Files
agent_platform_oci/scripts/sync_pending_topics_to_tuning.py

248 lines
9.8 KiB
Python

"""Propaga o contrato nativo de pending_topics às cópias de Tuning-Performance."""
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
def replace_once(text: str, old: str, new: str, path: Path) -> str:
if old not in text:
raise RuntimeError(f"Marcador não encontrado em {path}: {old[:60]!r}")
return text.replace(old, new, 1)
def update_state(path: Path) -> None:
text = path.read_text(encoding="utf-8")
if " pending_topics: list[dict[str, Any]]" not in text:
text = replace_once(
text,
" supervisor_results: list[dict[str, Any]]\n",
" supervisor_results: list[dict[str, Any]]\n"
" pending_topics: list[dict[str, Any]]\n"
" handled_topics: list[dict[str, Any]]\n",
path,
)
if " rag_results: list[dict[str, Any]]" not in text:
text = replace_once(
text,
" mcp_results: list[dict[str, Any]]\n",
" mcp_results: list[dict[str, Any]]\n"
" rag_results: list[dict[str, Any]]\n",
path,
)
path.write_text(text, encoding="utf-8")
def update_graph(path: Path) -> None:
text = path.read_text(encoding="utf-8")
if "from agent_framework.routing.pending_topics import drain_pending_topics" in text:
return
text = replace_once(
text,
"from agent_framework.routing.enterprise_router import EnterpriseRouter\n",
"from agent_framework.routing.enterprise_router import EnterpriseRouter\n"
"from agent_framework.routing.pending_topics import drain_pending_topics\n",
path,
)
text = replace_once(
text,
" } if decision.method == \"continuity\" else {},\n }\n\n async def billing_agent",
" } if decision.method == \"continuity\" else {},\n"
" \"pending_topics\": (\n"
" (decision.metadata or {}).get(\"multi_intent_plan\", {}).get(\"operations\", [])[1:]\n"
" if (decision.metadata or {}).get(\"multi_intent_plan\") else []\n"
" ),\n"
" }\n\n async def billing_agent",
path,
)
marker = " async def output_supervisor(self, state):"
before, output = text.split(marker, 1)
old = """ if not bool(getattr(self.settings, \"ENABLE_OUTPUT_SUPERVISOR\", True)):
return {
\"output_guardrails_already_applied\": False,
\"supervisor_action\": \"disabled\",
\"supervisor_attempt\": int(state.get(\"supervisor_attempt\", 0)),
}
candidate = state.get(\"answer\") or \"\"
"""
new = """ drained = await drain_pending_topics(
state,
str(state.get(\"answer\") or \"\"),
{
\"billing_agent\": self.billing.run,
\"product_agent\": self.product.run,
\"orders_agent\": self.orders.run,
\"support_agent\": self.support.run,
},
)
candidate = drained.answer
if not bool(getattr(self.settings, \"ENABLE_OUTPUT_SUPERVISOR\", True)):
return {
\"answer\": candidate,
\"final_answer\": candidate,
\"pending_topics\": drained.pending_topics,
\"handled_topics\": drained.handled_topics,
\"output_guardrails_already_applied\": False,
\"supervisor_action\": \"disabled\",
\"supervisor_attempt\": int(state.get(\"supervisor_attempt\", 0)),
}
"""
output = replace_once(output, old, new, path)
output = replace_once(
output,
" \"output_guardrails_already_applied\": True,\n",
" \"output_guardrails_already_applied\": True,\n"
" \"pending_topics\": drained.pending_topics,\n"
" \"handled_topics\": drained.handled_topics,\n",
path,
)
path.write_text(before + marker + output, encoding="utf-8")
def update_evidence_propagation(path: Path) -> None:
text = path.read_text(encoding="utf-8")
marker = ' "handled_topics": drained.handled_topics,\n'
replacement = marker + ' "mcp_results": drained.mcp_results,\n'
if replacement in text:
return
if marker not in text:
raise RuntimeError(f"Marcador de evidências não encontrado em {path}")
path.write_text(text.replace(marker, replacement), encoding="utf-8")
def update_guardrail_evidence_context(path: Path) -> None:
text = path.read_text(encoding="utf-8")
marker = " context = {\n **(state.get(\"context\") or {}),\n"
addition = (
marker
+ ' "evidence": drained.mcp_results or (state.get("context") or {}).get("evidence"),\n'
+ ' "tool_result": drained.mcp_results or (state.get("context") or {}).get("tool_result"),\n'
+ ' "tool_executed": any(isinstance(item, dict) and item.get("ok") for item in drained.mcp_results),\n'
+ ' "mcp_results": drained.mcp_results,\n'
)
if addition in text:
return
text = replace_once(text, marker, addition, path)
path.write_text(text, encoding="utf-8")
def update_rag_propagation(path: Path) -> None:
text = path.read_text(encoding="utf-8")
mcp_line = ' "mcp_results": drained.mcp_results,\n'
rag_line = mcp_line + ' "rag_results": drained.rag_results,\n'
if rag_line not in text:
if mcp_line not in text:
raise RuntimeError(f"Marcador MCP não encontrado em {path}")
text = text.replace(mcp_line, rag_line)
text = text.replace(
' "evidence": drained.mcp_results or (state.get("context") or {}).get("evidence"),\n',
' "evidence": (list(drained.mcp_results) + list(drained.rag_results)) or (state.get("context") or {}).get("evidence"),\n',
)
marker = ' current_evidence = list(state.get("mcp_results", []) or [])\n'
addition = marker + ' current_evidence.extend(state.get("rag_results", []) or [])\n'
if marker in text and addition not in text:
text = text.replace(marker, addition, 1)
path.write_text(text, encoding="utf-8")
def update_rag_agents(path: Path) -> None:
text = path.read_text(encoding="utf-8")
marker = ' "rag": rag_metadata,\n'
if marker not in text or ' "rag_results": [{\n' in text:
return
addition = marker + (
' "rag_context": rag_context,\n'
' "rag_results": [{\n'
' "intent": state.get("intent"),\n'
' "agent": self.name,\n'
' "source_text": str(state.get("sanitized_input") or state.get("user_text") or ""),\n'
' "metadata": rag_metadata,\n'
' **({"context": rag_context} if rag_context else {}),\n'
' }],\n'
)
path.write_text(text.replace(marker, addition, 1), encoding="utf-8")
def update_rag_http_response(path: Path) -> None:
text = path.read_text(encoding="utf-8")
marker = ' "mcp_results": result.get("mcp_results"),\n'
addition = marker + ' "rag_results": result.get("rag_results"),\n'
if addition not in text:
text = replace_once(text, marker, addition, path)
path.write_text(text, encoding="utf-8")
def update_rag_telemetry(path: Path) -> None:
text = path.read_text(encoding="utf-8")
marker = ' "mcp_results": state.get("mcp_results", []),\n'
addition = marker + ' "rag_results": state.get("rag_results", []),\n'
if addition not in text:
text = replace_once(text, marker, addition, path)
path.write_text(text, encoding="utf-8")
def update_rag_env(path: Path) -> None:
text = path.read_text(encoding="utf-8")
if "KBDB_IDENTIFY_DOCUMENT=" in text:
return
marker = "RAG_FILE_GLOBS=*.md,*.txt,*.yaml,*.yml,*.json\n"
settings_block = """
# RAG / KBDB
# RAG provider: standard (local) ou kbdb (PKG_KB_SERVING.SEARCH_KNOWLEDGE_BASE)
RAG_PROVIDER=standard
# KBDB usa credenciais próprias; não há fallback para ADB_*.
KBDB_DB_USER=
KBDB_DB_PASSWORD=
KBDB_DB_DSN=
KBDB_DB_WALLET_LOCATION=
KBDB_DB_WALLET_PASSWORD=
KBDB_SEARCH_TYPE=hybrid
KBDB_NODE_EXPANSION=true
KBDB_NODE_MAX_RELATED=8
KBDB_GRAPH_CROSS_REF=false
KBDB_MAX_CROSS_REF_HOPS=1
KBDB_DOCUMENT_TYPE=customer_safe
KBDB_METADATA_JSON=
KBDB_MIN_SCORE=
KBDB_IDENTIFY_DOCUMENT=true
KBDB_STORE_QUERY=true
KBDB_IDENTIFY_TOP_N=3
RAG_GROUNDED_ONLY=false
KBDB_GROUNDED_ONLY=true
"""
if marker in text:
text = text.replace(marker, marker + "\n" + settings_block, 1)
else:
text = text.rstrip() + "\n\n" + settings_block
path.write_text(text, encoding="utf-8")
def main() -> None:
tuning = ROOT / "Tuning-Performance"
states = sorted(tuning.glob("**/app/state.py"))
graphs = sorted(tuning.glob("**/app/workflows/agent_graph.py"))
agents = sorted(tuning.glob("**/app/agents/*.py"))
mains = sorted(tuning.glob("**/app/main.py"))
envs = sorted(tuning.glob("**/.env.example"))
for path in states:
update_state(path)
for path in graphs:
update_graph(path)
update_evidence_propagation(path)
update_guardrail_evidence_context(path)
update_rag_propagation(path)
update_rag_telemetry(path)
for path in agents:
update_rag_agents(path)
for path in mains:
update_rag_http_response(path)
for path in envs:
update_rag_env(path)
print(f"pending_topics/RAG sincronizado: {len(states)} states, {len(graphs)} graphs, {len(agents)} agents, {len(mains)} APIs, {len(envs)} envs")
if __name__ == "__main__":
main()