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自内部仓库剥离深度优化与 RAG 知识库后的交付版本: - Builder 对话式简历生成(FSM + 意图路由 LLM 兜底增强) - 条目级轻度优化:事实覆盖门禁 + STAR/bullet 修复链,功能/简介/成果与技术栈同级保护 - 简历导入:DOCX/PDF 解析、结构归一、手机号脱敏 - PostgreSQL 运行时 + Alembic 迁移链 Co-Authored-By: Claude <noreply@anthropic.com>
36 lines
1.3 KiB
Markdown
36 lines
1.3 KiB
Markdown
# Resume Agent backend
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FastAPI service for the conversational resume builder: sessions, turns, resumes, imports,
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and light-optimization state, persisted in SQLite (pilot) or PostgreSQL (production).
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## Run locally
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Python 3.11 or newer is required.
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```bash
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python -m pip install -r requirements.txt
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cp .env.example .env
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# Leave OPENAI_API_KEY empty for offline rules, or fill in the live LLM gateway values.
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python -m uvicorn app.asgi:application --reload --port 8000
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```
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`app.asgi:application` wraps `app.main:app` and hides `/docs`, `/redoc`, and `/openapi.json`
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by default; set `RESUME_AGENT_API_DOCS=1` to expose them (development only).
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The runtime expects `DATABASE_URL` (PostgreSQL) and uses the `resume_agent` schema by
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default; override with `RESUME_AGENT_DATABASE_SCHEMA`. Run `alembic upgrade head` to create
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the tables, and `python scripts/migrate_sqlite_to_postgres.py` to move existing SQLite data.
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SQLite is used only when `database_path` is passed explicitly (tests, local pilot).
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CORS defaults to `http://localhost:5173`; set a comma-separated `RESUME_AGENT_CORS_ORIGINS`.
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The health check at `GET /health` is always open.
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## Tests
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```bash
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python -m pytest tests -q
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```
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Postgres-backed tests require `RESUME_AGENT_TEST_DATABASE_URL`; the rest run on SQLite
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temporary files. Tests force the rule-based LLM provider, so no API key is needed.
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