87 lines
2.4 KiB
Python
87 lines
2.4 KiB
Python
"""Configuração do backend via variáveis de ambiente."""
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from __future__ import annotations
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from functools import lru_cache
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from pathlib import Path
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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"""Configuração lida do ambiente ou do arquivo .env."""
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model_config = SettingsConfigDict(
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env_file=(".env", "../.env"),
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env_file_encoding="utf-8",
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extra="ignore",
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)
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# Caminhos
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pdf_dir: Path = Path("/data/pdfs")
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vector_db_dir: Path = Path("/data/vector_db")
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# Provedor de LLM: ollama | openai | groq | anthropic | stub
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llm_provider: str = "ollama"
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ollama_base_url: str = "http://ollama:11434"
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ollama_model: str = "qwen2.5:1.5b"
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openai_base_url: str = "https://api.openai.com/v1"
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openai_model: str = "gpt-4o-mini"
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openai_api_key: str = ""
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groq_base_url: str = "https://api.groq.com/openai/v1"
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groq_model: str = "llama-3.3-70b-versatile"
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groq_api_key: str = ""
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anthropic_base_url: str = "https://api.anthropic.com"
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anthropic_model: str = "claude-sonnet-4-5"
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anthropic_api_key: str = ""
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# Embeddings
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embedding_model: str = "paraphrase-multilingual-MiniLM-L12-v2"
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embedding_batch_size: int = 32
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# Busca
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top_k: int = 6
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min_similarity: float = 0.35
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collection_name: str = "biblia"
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# OCR
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ocr_dpi: int = 200
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ocr_language: str = "por+eng"
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ocr_timeout: int = 120
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ocr_workers: int = 4
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min_legible_ratio: float = 0.35
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# API
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cors_origins: str = "http://localhost:8080,http://127.0.0.1:8080"
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reindex_token: str = ""
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max_message_length: int = 4000
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max_history_turns: int = 10
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# Limites de ingestão
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max_pdf_bytes: int = 200 * 1024 * 1024
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# Indexação automática na inicialização
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auto_index: bool = True
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@property
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def ocr_cache_dir(self) -> Path:
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return self.vector_db_dir / "ocr_cache"
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@property
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def manifest_path(self) -> Path:
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return self.vector_db_dir / "manifest.json"
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@property
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def book_index_path(self) -> Path:
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return self.vector_db_dir / "book_index.json"
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@property
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def cors_origin_list(self) -> list[str]:
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return [origin.strip() for origin in self.cors_origins.split(",") if origin.strip()]
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@lru_cache(maxsize=1)
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def get_settings() -> Settings:
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"""Devolve as settings singleton do processo."""
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return Settings()
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