jerryandClaude Fable 5
e6efb2bd7a
- src/rag/{qa_v1_1_73(41模块),retrieval,dual_kb_taxonomy_rag/entity_alias,normalized_release} = 18.3K 行
- 入口 scripts/qa_v1_1_73_server.py + 4 个 config yaml + requirements
- scripts/{start,stop,status,restart}.sh(端口参数化,影子 7921/生产 7920)
- env/prod.env(容器同源凭据,gitignored) + prod.env.example(占位符)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
47 lines
1.5 KiB
Python
Executable File
47 lines
1.5 KiB
Python
Executable File
#!/usr/bin/env python3
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from __future__ import annotations
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import os
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import sys
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from pathlib import Path
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from fastapi import FastAPI
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PROJECT_ROOT = Path(os.environ.get("GENE_FAMILY_ROOT", "/data/gene-family-mas-v2"))
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GFANALYSIS_ROOT = Path(os.environ.get("GFANALYSIS_ROOT", "/data/wutx/00test/gfAnalysis"))
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for root in (PROJECT_ROOT, GFANALYSIS_ROOT):
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value = str(root)
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if value not in sys.path:
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sys.path.insert(0, value)
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from src.rag.qa_v1_1_73.api import router
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from src.rag.qa_v1_1_73.backend_guard import validate_backends
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from src.rag.qa_v1_1_73.soft_gate_policy import gate_policy
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app = FastAPI(
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title="Plant Biology QA V1.1.73",
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version="1.1.73",
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description=(
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"QA V1.1.73: graph-balanced top30 plus cascaded two-hop native Neo4j path chains. The top30 context keeps "
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"at least 15 graph-derived evidence items when available, and sends "
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"native graph chains as a separate output. Chat composes a validated final LLM answer; "
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"retrieval-only search returns evidence without an answer."
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),
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)
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app.include_router(router)
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@app.on_event("startup")
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def validate_production_backends() -> None:
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app.state.kb_backend_identity = validate_backends()
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@app.get("/health")
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def health():
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return {
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"status": "ok",
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"service": "qa_v1_1_73",
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"version": "1.1.73-assertion-anchored",
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"gate_policy": gate_policy(),
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"backend": getattr(app.state, "kb_backend_identity", None),
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}
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