46 lines
1.8 KiB
Python
46 lines
1.8 KiB
Python
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# -*- coding: utf-8 -*-
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"""
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智能荐股系统 - 全局配置
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所有环境相关配置集中在此，便于迁移与扩展（后期接入真实行情/新闻只需替换数据层）
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"""
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import os
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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DATA_DIR = os.path.join(BASE_DIR, "data")
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LOG_DIR = os.path.join(BASE_DIR, "logs")
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STATIC_DIR = os.path.join(BASE_DIR, "static")
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TEMPLATE_DIR = os.path.join(BASE_DIR, "templates")
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DB_PATH = os.path.join(DATA_DIR, "stock_advisor.db")
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os.makedirs(DATA_DIR, exist_ok=True)
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os.makedirs(LOG_DIR, exist_ok=True)
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# ---------------- 大模型（DeepSeek） ----------------
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LLM_BASE_URL = "https://api.deepseek.com"
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LLM_API_KEY = "sk-edb9df58ff574f8c98df1cd6a425e97c"
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LLM_MODEL = "deepseek-v4-flash"
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LLM_TIMEOUT = 150 # 推理模型生成深度报告较慢，放宽超时
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LLM_MAX_TOKENS = 4096
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LLM_TEMPERATURE = 0.5
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# ---------------- Embedding 服务（本地 16011，OpenAI 兼容） ----------------
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EMBEDDING_API_URL = "http://121.40.164.32:16011/v1/embeddings"
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EMBEDDING_MODEL = "bge-large-zh-v1.5" # 1024 维
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EMBEDDING_DIM = 1024
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# ---------------- Rerank 服务（本地 16011，Cohere 兼容，可选增强） ----------------
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RERANK_API_URL = "http://121.40.164.32:16011/v1/rerank"
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RERANK_MODEL = "bge-reranker-v2-m3"
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USE_RERANK = False # 荐股场景先关闭，纯检索足够
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# ---------------- Chroma 向量库（本地 16010） ----------------
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CHROMA_HOST = "121.40.164.32"
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CHROMA_PORT = 16010
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CHROMA_NEWS_COLLECTION = "stock_news_v1" # 财经新闻语义索引
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CHROMA_PROFILE_COLLECTION = "stock_profiles_v1" # 公司概况语义索引
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# ---------------- 服务 ----------------
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SERVICE_PORT = 16095
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SERVICE_HOST = "0.0.0.0"
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SERVICE_NAME = "智能荐股系统"
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IS_MOCK = True # 当前数据为模拟数据（后期接入真实数据后改为 False）
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