config.py 3.9 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132
  1. import os
  2. import platform
  3. def get_environment():
  4. """
  5. 获取当前运行环境
  6. 优先级:
  7. 1. 环境变量 FLASK_ENV
  8. 2. 根据操作系统自动判断(Windows -> development, Linux -> production)
  9. """
  10. # 首先检查环境变量
  11. env = os.environ.get('FLASK_ENV')
  12. if env:
  13. return env.lower()
  14. # 根据操作系统判断
  15. system = platform.system().lower()
  16. if system == 'windows':
  17. return 'development'
  18. elif system == 'linux':
  19. return 'production'
  20. else:
  21. return 'development' # 其他系统默认使用开发环境
  22. class BaseConfig:
  23. """基础配置类,包含所有环境共享的配置"""
  24. SECRET_KEY = os.environ.get('SECRET_KEY') or 'you-will-never-guess'
  25. JSON_AS_ASCII = False
  26. # 平台特定配置
  27. PLATFORM = platform.system().lower()
  28. # 文件上传配置
  29. ALLOWED_EXTENSIONS = {'txt', 'pdf', 'png', 'jpg', 'jpeg', 'gif', 'xlsx', 'xls', 'csv', 'sql', 'dll'}
  30. # 数据抽取配置
  31. DATA_EXTRACT_BATCH_SIZE = 1000 # 每批处理的记录数
  32. # PostgreSQL 基础配置
  33. SQLALCHEMY_ENGINE_OPTIONS = {
  34. 'pool_pre_ping': True,
  35. 'pool_recycle': 300,
  36. 'pool_size': 10,
  37. 'max_overflow': 20
  38. }
  39. # LLM基础配置
  40. LLM_BASE_URL = "https://dashscope.aliyuncs.com/compatible-mode/v1"
  41. LLM_MODEL_NAME = "qwen-turbo"
  42. # LLM_API_KEY = os.environ.get('LLM_API_KEY', "sk-86d4622141d74e9a8d7c38ee873c4d91")
  43. LLM_API_KEY = os.environ.get('LLM_API_KEY', "sk-db68e37f00974031935395315bfe07f0")
  44. # 日志基础配置
  45. LOG_FORMAT = '%(asctime)s - %(levelname)s - %(filename)s - %(funcName)s - %(lineno)s - %(message)s'
  46. LOG_ENCODING = 'UTF-8'
  47. LOG_ENABLED = True
  48. class DevelopmentConfig(BaseConfig):
  49. """Windows 开发环境配置"""
  50. FLASK_ENV = 'development'
  51. DEBUG = True
  52. PORT = 5500
  53. # 开发环境 MinIO 配置
  54. MINIO_HOST = 'localhost:9000'
  55. MINIO_USER = 'citu-test'
  56. MINIO_PASSWORD = 'citu-test'
  57. MINIO_SECURE = False
  58. MINIO_BUCKET = 'dataops-bucket'
  59. PREFIX = ''
  60. # 开发环境 PostgreSQL 配置
  61. SQLALCHEMY_DATABASE_URI = 'postgresql://postgres:postgres@localhost:5432/dataops'
  62. # 开发环境 Neo4j 配置
  63. NEO4J_URI = "bolt://localhost:7687"
  64. NEO4J_HTTP_URI = "http://localhost:7474"
  65. NEO4J_USER = "neo4j"
  66. NEO4J_PASSWORD = "Passw0rd"
  67. NEO4J_ENCRYPTED = False
  68. # 开发环境文件路径配置
  69. UPLOAD_BASE_PATH = 'C:\\tmp\\upload'
  70. ARCHIVE_BASE_PATH = 'C:\\tmp\\archive'
  71. # 开发环境日志配置
  72. LOG_LEVEL = 'DEBUG'
  73. LOG_FILE = 'flask_development.log'
  74. LOG_TO_CONSOLE = True
  75. class ProductionConfig(BaseConfig):
  76. """Linux 生产环境配置"""
  77. FLASK_ENV = 'production'
  78. DEBUG = False
  79. PORT = 80
  80. # 生产环境 MinIO 配置
  81. MINIO_HOST = '192.168.3.143:9000'
  82. MINIO_USER = 'citu-dataops-acc-key'
  83. MINIO_PASSWORD = 'citu-dataops-secret-key'
  84. MINIO_SECURE = False
  85. MINIO_BUCKET = 'dataops-bucket'
  86. PREFIX = ''
  87. # 生产环境 PostgreSQL 配置
  88. SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL', 'postgresql://postgres:dataOps@192.168.3.143:5432/dataops')
  89. # 生产环境 Neo4j 配置
  90. NEO4J_URI = os.environ.get('NEO4J_URI', "bolt://192.168.3.143:7687")
  91. NEO4J_HTTP_URI = os.environ.get('NEO4J_HTTP_URI', "http://192.168.3.143:7474")
  92. NEO4J_USER = os.environ.get('NEO4J_USER', "neo4j")
  93. NEO4J_PASSWORD = os.environ.get('NEO4J_PASSWORD', "cituneo4j")
  94. NEO4J_ENCRYPTED = False
  95. # 生产环境文件路径配置
  96. UPLOAD_BASE_PATH = '/data/upload'
  97. ARCHIVE_BASE_PATH = '/data/archive'
  98. # 生产环境日志配置
  99. LOG_LEVEL = 'INFO'
  100. LOG_FILE = 'flask_production.log'
  101. LOG_TO_CONSOLE = False
  102. # 配置字典
  103. config = {
  104. 'development': DevelopmentConfig,
  105. 'production': ProductionConfig,
  106. 'default': DevelopmentConfig
  107. }
  108. # 获取当前环境
  109. current_env = get_environment()