- Introduced the Report Agent module to facilitate the automatic generation of simulation analysis reports using LangChain and Zep, following the ReACT model. - Added functionality for report outline planning, segmented content generation, and user interaction through a dialogue interface. - Implemented new API endpoints for report generation, status checking, and retrieval, enhancing the overall reporting capabilities. - Updated README.md to include detailed instructions on the new report generation features and API usage. - Enhanced the project structure to accommodate the new report management functionalities, including report storage and retrieval mechanisms.
80 lines
2.6 KiB
Python
80 lines
2.6 KiB
Python
"""
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MiroFish Backend - Flask应用工厂
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"""
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import os
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import warnings
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# 抑制 multiprocessing resource_tracker 的警告(来自第三方库如 transformers)
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# 需要在所有其他导入之前设置
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warnings.filterwarnings("ignore", message=".*resource_tracker.*")
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from flask import Flask, request
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from flask_cors import CORS
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from .config import Config
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from .utils.logger import setup_logger, get_logger
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def create_app(config_class=Config):
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"""Flask应用工厂函数"""
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app = Flask(__name__)
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app.config.from_object(config_class)
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# 设置JSON编码:确保中文直接显示(而不是 \uXXXX 格式)
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# Flask >= 2.3 使用 app.json.ensure_ascii,旧版本使用 JSON_AS_ASCII 配置
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if hasattr(app, 'json') and hasattr(app.json, 'ensure_ascii'):
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app.json.ensure_ascii = False
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# 设置日志
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logger = setup_logger('mirofish')
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# 只在 reloader 子进程中打印启动信息(避免 debug 模式下打印两次)
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is_reloader_process = os.environ.get('WERKZEUG_RUN_MAIN') == 'true'
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debug_mode = app.config.get('DEBUG', False)
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should_log_startup = not debug_mode or is_reloader_process
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if should_log_startup:
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logger.info("=" * 50)
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logger.info("MiroFish Backend 启动中...")
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logger.info("=" * 50)
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# 启用CORS
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CORS(app, resources={r"/api/*": {"origins": "*"}})
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# 注册模拟进程清理函数(确保服务器关闭时终止所有模拟进程)
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from .services.simulation_runner import SimulationRunner
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SimulationRunner.register_cleanup()
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if should_log_startup:
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logger.info("已注册模拟进程清理函数")
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# 请求日志中间件
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@app.before_request
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def log_request():
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logger = get_logger('mirofish.request')
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logger.debug(f"请求: {request.method} {request.path}")
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if request.content_type and 'json' in request.content_type:
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logger.debug(f"请求体: {request.get_json(silent=True)}")
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@app.after_request
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def log_response(response):
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logger = get_logger('mirofish.request')
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logger.debug(f"响应: {response.status_code}")
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return response
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# 注册蓝图
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from .api import graph_bp, simulation_bp, report_bp
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app.register_blueprint(graph_bp, url_prefix='/api/graph')
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app.register_blueprint(simulation_bp, url_prefix='/api/simulation')
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app.register_blueprint(report_bp, url_prefix='/api/report')
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# 健康检查
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@app.route('/health')
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def health():
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return {'status': 'ok', 'service': 'MiroFish Backend'}
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if should_log_startup:
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logger.info("MiroFish Backend 启动完成")
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return app
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