Mireya Cueto Garrido
7bc27da33a
Upload documents for AI context, exam images for Moodle questions, per-template storage limits, embedded images in XML export, and GUIA_API_Y_FLUJO.md with full endpoint documentation.
52 lines
1.9 KiB
Python
52 lines
1.9 KiB
Python
from functools import lru_cache
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from pydantic import Field
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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app_name: str = "GenExamenes IA"
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environment: str = "local"
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api_prefix: str = ""
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api_key: str = Field(min_length=16)
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database_url: str = "postgresql+psycopg://genexamenes:genexamenes@localhost:5432/genexamenes"
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allowed_origins: str = "http://localhost:3000"
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rate_limit_requests: int = Field(default=60, ge=1)
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rate_limit_window_seconds: int = Field(default=60, ge=1)
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max_request_bytes: int = Field(default=1_048_576, ge=1_024)
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llm_api_key: str | None = None
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llm_base_url: str = "https://api.openai.com/v1"
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llm_model: str = "gpt-4o-mini"
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llm_timeout_seconds: int = Field(default=60, ge=5)
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jwt_secret_key: str = Field(min_length=32)
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jwt_algorithm: str = "HS256"
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jwt_expire_minutes: int = Field(default=60 * 24, ge=5)
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google_client_id: str | None = None
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upload_dir: str = "/app/uploads"
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max_upload_bytes: int = Field(default=20_971_520, ge=1_024)
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max_materials_per_template: int = Field(default=10, ge=1, le=50)
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max_reference_chars: int = Field(default=12_000, ge=1_000, le=100_000)
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max_image_bytes: int = Field(default=5_242_880, ge=1_024)
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max_images_per_template: int = Field(default=20, ge=1, le=100)
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max_storage_bytes_per_template: int = Field(
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default=52_428_800,
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ge=1_024,
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description="Cupo total por examen (materiales + imágenes). Por defecto 50 MB.",
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)
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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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case_sensitive=False,
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extra="ignore",
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)
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@property
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def cors_origins(self) -> list[str]:
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return [origin.strip() for origin in self.allowed_origins.split(",") if origin.strip()]
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@lru_cache
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def get_settings() -> Settings:
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return Settings()
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