rts = vn.list_route_tables(comp).data
        result = []
        for rt in rts:
            if rt.lifecycle_state in _DEAD_STATES: continue
            routes = []
            for r in (rt.route_rules or []):
                target_type = r.network_entity_id.split(".")[1] if r.network_entity_id and "." in r.network_entity_id else "unknown"
                routes.append({"destination":r.destination or "","destination_type":r.destination_type or "",
                               "target_id":r.network_entity_id or "","target_type":target_type,
                               "description":getattr(r,'description','') or ""})
            result.append({"id":rt.id,"display_name":rt.display_name,"vcn_id":rt.vcn_id,"lifecycle_state":rt.lifecycle_state,
                           "route_count":len(routes),"routes":routes})
        return result
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/nat_gateways")
async def explore_nat_gateways(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        ngs = vn.list_nat_gateways(comp).data
        return [{"id":n.id,"display_name":n.display_name,"vcn_id":n.vcn_id,"lifecycle_state":n.lifecycle_state,
                 "nat_ip":n.nat_ip,"block_traffic":n.block_traffic} for n in ngs if n.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/internet_gateways")
async def explore_internet_gateways(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        igs = vn.list_internet_gateways(comp).data
        return [{"id":g.id,"display_name":g.display_name,"vcn_id":g.vcn_id,"lifecycle_state":g.lifecycle_state,
                 "is_enabled":g.is_enabled} for g in igs if g.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/service_gateways")
async def explore_service_gateways(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        sgs = vn.list_service_gateways(comp).data
        return [{"id":g.id,"display_name":g.display_name,"vcn_id":g.vcn_id,"lifecycle_state":g.lifecycle_state,
                 "services":[s.service_name for s in (g.services or [])]} for g in sgs if g.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/public_ips")
async def explore_public_ips(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        vn = oci.core.VirtualNetworkClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        ips = vn.list_public_ips(scope="REGION", compartment_id=comp).data
        return [{"id":ip.id,"display_name":ip.display_name or "—","ip_address":ip.ip_address,
                 "lifecycle_state":ip.lifecycle_state,"lifetime":ip.lifetime,
                 "assigned_entity_type":ip.assigned_entity_type} for ip in ips if ip.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/boot_volumes")
async def explore_boot_volumes(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        identity = oci.identity.IdentityClient(config)
        bs = oci.core.BlockstorageClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        ads = identity.list_availability_domains(comp).data
        result = []
        for ad in ads:
            bvs = bs.list_boot_volumes(availability_domain=ad.name, compartment_id=comp).data
            for v in bvs:
                if v.lifecycle_state in _DEAD_STATES: continue
                result.append({"id":v.id,"display_name":v.display_name,"size_in_gbs":v.size_in_gbs,
                               "lifecycle_state":v.lifecycle_state,"availability_domain":ad.name,
                               "vpus_per_gb":v.vpus_per_gb})
        return result
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/instance_pools")
async def explore_instance_pools(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        cm = oci.core.ComputeManagementClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        pools = cm.list_instance_pools(comp).data
        return [{"id":p.id,"display_name":p.display_name,"lifecycle_state":p.lifecycle_state,
                 "size":p.size,"time_created":str(p.time_created)} for p in pools if p.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/oke_clusters")
async def explore_oke_clusters(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        ce = oci.container_engine.ContainerEngineClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        clusters = ce.list_clusters(comp).data
        return [{"id":c.id,"name":c.name,"lifecycle_state":c.lifecycle_state,
                 "kubernetes_version":c.kubernetes_version,"vcn_id":c.vcn_id,
                 "endpoint_config":c.endpoint_config.is_public_ip_enabled if c.endpoint_config else None} for c in clusters if c.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/file_systems")
async def explore_file_systems(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        identity = oci.identity.IdentityClient(config)
        fss = oci.file_storage.FileStorageClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        ads = identity.list_availability_domains(comp).data
        result = []
        for ad in ads:
            fs_list = fss.list_file_systems(comp, ad.name).data
            for f in fs_list:
                if f.lifecycle_state in _DEAD_STATES: continue
                result.append({"id":f.id,"display_name":f.display_name,"lifecycle_state":f.lifecycle_state,
                               "availability_domain":ad.name,"metered_bytes":f.metered_bytes,
                               "time_created":str(f.time_created)})
        return result
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/mount_targets")
async def explore_mount_targets(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        identity = oci.identity.IdentityClient(config)
        fss = oci.file_storage.FileStorageClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        ads = identity.list_availability_domains(comp).data
        result = []
        for ad in ads:
            mts = fss.list_mount_targets(comp, ad.name).data
            for m in mts:
                if m.lifecycle_state in _DEAD_STATES: continue
                result.append({"id":m.id,"display_name":m.display_name,"lifecycle_state":m.lifecycle_state,
                               "availability_domain":ad.name,"subnet_id":m.subnet_id,
                               "private_ip_ids":m.private_ip_ids})
        return result
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/db_systems")
async def explore_db_systems(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        db_client = oci.database.DatabaseClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        dbs = db_client.list_db_systems(comp).data
        return [{"id":d.id,"display_name":d.display_name,"lifecycle_state":d.lifecycle_state,
                 "shape":d.shape,"database_edition":d.database_edition,
                 "cpu_core_count":d.cpu_core_count,"node_count":d.node_count} for d in dbs if d.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/mysql_db_systems")
async def explore_mysql_db_systems(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        mysql = oci.mysql.DbSystemClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        dbs = mysql.list_db_systems(comp).data
        return [{"id":d.id,"display_name":d.display_name,"lifecycle_state":d.lifecycle_state,
                 "shape_name":d.shape_name,"mysql_version":d.mysql_version,
                 "is_highly_available":d.is_highly_available} for d in dbs if d.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/alarms")
async def explore_alarms(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        mon = oci.monitoring.MonitoringClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        alarms = mon.list_alarms(comp).data
        return [{"id":a.id,"display_name":a.display_name,"lifecycle_state":a.lifecycle_state,
                 "severity":a.severity,"namespace":a.namespace,"is_enabled":a.is_enabled} for a in alarms if a.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/log_groups")
async def explore_log_groups(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        logging_client = oci.logging.LoggingManagementClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        lgs = logging_client.list_log_groups(comp).data
        return [{"id":g.id,"display_name":g.display_name,"time_created":str(g.time_created),
                 "description":g.description or ""} for g in lgs]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/iam_users")
async def explore_iam_users(cid: str, u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        identity = oci.identity.IdentityClient(config)
        cfg, _ = _explore_comp(cid)
        tenancy = _safe_dec(cfg["tenancy_ocid"])
        users = identity.list_users(tenancy).data
        return [{"id":u2.id,"name":u2.name,"email":u2.email or "","lifecycle_state":u2.lifecycle_state,
                 "is_mfa_activated":u2.is_mfa_activated,"time_created":str(u2.time_created),
                 "last_successful_login_time":str(u2.last_successful_login_time) if u2.last_successful_login_time else None} for u2 in users if u2.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/iam_groups")
async def explore_iam_groups(cid: str, u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        identity = oci.identity.IdentityClient(config)
        cfg, _ = _explore_comp(cid)
        tenancy = _safe_dec(cfg["tenancy_ocid"])
        groups = identity.list_groups(tenancy).data
        return [{"id":g.id,"name":g.name,"description":g.description or "","lifecycle_state":g.lifecycle_state,
                 "time_created":str(g.time_created)} for g in groups if g.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/iam_policies")
async def explore_iam_policies(cid: str, compartment_id: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        identity = oci.identity.IdentityClient(config)
        cfg, default_comp = _explore_comp(cid)
        comp = compartment_id or _safe_dec(cfg["tenancy_ocid"]) or default_comp
        policies = identity.list_policies(comp).data
        return [{"id":p.id,"name":p.name,"description":p.description or "","lifecycle_state":p.lifecycle_state,
                 "statements":p.statements,"time_created":str(p.time_created)} for p in policies if p.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/iam_dynamic_groups")
async def explore_iam_dynamic_groups(cid: str, u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        identity = oci.identity.IdentityClient(config)
        cfg, _ = _explore_comp(cid)
        tenancy = _safe_dec(cfg["tenancy_ocid"])
        dgs = identity.list_dynamic_groups(tenancy).data
        return [{"id":g.id,"name":g.name,"description":g.description or "","lifecycle_state":g.lifecycle_state,
                 "matching_rule":g.matching_rule,"time_created":str(g.time_created)} for g in dgs if g.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/vaults")
async def explore_vaults(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        kms = oci.key_management.KmsVaultClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        vaults = kms.list_vaults(comp).data
        return [{"id":v.id,"display_name":v.display_name,"lifecycle_state":v.lifecycle_state,
                 "vault_type":v.vault_type,"crypto_endpoint":v.crypto_endpoint,
                 "time_created":str(v.time_created)} for v in vaults if v.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/dns_zones")
async def explore_dns_zones(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        dns = oci.dns.DnsClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        zones = dns.list_zones(comp).data
        return [{"id":z.id,"name":z.name,"lifecycle_state":z.lifecycle_state,
                 "zone_type":z.zone_type,"serial":z.serial,
                 "time_created":str(z.time_created)} for z in zones if z.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/api_gateways")
async def explore_api_gateways(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        apigw = oci.apigateway.GatewayClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        gws = apigw.list_gateways(comp).data
        return [{"id":g.id,"display_name":g.display_name,"lifecycle_state":g.lifecycle_state,
                 "endpoint_type":g.endpoint_type,"hostname":g.hostname,
                 "subnet_id":g.subnet_id,"time_created":str(g.time_created)} for g in gws if g.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/notification_topics")
async def explore_notification_topics(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        ons = oci.ons.NotificationControlPlaneClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        topics = ons.list_topics(comp).data
        return [{"id":t.topic_id,"name":t.name,"lifecycle_state":t.lifecycle_state,
                 "description":t.description or "","api_endpoint":t.api_endpoint,
                 "time_created":str(t.time_created)} for t in topics if t.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/events_rules")
async def explore_events_rules(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        events = oci.events.EventsClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        rules = events.list_rules(comp).data
        return [{"id":r.id,"display_name":r.display_name,"lifecycle_state":r.lifecycle_state,
                 "condition":r.condition,"is_enabled":r.is_enabled,
                 "description":r.description or "","time_created":str(r.time_created)} for r in rules if r.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/network_firewalls")
async def explore_network_firewalls(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        fw = oci.network_firewall.NetworkFirewallClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        resp = fw.list_network_firewalls(compartment_id=comp).data
        firewalls = resp.items if hasattr(resp, 'items') else (resp if isinstance(resp, list) else [])
        return [{"id":f.id,"display_name":f.display_name,"lifecycle_state":f.lifecycle_state,
                 "subnet_id":f.subnet_id,"network_firewall_policy_id":f.network_firewall_policy_id,
                 "time_created":str(f.time_created)} for f in firewalls if f.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

@app.get("/api/oci/explore/{cid}/network_firewall_policies")
async def explore_network_firewall_policies(cid: str, compartment_id: str = Query(None), region: str = Query(None), u=Depends(current_user)):
    try:
        import oci
        config = _get_oci_config(cid)
        if region: config["region"] = region
        fw = oci.network_firewall.NetworkFirewallClient(config)
        _, default_comp = _explore_comp(cid)
        comp = compartment_id or default_comp
        resp = fw.list_network_firewall_policies(compartment_id=comp).data
        policies = resp.items if hasattr(resp, 'items') else (resp if isinstance(resp, list) else [])
        return [{"id":p.id,"display_name":p.display_name,"lifecycle_state":p.lifecycle_state,
                 "time_created":str(p.time_created)} for p in policies if p.lifecycle_state not in _DEAD_STATES]
    except Exception as e:
        return {"error": str(e)[:500]}

# ── OCI GenAI Config & Chat ───────────────────────────────────────────────────
@app.get("/api/genai/models")
async def list_genai_models(u=Depends(current_user)):
    return JSONResponse(
        content={"models": GENAI_MODELS, "regions": GENAI_REGIONS, "embedding_models": EMBEDDING_MODELS, "oci_regions": OCI_REGIONS},
        headers={"Cache-Control": "max-age=3600"},
    )

@app.post("/api/genai/config")
async def save_genai(req: GenAIConfigReq, u=Depends(require("admin","user"))):
    gid = str(uuid.uuid4())
    ep = req.endpoint or f"https://inference.generativeai.{req.genai_region}.oci.oraclecloud.com"
    with db() as c:
        if req.is_default:
            c.execute("UPDATE genai_configs SET is_default=0 WHERE user_id=?", (u["id"],))
        c.execute(
            """INSERT INTO genai_configs (id,user_id,name,oci_config_id,model_id,model_ocid,compartment_id,
               genai_region,endpoint,serving_type,dedicated_endpoint_id,temperature,max_tokens,top_p,top_k,
               frequency_penalty,presence_penalty,reasoning_effort,is_default) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)""",
            (gid, u["id"], req.name, req.oci_config_id, req.model_id, req.model_ocid,
             req.compartment_id, req.genai_region, ep, req.serving_type, req.dedicated_endpoint_id,
             req.temperature, req.max_tokens, req.top_p, req.top_k,
             req.frequency_penalty, req.presence_penalty, req.reasoning_effort, int(req.is_default)))
    _audit(u["id"], u["username"], "save_genai_config", gid, req.model_id)
    _config_log("genai", gid, req.name, "success", "save", f"Modelo salvo: {req.model_id} ({req.genai_region})", u["id"], u["username"])
    return {"id": gid, "model_id": req.model_id, "endpoint": ep}

@app.get("/api/genai/configs")
async def list_genai(u=Depends(current_user)):
    with db() as c:
        if u["role"]=="admin": rows=c.execute("SELECT * FROM genai_configs").fetchall()
        else: rows=c.execute("SELECT * FROM genai_configs WHERE user_id=?",(u["id"],)).fetchall()
    return [dict(r) for r in rows]

@app.delete("/api/genai/configs/{gid}")
async def del_genai(gid: str, u=Depends(require("admin","user"))):
    with db() as c: c.execute("DELETE FROM genai_configs WHERE id=?", (gid,))
    return {"ok": True}

@app.put("/api/genai/configs/{gid}")
async def update_genai(gid: str, req: GenAIConfigReq, u=Depends(require("admin","user"))):
    with db() as c:
        existing = c.execute("SELECT * FROM genai_configs WHERE id=?", (gid,)).fetchone()
    if not existing: raise HTTPException(404)
    if u["role"] != "admin" and existing["user_id"] != u["id"]: raise HTTPException(403)
    ep = req.endpoint or f"https://inference.generativeai.{req.genai_region}.oci.oraclecloud.com"
    with db() as c:
        if req.is_default:
            c.execute("UPDATE genai_configs SET is_default=0 WHERE user_id=?", (u["id"],))
        c.execute(
            """UPDATE genai_configs SET name=?,oci_config_id=?,model_id=?,model_ocid=?,compartment_id=?,
               genai_region=?,endpoint=?,serving_type=?,dedicated_endpoint_id=?,temperature=?,max_tokens=?,
               top_p=?,top_k=?,frequency_penalty=?,presence_penalty=?,reasoning_effort=?,is_default=? WHERE id=?""",
            (req.name, req.oci_config_id, req.model_id, req.model_ocid,
             req.compartment_id, req.genai_region, ep, req.serving_type, req.dedicated_endpoint_id,
             req.temperature, req.max_tokens, req.top_p, req.top_k,
             req.frequency_penalty, req.presence_penalty, req.reasoning_effort, int(req.is_default), gid))
    _audit(u["id"], u["username"], "update_genai_config", gid, req.model_id)
    _config_log("genai", gid, req.name, "success", "save", f"Modelo atualizado: {req.model_id} ({req.genai_region})", u["id"], u["username"])
    return {"id": gid, "model_id": req.model_id, "endpoint": ep}

@app.post("/api/genai/test/{gid}")
async def test_genai(gid: str, u=Depends(require("admin","user"))):
    with db() as c:
        gc = c.execute("SELECT * FROM genai_configs WHERE id=?",(gid,)).fetchone()
    if not gc: raise HTTPException(404)
    gname = gc["name"]
    try:
        resp, _, _ = _call_genai(dict(gc), "Say 'connection successful' in one short sentence.")
        _config_log("genai", gid, gname, "success", "test", f"GenAI OK: {resp[:200]}", u["id"], u["username"])
        return {"status":"success","message":"GenAI OK","response":resp[:300]}
    except Exception as e:
        msg = str(e)[:500]
        _config_log("genai", gid, gname, "error", "test", msg, u["id"], u["username"])
        return {"status":"error","message":msg}

# ── Chat Memory Compaction ─────────────────────────────────────────────────────

def _estimate_tokens(text: str) -> int:
    return len(text) // 4

def _estimate_history_tokens(history: list) -> int:
    return sum(_estimate_tokens(h["content"]) for h in history)

def _should_compact(history: list) -> bool:
    if len(history) < COMPACT_MIN_MESSAGES:
        return False
    return _estimate_history_tokens(history) > COMPACT_TOKEN_THRESHOLD

def _generate_summary(genai_cfg: dict, messages_to_summarize: list) -> str:
    """Use the same GenAI model to summarize older conversation messages."""
    conversation_text = ""
    for m in messages_to_summarize:
        role_label = "Usuário" if m["role"] == "user" else "Assistente"
        # Truncate very long messages in the summary input
        content = m["content"][:3000] if len(m["content"]) > 3000 else m["content"]
        conversation_text += f"{role_label}: {content}\n\n"

    summary_prompt = (
        "Resuma a conversa abaixo de forma compacta (máximo 2-3 parágrafos curtos) que capture:\n"
        "- Tópicos discutidos e perguntas do usuário\n"
        "- Decisões tomadas, conclusões e resultados importantes\n"
        "- Resultados de ferramentas/tools executadas (checks PASS/FAIL, scores, recursos encontrados)\n"
        "- Contexto OCI/CIS relevante (compartments, regiões, config_ids usados)\n"
        "- Dados numéricos importantes (scores, contagens, OCIDs mencionados)\n\n"
        "Seja conciso mas preserve TODA informação acionável e dados concretos. "
        "Não inclua saudações ou formalidades.\n\n"
        "CONVERSA:\n" + conversation_text
    )

    summary_cfg = dict(genai_cfg)
    summary_cfg["system_prompt"] = "Você é um sumarizador. Responda apenas com o resumo."
    summary_cfg["max_tokens"] = COMPACT_SUMMARY_MAX_TOKENS

    try:
        text, _, _ = _call_genai(summary_cfg, summary_prompt, history=None, tools=None)
        return text.strip()
    except Exception as e:
        log.warning(f"Summary generation failed: {e}")
        return ""

def _compact_history(session_id: str, user_id: str, genai_cfg: dict, history: list) -> list:
    """Compact conversation history by summarizing older messages."""
    if len(history) <= COMPACT_KEEP_RECENT:
        return history

    messages_to_summarize = history[:-COMPACT_KEEP_RECENT]
    recent_messages = history[-COMPACT_KEEP_RECENT:]

    # Check for existing summary
    with db() as c:
        row = c.execute(
            "SELECT summary, messages_compacted FROM chat_summaries "
            "WHERE session_id=? ORDER BY created_at DESC LIMIT 1",
            (session_id,)
        ).fetchone()
        if row:
            existing_summary = row["summary"]
            prev_compacted = row["messages_compacted"]
            # Reuse if no new messages to summarize
            if len(messages_to_summarize) <= prev_compacted:
                return [{"role": "assistant", "content": f"[Resumo da conversa anterior: {existing_summary}]"}] + recent_messages
        else:
            existing_summary = None

    # Include existing summary as prefix for incremental compaction
    if existing_summary:
        messages_to_summarize = [{"role": "assistant", "content": f"[Resumo anterior: {existing_summary}]"}] + messages_to_summarize

    summary_text = _generate_summary(genai_cfg, messages_to_summarize)

    if not summary_text:
        # Fallback: truncate keeping recent messages that fit in budget
        truncated = []
        budget = 6000
        for m in reversed(history):
            t = _estimate_tokens(m["content"])
            if budget - t < 0:
                break
            truncated.insert(0, m)
            budget -= t
        return truncated

    # Save summary to DB
    actual_count = len(messages_to_summarize) - (1 if existing_summary else 0)
    with db() as c:
        last_msg = c.execute(
            "SELECT id FROM chat_messages WHERE session_id=? AND role IN ('user','assistant') "
            "ORDER BY created_at ASC LIMIT 1 OFFSET ?",
            (session_id, max(0, actual_count - 1))
        ).fetchone()
        last_id = last_msg["id"] if last_msg else "unknown"
        c.execute(
            "INSERT INTO chat_summaries (id,session_id,user_id,summary,messages_compacted,up_to_message_id) VALUES (?,?,?,?,?,?)",
            (str(uuid.uuid4()), session_id, user_id, summary_text, actual_count, last_id)
        )

    log.info(f"Generated summary for session {session_id}: {len(summary_text)} chars, {actual_count} msgs compacted")
    return [{"role": "assistant", "content": f"[Resumo da conversa anterior: {summary_text}]"}] + recent_messages

# ── GenAI Call ─────────────────────────────────────────────────────────────────

def _call_genai(gc: dict, message: str, history: list = None, tools: list = None,
                tool_results_cohere: list = None,
                extra_messages: list = None,
                attachments: list = None) -> tuple:
    """
    Call OCI Generative AI with optional tool use support.
    Returns (text, tool_calls, tool_calls_raw) tuple.
    tool_calls is a list of dicts or None. tool_calls_raw is the raw OCI SDK objects (for Generic format continuations).
    extra_messages: list of raw OCI SDK message objects to append after the user message (for tool use loop accumulation).
    """
    import oci

    # Load OCI config from stored credentials (same as ~/.oci/config)
    config_path = str(OCI_DIR / gc["oci_config_id"] / "config")
    config = oci.config.from_file(config_path, "DEFAULT")

    # Service endpoint - built from region
    endpoint = gc["endpoint"]

    # Create inference client with retry strategy and timeout
    generative_ai_inference_client = oci.generative_ai_inference.GenerativeAiInferenceClient(
        config=config,
        service_endpoint=endpoint,
        retry_strategy=oci.retry.NoneRetryStrategy(),
        timeout=(10, 600)
    )

    # System prompt
    system_prompt = gc.get("system_prompt", "")

    # Build ChatDetails
    chat_detail = oci.generative_ai_inference.models.ChatDetails()

    # Determine API format from model catalog
    model_info = GENAI_MODELS.get(gc["model_id"], {})
    api_format = model_info.get("api_format", "GENERIC")

    if api_format == "COHERE":
        # ── Cohere models (CohereChatRequest) ──
        chat_request = oci.generative_ai_inference.models.CohereChatRequest()
        chat_request.api_format = oci.generative_ai_inference.models.BaseChatRequest.API_FORMAT_COHERE
        if system_prompt:
            chat_request.preamble_override = system_prompt
        chat_request.message = message
        cohere_max = model_info.get("max_tokens", 4096)
        chat_request.max_tokens = min(int(gc.get("max_tokens", 4096)), cohere_max)
        chat_request.temperature = float(gc.get("temperature", 1))
        chat_request.frequency_penalty = float(gc.get("frequency_penalty", 0))
        chat_request.presence_penalty = float(gc.get("presence_penalty", 0))
        chat_request.top_p = float(gc.get("top_p", 0.95))
        chat_request.top_k = int(gc.get("top_k", 1))
        if history:
            chat_history = []
            for h in history:
                entry = oci.generative_ai_inference.models.CohereMessage()
                entry.role = "USER" if h["role"] == "user" else "CHATBOT"
                entry.message = h["content"]
                chat_history.append(entry)
            chat_request.chat_history = chat_history
        # Tool use support for Cohere
        if tools:
            cohere_tools = []
            for t in tools:
                props = t.get("input_schema", {}).get("properties", {})
                required = t.get("input_schema", {}).get("required", [])
                param_defs = {}
                for k, v in props.items():
                    pd = oci.generative_ai_inference.models.CohereParameterDefinition()
                    pd.type = v.get("type", "str")
                    pd.description = v.get("description", "")
                    pd.is_required = k in required
                    param_defs[k] = pd
                ct = oci.generative_ai_inference.models.CohereTool()
                ct.name = t["name"]
                ct.description = t.get("description", "")
                ct.parameter_definitions = param_defs if param_defs else None
                cohere_tools.append(ct)
            chat_request.tools = cohere_tools
        if tool_results_cohere:
            chat_request.tool_results = tool_results_cohere
    else:
        # ── Generic format (Meta Llama, Google, xAI, OpenAI) ──
        chat_request = oci.generative_ai_inference.models.GenericChatRequest()
        chat_request.api_format = oci.generative_ai_inference.models.BaseChatRequest.API_FORMAT_GENERIC
        provider = model_info.get("provider", "")
        is_openai = provider == "openai"
        is_reasoning = model_info.get("reasoning", False)
        # Clamp max_tokens to model limit
        model_max = model_info.get("max_tokens", 16384)
        requested_tokens = int(gc.get("max_tokens", 6000))
        clamped_tokens = min(requested_tokens, model_max)

        # ── Parameter matrix per provider ──
        # OpenAI reasoning (o3, o4-mini): max_completion_tokens + reasoning_effort only
        if is_reasoning:
            chat_request.max_completion_tokens = clamped_tokens
            re = gc.get("reasoning_effort")
            if re and hasattr(chat_request, "reasoning_effort"):
                chat_request.reasoning_effort = re.upper() if isinstance(re, str) else re
            # Explicitly unset unsupported params
            chat_request.temperature = None
            chat_request.top_p = None
            chat_request.frequency_penalty = None
            chat_request.presence_penalty = None
        # OpenAI standard (GPT-4.1, GPT-5.x, GPT-4o): max_completion_tokens, temperature, top_p
        # freq/pres penalty only for models with "penalties":True (GPT-4.1, GPT-4.1-mini, GPT-4o)
        elif is_openai:
            chat_request.max_completion_tokens = clamped_tokens
            chat_request.temperature = float(gc.get("temperature", 1))
            chat_request.top_p = float(gc.get("top_p", 0.95))
            if model_info.get("penalties"):
                chat_request.frequency_penalty = float(gc.get("frequency_penalty", 0))
                chat_request.presence_penalty = float(gc.get("presence_penalty", 0))
            else:
                chat_request.frequency_penalty = None
                chat_request.presence_penalty = None
        # xAI Grok: max_tokens, temperature, top_p (no top_k, no freq/pres penalty)
        elif provider == "xai":
            chat_request.max_tokens = clamped_tokens
            chat_request.temperature = float(gc.get("temperature", 1))
            chat_request.top_p = float(gc.get("top_p", 0.95))
            # Explicitly unset unsupported params to prevent SDK serialization
            chat_request.frequency_penalty = None
            chat_request.presence_penalty = None
        # Meta Llama: max_tokens, temperature, top_p, top_k (no freq/pres penalty)
        # Google Gemini: max_tokens, temperature, top_p, top_k (no freq/pres penalty)
        else:
            chat_request.max_tokens = clamped_tokens
            chat_request.temperature = float(gc.get("temperature", 1))
            chat_request.top_p = float(gc.get("top_p", 0.95))
            chat_request.top_k = int(gc.get("top_k", 1))
            # Explicitly unset unsupported params to prevent SDK serialization
            chat_request.frequency_penalty = None
            chat_request.presence_penalty = None

        # Log applied parameters
        params_log = f"provider={provider}, reasoning={is_reasoning}"
        params_log += f", max_tokens={getattr(chat_request, 'max_completion_tokens', None) or getattr(chat_request, 'max_tokens', None)}"
        params_log += f", temp={getattr(chat_request, 'temperature', None)}, top_p={getattr(chat_request, 'top_p', None)}"
        params_log += f", top_k={getattr(chat_request, 'top_k', None)}"
        params_log += f", freq_pen={getattr(chat_request, 'frequency_penalty', None)}, pres_pen={getattr(chat_request, 'presence_penalty', None)}"
        if is_reasoning:
            params_log += f", reasoning_effort={getattr(chat_request, 'reasoning_effort', None)}"
        log.info(f"GenAI params: {params_log}")

        messages = []
        if system_prompt:
            sys_content = oci.generative_ai_inference.models.TextContent()
            sys_content.text = system_prompt
            sys_msg = oci.generative_ai_inference.models.Message()
            sys_msg.role = "SYSTEM"
            sys_msg.content = [sys_content]
            messages.append(sys_msg)
        if history:
            for h in history:
                content = oci.generative_ai_inference.models.TextContent()
                content.text = h["content"]
                msg = oci.generative_ai_inference.models.Message()
                msg.role = "USER" if h["role"] == "user" else "ASSISTANT"
                msg.content = [content]
                messages.append(msg)

        # Current user message (with optional multimodal attachments)
        content_parts = []
        if attachments:
            for att in attachments:
                if att["type"] == "image":
                    img_url = oci.generative_ai_inference.models.ImageUrl()
                    img_url.url = att["data_uri"]
                    img_url.detail = "AUTO"
                    img_content = oci.generative_ai_inference.models.ImageContent()
                    img_content.image_url = img_url
                    content_parts.append(img_content)
                elif att["type"] == "document":
                    doc_url = oci.generative_ai_inference.models.DocumentUrl()
                    doc_url.url = att["data_uri"]
                    doc_content = oci.generative_ai_inference.models.DocumentContent()
                    doc_content.document_url = doc_url
                    content_parts.append(doc_content)
        text_content = oci.generative_ai_inference.models.TextContent()
        text_content.text = message
        content_parts.append(text_content)
        user_message = oci.generative_ai_inference.models.Message()
        user_message.role = "USER"
        user_message.content = content_parts
        messages.append(user_message)

        # Append accumulated tool use loop messages (assistant+tool_calls → tool_results → ...)
        if extra_messages:
            messages.extend(extra_messages)

        chat_request.messages = messages

        # Tool definitions for Generic format
        if tools:
            generic_tools = []
            for t in tools:
                fd = oci.generative_ai_inference.models.FunctionDefinition()
                fd.name = t["name"]
                fd.description = t.get("description", "")
                fd.parameters = t.get("input_schema")
                generic_tools.append(fd)
            chat_request.tools = generic_tools

    # Serving mode - resolve OCID: explicit model_ocid > catalog ocid for region > short model_id
    model_ref = gc.get("model_ocid") or ""
    if not model_ref:
        region = gc.get("genai_region", "")
        ocids = model_info.get("ocids", {})
        model_ref = ocids.get(region) or gc["model_id"]
    log.info(f"GenAI call: model_id={gc.get('model_id')}, model_ref={model_ref[:60]}...")
    if gc.get("serving_type") == "DEDICATED" and gc.get("dedicated_endpoint_id"):
        chat_detail.serving_mode = oci.generative_ai_inference.models.DedicatedServingMode(
            endpoint_id=gc["dedicated_endpoint_id"]
        )
    else:
        chat_detail.serving_mode = oci.generative_ai_inference.models.OnDemandServingMode(
            model_id=model_ref
        )

    chat_detail.chat_request = chat_request
    chat_detail.compartment_id = gc["compartment_id"]

    # Execute
    chat_response = generative_ai_inference_client.chat(chat_detail)

    # Extract text and tool_calls from response
    resp = chat_response.data.chat_response
    if api_format == "COHERE":
        text = resp.text if hasattr(resp, 'text') else ""
        tool_calls = None
        if hasattr(resp, 'tool_calls') and resp.tool_calls:
            tool_calls = []
            for tc in resp.tool_calls:
                tool_calls.append({
                    "id": tc.name,  # Cohere uses name as identifier
                    "name": tc.name,
                    "arguments": tc.parameters if isinstance(tc.parameters, dict) else {}
                })
        return (text or "", tool_calls, None)
    else:
        text = ""
        tool_calls = None
        tool_calls_raw = None  # raw content list from assistant message for continuation
        if hasattr(resp, 'choices') and resp.choices:
            choice = resp.choices[0]
            if hasattr(choice, 'message') and choice.message:
                # Check for tool calls
                if hasattr(choice.message, 'tool_calls') and choice.message.tool_calls:
                    tool_calls = []
                    for tc in choice.message.tool_calls:
                        args = {}
                        if hasattr(tc, 'arguments') and tc.arguments:
                            try: args = json.loads(tc.arguments) if isinstance(tc.arguments, str) else tc.arguments
                            except Exception as e: log.warning(f"Failed to parse tool call arguments: {e}"); args = {}
                        tool_calls.append({
                            "id": tc.id if hasattr(tc, 'id') else tc.name,
                            "name": tc.name if hasattr(tc, 'name') else "",
                            "arguments": args
                        })
                    # Preserve raw tool_calls for building assistant message in next iteration
                    tool_calls_raw = choice.message.tool_calls
                # Extract text from content
                if hasattr(choice.message, 'content') and choice.message.content:
                    contents = choice.message.content
                    if isinstance(contents, str):
                        text = contents
                    elif isinstance(contents, list):
                        text_parts = []
                        for c in contents:
                            if isinstance(c, str):
                                text_parts.append(c)
                            elif hasattr(c, 'text') and c.text:
                                text_parts.append(c.text)
                            elif isinstance(c, dict) and c.get('text'):
                                text_parts.append(c['text'])
                        text = "\n".join(text_parts)
                    else:
                        text = str(contents)
        # Fallback: check reasoning_content (some models like GPT-5.2 use this)
        if not text and hasattr(resp, 'choices') and resp.choices:
            choice = resp.choices[0]
            if hasattr(choice, 'message') and choice.message:
                msg_obj = choice.message
                if hasattr(msg_obj, 'reasoning_content') and msg_obj.reasoning_content:
                    rc = msg_obj.reasoning_content
                    if isinstance(rc, str):
                        text = rc
                    elif isinstance(rc, list):
                        text_parts = []
                        for c in rc:
                            if isinstance(c, str):
                                text_parts.append(c)
                            elif hasattr(c, 'text') and c.text:
                                text_parts.append(c.text)
                            elif isinstance(c, dict) and c.get('text'):
                                text_parts.append(c['text'])
                        text = "\n".join(text_parts)
                    else:
                        text = str(rc)
                    if text:
                        log.info(f"GenAI: extracted text from reasoning_content ({len(text)} chars)")
            # Last resort: try choice.text
            if not text:
                if hasattr(choice, 'text') and choice.text:
                    text = choice.text
        if not text and not tool_calls:
            raw_content = getattr(getattr(resp.choices[0], 'message', None), 'content', None) if hasattr(resp, 'choices') and resp.choices else None
            # Also dump message attrs for debugging
            msg_attrs = []
            if hasattr(resp, 'choices') and resp.choices and hasattr(resp.choices[0], 'message') and resp.choices[0].message:
                msg_attrs = [a for a in dir(resp.choices[0].message) if not a.startswith('_')]
            reasoning = getattr(resp.choices[0].message, 'reasoning_content', None) if hasattr(resp, 'choices') and resp.choices and hasattr(resp.choices[0], 'message') else None
            refusal = getattr(resp.choices[0].message, 'refusal', None) if hasattr(resp, 'choices') and resp.choices and hasattr(resp.choices[0], 'message') else None
            finish_reason = getattr(resp.choices[0], 'finish_reason', None) if hasattr(resp, 'choices') and resp.choices else None
            choice_attrs = [a for a in dir(resp.choices[0]) if not a.startswith('_')] if hasattr(resp, 'choices') and resp.choices else []
            log.warning(f"GenAI returned empty response. model={gc.get('model_id')}, finish_reason={finish_reason}, content_repr: {repr(raw_content)[:500]}, reasoning: {repr(reasoning)[:500] if reasoning else None}, refusal: {repr(refusal)[:200] if refusal else None}, choice_attrs: {choice_attrs}")
        return (text or "", tool_calls, tool_calls_raw)

# ── RAG Helpers ───────────────────────────────────────────────────────────────
RAG_CONTEXT_TEMPLATE = """--- CONTEXTO RECUPERADO (Vector Search) ---
{context}
--- FIM DO CONTEXTO ---

Pergunta do usuário: {question}"""

RAG_DEFAULT_SYSTEM_PROMPT = """Você é um assistente RAG especializado em Oracle Cloud Infrastructure (OCI).

### Escopo e restrições
- Responda **SOMENTE** perguntas relacionadas a Oracle Cloud (OCI), CIS Benchmark, CIS Report e itens de inventário OCI (IAM/AssetManagement/Networking/StorageBlock/FileStorageService/Objectstore/Compute/LoggingandMonitoring).
- Se a pergunta não for desse escopo, recuse educadamente e peça uma pergunta dentro do tema.

### Bases vetorizadas disponíveis (contexto recuperado automaticamente)
- **CIS_REPORT**: report coletado na tenancy (compliance, findings, critérios/auditoria, evidências).
- **CIS_RECOMMENDATIONS**: recomendações práticas de correção/remediação para itens não compliant.
- **Inventários OCI** (itens não compliance): inventidentityandaccess, inventassetmanagement, inventnetworking, inventstorageblock, inventfilestorageservice, inventobjectstorage, inventcomputeinstances, inventloggingandmonitoring.

### Resolução de divergências
- Para **critérios, exigência e auditoria**, priorize documentos do **CIS_REPORT**.
- Para **passos de remediação (como corrigir)**, priorize documentos do **CIS_RECOMMENDATIONS**.
- Se houver conflito, declare: "Há divergência entre bases; para auditoria usei CIS_REPORT e para correção usei CIS_RECOMMENDATIONS", citando evidências.

### Regras de fidelidade
- Responda **somente** com informações suportadas por evidências do contexto recuperado.
- Se não houver evidência suficiente: **"Não encontrei nas minhas bases"** e peça dados para refinar (Recommendation #, seção, recurso, OCID, etc.).
- **Não invente** páginas, comandos, políticas, valores ou números.
- Use somente **1–3 linhas** de evidência por item para manter respostas compactas.

### Formato de resposta (compacto, porém completo)
- **Tenancy:** <tenancy>
- **Recomendação <número> — <título>**
  - **Seção/Capítulo:** …
  - **Nível/Tipo:** Manual/Automated (se disponível)
  - **O que isso exige (CIS):** …
  - **Como auditar (critério):** …
  - **Como corrigir (remediação):** (somente se solicitado ou relevante)
    - Passos (Console/OCI CLI **apenas se estiverem nas evidências**)
    - Observações/alertas
  - **Evidência (citação curta):** "…"
  - **Fontes consultadas:**
    - CIS_REPORT: <metadata essenciais>
    - CIS_RECOMMENDATIONS: <metadata essenciais> (se usado)"""

CONSULT_SYSTEM_PROMPT = """Você é um consultor de dados vetorizados. Sua função é responder perguntas com base nos documentos recuperados do banco vetorial.

### Regras
- Responda **somente** com informações presentes nos documentos fornecidos.
- Se não encontrar informação relevante, diga claramente.
- Seja direto e objetivo. Apresente os dados de forma organizada.
- Use markdown para formatação (negrito, listas, tabelas quando apropriado).
- Cite de qual tabela/fonte veio cada informação.
- Não invente dados que não estejam nos documentos."""

TF_DEFAULT_SYSTEM_PROMPT = """Você gera somente Terraform HCL para Oracle Cloud Infrastructure (OCI) usando o provider oracle/oci.
Se pedirem AWS, Azure, GCP ou outro provider, recuse educadamente.

### Regras
- Gere código production-ready, com variáveis, defaults sensatos, tags e outputs úteis. Evite ficar solicitando ao usuário para ficar interagindo a todo momento, entregue o que ele precisa e faça o mínimo de interações para entender o que o usuário precisa. Explique de forma clara o que foi gerado e o que foi arrumado para que fosse possível gerar o código do terraform.
- Use sempre a sintaxe mais recente do provider OCI.
- Não inclua `terraform { required_providers }` nem `provider "oci"` principal.
- Em multi-região, use provider aliases para regiões adicionais e `provider = oci.alias` nos recursos.
- Para novas gerações, gere sempre múltiplos arquivos: no mínimo `variables.tf`, 1 arquivo de recursos e `outputs.tf`.
- Cada bloco deve começar com `// filename: nome.tf`.
- Nunca declare o mesmo recurso (tipo + nome) em mais de um arquivo.
- Use `var.compartment_id` nos recursos e declare sempre `variable "region"` em `variables.tf`.
- Se houver "RECURSOS OCI EXISTENTES NO COMPARTMENT", reutilize recursos com data sources sempre que possível.
- Se houver "ARQUIVOS TERRAFORM ATUAIS NO WORKSPACE", gere **SOMENTE os arquivos que precisam de correção**. Arquivos sem erro NÃO devem ser regenerados. Mantenha os mesmos nomes de arquivo. Se o erro está em `networking.tf`, gere APENAS `// filename: networking.tf` com o conteúdo corrigido. NUNCA regenere `variables.tf`, `outputs.tf` ou outros arquivos que não têm erro, a menos que o erro exija alteração neles (ex: variável faltando).
- Sempre responda com blocos `hcl`, depois **Resource Plan** (`+` criar, `~` reutilizar), uma breve explicação e uma seção `✅ Validação`.
- Valide: referências cruzadas, CIDRs, route tables, security lists, dependências, segurança e variáveis.
- Use apenas resource types válidos do OCI. Exemplos corretos:
  - `oci_network_firewall_network_firewall`
  - `oci_network_firewall_network_firewall_policy`
  - `oci_core_drg_attachment`
  - `oci_core_drg_attachment_management`
  - `oci_core_drg_route_table`
  - `oci_core_drg_route_distribution`
  - `oci_core_drg_route_distribution_statement`
  - `oci_core_drg_route_table_route_rule`
  - `oci_core_remote_peering_connection`
- Nunca invente recursos inexistentes.
- Use sempre HCL multi-line, nunca blocos inline com múltiplos argumentos.

### Correção de erros (IMPORTANTE)
- Quando o usuário envia um erro de plan/apply com arquivos existentes, gere SOMENTE o(s) arquivo(s) que corrigem o erro.
- Exemplo: se o erro é em `service_gateways.tf`, retorne APENAS `// filename: service_gateways.tf` com o conteúdo corrigido.
- Se a correção exige criar/alterar uma variável, inclua também `// filename: variables.tf` apenas com as variáveis novas/alteradas + todas existentes.
- NUNCA regenere todos os arquivos do zero. Isso descarta o trabalho anterior e cria loops infinitos de correção.
- Preserve os nomes de arquivo exatos. Não renomeie `drg_attachments_and_routes.tf` para `drg.tf`.

### Regras críticas
- `oci_core_drg_route_distribution_statement` deve usar `match_criteria`.
- Remote peering: APENAS UM LADO do par define `peer_id` e `peer_region_name`. O outro lado é criado SEM `peer_id`. Nunca gere dois RPCs apontando um para o outro (causa Cycle error). Exemplo: RPC_mad1 (sem peer_id) e RPC_mad3 (com peer_id = RPC_mad1.id, peer_region_name = var.region).
- Associação de route table com subnet deve ser via `route_table_id` na subnet ou `oci_core_route_table_attachment`.
- `oci_network_firewall_network_firewall` exige `network_firewall_policy_id`.
- DRG attachments: use `oci_core_drg_attachment` para VCN attachments (tipo padrão). Use `oci_core_drg_attachment_management` SOMENTE para REMOTE_PEERING_CONNECTION (único tipo suportado para management). Nunca duplique resource type+name entre arquivos (ex: dois `oci_core_drg_attachment.vcn_app_x`). Sempre associe `drg_route_table_id` nos VCN attachments para garantir roteamento correto.

### Proibições absolutas — módulos e variáveis
- NUNCA use `module` blocks. Este workspace é flat (um único diretório). Não existem subdiretórios `modules/`. Toda a infraestrutura deve ser definida diretamente com `resource` e `data` blocks.
- NUNCA declare a mesma `variable` em mais de um arquivo. Todas as variáveis devem estar em `variables.tf` e SOMENTE lá. Os outros arquivos (.tf) apenas referenciam `var.nome`.
- Antes de gerar, verifique se uma variável já foi declarada. Se já existe em `variables.tf`, NÃO redeclare.
"""

# ── Terraform OCI Resource Reference (generated at build time, updatable at runtime) ──
_TF_RESOURCE_REF_PATH = "/data/oci_tf_resource_reference.txt"
_tf_resource_ref_cache: dict = {"content": None, "mtime": 0}


def _populate_tf_valid_types():
    """Parse the OCI TF resource reference file and populate tf_valid_types table in SQLite."""
    p = Path(_TF_RESOURCE_REF_PATH)
    if not p.exists():
        return 0
    content = p.read_text()
    import re as _re
    entries = []
    current_category = ""
    for line in content.split('\n'):
        if line.startswith('## '):
            current_category = line[3:].strip()
            continue
        # Resource lines: - **oci_xxx**  required: ...  blocks: ...
        m = _re.match(r'^- \*\*(\w+)\*\*\s*(.*)', line)
        if m:
            name = m.group(1)
            rest = m.group(2).strip()
            required = ""
            blocks = ""
            # Split by "blocks:" to separate required from blocks
            blk_parts = rest.split('blocks:')
            if blk_parts[0].strip().startswith('required:'):
                required = blk_parts[0].replace('required:', '').strip()
            if len(blk_parts) > 1:
                blocks = blk_parts[1].strip()
            entries.append((name, 'resource', current_category, required, blocks))
            continue
        # Data source lines (in "All Resource Types" or "All Data Sources" section): - oci_xxx
        m2 = _re.match(r'^- (\w+)\s*$', line)
        if m2:
            name = m2.group(1)
            if current_category.startswith('All Data'):
                entries.append((name, 'data', '', '', ''))
            elif current_category.startswith('All Resource'):
                entries.append((name, 'resource', '', '', ''))
    if not entries:
        return 0
    with db() as c:
        c.execute("DELETE FROM tf_valid_types")
        # Insert detailed entries first (with required_args), then bulk lists with IGNORE to not overwrite
        detailed = [e for e in entries if e[3] or e[4]]  # has required_args or blocks
        bulk = [e for e in entries if not e[3] and not e[4]]
        if detailed:
            c.executemany(
                "INSERT OR REPLACE INTO tf_valid_types (name, kind, category, required_args, blocks) VALUES (?,?,?,?,?)",
                detailed)
        if bulk:
            c.executemany(
                "INSERT OR IGNORE INTO tf_valid_types (name, kind, category, required_args, blocks) VALUES (?,?,?,?,?)",
                bulk)
    log.info(f"Populated tf_valid_types: {len(entries)} entries")
    return len(entries)


def _validate_tf_resource_types(tf_code: str) -> list:
    """Validate resource/data types in generated TF code against the tf_valid_types table.
    Returns list of dicts with invalid types and suggestions."""
    import re as _re
    from difflib import get_close_matches
    # Extract only resource type declarations (data sources are read-only and may not be in the schema)
    used_types = set()
    for m in _re.finditer(r'resource\s+"(\w+)"', tf_code):
        used_types.add(m.group(1))
    if not used_types:
        return []
    # Load valid types from DB
    with db() as c:
        rows = c.execute("SELECT name, kind, required_args FROM tf_valid_types").fetchall()
    valid_names = {r["name"] for r in rows}
    valid_required = {r["name"]: r["required_args"] for r in rows}
    if not valid_names:
        return []  # No reference loaded
    # Check each used type
    errors = []
    for t in sorted(used_types):
        if t not in valid_names:
            # Find closest matches
            suggestions = get_close_matches(t, valid_names, n=3, cutoff=0.6)
            errors.append({
                "type": t,
                "suggestions": suggestions,
                "message": f"Resource type '{t}' NÃO EXISTE no provider oracle/oci."
            })
    return errors

def _load_tf_resource_reference() -> str:
    """Load the OCI Terraform resource reference file, cached by mtime."""
    try:
        p = Path(_TF_RESOURCE_REF_PATH)
        if not p.exists():
            return ""
        mtime = p.stat().st_mtime
        if _tf_resource_ref_cache["content"] and _tf_resource_ref_cache["mtime"] == mtime:
            return _tf_resource_ref_cache["content"]
        content = p.read_text()
        _tf_resource_ref_cache["content"] = content
        _tf_resource_ref_cache["mtime"] = mtime
        log.info(f"Loaded TF resource reference: {len(content)} chars, {content.count(chr(10))} lines")
        return content
    except Exception as e:
        log.warning(f"Failed to load TF resource reference: {e}")
        return ""

def _regenerate_tf_reference() -> dict:
    """Regenerate the OCI Terraform resource reference file."""
    try:
        result = subprocess.run(
            ["python", "/app/gen_tf_reference.py"],
            capture_output=True, text=True, timeout=300
        )
        _tf_resource_ref_cache["content"] = None  # invalidate cache
        if result.returncode == 0:
            ref = _load_tf_resource_reference()
            return {"ok": True, "output": result.stdout.strip(), "lines": ref.count('\n')}
        return {"ok": False, "error": result.stderr.strip()}
    except Exception as e:
        return {"ok": False, "error": str(e)}

# ── Terraform Resource Docs (on-demand from GitHub, cached in SQLite) ──
_TF_DOC_BASE_URL = "https://raw.githubusercontent.com/oracle/terraform-provider-oci/master/website/docs/r/"


def _fetch_tf_resource_doc(slug: str) -> dict | None:
    """Fetch a single resource doc from GitHub, parse Example Usage + Argument Reference, cache in SQLite."""
    import re as _re
    # Check cache first
    with db() as c:
        row = c.execute("SELECT example_usage, argument_ref FROM tf_resource_docs WHERE slug=?", (slug,)).fetchone()
    if row and (row["example_usage"] or row["argument_ref"]):
        return {"slug": slug, "example": row["example_usage"], "args": row["argument_ref"]}
    # Fetch from GitHub
    try:
        import urllib.request
        url = f"{_TF_DOC_BASE_URL}{slug}.html.markdown"
        req = urllib.request.Request(url, headers={"User-Agent": "oci-cis-agent/2.1"})
        with urllib.request.urlopen(req, timeout=15) as resp:
            if resp.status != 200:
                return None
            md = resp.read().decode("utf-8")
        # Extract Example Usage section
        example = ""
        m = _re.search(r'## Example Usage\s*\n(.*?)(?=\n## )', md, _re.DOTALL)
        if m:
            example = m.group(1).strip()
        # Extract Argument Reference section
        args = ""
        m2 = _re.search(r'## Argument Reference\s*\n(.*?)(?=\n## )', md, _re.DOTALL)
        if m2:
            args = m2.group(1).strip()
        # Cache in SQLite
        subcategory = ""
        m3 = _re.search(r'subcategory:\s*"([^"]+)"', md)
        if m3:
            subcategory = m3.group(1)
        with db() as c:
            c.execute(
                "INSERT OR REPLACE INTO tf_resource_docs (slug, subcategory, example_usage, argument_ref) VALUES (?,?,?,?)",
                (slug, subcategory, example, args))
        log.info(f"Fetched TF doc: {slug} (example={len(example)} chars, args={len(args)} chars)")
        return {"slug": slug, "example": example, "args": args}
    except Exception as e:
        log.warning(f"Failed to fetch TF doc for {slug}: {e}")
        return None


def _get_tf_docs_for_resources(resource_types: list[str]) -> str:
    """Given a list of oci_xxx resource types, fetch their docs and build a context string."""
    docs_parts = []
    for rtype in resource_types[:10]:  # limit to 10 to keep context manageable
        # Convert oci_core_vcn -> core_vcn
        slug = rtype.replace("oci_", "", 1) if rtype.startswith("oci_") else rtype
        doc = _fetch_tf_resource_doc(slug)
        if doc and (doc["example"] or doc["args"]):
            part = f"#### {rtype}\n"
            if doc["example"]:
                part += f"**Example Usage:**\n{doc['example']}\n\n"
            if doc["args"]:
                part += f"**Arguments:**\n{doc['args']}\n"
            docs_parts.append(part)
    if not docs_parts:
        return ""
    return "### Documentação Oficial dos Recursos (registry.terraform.io)\n" + \
           "Use exatamente os argumentos e estrutura mostrados nos exemplos abaixo.\n\n" + \
           "\n---\n".join(docs_parts)


def _detect_tf_resource_types(text: str) -> list[str]:
    """Detect OCI resource types mentioned or implied in a user message + conversation."""
    import re as _re
    # Direct mentions of oci_ resource types
    explicit = set(_re.findall(r'\boci_\w+', text))
    # Keyword-to-resource mapping for common infra requests
    keyword_map = {
        'vcn': ['oci_core_vcn', 'oci_core_subnet', 'oci_core_internet_gateway', 'oci_core_nat_gateway',
                'oci_core_route_table', 'oci_core_security_list'],
        'subnet': ['oci_core_subnet'],
        'instance': ['oci_core_instance', 'oci_core_instance_configuration'],
        'compute': ['oci_core_instance'],
        'load.?balancer': ['oci_load_balancer_load_balancer', 'oci_load_balancer_backend_set',
                           'oci_load_balancer_listener'],
        'nlb': ['oci_network_load_balancer_network_load_balancer', 'oci_network_load_balancer_backend_set',
                'oci_network_load_balancer_listener'],
        'firewall': ['oci_network_firewall_network_firewall', 'oci_network_firewall_network_firewall_policy'],
        'drg': ['oci_core_drg', 'oci_core_drg_attachment', 'oci_core_drg_route_table'],
        'peering|rpc': ['oci_core_remote_peering_connection'],
        'bucket|object.?storage': ['oci_objectstorage_bucket', 'oci_objectstorage_namespace_metadata'],
        'autonomous|adb': ['oci_database_autonomous_database'],
        'db.?system': ['oci_database_db_system'],
        'mysql': ['oci_mysql_mysql_db_system'],
        'oke|kubernetes|cluster': ['oci_containerengine_cluster', 'oci_containerengine_node_pool'],
        'dns': ['oci_dns_zone', 'oci_dns_record'],
        'vault|kms': ['oci_kms_vault', 'oci_kms_key'],
        'waf': ['oci_waf_web_app_firewall', 'oci_waf_web_app_firewall_policy'],
        'api.?gateway': ['oci_apigateway_gateway', 'oci_apigateway_deployment'],
        'function|serverless': ['oci_functions_application', 'oci_functions_function'],
        'nsg': ['oci_core_network_security_group', 'oci_core_network_security_group_security_rule'],
        'bastion': ['oci_bastion_bastion', 'oci_bastion_session'],
        'file.?storage': ['oci_file_storage_file_system', 'oci_file_storage_mount_target',
                          'oci_file_storage_export'],
        'block.?volume': ['oci_core_volume', 'oci_core_volume_attachment'],
        'policy|iam': ['oci_identity_policy', 'oci_identity_compartment', 'oci_identity_group',
                       'oci_identity_dynamic_group'],
    }
    text_lower = text.lower()
    for pattern, resources in keyword_map.items():
        if _re.search(pattern, text_lower):
            explicit.update(resources)
    return sorted(explicit)


def _get_adb_connection(cfg: dict):
    """Create an oracledb connection from an adb_vector_configs row."""
    import oracledb
    params = {"user": cfg["username"], "password": _dec(cfg["password_enc"]), "dsn": cfg["dsn"]}
    if cfg["use_mtls"] and cfg.get("wallet_dir"):
        params["config_dir"] = cfg["wallet_dir"]
        params["wallet_location"] = cfg["wallet_dir"]
        params["wallet_password"] = _dec(cfg["wallet_password_enc"]) if cfg.get("wallet_password_enc") else ""
    return oracledb.connect(**params)

def _resolve_embed_config(oci_config_id: str = None, genai_cfg: dict = None) -> dict:
    """Resolve embedding config from genai_cfg or oci_config. Returns dict with oci_config_id, endpoint, genai_region, compartment_id."""
    if genai_cfg:
        return genai_cfg
    if oci_config_id:
        with db() as c:
            # Try linked genai config first
            gc = c.execute("SELECT * FROM genai_configs WHERE oci_config_id=? ORDER BY is_default DESC, created_at DESC",
                           (oci_config_id,)).fetchone()
            if gc: return dict(gc)
            # Fallback: build from oci_config directly
            oc = c.execute("SELECT * FROM oci_configs WHERE id=?", (oci_config_id,)).fetchone()
            if oc:
                return {
                    "oci_config_id": oc["id"],
                    "genai_region": oc["region"],
                    "endpoint": f"https://inference.generativeai.{oc['region']}.oci.oraclecloud.com",
                    "compartment_id": _safe_dec(dict(oc).get("compartment_id") or oc["tenancy_ocid"]),
                }
    # Last resort: any genai config
    with db() as c:
        gc = c.execute("SELECT * FROM genai_configs ORDER BY is_default DESC, created_at DESC").fetchone()
        if gc: return dict(gc)
        # Or any oci config
        oc = c.execute("SELECT * FROM oci_configs ORDER BY created_at DESC").fetchone()
        if oc:
            return {
                "oci_config_id": oc["id"],
                "genai_region": oc["region"],
                "endpoint": f"https://inference.generativeai.{oc['region']}.oci.oraclecloud.com",
                "compartment_id": _safe_dec(dict(oc).get("compartment_id") or oc["tenancy_ocid"]),
            }
    raise HTTPException(400, "Nenhuma credencial OCI configurada para gerar embeddings.")

def _embed_text(text: str, genai_cfg: dict, embedding_model_id: str, max_chars: int = 8000) -> list:
    """Generate embedding using OCI GenAI embed endpoint."""
    import oci
    # Truncate text to fit model token limit (~8192 tokens)
    if len(text) > max_chars:
        text = text[:max_chars]
    config_path = str(OCI_DIR / genai_cfg["oci_config_id"] / "config")
    config = oci.config.from_file(config_path, "DEFAULT")
    endpoint = genai_cfg.get("endpoint") or f"https://inference.generativeai.{genai_cfg.get('genai_region','us-ashburn-1')}.oci.oraclecloud.com"
    client = oci.generative_ai_inference.GenerativeAiInferenceClient(
        config=config, service_endpoint=endpoint,
        retry_strategy=oci.retry.NoneRetryStrategy(), timeout=(10, 120)
    )
    embed_detail = oci.generative_ai_inference.models.EmbedTextDetails()
    embed_detail.inputs = [text]
    emb_info = EMBEDDING_MODELS.get(embedding_model_id, {})
    region = genai_cfg.get("genai_region", "")
    emb_ref = emb_info.get("ocids", {}).get(region) or embedding_model_id
    embed_detail.serving_mode = oci.generative_ai_inference.models.OnDemandServingMode(model_id=emb_ref)
    embed_detail.compartment_id = genai_cfg.get("compartment_id", "")
    embed_detail.truncate = "END"
    embed_detail.input_type = "SEARCH_QUERY"
    response = client.embed_text(embed_detail)
    return response.data.embeddings[0]

_DIM_TO_MODEL = {1536: "openai.text-embedding-3-small", 3072: "openai.text-embedding-3-large"}

def _get_table_embedding_dim(cfg: dict, table_name: str) -> int:
    """Detect the embedding dimension of a table by sampling one row."""
    conn = _get_adb_connection(cfg)
    try:
        cur = conn.cursor()
        cur.execute(f'SELECT VECTOR_DIMENSION_COUNT(EMBEDDING) FROM "{table_name}" FETCH FIRST 1 ROWS ONLY')
        row = cur.fetchone()
        cur.close()
        return int(row[0]) if row and row[0] else 0
    except Exception as e:
        log.warning(f"Failed to get embedding dimension for table '{table_name}': {e}")
        return 0
    finally:
        conn.close()

def _vector_search(cfg: dict, query_embedding: list, top_k: int = 5, table_name: str = None, tenancy: str = None) -> list:
    """Search ADB vector store using cosine similarity. Returns top-K documents.
    If tenancy is provided, filters METADATA JSON to match that tenancy only."""
    import array
    table_name = table_name or cfg.get("table_name", "")
    conn = _get_adb_connection(cfg)
    try:
        cur = conn.cursor()
        vec = array.array('f', query_embedding)
        if tenancy:
            # Filter by tenancy in METADATA JSON field using LIKE for broad compatibility
            # Matches both structured JSON {"tenancy":"X",...} and legacy "tenancy: X, ..."
            tenancy_filter = f'%"tenancy":"{tenancy}"%'
            tenancy_filter_legacy = f'%tenancy: {tenancy}%'
            cur.execute(f"""
                SELECT ID, TEXT, METADATA,
                       VECTOR_DISTANCE(EMBEDDING, :1, COSINE) AS distance
                FROM "{table_name}"
                WHERE (METADATA LIKE :3 OR METADATA LIKE :4)
                ORDER BY distance ASC
                FETCH FIRST :2 ROWS ONLY
            """, [vec, top_k, tenancy_filter, tenancy_filter_legacy])
        else:
            cur.execute(f"""
                SELECT ID, TEXT, METADATA,
                       VECTOR_DISTANCE(EMBEDDING, :1, COSINE) AS distance
                FROM "{table_name}"
                ORDER BY distance ASC
                FETCH FIRST :2 ROWS ONLY
            """, [vec, top_k])
        results = []
        for row in cur:
            content = row[1]
            if hasattr(content, 'read'):
                content = content.read()
            results.append({
                "id": row[0], "content": content or "",
                "metadata": row[2], "distance": float(row[3])
            })
        cur.close()
        return results
    finally:
        conn.close()

def _enrich_doc_content(doc: dict) -> str:
    """Extract the best text content from a document, checking metadata.text as fallback."""
    content = doc.get("content", "")
    meta = doc.get("metadata", "")
    if isinstance(meta, str) and meta:
        try:
            meta = json.loads(meta)
        except Exception as e:
            log.warning(f"Failed to parse document metadata JSON: {e}")
            meta = {}
    if isinstance(meta, dict):
        # If TEXT column is short/empty, use metadata.text instead
        meta_text = meta.get("text", "")
        if meta_text and len(meta_text) > len(content):
            header_parts = []
            if meta.get("recommendationNumber"):
                header_parts.append(f"Recommendation: {meta['recommendationNumber']}")
            if meta.get("chapter"):
                header_parts.append(f"Chapter: {meta['chapter']}")
            if meta.get("header"):
                header_parts.append(meta["header"])
            header = " | ".join(header_parts)
            content = (header + "\n" + meta_text) if header else meta_text
        # Also enrich with section/tenancy info if available
        elif meta.get("section") or meta.get("tenancy"):
            extra = []
            if meta.get("tenancy"): extra.append(f"Tenancy: {meta['tenancy']}")
            if meta.get("section"): extra.append(f"Section: {meta['section']}")
            if extra:
                content = " | ".join(extra) + "\n" + content
    return content

def _build_rag_context(documents: list) -> str:
    """Format retrieved documents into a context string for the LLM prompt."""
    if not documents:
        return ""
    parts = []
    for i, doc in enumerate(documents, 1):
        source = doc.get("source", "unknown")
        content = _enrich_doc_content(doc)
        if len(content) > 2000:
            content = content[:2000] + "..."
        parts.append(f"[Document {i} | Source: {source}]\n{content}")
    return "\n\n---\n\n".join(parts)

def _get_active_adb_configs(user_id: str) -> list[dict]:
    """Get all active ADB vector configs. GenAI config is resolved automatically if not linked."""
    with db() as c:
        rows = c.execute(
            "SELECT * FROM adb_vector_configs WHERE user_id=? AND is_active=1 ORDER BY created_at DESC",
            (user_id,)
        ).fetchall()
        if not rows:
            rows = c.execute(
                "SELECT * FROM adb_vector_configs WHERE is_active=1 ORDER BY created_at DESC"
            ).fetchall()
    return [dict(r) for r in rows]

def _get_tables_for_config(adb_config_id: str, active_only: bool = True) -> list[dict]:
    """Get all registered vector tables for an ADB config."""
    with db() as c:
        sql = "SELECT * FROM adb_vector_tables WHERE adb_config_id=?"
        if active_only:
            sql += " AND is_active=1"
        sql += " ORDER BY created_at ASC"
        rows = c.execute(sql, (adb_config_id,)).fetchall()
    return [dict(r) for r in rows]

# ── MCP Servers ───────────────────────────────────────────────────────────────
@app.post("/api/mcp/servers")
async def register_mcp(req: MCPServerReq, u=Depends(require("admin","user"))):
    mid = str(uuid.uuid4())
    with db() as c:
        c.execute(
            "INSERT INTO mcp_servers (id,user_id,name,description,server_type,command,args,env_vars,url,module_path,tools,linked_adb_id) VALUES (?,?,?,?,?,?,?,?,?,?,?,?)",
            (mid, u["id"], req.name, req.description, req.server_type,
             req.command, json.dumps(req.args) if req.args else None,
             json.dumps(req.env_vars) if req.env_vars else None, req.url, req.module_path,
             json.dumps(req.tools) if req.tools else None, req.linked_adb_id))
    _audit(u["id"], u["username"], "register_mcp", mid, req.name)
    _config_log("mcp", mid, req.name, "success", "save", f"MCP registrado: {req.name} ({req.server_type})", u["id"], u["username"])
    return {"id": mid, "name": req.name, "server_type": req.server_type}

@app.get("/api/mcp/servers")
async def list_mcp(u=Depends(current_user)):
    with db() as c:
        if u["role"]=="admin": rows=c.execute("SELECT * FROM mcp_servers ORDER BY created_at DESC").fetchall()
        else: rows=c.execute("SELECT * FROM mcp_servers WHERE user_id=? ORDER BY created_at DESC",(u["id"],)).fetchall()
    res = []
    for r in rows:
        d = dict(r)
        for k in ("args","env_vars","tools"):
            if d.get(k):
                try: d[k] = json.loads(d[k])
                except Exception as e: log.warning(f"Failed to parse MCP server field '{k}': {e}")
        res.append(d)
    return res

@app.delete("/api/mcp/servers/{mid}")
async def del_mcp(mid: str, u=Depends(require("admin","user"))):
    with db() as c: c.execute("DELETE FROM mcp_servers WHERE id=?", (mid,))
    return {"ok": True}

@app.put("/api/mcp/servers/{mid}")
async def update_mcp(mid: str, req: MCPServerReq, u=Depends(require("admin","user"))):
    with db() as c:
        existing = c.execute("SELECT * FROM mcp_servers WHERE id=?", (mid,)).fetchone()
    if not existing: raise HTTPException(404)
    if u["role"] != "admin" and existing["user_id"] != u["id"]: raise HTTPException(403)
    with db() as c:
        c.execute(
            "UPDATE mcp_servers SET name=?,description=?,server_type=?,command=?,args=?,env_vars=?,url=?,tools=?,linked_adb_id=? WHERE id=?",
            (req.name, req.description, req.server_type, req.command,
             json.dumps(req.args) if req.args else None,
             json.dumps(req.env_vars) if req.env_vars else None, req.url,
             json.dumps(req.tools) if req.tools else None, req.linked_adb_id, mid))
    _audit(u["id"], u["username"], "update_mcp", mid, req.name)
    _config_log("mcp", mid, req.name, "success", "save", f"MCP atualizado: {req.name} ({req.server_type})", u["id"], u["username"])
    return {"id": mid, "name": req.name, "server_type": req.server_type}

@app.put("/api/mcp/servers/{mid}/toggle")
async def toggle_mcp(mid: str, u=Depends(require("admin","user"))):
    with db() as c:
        cur = c.execute("SELECT is_active FROM mcp_servers WHERE id=?",(mid,)).fetchone()
        if not cur: raise HTTPException(404)
        c.execute("UPDATE mcp_servers SET is_active=? WHERE id=?",(0 if cur["is_active"] else 1, mid))
    return {"ok": True, "is_active": not cur["is_active"]}

@app.post("/api/mcp/servers/{mid}/upload")
async def upload_mcp_file(mid: str, file: UploadFile = File(...), u=Depends(require("admin","user"))):
    await _validate_upload(file, {".py", ".js", ".ts", ".json", ".yaml", ".yml", ".toml", ".sh"})
    file.file.seek(0)
    sdir = MCP_DIR / mid; sdir.mkdir(parents=True, exist_ok=True)
    fp = sdir / file.filename
    fp.write_bytes(await file.read())
    with db() as c: c.execute("UPDATE mcp_servers SET module_path=? WHERE id=?", (str(fp), mid))
    return {"ok": True, "path": str(fp)}

@app.put("/api/mcp/servers/{mid}/link-adb")
async def link_mcp_adb(mid: str, adb_id: str = Query(...), u=Depends(require("admin","user"))):
    with db() as c: c.execute("UPDATE mcp_servers SET linked_adb_id=? WHERE id=?", (adb_id, mid))
    return {"ok": True, "mcp_id": mid, "linked_adb_id": adb_id}

@app.post("/api/mcp/servers/{mid}/discover-tools")
async def discover_mcp_tools(mid: str, u=Depends(require("admin","user"))):
    """Connect to MCP server and discover available tools."""
    with db() as c:
        row = c.execute("SELECT * FROM mcp_servers WHERE id=?", (mid,)).fetchone()
    if not row: raise HTTPException(404)
    mcp_srv = dict(row)
    try:
        discovered = await _discover_mcp_tools(mcp_srv)
    except Exception as e:
        raise HTTPException(500, f"Erro ao descobrir tools: {str(e)[:500]}")
    # Merge with existing tools (keep manually added ones)
    existing = []
    if mcp_srv.get("tools"):
        try: existing = json.loads(mcp_srv["tools"]) if isinstance(mcp_srv["tools"], str) else mcp_srv["tools"]
        except Exception as e: log.warning(f"Failed to parse existing MCP tools JSON: {e}")
    existing_names = {t["name"] for t in existing if isinstance(t, dict)}
    for dt in discovered:
        if dt["name"] not in existing_names:
            existing.append(dt)
        else:
            # Update existing tool with discovered schema
            for i, et in enumerate(existing):
                if isinstance(et, dict) and et["name"] == dt["name"]:
                    existing[i] = dt
                    break
    with db() as c:
        c.execute("UPDATE mcp_servers SET tools=? WHERE id=?", (json.dumps(existing), mid))
    _audit(u["id"], u["username"], "discover_mcp_tools", mid, f"{len(discovered)} tools found")
    return {"ok": True, "discovered": len(discovered), "total": len(existing), "tools": existing}

@app.put("/api/mcp/servers/{mid}/tools")
async def update_mcp_tools(mid: str, req: dict, u=Depends(require("admin","user"))):
    """Manually update tools for an MCP server."""
    with db() as c:
        row = c.execute("SELECT id FROM mcp_servers WHERE id=?", (mid,)).fetchone()
    if not row: raise HTTPException(404)
    tools = req.get("tools", [])
    if not isinstance(tools, list): raise HTTPException(400, "tools must be a list")
    for t in tools:
        if not isinstance(t, dict) or "name" not in t:
            raise HTTPException(400, "Each tool must have a 'name' field")
    with db() as c:
        c.execute("UPDATE mcp_servers SET tools=? WHERE id=?", (json.dumps(tools), mid))
    return {"ok": True, "tools": tools}

async def _discover_mcp_tools(mcp_srv: dict) -> list[dict]:
    """Connect to MCP server and list available tools."""
    from mcp import ClientSession
    if mcp_srv["server_type"] in ("stdio", "module"):
        from mcp.client.stdio import stdio_client, StdioServerParameters
        cmd = mcp_srv.get("command") or "python3"
        args_raw = mcp_srv.get("args")
        args = json.loads(args_raw) if isinstance(args_raw, str) else (args_raw or [])
        env_raw = mcp_srv.get("env_vars")
        env = json.loads(env_raw) if isinstance(env_raw, str) else (env_raw or None)
        params = StdioServerParameters(command=cmd, args=args, env=env)
        async with stdio_client(params) as streams:
            async with ClientSession(*streams) as session:
                await session.initialize()
                result = await session.list_tools()
                return [{"name": t.name, "description": t.description or "",
                         "input_schema": t.inputSchema if hasattr(t, 'inputSchema') else {}} for t in result.tools]
    elif mcp_srv["server_type"] == "sse":
        from mcp.client.sse import sse_client
        async with sse_client(mcp_srv["url"]) as streams:
            async with ClientSession(*streams) as session:
                await session.initialize()
                result = await session.list_tools()
                return [{"name": t.name, "description": t.description or "",
                         "input_schema": t.inputSchema if hasattr(t, 'inputSchema') else {}} for t in result.tools]
    return []

async def _execute_mcp_tool(mcp_srv: dict, tool_name: str, arguments: dict) -> str:
    """Connect to MCP server and execute a specific tool."""
    from mcp import ClientSession
    if mcp_srv["server_type"] in ("stdio", "module"):
        from mcp.client.stdio import stdio_client, StdioServerParameters
        cmd = mcp_srv.get("command") or "python3"
        args_raw = mcp_srv.get("args")
        args = json.loads(args_raw) if isinstance(args_raw, str) else (args_raw or [])
        env_raw = mcp_srv.get("env_vars")
        env = json.loads(env_raw) if isinstance(env_raw, str) else (env_raw or None)
        params = StdioServerParameters(command=cmd, args=args, env=env)
        async with stdio_client(params) as streams:
            async with ClientSession(*streams) as session:
                await session.initialize()
                result = await session.call_tool(tool_name, arguments)
                parts = []
                for c in result.content:
                    if hasattr(c, 'text'):
                        parts.append(c.text)
                    elif hasattr(c, 'data'):
                        parts.append(str(c.data))
                return "\n".join(parts) if parts else "Tool executed successfully (no output)"
    elif mcp_srv["server_type"] == "sse":
        from mcp.client.sse import sse_client
        async with sse_client(mcp_srv["url"]) as streams:
            async with ClientSession(*streams) as session:
                await session.initialize()
                result = await session.call_tool(tool_name, arguments)
                parts = []
                for c in result.content:
                    if hasattr(c, 'text'):
                        parts.append(c.text)
                    elif hasattr(c, 'data'):
                        parts.append(str(c.data))
                return "\n".join(parts) if parts else "Tool executed successfully (no output)"
    raise ValueError(f"Unsupported MCP server type: {mcp_srv['server_type']}")

def _get_active_mcp_tools(user_id: str) -> list[dict]:
    """Get all tools from active MCP servers for a user, with server reference."""
    with db() as c:
        rows = c.execute(
            "SELECT * FROM mcp_servers WHERE is_active=1 AND (user_id=? OR EXISTS (SELECT 1 FROM users WHERE id=? AND role='admin'))",
            (user_id, user_id)
        ).fetchall()
    result = []
    for r in rows:
        srv = dict(r)
        tools_raw = srv.get("tools")
        if not tools_raw:
            continue
        try:
            tools = json.loads(tools_raw) if isinstance(tools_raw, str) else tools_raw
        except Exception as e:
            log.warning(f"Failed to parse tools JSON for MCP server '{srv.get('name', '?')}': {e}")
            continue
        for t in tools:
            if isinstance(t, dict) and t.get("name"):
                result.append({"server": srv, "tool": t})
    return result

# ── ADB Vector DB Config ─────────────────────────────────────────────────────
@app.post("/api/adb/parse-wallet")
async def parse_wallet(wallet: UploadFile = File(...), u=Depends(require("admin","user"))):
    """Extract DSN names from tnsnames.ora inside wallet ZIP (temporary parse, no save)."""
    await _validate_upload(wallet, {".zip"})
    wallet.file.seek(0)
    import zipfile, tempfile
    try:
        data = await wallet.read()
        with tempfile.TemporaryDirectory() as tmp:
            zp = Path(tmp) / "wallet.zip"
            zp.write_bytes(data)
            with zipfile.ZipFile(str(zp), 'r') as z:
                z.extractall(tmp)
            tns = Path(tmp) / "tnsnames.ora"
            if not tns.exists():
                raise HTTPException(400, "Wallet ZIP não contém tnsnames.ora")
            tns_text = tns.read_text(errors="ignore")
            dsn_names = re.findall(r'^(\w[\w\-.]*)\s*=', tns_text, re.MULTILINE)
            if not dsn_names:
                raise HTTPException(400, "Nenhum DSN encontrado no tnsnames.ora")
            return {"dsn_names": dsn_names, "files": [n for n in os.listdir(tmp) if n != "wallet.zip"]}
    except zipfile.BadZipFile:
        raise HTTPException(400, "Arquivo não é um ZIP válido")

@app.post("/api/adb/config")
async def save_adb(
    config_name: str = Form(...), dsn: str = Form(...), username: str = Form(...),
    password: str = Form(...), wallet_password: str = Form(""),
    table_name: str = Form(""), use_mtls: str = Form("true"),
    genai_config_id: str = Form(""), embedding_model_id: str = Form("cohere.embed-v4.0"),
    wallet: Optional[UploadFile] = File(None),
    u=Depends(require("admin","user"))
):
    if wallet and wallet.filename:
        await _validate_upload(wallet, {".zip"})
        wallet.file.seek(0)
    vid = str(uuid.uuid4())
    use_mtls_bool = use_mtls.lower() in ("true", "1", "yes")
    with db() as c:
        c.execute(
            "INSERT INTO adb_vector_configs (id,user_id,config_name,dsn,username,password_enc,wallet_password_enc,table_name,use_mtls,genai_config_id,embedding_model_id) VALUES (?,?,?,?,?,?,?,?,?,?,?)",
            (vid, u["id"], config_name, dsn, username, _enc(password),
             _enc(wallet_password) if wallet_password else None, table_name, int(use_mtls_bool),
             genai_config_id or None, embedding_model_id))
    # Auto-save wallet if provided
    if wallet and wallet.filename:
        import zipfile
        wdir = WALLET_DIR / vid; wdir.mkdir(parents=True, exist_ok=True)
        zp = wdir / "wallet.zip"
        zp.write_bytes(await wallet.read())
        with zipfile.ZipFile(str(zp), 'r') as z: z.extractall(str(wdir))
        with db() as c: c.execute("UPDATE adb_vector_configs SET wallet_dir=? WHERE id=?", (str(wdir), vid))
        _config_log("adb", vid, config_name, "success", "upload", f"Wallet enviada com a conexão", u["id"], u["username"])
    _audit(u["id"], u["username"], "save_adb_config", vid, config_name)
    _config_log("adb", vid, config_name, "success", "save", f"Conexão salva: {config_name} ({dsn})", u["id"], u["username"])
    return {"id": vid, "config_name": config_name}

@app.post("/api/adb/{vid}/upload-wallet")
async def upload_wallet(vid: str, wallet: UploadFile = File(...), u=Depends(require("admin","user"))):
    await _validate_upload(wallet, {".zip"})
    wallet.file.seek(0)
    cname = None
    with db() as c:
        row = c.execute("SELECT config_name FROM adb_vector_configs WHERE id=?", (vid,)).fetchone()
        if row: cname = row["config_name"]
    try:
        wdir = WALLET_DIR / vid; wdir.mkdir(parents=True, exist_ok=True)
        zp = wdir / "wallet.zip"
        zp.write_bytes(await wallet.read())
        import zipfile
        with zipfile.ZipFile(str(zp), 'r') as z: z.extractall(str(wdir))
        with db() as c: c.execute("UPDATE adb_vector_configs SET wallet_dir=? WHERE id=?", (str(wdir), vid))
        files = os.listdir(str(wdir))
        _config_log("adb", vid, cname, "success", "upload", f"Wallet enviada: {', '.join(files)}", u["id"], u["username"])
        return {"ok": True, "wallet_dir": str(wdir), "files": files}
    except Exception as e:
        _config_log("adb", vid, cname, "error", "upload", str(e)[:500], u["id"], u["username"])
        raise HTTPException(500, str(e)[:500])

@app.get("/api/adb/configs")
async def list_adb(u=Depends(current_user)):
    with db() as c:
        cols = "id,config_name,dsn,username,table_name,use_mtls,is_active,wallet_dir,genai_config_id,embedding_model_id,created_at"
        if u["role"]=="admin": rows=c.execute(f"SELECT {cols} FROM adb_vector_configs").fetchall()
        else: rows=c.execute(f"SELECT {cols} FROM adb_vector_configs WHERE user_id=?",(u["id"],)).fetchall()
    result = []
    for r in rows:
        d = dict(r)
        d["tables"] = _get_tables_for_config(d["id"], active_only=False)
        result.append(d)
    return result

@app.post("/api/adb/test/{vid}")
async def test_adb(vid: str, u=Depends(require("admin","user"))):
    with db() as c:
        cfg = c.execute("SELECT * FROM adb_vector_configs WHERE id=?",(vid,)).fetchone()
    if not cfg: raise HTTPException(404)
    cname = cfg["config_name"]
    try:
        conn = _get_adb_connection(dict(cfg))
        cur = conn.cursor(); cur.execute("SELECT 1 FROM DUAL"); cur.close(); conn.close()
        _config_log("adb", vid, cname, "success", "test", "Conexão Autonomous DB OK!", u["id"], u["username"])
        return {"status":"success","message":"Conexão Autonomous DB OK!"}
    except ImportError:
        _config_log("adb", vid, cname, "error", "test", "python-oracledb não disponível no container.", u["id"], u["username"])
        return {"status":"error","message":"python-oracledb não disponível no container."}
    except Exception as e:
        msg = str(e)[:500]
        _config_log("adb", vid, cname, "error", "test", msg, u["id"], u["username"])
        return {"status":"error","message":msg}

@app.post("/api/adb/{vid}/tables/check")
async def check_adb_tables(vid: str, u=Depends(require("admin","user"))):
    """Check which registered tables exist in ADB and list all user tables."""
    with db() as c:
        cfg = c.execute("SELECT * FROM adb_vector_configs WHERE id=?", (vid,)).fetchone()
    if not cfg: raise HTTPException(404)
    registered = _get_tables_for_config(vid, active_only=False)
    reg_names_upper = {t["table_name"].upper() for t in registered}
    try:
        conn = _get_adb_connection(dict(cfg))
        cur = conn.cursor()
        cur.execute("SELECT USER FROM DUAL")
        current_user_name = cur.fetchone()[0]
        cur.execute("SELECT table_name FROM user_tables ORDER BY table_name")
        adb_tables = [r[0] for r in cur.fetchall()]
        adb_lookup = {t.upper(): t for t in adb_tables}
        results = []
        for t in registered:
            tname_reg = t["table_name"]
            tname_upper = tname_reg.upper()
            real_name = adb_lookup.get(tname_upper)
            if real_name:
                try:
                    cur.execute(f'SELECT COUNT(*) FROM "{real_name}"')
                    cnt = cur.fetchone()[0]
                    case_note = f" (ADB: {real_name})" if real_name != tname_reg else ""
                    results.append({"table": tname_reg, "adb_name": real_name, "status": "ok", "rows": cnt, "message": f"{cnt} registros{case_note}"})
                except Exception as e:
                    results.append({"table": tname_reg, "status": "error", "message": str(e)[:200]})
            else:
                results.append({"table": tname_reg, "status": "not_found", "message": f"Não existe no schema {current_user_name}"})
        unregistered = [t for t in adb_tables if t.upper() not in reg_names_upper]
        cur.close()
        conn.close()
        return {
            "status": "success",
            "schema_user": current_user_name,
            "adb_tables_total": len(adb_tables),
            "registered": results,
            "unregistered_in_adb": unregistered[:50]
        }
    except Exception as e:
        return {"status": "error", "message": f"Erro de conexão: {str(e)[:500]}"}

@app.delete("/api/adb/configs/{vid}")
async def del_adb(vid: str, u=Depends(require("admin","user"))):
    with db() as c: c.execute("DELETE FROM adb_vector_configs WHERE id=?", (vid,))
    d = WALLET_DIR / vid
    if d.exists(): shutil.rmtree(d)
    return {"ok": True}

@app.put("/api/adb/configs/{vid}")
async def update_adb(
    vid: str,
    config_name: str = Form(...), dsn: str = Form(...), username: str = Form(...),
    password: str = Form(""), wallet_password: str = Form(""),
    table_name: str = Form(""), use_mtls: str = Form("true"),
    genai_config_id: str = Form(""), embedding_model_id: str = Form("cohere.embed-v4.0"),
    wallet: Optional[UploadFile] = File(None),
    u=Depends(require("admin","user"))
):
    if wallet and wallet.filename:
        await _validate_upload(wallet, {".zip"})
        wallet.file.seek(0)
    with db() as c:
        existing = c.execute("SELECT * FROM adb_vector_configs WHERE id=?", (vid,)).fetchone()
    if not existing: raise HTTPException(404)
    if u["role"] != "admin" and existing["user_id"] != u["id"]: raise HTTPException(403)
    use_mtls_bool = use_mtls.lower() in ("true", "1", "yes")
    sets = "config_name=?,dsn=?,username=?,table_name=?,use_mtls=?,genai_config_id=?,embedding_model_id=?"
    vals = [config_name, dsn, username, table_name, int(use_mtls_bool), genai_config_id or None, embedding_model_id]
    if password:
        sets += ",password_enc=?"
        vals.append(_enc(password))
    if wallet_password:
        sets += ",wallet_password_enc=?"
        vals.append(_enc(wallet_password))
    vals.append(vid)
    with db() as c:
        c.execute(f"UPDATE adb_vector_configs SET {sets} WHERE id=?", vals)
    if wallet and wallet.filename:
        import zipfile
        wdir = WALLET_DIR / vid; wdir.mkdir(parents=True, exist_ok=True)
        zp = wdir / "wallet.zip"
        zp.write_bytes(await wallet.read())
        with zipfile.ZipFile(str(zp), 'r') as z: z.extractall(str(wdir))
        with db() as c: c.execute("UPDATE adb_vector_configs SET wallet_dir=? WHERE id=?", (str(wdir), vid))
        _config_log("adb", vid, config_name, "success", "upload", "Wallet atualizado", u["id"], u["username"])
    _audit(u["id"], u["username"], "update_adb_config", vid, config_name)
    _config_log("adb", vid, config_name, "success", "save", f"Conexão atualizada: {config_name} ({dsn})", u["id"], u["username"])
    return {"id": vid, "config_name": config_name}

_TABLE_NAME_RE = re.compile(r'^[A-Za-z][A-Za-z0-9_]{0,127}$')

@app.get("/api/adb/{vid}/tables")
async def list_adb_tables(vid: str, u=Depends(current_user)):
    with db() as c:
        cfg = c.execute("SELECT id FROM adb_vector_configs WHERE id=?", (vid,)).fetchone()
    if not cfg: raise HTTPException(404)
    return _get_tables_for_config(vid, active_only=False)

@app.post("/api/adb/{vid}/tables")
async def add_adb_table(vid: str, req: dict, u=Depends(require("admin","user"))):
    table_name = req.get("table_name", "").strip()
    description = req.get("description", "").strip()
    if not table_name: raise HTTPException(400, "table_name é obrigatório")
    if not _TABLE_NAME_RE.match(table_name): raise HTTPException(400, "Nome da tabela inválido. Use letras maiúsculas, números e underscores.")
    with db() as c:
        cfg = c.execute("SELECT * FROM adb_vector_configs WHERE id=?", (vid,)).fetchone()
    if not cfg: raise HTTPException(404, "ADB config not found")
    tid = str(uuid.uuid4())
    try:
        with db() as c:
            c.execute("INSERT INTO adb_vector_tables (id, adb_config_id, table_name, description) VALUES (?,?,?,?)",
                      (tid, vid, table_name, description))
    except sqlite3.IntegrityError:
        raise HTTPException(409, f"Tabela '{table_name}' já registrada nesta conexão")
    _config_log("adb", vid, cfg["config_name"], "success", "add_table", f"Tabela '{table_name}' registrada", u["id"], u["username"])
    return {"id": tid, "table_name": table_name}

@app.delete("/api/adb/{vid}/tables/{tid}")
async def remove_adb_table(vid: str, tid: str, u=Depends(require("admin","user"))):
    with db() as c:
        row = c.execute("SELECT * FROM adb_vector_tables WHERE id=? AND adb_config_id=?", (tid, vid)).fetchone()
    if not row: raise HTTPException(404, "Table entry not found")
    with db() as c:
        c.execute("DELETE FROM adb_vector_tables WHERE id=?", (tid,))
    return {"ok": True}

@app.put("/api/adb/{vid}/tables/{tid}")
async def update_adb_table(vid: str, tid: str, req: dict, u=Depends(require("admin","user"))):
    with db() as c:
        row = c.execute("SELECT * FROM adb_vector_tables WHERE id=? AND adb_config_id=?", (tid, vid)).fetchone()
    if not row: raise HTTPException(404, "Table entry not found")
    sets, vals = [], []
    if "table_name" in req:
        tn = req["table_name"].strip()
        if not tn: raise HTTPException(400, "table_name é obrigatório")
        if not _TABLE_NAME_RE.match(tn): raise HTTPException(400, "Nome da tabela inválido")
        sets.append("table_name=?"); vals.append(tn)
    if "description" in req:
        sets.append("description=?"); vals.append(req["description"])
    if "is_active" in req:
        sets.append("is_active=?"); vals.append(int(req["is_active"]))
    if not sets: return {"ok": True}
    vals.append(tid)
    try:
        with db() as c:
            c.execute(f"UPDATE adb_vector_tables SET {','.join(sets)} WHERE id=?", vals)
    except sqlite3.IntegrityError:
        raise HTTPException(409, "Tabela com este nome já existe nesta conexão")
    return {"ok": True}

@app.post("/api/adb/{vid}/ingest")
async def ingest_documents(vid: str, req: IngestDocReq, bg: BackgroundTasks, u=Depends(require("admin","user"))):
    with db() as c:
        cfg = c.execute("SELECT * FROM adb_vector_configs WHERE id=?", (vid,)).fetchone()
    if not cfg: raise HTTPException(404, "ADB config not found")
    cfg = dict(cfg)
    if not cfg.get("genai_config_id"):
        raise HTTPException(400, "GenAI config not linked to this ADB connection")
    with db() as c:
        gc = c.execute("SELECT * FROM genai_configs WHERE id=?", (cfg["genai_config_id"],)).fetchone()
    if not gc: raise HTTPException(400, "Linked GenAI config not found")
    bg.add_task(_ingest_documents_task, cfg, dict(gc), req.documents, u["id"], u["username"], table_name=req.table_name)
    return {"ok": True, "message": f"Ingestão iniciada para {len(req.documents)} documentos", "config_id": vid}

def _build_metadata_json(tenancy: str = "", compartments: str = "", section: str = "",
                         report_date: str = "", extra: dict = None) -> str:
    """Build a structured JSON metadata string for vector embeddings."""
    meta = {}
    if tenancy:
        meta["tenancy"] = tenancy
    if compartments:
        meta["compartments"] = compartments
    if section:
        meta["section"] = section
    if report_date:
        meta["report_date"] = report_date
    if extra:
        meta.update(extra)
    return json.dumps(meta, ensure_ascii=False) if meta else ""


def _auto_register_table(adb_config_id: str, table_name: str, description: str = ""):
    """Auto-register a table in adb_vector_tables if not already present."""
    if not table_name:
        return
    with db() as c:
        exists = c.execute("SELECT 1 FROM adb_vector_tables WHERE adb_config_id=? AND table_name=? COLLATE NOCASE",
                           (adb_config_id, table_name)).fetchone()
        if not exists:
            c.execute("INSERT INTO adb_vector_tables (id, adb_config_id, table_name, description) VALUES (?,?,?,?)",
                      (str(uuid.uuid4()), adb_config_id, table_name, description))
            log.info(f"Auto-registered table '{table_name}' for ADB config {adb_config_id}")

def _ingest_documents_task(cfg: dict, genai_cfg: dict, documents: list, user_id: str, username: str,
                           table_name: str = None, tenancy: str = None, compartments: str = None,
                           report_date: str = None, task_id: str = None):
    """Background task: embed and insert documents into ADB via OCI GenAI.
    Tenancy and compartments are stored in METADATA as structured JSON for filtering."""
    import array
    emb_model = cfg.get("embedding_model_id", "cohere.embed-v4.0")
    table_name = table_name or cfg.get("table_name", "")
    total = len(documents)
    # Track status
    if task_id:
        _set_embed_status(task_id, {"status": "running", "table": table_name, "tenancy": tenancy or "",
                                       "inserted": 0, "total": total, "message": "Iniciando embedding..."})
    # Auto-register table so it appears in multi-table RAG search
    _auto_register_table(cfg["id"], table_name)
    conn = _get_adb_connection(cfg)
    try:
        cur = conn.cursor()
        inserted = 0
        for i, doc in enumerate(documents):
            try:
                content = doc.get("content", "")
                if not content: continue
                embedding = _embed_text(content, genai_cfg, emb_model)
                vec = array.array('f', [float(x) for x in embedding])
                # Build structured metadata with tenancy isolation
                doc_tenancy = tenancy or doc.get("tenancy", "")
                doc_compartments = compartments or doc.get("compartments", "")
                metadata = _build_metadata_json(
                    tenancy=doc_tenancy,
                    compartments=doc_compartments,
                    section=doc.get("section", ""),
                    report_date=report_date or "",
                    extra={"legacy_metadata": doc.get("metadata", "")} if doc.get("metadata") else None
                )
                cur.execute(f"""
                    INSERT INTO "{table_name}" (ID, TEXT, EMBEDDING, METADATA)
                    VALUES (HEXTORAW(:1), :2, :3, :4)
                """, [uuid.uuid4().hex.upper(), content, vec, metadata])
                inserted += 1
                if task_id:
                    _update_embed_status(task_id, {"inserted": inserted, "message": f"Embedding {inserted}/{total}..."})
            except Exception as e:
                log.error(f"Failed to ingest document: {e}")
        conn.commit()
        cur.close()
        msg = f"{inserted}/{total} documentos ingeridos em {table_name}" + (f" (tenancy: {tenancy})" if tenancy else "")
        log.info(f"Ingested {inserted}/{total} documents into {table_name}" +
                 (f" (tenancy={tenancy})" if tenancy else ""))
        _audit(user_id, username, "ingest_documents", cfg["id"], f"{inserted} documents")
        _config_log("adb", cfg["id"], cfg.get("config_name"), "success", "ingest", msg, user_id, username)
        if task_id:
            _update_embed_status(task_id, {"status": "done", "inserted": inserted, "message": msg})
    except Exception as e:
        log.error(f"Ingestion task failed: {e}")
        _config_log("adb", cfg["id"], cfg.get("config_name"), "error", "ingest", str(e)[:500], user_id, username)
        if task_id:
            _update_embed_status(task_id, {"status": "error", "message": str(e)[:300]})
    finally:
        conn.close()

# ── Embeddings ────────────────────────────────────────────────────────────────
def _chunk_report_by_section(report_data: dict) -> list:
    """Chunk a CIS report into documents grouped by section."""
    if isinstance(report_data, str):
        report_data = json.loads(report_data)
    if isinstance(report_data, list):
        report_data = {"findings": {str(i): item for i, item in enumerate(report_data)}, "tenancy": "unknown"}
    findings = report_data.get("findings", {})
    tenancy = report_data.get("tenancy", "unknown")
    generated_at = report_data.get("generated_at", "")
    regions = report_data.get("regions", [])
    compartments = report_data.get("compartments", [])
    # Build context header for each chunk
    ctx_parts = [f"Tenancy: {tenancy}"]
    if regions:
        ctx_parts.append(f"Regions: {', '.join(regions)}")
    if compartments:
        ctx_parts.append(f"Compartments: {', '.join(compartments[:50])}")
    ctx_header = "\n".join(ctx_parts)
    sections = {}
    for cid, check in findings.items():
        sec = check.get("section", "Other")
        sections.setdefault(sec, [])
        sections[sec].append(check)
    documents = []
    for section_name, checks in sections.items():
        passed = sum(1 for c in checks if c.get("status") == "PASS")
        failed = sum(1 for c in checks if c.get("status") == "FAIL")
        review = sum(1 for c in checks if c.get("status") == "REVIEW")
        lines = [ctx_header, "", f"Section: {section_name}", f"Total checks: {len(checks)}, Passed: {passed}, Failed: {failed}, Review: {review}", ""]
        for c in checks:
            status = c.get("status", "REVIEW")
            lines.append(f"- [{c.get('id', '')}] {c.get('title', '')} — Status: {status}")
            if c.get("findings"):
                for f in c["findings"]:
                    lines.append(f"  Finding: {f}")
        documents.append({
            "content": "\n".join(lines),
            "source": f"CIS Report - {tenancy} - {generated_at}",
            "section": section_name,
            "tenancy": tenancy,
            "compartments": ", ".join(compartments[:50]),
            "metadata": f"tenancy: {tenancy}, section: {section_name}, total: {len(checks)}, passed: {passed}, failed: {failed}, review: {review}"
        })
    return documents

def _chunk_text_file(text: str, filename: str, chunk_size: int = 1000) -> list:
    """Split text into chunks by paragraphs or fixed size."""
    paragraphs = [p.strip() for p in text.split("\n\n") if p.strip()]
    documents = []
    current_chunk = ""
    chunk_num = 1
    for para in paragraphs:
        if len(current_chunk) + len(para) + 2 > chunk_size and current_chunk:
            documents.append({"content": current_chunk, "source": filename, "metadata": f"chunk: {chunk_num}"})
            chunk_num += 1
            current_chunk = para
        else:
            current_chunk = current_chunk + "\n\n" + para if current_chunk else para
    if current_chunk:
        documents.append({"content": current_chunk, "source": filename, "metadata": f"chunk: {chunk_num}"})
    return documents

def _get_adb_and_genai(vid: str, oci_config_id: str = None):
    """Load ADB config and resolve embed config.
    Priority: ADB.genai_config_id → genai by oci_config_id → oci_config directly → any available."""
    with db() as c:
        cfg = c.execute("SELECT * FROM adb_vector_configs WHERE id=?", (vid,)).fetchone()
    if not cfg: raise HTTPException(404, "ADB config not found")
    cfg = dict(cfg)
    genai_cfg = None
    if cfg.get("genai_config_id"):
        with db() as c:
            row = c.execute("SELECT * FROM genai_configs WHERE id=?", (cfg["genai_config_id"],)).fetchone()
            if row: genai_cfg = dict(row)
    gc = _resolve_embed_config(oci_config_id=oci_config_id, genai_cfg=genai_cfg)
    return cfg, gc

@app.get("/api/embeddings/preview/{rid}")
async def preview_report_chunks(rid: str, u=Depends(current_user)):
    """Preview the chunks that will be generated from a CIS report before embedding."""
    with db() as c:
        r = c.execute("SELECT json_path,tenancy_name FROM reports WHERE id=? AND status='completed'", (rid,)).fetchone()
    if not r: raise HTTPException(404, "Report not found or not completed")
    json_path = r["json_path"]
    if not json_path or not Path(json_path).exists():
        raise HTTPException(400, "Report JSON file not found")
    try:
        report_data = json.loads(Path(json_path).read_text())
    except Exception:
        raise HTTPException(400, "Invalid report data")
    documents = _chunk_report_by_section(report_data)
    rd = report_data if isinstance(report_data, dict) else {}
    return {"tenancy": rd.get("tenancy", "unknown"),
            "regions": rd.get("regions", []),
            "compartments": rd.get("compartments", []),
            "total_chunks": len(documents),
            "chunks": documents}

def _chunk_summary_csv(csv_path: str, tenancy: str, extract_date: str) -> list:
    """Chunk the cis_summary_report.csv into documents with tenancy/date metadata.
    Each row becomes a document with structured content for vector search."""
    import csv as csvmod
    p = Path(csv_path)
    if not p.exists():
        return []
    documents = []
    with open(p, "r", encoding="utf-8") as f:
        rows = list(csvmod.DictReader(f))
    if not rows:
        return []
    # Group rows by section for richer context
    sections: dict = {}
    for row in rows:
        sec = row.get("Section", "Unknown")
        sections.setdefault(sec, []).append(row)
    for sec_name, sec_rows in sections.items():
        lines = []
        for r in sec_rows:
            rec = r.get("Recommendation #", "")
            title = r.get("Title", "")
            compliant = r.get("Compliant", "")
            pct = r.get("Compliance Percentage Per Recommendation", "")
            findings = r.get("Findings", "0")
            total = r.get("Total", "0")
            lines.append(f"Recommendation {rec}: {title} | Status: {compliant} | Compliance: {pct}% | Findings: {findings}/{total}")
        content = (
            f"Tenancy: {tenancy}\n"
            f"Extract Date: {extract_date}\n"
            f"Section: {sec_name}\n"
            f"Total Recommendations: {len(sec_rows)}\n\n"
            + "\n".join(lines)
        )
        documents.append({
            "content": content,
            "section": sec_name,
            "tenancy": tenancy,
            "metadata": json.dumps({"tenancy": tenancy, "extract_date": extract_date, "section": sec_name})
        })
    return documents


# ── CIS Report CSV → ADB Table Mapping ──
_CIS_TABLE_MAP = {
    "Identity_and_Access_Management": "identityandaccess",
    "Networking": "networking",
    "Compute": "computeinstances",
    "Logging_and_Monitoring": "loggingandmonitoring",
    "Storage_Object_Storage": "objectstorage",
    "Storage_Block_Volumes": "storageblockvolume",
    "Storage_File_Storage_Service": "filestorageservice",
    "Asset_Management": "assetmanagement",
}

def _purge_table_by_tenancy(cfg: dict, table_name: str, tenancy: str, extract_date: str = "") -> int:
    """Delete existing embeddings from a table for a specific tenancy (and optionally extract_date).
    Returns number of rows deleted."""
    try:
        conn = _get_adb_connection(cfg)
        cur = conn.cursor()
        if extract_date:
            cur.execute(f"""DELETE FROM "{table_name}" WHERE
                JSON_VALUE(METADATA, '$.tenancy') = :1 AND
                JSON_VALUE(METADATA, '$.extract_date') = :2""", [tenancy, extract_date])
        else:
            cur.execute(f"""DELETE FROM "{table_name}" WHERE
                JSON_VALUE(METADATA, '$.tenancy') = :1""", [tenancy])
        deleted = cur.rowcount
        conn.commit()
        cur.close()
        conn.close()
        if deleted:
            log.info(f"Purged {deleted} rows from {table_name} (tenancy={tenancy}, date={extract_date or 'all'})")
        return deleted
    except Exception as e:
        log.warning(f"Purge failed for {table_name}: {e}")
        return 0


def _resolve_table_for_csv(filename: str) -> str | None:
    """Map a CIS report CSV filename to its ADB vector table."""
    if filename == "cis_summary_report.csv":
        return "summaryreportcsvvector"
    for pattern, table in _CIS_TABLE_MAP.items():
        if pattern in filename:
            return table
    return None


def _chunk_findings_csv(csv_path: str, tenancy: str, extract_date: str, max_chars: int = 8000) -> list:
    """Chunk a CIS findings CSV into documents. Each row becomes one or more documents.
    If a row exceeds max_chars (~6000 tokens), it's split into smaller chunks with
    a context header (tenancy, resource name, ID) repeated in each part."""
    import csv as csvmod, re as _re
    p = Path(csv_path)
    if not p.exists():
        return []
    documents = []
    with open(p, "r", encoding="utf-8") as f:
        rows = list(csvmod.DictReader(f))
    if not rows:
        return []
    skip_cols = {"extract_date", "deep_link", "domain_deeplink", "defined_tags",
                 "freeform_tags", "system_tags", "external_identifier"}
    meta = json.dumps({"tenancy": tenancy, "extract_date": extract_date, "source": p.name})

    for row in rows:
        # Build context header (always repeated in each chunk)
        header_parts = [f"Tenancy: {tenancy}", f"Extract Date: {extract_date}"]
        body_parts = []
        # Identify key fields for the header
        name = row.get("name") or row.get("display_name") or row.get("username") or ""
        rid = row.get("id", "")
        if name:
            header_parts.append(f"Resource: {name}")
        if rid:
            header_parts.append(f"ID: {rid}")

        for col, val in row.items():
            if col.lower() in skip_cols or not val or not val.strip():
                continue
            if col.lower() in ("name", "display_name", "username", "id"):
                continue  # already in header
            # Clean HYPERLINK formulas
            if val.startswith("=HYPERLINK"):
                m = _re.search(r',\s*"([^"]+)"', val)
                val = m.group(1) if m else val
            body_parts.append(f"{col}: {val}")

        header = "\n".join(header_parts)
        body = "\n".join(body_parts)
        full_content = header + "\n" + body

        if len(full_content) <= max_chars:
            if len(full_content) > 50:
                documents.append({"content": full_content, "tenancy": tenancy, "metadata": meta})
        else:
            # Split body into chunks, each prefixed with context header
            chunk_size = max_chars - len(header) - 50  # reserve space for header + part label
            chunks = []
            current = ""
            for line in body_parts:
                if len(current) + len(line) + 2 > chunk_size and current:
                    chunks.append(current)
                    current = line
                else:
                    current = current + "\n" + line if current else line
            if current:
                chunks.append(current)

            for i, chunk in enumerate(chunks):
                part_label = f"(part {i + 1}/{len(chunks)})" if len(chunks) > 1 else ""
                content = f"{header}\n{part_label}\n{chunk}".strip()
                if len(content) > 50:
                    documents.append({"content": content, "tenancy": tenancy, "metadata": meta})

    return documents


@app.post("/api/embeddings/report/{rid}")
async def embed_report(rid: str, req: dict, bg: BackgroundTasks, u=Depends(require("admin","user"))):
    """Auto-embed all CIS report CSVs into their mapped ADB vector tables."""
    vid = req.get("adb_config_id")
    if not vid: raise HTTPException(400, "adb_config_id is required")
    with db() as c:
        r = c.execute("SELECT tenancy_name, config_id FROM reports WHERE id=? AND status='completed'", (rid,)).fetchone()
    if not r: raise HTTPException(404, "Report not found or not completed")

    rdir = REPORTS / rid
    tenancy = r["tenancy_name"] or "unknown"

    # Read extract_date from summary CSV
    import csv as csvmod
    summary_csv = rdir / "cis_summary_report.csv"
    extract_date = ""
    if summary_csv.exists():
        with open(summary_csv, "r", encoding="utf-8") as f:
            first = next(csvmod.DictReader(f), {})
        extract_date = first.get("extract_date", "")

    cfg, gc = _get_adb_and_genai(vid, oci_config_id=r["config_id"] if r["config_id"] else None)

    # Load registered tables for validation
    with db() as c:
        registered = {t["table_name"].lower() for t in
                      c.execute("SELECT table_name FROM adb_vector_tables WHERE adb_config_id=? AND is_active=1", (vid,)).fetchall()}

    # Scan all CSVs and map to tables
    task_id = str(uuid.uuid4())
    table_docs: dict[str, list] = {}
    missing_tables: list[str] = []
    skipped_tables: list[str] = []

    for csv_file in sorted(rdir.glob("cis_*.csv")):
        table = _resolve_table_for_csv(csv_file.name)
        if not table:
            continue
        if table.lower() not in registered:
            if table not in skipped_tables:
                skipped_tables.append(table)
            continue
        if csv_file.name == "cis_summary_report.csv":
            docs = _chunk_summary_csv(str(csv_file), tenancy, extract_date)
        else:
            docs = _chunk_findings_csv(str(csv_file), tenancy, extract_date)
        if docs:
            table_docs.setdefault(table, []).extend(docs)

    if not table_docs:
        if skipped_tables:
            raise HTTPException(400, f"Tabela(s) não registrada(s) no ADB: {', '.join(skipped_tables)}. Registre em Configurações > ADB Vector.")
        raise HTTPException(400, "No CSV files found to embed")

    # Calculate totals for status tracking
    total_docs = sum(len(d) for d in table_docs.values())
    tables_used = list(table_docs.keys())
    _set_embed_status(task_id, {
        "status": "running", "table": ", ".join(tables_used), "tenancy": tenancy,
        "inserted": 0, "total": total_docs,
        "message": f"Embedding {total_docs} documentos em {len(tables_used)} tabelas..."
    })

    # Build queue info: [(table, doc_count), ...]
    table_queue = [(tbl, len(docs)) for tbl, docs in table_docs.items()]

    def _bg_embed_all():
        """Background: embed documents into their respective tables sequentially."""
        import array
        default_model = cfg.get("embedding_model_id", "cohere.embed-v4.0")
        inserted_total = 0
        skipped_total = 0
        processed_total = 0
        errors = []
        for tbl_idx, (tbl, docs) in enumerate(table_docs.items()):
            remaining = table_queue[tbl_idx + 1:] if tbl_idx + 1 < len(table_queue) else []
            _auto_register_table(cfg["id"], tbl)
            purged = _purge_table_by_tenancy(cfg, tbl, tenancy, extract_date)
            if purged:
                _update_embed_status(task_id, {"message": f"Purged {purged} old docs from {tbl}...",
                                               "current_table": tbl, "current_inserted": 0, "current_total": len(docs),
                                               "queue": [{"table": t, "docs": n} for t, n in remaining]})
            emb_model = default_model
            try:
                actual_dim = _get_table_embedding_dim(cfg, tbl)
                if actual_dim and actual_dim in _DIM_TO_MODEL:
                    emb_model = _DIM_TO_MODEL[actual_dim]
            except Exception:
                pass
            current_inserted = 0
            current_skipped = 0
            try:
                conn = _get_adb_connection(cfg)
                cur = conn.cursor()
                for doc in docs:
                    try:
                        content = doc.get("content", "")
                        if not content:
                            skipped_total += 1
                            current_skipped += 1
                            processed_total += 1
                            continue
                        embedding = _embed_text(content, gc, emb_model)
                        vec = array.array('f', [float(x) for x in embedding])
                        metadata = _build_metadata_json(
                            tenancy=doc.get("tenancy", tenancy),
                            section=doc.get("section", ""),
                            report_date=extract_date,
                        )
                        cur.execute(f'INSERT INTO "{tbl}" (ID, TEXT, EMBEDDING, METADATA) VALUES (HEXTORAW(:1), :2, :3, :4)',
                                    [uuid.uuid4().hex.upper(), content, vec, metadata])
                        inserted_total += 1
                        current_inserted += 1
                    except Exception as e:
                        err_str = str(e)
                        if "message" in err_str:
                            import re as _re
                            m = _re.search(r'"message"\s*:\s*"(.*?)"', err_str)
                            log.warning(f"Embed skip in {tbl}: {m.group(1)[:200] if m else err_str[:200]}")
                        else:
                            log.warning(f"Embed skip in {tbl}: {err_str[:200]}")
                        skipped_total += 1
                        current_skipped += 1
                    processed_total += 1
                    _update_embed_status(task_id, {
                        "inserted": inserted_total, "skipped": skipped_total, "processed": processed_total,
                        "current_table": tbl, "current_inserted": current_inserted, "current_skipped": current_skipped,
                        "current_total": len(docs),
                        "queue": [{"table": t, "docs": n} for t, n in remaining],
                        "message": f"{tbl}: {current_inserted}/{len(docs)} — global: {inserted_total}/{total_docs}"
                    })
                conn.commit()
                cur.close()
                conn.close()
                log.info(f"Embedded {current_inserted}/{len(docs)} docs into {tbl} (tenancy={tenancy})")
            except Exception as e:
                log.error(f"Failed to connect/embed to {tbl}: {e}")
                errors.append(f"{tbl}: {str(e)[:100]}")

        msg = f"{inserted_total}/{total_docs} documentos em {len(tables_used)} tabelas ({', '.join(tables_used)})"
        if tenancy: msg += f" — tenancy: {tenancy}"
        if errors: msg += f" | Erros: {'; '.join(errors)}"
        _update_embed_status(task_id, {
            "status": "done" if not errors else "done",
            "inserted": inserted_total, "message": msg
        })
        _audit(u["id"], u["username"], "embed_report_auto", rid, msg)
        _config_log("adb", cfg["id"], cfg.get("config_name"),
                    "success" if not errors else "error", "ingest", msg, u["id"], u["username"])

    _chat_executor.submit(_bg_embed_all)
    msg = f"Embedding iniciado — {total_docs} documentos em {len(tables_used)} tabelas ({', '.join(tables_used)})"
    if skipped_tables:
        msg += f". Ignoradas (não registradas): {', '.join(skipped_tables)}"
    return {
        "ok": True, "task_id": task_id, "message": msg,
        "tables": tables_used, "skipped": skipped_tables, "total_documents": total_docs, "tenancy": tenancy
    }


@app.get("/api/embeddings/status/{task_id}")
async def embedding_status(task_id: str, u=Depends(current_user)):
    """Check embedding task progress."""
    st = _get_embed_status(task_id)
    if not st:
        return {"status": "unknown", "message": "Task not found"}
    return st


@app.post("/api/embeddings/report/{rid}/section")
async def embed_report_section(rid: str, req: dict, bg: BackgroundTasks, u=Depends(require("admin","user"))):
    """Embed all CSV files from a specific report section into the mapped ADB table."""
    import csv as csvmod
    vid = req.get("adb_config_id")
    file_names: list = req.get("file_names", [])
    if not vid:
        # Auto-detect first active ADB
        with db() as c:
            adb = c.execute("SELECT id FROM adb_vector_configs WHERE is_active=1 LIMIT 1").fetchone()
        if not adb: raise HTTPException(400, "No active ADB config found")
        vid = adb["id"]
    if not file_names: raise HTTPException(400, "file_names is required")

    with db() as c:
        r = c.execute("SELECT tenancy_name, config_id FROM reports WHERE id=? AND status='completed'", (rid,)).fetchone()
    if not r: raise HTTPException(404)
    rdir = REPORTS / rid
    tenancy = r["tenancy_name"] or "unknown"

    # Read extract_date
    summary = rdir / "cis_summary_report.csv"
    extract_date = ""
    if summary.exists():
        with open(summary, "r", encoding="utf-8") as f:
            first = next(csvmod.DictReader(f), {})
        extract_date = first.get("extract_date", "")

    cfg, gc = _get_adb_and_genai(vid, oci_config_id=r["config_id"] if r["config_id"] else None)

    # Load registered tables for validation
    with db() as c:
        registered = {t["table_name"].lower() for t in
                      c.execute("SELECT table_name FROM adb_vector_tables WHERE adb_config_id=? AND is_active=1", (vid,)).fetchall()}

    # Group files by target table and validate
    import array
    table_docs: dict[str, list] = {}
    missing_tables: list[str] = []
    for fname in file_names:
        csv_path = rdir / fname
        if not csv_path.exists(): continue
        table = _resolve_table_for_csv(fname)
        if not table: continue
        if table.lower() not in registered:
            if table not in missing_tables:
                missing_tables.append(table)
            continue
        if fname == "cis_summary_report.csv":
            docs = _chunk_summary_csv(str(csv_path), tenancy, extract_date)
        else:
            docs = _chunk_findings_csv(str(csv_path), tenancy, extract_date)
        if docs:
            table_docs.setdefault(table, []).extend(docs)

    if missing_tables and not table_docs:
        raise HTTPException(400, f"Tabela(s) não registrada(s) no ADB: {', '.join(missing_tables)}. Registre em Configurações > ADB Vector.")
    if not table_docs:
        raise HTTPException(400, "No embeddable content found in the selected files")

    total_docs = sum(len(d) for d in table_docs.values())
    tables_used = list(table_docs.keys())
    task_id = str(uuid.uuid4())
    _set_embed_status(task_id, {
        "status": "running", "table": ", ".join(tables_used), "tenancy": tenancy,
        "inserted": 0, "total": total_docs, "message": f"Embedding {total_docs} docs em {', '.join(tables_used)}..."
    })

    def _bg():
        default_model = cfg.get("embedding_model_id", "cohere.embed-v4.0")
        inserted = 0
        skipped = 0
        processed = 0
        for tbl, docs in table_docs.items():
            purged = _purge_table_by_tenancy(cfg, tbl, tenancy, extract_date)
            if purged:
                _update_embed_status(task_id, {"message": f"Purged {purged} old docs from {tbl}..."})
            _auto_register_table(cfg["id"], tbl)
            emb_model = default_model
            try:
                actual_dim = _get_table_embedding_dim(cfg, tbl)
                if actual_dim and actual_dim in _DIM_TO_MODEL:
                    emb_model = _DIM_TO_MODEL[actual_dim]
            except Exception:
                pass
            try:
                conn = _get_adb_connection(cfg)
                cur = conn.cursor()
                for doc in docs:
                    try:
                        content = doc.get("content", "")
                        if not content:
                            skipped += 1
                            processed += 1
                            continue
                        embedding = _embed_text(content, gc, emb_model)
                        vec = array.array('f', [float(x) for x in embedding])
                        metadata = _build_metadata_json(tenancy=doc.get("tenancy", tenancy), section=doc.get("section", ""), report_date=extract_date)
                        cur.execute(f'INSERT INTO "{tbl}" (ID, TEXT, EMBEDDING, METADATA) VALUES (HEXTORAW(:1), :2, :3, :4)',
                                    [uuid.uuid4().hex.upper(), content, vec, metadata])
                        inserted += 1
                    except Exception as e:
                        skipped += 1
                        err_str = str(e)
                        if "message" in err_str:
                            import re as _re
                            m = _re.search(r'"message"\s*:\s*"(.*?)"', err_str)
                            log.warning(f"Embed skip in {tbl}: {m.group(1)[:200] if m else err_str[:200]}")
                        else:
                            log.warning(f"Embed skip in {tbl}: {err_str[:200]}")
                    processed += 1
                    _update_embed_status(task_id, {
                        "inserted": inserted, "skipped": skipped, "processed": processed, "total": total_docs,
                        "message": f"{tbl}: {inserted} OK, {skipped} falhas ({processed}/{total_docs})"
                    })
                conn.commit(); cur.close(); conn.close()
            except Exception as e:
                log.error(f"Embed connection error {tbl}: {e}")
        msg = f"{inserted}/{total_docs} embeddings OK"
        if skipped: msg += f", {skipped} falhas"
        msg += f" em {', '.join(tables_used)} (tenancy: {tenancy})"
        _update_embed_status(task_id, {"status": "done", "inserted": inserted, "skipped": skipped, "processed": processed, "message": msg})
        _audit(u["id"], u["username"], "embed_section", rid, msg)

    _chat_executor.submit(_bg)
    return {"ok": True, "task_id": task_id, "tables": tables_used, "total": total_docs,
            "message": f"Embedding de {total_docs} docs iniciado ({', '.join(tables_used)})"}


@app.post("/api/embeddings/report/{rid}/file/{fid}")
async def embed_report_file(rid: str, fid: str, req: dict, bg: BackgroundTasks, u=Depends(require("admin","user"))):
    """Embed a specific report file (CSV, JSON, TXT, etc.) into ADB vector store."""
    vid = req.get("adb_config_id")
    if not vid: raise HTTPException(400, "adb_config_id is required")
    with db() as c:
        r = c.execute("SELECT tenancy_name, config_id FROM reports WHERE id=? AND status='completed'", (rid,)).fetchone()
        if not r: raise HTTPException(404, "Report not found or not completed")
        f = c.execute("SELECT * FROM report_files WHERE id=? AND report_id=?", (fid, rid)).fetchone()
        if not f: raise HTTPException(404, "File not found")
    p = Path(f["file_path"])
    if not p.exists(): raise HTTPException(404, "File not found on disk")
    fname = f["file_name"].lower()
    allowed = ('.txt', '.csv', '.json', '.md', '.pdf')
    if not any(fname.endswith(ext) for ext in allowed):
        raise HTTPException(400, f"Formatos aceitos para embedding: {', '.join(allowed)}")
    raw = p.read_bytes()
    if fname.endswith('.pdf'):
        content = _extract_pdf_text(raw)
    else:
        content = raw.decode("utf-8", errors="replace")
    if not content.strip(): raise HTTPException(400, "File is empty")
    documents = _chunk_text_file(content, f["file_name"])
    if not documents: raise HTTPException(400, "No content chunks found")
    cfg, gc = _get_adb_and_genai(vid, oci_config_id=r["config_id"] if r["config_id"] else None)
    target_table = req.get("table_name") or None
    tenancy = r["tenancy_name"] or "unknown"
    task_id = str(uuid.uuid4())
    bg.add_task(_ingest_documents_task, cfg, gc, documents, u["id"], u["username"],
                table_name=target_table, tenancy=tenancy, task_id=task_id)
    _audit(u["id"], u["username"], "embed_report_file", f"{rid}/{fid}", f"{f['file_name']}, {len(documents)} chunks, tenancy={tenancy}")
    return {"ok": True, "task_id": task_id, "message": f"Embedding de {f['file_name']} iniciado ({len(documents)} chunks)", "chunks": len(documents)}

def _extract_pdf_text(file_bytes: bytes) -> str:
    """Extract text from a PDF file using PyPDF2 or pdfplumber."""
    try:
        import PyPDF2
        import io
        reader = PyPDF2.PdfReader(io.BytesIO(file_bytes))
        pages = []
        for page in reader.pages:
            text = page.extract_text()
            if text:
                pages.append(text.strip())
        return "\n\n".join(pages)
    except ImportError:
        pass
    try:
        import pdfplumber
        import io
        pages = []
        with pdfplumber.open(io.BytesIO(file_bytes)) as pdf:
            for page in pdf.pages:
                text = page.extract_text()
                if text:
                    pages.append(text.strip())
        return "\n\n".join(pages)
    except ImportError:
        raise HTTPException(400, "PDF support requires PyPDF2 or pdfplumber. Install: pip install PyPDF2")

@app.post("/api/embeddings/upload")
async def embed_upload(adb_config_id: str = Form(...), table_name: str = Form(""), file: UploadFile = File(...), bg: BackgroundTasks = None, u=Depends(require("admin","user"))):
    fname = file.filename.lower()
    allowed = ('.txt', '.pdf', '.csv', '.json', '.md')
    if not any(fname.endswith(ext) for ext in allowed):
        raise HTTPException(400, f"Formatos aceitos: {', '.join(allowed)}")
    await _validate_upload(file, allowed)
    file.file.seek(0)
    raw = await file.read()
    if fname.endswith('.pdf'):
        content = _extract_pdf_text(raw)
    else:
        content = raw.decode("utf-8", errors="replace")
    if not content.strip(): raise HTTPException(400, "File is empty")
    documents = _chunk_text_file(content, file.filename)
    if not documents: raise HTTPException(400, "No content chunks found")
    cfg, gc = _get_adb_and_genai(adb_config_id)
    target_table = table_name.strip() or None
    bg.add_task(_ingest_documents_task, cfg, gc, documents, u["id"], u["username"], table_name=target_table)
    _audit(u["id"], u["username"], "embed_upload", file.filename, f"{len(documents)} chunks")
    return {"ok": True, "message": f"Embedding de {len(documents)} chunks iniciado", "chunks": len(documents), "filename": file.filename}

def _extract_text_from_html(html: str) -> str:
    """Extract readable text from HTML, stripping tags and scripts."""
    import re as _re
    text = _re.sub(r'<script[^>]*>[\s\S]*?</script>', ' ', html, flags=_re.IGNORECASE)
    text = _re.sub(r'<style[^>]*>[\s\S]*?</style>', ' ', text, flags=_re.IGNORECASE)
    text = _re.sub(r'<[^>]+>', ' ', text)
    text = _re.sub(r'&[a-zA-Z]+;', ' ', text)
    text = _re.sub(r'&#\d+;', ' ', text)
    text = _re.sub(r'\s+', ' ', text).strip()
    return text

@app.post("/api/embeddings/upload-url")
async def embed_upload_url(
    adb_config_id: str = Form(...),
    table_name: str = Form(""),
    url: str = Form(...),
    bg: BackgroundTasks = None,
    u=Depends(require("admin", "user"))
):
    import requests as req
    url = url.strip()
    if not url.startswith(("http://", "https://")):
        raise HTTPException(400, "URL inválida — deve começar com http:// ou https://")
    try:
        resp = req.get(url, timeout=30, headers={"User-Agent": "Mozilla/5.0 AI-Agent/1.0"})
        resp.raise_for_status()
    except Exception as e:
        raise HTTPException(400, f"Erro ao acessar URL: {str(e)[:300]}")
    ct = resp.headers.get("content-type", "")
    if "pdf" in ct:
        content = _extract_pdf_text(resp.content)
    elif "html" in ct or "text" in ct:
        content = _extract_text_from_html(resp.text)
    else:
        content = resp.text
    if not content or not content.strip():
        raise HTTPException(400, "Nenhum conteúdo extraído da URL")
    documents = _chunk_text_file(content, url)
    if not documents:
        raise HTTPException(400, "Nenhum chunk gerado do conteúdo")
    cfg, gc = _get_adb_and_genai(adb_config_id)
    target_table = table_name.strip() or None
    bg.add_task(_ingest_documents_task, cfg, gc, documents, u["id"], u["username"], table_name=target_table)
    _audit(u["id"], u["username"], "embed_url", url, f"{len(documents)} chunks")
    return {"ok": True, "message": f"Embedding de {len(documents)} chunks iniciado", "chunks": len(documents), "url": url}

class ConsultQuery(BaseModel):
    query: str
    table_name: str = ""
    top_k: int = 10

@app.post("/api/embeddings/consult")
async def consult_embeddings(req: ConsultQuery, u=Depends(current_user)):
    """Query embeddings via vector search + GenAI to get a formatted answer."""
    if not req.query.strip():
        raise HTTPException(400, "Query não pode ser vazia")
    adb_configs = _get_active_adb_configs(u["id"])
    if not adb_configs:
        raise HTTPException(400, "Nenhuma conexão ADB ativa configurada")
    # Collect results from all active ADB configs + tables
    all_docs = []
    for adb_cfg in adb_configs:
        try:
            emb_genai = _resolve_embed_config(oci_config_id=adb_cfg.get("oci_config_id"))
        except Exception as e:
            log.warning(f"Consult: resolve config failed for {adb_cfg['id']}: {e}")
            continue
        tables = _get_tables_for_config(adb_cfg["id"], active_only=True)
        if req.table_name:
            tables = [t for t in tables if t["table_name"] == req.table_name]
        # Group tables by embedding dimension and generate one query embedding per dimension
        embeddings_cache = {}  # dim -> query_embedding
        for tbl in tables:
            tbl_name = tbl["table_name"]
            try:
                dim = _get_table_embedding_dim(adb_cfg, tbl_name)
                if not dim:
                    log.warning(f"Consult: table {tbl_name} is empty or has no embeddings")
                    continue
                if dim not in embeddings_cache:
                    model = _DIM_TO_MODEL.get(dim, adb_cfg.get("embedding_model_id", ""))
                    if not model:
                        log.warning(f"Consult: no model for dim={dim} on {tbl_name}")
                        continue
                    embeddings_cache[dim] = _embed_text(req.query, emb_genai, model)
                    log.info(f"Consult: embedded query for dim={dim} using {model}")
                query_embedding = embeddings_cache[dim]
                docs = _vector_search(adb_cfg, query_embedding, top_k=req.top_k, table_name=tbl_name)
                for d in docs:
                    d["source"] = tbl_name
                all_docs.extend(docs)
            except Exception as e:
                log.warning(f"Consult: failed on {tbl_name}: {type(e).__name__}: {str(e)[:200]}")
    if not all_docs:
        return {"answer": "Nenhum resultado encontrado nas bases vetoriais.", "documents": [], "total": 0}
    # Sort by distance and take top results
    all_docs.sort(key=lambda d: d.get("distance", 999))
    top_docs = all_docs[:req.top_k]
    # Build context and call GenAI
    rag_context = _build_rag_context(top_docs)
    augmented = RAG_CONTEXT_TEMPLATE.format(context=rag_context, question=req.query)
    # Get GenAI config for answering — try saved config first, then auto-resolve from OCI
    gc = None
    with db() as c:
        gc_row = c.execute("SELECT * FROM genai_configs WHERE is_default=1 ORDER BY created_at DESC").fetchone()
        if not gc_row:
            gc_row = c.execute("SELECT * FROM genai_configs ORDER BY created_at DESC").fetchone()
    if gc_row:
        gc = dict(gc_row)
    else:
        # Auto-resolve: build GenAI config from OCI credentials + default model
        try:
            resolved = _resolve_embed_config()
            gc = {
                "oci_config_id": resolved["oci_config_id"],
                "endpoint": resolved.get("endpoint", f"https://inference.generativeai.{resolved.get('genai_region','us-ashburn-1')}.oci.oraclecloud.com"),
                "compartment_id": resolved.get("compartment_id", ""),
                "genai_region": resolved.get("genai_region", "us-ashburn-1"),
                "model_id": "openai.gpt-4.1",
                "model_ocid": "",
                "serving_type": "ON_DEMAND",
                "temperature": 0.3,
                "max_tokens": 4000,
                "top_p": 0.9,
                "top_k": 1,
                "frequency_penalty": 0,
                "presence_penalty": 0,
            }
            log.info(f"Consult: auto-resolved GenAI config from OCI, model=openai.gpt-4.1")
        except Exception as e:
            log.warning(f"Consult: no GenAI config available: {e}")
            doc_list = [{"content": d.get("content", "")[:500], "source": d.get("source", ""), "distance": round(d.get("distance", 0), 4), "metadata": d.get("metadata", "")} for d in top_docs]
            parts = []
            for i, d in enumerate(top_docs, 1):
                content = d.get("content", "")
                if len(content) > 800: content = content[:800] + "..."
                parts.append(f"**Documento {i}** — `{d.get('source', '?')}` (distância: {d.get('distance', 0):.4f})\n\n{content}")
            return {"answer": "\n\n---\n\n".join(parts), "documents": doc_list, "total": len(all_docs)}
    try:
        gc["system_prompt"] = CONSULT_SYSTEM_PROMPT
        answer, _, _ = _call_genai(gc, augmented)
    except Exception as e:
        log.error(f"Consult GenAI error: {e}")
        answer = f"Erro ao consultar GenAI: {str(e)[:300]}"
    doc_list = [{"content": d.get("content", "")[:500], "source": d.get("source", ""), "distance": round(d.get("distance", 0), 4), "metadata": d.get("metadata", "")} for d in top_docs]
    return {"answer": answer, "documents": doc_list, "total": len(all_docs)}

@app.get("/api/embeddings/{vid}/list")
async def list_embeddings(vid: str, table_name: str = Query(""), limit: int = Query(50), offset: int = Query(0), u=Depends(current_user)):
    with db() as c:
        cfg = c.execute("SELECT * FROM adb_vector_configs WHERE id=?", (vid,)).fetchone()
    if not cfg: raise HTTPException(404)
    try:
        conn = _get_adb_connection(dict(cfg))
        cur = conn.cursor()
        table_name = table_name.strip() or cfg["table_name"]
        if not table_name: raise HTTPException(400, "Nenhuma tabela selecionada")
        cur.execute(f'SELECT COUNT(*) FROM "{table_name}"')
        total = cur.fetchone()[0]
        cur.execute(f"""
            SELECT ID, METADATA FROM "{table_name}"
            OFFSET :1 ROWS FETCH NEXT :2 ROWS ONLY
        """, [offset, limit])
        rows = []
        for row in cur:
            rid = row[0].hex() if isinstance(row[0], bytes) else str(row[0])
            meta = row[1]
            if hasattr(meta, 'read'): meta = meta.read()
            rows.append({"id": rid, "metadata": meta})
        cur.close(); conn.close()
        return {"total": total, "offset": offset, "limit": limit, "documents": rows}
    except Exception as e:
        raise HTTPException(500, f"Erro ao listar embeddings: {str(e)[:500]}")

@app.delete("/api/embeddings/{vid}/{doc_id}")
async def delete_embedding(vid: str, doc_id: str, table_name: str = Query(""), u=Depends(require("admin","user"))):
    with db() as c:
        cfg = c.execute("SELECT * FROM adb_vector_configs WHERE id=?", (vid,)).fetchone()
    if not cfg: raise HTTPException(404)
    try:
        conn = _get_adb_connection(dict(cfg))
        cur = conn.cursor()
        table_name = table_name.strip() or cfg["table_name"]
        if not table_name: raise HTTPException(400, "Nenhuma tabela selecionada")
        cur.execute(f'DELETE FROM "{table_name}" WHERE ID = :1', [doc_id])
        conn.commit()
        cur.close(); conn.close()
        return {"ok": True}
    except Exception as e:
        raise HTTPException(500, f"Erro ao deletar: {str(e)[:500]}")

@app.post("/api/embeddings/{vid}/purge")
async def purge_embeddings(vid: str, req: dict, u=Depends(require("admin","user"))):
    """Delete old embeddings from a table, optionally filtered by tenancy."""
    table_name = req.get("table_name", "").strip()
    tenancy = req.get("tenancy", "").strip()
    if not table_name: raise HTTPException(400, "table_name é obrigatório")
    with db() as c:
        cfg = c.execute("SELECT * FROM adb_vector_configs WHERE id=?", (vid,)).fetchone()
    if not cfg: raise HTTPException(404)
    try:
        conn = _get_adb_connection(dict(cfg))
        cur = conn.cursor()
        if tenancy:
            cur.execute(f'SELECT COUNT(*) FROM "{table_name}" WHERE METADATA LIKE :1',
                        [f'%"tenancy":"{tenancy}"%'])
            count = cur.fetchone()[0]
            cur.execute(f'DELETE FROM "{table_name}" WHERE METADATA LIKE :1',
                        [f'%"tenancy":"{tenancy}"%'])
        else:
            cur.execute(f'SELECT COUNT(*) FROM "{table_name}"')
            count = cur.fetchone()[0]
            cur.execute(f'DELETE FROM "{table_name}"')
        conn.commit()
        cur.close(); conn.close()
        _audit(u["id"], u["username"], "purge_embeddings", vid, f"table={table_name}, tenancy={tenancy or 'ALL'}, deleted={count}")
        return {"ok": True, "deleted": count, "table": table_name, "tenancy": tenancy or "ALL"}
    except Exception as e:
        raise HTTPException(500, f"Erro ao limpar: {str(e)[:500]}")

# ── Reports ───────────────────────────────────────────────────────────────────

def _classify_report_file(fname: str) -> str:
    """Classify a report file into a category based on its filename."""
    fl = fname.lower()
    if "summary_report" in fl: return "summary"
    if "error_report" in fl or "error" in fl and fl.endswith(".csv"): return "error"
    if fl.startswith("obp_") and "findings" in fl: return "obp_finding"
    if fl.startswith("obp_") and "best_practices" in fl: return "obp_best_practice"
    if fl.startswith("obp_"): return "obp_finding"
    if fl.startswith("raw_data_"): return "raw_data"
    if fl.startswith("cis_"): return "cis_finding"
    if "consolidated_report" in fl: return "consolidated"
    if fl.endswith(".png"): return "diagram"
    return "other"

@app.post("/api/reports/run")
async def run_report(req: RunReportReq, bg: BackgroundTasks, u=Depends(require("admin","user"))):
    if req.level not in (1, 2): raise HTTPException(400, "Level must be 1 or 2")
    with db() as c:
        cfg = c.execute("SELECT * FROM oci_configs WHERE id=?",(req.config_id,)).fetchone()
        if not cfg: raise HTTPException(404, "Config não encontrada")
        rid = str(uuid.uuid4())
        c.execute("INSERT INTO reports (id,user_id,tenancy_name,config_id,level,obp_checks,raw_data,redact_output,status) VALUES (?,?,?,?,?,?,?,?,?)",
                  (rid, u["id"], cfg["tenancy_name"], req.config_id, req.level, int(req.obp), int(req.raw), int(req.redact_output), "running"))
    bg.add_task(_exec_report, rid, dict(cfg), req.regions, req.level, req.obp, req.raw, req.redact_output)
    _audit(u["id"], u["username"], "run_report", rid)
    return {"report_id": rid, "status": "running"}

async def _exec_report(rid, cfg, regions, level=2, obp=False, raw=False, redact_output=False):
    rdir = REPORTS / rid; rdir.mkdir(parents=True, exist_ok=True)
    config_path = str(OCI_DIR / cfg["id"] / "config")
    try:
        cmd = ["python3", "-u", "/app/cis_reports.py",
               "-c", config_path,
               "--report-directory", str(rdir),
               "--level", str(level),
               "--print-to-screen", "True",
               "--report-summary-json"]
        if regions: cmd += ["--regions", ",".join(regions)]
        if obp: cmd.append("--obp")
        if raw: cmd.append("--raw")
        if redact_output: cmd.append("--redact-output")
        proc = await asyncio.create_subprocess_exec(*cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE)
        _running_reports[rid] = proc
        with db() as c:
            c.execute("UPDATE reports SET worker_pid=? WHERE id=?", (proc.pid, rid))
        progress_lines = []
        try:
            while True:
                line = await proc.stdout.readline()
                if not line:
                    break
                text = line.decode(errors="replace").strip()
                if text:
                    progress_lines.append(text)
                    with db() as c:
                        c.execute("UPDATE reports SET progress=? WHERE id=?",
                                  ("\n".join(progress_lines[-50:]), rid))
            await proc.wait()
        finally:
            _running_reports.pop(rid, None)
        stderr_data = await proc.stderr.read()
        # Check if cancelled
        with db() as c:
            cur_status = c.execute("SELECT status FROM reports WHERE id=?", (rid,)).fetchone()
        if cur_status and cur_status["status"] == "cancelled":
            return
        if proc.returncode == 0:
            # Scan output directory for all generated files
            html_path = None; json_path = None
            with db() as c:
                for fpath in rdir.iterdir():
                    if fpath.is_file():
                        fname = fpath.name
                        ftype = fpath.suffix.lstrip(".")
                        category = _classify_report_file(fname)
                        fsize = fpath.stat().st_size
                        c.execute("INSERT INTO report_files (id,report_id,file_name,file_path,file_type,file_category,file_size) VALUES (?,?,?,?,?,?,?)",
                                  (str(uuid.uuid4()), rid, fname, str(fpath), ftype, category, fsize))
                        if "summary_report" in fname and fname.endswith(".html"):
                            html_path = str(fpath)
                        elif "summary_report" in fname and fname.endswith(".json"):
                            json_path = str(fpath)
                c.execute("UPDATE reports SET status='completed',progress=?,html_path=?,json_path=?,completed_at=datetime('now') WHERE id=?",
                          ("\n".join(progress_lines), html_path, json_path, rid))
            _config_log("oci", cfg["id"], cfg["tenancy_name"], "success", "report", f"Report completed: {rid}")
        else:
            err = (stderr_data.decode(errors="replace") if stderr_data else "Unknown")[:2000]
            with db() as c:
                c.execute("UPDATE reports SET status='failed',progress=?,error_msg=?,completed_at=datetime('now') WHERE id=?",
                          ("\n".join(progress_lines), err, rid))
            _config_log("oci", cfg["id"], cfg["tenancy_name"], "error", "report", err)
    except Exception as e:
        _running_reports.pop(rid, None)
        with db() as c:
            c.execute("UPDATE reports SET status='failed',error_msg=?,completed_at=datetime('now') WHERE id=?", (str(e)[:2000], rid))
        _config_log("oci", cfg["id"], cfg["tenancy_name"], "error", "report", str(e)[:2000])

@app.get("/api/reports")
async def list_reports(skip: int = Query(0, ge=0), limit: int = Query(50, ge=1, le=200), u=Depends(current_user)):
    with db() as c:
        q = "SELECT id,user_id,tenancy_name,status,progress,level,obp_checks,raw_data,redact_output,created_at,completed_at,error_msg FROM reports"
        rows = c.execute(q+" ORDER BY created_at DESC LIMIT ? OFFSET ?", (limit, skip)).fetchall() if u["role"]=="admin" \
            else c.execute(q+" WHERE user_id=? ORDER BY created_at DESC LIMIT ? OFFSET ?",(u["id"], limit, skip)).fetchall()
    return [dict(r) for r in rows]

@app.get("/api/reports/{rid}/progress")
async def get_report_progress(rid: str, u=Depends(current_user)):
    with db() as c:
        r = c.execute("SELECT status,progress,created_at,completed_at,error_msg FROM reports WHERE id=?", (rid,)).fetchone()
    if not r: raise HTTPException(404)
    return dict(r)

@app.post("/api/reports/{rid}/cancel")
async def cancel_report(rid: str, u=Depends(require("admin", "user"))):
    with db() as c:
        r = c.execute("SELECT status, worker_pid FROM reports WHERE id=?", (rid,)).fetchone()
    if not r: raise HTTPException(404)
    if r["status"] != "running":
        raise HTTPException(400, "Report is not running")
    proc = _running_reports.get(rid)
    if proc:
        try:
            proc.terminate()
            try:
                await asyncio.wait_for(proc.wait(), timeout=5)
            except asyncio.TimeoutError:
                proc.kill()
        except ProcessLookupError:
            pass
        _running_reports.pop(rid, None)
    elif r["worker_pid"]:
        import signal
        try:
            os.kill(r["worker_pid"], signal.SIGTERM)
        except (ProcessLookupError, OSError):
            pass
    with db() as c:
        c.execute("UPDATE reports SET status='cancelled',error_msg='Cancelled by user',completed_at=datetime('now') WHERE id=?", (rid,))
    _audit(u["id"], u["username"], "cancel_report", rid)
    return {"ok": True, "status": "cancelled"}

@app.get("/api/reports/{rid}")
async def get_report(rid, u=Depends(current_user)):
    with db() as c: r=c.execute("SELECT * FROM reports WHERE id=?",(rid,)).fetchone()
    if not r: raise HTTPException(404)
    if u["role"]!="admin" and r["user_id"]!=u["id"]: raise HTTPException(403)
    return dict(r)

@app.delete("/api/reports/{rid}")
async def delete_report(rid: str, u=Depends(current_user)):
    with db() as c:
        r = c.execute("SELECT id, user_id, status, json_path, html_path FROM reports WHERE id=?", (rid,)).fetchone()
        if not r: raise HTTPException(404)
        if u["role"] != "admin" and r["user_id"] != u["id"]: raise HTTPException(403)
        if r["status"] == "running": raise HTTPException(400, "Cannot delete a running report")
        # Remove associated files
        for path_col in ("json_path", "html_path"):
            p = r[path_col]
            if p and Path(p).exists():
                try: Path(p).unlink()
                except OSError: pass
        c.execute("DELETE FROM reports WHERE id=?", (rid,))
    _audit(u["id"], u["username"], "delete_report", rid)
    return {"ok": True}

@app.get("/api/reports/{rid}/summary")
async def report_summary(rid: str, u=Depends(current_user)):
    with db() as c:
        r = c.execute("SELECT user_id,json_path,tenancy_name,level,created_at FROM reports WHERE id=? AND status='completed'", (rid,)).fetchone()
    if not r: raise HTTPException(404)
    if u["role"] != "admin" and r["user_id"] != u["id"]: raise HTTPException(403)
    jp = r["json_path"]
    if not jp or not Path(jp).exists():
        raise HTTPException(400, "Report JSON not found")
    data = json.loads(Path(jp).read_text())
    total = passed = failed = 0
    sections = {}
    total_findings = 0
    total_compliant = 0
    # Format: list of checks with Compliant=Yes/No, Section, Findings, Compliant Items, Total
    checks = data if isinstance(data, list) else data.get("findings", [])
    if isinstance(checks, dict):
        checks = list(checks.values())
    for check in checks:
        total += 1
        compliant = str(check.get("Compliant", check.get("status", ""))).strip().lower()
        is_pass = compliant in ("yes", "pass")
        if is_pass:
            passed += 1
        else:
            failed += 1
        fi = str(check.get("Findings", "0")).strip()
        ci = str(check.get("Compliant Items", "0")).strip()
        total_findings += int(fi) if fi.isdigit() else 0
        total_compliant += int(ci) if ci.isdigit() else 0
        sec = check.get("Section", check.get("section", "Other"))
        s = sections.setdefault(sec, {"passed": 0, "failed": 0, "total": 0})
        s["total"] += 1
        if is_pass:
            s["passed"] += 1
        else:
            s["failed"] += 1
    score = round((passed / total * 100), 1) if total else 0
    return {
        "tenancy": data.get("tenancy", r["tenancy_name"]) if isinstance(data, dict) else r["tenancy_name"],
        "level": r["level"] or 2,
        "regions": data.get("regions", []) if isinstance(data, dict) else [],
        "generated_at": r["created_at"],
        "total": total, "passed": passed, "failed": failed,
        "total_findings": total_findings, "total_compliant": total_compliant,
        "score": score,
        "sections": sections
    }

@app.get("/api/reports/{rid}/files")
async def list_report_files(rid: str, u=Depends(current_user)):
    with db() as c:
        r = c.execute("SELECT user_id FROM reports WHERE id=?", (rid,)).fetchone()
        if not r: raise HTTPException(404)
        if u["role"] != "admin" and r["user_id"] != u["id"]: raise HTTPException(403)
        files = c.execute(
            "SELECT id,file_name,file_type,file_category,file_size FROM report_files WHERE report_id=? ORDER BY file_category,file_name",
            (rid,)
        ).fetchall()
    return [dict(f) for f in files]

@app.get("/api/reports/{rid}/files/{fid}/download")
async def download_report_file(rid: str, fid: str, token: str = Query(None), cred: HTTPAuthorizationCredentials = Depends(HTTPBearer(auto_error=False))):
    u = _user_from_token(token) if token else (await current_user(cred) if cred else None)
    if not u: raise HTTPException(401, "Not authenticated")
    with db() as c:
        r = c.execute("SELECT user_id FROM reports WHERE id=?", (rid,)).fetchone()
        if not r: raise HTTPException(404)
        if u["role"] != "admin" and r["user_id"] != u["id"]: raise HTTPException(403)
        f = c.execute("SELECT * FROM report_files WHERE id=? AND report_id=?", (fid, rid)).fetchone()
        if not f: raise HTTPException(404)
    p = Path(f["file_path"])
    if not p.exists(): raise HTTPException(404, "File not found on disk")
    return FileResponse(p, filename=f["file_name"])

@app.api_route("/api/reports/{rid}/html", methods=["GET", "HEAD"])
async def report_html(rid):
    with db() as c: r=c.execute("SELECT html_path FROM reports WHERE id=?",(rid,)).fetchone()
    if not r or not r["html_path"] or not Path(r["html_path"]).exists(): raise HTTPException(404)
    return FileResponse(r["html_path"], media_type="text/html")


# ═══════════════════════════════════════════════════════════════════════
#  LAD A-Team CIS Compliance Report
# ═══════════════════════════════════════════════════════════════════════

def _extract_section(text: str, section_name: str) -> str:
    """Extract a named section from a CIS Benchmark chunk (Description, Remediation, etc.)."""
    import re as _re
    pattern = _re.compile(r'\n' + _re.escape(section_name) + r'[:\s]*\n', _re.IGNORECASE)
    match = pattern.search(text)
    if not match:
        return ""
    start = match.end()
    end_match = _re.search(
        r'\n(?:Description|Rationale|Audit|Remediation|Additional Information|CIS Controls|Controls\s*\nVersion|References|Default Value|Impact|Recommendation|Profile Applicability)[:\s]*\n',
        text[start:], _re.IGNORECASE
    )
    if end_match:
        return text[start:start + end_match.start()].strip()
    return text[start:].strip()


def _extract_remediation_section(text: str) -> str:
    """Extract only the Remediation section."""
    return _extract_section(text, "Remediation")


def _extract_audit_section(text: str) -> str:
    """Extract the Audit section (verification steps)."""
    return _extract_section(text, "Audit")


def _extract_rationale_section(text: str) -> str:
    """Extract the Rationale section (why this matters)."""
    return _extract_section(text, "Rationale")


def _extract_description_section(text: str) -> str:
    """Extract the Description section (what this CIS finding is about)."""
    return _extract_section(text, "Description")


def _format_remediation_html(text: str) -> str:
    """Format remediation text with code snippets and proper indentation."""
    import re as _re
    if not text:
        return ""

    def esc(v):
        return (v or "").replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;").replace('"', "&quot;")

    lines = text.split('\n')
    html_parts = []
    in_code = False
    code_buf = []

    for line in lines:
        stripped = line.strip()
        # Detect CLI commands and policy statements
        is_code = (
            stripped.startswith('oci ') or
            stripped.startswith('Allow ') or
            stripped.startswith('Define ') or
            stripped.startswith('Endorse ') or
            stripped.startswith('Admit ') or
            stripped.startswith('terraform ') or
            stripped.startswith('curl ') or
            stripped.startswith('openssl ') or
            stripped.startswith('ssh ') or
            stripped.startswith('python') or
            stripped.startswith('$ ') or
            stripped.startswith('# ') and not stripped.startswith('# ') and len(stripped) < 5 or
            (in_code and stripped and not stripped[0].isupper() and not stripped.startswith('http'))
        )

        if is_code:
            if not in_code:
                in_code = True
                code_buf = []
            code_buf.append(stripped)
        else:
            if in_code and code_buf:
                html_parts.append('<pre class="code-snippet">' + esc('\n'.join(code_buf)) + '</pre>')
                code_buf = []
                in_code = False
            if stripped:
                # Numbered steps
                step_match = _re.match(r'^(\d+)\.\s+(.+)', stripped)
                if step_match:
                    html_parts.append(f'<div class="rem-step"><span class="step-num">{step_match.group(1)}.</span> {esc(step_match.group(2))}</div>')
                else:
                    html_parts.append(f'<p class="rem-text">{esc(stripped)}</p>')

    # Flush remaining code
    if code_buf:
        html_parts.append('<pre class="code-snippet">' + esc('\n'.join(code_buf)) + '</pre>')

    return '\n'.join(html_parts)


def _search_cis_remediation(title: str, rec_num: str, user_id: str) -> dict:
    """Search CIS Recommendations in vector DB. Returns {'description': str, 'remediation': str}."""
    try:
        with db() as c:
            adb_cfgs = c.execute(
                "SELECT * FROM adb_vector_configs WHERE user_id=? AND is_active=1", (user_id,)
            ).fetchall()
        if not adb_cfgs:
            return {"description": "", "remediation": ""}
        query = f"Recommendation: {rec_num} {title} Remediation Audit From Console From Command Line"
        for adb_cfg in adb_cfgs:
            adb_cfg = dict(adb_cfg)
            try:
                # Resolve embedding config: use the ADB's own embedding model
                emb_model = adb_cfg.get("embedding_model_id", "cohere.embed-v4.0")

                tables = _get_tables_for_config(adb_cfg["id"], active_only=True)
                if not tables:
                    continue

                # Resolve GenAI config for embedding generation
                genai_linked = None
                if adb_cfg.get("genai_config_id"):
                    with db() as c:
                        row = c.execute("SELECT * FROM genai_configs WHERE id=?", (adb_cfg["genai_config_id"],)).fetchone()
                        if row: genai_linked = dict(row)
                emb_genai = _resolve_embed_config(genai_cfg=genai_linked)

                # Search across cisrecom + section-specific tables
                all_docs = []
                search_tables = [t["table_name"] for t in tables if "cisrecom" in t["table_name"].lower()]
                if not search_tables:
                    search_tables = [t["table_name"] for t in tables]

                for tbl_name in search_tables:
                    try:
                        # Detect dimension per table
                        tbl_model = emb_model
                        try:
                            actual_dim = _get_table_embedding_dim(adb_cfg, tbl_name)
                            if actual_dim and actual_dim in _DIM_TO_MODEL:
                                tbl_model = _DIM_TO_MODEL[actual_dim]
                        except Exception as e:
                            log.warning(f"Failed to detect embedding dimension for table '{tbl_name}': {e}")
                        query_embedding = _embed_text(query, emb_genai, tbl_model)
                        docs = _vector_search(adb_cfg, query_embedding, top_k=10, table_name=tbl_name)
                        if docs:
                            all_docs.extend(docs)
                    except Exception as e:
                        log.warning(f"Vector search failed for table '{tbl_name}': {e}")

                if all_docs:
                    import re as _re
                    all_docs.sort(key=lambda d: d.get("distance", 999))
                    # STRICT FILTER: only keep chunks that mention THIS exact recommendation number
                    exact_pattern = _re.compile(
                        r'(?:Recommendation[:\s]*' + _re.escape(rec_num) + r'|^' + _re.escape(rec_num) + r')\s',
                        _re.MULTILINE | _re.IGNORECASE
                    )
                    matched = [d["content"] for d in all_docs
                               if d.get("content") and len(d["content"]) > 500
                               and exact_pattern.search(d["content"])]
                    if matched:
                        best = matched[0]
                        desc = _extract_description_section(best)
                        rationale = _extract_rationale_section(best)
                        rem = _extract_remediation_section(best)
                        audit = _extract_audit_section(best)
                        # Try additional chunks for fuller content
                        for extra in matched[1:3]:
                            if not rem:
                                rem = _extract_remediation_section(extra)
                            elif len(rem) < 200:
                                extra_rem = _extract_remediation_section(extra)
                                if extra_rem and extra_rem not in rem:
                                    rem = rem.rstrip() + "\n\n" + extra_rem
                            if not audit:
                                audit = _extract_audit_section(extra)
                            if not desc:
                                desc = _extract_description_section(extra)
                            if not rationale:
                                rationale = _extract_rationale_section(extra)
                        # Combine remediation + audit for complete guidance
                        full_rem = rem or ""
                        if audit and len(audit) > 50:
                            full_rem = (full_rem + "\n\nAudit / Verification:\n" + audit).strip() if full_rem else audit
                        return {"description": desc, "rationale": rationale, "remediation": full_rem}
            except Exception as e:
                log.warning(f"CIS remediation search failed for {adb_cfg.get('config_name','?')}: {e}")
        return {"description": "", "remediation": ""}
    except Exception as e:
        log.warning(f"CIS remediation search error: {e}")
        return {"description": "", "remediation": ""}


def _build_findings_table(csv_path: str, max_rows: int = 10) -> str:
    """Read a findings CSV and return a compact HTML table with up to max_rows."""
    import csv as csvmod, re as _re
    p = Path(csv_path) if isinstance(csv_path, str) else csv_path
    if not p.exists():
        return ""
    try:
        with open(p, "r", encoding="utf-8") as f:
            all_rows = list(csvmod.DictReader(f))
        if not all_rows:
            return ""

        def esc(v): return (v or "").replace("&","&amp;").replace("<","&lt;").replace(">","&gt;")

        def fmt(v):
            v = (v or "").strip()
            if not v: return "—"
            if v.startswith("=HYPERLINK"):
                m = _re.search(r',\s*"([^"]+)"', v)
                return m.group(1) if m else "—"
            if v.startswith("ocid1.") and len(v) > 30:
                return "..." + v[-12:]
            if len(v) > 50:
                return v[:47] + "..."
            return v

        # Priority columns: pick the most useful ones, max 4 columns
        priority = ["name", "display_name", "username", "lifecycle_state", "status",
                    "is_mfa_activated", "domain_name", "description", "email",
                    "key_id", "age", "region", "cidr_block", "protocol", "port_range",
                    "visibility", "encryption", "versioning", "type", "severity"]
        all_cols = list(all_rows[0].keys())
        skip = {"extract_date", "deep_link", "domain_deeplink", "defined_tags", "compartment_id",
                "domain_id", "external_identifier", "freeform_tags", "system_tags", "id",
                "time_created", "email_verified", "is_federated", "groups",
                "api_keys", "auth_tokens", "customer_secret_keys", "database_passwords",
                "can_use_api_keys", "can_use_auth_tokens", "can_use_console_password",
                "can_use_customer_secret_keys", "can_use_db_credentials",
                "can_use_o_auth2_client_credentials", "can_use_smtp_credentials",
                "last_successful_login_date"}
        avail = [c for c in all_cols if c.lower() not in skip]
        # Pick up to 4 columns in priority order
        display = []
        for p_col in priority:
            for a_col in avail:
                if a_col.lower() == p_col and a_col not in display:
                    display.append(a_col)
                    break
            if len(display) >= 4:
                break
        if not display:
            display = avail[:4]

        # Pretty column names
        def col_label(c):
            return c.replace("_", " ").title()

        total = len(all_rows)
        show = all_rows[:max_rows]
        header = "".join(f'<th>{esc(col_label(c))}</th>' for c in display)
        rows_html = ""
        for row in show:
            cells = "".join(f'<td>{esc(fmt(row.get(c, "")))}</td>' for c in display)
            rows_html += f"<tr>{cells}</tr>"

        note = f'<div class="findings-note">{total} non-compliant resource{"s" if total != 1 else ""}.'
        if total > max_rows:
            note += f' Showing first {max_rows} — see CSV for complete list.'
        note += '</div>'

        return f'<div class="findings-table-wrap"><table class="findings-table"><thead><tr>{header}</tr></thead><tbody>{rows_html}</tbody></table>{note}</div>'
    except Exception as e:
        log.warning(f"Failed to build findings table from {p}: {e}")
        return ""


def _build_compliance_html(filtered_rows: list, tenancy_name: str, extract_date: str, sections_data: dict, rid: str = "", file_id_map: dict = None, file_path_map: dict = None) -> str:
    """Build the full LAD A-Team CIS Compliance Report HTML."""
    import re as _re
    from datetime import datetime as _dt

    now = _dt.utcnow()
    months_pt = ["Janeiro","Fevereiro","Março","Abril","Maio","Junho","Julho","Agosto","Setembro","Outubro","Novembro","Dezembro"]
    month_year = f"{months_pt[now.month - 1]}, {now.year}"

    def esc(v): return (v or "").replace("&","&amp;").replace("<","&lt;").replace(">","&gt;").replace('"',"&quot;")
    def slug(s): return _re.sub(r"[^\w-]","", _re.sub(r"\s+","-",(s or "").strip().lower()))

    total_all = len(filtered_rows)
    total_passed = sum(1 for r in filtered_rows if r["__compliant"])
    total_failed = total_all - total_passed
    pct_global = round(total_passed / total_all * 100) if total_all else 0

    # ── Domains table rows ──
    domains_rows = ""
    for sec_name, sd in sections_data.items():
        domains_rows += f'<tr><td class="dom">{esc(sec_name)}</td><td class="num">{sd["total"]}</td><td class="num fail">{sd["failed"]}</td><td class="num pass">{sd["passed"]}</td></tr>'

    # ── CIS Benchmark Summary table ──
    summary_rows = ""
    current_section = ""
    for r in filtered_rows:
        sec = r["Section"]
        rec = r.get("Recommendation #", "")
        title = r.get("Title", "")
        is_compliant = r["__compliant"]
        if sec != current_section:
            current_section = sec
            summary_rows += f'<tr class="section-header"><td colspan="3"><b>{esc(sec)}</b></td></tr>'
        status_cls = "pass" if is_compliant else "fail"
        status_txt = "OK" if is_compliant else "FAILED"
        summary_rows += f'<tr><td class="rec-num">{esc(rec)}</td><td>{esc(title)}</td><td class="num {status_cls}">{status_txt}</td></tr>'

    # ── Detailed sections ──
    sections_html = ""
    for sec_name, sd in sections_data.items():
        sec_id = f"section-{slug(sec_name)}"
        sections_html += f'<div class="detail-section page-break-before" id="{esc(sec_id)}">'
        sections_html += '<div class="oracle-brand">ORACLE</div>'
        sections_html += f'<h1 class="section-num">{esc(sec_name)}</h1>'

        for r in sd["items"]:
            rec = r.get("Recommendation #", "")
            title = r.get("Title", "")
            rec_id = f"rec-{slug(sec_name)}-{slug(rec)}"
            is_compliant = r["__compliant"]
            findings = r.get("Findings", "").strip()
            findings_num = r["__findings"]
            total_items = r.get("Total", "").strip()
            compliant_items = r.get("Compliant Items", "").strip()
            pct = r["__pct"]
            csv_remediation = (r.get("Remediation", "") or "").strip()
            rag_data = r.get("__rag_remediation", {})
            if isinstance(rag_data, str):
                rag_data = {"description": "", "rationale": "", "remediation": rag_data}
            rag_desc = (rag_data.get("description", "") or "").strip()
            rag_rationale = (rag_data.get("rationale", "") or "").strip()
            rag_rem = (rag_data.get("remediation", "") or "").strip()

            # Status line
            if is_compliant:
                result_html = f'<div class="result-box ok"><b>Result:</b> Tenancy {esc(tenancy_name)}: <span class="pass-text">Compliant</span></div>'
            else:
                detail = ""
                if findings_num is not None and total_items:
                    detail = f" ({findings_num} of {esc(total_items)} items)"
                result_html = f'<div class="result-box fail"><b>Result:</b> Tenancy {esc(tenancy_name)}: <span class="fail-text">Non-Compliant{detail}</span></div>'

            # Description
            description_html = ""
            if not is_compliant and rag_desc:
                description_html = f'<div class="finding-desc"><h4>Description:</h4><p>{esc(rag_desc)}</p></div>'

            # Rationale (why this matters)
            rationale_html = ""
            if not is_compliant and rag_rationale:
                rationale_html = f'<div class="finding-rationale"><h4>Rationale:</h4><p>{esc(rag_rationale)}</p></div>'

            # Remediation — formatted with code snippets
            remediation_html = ""
            if not is_compliant:
                rem_text = rag_rem or csv_remediation
                if rem_text:
                    formatted = _format_remediation_html(rem_text)
                    remediation_html = f'<div class="remediation"><h4>Remediation:</h4><div class="remediation-content">{formatted}</div></div>'

            # Compliance bar
            bar_html = ""
            if pct is not None:
                cls = "bad" if pct <= 20 else "warn" if pct <= 60 else "ok"
                bar_html = f'<div class="compliance-bar"><span class="bar-label">{pct:.0f}% Compliant</span><div class="bar"><div class="fill {cls}" style="width:{pct:.0f}%"></div></div></div>'

            # Findings file link + resource table
            findings_file_html = ""
            findings_table_html = ""
            csv_filename = (r.get("Filename", "") or "").strip()
            if csv_filename and not is_compliant:
                if file_id_map:
                    fid = file_id_map.get(csv_filename, "")
                    if fid and rid:
                        dl_url = f"/api/reports/{rid}/files/{fid}/download"
                        findings_file_html = f'<div class="findings-file"><a href="{dl_url}" target="_blank" class="file-link">[CSV] {esc(csv_filename)}</a><span class="file-hint">Affected resources details</span></div>'
                if file_path_map:
                    csv_path = file_path_map.get(csv_filename, "")
                    if csv_path:
                        findings_table_html = _build_findings_table(csv_path, max_rows=10)

            sections_html += f'''
            <div class="finding" id="{esc(rec_id)}">
                <h2>{esc(rec)} {esc(title)}</h2>
                {bar_html}
                {result_html}
                {findings_table_html}
                {findings_file_html}
                {description_html}
                {rationale_html}
                {remediation_html}
            </div>'''

        sections_html += '</div>'

    # ── TOC ──
    toc_lines = '<div class="toc-line toc-l0"><a href="#cis-summary">CIS Security Assessment Summary</a></div>'
    toc_lines += '<div class="toc-line toc-l0"><a href="#benchmark-table">CIS Benchmark Recommendation Summary</a></div>'
    for sec_name, sd in sections_data.items():
        sec_id = f"section-{slug(sec_name)}"
        toc_lines += f'<div class="toc-line toc-l0"><a href="#{sec_id}">{esc(sec_name)}</a><span class="toc-count">{sd["total"]}</span></div>'
        for r in sd["items"]:
            rec = r.get("Recommendation #", "-")
            title = r.get("Title", "-")
            rec_id = f"rec-{slug(sec_name)}-{slug(rec)}"
            toc_lines += f'<div class="toc-line toc-l1"><a href="#{rec_id}">{esc(rec)} {esc(title)}</a></div>'

    PURPOSE_TEXT = "The purpose of the cloud security assessment is to comprehensively evaluate the organization's security posture in its cloud environment, identifying vulnerabilities and gaps that could compromise data integrity, confidentiality, and availability. This assessment aims to enhance information security maturity, strengthen defenses against cyber threats, ensure compliance with regulations, and foster a culture of security awareness. Through periodic assessments, the organization proactively mitigates risks, ensuring continuous security for cloud-configured assets and maintaining stakeholders' trust in data protection capabilities."
    DISCLAIMER_TEXT = "This document in any form, software or printed matter, contains proprietary information that is the exclusive property of Oracle. Your access to and use of this confidential material is subject to the terms and conditions of your Oracle software license and service agreement, which has been executed and with which you agree to comply. This document and information contained herein may not be disclosed, copied, reproduced or distributed to anyone outside Oracle without prior written consent of Oracle. This document is not part of your license agreement, nor can it be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates.\n\nThis document is for informational purposes only and is intended solely to assist you in planning for the implementation and upgrade of the product features described. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions."
    SECURITY_OVERVIEW = """Oracle's mission is to build cloud infrastructure and platform services for your business to have effective and manageable security to run your mission-critical workloads and store your data with confidence. Oracle Cloud Infrastructure's security approach is based on seven core pillars:

<b>Customer Isolation</b> — Allow customers to deploy their application and data assets in an environment that commits full isolation from other tenants and Oracle's staff.

<b>Data Encryption</b> — Protect customer data at-rest and in-transit in a way that allows customers to meet their security and compliance requirements for cryptographic algorithms and key management.

<b>Security Controls</b> — Offer customers effective and easy-to-use security management solutions that allow them to constrain access to their services and segregate operational responsibilities.

<b>Visibility</b> — Offer customers comprehensive log data and security analytics that they can use to audit and monitor actions on their resources.

<b>Secure Hybrid Cloud</b> — Enable customers to use their existing security assets, such as user accounts and policies, as well as third-party security solutions when accessing their cloud resources.

<b>High Availability</b> — Offer fault-independent data centers that enable high availability scale-out architectures and are resilient against network attacks.

<b>Verifiably Secure Infrastructure</b> — Follow rigorous processes and use effective security controls in all phases of cloud service development and operation."""

    return f'''<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8"/>
<title>LAD A-Team CIS Compliance Report — {esc(tenancy_name)}</title>
<style>
@page {{ size: A4; margin: 0; }}
@media screen {{
  .print-header-space, .print-footer-space {{ display: none; }}
}}
@media print {{
  .no-print {{ display: none !important; }}
  body {{ background: #fff !important; margin: 0; padding: 0; }}
  html {{ margin: 0; padding: 0; }}
  .wrap {{ margin-left: calc(var(--strip-w) + 10px); padding: 0 14mm 0 14px; max-width: none; }}
  .page-strip {{ width: var(--strip-w); }}
  /* Table wrapper trick: thead/tfoot repeat on every printed page */
  .print-wrapper {{ width: 100%; }}
  .print-wrapper > thead {{ display: table-header-group; }}
  .print-wrapper > tfoot {{ display: table-footer-group; }}
  .print-header-space {{ height: 16mm; display: block; }}
  .print-footer-space {{ height: 16mm; display: block; }}
}}
html,body {{ -webkit-print-color-adjust:exact; print-color-adjust:exact; }}
:root {{
  --text:#1a1a1a; --muted:#64748b; --line:#d1d5db; --soft:#f8fafc;
  --oracle-red:#c74634; --header-green:#4a7c59; --row-alt:#eef3f0;
  --fail:#c00000; --pass:#0f7b0f; --bad:#ef4444; --warn:#f59e0b; --ok:#22c55e;
  --strip-w:28px;
}}
body {{ margin:0; font-family:Arial,Helvetica,'Liberation Sans',sans-serif; color:var(--text); background:#fff; font-size:11.5px; line-height:1.6; }}

/* Decorative left strip on every page */
.page-strip {{ position:fixed; top:0; left:0; width:var(--strip-w); height:100%; z-index:100;
  background: linear-gradient(180deg, #6b7f3a 0%, #8a9a4e 8%, #4a6741 16%, #2d3b2a 24%, #c4a94d 32%, #8b6d3b 40%, #3d5c3a 48%, #6b7f3a 56%, #c4a94d 64%, #4a6741 72%, #2d3b2a 80%, #8a9a4e 88%, #6b7f3a 100%);
}}
@media print {{
  .page-strip {{ position:fixed; top:0; left:0; width:var(--strip-w); height:100vh; }}
}}
.wrap {{ margin-left:calc(var(--strip-w) + 10px); padding:0 28px 20px 20px; max-width:720px; }}

/* Oracle brand on every page (via running header simulation) */
.oracle-brand {{ font-family:Arial,Helvetica,'Liberation Sans',sans-serif; font-weight:700; letter-spacing:.8px; color:var(--oracle-red); font-size:15px; padding:18px 0 12px; }}

a {{ color:#2f5597; text-decoration:none; }}
a:hover {{ text-decoration:underline; }}
.page-break-before {{ break-before:page; page-break-before:always; }}

/* Cover */
.cover {{ position:relative; min-height:calc(297mm - 40mm); page-break-after:always; display:flex; flex-direction:column; }}
.cover-oracle {{ font-weight:700; letter-spacing:.8px; color:var(--oracle-red); font-size:15px; padding-top:18px; }}
.cover-rect {{ display:none; }}
.cover-spacer {{ flex:1; min-height:120px; }}
.cover-title {{ font-size:38px; line-height:1.12; font-weight:400; color:#111827; max-width:500px; margin-bottom:12px; }}
.cover-subtitle {{ font-size:12.5px; color:#374151; margin-bottom:6px; font-style:italic; }}
.cover-meta {{ font-size:10.5px; color:#374151; line-height:1.6; margin-top:8px; }}
.cover-bottom {{ min-height:80px; }}

/* Section page header */
.section-header-brand {{ font-weight:700; letter-spacing:.8px; color:var(--oracle-red); font-size:15px; padding:18px 0 14px; }}

/* Text blocks */
.text-block {{ margin:0 0 20px; }}
.text-block h2 {{ font-size:18px; font-weight:400; margin:0 0 10px; color:var(--oracle-red); }}
.text-block p {{ margin:0 0 10px; font-size:11px; line-height:1.65; white-space:pre-wrap; overflow-wrap:anywhere; text-align:justify; color:#374151; }}

/* TOC */
.toc {{ margin:0 0 20px; }}
.toc-heading {{ color:var(--oracle-red); font-size:18px; font-weight:400; margin:0 0 10px; }}
.toc-rule {{ height:2px; background:var(--oracle-red); margin:0 0 14px; max-width:400px; }}
.toc-lines {{ display:flex; flex-direction:column; gap:3px; font-size:11px; }}
.toc-line {{ display:flex; align-items:baseline; gap:6px; }}
.toc-l0 {{ font-weight:700; padding:2px 0; }}
.toc-l1 {{ padding-left:20px; font-weight:400; color:#374151; }}
.toc-line a {{ flex:1; min-width:0; overflow-wrap:anywhere; }}
.toc-count {{ font-weight:700; color:var(--muted); min-width:20px; text-align:right; }}

/* Summary tables */
.summary-card {{ margin:0 0 20px; }}
.summary-card h1 {{ font-size:18px; font-weight:400; margin:0 0 4px; color:var(--oracle-red); }}
.summary-card .sub {{ font-size:11px; color:var(--muted); margin:0 0 12px; }}
table.domains {{ width:100%; border-collapse:collapse; border:1px solid #bbb; font-size:11px; }}
table.domains thead {{ display:table-header-group; }}
table.domains thead th {{ background:var(--header-green); color:#fff; padding:8px 12px; text-transform:uppercase; letter-spacing:.4px; font-size:10px; text-align:center; border-right:1px solid rgba(255,255,255,.25); }}
table.domains thead th:first-child {{ text-align:left; }}
table.domains thead th:last-child {{ border-right:none; }}
table.domains tbody td {{ padding:7px 12px; border-top:1px solid #ccc; border-right:1px solid #ddd; }}
table.domains tbody tr {{ break-inside:avoid; page-break-inside:avoid; }}
table.domains tbody td:last-child {{ border-right:none; }}
table.domains tbody tr:nth-child(odd) {{ background:var(--row-alt); }}
.dom {{ font-weight:600; }}
.num {{ text-align:center; font-variant-numeric:tabular-nums; }}
.fail {{ color:var(--fail); font-weight:700; }}
.pass {{ color:var(--pass); font-weight:700; }}
.totals {{ font-size:12px; margin-top:10px; color:var(--muted); }}

/* Benchmark summary table */
table.benchmark {{ width:100%; border-collapse:collapse; border:1px solid #bbb; font-size:11px; }}
table.benchmark thead {{ display:table-header-group; }}
table.benchmark thead th {{ background:var(--header-green); color:#fff; padding:8px 12px; text-align:left; font-size:10px; text-transform:uppercase; border-right:1px solid rgba(255,255,255,.25); }}
table.benchmark thead th:last-child {{ text-align:center; border-right:none; }}
table.benchmark tbody td {{ padding:6px 12px; border-top:1px solid #ddd; }}
table.benchmark tbody tr {{ break-inside:avoid; page-break-inside:avoid; }}
table.benchmark .section-header {{ break-after:avoid; page-break-after:avoid; }}
table.benchmark .section-header td {{ background:#e8ece8; font-weight:700; font-size:11px; padding:8px 12px; border-top:2px solid #aaa; }}
.rec-num {{ width:42px; font-weight:600; color:#2f5597; white-space:nowrap; }}
.pass-text {{ color:var(--pass); font-weight:700; }}
.fail-text {{ color:var(--fail); font-weight:700; }}

/* Detail sections */
.detail-section {{ margin-top:0; }}
.detail-section h1.section-num {{ font-size:18px; color:var(--oracle-red); font-weight:400; border-bottom:none; padding-bottom:4px; margin:0 0 16px; }}
.finding {{ border-bottom:1px solid var(--line); padding:14px 0; margin:0; }}
.finding:last-child {{ border-bottom:none; }}
.finding h2 {{ font-size:12.5px; font-weight:700; margin:0 0 8px; color:#111827; line-height:1.4; }}

/* Result box */
.result-box {{ padding:8px 12px; border-radius:6px; font-size:11px; margin:8px 0; }}
.result-box.ok {{ background:#f0fdf4; border-left:3px solid var(--pass); }}
.result-box.fail {{ background:#fef2f2; border-left:3px solid var(--fail); }}

/* Findings file link */
.findings-file {{ display:flex; align-items:center; gap:8px; margin:8px 0; padding:8px 12px; background:#fffbeb; border-left:3px solid #f59e0b; border-radius:4px; }}
.file-link {{ font-size:11.5px; font-weight:700; color:#2f5597; text-decoration:none; }}
.file-link:hover {{ text-decoration:underline; }}
.file-hint {{ font-size:10px; color:var(--muted); }}
@media print {{ .file-link {{ color:#2f5597 !important; }} }}

/* Description */
.finding-desc {{ margin:10px 0 0; }}
.finding-desc h4 {{ font-size:11.5px; margin:0 0 6px; color:#2f5597; font-weight:700; }}
.finding-desc p {{ font-size:11px; line-height:1.65; text-align:justify; color:#374151; margin:0; padding:10px 14px; background:#f8f9fa; border-left:3px solid #2f5597; }}

/* Rationale */
.finding-rationale {{ margin:10px 0 0; }}
.finding-rationale h4 {{ font-size:11.5px; margin:0 0 6px; color:#92400e; font-weight:700; }}
.finding-rationale p {{ font-size:11px; line-height:1.65; text-align:justify; color:#374151; margin:0; padding:10px 14px; background:#fffbeb; border-left:3px solid #f59e0b; }}

/* Remediation */
.remediation {{ margin:10px 0 0; }}
.remediation h4 {{ font-size:11.5px; margin:0 0 6px; color:var(--oracle-red); font-weight:700; }}
.remediation-content {{ font-size:11px; line-height:1.6; }}
.rem-step {{ display:flex; gap:6px; padding:3px 0; align-items:flex-start; }}
.rem-step .step-num {{ font-weight:700; color:#2f5597; min-width:20px; }}
.rem-text {{ margin:4px 0; text-align:justify; color:#374151; }}
.code-snippet {{ background:#1e293b; color:#e2e8f0; padding:10px 14px; border-radius:4px; font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace; font-size:10.5px; line-height:1.5; overflow-x:auto; white-space:pre-wrap; word-break:break-all; margin:6px 0; border-left:3px solid #2f5597; }}

/* Compliance bar */
.compliance-bar {{ display:flex; align-items:center; gap:10px; margin:6px 0 8px; }}
.bar-label {{ font-size:11px; font-weight:700; width:100px; white-space:nowrap; }}
.bar {{ flex:1; height:8px; background:#eef2ff; border:1px solid #e5e7eb; border-radius:999px; overflow:hidden; }}
.fill {{ height:100%; border-radius:999px; }}
.fill.bad {{ background:var(--bad); }}
.fill.warn {{ background:var(--warn); }}
.fill.ok {{ background:var(--ok); }}

/* Findings resource table */
.findings-table-wrap {{ margin:10px 0 0; }}
.findings-table {{ width:100%; border-collapse:collapse; font-size:9.5px; border:1px solid #ccc; }}
.findings-table thead th {{ background:#4a6741; color:#fff; padding:4px 6px; text-align:left; font-size:8.5px; text-transform:uppercase; letter-spacing:.3px; white-space:nowrap; }}
.findings-table tbody td {{ padding:3px 6px; border-top:1px solid #e5e5e5; color:#374151; overflow:hidden; text-overflow:ellipsis; max-width:180px; white-space:nowrap; }}
.findings-table tbody tr:nth-child(even) {{ background:#f4f6f4; }}
.findings-note {{ font-size:9px; color:var(--muted); margin:4px 0 0; font-style:italic; }}

/* Print button */
.print-btn {{ position:fixed; bottom:20px; right:20px; padding:12px 24px; background:var(--oracle-red); color:#fff; border:none; border-radius:6px; font-size:14px; font-weight:700; cursor:pointer; box-shadow:0 4px 12px rgba(0,0,0,.25); z-index:999; }}
.print-btn:hover {{ background:#a83a2c; }}
</style>
</head>
<body>
<!-- Decorative left strip -->
<div class="page-strip"></div>

<table class="print-wrapper"><thead><tr><td><div class="print-header-space"></div></td></tr></thead>
<tfoot><tr><td><div class="print-footer-space"></div></td></tr></tfoot>
<tbody><tr><td>
<div class="wrap">

<!-- COVER -->
<div class="cover">
  <div class="cover-oracle">ORACLE</div>
  <div class="cover-spacer"></div>
  <div class="cover-title">Oracle Cloud Security<br/>Assessment</div>
  <div class="cover-subtitle">{esc(tenancy_name)} – Oracle Cloud Infrastructure</div>
  <div class="cover-meta">
    <div><b>Tenancy:</b> {esc(tenancy_name)}</div>
    <div>{esc(month_year)}, Version [1.0]</div>
    {f'<div><b>Extract date:</b> {esc(extract_date)}</div>' if extract_date else ''}
    <div>Copyright &copy; {now.year}, Oracle and/or its affiliates</div>
    <div>Confidential – Oracle Restricted</div>
  </div>
  <div class="cover-bottom"></div>
</div>

<!-- PURPOSE + DISCLAIMER -->
<div class="oracle-brand">ORACLE</div>
<div class="text-block">
  <h2>Purpose Statement</h2>
  <p>{esc(PURPOSE_TEXT)}</p>
</div>
<div class="text-block">
  <h2>Disclaimer</h2>
  <p>{esc(DISCLAIMER_TEXT)}</p>
</div>

<!-- TOC -->
<div class="page-break-before">
  <div class="oracle-brand">ORACLE</div>
  <div class="toc">
    <div class="toc-heading">Table of contents</div>
    <div class="toc-rule"></div>
    <div class="toc-lines">{toc_lines}</div>
  </div>
</div>

<!-- SECURITY OVERVIEW -->
<div class="page-break-before">
  <div class="oracle-brand">ORACLE</div>
  <div class="text-block">
    <h2>Security Overview</h2>
    <p>{SECURITY_OVERVIEW}</p>
  </div>
</div>

<!-- CIS SECURITY ASSESSMENT SUMMARY -->
<div class="page-break-before" id="cis-summary">
  <div class="oracle-brand">ORACLE</div>
  <div class="summary-card">
    <h1>CIS Security Assessment</h1>
    <div class="sub">CIS Oracle Cloud Infrastructure Foundations Benchmark v3.0.0</div>
    <p style="margin-bottom:12px">Number of controls per domain and non-compliant controls on tenancy <b>{esc(tenancy_name)}</b>:</p>
    <table class="domains">
      <thead><tr><th style="text-align:left">DOMAINS</th><th>TOTAL CONTROLS</th><th>FAILED</th><th>PASSED</th></tr></thead>
      <tbody>{domains_rows}</tbody>
    </table>
    <div class="totals">Total: <b>{total_all}</b> &bull; Passed: <b class="pass">{total_passed}</b> &bull; Failed: <b class="fail">{total_failed}</b> &bull; Compliance: <b>{pct_global}%</b></div>
  </div>
</div>

<!-- CIS BENCHMARK RECOMMENDATION SUMMARY -->
<div class="page-break-before" id="benchmark-table">
  <div class="oracle-brand">ORACLE</div>
  <div class="summary-card">
    <h1>CIS Benchmark Recommendation Summary</h1>
    <div class="sub">Status per recommendation</div>
    <table class="benchmark">
      <thead><tr><th style="width:50px">Item</th><th>Description</th><th style="width:70px;text-align:center">Status</th></tr></thead>
      <tbody>{summary_rows}</tbody>
    </table>
  </div>
</div>

<!-- DETAILED SECTIONS -->
{sections_html}

</div>
</td></tr></tbody></table>

<!-- Print/PDF button -->
<button class="print-btn no-print" onclick="window.print()">&#128438; Download PDF</button>
<script>
// Add auth token to findings file download links
document.addEventListener('DOMContentLoaded', function() {{
  var token = '';
  try {{ token = new URLSearchParams(window.location.search).get('token') || ''; }} catch(e) {{}}
  if (!token) try {{ token = window.parent.localStorage.getItem('t') || ''; }} catch(e) {{}}
  if (!token) try {{ token = localStorage.getItem('t') || ''; }} catch(e) {{}}
  document.querySelectorAll('.file-link').forEach(function(a) {{
    if (token && a.href.includes('/download')) {{
      a.href += (a.href.includes('?') ? '&' : '?') + 'token=' + encodeURIComponent(token);
    }}
  }});
}});
</script>

</body>
</html>'''


def _generate_compliance_report(rid: str, user_id: str, force_rag: bool = True) -> str:
    """Generate and cache the LAD A-Team CIS Compliance Report HTML."""
    import csv as csvmod
    import re as _re

    with db() as c:
        report = c.execute("SELECT * FROM reports WHERE id=?", (rid,)).fetchone()
    if not report:
        raise HTTPException(404, "Report not found")

    rdir = REPORTS / rid
    csv_path = rdir / "cis_summary_report.csv"
    if not csv_path.exists():
        raise HTTPException(404, "cis_summary_report.csv not found")

    rows = []
    with open(csv_path, "r", encoding="utf-8") as f:
        for row in csvmod.DictReader(f):
            rows.append(row)
    if not rows:
        raise HTTPException(404, "No data in summary CSV")

    tenancy_name = report["tenancy_name"] or "Unknown"
    extract_date = rows[0].get("extract_date", "") if rows else ""

    # Build filename → file_id and filename → file_path maps
    file_id_map = {}
    file_path_map = {}
    with db() as c:
        rf = c.execute("SELECT id, file_name, file_path FROM report_files WHERE report_id=?", (rid,)).fetchall()
        for f in rf:
            file_id_map[f["file_name"]] = f["id"]
            file_path_map[f["file_name"]] = f["file_path"]

    ALLOWED_SECTIONS = {
        "Asset Management", "Compute", "Identity and Access Management",
        "Logging and Monitoring", "Networking",
        "Storage - Block Volumes", "Storage - File Storage Service", "Storage - Object Storage",
    }

    def norm_section(raw):
        s = _re.sub(r"\s+", " ", (raw or "").strip())
        if _re.match(r"^Logging and Monitoring\s*\d*$", s, _re.I): return "Logging and Monitoring"
        if _re.match(r"^Storage$", s, _re.I): return None
        if _re.match(r"^Storage\s*-\s*Block Volumes$", s, _re.I): return "Storage - Block Volumes"
        if _re.match(r"^Storage\s*-\s*File Storage Service$", s, _re.I): return "Storage - File Storage Service"
        if _re.match(r"^Storage\s*-\s*Object Storage$", s, _re.I): return "Storage - Object Storage"
        return s or None

    seen = set()
    filtered = []
    for r in rows:
        sec = norm_section(r.get("Section", ""))
        if not sec or sec not in ALLOWED_SECTIONS: continue
        key = f"{sec}||{r.get('Recommendation #', '')}||{r.get('Title', '')}".lower()
        if key in seen: continue
        seen.add(key)
        r["Section"] = sec
        status_raw = (r.get("Compliant", "") or "").strip().lower()
        r["__compliant"] = status_raw in ("yes", "true", "compliant", "ok")
        pct_str = (r.get("Compliance Percentage Per Recommendation", "") or "").replace(",", ".")
        m = _re.search(r"(\d+(\.\d+)?)", pct_str)
        r["__pct"] = max(0, min(100, float(m.group(1)))) if m else None
        f_str = (r.get("Findings", "") or "").replace(",", "")
        fm = _re.search(r"\d+", f_str)
        r["__findings"] = int(fm.group(0)) if fm else None
        filtered.append(r)

    # RAG remediations (with per-item timeout)
    for r in filtered:
        r["__rag_remediation"] = {"description": "", "remediation": ""}
    if force_rag:
        from concurrent.futures import ThreadPoolExecutor, TimeoutError as FuturesTimeout
        non_compliant = [r for r in filtered if not r["__compliant"]]
        log.info(f"Compliance report: searching RAG for {len(non_compliant)} non-compliant items")
        with ThreadPoolExecutor(max_workers=2) as pool:
            for r in non_compliant:
                try:
                    fut = pool.submit(_search_cis_remediation,
                        r.get("Title", ""), r.get("Recommendation #", ""), user_id)
                    r["__rag_remediation"] = fut.result(timeout=30)
                    log.info(f"  RAG OK: {r.get('Recommendation #', '?')}")
                except FuturesTimeout:
                    log.warning(f"  RAG timeout: {r.get('Recommendation #', '?')}")
                except Exception as e:
                    log.warning(f"  RAG error {r.get('Recommendation #', '?')}: {e}")

    SECTION_ORDER = [
        "Identity and Access Management", "Networking", "Compute", "Logging and Monitoring",
        "Storage - Object Storage", "Storage - Block Volumes", "Storage - File Storage Service",
        "Asset Management",
    ]
    from collections import OrderedDict
    sections = OrderedDict()
    for sec in SECTION_ORDER:
        items = [r for r in filtered if r["Section"] == sec]
        if items:
            items.sort(key=lambda x: [int(p) if p.isdigit() else 0 for p in (x.get("Recommendation #", "0") or "0").split(".")])
            passed = sum(1 for x in items if x["__compliant"])
            sections[sec] = {"items": items, "total": len(items), "passed": passed, "failed": len(items) - passed}

    html = _build_compliance_html(filtered, tenancy_name, extract_date, sections, rid, file_id_map, file_path_map)

    # Cache to disk
    cache_path = rdir / "compliance_report.html"
    cache_path.write_text(html, encoding="utf-8")
    log.info(f"Compliance report cached: {cache_path} ({len(html)} bytes)")
    return html


@app.api_route("/api/reports/{rid}/compliance-report", methods=["GET", "HEAD"])
async def compliance_report(rid: str, regen: int = Query(0)):
    """Serve cached LAD A-Team CIS Compliance Report, or return 404 if not generated yet."""
    rdir = REPORTS / rid
    cache_path = rdir / "compliance_report.html"

    if regen == 1 and cache_path.exists():
        cache_path.unlink()

    if cache_path.exists():
        return FileResponse(cache_path, media_type="text/html")

    raise HTTPException(404, "Compliance report not generated yet")


@app.post("/api/reports/{rid}/compliance-report/generate")
async def generate_compliance_report(rid: str, bg: BackgroundTasks, u=Depends(current_user)):
    """Start generating the compliance report in background."""
    with db() as c:
        report = c.execute("SELECT * FROM reports WHERE id=?", (rid,)).fetchone()
    if not report: raise HTTPException(404, "Report not found")

    rdir = REPORTS / rid
    csv_path = rdir / "cis_summary_report.csv"
    if not csv_path.exists():
        raise HTTPException(404, "cis_summary_report.csv not found")

    # Reject if already generating
    marker = rdir / ".compliance_generating"
    if marker.exists():
        import time as _time
        age = _time.time() - marker.stat().st_mtime
        if age < 600:
            return {"status": "already_generating", "has_rag": False}

    # Mark as generating BEFORE deleting cache
    marker.write_text(str(uuid.uuid4()), encoding="utf-8")

    # Delete existing cache
    cache_path = rdir / "compliance_report.html"
    if cache_path.exists():
        cache_path.unlink()

    has_adb = False
    with db() as c:
        adb_cfgs = c.execute("SELECT id FROM adb_vector_configs WHERE user_id=? AND is_active=1", (u["id"],)).fetchall()
        if adb_cfgs:
            has_adb = True

    user_id = u["id"]
    log.info(f"Compliance report generation started for {rid} (has_adb={has_adb})")

    def _bg_generate():
        try:
            log.info(f"Compliance report thread running for {rid}")
            _generate_compliance_report(rid, user_id, force_rag=has_adb)
            log.info(f"Compliance report generation completed for {rid}")
        except Exception as e:
            log.error(f"Compliance report generation failed for {rid}: {e}", exc_info=True)
        finally:
            # Remove generating marker
            m = REPORTS / rid / ".compliance_generating"
            if m.exists():
                m.unlink(missing_ok=True)

    _chat_executor.submit(_bg_generate)
    return {"status": "generating", "has_rag": has_adb}


@app.get("/api/reports/{rid}/compliance-report/status")
async def compliance_report_status(rid: str):
    """Check compliance report status: ready, generating, or not started."""
    import time as _time
    rdir = REPORTS / rid
    cache_path = rdir / "compliance_report.html"
    marker = rdir / ".compliance_generating"
    if cache_path.exists():
        # Clean stale marker if report is ready
        if marker.exists():
            marker.unlink(missing_ok=True)
        return {"ready": True, "generating": False}
    if marker.exists():
        # Auto-expire marker after 10 minutes (orphaned by restart/crash)
        age = _time.time() - marker.stat().st_mtime
        if age > 600:
            marker.unlink(missing_ok=True)
            log.warning(f"Expired stale compliance marker for {rid} (age={age:.0f}s)")
            return {"ready": False, "generating": False}
        return {"ready": False, "generating": True}
    return {"ready": False, "generating": False}


@app.get("/api/reports/{rid}/compliance-report/download")
async def compliance_report_download(rid: str, token: str = Query(None), cred: HTTPAuthorizationCredentials = Depends(HTTPBearer(auto_error=False))):
    """Download ZIP with compliance report PDF (Chromium headless) + CSV files."""
    import zipfile, io, re as _re, subprocess, tempfile
    u = _user_from_token(token) if token else (await current_user(cred) if cred else None)
    if not u: raise HTTPException(401, "Not authenticated")

    rdir = REPORTS / rid
    html_path = rdir / "compliance_report.html"
    if not html_path.exists():
        raise HTTPException(404, "Compliance report not generated yet")

    with db() as c:
        report = c.execute("SELECT tenancy_name FROM reports WHERE id=?", (rid,)).fetchone()
        if not report: raise HTTPException(404)
        files = c.execute("SELECT file_name, file_path FROM report_files WHERE report_id=?", (rid,)).fetchall()

    tenancy = report["tenancy_name"] or "report"
    safe_name = _re.sub(r'[^\w\-]', '_', tenancy)
    file_map = {f["file_name"]: f["file_path"] for f in files}

    # Prepare HTML for PDF: rewrite CSV links to relative paths
    html = html_path.read_text(encoding="utf-8")
    html = _re.sub(r'<button class="print-btn[^"]*"[^>]*>.*?</button>', '', html, flags=_re.DOTALL)
    html = _re.sub(r'<script>.*?</script>', '', html, flags=_re.DOTALL)
    for fname in file_map:
        html = _re.sub(
            r'href="[^"]*?/download[^"]*?"([^>]*>)\s*\[CSV\]\s*' + _re.escape(fname),
            f'href="csv/{fname}"\\1[CSV] {fname}',
            html
        )

    # Generate PDF via Chromium headless (same engine as browser print)
    pdf_bytes = None
    try:
        with tempfile.TemporaryDirectory() as tmpdir:
            tmp_html = Path(tmpdir) / "report.html"
            tmp_pdf = Path(tmpdir) / "report.pdf"
            tmp_html.write_text(html, encoding="utf-8")
            loop = asyncio.get_event_loop()
            result = await asyncio.wait_for(
                loop.run_in_executor(None, partial(
                    subprocess.run, [
                        "chromium", "--headless", "--no-sandbox", "--disable-gpu",
                        "--disable-software-rasterizer", "--run-all-compositor-stages-before-draw",
                        f"--print-to-pdf={tmp_pdf}", "--no-pdf-header-footer",
                        f"file://{tmp_html}"
                    ], capture_output=True, timeout=120)),
                timeout=120)
            if tmp_pdf.exists():
                pdf_bytes = tmp_pdf.read_bytes()
                log.info(f"Chromium PDF generated: {len(pdf_bytes)} bytes")
            else:
                log.error(f"Chromium PDF failed: {result.stderr.decode()[:500]}")
    except Exception as e:
        log.error(f"PDF generation failed: {e}", exc_info=True)

    if not pdf_bytes:
        raise HTTPException(500, "PDF generation failed")

    # Build ZIP: PDF + CSVs
    buf = io.BytesIO()
    with zipfile.ZipFile(buf, 'w', zipfile.ZIP_DEFLATED) as zf:
        zf.writestr(f"CIS_Compliance_Report_{safe_name}.pdf", pdf_bytes)
        for fname, fpath in file_map.items():
            p = Path(fpath)
            if p.exists() and fname.lower().endswith('.csv'):
                zf.write(str(p), f"csv/{fname}")

    buf.seek(0)
    from starlette.responses import Response
    return Response(
        content=buf.getvalue(),
        media_type="application/zip",
        headers={"Content-Disposition": f'attachment; filename="CIS_Compliance_Report_{safe_name}.zip"'}
    )


@app.get("/api/reports/{rid}/download")
async def report_dl(rid, fmt: str = Query("json"), token: str = Query(None), cred: HTTPAuthorizationCredentials = Depends(HTTPBearer(auto_error=False))):
    u = _user_from_token(token) if token else (await current_user(cred) if cred else None)
    if not u: raise HTTPException(401, "Not authenticated")
    with db() as c: r=c.execute("SELECT * FROM reports WHERE id=?",(rid,)).fetchone()
    if not r: raise HTTPException(404)
    if u["role"] != "admin" and r["user_id"] != u["id"]: raise HTTPException(403)
    p = r["json_path"] if fmt=="json" else r["html_path"]
    if not p or not Path(p).exists(): raise HTTPException(404)
    return FileResponse(p, filename=f"cis_{r['tenancy_name']}_{rid[:8]}.{fmt}")

# ── Chat Agent ────────────────────────────────────────────────────────────────
# (endpoints defined below _chat_core, after _agent_respond)

def _chat_start(msg: ChatMsg, u, attachments: list = None, agent_type: str = "chat"):
    """Start a chat: save user msg, resolve config, return (sid, mid, genai_cfg) or immediate response.
    If genai_cfg is None, returns immediate fallback response in mid field as dict."""
    is_new = not msg.session_id
    sid = msg.session_id or str(uuid.uuid4())
    with db() as c:
        c.execute("INSERT INTO chat_messages (id,session_id,user_id,role,content,model_id,status) VALUES (?,?,?,?,?,?,?)",
                  (str(uuid.uuid4()), sid, u["id"], "user", msg.message, None, "done"))
        if is_new:
            title = (msg.message or "Nova conversa")[:80].strip()
            c.execute("INSERT OR IGNORE INTO chat_sessions (id,user_id,agent_type,title) VALUES (?,?,?,?)",
                      (sid, u["id"], agent_type, title))
        else:
            c.execute("UPDATE chat_sessions SET updated_at=datetime('now') WHERE id=?", (sid,))

    genai_cfg = None
    if msg.genai_config_id:
        with db() as c:
            row = c.execute("SELECT * FROM genai_configs WHERE id=?", (msg.genai_config_id,)).fetchone()
        if row:
            genai_cfg = dict(row)
            if msg.temperature is not None: genai_cfg["temperature"] = msg.temperature
            if msg.max_tokens is not None: genai_cfg["max_tokens"] = msg.max_tokens
            if msg.top_p is not None: genai_cfg["top_p"] = msg.top_p
            if msg.top_k is not None: genai_cfg["top_k"] = msg.top_k
            if msg.frequency_penalty is not None: genai_cfg["frequency_penalty"] = msg.frequency_penalty
            if msg.presence_penalty is not None: genai_cfg["presence_penalty"] = msg.presence_penalty
            if msg.reasoning_effort is not None: genai_cfg["reasoning_effort"] = msg.reasoning_effort
    elif msg.model_id and msg.oci_config_id:
        with db() as c:
            oci_row = c.execute("SELECT * FROM oci_configs WHERE id=?", (msg.oci_config_id,)).fetchone()
        if not oci_row:
            raise HTTPException(400, "OCI config not found")
        region = msg.genai_region or oci_row["region"]
        compartment = _safe_dec(oci_row["compartment_id"]) if oci_row["compartment_id"] else ""
        if not compartment:
            raise HTTPException(400, "compartment_id required")
        genai_cfg = {
            "oci_config_id": msg.oci_config_id,
            "model_id": msg.model_id,
            "model_ocid": None,
            "compartment_id": compartment,
            "genai_region": region,
            "endpoint": f"https://inference.generativeai.{region}.oci.oraclecloud.com",
            "serving_type": "ON_DEMAND",
            "dedicated_endpoint_id": None,
            "temperature": msg.temperature if msg.temperature is not None else 1.0,
            "max_tokens": msg.max_tokens if msg.max_tokens is not None else 6000,
            "top_p": msg.top_p if msg.top_p is not None else 0.95,
            "top_k": msg.top_k if msg.top_k is not None else 1,
            "frequency_penalty": msg.frequency_penalty if msg.frequency_penalty is not None else 0.0,
            "presence_penalty": msg.presence_penalty if msg.presence_penalty is not None else 0.0,
            "reasoning_effort": msg.reasoning_effort,
        }

    if not genai_cfg:
        # No GenAI config — return immediate fallback
        resp = _agent_respond(msg.message, u)
        with db() as c:
            c.execute("INSERT INTO chat_messages (id,session_id,user_id,role,content,model_id,status) VALUES (?,?,?,?,?,?,?)",
                      (str(uuid.uuid4()), sid, u["id"], "assistant", resp, None, "done"))
        return sid, {"session_id": sid, "response": resp, "model_id": None, "status": "done"}, None

    # Create placeholder assistant message for background processing
    mid = str(uuid.uuid4())
    with db() as c:
        c.execute("INSERT INTO chat_messages (id,session_id,user_id,role,content,model_id,status) VALUES (?,?,?,?,?,?,?)",
                  (mid, sid, u["id"], "assistant", "", genai_cfg.get("model_id"), "processing"))
    return sid, mid, genai_cfg


async def _chat_background(mid: str, sid: str, msg: ChatMsg, user: dict, genai_cfg: dict, attachments: list = None, agent_type: str = "chat"):
    """Background worker — processes GenAI chat, updates DB when done."""
    log.info(f"Chat background started: mid={mid}, sid={sid}")
    try:
        history = []
        with db() as c:
            prev = c.execute("SELECT role,content FROM chat_messages WHERE session_id=? AND role IN ('user','assistant') AND status='done' ORDER BY created_at ASC", (sid,)).fetchall()
            history = [{"role":r["role"],"content":r["content"]} for r in prev]

        # ── RAG: augment with vector context from ALL active ADB configs ──
        # Resolve active tenancy for filtered vector search
        rag_tenancy = None
        active_oci_for_rag = genai_cfg.get("oci_config_id") or (msg.oci_config_id if hasattr(msg, 'oci_config_id') and msg.oci_config_id else None)
        if active_oci_for_rag:
            with db() as c:
                oci_for_rag = c.execute("SELECT tenancy_name FROM oci_configs WHERE id=?", (active_oci_for_rag,)).fetchone()
            if oci_for_rag:
                rag_tenancy = oci_for_rag["tenancy_name"]
                log.info(f"RAG: filtering by tenancy '{rag_tenancy}'")

        rag_context = ""
        adb_cfgs = _get_active_adb_configs(user["id"]) if agent_type != "terraform" else []
        if adb_cfgs:
            all_documents = []
            for adb_cfg in adb_cfgs:
                try:
                    genai_linked = None
                    if adb_cfg.get("genai_config_id"):
                        with db() as c:
                            row = c.execute("SELECT * FROM genai_configs WHERE id=?", (adb_cfg["genai_config_id"],)).fetchone()
                            if row: genai_linked = dict(row)
                    emb_genai = _resolve_embed_config(oci_config_id=active_oci_for_rag, genai_cfg=genai_linked)
                    if emb_genai:
                        emb_model = adb_cfg.get("embedding_model_id", "cohere.embed-v4.0")
                        query_embedding = _embed_text(msg.message, emb_genai, emb_model)
                        tables = _get_tables_for_config(adb_cfg["id"], active_only=True)
                        if not tables:
                            tables = [{"table_name": adb_cfg.get("table_name", "")}]
                        for tbl in tables:
                            try:
                                documents = _vector_search(adb_cfg, query_embedding, top_k=5, table_name=tbl["table_name"], tenancy=rag_tenancy)
                                if documents:
                                    for doc in documents:
                                        doc["source"] = f"{doc.get('source', 'unknown')} [{tbl['table_name']}]"
                                    all_documents.extend(documents)
                                    log.info(f"RAG: Retrieved {len(documents)} docs from {tbl['table_name']}")
                            except Exception as te:
                                log.warning(f"RAG search failed for table {tbl['table_name']}: {te}")
                                _chat_log(sid, mid, user["id"], "warning", "rag", "search_failed", f"{tbl['table_name']}: {te}")
                except Exception as e:
                    log.warning(f"RAG retrieval failed for {adb_cfg.get('config_name','?')} (non-fatal): {e}")
                    _chat_log(sid, mid, user["id"], "warning", "rag", "retrieval_failed", f"{adb_cfg.get('config_name','?')}: {e}")
            if all_documents:
                all_documents.sort(key=lambda d: d["distance"])
                rag_context = _build_rag_context(all_documents[:10])

        cfg_dict = dict(genai_cfg)
        with db() as c:
            sp_row = c.execute("SELECT content FROM system_prompts WHERE agent=? AND is_active=1 LIMIT 1", (agent_type,)).fetchone()
        global_prompt = sp_row["content"] if sp_row and sp_row["content"] else ""
        if rag_context:
            augmented_message = RAG_CONTEXT_TEMPLATE.format(context=rag_context, question=msg.message)
            cfg_dict["system_prompt"] = global_prompt or RAG_DEFAULT_SYSTEM_PROMPT
        else:
            augmented_message = msg.message
            if global_prompt:
                cfg_dict["system_prompt"] = global_prompt

        # ── Inject all config context into system prompt so model auto-resolves IDs ──
        ctx_parts = []
        active_oci_id = cfg_dict.get("oci_config_id") or (msg.oci_config_id if msg.oci_config_id else None)
        with db() as c:
            oci_cfgs = c.execute("SELECT id,tenancy_name,region,compartment_id FROM oci_configs WHERE user_id=?", (user["id"],)).fetchall()
            genai_cfgs = c.execute("SELECT id,name,model_id,genai_region,compartment_id,oci_config_id FROM genai_configs WHERE user_id=?", (user["id"],)).fetchall()
            adb_cfgs = c.execute("SELECT id,config_name,dsn,table_name,is_active,genai_config_id,embedding_model_id FROM adb_vector_configs WHERE user_id=? AND is_active=1", (user["id"],)).fetchall()
            mcp_srvs = c.execute("SELECT id,name,description,is_active FROM mcp_servers WHERE is_active=1 AND (user_id=? OR EXISTS (SELECT 1 FROM users WHERE id=? AND role='admin'))", (user["id"], user["id"])).fetchall()
        # ── Active OCI config (selected by user in this session) ──
        if active_oci_id:
            for oc in oci_cfgs:
                if oc["id"] == active_oci_id:
                    comp = _safe_dec(oc["compartment_id"]) if oc["compartment_id"] else "N/A"
                    ctx_parts.append(
                        f"⚡ CONFIG OCI ATIVA (usar como config_id em TODAS as tools que precisarem): "
                        f"config_id=\"{oc['id']}\" tenancy=\"{oc['tenancy_name']}\" region=\"{oc['region']}\" compartment_id=\"{comp}\""
                    )
                    break
        if oci_cfgs:
            ctx_parts.append("\nTodas as configurações OCI disponíveis (use 'id' como config_id):")
            for oc in oci_cfgs:
                comp = _safe_dec(oc["compartment_id"]) if oc["compartment_id"] else "N/A"
                active_tag = " ← ATIVA" if oc["id"] == active_oci_id else ""
                ctx_parts.append(f"  - id=\"{oc['id']}\" tenancy=\"{oc['tenancy_name']}\" region=\"{oc['region']}\" compartment_id=\"{comp}\"{active_tag}")
        if genai_cfgs:
            ctx_parts.append("\nConfigurações GenAI disponíveis (use 'id' como genai_config_id):")
            for gc in genai_cfgs:
                comp = _safe_dec(gc["compartment_id"]) if gc["compartment_id"] else "N/A"
                ctx_parts.append(f"  - id=\"{gc['id']}\" name=\"{gc['name']}\" model=\"{gc['model_id']}\" region=\"{gc['genai_region']}\" compartment_id=\"{comp}\"")
        if adb_cfgs:
            ctx_parts.append("\nConfigurações ADB Vector Store disponíveis (use 'id' como adb_config_id):")
            for ac in adb_cfgs:
                emb = ac["embedding_model_id"] if ac["embedding_model_id"] else "N/A"
                ctx_parts.append(f"  - id=\"{ac['id']}\" name=\"{ac['config_name']}\" table=\"{ac['table_name']}\" embedding_model=\"{emb}\"")
        if mcp_srvs:
            ctx_parts.append("\nMCP Servers ativos (tools disponíveis para uso):")
            for ms in mcp_srvs:
                desc = ms["description"] or ""
                ctx_parts.append(f"  - id=\"{ms['id']}\" name=\"{ms['name']}\" desc=\"{desc}\"")
        if ctx_parts:
            ctx_parts.append("\nIMPORTANTE: Use automaticamente a config OCI ATIVA como config_id em todas as tools. NUNCA peça config_id, tenancy ou IDs ao usuário — já estão definidos acima.")
            config_hint = "\n".join(ctx_parts)
            base_prompt = cfg_dict.get("system_prompt", "")
            cfg_dict["system_prompt"] = f"{base_prompt}\n\n{config_hint}" if base_prompt else config_hint

        # ── Terraform agent: boost max_tokens (capped at 65K to avoid context overflow) + force reasoning_effort=high ──
        if agent_type == "terraform":
            tf_model_info = GENAI_MODELS.get(cfg_dict.get("model_id", ""), {})
            tf_model_max = tf_model_info.get("max_tokens", 32768)
            cfg_dict["max_tokens"] = min(tf_model_max, 65000)
            if tf_model_info.get("reasoning") and not cfg_dict.get("reasoning_effort"):
                cfg_dict["reasoning_effort"] = "HIGH"

        # ── Inject existing OCI resources for terraform agent ──
        if agent_type == "terraform" and active_oci_id:
            try:
                # Determine compartment: from msg or from OCI config
                tf_compartment = getattr(msg, 'compartment_id', None) or None
                if not tf_compartment:
                    for oc in oci_cfgs:
                        if oc["id"] == active_oci_id:
                            tf_compartment = _safe_dec(oc["compartment_id"]) if oc["compartment_id"] else None
                            break
                if tf_compartment:
                    tf_region = None
                    for oc in oci_cfgs:
                        if oc["id"] == active_oci_id:
                            tf_region = oc["region"]
                            break
                    loop = asyncio.get_event_loop()
                    resources = await loop.run_in_executor(
                        _chat_executor, partial(_fetch_compartment_resources, active_oci_id, tf_compartment, tf_region))
                    resource_ctx = _build_resource_context(resources)
                    cfg_dict["system_prompt"] = cfg_dict.get("system_prompt", "") + "\n\n" + resource_ctx
                    log.info(f"Terraform: injected resource context for compartment {tf_compartment[:20]}...")
            except Exception as e:
                log.warning(f"Failed to inject terraform resource context: {e}")

        # ── Inject OCI Terraform resource reference for correct resource names ──
        if agent_type == "terraform":
            tf_ref = _load_tf_resource_reference()
            if tf_ref:
                # Extract only the categorized sections (not the full 900+ resource list)
                # to keep prompt size manageable
                sections = []
                for line in tf_ref.split('\n'):
                    if line.startswith('## All Resource Types'):
                        break
                    sections.append(line)
                ref_compact = '\n'.join(sections).strip()
                if ref_compact:
                    cfg_dict["system_prompt"] = cfg_dict.get("system_prompt", "") + \
                        "\n\n### Referência de Recursos OCI Terraform (gerado do provider schema)\n" + \
                        "Use EXATAMENTE estes nomes de resource types. Se o recurso não estiver nesta lista, ele NÃO EXISTE no provider.\n\n" + \
                        ref_compact
                    log.info(f"Terraform: injected resource reference ({len(ref_compact)} chars)")

        # ── Inject official Terraform resource docs (Example Usage + Arguments) ──
        if agent_type == "terraform":
            try:
                # Detect resource types from user message + recent conversation history
                detect_text = msg.message if hasattr(msg, 'message') else ""
                if history:
                    # Include last 3 messages for context
                    for h in history[-3:]:
                        detect_text += "\n" + (h.get("content", "") or "")
                resource_types = _detect_tf_resource_types(detect_text)
                if resource_types:
                    loop = asyncio.get_event_loop()
                    docs_ctx = await loop.run_in_executor(
                        _chat_executor, partial(_get_tf_docs_for_resources, resource_types))
                    if docs_ctx:
                        cfg_dict["system_prompt"] = cfg_dict.get("system_prompt", "") + "\n\n" + docs_ctx
                        log.info(f"Terraform: injected {len(resource_types)} resource docs ({len(docs_ctx)} chars)")
            except Exception as e:
                log.warning(f"Failed to inject terraform resource docs: {e}")

        # Log total prompt sizes for debugging
        if agent_type == "terraform":
            sp_len = len(cfg_dict.get("system_prompt", ""))
            msg_len = len(msg.message) if hasattr(msg, 'message') else 0
            log.info(f"Terraform prompt sizes: system_prompt={sp_len} chars (~{sp_len//4} tokens), user_msg={msg_len} chars (~{msg_len//4} tokens), max_tokens={cfg_dict.get('max_tokens')}")

        mcp_tools = []
        tool_defs = None
        if msg.use_tools:
            mcp_tools = _get_active_mcp_tools(user["id"])
            if mcp_tools:
                tool_defs = [t["tool"] for t in mcp_tools]
                log.info(f"Chat with {len(tool_defs)} MCP tools available")

        if history and _should_compact(history):
            log.info(f"Compaction triggered: {len(history)} msgs, ~{_estimate_history_tokens(history)} est tokens")
            history = _compact_history(sid, user["id"], cfg_dict, history)
            log.info(f"Post-compaction: {len(history)} msgs, ~{_estimate_history_tokens(history)} est tokens")

        hist = history[:-1] if len(history) > 1 else None
        loop = asyncio.get_event_loop()
        try:
            resp_text, tool_calls, tool_calls_raw = await asyncio.wait_for(
                loop.run_in_executor(
                    _chat_executor, partial(_call_genai, cfg_dict, augmented_message, hist,
                                            tool_defs, None, None, attachments)),
                timeout=300)
        except asyncio.TimeoutError:
            log.error(f"GenAI call timed out after 300s for session {sid}")
            raise HTTPException(504, "O modelo de IA demorou demais para responder. Tente novamente.")

        all_tool_results = []
        accumulated_msgs = []
        iterations = 0
        api_format = GENAI_MODELS.get(genai_cfg.get("model_id", ""), {}).get("api_format", "GENERIC")
        while tool_calls and iterations < 5:
            iterations += 1
            log.info(f"Tool use iteration {iterations}: {len(tool_calls)} tool call(s)")
            iteration_results = []
            for tc in tool_calls:
                mcp_match = next((m for m in mcp_tools if m["tool"]["name"] == tc["name"]), None)
                if mcp_match:
                    try:
                        result = await _execute_mcp_tool(mcp_match["server"], tc["name"], tc["arguments"])
                        log.info(f"Tool {tc['name']} executed successfully ({len(result)} chars)")
                        _chat_log(sid, mid, user["id"], "info", "tool", "tool_success", f"{tc['name']} ({len(result)} chars)")
                    except Exception as te:
                        result = f"Erro ao executar tool {tc['name']}: {str(te)[:300]}"
                        log.warning(f"Tool {tc['name']} failed: {te}")
                        _chat_log(sid, mid, user["id"], "error", "tool", "tool_error", f"{tc['name']}: {te}")
                else:
                    result = f"Tool {tc['name']} não encontrada nos MCP servers ativos"
                    _chat_log(sid, mid, user["id"], "error", "tool", "tool_not_found", tc["name"])
                iteration_results.append({"tool_call_id": tc["id"], "name": tc["name"], "content": result})
            all_tool_results.extend(iteration_results)

            if api_format == "COHERE":
                import oci
                cohere_results = []
                for tr in iteration_results:
                    tc_obj = oci.generative_ai_inference.models.CohereToolCall()
                    tc_obj.name = tr["name"]
                    tc_obj.parameters = {}
                    tr_obj = oci.generative_ai_inference.models.CohereToolResult()
                    tr_obj.call = tc_obj
                    tr_obj.outputs = [{"result": tr["content"]}]
                    cohere_results.append(tr_obj)
                try:
                    resp_text, tool_calls, tool_calls_raw = await asyncio.wait_for(
                        loop.run_in_executor(
                            _chat_executor, partial(_call_genai, cfg_dict, augmented_message, hist,
                                                    tool_defs, cohere_results)),
                        timeout=300)
                except asyncio.TimeoutError:
                    log.error(f"GenAI tool-use call timed out after 300s (Cohere, iteration {iterations})")
                    raise HTTPException(504, "O modelo de IA demorou demais para responder. Tente novamente.")
            else:
                import oci
                assistant_msg = oci.generative_ai_inference.models.AssistantMessage()
                assistant_msg.tool_calls = tool_calls_raw
                accumulated_msgs.append(assistant_msg)
                for tr in iteration_results:
                    tool_msg = oci.generative_ai_inference.models.ToolMessage()
                    tool_msg.tool_call_id = tr["tool_call_id"]
                    tool_content = oci.generative_ai_inference.models.TextContent()
                    tool_content.text = tr["content"]
                    tool_msg.content = [tool_content]
                    accumulated_msgs.append(tool_msg)
                try:
                    resp_text, tool_calls, tool_calls_raw = await asyncio.wait_for(
                        loop.run_in_executor(
                            _chat_executor, partial(_call_genai, cfg_dict, augmented_message, hist,
                                                    tool_defs, None, accumulated_msgs)),
                        timeout=300)
                except asyncio.TimeoutError:
                    log.error(f"GenAI tool-use call timed out after 300s (Generic, iteration {iterations})")
                    raise HTTPException(504, "O modelo de IA demorou demais para responder. Tente novamente.")

        resp = resp_text
        if all_tool_results:
            tools_info = '\n\n🔧 **Tools utilizadas:** ' + ', '.join(tr["name"] for tr in all_tool_results)
            resp += tools_info

        if not resp or not resp.strip():
            model_id = genai_cfg.get("model_id", "unknown")
            resp = f"⚠️ O modelo **{model_id}** retornou uma resposta vazia. Isso pode ocorrer com alguns modelos. Tente novamente ou selecione outro modelo (ex: Gemini, Llama)."
            log.warning(f"Chat {mid}: empty response from model {model_id}, returning fallback message")

        # Validate terraform resource types against DB
        if agent_type == "terraform" and resp and '```' in resp:
            try:
                tf_errors = _validate_tf_resource_types(resp)
                if tf_errors:
                    warning_lines = ["\n\n⚠️ **Validação automática — Resource types inválidos detectados:**"]
                    for err in tf_errors:
                        line = f"- `{err['type']}` — NÃO EXISTE no provider oracle/oci."
                        if err['suggestions']:
                            line += f" Sugestões: {', '.join('`' + s + '`' for s in err['suggestions'])}"
                        warning_lines.append(line)
                    warning_lines.append("\n**Clique em 'Re-plan' após o modelo corrigir, ou peça correção no chat.**")
                    resp += '\n'.join(warning_lines)
                    log.warning(f"Chat {mid}: {len(tf_errors)} invalid TF resource types detected: {[e['type'] for e in tf_errors]}")
            except Exception as e:
                log.warning(f"TF resource type validation failed: {e}")

        with db() as c:
            c.execute("UPDATE chat_messages SET content=?, status='done' WHERE id=?", (resp, mid))
        log.info(f"Chat {mid} completed successfully")
    except Exception as e:
        log.error(f"Chat {mid} failed: {e}")
        _chat_log(sid, mid, user["id"], "error", "genai", "genai_failed", str(e))
        with db() as c:
            c.execute("UPDATE chat_messages SET content=?, status='failed' WHERE id=?",
                      (f"❌ Erro GenAI: {str(e)[:400]}", mid))

MAX_UPLOAD_FILES = 5
MAX_UPLOAD_SIZE = 10 * 1024 * 1024  # 10MB
IMAGE_MIMES = {"image/png", "image/jpeg", "image/gif", "image/webp", "image/bmp"}
DOC_MIMES = {"application/pdf"}


@app.post("/api/chat/upload")
async def chat_with_files(
    bg: BackgroundTasks,
    message: str = Form(""),
    session_id: Optional[str] = Form(None),
    genai_config_id: Optional[str] = Form(None),
    model_id: Optional[str] = Form(None),
    oci_config_id: Optional[str] = Form(None),
    genai_region: Optional[str] = Form(None),
    compartment_id: Optional[str] = Form(None),
    use_tools: Optional[bool] = Form(True),
    temperature: Optional[float] = Form(None),
    max_tokens: Optional[int] = Form(None),
    top_p: Optional[float] = Form(None),
    top_k: Optional[int] = Form(None),
    frequency_penalty: Optional[float] = Form(None),
    presence_penalty: Optional[float] = Form(None),
    reasoning_effort: Optional[str] = Form(None),
    files: List[UploadFile] = File(default=[]),
    u=Depends(current_user),
):
    if len(files) > MAX_UPLOAD_FILES:
        raise HTTPException(400, f"Máximo {MAX_UPLOAD_FILES} arquivos por mensagem")

    attachments = []
    file_names = []
    for f in files:
        data = await f.read()
        if len(data) > MAX_UPLOAD_SIZE:
            raise HTTPException(400, f"Arquivo {f.filename} excede 10MB")
        mime = f.content_type or "application/octet-stream"
        b64 = base64.b64encode(data).decode()
        data_uri = f"data:{mime};base64,{b64}"
        if mime in IMAGE_MIMES:
            attachments.append({"type": "image", "mime": mime, "data_uri": data_uri})
        elif mime in DOC_MIMES:
            attachments.append({"type": "document", "mime": mime, "data_uri": data_uri})
        else:
            try:
                text = data.decode("utf-8", errors="replace")
            except Exception as e:
                log.warning(f"UTF-8 decode failed for file attachment, falling back to latin-1: {e}")
                text = data.decode("latin-1", errors="replace")
            message = f"{message}\n\n--- Conteúdo de {f.filename} ---\n{text[:50000]}"
        file_names.append(f.filename)

    msg = ChatMsg(
        message=message or "Analise os arquivos anexados.",
        session_id=session_id,
        genai_config_id=genai_config_id,
        model_id=model_id,
        oci_config_id=oci_config_id,
        genai_region=genai_region,
        compartment_id=compartment_id,
        use_tools=use_tools if use_tools is not None else True,
        temperature=temperature,
        max_tokens=max_tokens,
        top_p=top_p,
        top_k=top_k,
        frequency_penalty=frequency_penalty,
        presence_penalty=presence_penalty,
        reasoning_effort=reasoning_effort,
    )

    sid, mid_or_result, genai_cfg = _chat_start(msg, u, attachments=attachments if attachments else None)
    if genai_cfg is None:
        return mid_or_result  # immediate fallback response

    if file_names:
        with db() as c:
            c.execute("UPDATE chat_messages SET content = content || ? WHERE session_id=? AND role='user' AND status='done' ORDER BY created_at DESC LIMIT 1",
                      (f"\n[📎 {', '.join(file_names)}]", sid))

    bg.add_task(_chat_background, mid_or_result, sid, msg, dict(u), genai_cfg, attachments if attachments else None)
    return {"message_id": mid_or_result, "session_id": sid, "status": "processing"}


@app.post("/api/chat")
async def chat(msg: ChatMsg, bg: BackgroundTasks, u=Depends(current_user)):
    sid, mid_or_result, genai_cfg = _chat_start(msg, u)
    if genai_cfg is None:
        return mid_or_result  # immediate fallback response
    bg.add_task(_chat_background, mid_or_result, sid, msg, dict(u), genai_cfg)
    return {"message_id": mid_or_result, "session_id": sid, "status": "processing"}


@app.get("/api/chat/{mid}/status")
async def chat_message_status(mid: str, u=Depends(current_user)):
    with db() as c:
        r = c.execute("SELECT id, session_id, role, content, model_id, status FROM chat_messages WHERE id=?", (mid,)).fetchone()
    if not r:
        raise HTTPException(404, "Message not found")
    return dict(r)


def _agent_respond(msg, user):
    m = msg.lower().strip()
    if any(k in m for k in ["status","health","como está","saúde"]):
        cli = "✅ Instalado" if shutil.which("oci") else "❌ Não instalado"
        with db() as c:
            nc=c.execute("SELECT COUNT(*) n FROM oci_configs").fetchone()["n"]
            nr=c.execute("SELECT COUNT(*) n FROM reports").fetchone()["n"]
            nu=c.execute("SELECT COUNT(*) n FROM users WHERE is_active=1").fetchone()["n"]
            nm=c.execute("SELECT COUNT(*) n FROM mcp_servers WHERE is_active=1").fetchone()["n"]
            ng=c.execute("SELECT COUNT(*) n FROM genai_configs").fetchone()["n"]
        return (f"📊 **Status do Sistema**\n\n• OCI CLI: {cli}\n• Configs OCI: {nc}\n• GenAI Models: {ng}\n• MCP Servers: {nm}\n• Relatórios: {nr}\n• Usuários ativos: {nu}\n• Servidor: ✅ Online\n• Versão: v{VERSION}")
    if any(k in m for k in ["ajuda","help","comandos"]):
        return ("🤖 **Comandos disponíveis:**\n\n• `status` — Status do sistema\n• `listar configs` — Configurações OCI\n• `verificar cis` — Checks CIS 3.0\n• `modelos` — Modelos GenAI disponíveis\n• `ajuda` — Esta mensagem\n\n💡 Configure um modelo GenAI para chat com IA.")
    if any(k in m for k in ["modelo","modelos","genai"]):
        lines = ["🧠 **Modelos OCI Generative AI disponíveis:**\n"]
        for mid, info in GENAI_MODELS.items():
            lines.append(f"• `{mid}` — {info['name']} ({info['provider']})")
        lines.append("\nConfigure em **GenAI Config** para usar no chat.")
        return "\n".join(lines)
    if any(k in m for k in ["cis","benchmark","checks","verificar"]):
        return ("🔒 **CIS OCI Foundations Benchmark 3.0**\n\n54 controles em 8 domínios:\n• IAM: 17 controles\n• Networking: 8 controles\n• Compute: 3 controles\n• Logging & Monitoring: 18 controles\n• Storage: 6 controles\n• Asset Management: 2 controles\n\nConfigure OCI e execute um relatório na aba **Report**.")
    return ("Sou o **AI Agent v" + VERSION + "** — Infrastructure & Security Engineer. Sem modelo GenAI configurado, uso respostas locais.\n\n"
            "Para chat com IA:\n1. Configure **OCI Credentials**\n2. Configure **GenAI** com modelo e região\n3. Selecione o modelo no chat\n\nDigite **ajuda** para ver os comandos.")

@app.get("/api/chat/sessions")
async def list_chat_sessions(agent_type: str = "chat", limit: int = 50, u=Depends(current_user)):
    with db() as c:
        rows = c.execute(
            """SELECT cs.id, cs.title, cs.agent_type, cs.created_at, cs.updated_at,
               (SELECT COUNT(*) FROM chat_messages cm WHERE cm.session_id=cs.id) as message_count
               FROM chat_sessions cs WHERE cs.user_id=? AND cs.agent_type=?
               ORDER BY cs.updated_at DESC LIMIT ?""",
            (u["id"], agent_type, limit)).fetchall()
    return [dict(r) for r in rows]


@app.get("/api/chat/sessions/{sid}/messages")
async def get_session_messages(sid: str, skip: int = Query(0, ge=0), limit: int = Query(100, ge=1, le=500), u=Depends(current_user)):
    with db() as c:
        session = c.execute("SELECT * FROM chat_sessions WHERE id=? AND user_id=?", (sid, u["id"])).fetchone()
        if not session:
            raise HTTPException(404, "Session not found")
        total = c.execute(
            "SELECT COUNT(*) as cnt FROM chat_messages "
            "WHERE session_id=? AND status='done'", (sid,)).fetchone()["cnt"]
        msgs = c.execute(
            "SELECT id, role, content, model_id, status, created_at FROM chat_messages "
            "WHERE session_id=? AND status='done' ORDER BY created_at ASC LIMIT ? OFFSET ?", (sid, limit, skip)).fetchall()
    return {"session": dict(session), "messages": [dict(m) for m in msgs], "total": total}


@app.put("/api/chat/sessions/{sid}/title")
async def rename_session(sid: str, req: dict = Body(...), u=Depends(current_user)):
    with db() as c:
        c.execute("UPDATE chat_sessions SET title=? WHERE id=? AND user_id=?",
                  (req.get("title", "")[:120], sid, u["id"]))
    return {"ok": True}


@app.delete("/api/chat/{sid}")
async def clear_chat(sid, u=Depends(current_user)):
    with db() as c:
        # Delete associated terraform workspaces and their files
        ws_rows = c.execute("SELECT id FROM terraform_workspaces WHERE session_id=? AND user_id=?", (sid, u["id"])).fetchall()
        for ws in ws_rows:
            wdir = TERRAFORM_DIR / ws["id"]
            if wdir.exists():
                shutil.rmtree(wdir, ignore_errors=True)
        c.execute("DELETE FROM terraform_workspaces WHERE session_id=? AND user_id=?", (sid, u["id"]))
        c.execute("DELETE FROM chat_messages WHERE session_id=? AND user_id=?", (sid, u["id"]))
        c.execute("DELETE FROM chat_sessions WHERE id=? AND user_id=?", (sid, u["id"]))
    return {"ok": True}


# ── Terraform Agent ───────────────────────────────────────────────────────────

def _fetch_compartment_resources(oci_config_id: str, compartment_id: str, region: str = None) -> dict:
    """Fetch existing OCI resources in a compartment for terraform context."""
    import oci
    config = _get_oci_config(oci_config_id)
    if region:
        config["region"] = region
    resources = {}
    try:
        vn = oci.core.VirtualNetworkClient(config)
        vcns = vn.list_vcns(compartment_id).data
        resources["vcns"] = [{"id": v.id, "display_name": v.display_name, "cidr_blocks": v.cidr_blocks, "state": v.lifecycle_state} for v in vcns if v.lifecycle_state == "AVAILABLE"]
        subs = vn.list_subnets(compartment_id).data
        resources["subnets"] = [{"id": s.id, "display_name": s.display_name, "cidr_block": s.cidr_block, "vcn_id": s.vcn_id, "public": not s.prohibit_public_ip_on_vnic, "state": s.lifecycle_state} for s in subs if s.lifecycle_state == "AVAILABLE"]
        igws = vn.list_internet_gateways(compartment_id).data
        resources["internet_gateways"] = [{"id": g.id, "display_name": g.display_name, "vcn_id": g.vcn_id, "enabled": g.is_enabled} for g in igws if g.lifecycle_state == "AVAILABLE"]
        ngws = vn.list_nat_gateways(compartment_id).data
        resources["nat_gateways"] = [{"id": g.id, "display_name": g.display_name, "vcn_id": g.vcn_id} for g in ngws if g.lifecycle_state == "AVAILABLE"]
        rts = vn.list_route_tables(compartment_id).data
        resources["route_tables"] = [{"id": r.id, "display_name": r.display_name, "vcn_id": r.vcn_id} for r in rts if r.lifecycle_state == "AVAILABLE"]
        sls = vn.list_security_lists(compartment_id).data
        resources["security_lists"] = [{"id": s.id, "display_name": s.display_name, "vcn_id": s.vcn_id} for s in sls if s.lifecycle_state == "AVAILABLE"]
    except Exception as e:
        log.warning(f"Failed to fetch networking resources: {e}")
    try:
        compute = oci.core.ComputeClient(config)
        insts = compute.list_instances(compartment_id).data
        resources["instances"] = [{"id": i.id, "display_name": i.display_name, "shape": i.shape, "state": i.lifecycle_state} for i in insts if i.lifecycle_state in ("RUNNING", "STOPPED")]
    except Exception as e:
        log.warning(f"Failed to fetch compute resources: {e}")
    try:
        db_client = oci.database.DatabaseClient(config)
        adbs = db_client.list_autonomous_databases(compartment_id).data
        resources["autonomous_databases"] = [{"id": a.id, "display_name": a.display_name, "db_name": a.db_name, "state": a.lifecycle_state, "is_free_tier": a.is_free_tier} for a in adbs if a.lifecycle_state in ("AVAILABLE", "STOPPED")]
    except Exception as e:
        log.warning(f"Failed to fetch database resources: {e}")
    try:
        bs = oci.core.BlockstorageClient(config)
        vols = bs.list_volumes(compartment_id).data
        resources["block_volumes"] = [{"id": v.id, "display_name": v.display_name, "size_in_gbs": v.size_in_gbs, "state": v.lifecycle_state} for v in vols if v.lifecycle_state == "AVAILABLE"]
    except Exception as e:
        log.warning(f"Failed to fetch block storage resources: {e}")
    try:
        lb_client = oci.load_balancer.LoadBalancerClient(config)
        lbs = lb_client.list_load_balancers(compartment_id).data
        resources["load_balancers"] = [{"id": l.id, "display_name": l.display_name, "shape_name": l.shape_name, "state": l.lifecycle_state} for l in lbs if l.lifecycle_state == "ACTIVE"]
    except Exception as e:
        log.warning(f"Failed to fetch load balancer resources: {e}")
    return resources


def _build_resource_context(resources: dict) -> str:
    """Build a text summary of existing resources for injection into system prompt."""
    lines = ["## RECURSOS OCI EXISTENTES NO COMPARTMENT"]
    total = 0
    resource_labels = {
        "vcns": ("VCNs", lambda r: f"  - {r['display_name']} (CIDR: {','.join(r.get('cidr_blocks') or [])}) [OCID: {r['id'][:30]}...]"),
        "subnets": ("Subnets", lambda r: f"  - {r['display_name']} (CIDR: {r['cidr_block']}, {'pública' if r.get('public') else 'privada'}, VCN: {r['vcn_id'][:30]}...)"),
        "internet_gateways": ("Internet Gateways", lambda r: f"  - {r['display_name']} (VCN: {r['vcn_id'][:30]}...)"),
        "nat_gateways": ("NAT Gateways", lambda r: f"  - {r['display_name']} (VCN: {r['vcn_id'][:30]}...)"),
        "route_tables": ("Route Tables", lambda r: f"  - {r['display_name']} (VCN: {r['vcn_id'][:30]}...)"),
        "security_lists": ("Security Lists", lambda r: f"  - {r['display_name']} (VCN: {r['vcn_id'][:30]}...)"),
        "instances": ("Compute Instances", lambda r: f"  - {r['display_name']} (Shape: {r['shape']}, Estado: {r['state']})"),
        "autonomous_databases": ("Autonomous Databases", lambda r: f"  - {r['display_name']} (DB: {r['db_name']}, Free Tier: {r.get('is_free_tier', False)})"),
        "block_volumes": ("Block Volumes", lambda r: f"  - {r['display_name']} ({r.get('size_in_gbs', '?')} GB)"),
        "load_balancers": ("Load Balancers", lambda r: f"  - {r['display_name']} (Shape: {r.get('shape_name', '?')})"),
    }
    for key, (label, formatter) in resource_labels.items():
        items = resources.get(key, [])
        if items:
            total += len(items)
            lines.append(f"\n**{label}** ({len(items)}):")
            for item in items[:15]:  # limit to 15 per category
                lines.append(formatter(item))
            if len(items) > 15:
                lines.append(f"  ... e mais {len(items) - 15}")
    if total == 0:
        lines.append("\nNenhum recurso encontrado neste compartment. Todos os recursos serão novos.")
    else:
        lines.append(f"\n**Total: {total} recursos existentes.** REUTILIZE-OS sempre que possível usando data sources.")
    return "\n".join(lines)


@app.post("/api/oci/instances/{instance_id}/action")
async def oci_instance_action(instance_id: str, req: dict, u=Depends(current_user)):
    action = req.get("action", "").upper()
    oci_config_id = req.get("oci_config_id", "")
    region = req.get("region")
    if action not in ("START", "STOP"):
        raise HTTPException(400, "Ação inválida. Use START ou STOP.")
    if not oci_config_id:
        raise HTTPException(400, "oci_config_id obrigatório")
    try:
        import oci
        config = _get_oci_config(oci_config_id)
        if region:
            config["region"] = region
        compute = oci.core.ComputeClient(config)
        compute.instance_action(instance_id, action)
        _audit(u["id"], u["username"], f"instance_{action.lower()}", instance_id)
        return {"ok": True, "action": action, "instance_id": instance_id}
    except Exception as e:
        raise HTTPException(500, str(e)[:500])


@app.post("/api/oci/autonomous-databases/{adb_id}/action")
async def oci_adb_action(adb_id: str, req: dict, u=Depends(current_user)):
    action = req.get("action", "").lower()
    oci_config_id = req.get("oci_config_id", "")
    region = req.get("region")
    if action not in ("start", "stop"):
        raise HTTPException(400, "Ação inválida. Use start ou stop.")
    if not oci_config_id:
        raise HTTPException(400, "oci_config_id obrigatório")
    try:
        import oci
        config = _get_oci_config(oci_config_id)
        if region:
            config["region"] = region
        db_client = oci.database.DatabaseClient(config)
        if action == "start":
            db_client.start_autonomous_database(adb_id)
        else:
            db_client.stop_autonomous_database(adb_id)
        _audit(u["id"], u["username"], f"adb_{action}", adb_id)
        return {"ok": True, "action": action, "adb_id": adb_id}
    except Exception as e:
        raise HTTPException(500, str(e)[:500])


@app.post("/api/oci/autonomous-databases/{adb_id}/update-network-access")
async def oci_adb_update_network(adb_id: str, req: dict, u=Depends(current_user)):
    oci_config_id = req.get("oci_config_id", "")
    ip = req.get("ip", "")
    region = req.get("region")
    if not oci_config_id:
        raise HTTPException(400, "oci_config_id obrigatório")
    if not ip:
        raise HTTPException(400, "ip obrigatório")
    try:
        import oci
        config = _get_oci_config(oci_config_id)
        if region:
            config["region"] = region
        db_client = oci.database.DatabaseClient(config)
        adb = db_client.get_autonomous_database(adb_id).data
        current_acl = adb.whitelisted_ips or []
        # Build new ACL: keep existing entries, add new IP if not present
        ip_cidr = ip if "/" in ip else ip + "/32"
        new_acl = list(set(current_acl) | {ip_cidr})
        db_client.update_autonomous_database(
            adb_id,
            oci.database.models.UpdateAutonomousDatabaseDetails(whitelisted_ips=new_acl))
        _audit(u["id"], u["username"], "adb_update_network", adb_id, f"ip={ip_cidr}")
        return {"ok": True, "adb_id": adb_id, "ip_added": ip_cidr, "acl": new_acl}
    except Exception as e:
        raise HTTPException(500, str(e)[:500])


@app.post("/api/oci/db-systems/{db_system_id}/action")
async def oci_db_system_action(db_system_id: str, req: dict, u=Depends(current_user)):
    action = req.get("action", "").upper()
    oci_config_id = req.get("oci_config_id", "")
    region = req.get("region")
    if action not in ("START", "STOP"):
        raise HTTPException(400, "Ação inválida. Use START ou STOP.")
    if not oci_config_id:
        raise HTTPException(400, "oci_config_id obrigatório")
    try:
        import oci
        config = _get_oci_config(oci_config_id)
        if region: config["region"] = region
        db_client = oci.database.DatabaseClient(config)
        if action == "START":
            db_client.start_db_system(db_system_id)
        else:
            db_client.stop_db_system(db_system_id)
        _audit(u["id"], u["username"], f"db_system_{action.lower()}", db_system_id)
        return {"ok": True, "action": action, "db_system_id": db_system_id}
    except Exception as e:
        raise HTTPException(500, str(e)[:500])


@app.post("/api/oci/mysql-db-systems/{db_system_id}/action")
async def oci_mysql_action(db_system_id: str, req: dict, u=Depends(current_user)):
    action = req.get("action", "").lower()
    oci_config_id = req.get("oci_config_id", "")
    region = req.get("region")
    if action not in ("start", "stop"):
        raise HTTPException(400, "Ação inválida. Use start ou stop.")
    if not oci_config_id:
        raise HTTPException(400, "oci_config_id obrigatório")
    try:
        import oci
        config = _get_oci_config(oci_config_id)
        if region: config["region"] = region
        mysql = oci.mysql.DbSystemClient(config)
        if action == "start":
            mysql.start_db_system(db_system_id)
        else:
            shutdown_type = req.get("shutdown_type", "SLOW")
            mysql.stop_db_system(db_system_id, oci.mysql.models.StopDbSystemDetails(shutdown_type=shutdown_type))
        _audit(u["id"], u["username"], f"mysql_{action}", db_system_id)
        return {"ok": True, "action": action, "db_system_id": db_system_id}
    except Exception as e:
        raise HTTPException(500, str(e)[:500])


@app.post("/api/oci/container-instances/{ci_id}/action")
async def oci_container_instance_action(ci_id: str, req: dict, u=Depends(current_user)):
    action = req.get("action", "").lower()
    oci_config_id = req.get("oci_config_id", "")
    region = req.get("region")
    if action not in ("start", "stop"):
        raise HTTPException(400, "Ação inválida. Use start ou stop.")
    if not oci_config_id:
        raise HTTPException(400, "oci_config_id obrigatório")
    try:
        import oci
        config = _get_oci_config(oci_config_id)
        if region: config["region"] = region
        ci = oci.container_instances.ContainerInstanceClient(config)
        if action == "start":
            ci.start_container_instance(ci_id)
        else:
            ci.stop_container_instance(ci_id)
        _audit(u["id"], u["username"], f"container_instance_{action}", ci_id)
        return {"ok": True, "action": action, "container_instance_id": ci_id}
    except Exception as e:
        raise HTTPException(500, str(e)[:500])


@app.get("/api/oci/my-ip")
async def get_my_ip(request: Request):
    """Return the caller's public IP address."""
    forwarded = request.headers.get("x-forwarded-for", "")
    ip = forwarded.split(",")[0].strip() if forwarded else (request.client.host if request.client else "")
    return {"ip": ip}


@app.get("/api/terraform/resources")
async def tf_list_resources(oci_config_id: str = Query(...), compartment_id: str = Query(...), region: str = Query(None), u=Depends(current_user)):
    """List existing OCI resources in a compartment for terraform context."""
    try:
        loop = asyncio.get_event_loop()
        resources = await loop.run_in_executor(
            _chat_executor, partial(_fetch_compartment_resources, oci_config_id, compartment_id, region))
        return resources
    except Exception as e:
        raise HTTPException(500, str(e)[:500])


TFP_SYSTEM_PROMPT = """Você é um arquiteto sênior de infraestrutura OCI com profundo conhecimento do Terraform OCI Provider.
O usuário vai descrever a infraestrutura desejada em linguagem natural. Sua tarefa é gerar um **prompt detalhado e estruturado** que será enviado a um agente Terraform para criar o código HCL.

### Formato do Prompt Gerado
Retorne APENAS o prompt estruturado (não gere código Terraform). Use markdown:

1. **Título**: Uma linha descrevendo o projeto (ex: "## Infraestrutura Multi-Region HA para Aplicação Web")
2. **Arquitetura**: Diagrama textual ou descrição da topologia
3. **Recursos por Categoria**: Organizados em seções ## (Networking, Compute, Storage, Database, Security, Observability)
   - Para cada recurso: nome, especificações técnicas, relacionamentos
4. **Networking**: Sempre inclua CIDRs (10.0.0.0/16 para VCN, /24 para subnets), gateways necessários, route tables, security lists/NSGs
5. **Dependências**: Liste dependências entre recursos (ex: "Compute depende de Subnet, que depende de VCN")
6. **Requisitos Técnicos**: Seção final com regras para o agente Terraform:
   - Separação em arquivos (provider.tf, variables.tf, vcn.tf, subnets.tf, compute.tf, outputs.tf)
   - Variáveis obrigatórias (compartment_id, region, ssh_public_key, etc.)
   - Naming convention (ex: proj-env-resource)
   - Outputs necessários (IPs, OCIDs, endpoints)
   - Tags padrão (Environment, Project, ManagedBy=Terraform)

### Regras de Inferência
- Se pedir VCN, inclua automaticamente: subnets (pública + privada), internet gateway, NAT gateway, service gateway, route tables, security lists
- Se pedir Compute, inclua: boot volume, NSG, cloud-init básico, shape e imagem
- Se pedir Database, inclua: subnet privada dedicada, NSG com porta do DB, backup policy
- Se pedir OKE, inclua: VCN com topologia para K8s (API endpoint subnet, workers subnet, pods subnet, services LB subnet)
- Se mencionar multi-region, use providers aliased e detalhe RPC/DRG
- Se mencionar HA/DR, inclua redundância cross-AD ou cross-region
- Se mencionar segurança/CIS, inclua Vault, Cloud Guard, WAF, logging, encryption at rest

### Restrições do OCI Provider
- RPC (Remote Peering Connection): NÃO usar oci_core_drg_attachment para RPC. O attachment é criado automaticamente pelo recurso oci_core_remote_peering_connection
- Cada VCN suporta apenas 1 DRG attachment — não criar duplicados
- DRG attachment type para VCN é "VCN", não "REMOTE_PEERING_CONNECTION"

### Restrições do Workspace
- NUNCA sugira o uso de `module` blocks. O workspace é flat (diretório único, sem subdiretórios). Toda infraestrutura deve ser definida com `resource` e `data` blocks diretamente.
- Variáveis devem ser declaradas SOMENTE em `variables.tf`. Nunca duplicar declarações de variáveis entre arquivos.

### Tom
- Seja técnico e preciso
- Use português brasileiro
- Não gere código, apenas o prompt estruturado"""

class TfPromptReq(BaseModel):
    message: str
    genai_config: Optional[dict] = None
    history: Optional[list] = None
    session_id: Optional[str] = None

@app.post("/api/terraform/generate-prompt")
async def tf_generate_prompt(req: TfPromptReq, bg: BackgroundTasks, u=Depends(current_user)):
    gc = None
    if req.genai_config:
        if req.genai_config.get("genai_config_id"):
            with db() as c:
                row = c.execute("SELECT * FROM genai_configs WHERE id=?", (req.genai_config["genai_config_id"],)).fetchone()
            if row: gc = dict(row)
        elif req.genai_config.get("oci_config_id"):
            oci_id = req.genai_config["oci_config_id"]
            with db() as c:
                oc = c.execute("SELECT * FROM oci_configs WHERE id=?", (oci_id,)).fetchone()
            if oc:
                region = req.genai_config.get("genai_region") or oc["region"]
                compartment = _safe_dec(dict(oc).get("compartment_id") or oc["tenancy_ocid"])
                gc = {
                    "oci_config_id": oci_id, "model_id": req.genai_config.get("model_id", "openai.gpt-4.1"),
                    "model_ocid": None, "compartment_id": compartment, "genai_region": region,
                    "endpoint": f"https://inference.generativeai.{region}.oci.oraclecloud.com",
                    "serving_type": "ON_DEMAND", "dedicated_endpoint_id": None,
                    "temperature": 0.7, "max_tokens": 4000, "top_p": 0.9,
                }
    if not gc:
        with db() as c:
            row = c.execute("SELECT * FROM genai_configs WHERE is_default=1").fetchone()
            if not row:
                row = c.execute("SELECT * FROM genai_configs LIMIT 1").fetchone()
        if row: gc = dict(row)
    if not gc:
        raise HTTPException(400, "Nenhuma configuração GenAI disponível")
    # Session persistence
    is_new = not req.session_id
    sid = req.session_id or str(uuid.uuid4())
    with db() as c:
        c.execute("INSERT INTO chat_messages (id,session_id,user_id,role,content,model_id,status) VALUES (?,?,?,?,?,?,?)",
                  (str(uuid.uuid4()), sid, u["id"], "user", req.message, gc.get("model_id"), "done"))
        if is_new:
            title = (req.message or "Prompt Generator")[:80].strip()
            c.execute("INSERT OR IGNORE INTO chat_sessions (id,user_id,agent_type,title) VALUES (?,?,?,?)",
                      (sid, u["id"], "tf-prompt", title))
        else:
            c.execute("UPDATE chat_sessions SET updated_at=datetime('now') WHERE id=?", (sid,))
    # Load TF resource reference (compact — same as Terraform Agent)
    tf_ref = _load_tf_resource_reference()
    system_with_ref = TFP_SYSTEM_PROMPT
    if tf_ref:
        sections = []
        for line in tf_ref.split('\n'):
            if line.startswith('## All Resource Types'):
                break
            sections.append(line)
        ref_compact = '\n'.join(sections).strip()
        if ref_compact:
            system_with_ref += "\n\n### Referência de Recursos OCI Terraform (gerado do provider schema)\n" + \
                "Use EXATAMENTE estes nomes de resource types. Se o recurso não estiver nesta lista, ele NÃO EXISTE no provider.\n\n" + \
                ref_compact

    # Detect resource types from user message + history and fetch official docs
    detect_text = req.message
    if req.history:
        for h in req.history[-3:]:
            detect_text += "\n" + (h.get("content", "") or "")
    resource_types = _detect_tf_resource_types(detect_text)
    if resource_types:
        docs_ctx = _get_tf_docs_for_resources(resource_types)
        if docs_ctx:
            system_with_ref += "\n\n" + docs_ctx
            log.info(f"TF Prompt Generator: injected {len(resource_types)} resource docs ({len(docs_ctx)} chars)")

    gc["system_prompt"] = system_with_ref
    gc["temperature"] = 0.7
    gc["max_tokens"] = 4000
    # Build history from conversation (normalize roles to lowercase for _call_genai)
    hist = None
    if req.history:
        hist = [{"role": "user" if m.get("role","").upper() in ("USER","user") else "assistant",
                 "content": m.get("content", "")} for m in req.history]
    # Async background processing — same pattern as Chat/Terraform agents
    mid = str(uuid.uuid4())
    with db() as c:
        c.execute("INSERT INTO chat_messages (id,session_id,user_id,role,content,model_id,status) VALUES (?,?,?,?,?,?,?)",
                  (mid, sid, u["id"], "assistant", "", gc.get("model_id"), "processing"))
    def _tfp_background():
        try:
            answer, _, _ = _call_genai(gc, req.message, history=hist)
            with db() as c:
                c.execute("UPDATE chat_messages SET content=?, status='done' WHERE id=?", (answer, mid))
            log.info(f"TF Prompt Generator completed: mid={mid} len={len(answer)}")
        except Exception as e:
            log.error(f"tf_generate_prompt error: {e}")
            with db() as c:
                c.execute("UPDATE chat_messages SET content=?, status='failed' WHERE id=?", (str(e)[:500], mid))
    bg.add_task(_tfp_background)
    return {"message_id": mid, "session_id": sid, "status": "processing"}

@app.post("/api/terraform/chat")
async def terraform_chat(msg: ChatMsg, bg: BackgroundTasks, u=Depends(current_user)):
    sid, mid_or_result, genai_cfg = _chat_start(msg, u, agent_type="terraform")
    if genai_cfg is None:
        return mid_or_result
    bg.add_task(_chat_background, mid_or_result, sid, msg, dict(u), genai_cfg, None, "terraform")
    return {"message_id": mid_or_result, "session_id": sid, "status": "processing"}


class TfWorkspaceReq(BaseModel):
    session_id: str
    oci_config_id: str
    compartment_id: Optional[str] = None
    name: str = "workspace"
    tf_code: str


@app.post("/api/terraform/workspaces")
async def tf_create_workspace(req: TfWorkspaceReq, u=Depends(current_user)):
    wid = str(uuid.uuid4())
    with db() as c:
        c.execute(
            "INSERT INTO terraform_workspaces (id,user_id,session_id,oci_config_id,compartment_id,name,tf_code,status) VALUES (?,?,?,?,?,?,?,?)",
            (wid, u["id"], req.session_id, req.oci_config_id, req.compartment_id, req.name, req.tf_code, "draft"))
    return {"id": wid, "status": "draft"}


@app.get("/api/terraform/workspaces")
async def tf_list_workspaces(u=Depends(current_user)):
    with db() as c:
        rows = c.execute(
            """SELECT tw.id,tw.name,tw.session_id,tw.oci_config_id,tw.compartment_id,tw.status,
                      tw.plan_output,tw.apply_output,tw.destroy_output,tw.error,tw.created_at,tw.updated_at,
                      cs.title as session_title
               FROM terraform_workspaces tw
               INNER JOIN chat_sessions cs ON cs.id = tw.session_id AND cs.user_id = tw.user_id
               WHERE tw.user_id=? ORDER BY tw.updated_at DESC""",
            (u["id"],)).fetchall()
    return [dict(r) for r in rows]


@app.get("/api/terraform/workspaces/{wid}")
async def tf_get_workspace(wid: str, u=Depends(current_user)):
    with db() as c:
        r = c.execute("SELECT * FROM terraform_workspaces WHERE id=? AND user_id=?", (wid, u["id"])).fetchone()
    if not r: raise HTTPException(404)
    return dict(r)


@app.put("/api/terraform/workspaces/{wid}/code")
async def tf_update_code(wid: str, req: dict, u=Depends(current_user)):
    code = req.get("tf_code", "")
    with db() as c:
        r = c.execute("SELECT id FROM terraform_workspaces WHERE id=? AND user_id=?", (wid, u["id"])).fetchone()
        if not r: raise HTTPException(404)
        c.execute("UPDATE terraform_workspaces SET tf_code=?, status='draft', updated_at=datetime('now') WHERE id=?", (code, wid))
    return {"ok": True}


@app.post("/api/terraform/workspaces/{wid}/plan")
async def tf_run_plan(wid: str, bg: BackgroundTasks, u=Depends(current_user)):
    with db() as c:
        ws = c.execute("SELECT * FROM terraform_workspaces WHERE id=? AND user_id=?", (wid, u["id"])).fetchone()
    if not ws: raise HTTPException(404)
    if ws["status"] in ("planning", "applying", "destroying"):
        raise HTTPException(400, f"Workspace is {ws['status']}")
    with db() as c:
        c.execute("UPDATE terraform_workspaces SET status='planning', plan_output='', apply_output='', destroy_output='', error=NULL, updated_at=datetime('now') WHERE id=?", (wid,))
    bg.add_task(_terraform_exec, wid, "plan", dict(u))
    return {"status": "planning"}


@app.post("/api/terraform/workspaces/{wid}/apply")
async def tf_run_apply(wid: str, bg: BackgroundTasks, u=Depends(current_user)):
    with db() as c:
        ws = c.execute("SELECT * FROM terraform_workspaces WHERE id=? AND user_id=?", (wid, u["id"])).fetchone()
    if not ws: raise HTTPException(404)
    if ws["status"] not in ("planned", "applied", "destroyed", "failed"):
        raise HTTPException(400, f"Cannot apply in status {ws['status']}. Run plan first.")
    with db() as c:
        c.execute("UPDATE terraform_workspaces SET status='applying', apply_output='', error=NULL, updated_at=datetime('now') WHERE id=?", (wid,))
    bg.add_task(_terraform_exec, wid, "apply", dict(u))
    return {"status": "applying"}


@app.post("/api/terraform/workspaces/{wid}/destroy")
async def tf_run_destroy(wid: str, req: dict, bg: BackgroundTasks, u=Depends(current_user)):
    if req.get("confirm") != "DESTROY":
        raise HTTPException(400, "Confirmação obrigatória: envie {\"confirm\": \"DESTROY\"}")
    with db() as c:
        ws = c.execute("SELECT * FROM terraform_workspaces WHERE id=? AND user_id=?", (wid, u["id"])).fetchone()
    if not ws: raise HTTPException(404)
    if ws["status"] in ("planning", "applying", "destroying"):
        raise HTTPException(400, f"Workspace is {ws['status']}")
    with db() as c:
        c.execute("UPDATE terraform_workspaces SET status='destroying', destroy_output='', error=NULL, updated_at=datetime('now') WHERE id=?", (wid,))
    bg.add_task(_terraform_exec, wid, "destroy", dict(u))
    return {"status": "destroying"}


@app.get("/api/terraform/workspaces/{wid}/status")
async def tf_workspace_status(wid: str, u=Depends(current_user)):
    with db() as c:
        r = c.execute("SELECT status, plan_output, apply_output, destroy_output, error, updated_at FROM terraform_workspaces WHERE id=? AND user_id=?",
                      (wid, u["id"])).fetchone()
    if not r: raise HTTPException(404)
    return dict(r)


@app.get("/api/terraform/workspaces/{wid}/download")
async def tf_download(wid: str, token: str = Query(None), cred: HTTPAuthorizationCredentials = Depends(HTTPBearer(auto_error=False))):
    u = _user_from_token(token) if token else (await current_user(cred) if cred else None)
    if not u: raise HTTPException(401, "Not authenticated")
    with db() as c:
        r = c.execute("SELECT tf_code, name FROM terraform_workspaces WHERE id=? AND user_id=?", (wid, u["id"])).fetchone()
    if not r or not r["tf_code"]: raise HTTPException(404, "No code found")
    from starlette.responses import Response
    import re as _re
    parts = _re.split(r'^//\s*filename:\s*(\S+)\s*$', r["tf_code"], flags=_re.MULTILINE)
    if len(parts) >= 3:
        import io, zipfile
        buf = io.BytesIO()
        with zipfile.ZipFile(buf, 'w', zipfile.ZIP_DEFLATED) as zf:
            if parts[0].strip():
                zf.writestr("main.tf", parts[0].strip())
            for i in range(1, len(parts), 2):
                fname = parts[i].strip().replace("/", "_").replace("..", "_")
                content = parts[i + 1].strip() if i + 1 < len(parts) else ""
                if fname and content:
                    zf.writestr(fname, content)
        buf.seek(0)
        ws_name = r["name"] or "terraform"
        return Response(content=buf.read(), media_type="application/zip",
                        headers={"Content-Disposition": f'attachment; filename="{ws_name}.zip"'})
    return Response(content=r["tf_code"], media_type="text/plain",
                    headers={"Content-Disposition": f'attachment; filename="main.tf"'})


@app.post("/api/terraform/workspaces/{wid}/cancel")
async def tf_cancel(wid: str, u=Depends(current_user)):
    proc = _running_terraform.get(wid)
    if proc:
        proc.terminate()
        try:
            await asyncio.wait_for(proc.wait(), timeout=5)
        except asyncio.TimeoutError:
            proc.kill()
    with db() as c:
        c.execute("UPDATE terraform_workspaces SET status='failed', error='Cancelado pelo usuário', updated_at=datetime('now') WHERE id=?", (wid,))
    _running_terraform.pop(wid, None)
    return {"ok": True}


@app.delete("/api/terraform/workspaces/{wid}")
async def tf_delete_workspace(wid: str, u=Depends(current_user)):
    with db() as c:
        c.execute("DELETE FROM terraform_workspaces WHERE id=? AND user_id=?", (wid, u["id"]))
    wdir = TERRAFORM_DIR / wid
    if wdir.exists():
        import shutil as _sh
        _sh.rmtree(wdir, ignore_errors=True)
    return {"ok": True}


@app.post("/api/terraform/refresh-reference")
async def tf_refresh_reference(u=Depends(current_user)):
    """Regenerate the OCI Terraform resource reference from provider schema (internal, triggered by UI button)."""
    loop = asyncio.get_event_loop()
    try:
        result = await asyncio.wait_for(
            loop.run_in_executor(_chat_executor, _regenerate_tf_reference),
            timeout=300)
    except asyncio.TimeoutError:
        log.error("TF reference regeneration timed out after 300s")
        raise HTTPException(504, "Geração de referência Terraform demorou demais. Tente novamente.")
    # Add status info
    p = Path(_TF_RESOURCE_REF_PATH)
    if p.exists():
        content = _load_tf_resource_reference()
        result["lines"] = content.count('\n') if content else 0
        result["updated_at"] = datetime.fromtimestamp(p.stat().st_mtime).strftime('%d/%m/%Y %H:%M')
    return result


def _fix_single_line_blocks(content: str) -> str:
    """Expand ANY single-line HCL block with multiple args into multi-line format.
    Matches both top-level (variable, resource) AND nested blocks (ingress_security_rules, route_rules, etc.)
    Does NOT match map assignments (tags = { ... }) because of the '=' before '{'."""
    import re as _re
    def _expand(m):
        header, body = m.group(1), m.group(2)
        # Split by comma first
        args = [a.strip() for a in body.split(',') if a.strip()]
        if len(args) < 2:
            # Try space-separated key=value
            args = _re.findall(r'\w+\s*=\s*(?:"[^"]*"|\S+)', body)
        if len(args) < 2:
            return m.group(0)
        indent = _re.match(r'^(\s*)', header).group(1)
        return header.rstrip() + ' {\n' + '\n'.join(indent + '  ' + a for a in args) + '\n' + indent + '}'
    return _re.sub(
        r'^(\s*[a-z]\w*(?:\s+"[^"]*")*)\s*\{\s*(.+?)\s*\}\s*$',
        _expand, content, flags=_re.MULTILINE)


def _split_tf_monolith(content: str) -> dict:
    """Split a monolithic HCL string into multiple logical files by resource type.
    Returns dict of {filename: content} or None if splitting not needed."""
    import re as _re
    content = _fix_single_line_blocks(content)
    lines = content.split('\n')
    top_blocks = []
    preamble = []
    accum = []
    in_block = False
    b_depth = 0
    cur_header = ''

    for line in lines:
        stripped = _re.sub(r'"[^"]*"', '', line)
        opens = stripped.count('{')
        closes = stripped.count('}')
        if not in_block:
            hdr = _re.match(r'^\s*(variable|output|resource|data|provider|module)\s+"', line) or \
                  _re.match(r'^\s*(locals|terraform)\s*\{', line)
            if hdr:
                in_block = True
                cur_header = line
                accum = preamble + [line]
                preamble = []
                b_depth = opens - closes
                if b_depth <= 0:
                    b_depth = 0
                if b_depth == 0 and opens > 0:
                    top_blocks.append((cur_header, '\n'.join(accum)))
                    in_block = False
                    accum = []
            else:
                preamble.append(line)
        else:
            accum.append(line)
            b_depth += opens - closes
            if b_depth <= 0:
                b_depth = 0
                top_blocks.append((cur_header, '\n'.join(accum)))
                in_block = False
                accum = []
                cur_header = ''
    if accum:
        top_blocks.append((cur_header or '', '\n'.join(accum)))

    if len(top_blocks) < 3:
        return None

    cats = {'variables': [], 'outputs': [], 'networking': [], 'compute': [], 'database': [],
            'firewall': [], 'loadbalancer': [], 'storage': [], 'iam': [], 'drg': [],
            'data': [], 'providers': [], 'other': []}
    for header, body in top_blocks:
        h = header.strip()
        if h.startswith('variable '):
            cats['variables'].append(body)
        elif h.startswith('output '):
            cats['outputs'].append(body)
        elif h.startswith('provider '):
            cats['providers'].append(body)
        elif _re.search(r'resource\s+"oci_core_(drg|remote_peering|drg_route|drg_attachment)', h):
            cats['drg'].append(body)
        elif _re.search(r'resource\s+"oci_core_(vcn|subnet|internet_gateway|nat_gateway|service_gateway|route_table|security_list|network_security_group|dhcp_options|local_peering_gateway|virtual_circuit)', h):
            cats['networking'].append(body)
        elif _re.search(r'resource\s+"oci_core_instance', h):
            cats['compute'].append(body)
        elif _re.search(r'resource\s+"oci_(database|nosql|mysql|psql)', h) or _re.search(r'resource\s+"oci_core_autonomous', h):
            cats['database'].append(body)
        elif _re.search(r'resource\s+"oci_network_firewall', h):
            cats['firewall'].append(body)
        elif _re.search(r'resource\s+"oci_(load_balancer|network_load_balancer)', h):
            cats['loadbalancer'].append(body)
        elif _re.search(r'resource\s+"oci_(objectstorage|file_storage)', h):
            cats['storage'].append(body)
        elif _re.search(r'resource\s+"oci_identity', h):
            cats['iam'].append(body)
        elif h.startswith('data '):
            cats['data'].append(body)
        else:
            cats['other'].append(body)

    result = {}
    mapping = [('variables.tf', 'variables'), ('providers.tf', 'providers'), ('networking.tf', 'networking'),
               ('drg.tf', 'drg'), ('compute.tf', 'compute'), ('database.tf', 'database'),
               ('firewall.tf', 'firewall'), ('loadbalancer.tf', 'loadbalancer'), ('storage.tf', 'storage'),
               ('iam.tf', 'iam'), ('data.tf', 'data'), ('main.tf', 'other'), ('outputs.tf', 'outputs')]
    for fname, key in mapping:
        if cats[key]:
            result[fname] = '\n\n'.join(cats[key])
    return result if len(result) >= 3 else None


def _write_tf_files(wdir: Path, tf_code: str):
    """Parse tf_code for '// filename: xxx.tf' markers and write separate files.
    If only 1-2 large files, auto-split into multiple files by resource type."""
    import re as _re
    parts = _re.split(r'^//\s*filename:\s*(\S+)\s*$', tf_code, flags=_re.MULTILINE)

    files = {}
    if len(parts) >= 3:
        if parts[0].strip():
            files['main.tf'] = parts[0].strip()
        for i in range(1, len(parts), 2):
            fname = parts[i].strip().replace("/", "_").replace("..", "_")
            content = parts[i + 1].strip() if i + 1 < len(parts) else ""
            if fname and content:
                files[fname] = content
    else:
        files['main.tf'] = tf_code

    # Auto-split: if 1-2 large files, split by resource type
    if len(files) <= 2:
        all_content = '\n\n'.join(files.values())
        if len(all_content) > 2000:
            split = _split_tf_monolith(all_content)
            if split:
                files = split
                log.info(f"Backend auto-split monolithic TF into {len(files)} files: {list(files.keys())}")

    # Deduplicate: if a resource appears in multiple files, keep only in the split file
    # This handles edge cases where monolithic + split files both exist
    if len(files) > 2:
        resource_locations = {}  # "type.name" -> [(filename, line)]
        dupes_in = set()
        for fname, content in files.items():
            for m in _re.finditer(r'^resource\s+"(\S+)"\s+"(\S+)"', content, _re.MULTILINE):
                key = f'{m.group(1)}.{m.group(2)}'
                resource_locations.setdefault(key, []).append(fname)
        # Find files that contain ONLY duplicate resources (= monolithic leftovers)
        for key, fnames in resource_locations.items():
            if len(fnames) > 1:
                # The largest file is likely the monolithic one
                largest = max(fnames, key=lambda f: len(files.get(f, '')))
                dupes_in.add(largest)
        # Remove monolithic files that are fully duplicated
        for fname in dupes_in:
            if all(
                any(f2 != fname for f2 in resource_locations.get(key, []))
                for key, flist in resource_locations.items()
                if fname in flist
            ) and len(files) - 1 >= 2:
                log.info(f"Removing duplicate monolithic file: {fname}")
                del files[fname]

    # Fix single-line blocks in all files
    for fname in files:
        files[fname] = _fix_single_line_blocks(files[fname])

    # Write files to disk
    for fname, content in files.items():
        (wdir / fname).write_text(content)


async def _terraform_exec(wid: str, action: str, user: dict):
    """Background: run terraform init + plan/apply/destroy in workspace dir."""
    log.info(f"Terraform {action} started: wid={wid}")
    status_col = f"{action}_output"
    final_ok = {"plan": "planned", "apply": "applied", "destroy": "destroyed"}[action]

    try:
        with db() as c:
            ws = c.execute("SELECT * FROM terraform_workspaces WHERE id=?", (wid,)).fetchone()
        if not ws:
            return

        wdir = TERRAFORM_DIR / wid
        wdir.mkdir(parents=True, exist_ok=True)

        # Clean old .tf files (keep .terraform/, state, lock)
        for old_tf in wdir.glob("*.tf"):
            old_tf.unlink()

        # Write .tf files — parse // filename: comments to split into separate files
        _write_tf_files(wdir, ws["tf_code"] or "")

        # Auto-generate provider.tf from OCI config
        # Detect provider aliases declared by the model in generated files
        import re as _re2
        oci_cfg = _get_oci_config(ws["oci_config_id"])
        alias_blocks = []  # list of (alias_name, region_ref)

        # Scan all .tf files for provider "oci" { alias = "..." ... region = ... }
        provider_block_re = _re2.compile(r'provider\s+"oci"\s*\{', _re2.MULTILINE)
        for tf_file in sorted(wdir.glob("*.tf")):
            if tf_file.name == "provider.tf":
                continue
            content = tf_file.read_text()
            # Find each provider "oci" block and extract alias + region
            blocks_to_remove = []
            for m in provider_block_re.finditer(content):
                start = m.start()
                # Find matching closing brace
                depth = 0
                end = start
                for ci in range(m.end() - 1, len(content)):
                    if content[ci] == '{':
                        depth += 1
                    elif content[ci] == '}':
                        depth -= 1
                        if depth == 0:
                            end = ci + 1
                            break
                block = content[start:end]
                alias_m = _re2.search(r'alias\s*=\s*"([^"]+)"', block)
                region_m = _re2.search(r'region\s*=\s*(.+)', block)
                if alias_m:
                    alias_name = alias_m.group(1)
                    region_ref = region_m.group(1).strip().rstrip("}").strip() if region_m else '"unknown"'
                    alias_blocks.append((alias_name, region_ref))
                    blocks_to_remove.append((start, end))
            # Remove model-generated provider blocks (we centralize in provider.tf)
            if blocks_to_remove:
                new_content = content
                for s, e in reversed(blocks_to_remove):
                    new_content = new_content[:s] + new_content[e:]
                # Also remove leading comments right before removed blocks
                new_content = _re2.sub(r'\n(//[^\n]*\n){1,5}\s*\n', '\n\n', new_content)
                new_content = new_content.strip()
                if new_content:
                    tf_file.write_text(new_content + "\n")
                else:
                    tf_file.unlink()  # Remove empty file

        # Scan all .tf files for variable declarations with region-like defaults
        # so we can map alias providers to the correct variable reference
        var_region_map = {}  # variable_name -> default_value
        var_re = _re2.compile(r'variable\s+"([^"]*region[^"]*)"\s*\{', _re2.IGNORECASE)
        for tf_file in sorted(wdir.glob("*.tf")):
            if tf_file.name in ("provider.tf", "terraform.tfvars"):
                continue
            content = tf_file.read_text()
            for vm in var_re.finditer(content):
                var_region_map[vm.group(1)] = f'var.{vm.group(1)}'

        # Check if variable "region" is declared — use it for primary provider
        has_region_var = "region" in var_region_map

        # Also scan for provider refs in resource blocks (provider = oci.xxx)
        for tf_file in sorted(wdir.glob("*.tf")):
            if tf_file.name == "provider.tf":
                continue
            content = tf_file.read_text()
            for ref_m in _re2.finditer(r'provider\s*=\s*oci\.(\w+)', content):
                ref_alias = ref_m.group(1)
                if ref_alias not in [a[0] for a in alias_blocks]:
                    # Try to find a matching region variable for this alias
                    # e.g. alias "mad_3" might match var.region_secondary
                    region_ref = 'var.region'  # fallback to primary region var
                    for vname, vref in var_region_map.items():
                        if vname != "region":  # prefer non-primary region vars for aliases
                            region_ref = vref
                            break
                    alias_blocks.append((ref_alias, region_ref))

        passphrase = oci_cfg.get('pass_phrase', '')
        cred_block = f'''  tenancy_ocid     = "{oci_cfg.get('tenancy', '')}"
  user_ocid        = "{oci_cfg.get('user', '')}"
  fingerprint      = "{oci_cfg.get('fingerprint', '')}"
  private_key_path = "{oci_cfg.get('key_file', '')}"'''
        if passphrase:
            cred_block += f'\n  private_key_password = "{passphrase}"'

        # Primary region: MUST use var.region — model is required to declare it
        with db() as c:
            oci_row = c.execute("SELECT region FROM oci_configs WHERE id=?", (ws["oci_config_id"],)).fetchone()
        primary_region = oci_row["region"] if oci_row else oci_cfg.get("region", "")
        if not has_region_var:
            error_msg = (
                f'ERRO: O código Terraform não declarou variable "region". '
                f'Isso é obrigatório para garantir que os recursos sejam provisionados na região correta. '
                f'Adicione no variables.tf: variable "region" {{ type = string; default = "{primary_region}" }}'
            )
            log.warning(f"Workspace {wid}: missing variable 'region' — blocking plan")
            with db() as c:
                c.execute("UPDATE terraform_workspaces SET status='failed', plan_output=?, error=?, updated_at=datetime('now') WHERE id=?",
                          (error_msg, error_msg, wid))
            return
        region_value = 'var.region'

        provider_tf = f'''terraform {{
  required_providers {{
    oci = {{
      source = "oracle/oci"
    }}
  }}
}}

provider "oci" {{
{cred_block}
  region           = {region_value}
}}
'''
        # Add alias providers with same credentials
        seen_aliases = set()
        for alias_name, region_ref in alias_blocks:
            if alias_name in seen_aliases:
                continue
            seen_aliases.add(alias_name)
            provider_tf += f'''
provider "oci" {{
  alias            = "{alias_name}"
{cred_block}
  region           = {region_ref}
}}
'''
        (wdir / "provider.tf").write_text(provider_tf)

        # Auto-generate terraform.tfvars — scan declared variables and provide values from OCI config
        with db() as c:
            oci_row = c.execute("SELECT compartment_id, region, ssh_public_key FROM oci_configs WHERE id=?", (ws["oci_config_id"],)).fetchone()
        comp_id = ws["compartment_id"] if ws["compartment_id"] else (_safe_dec(oci_row["compartment_id"]) if oci_row and oci_row["compartment_id"] else "")
        try:
            ssh_pub_key = oci_row["ssh_public_key"] if oci_row else ""
        except (IndexError, KeyError):
            ssh_pub_key = ""
        ssh_pub_key = ssh_pub_key or ""

        # Scan all declared variables in .tf files
        declared_vars = set()
        for tf_file in sorted(wdir.glob("*.tf")):
            if tf_file.name in ("provider.tf", "terraform.tfvars"):
                continue
            content = tf_file.read_text()
            for vm in _re2.finditer(r'variable\s+"([^"]+)"', content):
                declared_vars.add(vm.group(1))

        # Map known variable names to OCI config values
        var_values = {"compartment_id": comp_id}
        oci_var_map = {
            "tenancy_ocid": oci_cfg.get("tenancy", ""),
            "tenancy_id": oci_cfg.get("tenancy", ""),
            "user_ocid": oci_cfg.get("user", ""),
            "fingerprint": oci_cfg.get("fingerprint", ""),
            "private_key_path": oci_cfg.get("key_file", ""),
            "ssh_public_key": ssh_pub_key,
            "ssh_authorized_keys": ssh_pub_key,
        }
        # NOTE: "region" is intentionally NOT included — Terraform uses the default from variable declarations
        for vname, vval in oci_var_map.items():
            if vname in declared_vars and vval:
                var_values[vname] = vval

        tfvars_lines = [f'{k} = "{v}"' for k, v in var_values.items()]
        (wdir / "terraform.tfvars").write_text("\n".join(tfvars_lines) + "\n")

        output_lines = []

        def _update_output(text):
            output_lines.append(text)
            with db() as c:
                c.execute(f"UPDATE terraform_workspaces SET {status_col}=?, updated_at=datetime('now') WHERE id=?",
                          ("\n".join(output_lines[-200:]), wid))

        # terraform init
        _update_output("$ terraform init ...")
        proc_init = await asyncio.create_subprocess_exec(
            "terraform", f"-chdir={wdir}", "init", "-no-color", "-input=false",
            stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.STDOUT)
        while True:
            line = await proc_init.stdout.readline()
            if not line:
                break
            _update_output(line.decode(errors="replace").rstrip())
        await proc_init.wait()
        if proc_init.returncode != 0:
            _update_output(f"\n❌ terraform init failed (exit {proc_init.returncode})")
            with db() as c:
                c.execute("UPDATE terraform_workspaces SET status='failed', error=?, updated_at=datetime('now') WHERE id=?",
                          ("terraform init failed", wid))
            return

        # terraform action
        _update_output(f"\n$ terraform {action} ...")
        cmd = ["terraform", f"-chdir={wdir}", action, "-no-color", "-input=false"]
        if action in ("apply", "destroy"):
            cmd.append("-auto-approve")

        proc = await asyncio.create_subprocess_exec(
            *cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.STDOUT)
        _running_terraform[wid] = proc

        while True:
            line = await proc.stdout.readline()
            if not line:
                break
            _update_output(line.decode(errors="replace").rstrip())
        await proc.wait()
        _running_terraform.pop(wid, None)

        if proc.returncode == 0:
            output_lines.append(f"\n✅ terraform {action} completed successfully")
            full_output = "\n".join(output_lines)
            with db() as c:
                c.execute(f"UPDATE terraform_workspaces SET {status_col}=?, status=?, updated_at=datetime('now') WHERE id=?",
                          (full_output, final_ok, wid))
            _audit(user["id"], user["username"], f"terraform_{action}", wid, f"status={final_ok}")
        else:
            output_lines.append(f"\n❌ terraform {action} failed (exit {proc.returncode})")
            full_output = "\n".join(output_lines)
            with db() as c:
                c.execute(f"UPDATE terraform_workspaces SET {status_col}=?, status='failed', error=?, updated_at=datetime('now') WHERE id=?",
                          (full_output, f"terraform {action} failed (exit {proc.returncode})", wid))

    except Exception as e:
        log.error(f"Terraform exec error: {e}")
        with db() as c:
            c.execute("UPDATE terraform_workspaces SET status='failed', error=?, updated_at=datetime('now') WHERE id=?",
                      (str(e)[:500], wid))


# ── Audit ─────────────────────────────────────────────────────────────────────
@app.get("/api/audit-log")
async def audit_log(skip: int = Query(0, ge=0), limit: int = Query(100, ge=1, le=500), u=Depends(require("admin"))):
    with db() as c: rows=c.execute("SELECT * FROM audit_log ORDER BY created_at DESC LIMIT ? OFFSET ?",(limit, skip)).fetchall()
    return [dict(r) for r in rows]

# ── Config Logs ───────────────────────────────────────────────────────────────
@app.get("/api/config-logs")
async def get_config_logs(
    config_type: str = Query(None), config_id: str = Query(None),
    severity: str = Query(None), limit: int = Query(50, le=200),
    u=Depends(current_user)
):
    query = "SELECT * FROM config_logs WHERE 1=1"
    params = []
    if config_type: query += " AND config_type=?"; params.append(config_type)
    if config_id: query += " AND config_id=?"; params.append(config_id)
    if severity: query += " AND severity=?"; params.append(severity)
    if u["role"] != "admin": query += " AND user_id=?"; params.append(u["id"])
    query += " ORDER BY created_at DESC LIMIT ?"
    params.append(limit)
    with db() as c: rows = c.execute(query, params).fetchall()
    return [dict(r) for r in rows]

# ── Chat Logs ─────────────────────────────────────────────────────────────────
@app.get("/api/chat-logs")
async def get_chat_logs(
    severity: str = Query(None), session_id: str = Query(None),
    limit: int = Query(50, le=200), u=Depends(current_user)
):
    query = "SELECT * FROM chat_logs WHERE 1=1"
    params = []
    if severity: query += " AND severity=?"; params.append(severity)
    if session_id: query += " AND session_id=?"; params.append(session_id)
    if u["role"] != "admin": query += " AND user_id=?"; params.append(u["id"])
    query += " ORDER BY created_at DESC LIMIT ?"
    params.append(limit)
    with db() as c: rows = c.execute(query, params).fetchall()
    return [dict(r) for r in rows]

# ── App Settings ──────────────────────────────────────────────────────────────
@app.get("/api/settings/{key}")
async def get_setting(key: str, u=Depends(current_user)):
    with db() as c:
        row = c.execute("SELECT value FROM app_settings WHERE key=?", (key,)).fetchone()
    return {"key": key, "value": row["value"] if row else ""}

@app.put("/api/settings/{key}")
async def put_setting(key: str, body: dict, u=Depends(require("admin"))):
    value = body.get("value", "")
    with db() as c:
        c.execute("INSERT INTO app_settings (key,value,updated_at) VALUES (?,?,datetime('now')) ON CONFLICT(key) DO UPDATE SET value=excluded.value, updated_at=excluded.updated_at", (key, value))
    return {"key": key, "value": value}

# ── System Prompts ────────────────────────────────────────────────────────────
@app.get("/api/prompts/{agent}")
async def list_prompts(agent: str, u=Depends(current_user)):
    with db() as c:
        rows = c.execute("SELECT * FROM system_prompts WHERE agent=? ORDER BY is_active DESC, created_at DESC", (agent,)).fetchall()
    return [dict(r) for r in rows]

@app.post("/api/prompts")
async def save_prompt(body: dict, u=Depends(require("admin"))):
    agent = body.get("agent", "chat")
    with db() as c:
        count = c.execute("SELECT COUNT(*) FROM system_prompts WHERE agent=?", (agent,)).fetchone()[0]
    if count >= 10:
        raise HTTPException(400, "Limite de 10 prompts atingido. Exclua um antes de criar outro.")
    pid = str(uuid.uuid4())
    name = body.get("name", "Sem nome")
    content = body.get("content", "")
    is_active = body.get("is_active", False)
    with db() as c:
        if is_active:
            c.execute("UPDATE system_prompts SET is_active=0 WHERE agent=?", (agent,))
        c.execute("INSERT INTO system_prompts (id,name,agent,content,is_active) VALUES (?,?,?,?,?)",
                  (pid, name, agent, content, int(is_active)))
    return {"id": pid}

@app.put("/api/prompts/{pid}")
async def update_prompt(pid: str, body: dict, u=Depends(require("admin"))):
    with db() as c:
        existing = c.execute("SELECT * FROM system_prompts WHERE id=?", (pid,)).fetchone()
    if not existing:
        raise HTTPException(404)
    name = body.get("name", existing["name"])
    content = body.get("content", existing["content"])
    is_active = body.get("is_active", existing["is_active"])
    with db() as c:
        if is_active:
            c.execute("UPDATE system_prompts SET is_active=0 WHERE agent=?", (existing["agent"],))
        c.execute("UPDATE system_prompts SET name=?,content=?,is_active=? WHERE id=?",
                  (name, content, int(is_active), pid))
    return {"id": pid}

@app.delete("/api/prompts/{pid}")
async def delete_prompt(pid: str, u=Depends(require("admin"))):
    with db() as c:
        c.execute("DELETE FROM system_prompts WHERE id=?", (pid,))
    return {"ok": True}

# ── Export / Import Configuration ─────────────────────────────────────────────
@app.get("/api/config/export")
async def export_config(u=Depends(require("admin"))):
    """Export all configurations as JSON (OCI configs with keys, GenAI, MCP, prompts, settings)."""
    data = {"version": VERSION, "exported_at": datetime.now().isoformat()}
    with db() as c:
        # OCI configs
        oci_rows = c.execute("SELECT * FROM oci_configs").fetchall()
        oci_cfgs = []
        for r in oci_rows:
            cfg = dict(r)
            # Include private key content (base64)
            kp = Path(cfg.get("key_file_path", ""))
            if kp.exists():
                cfg["_private_key_b64"] = base64.b64encode(kp.read_bytes()).decode()
            # Include passphrase from config file if exists
            cfg_file = kp.parent / "config" if kp.parent.exists() else None
            if cfg_file and cfg_file.exists():
                for line in cfg_file.read_text().splitlines():
                    if line.startswith("pass_phrase="):
                        cfg["_key_passphrase"] = line.split("=", 1)[1]
            oci_cfgs.append(cfg)
        data["oci_configs"] = oci_cfgs
        # GenAI configs
        data["genai_configs"] = [dict(r) for r in c.execute("SELECT * FROM genai_configs").fetchall()]
        # MCP servers (exclude system-auto-registered if tools are empty)
        data["mcp_servers"] = [dict(r) for r in c.execute("SELECT * FROM mcp_servers").fetchall()]
        # System prompts
        data["system_prompts"] = [dict(r) for r in c.execute("SELECT * FROM system_prompts").fetchall()]
        # App settings
        data["app_settings"] = [dict(r) for r in c.execute("SELECT * FROM app_settings").fetchall()]
        # ADB vector configs
        adb_rows = c.execute("SELECT * FROM adb_vector_configs").fetchall()
        data["adb_vector_configs"] = [dict(r) for r in adb_rows]
        # ADB vector tables
        data["adb_vector_tables"] = [dict(r) for r in c.execute("SELECT * FROM adb_vector_tables").fetchall()]
    return StreamingResponse(
        iter([json.dumps(data, indent=2, ensure_ascii=False)]),
        media_type="application/json",
        headers={"Content-Disposition": f'attachment; filename="oci-cis-agent-config-{datetime.now().strftime("%Y%m%d-%H%M%S")}.json"'}
    )


@app.post("/api/config/import")
async def import_config(file: UploadFile = File(...), u=Depends(require("admin"))):
    """Import configurations from exported JSON. Merges by ID (skip existing)."""
    await _validate_upload(file, {".json"})
    file.file.seek(0)
    content = await file.read()
    try:
        data = json.loads(content)
    except json.JSONDecodeError:
        raise HTTPException(400, "Arquivo JSON inválido")
    counts = {"oci_configs": 0, "genai_configs": 0, "mcp_servers": 0, "system_prompts": 0, "app_settings": 0, "adb_vector_configs": 0, "adb_vector_tables": 0, "skipped": 0}
    with db() as c:
        # OCI configs
        for cfg in data.get("oci_configs", []):
            if c.execute("SELECT 1 FROM oci_configs WHERE id=?", (cfg["id"],)).fetchone():
                counts["skipped"] += 1; continue
            # Restore private key file
            cdir = OCI_DIR / cfg["id"]; cdir.mkdir(parents=True, exist_ok=True)
            kp = cdir / "oci_api_key.pem"
            if cfg.get("_private_key_b64"):
                kp.write_bytes(base64.b64decode(cfg["_private_key_b64"])); kp.chmod(0o600)
            # Write config file
            cfg_file = cdir / "config"
            cfg_content = (f"[DEFAULT]\nuser={_dec(cfg['user_ocid']) if cfg.get('user_ocid') else ''}\n"
                          f"fingerprint={_dec(cfg['fingerprint']) if cfg.get('fingerprint') else ''}\n"
                          f"tenancy={_dec(cfg['tenancy_ocid']) if cfg.get('tenancy_ocid') else ''}\n"
                          f"region={cfg.get('region','')}\nkey_file={kp}\n")
            if cfg.get("_key_passphrase"):
                cfg_content += f"pass_phrase={cfg['_key_passphrase']}\n"
            cfg_file.write_text(cfg_content); cfg_file.chmod(0o600)
            c.execute("INSERT INTO oci_configs (id,user_id,tenancy_name,tenancy_ocid,user_ocid,fingerprint,region,key_file_path,compartment_id,created_at) VALUES (?,?,?,?,?,?,?,?,?,?)",
                      (cfg["id"], cfg.get("user_id", u["id"]), cfg.get("tenancy_name",""), cfg.get("tenancy_ocid",""), cfg.get("user_ocid",""),
                       cfg.get("fingerprint",""), cfg.get("region",""), str(kp), cfg.get("compartment_id"), cfg.get("created_at")))
            counts["oci_configs"] += 1
        # GenAI configs
        for cfg in data.get("genai_configs", []):
            if c.execute("SELECT 1 FROM genai_configs WHERE id=?", (cfg["id"],)).fetchone():
                counts["skipped"] += 1; continue
            c.execute("INSERT INTO genai_configs (id,user_id,name,oci_config_id,model_id,model_ocid,compartment_id,genai_region,endpoint,serving_type,dedicated_endpoint_id,temperature,max_tokens,top_p,top_k,frequency_penalty,presence_penalty,reasoning_effort,is_default,system_prompt,created_at) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)",
                      (cfg["id"], cfg.get("user_id", u["id"]), cfg.get("name",""), cfg.get("oci_config_id",""), cfg.get("model_id",""),
                       cfg.get("model_ocid"), cfg.get("compartment_id",""), cfg.get("genai_region",""), cfg.get("endpoint",""),
                       cfg.get("serving_type","ON_DEMAND"), cfg.get("dedicated_endpoint_id"), cfg.get("temperature",1),
                       cfg.get("max_tokens",6000), cfg.get("top_p",0.95), cfg.get("top_k",1), cfg.get("frequency_penalty",0),
                       cfg.get("presence_penalty",0), cfg.get("reasoning_effort"), cfg.get("is_default",0), cfg.get("system_prompt",""), cfg.get("created_at")))
            counts["genai_configs"] += 1
        # MCP servers
        for srv in data.get("mcp_servers", []):
            if c.execute("SELECT 1 FROM mcp_servers WHERE id=?", (srv["id"],)).fetchone():
                counts["skipped"] += 1; continue
            c.execute("INSERT INTO mcp_servers (id,user_id,name,description,server_type,command,args,env_vars,url,module_path,tools,linked_adb_id,is_active,created_at) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?)",
                      (srv["id"], srv.get("user_id", u["id"]), srv.get("name",""), srv.get("description"), srv.get("server_type","stdio"),
                       srv.get("command"), srv.get("args"), srv.get("env_vars"), srv.get("url"), srv.get("module_path"),
                       srv.get("tools"), srv.get("linked_adb_id"), srv.get("is_active",1), srv.get("created_at")))
            counts["mcp_servers"] += 1
        # System prompts
        for p in data.get("system_prompts", []):
            if c.execute("SELECT 1 FROM system_prompts WHERE id=?", (p["id"],)).fetchone():
                counts["skipped"] += 1; continue
            c.execute("INSERT INTO system_prompts (id,name,agent,content,is_active,created_at) VALUES (?,?,?,?,?,?)",
                      (p["id"], p.get("name",""), p.get("agent","chat"), p.get("content",""), p.get("is_active",0), p.get("created_at")))
            counts["system_prompts"] += 1
        # App settings
        for s in data.get("app_settings", []):
            c.execute("INSERT INTO app_settings (key,value,updated_at) VALUES (?,?,?) ON CONFLICT(key) DO UPDATE SET value=excluded.value, updated_at=excluded.updated_at",
                      (s["key"], s.get("value",""), s.get("updated_at")))
            counts["app_settings"] += 1
        # ADB vector configs
        for cfg in data.get("adb_vector_configs", []):
            if c.execute("SELECT 1 FROM adb_vector_configs WHERE id=?", (cfg["id"],)).fetchone():
                counts["skipped"] += 1; continue
            c.execute("INSERT INTO adb_vector_configs (id,user_id,config_name,dsn,username,password_enc,wallet_dir,wallet_password_enc,table_name,use_mtls,is_active,created_at) VALUES (?,?,?,?,?,?,?,?,?,?,?,?)",
                      (cfg["id"], cfg.get("user_id", u["id"]), cfg.get("config_name",""), cfg.get("dsn",""), cfg.get("username",""),
                       cfg.get("password_enc",""), cfg.get("wallet_dir"), cfg.get("wallet_password_enc"), cfg.get("table_name","CIS_EMBEDDINGS"),
                       cfg.get("use_mtls",1), cfg.get("is_active",1), cfg.get("created_at")))
            counts["adb_vector_configs"] += 1
        # ADB vector tables
        for t in data.get("adb_vector_tables", []):
            if c.execute("SELECT 1 FROM adb_vector_tables WHERE id=?", (t["id"],)).fetchone():
                counts["skipped"] += 1; continue
            c.execute("INSERT INTO adb_vector_tables (id,adb_config_id,table_name,description,is_active,created_at) VALUES (?,?,?,?,?,?)",
                      (t["id"], t.get("adb_config_id",""), t.get("table_name",""), t.get("description",""), t.get("is_active",1), t.get("created_at")))
            counts["adb_vector_tables"] += 1
    _audit(u["id"], u["username"], "import_config", "bulk", json.dumps(counts))
    return counts


# ── CIS Engine Version Management ─────────────────────────────────────────────
CIS_REPORTS_PATH = Path("/app/cis_reports.py")
CIS_GITHUB_RAW = "https://raw.githubusercontent.com/oci-landing-zones/oci-cis-landingzone-quickstart/main/scripts/cis_reports.py"
CIS_PATCHES = [
    {"name": "region_none_check_1",
     "original": "elif region.region_name in self.__regions_to_run_in or self.__run_in_all_regions:",
     "patched":  "elif self.__run_in_all_regions or (self.__regions_to_run_in and region.region_name in self.__regions_to_run_in):"},
    {"name": "region_none_check_2",
     "original": "if self.__home_region not in self.__regions_to_run_in:",
     "patched":  "if not self.__run_in_all_regions and self.__regions_to_run_in and self.__home_region not in self.__regions_to_run_in:"},
]

def _read_cis_version(content: str = None) -> dict:
    if content is None:
        if not CIS_REPORTS_PATH.exists(): return {"version": "unknown", "date": "unknown"}
        content = CIS_REPORTS_PATH.read_text(encoding="utf-8", errors="replace")
    ver = re.search(r'RELEASE_VERSION\s*=\s*["\']([^"\']+)["\']', content)
    dt = re.search(r'UPDATED_DATE\s*=\s*["\']([^"\']+)["\']', content)
    return {"version": ver.group(1) if ver else "unknown", "date": dt.group(1) if dt else "unknown"}

@app.get("/api/cis-engine/version")
async def cis_engine_version(u=Depends(current_user)):
    info = _read_cis_version()
    return {"version": info["version"], "updated_date": info["date"], "file_path": str(CIS_REPORTS_PATH)}

@app.get("/api/cis-engine/check-update")
async def cis_engine_check_update(u=Depends(require("admin"))):
    import requests as req
    local = _read_cis_version()
    try:
        resp = req.get(CIS_GITHUB_RAW, timeout=30)
        resp.raise_for_status()
        remote = _read_cis_version(resp.text)
    except Exception as e:
        raise HTTPException(502, f"Failed to check GitHub: {str(e)[:300]}")
    return {
        "local_version": local["version"], "local_date": local["date"],
        "remote_version": remote["version"], "remote_date": remote["date"],
        "update_available": remote["version"] != local["version"]
    }

@app.post("/api/cis-engine/update")
async def cis_engine_update(u=Depends(require("admin"))):
    import requests as req
    old = _read_cis_version()
    try:
        resp = req.get(CIS_GITHUB_RAW, timeout=60)
        resp.raise_for_status()
        content = resp.text
    except Exception as e:
        raise HTTPException(502, f"Failed to download from GitHub: {str(e)[:300]}")
    new = _read_cis_version(content)
    # Apply patches
    patches_applied = []
    for p in CIS_PATCHES:
        if p["original"] in content:
            content = content.replace(p["original"], p["patched"])
            patches_applied.append(p["name"])
    CIS_REPORTS_PATH.write_text(content, encoding="utf-8")
    # Save version info
    with db() as c:
        c.execute("INSERT INTO app_settings (key,value,updated_at) VALUES ('cis_engine_version',?,datetime('now')) ON CONFLICT(key) DO UPDATE SET value=excluded.value, updated_at=excluded.updated_at",
                  (new["version"],))
    log.info(f"CIS engine updated: {old['version']} → {new['version']}, patches: {patches_applied}")
    _audit(u["id"], u["username"], "cis_engine_update", None, f"{old['version']} → {new['version']}")
    return {"ok": True, "old_version": old["version"], "new_version": new["version"], "patches_applied": patches_applied}

@app.get("/api/health")
async def health():
    db_ok = False
    try:
        with db() as c:
            c.execute("SELECT 1")
            db_ok = True
    except Exception:
        pass
    return {
        "status": "ok",
        "version": VERSION,
        "uptime_seconds": int(time.time() - _START_TIME),
        "db_ok": db_ok,
        "ts": datetime.utcnow().isoformat(),
    }

@app.on_event("shutdown")
async def shutdown():
    """Graceful shutdown: terminate running subprocesses and thread pool."""
    for rid, proc in list(_running_reports.items()):
        try:
            proc.terminate()
            log.info(f"Terminated report process {rid}")
        except Exception as e:
            log.warning(f"Failed to terminate report process {rid}: {e}")
    _running_reports.clear()
    for wid, proc in list(_running_terraform.items()):
        try:
            proc.terminate()
            log.info(f"Terminated terraform process {wid}")
        except Exception as e:
            log.warning(f"Failed to terminate terraform process {wid}: {e}")
    _running_terraform.clear()
    _chat_executor.shutdown(wait=False)
    log.info("Graceful shutdown completed")

@app.on_event("startup")
async def startup():
    init_db()
    # Mark orphaned "running" reports as failed (e.g. after container restart)
    with db() as c:
        orphaned = c.execute("UPDATE reports SET status='failed', error_msg='Interrompido: container reiniciado' WHERE status='running'").rowcount
    if orphaned:
        log.warning(f"Marked {orphaned} orphaned running report(s) as failed")
    # Clean up orphaned .compliance_generating markers (left after container restart)
    for marker in REPORTS.glob("*/.compliance_generating"):
        marker.unlink(missing_ok=True)
        log.info(f"Cleaned orphaned compliance marker: {marker.parent.name}")
    # Auto-register CIS Compliance Scanner MCP server if not present (deduplicate on startup)
    with db() as c:
        dupes = c.execute("SELECT id FROM mcp_servers WHERE name='CIS Compliance Scanner' ORDER BY created_at ASC").fetchall()
        if len(dupes) > 1:
            keep = dupes[0]["id"]
            for d in dupes[1:]:
                c.execute("DELETE FROM mcp_servers WHERE id=?", (d["id"],))
            log.info(f"Removed {len(dupes)-1} duplicate CIS Compliance Scanner entries, kept {keep}")
        if not dupes:
            mid = str(uuid.uuid4())
            c.execute(
                "INSERT INTO mcp_servers (id, user_id, name, description, server_type, command, args) VALUES (?,?,?,?,?,?,?)",
                (mid, "system", "CIS Compliance Scanner",
                 "OCI CIS Foundations Benchmark 3.0 - 48 CIS checks + 11 OBP checks via MCP",
                 "stdio", "python3", json.dumps(["/app/mcp_cis_server.py"]))
            )
            log.info(f"Auto-registered CIS Compliance Scanner MCP server (id={mid})")

    # Save CIS engine version to app_settings
    try:
        vi = _read_cis_version()
        with db() as c:
            c.execute("INSERT INTO app_settings (key,value,updated_at) VALUES ('cis_engine_version',?,datetime('now')) ON CONFLICT(key) DO UPDATE SET value=excluded.value, updated_at=excluded.updated_at",
                      (vi["version"],))
        log.info(f"CIS engine version: {vi['version']} ({vi['date']})")
    except Exception as e:
        log.warning(f"Could not read CIS engine version: {e}")

    # Generate TF resource reference if not present (volume mount may hide build-time file)
    ref_path = Path(_TF_RESOURCE_REF_PATH)
    if not ref_path.exists():
        try:
            loop = asyncio.get_event_loop()
            result = await loop.run_in_executor(None, partial(
                subprocess.run, ["python", "/app/gen_tf_reference.py"], capture_output=True, text=True, timeout=300))
            if result.returncode == 0 and ref_path.exists():
                log.info(f"Generated TF resource reference at startup: {ref_path.stat().st_size} bytes")
            else:
                log.warning(f"TF reference generation failed at startup: {result.stderr[:200] if result.stderr else 'unknown'}")
        except Exception as e:
            log.warning(f"Could not generate TF reference at startup: {e}")
    # Populate tf_valid_types table from reference file
    if ref_path.exists():
        try:
            count = _populate_tf_valid_types()
            if count:
                log.info(f"TF valid types DB populated: {count} entries")
        except Exception as e:
            log.warning(f"Could not populate tf_valid_types: {e}")

    log.info(f"AI Agent v{VERSION} API started")

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)