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config.py
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141 lines (117 loc) · 5.3 KB
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import json
import logging
import os
import tomllib
from pathlib import Path
from typing import Any, Dict, Iterable, Union
from dotenv import load_dotenv
load_dotenv()
logger = logging.getLogger(__name__)
def load_toml_config(file_path: str = "config.toml") -> Dict[str, Any]:
"""Charge la configuration depuis un fichier TOML"""
with open(file_path, "rb") as f:
return tomllib.load(f)
def read_file(file_path: Union[str, Path]) -> str:
"""Lit le contenu d'un fichier texte"""
with open(file_path, "r", encoding="utf-8") as f:
txt = f.read()
return txt
CONFIG = load_toml_config()
CONFIG_SECTION: Dict[str, Any] = CONFIG.get("config", {})
API_SECTION: Dict[str, Any] = CONFIG.get("api", {})
LOGS_SECTION: Dict[str, Any] = CONFIG.get("logs", {})
MEMORY_SECTION: Dict[str, Any] = CONFIG.get("memory", {})
MODELS_SECTION: Dict[str, Any] = CONFIG.get("models", {})
DATABASE_SECTION: Dict[str, Any] = CONFIG.get("database", {})
UNIFIED_TEXT_SECTION: Dict[str, Any] = CONFIG.get("unified_text", {})
LIMITS_SECTION: Dict[str, Any] = CONFIG.get("limits", {})
LOGGING_LEVEL_STR = LOGS_SECTION.get("logging_level")
level_mapping = {
"DEBUG": logging.DEBUG,
"INFO": logging.INFO,
"WARNING": logging.WARNING,
"ERROR": logging.ERROR,
"CRITICAL": logging.CRITICAL,
}
DEBUG: bool = bool(CONFIG_SECTION.get("debug"))
DEV_IDS: list[int] = CONFIG_SECTION.get("dev_ids", [])
AVAILABLE_MODELS: Iterable[str] = MODELS_SECTION.get("available_models")
_MODELS_LIST = MODELS_SECTION.get("models", [])
MODELS: Dict[str, str] = {model["name"]: model["description"] for model in _MODELS_LIST}
MODELS_OWNERS: Dict[str, str] = {
model["name"]: model.get("owner", "") for model in _MODELS_LIST
}
LOGGING_LEVEL: int = level_mapping.get(LOGGING_LEVEL_STR.upper())
LOGGER_NAME: str = LOGS_SECTION.get("logger_name")
LOGS_CHANNEL_ID: int = LOGS_SECTION.get("channel_id")
LOGS_CATEGORY_ID: int = LOGS_SECTION.get("category_id")
LOG_ROLE_ID: int = LOGS_SECTION.get("log_role_id")
GRAFANA_USER_ID: str = LOGS_SECTION.get("user_id")
GRAFANA_API_KEY: str = os.environ.get("GRAFANA_API_KEY")
GRAFANA_URL: str = LOGS_SECTION.get("grafana_url")
API_HOST: str = API_SECTION.get("host")
API_PORT: int = API_SECTION.get("port")
API_SSL_CERTFILE: str = API_SECTION.get("ssl_certfile")
API_SSL_KEYFILE: str = API_SECTION.get("ssl_keyfile")
API_URL: str = API_SECTION.get("api_url")
API_REQUEST_TIMEOUT: int = API_SECTION.get("request_timeout")
API_KEY_REQUIRED: bool = bool(API_SECTION.get("api_key_required"))
API_KEYS_FILE: str = "data/api_keys.json"
API_KEYS: Dict[str, Dict[str, Any]] = {}
API_KEYS_MAPPING: Dict[str, str] = {}
if Path(API_KEYS_FILE).exists():
try:
with open(API_KEYS_FILE, "r") as f:
API_KEYS = json.load(f)
except Exception as e:
logger.error(f"Failed to load API keys: {e}")
API_KEYS = {}
SUPPORT_SERVER: str = str(CONFIG_SECTION.get("support_server"))
EMBEDDER_MODEL: str = MEMORY_SECTION.get("embedder_model")
EMBEDDER_CACHE_DIR: str = MEMORY_SECTION.get("embedder_cache_dir")
RERANKER_MODEL: str = MEMORY_SECTION.get("reranker_model")
RERANKER_CACHE_DIR: str = MEMORY_SECTION.get("reranker_cache_dir")
STM_MAX_AGE = MEMORY_SECTION.get("stm_max_age")
LTM_MIN_SIMILARITY = MEMORY_SECTION.get("ltm_min_similarity")
BOT_TOKEN: str = (
os.environ.get("BOT_TOKEN") if not DEBUG else os.environ.get("DEV_BOT_TOKEN")
)
ADMIN_BOT_TOKEN: str = (
os.environ.get("ADMIN_BOT_TOKEN")
if not DEBUG
else os.environ.get("DEV_ADMIN_BOT_TOKEN")
)
LOGGER_BOT_TOKEN: str = os.environ.get("LOGGER_BOT_TOKEN")
ADDONS_BOTS_TOKENS_ENV_NAMES: list[str] = [
"ADDON_1_BOT_TOKEN", "ADDON_2_BOT_TOKEN"
]
ADDONS_BOTS_TOKENS: list[str] = [
os.environ.get(env_name) for env_name in ADDONS_BOTS_TOKENS_ENV_NAMES
]
POLLINATIONS_API_KEY: str = os.environ.get("POLLINATIONS_API_KEY")
GRATISFY_API_KEY: str = os.environ.get("GRATISFY_API_KEY")
HF_TOKEN: str = os.environ.get("HUGGINGFACE_TOKEN")
GITHUB_TOKEN: str = os.environ.get("GITHUB_TOKEN")
GITHUB_OWNER: str = CONFIG_SECTION.get("github_owner")
GITHUB_REPO: str = CONFIG_SECTION.get("github_repo")
BUG_REPORT_CHANNEL_ID: int = CONFIG_SECTION.get("bug_report_channel_id")
IMGBB_API_KEY: str = os.environ.get("IMGBB_API_KEY")
CLOUDINARY_URL: str = os.environ.get("CLOUDINARY_URL")
SUPABASE_USER: str = os.environ.get("SUPABASE_USER")
SUPABASE_PASSWORD: str = os.environ.get("SUPABASE_PASSWORD")
SUPABASE_HOST: str = os.environ.get("SUPABASE_HOST")
SUPABASE_PORT: str = os.environ.get("SUPABASE_PORT")
SUPABASE_DBNAME: str = os.environ.get("SUPABASE_DBNAME")
SUPABASE_PG: str = (
f"postgresql://{SUPABASE_USER}:{SUPABASE_PASSWORD}@{SUPABASE_HOST}:{SUPABASE_PORT}/{SUPABASE_DBNAME}"
)
TABLES_TO_CLONE: Iterable[str] = DATABASE_SECTION.get("tables_to_clone")
PROMPT_DIR: str = UNIFIED_TEXT_SECTION.get("prompt_dir")
EVILGPT_PROMPT_PATH: Path = Path(PROMPT_DIR) / "evilgpt_prompt.txt"
DISCORD_PROMPT_PATH: Path = Path(PROMPT_DIR) / "discord_prompt.txt"
MAX_STM_MESSAGES: int = LIMITS_SECTION.get("max_stm_messages", 50)
MAX_LTM_RESULTS: int = LIMITS_SECTION.get("max_ltm_results", 5)
MAX_CONVERSATION_HISTORY: int = LIMITS_SECTION.get("max_conversation_history", 10)
API_RATE_LIMIT: int = LIMITS_SECTION.get("api_rate_limit", 100)
API_BAN_THRESHOLD: int = LIMITS_SECTION.get("api_ban_threshold", 10)
DISCORD_RATE_LIMIT: int = LIMITS_SECTION.get("discord_rate_limit", 30)