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Update app.py
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app.py
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from flask import Flask, request, jsonify
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from sentence_transformers import SentenceTransformer, util
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import os
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app = Flask(__name__)
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#
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"
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cache_folder=os.getenv("TRANSFORMERS_CACHE")
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)
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code_emb = model.encode(CODE, convert_to_tensor=True)
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@app.route('/search', methods=['POST'])
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def search():
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try:
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query_emb = model.encode(query, convert_to_tensor=True)
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return jsonify({
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})
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except Exception as e:
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if __name__ ==
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app.run(host='0.0.0.0', port=
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from flask import Flask, request, jsonify
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from sentence_transformers import SentenceTransformer, util
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app = Flask(__name__)
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# 预加载模型(线上部署关键)
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model = SentenceTransformer("flax-sentence-embeddings/st-codesearch-distilroberta-base")
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code_snippets = [...] # 你的代码片段
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code_embeddings = model.encode(code_snippets, convert_to_tensor=True)
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@app.route('/v1/search', methods=['POST'])
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def api_handler():
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"""生产级API端点"""
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try:
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# 请求验证
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if not request.is_json:
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return jsonify({"error": "Invalid Content-Type"}), 415
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data = request.get_json()
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if 'query' not in data:
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return jsonify({"error": "Missing query parameter"}), 400
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# 执行语义搜索
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query = data['query']
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query_emb = model.encode(query, convert_to_tensor=True)
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results = util.semantic_search(query_emb, code_embeddings, top_k=1)[0]
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# 构建响应
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return jsonify({
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"data": {
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"best_match": code_snippets[results[0]['corpus_id']],
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"similarity": float(results[0]['score'])
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}
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})
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except Exception as e:
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app.logger.error(f"API Error: {str(e)}")
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return jsonify({"error": "Internal Server Error"}), 500
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if __name__ == "__main__":
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app.run(host='0.0.0.0', port=8080)
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