Update app.py with session control

add session control - reuse agent sessions within 2h slide window
This commit is contained in:
Marcos Lohmann
2025-08-01 08:10:56 -03:00
committed by GitHub
parent d8829c0153
commit 31eb09ffb4

View File

@@ -1,17 +1,22 @@
from flask import Flask, request, json, jsonify
from flask import Flask, request, jsonify, abort
import oci
import requests
import os
from datetime import datetime, timedelta
app = Flask(__name__)
# Função para carregar configurações do arquivo
# --------------------------
# Configuração
# --------------------------
def load_config(config_file="/home/app/credentials.conf"):
config = {}
try:
with open(config_file, 'r') as f:
for line in f:
line = line.strip()
if line and not line.startswith('#'): # Ignora linhas vazias e comentários
if line and not line.startswith('#'):
key, value = line.split('=', 1)
config[key.strip()] = value.strip()
return config
@@ -20,13 +25,9 @@ def load_config(config_file="/home/app/credentials.conf"):
except Exception as e:
raise Exception(f"Erro ao carregar configuração: {str(e)}")
# Carrega configuração do arquivo
config = load_config()
# Modo de teste (define se deve usar credenciais reais ou simuladas)
TEST_MODE = config.get("test_mode", "false").lower() == "true"
# Cria o signer do OCI (apenas se não estiver em modo de teste)
signer = None
if not TEST_MODE:
try:
@@ -43,33 +44,85 @@ if not TEST_MODE:
print("Executando em modo de teste...")
TEST_MODE = True
# Funções de interação com o agente (adaptadas do agent_proxy.py)
def new_session_agent(region, agent_endpoint_id):
if TEST_MODE:
# Retorna uma resposta simulada em modo de teste
return {"id": f"test_session_{agent_endpoint_id[:8]}"}
# --------------------------
# Session Store
# --------------------------
SESSION_STORE = {}
SESSION_TTL = timedelta(hours=2)
def session_controller(region, agent_endpoint_id, channel, cuid):
"""
Controla sessões com o agente, reaproveitando se estiver dentro do TTL (2h).
A cada interação, a sessão é renovada (sliding TTL).
"""
session_key = f"{channel}:{cuid}"
now = datetime.utcnow()
existing = SESSION_STORE.get(session_key)
if existing:
last_used = existing["lastUsedAt"]
if now - last_used < SESSION_TTL:
existing["lastUsedAt"] = now
return {
"id": existing["sessionId"],
"sessionKey": session_key,
"reused": True
}
# Sessão expirada ou inexistente → cria nova
if TEST_MODE:
new_session_id = f"test_session_{agent_endpoint_id[:8]}_{int(now.timestamp())}"
SESSION_STORE[session_key] = {
"sessionId": new_session_id,
"createdAt": now,
"lastUsedAt": now,
"sessionKey": session_key
}
return {
"id": new_session_id,
"sessionKey": session_key,
"reused": False
}
try:
session = requests.Session()
session.auth = signer
url = (
f"https://agent-runtime.generativeai.{region}.oci.oraclecloud.com/20240531/agentEndpoints/{agent_endpoint_id}/sessions"
f"https://agent-runtime.generativeai.{region}.oci.oraclecloud.com/20240531/"
f"agentEndpoints/{agent_endpoint_id}/sessions"
)
payload = {
"description": "",
"displayName": "",
"idleTimeoutInSeconds": "1200"
"description": f"Session for {session_key}",
"displayName": session_key,
"idleTimeoutInSeconds": str(int(SESSION_TTL.total_seconds()))
}
resp = session.post(url, json=payload)
resp.raise_for_status() # Levanta um erro para status codes 4xx/5xx
return resp.json()
resp.raise_for_status()
data = resp.json()
SESSION_STORE[session_key] = {
"sessionId": data.get("id"),
"createdAt": now,
"lastUsedAt": now,
"sessionKey": session_key
}
data["sessionKey"] = session_key
data["reused"] = False
return data
except Exception as e:
return {"error": str(e), "sessionKey": session_key}
# --------------------------
# Funções de interação
# --------------------------
def ask_agent(region, agent_endpoint_id, session_id, user_message):
if TEST_MODE:
# Retorna uma resposta simulada em modo de teste
return {
"message": f"Resposta simulada para: {user_message}",
"sessionId": session_id,
"timestamp": "2024-01-01T00:00:00Z"
"timestamp": datetime.utcnow().isoformat() + "Z"
}
session = requests.Session()
@@ -82,7 +135,7 @@ def ask_agent(region, agent_endpoint_id, session_id, user_message):
"sessionId": session_id
}
response = session.post(chat_url, json=payload)
response.raise_for_status() # Levanta um erro para status codes 4xx/5xx
response.raise_for_status()
return response.json()
def call_inference_model(region, compartment_id, model_id, prompt):
@@ -92,7 +145,12 @@ def call_inference_model(region, compartment_id, model_id, prompt):
try:
endpoint = f"https://inference.generativeai.{region}.oci.oraclecloud.com"
generative_ai_inference_client = oci.generative_ai_inference.GenerativeAiInferenceClient(config=config, service_endpoint=endpoint, retry_strategy=oci.retry.NoneRetryStrategy(), timeout=(10,240))
generative_ai_inference_client = oci.generative_ai_inference.GenerativeAiInferenceClient(
config=config,
service_endpoint=endpoint,
retry_strategy=oci.retry.NoneRetryStrategy(),
timeout=(10, 240)
)
chat_detail = oci.generative_ai_inference.models.ChatDetails()
content = oci.generative_ai_inference.models.TextContent()
@@ -106,8 +164,6 @@ def call_inference_model(region, compartment_id, model_id, prompt):
chat_request.messages = [message]
chat_request.max_tokens = 50000
chat_request.temperature = 1
#chat_request.frequency_penalty = 0
#chat_request.presence_penalty = 0
chat_request.top_p = 1
chat_request.top_k = 0
@@ -121,77 +177,74 @@ def call_inference_model(region, compartment_id, model_id, prompt):
"text": chat_choices[0].message.content[0].text,
"finish_reason": chat_choices[0].finish_reason
}
print(chat_data)
return {"response": chat_data}
except Exception as e:
return {"error": str(e)}
# --------------------------
# Segurança
# --------------------------
def check_api_key():
expected_key = os.environ.get("API_KEY")
if not expected_key:
print("AVISO: API_KEY não configurada nas variáveis de ambiente.")
return # passa sem autenticar (útil em dev, pode remover se quiser obrigar)
return
provided_key = request.headers.get("X-API-Key")
if provided_key != expected_key:
abort(401, description="Chave de API inválida ou ausente.")
# Before all requests
@app.before_request
def before_all_requests():
check_api_key()
# Endpoint para teste
# --------------------------
# Endpoints
# --------------------------
@app.route("/", methods=["GET"])
def test():
return jsonify({"test": "ok"})
@app.route("/test/<myvar>/copy", methods=["GET"])
def var_copy(myvar):
try:
print(f"myvar={myvar}")
return jsonify({"myvar": myvar})
except requests.exceptions.RequestException as e:
print(str(e))
return jsonify({"error": str(e)}), 400
# Endpoint para criar nova sessão
@app.route("/genai-agent/<region>/<agent_endpoint_id>/new-session", methods=["GET"])
def new_session(region, agent_endpoint_id):
try:
response_data = new_session_agent(region, agent_endpoint_id)
return jsonify({"sessionId": response_data.get("id")})
except requests.exceptions.RequestException as e:
print(str(e))
return jsonify({"error": str(e)}), 400
@app.route("/genai-agent/<region>/<agent_endpoint_id>/session", methods=["POST"])
def manage_session(region, agent_endpoint_id):
"""
Reaproveita ou cria uma sessão nova com base em channel + cuid.
"""
data = request.get_json()
channel = data.get("channel")
cuid = data.get("cuid")
if not all([channel, cuid]):
return jsonify({"error": "Parâmetros 'channel' e 'cuid' são obrigatórios"}), 400
response_data = session_controller(region, agent_endpoint_id, channel, cuid)
return jsonify(response_data)
# Endpoint para chat com o agente
@app.route("/genai-agent/<region>/<agent_endpoint_id>/<session_id>/chat", methods=["POST"])
def agent_chat(region, agent_endpoint_id, session_id):
data = request.get_json()
user_message = data.get("userMessage")
if not all([user_message]):
print("missing userMessage")
if not user_message:
return jsonify({"error": "userMessage é obrigatório"}), 400
try:
response_data = ask_agent(region, agent_endpoint_id, session_id, user_message)
return jsonify({"agentResponse": response_data})
except requests.exceptions.RequestException as e:
print(str(e))
return jsonify({"error": str(e)}), 400
# Endpoint para inferencia direta com GenAI
@app.route("/genai/<region>/<compartment_id>/<model_id>/inference", methods=["POST"])
def inference(region, compartment_id, model_id):
data = request.get_json()
prompt = data.get("prompt")
if not prompt:
return jsonify({"error": "Campo 'prompt' é obrigatório."}), 400
try:
response_data = call_inference_model(region, compartment_id, model_id, prompt)
return jsonify(response_data)
except requests.exceptions.RequestException as e:
return jsonify({"error": str(e)}), 400
# --------------------------
# Main
# --------------------------
if __name__ == '__main__':
app.run(host='0.0.0.0', port=8000)