53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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# Database
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database_url: str = "postgresql+asyncpg://tdjx:1309@localhost:5432/hr_ai"
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# Redis Configuration (for Celery and caching)
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redis_cache_url: str = "localhost"
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redis_cache_port: int = 6379
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redis_cache_db: int = 0
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# Milvus Vector Database
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milvus_uri: str = "http://localhost:19530"
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milvus_collection: str = "candidate_profiles"
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# S3 Storage
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s3_endpoint_url: str = "https://s3.selcdn.ru"
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s3_access_key_id: str
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s3_secret_access_key: str
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s3_bucket_name: str
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s3_region: str = "ru-1"
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# LLM API Keys
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openai_api_key: str | None = None
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anthropic_api_key: str | None = None
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openai_model: str = "gpt-5-mini"
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openai_embeddings_model: str = "text-embedding-3-small"
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# PDF Generation API Keys
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cloudmersive_api_key: str | None = None
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# AI Agent API Keys (for voice interviewer)
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deepgram_api_key: str | None = None
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cartesia_api_key: str | None = None
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elevenlabs_api_key: str | None = None
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resemble_api_key: str | None = None
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# LiveKit Configuration
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livekit_url: str = "ws://localhost:7880"
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livekit_api_key: str = "devkey"
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livekit_api_secret: str = "devkey_secret_32chars_minimum_length"
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# App Configuration
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app_env: str = "development"
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debug: bool = True
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class Config:
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env_file = ".env"
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settings = Settings()
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