Files
alfred/alfred/settings.py
T

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6.7 KiB
Python

import secrets
from pathlib import Path
from typing import NamedTuple
import tomllib
from pydantic import Field, computed_field, field_validator
from pydantic_settings import BaseSettings, SettingsConfigDict
BASE_DIR = Path(__file__).resolve().parent.parent
ENV_FILE_PATH = BASE_DIR / ".env"
toml_path = BASE_DIR / "pyproject.toml"
class ConfigurationError(Exception):
"""Raised when configuration is invalid."""
pass
class ProjectVersions(NamedTuple):
"""
Immutable structure for project versions.
Forces explicit naming and prevents accidental swaps.
"""
librechat: str
rag: str
alfred: str
def get_versions_from_toml() -> ProjectVersions:
"""
Reads versioning information from pyproject.toml.
Returns the default value if the file or key is missing.
"""
if not toml_path.exists():
raise FileNotFoundError(f"pyproject.toml not found: {toml_path}")
with open(toml_path, "rb") as f:
data = tomllib.load(f)
try:
return ProjectVersions(
librechat=data["tool"]["alfred"]["settings"]["librechat_version"],
rag=data["tool"]["alfred"]["settings"]["rag_version"],
alfred=data["tool"]["poetry"]["version"],
)
except KeyError as e:
raise KeyError(f"Error: Missing key {e} in pyproject.toml") from e
# Load versions once
VERSIONS: ProjectVersions = get_versions_from_toml()
class Settings(BaseSettings):
model_config = SettingsConfigDict(
env_file=ENV_FILE_PATH,
env_file_encoding="utf-8",
extra="ignore",
case_sensitive=False,
)
# --- GENERAL SETTINGS ---
host: str = "0.0.0.0"
port: int = 3080
debug_logging: bool = False
debug_console: bool = False
data_storage: str = "data"
librechat_version: str = Field(VERSIONS.librechat, description="Librechat version")
rag_version: str = Field(VERSIONS.rag, description="RAG engine version")
alfred_version: str = Field(VERSIONS.alfred, description="Alfred version")
# --- CONTEXT SETTINGS ---
max_history_messages: int = 10
max_tool_iterations: int = 10
request_timeout: int = 30
# TODO: Finish
deepseek_base_url: str = "https://api.deepseek.com"
deepseek_model: str = "deepseek-chat"
# --- API KEYS ---
anthropic_api_key: str | None = Field(None, description="Claude API key")
deepseek_api_key: str | None = Field(None, description="Deepseek API key")
google_api_key: str | None = Field(None, description="Gemini API key")
kimi_api_key: str | None = Field(None, description="Kimi API key")
openai_api_key: str | None = Field(None, description="ChatGPT API key")
# --- SECURITY KEYS ---
# Generated automatically if not in .env to ensure "Secure by Default"
jwt_secret: str = Field(default_factory=lambda: secrets.token_urlsafe(32))
jwt_refresh_secret: str = Field(default_factory=lambda: secrets.token_urlsafe(32))
# We keep these for encryption of keys in MongoDB (AES-256 Hex format)
creds_key: str = Field(default_factory=lambda: secrets.token_hex(32))
creds_iv: str = Field(default_factory=lambda: secrets.token_hex(16))
# --- SERVICES ---
qbittorrent_url: str = "http://qbittorrent:16140"
qbittorrent_username: str = "admin"
qbittorrent_password: str = Field(default_factory=lambda: secrets.token_urlsafe(16))
mongo_host: str = "mongodb"
mongo_user: str = "alfred"
mongo_password: str = Field(
default_factory=lambda: secrets.token_urlsafe(24), repr=False, exclude=True
)
mongo_port: int = 27017
mongo_db_name: str = "alfred"
@computed_field(repr=False)
@property
def mongo_uri(self) -> str:
return (
f"mongodb://{self.mongo_user}:{self.mongo_password}"
f"@{self.mongo_host}:{self.mongo_port}/{self.mongo_db_name}"
f"?authSource=admin"
)
postgres_host: str = "vectordb"
postgres_user: str = "alfred"
postgres_password: str = Field(
default_factory=lambda: secrets.token_urlsafe(24), repr=False, exclude=True
)
postgres_port: int = 5432
postgres_db_name: str = "alfred"
@computed_field(repr=False)
@property
def postgres_uri(self) -> str:
return (
f"postgresql://{self.postgres_user}:{self.postgres_password}"
f"@{self.postgres_host}:{self.postgres_port}/{self.postgres_db_name}"
)
tmdb_api_key: str | None = Field(None, description="The Movie Database API key")
tmdb_base_url: str = "https://api.themoviedb.org/3"
# --- LLM PICKER & CONFIG ---
# Providers: 'local', 'deepseek', ...
default_llm_provider: str = "local"
ollama_base_url: str = "http://ollama:11434"
# Models: ...
ollama_model: str = "llama3.3:latest"
llm_temperature: float = 0.2
# --- RAG ENGINE ---
rag_enabled: bool = True # TODO: Handle False
rag_api_url: str = "http://rag_api:8000"
embeddings_provider: str = "ollama"
# Models: ...
embeddings_model: str = "nomic-embed-text"
# --- MEILISEARCH ---
meili_enabled: bool = Field(True, description="Enable meili")
meili_no_analytics: bool = True
meili_host: str = "http://meilisearch:7700"
meili_master_key: str = Field(
default_factory=lambda: secrets.token_urlsafe(32),
description="Master key for Meilisearch",
repr=False,
)
# --- VALIDATORS ---
@field_validator("llm_temperature")
@classmethod
def validate_temperature(cls, v: float) -> float:
if not 0.0 <= v <= 2.0:
raise ConfigurationError(
f"Temperature must be between 0.0 and 2.0, got {v}"
)
return v
@field_validator("max_tool_iterations")
@classmethod
def validate_max_iterations(cls, v: int) -> int:
if not 1 <= v <= 20:
raise ConfigurationError(
f"max_tool_iterations must be between 1 and 50, got {v}"
)
return v
@field_validator("request_timeout")
@classmethod
def validate_timeout(cls, v: int) -> int:
if not 1 <= v <= 300:
raise ConfigurationError(
f"request_timeout must be between 1 and 300 seconds, got {v}"
)
return v
@field_validator("deepseek_base_url", "tmdb_base_url")
@classmethod
def validate_url(cls, v: str, info) -> str:
if not v.startswith(("http://", "https://")):
raise ConfigurationError(f"Invalid {info.field_name}")
return v
def is_tmdb_configured(self):
return bool(self.tmdb_api_key)
def is_deepseek_configured(self):
return bool(self.deepseek_api_key)
def dump_safe(self):
return self.model_dump(exclude_none=False)
settings = Settings()