curo1305
3ed6dd494f
- Add generate_presigned_put_url and stat_object abstract methods to StorageBackend ABC - Extend MinIOBackend with dual client (self._client internal + self._public_client public) - MinIOBackend.__init__ accepts optional public_endpoint param (RESEARCH.md Finding 3) - generate_presigned_put_url uses self._public_client for browser-resolvable URLs - stat_object uses self._client.stat_object and returns .size (authoritative, T-03-05) - get_storage_backend() passes public_endpoint=settings.minio_public_endpoint - config.py adds minio_public_endpoint field (RESEARCH.md Finding 3) - docker-compose.yml: MINIO_API_CORS_ALLOW_ORIGIN on minio service (T-03-09) - docker-compose.yml: MINIO_PUBLIC_ENDPOINT on backend service - docker-compose.yml: new celery-beat service (RESEARCH.md Finding 10)
95 lines
3.1 KiB
Python
95 lines
3.1 KiB
Python
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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"""Phase 1 Pydantic Settings — reads all Phase 1 env vars from environment or .env file."""
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model_config = SettingsConfigDict(
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env_file=".env",
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env_file_encoding="utf-8",
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extra="ignore",
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env_list_separator=",",
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)
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# Data directory — used only for the flat-file settings.json path (Phase 1)
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data_dir: str = "/app/data"
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# PostgreSQL
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database_url: str = "postgresql+psycopg://docuvault_app:changeme_app@postgres:5432/docuvault"
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database_migrate_url: str = "postgresql+psycopg://docuvault_migrate:changeme_migrate@postgres:5432/docuvault"
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# MinIO
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minio_endpoint: str = "minio:9000"
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minio_access_key: str = "docuvault_app"
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minio_secret_key: str = "changeme_minio_app"
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minio_bucket: str = "docuvault"
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# RESEARCH.md Finding 3 — browser-resolvable hostname for presigned URLs.
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# Empty string means fall back to minio_endpoint inside MinIOBackend.
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minio_public_endpoint: str = ""
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# Redis / Celery
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redis_url: str = "redis://:changeme_redis@redis:6379/0"
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# Security (Phase 2 — documented now, not read by Phase 1 code paths)
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secret_key: str = "CHANGEME"
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# Auth / JWT (Phase 2)
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access_token_expire_minutes: int = 15
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refresh_token_expire_days: int = 30
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# SMTP (Phase 2 — D-01)
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smtp_host: str = ""
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smtp_port: int = 587
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smtp_user: str = ""
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smtp_password: str = ""
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smtp_from: str = "noreply@docuvault.local"
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# Admin bootstrap (Phase 2 — D-04)
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admin_email: str = ""
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admin_password: str = ""
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# CORS (Phase 2 — D-09)
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cors_origins: list[str] = ["http://localhost:5173"]
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# Frontend URL — used to build password reset links (D-02, D-03)
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frontend_url: str = "http://localhost:5173"
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settings = Settings()
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# SETTINGS_FILE: still flat-file in Phase 1; migrates to users.ai_provider in Phase 2
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SETTINGS_FILE = Path(settings.data_dir) / "settings.json"
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DEFAULT_SYSTEM_PROMPT = """You are a document classification assistant. When given a document's text content and a list of existing topics, you must:
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1. Assign the document to one or more relevant topics from the list.
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2. If no existing topics fit well, suggest new topic names.
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Return ONLY valid JSON in this exact format, with no additional text or explanation:
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{"assigned_topics": ["topic1"], "new_topic_suggestions": ["new topic name"]}
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If the document fits no topics and you have no suggestions, return: {"assigned_topics": [], "new_topic_suggestions": []}"""
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DEFAULT_SETTINGS = {
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"system_prompt": DEFAULT_SYSTEM_PROMPT,
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"active_provider": "lmstudio",
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"providers": {
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"anthropic": {
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"api_key": "",
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"model": "claude-sonnet-4-6"
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},
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"openai": {
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"api_key": "",
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"model": "gpt-4o",
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"base_url": None
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},
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"ollama": {
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"base_url": "http://host.docker.internal:11434",
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"model": "llama3.2"
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},
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"lmstudio": {
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"base_url": "http://host.docker.internal:1234",
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"model": "gemma-4-e4b-it"
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}
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}
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}
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