108 lines
3.0 KiB
Python
108 lines
3.0 KiB
Python
#!/usr/bin/env python3
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"""
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AI Review Service
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基于 DeepSeek + RAG 的 AI 内容审核微服务。
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接收纯文本字符串，返回结构化审核结果。
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"""
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from flask import Flask, request, jsonify
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from flask_cors import CORS
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from waitress import serve
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from dotenv import load_dotenv
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import hashlib
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import os
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import sys
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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load_dotenv(os.path.join(os.path.dirname(os.path.abspath(__file__)), ".env"))
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from agent.review_agent import ReviewAgent
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app = Flask(__name__)
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CORS(app)
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review_agent = ReviewAgent()
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@app.route('/review', methods=['POST'])
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def review():
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"""
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审核接口
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Request: {"content": "待审核的字符串"}
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Response: {"invalid": "true"} 或 {"invalid": "false"}
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"""
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data = request.get_json()
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if not data or 'content' not in data:
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return jsonify({"error": "content is required"}), 400
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content = data.get('content', '').strip()
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if not content:
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return jsonify({"error": "content cannot be empty"}), 400
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result = review_agent.review(content)
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return jsonify(result), 200
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@app.route('/rag/feedback', methods=['POST'])
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def rag_feedback():
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"""
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人工纠偏反馈接口 —— AI 审核结果与人工判断不一致时调用。
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Request: {"content": "被误判的文本", "correct_type": "violation"}
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correct_type: "violation" — AI 漏判了（AI 通过但实际违规）
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"safe" — AI 误杀了（AI 拦截但实际安全）
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Response: {"added": true, "id": "v_xxx", "md5": "xxx"}
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{"added": false, "reason": "duplicate"}
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"""
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data = request.get_json()
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if not data or 'content' not in data:
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return jsonify({"error": "content is required"}), 400
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content = data.get('content', '').strip()
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correct_type = data.get('correct_type', 'violation').strip()
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if not content:
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return jsonify({"error": "content cannot be empty"}), 400
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if correct_type not in ("violation", "safe"):
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return jsonify({"error": "correct_type must be 'violation' or 'safe'"}), 400
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md5_hash = hashlib.md5(content.encode("utf-8")).hexdigest()
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entry_id = f"{correct_type[:1]}_{md5_hash[:12]}"
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category = "human_feedback"
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added = review_agent.rag.add_example(entry_id, content, correct_type, category)
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return jsonify({
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"added": added,
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"id": entry_id if added else None,
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"md5": md5_hash,
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"reason": None if added else "duplicate",
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}), 200
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@app.route('/health', methods=['GET'])
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def health():
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return jsonify({"status": "ok"}), 200
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@app.route('/rag/list', methods=['GET'])
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def rag_list():
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"""返回 RAG 库中所有条目。"""
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entries = review_agent.rag.list_all()
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return jsonify({"total": len(entries), "entries": entries}), 200
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ADDR = os.getenv("AI_REVIEW_HOST", "127.0.0.1")
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PORT = int(os.getenv("AI_REVIEW_PORT", "8007"))
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if __name__ == "__main__":
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print(f'AI Review Service listening at http://{ADDR}:{PORT}')
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serve(app, host=ADDR, port=PORT)
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