flare / config_provider.py
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"""
Flare – ConfigProvider (date type support)
"""
from __future__ import annotations
import json, os
from pathlib import Path
from typing import Any, Dict, List, Optional
import commentjson
from utils import log
from pydantic import BaseModel, Field, HttpUrl, ValidationError
from encryption_utils import decrypt
class GlobalConfig(BaseModel):
work_mode: str = Field("hfcloud", pattern=r"^(hfcloud|cloud|on-premise)$")
cloud_token: Optional[str] = None
spark_endpoint: HttpUrl
users: List["UserConfig"] = []
def get_plain_token(self) -> Optional[str]:
if self.cloud_token:
# Lazy import to avoid circular dependency
from encryption_utils import decrypt
return decrypt(self.cloud_token)
return None
def is_cloud_mode(self) -> bool:
"""Check if running in cloud mode (hfcloud or cloud)"""
return self.work_mode in ("hfcloud", "cloud")
def is_on_premise(self) -> bool:
"""Check if running in on-premise mode"""
return self.work_mode == "on-premise"
# ---------------- Global -----------------
class UserConfig(BaseModel):
username: str
password_hash: str
salt: str
# ---------------- Retry / Proxy ----------
class RetryConfig(BaseModel):
retry_count: int = Field(3, alias="max_attempts")
backoff_seconds: int = 2
strategy: str = Field("static", pattern=r"^(static|exponential)$")
class ProxyConfig(BaseModel):
enabled: bool = True
url: HttpUrl
# ---------------- API & Auth -------------
class APIAuthConfig(BaseModel):
enabled: bool = False
token_endpoint: Optional[HttpUrl] = None
response_token_path: str = "access_token"
token_request_body: Dict[str, Any] = Field({}, alias="body_template")
token_refresh_endpoint: Optional[HttpUrl] = None
token_refresh_body: Dict[str, Any] = {}
class Config:
extra = "allow"
populate_by_name = True
class APIConfig(BaseModel):
name: str
url: HttpUrl
method: str = Field("GET", pattern=r"^(GET|POST|PUT|PATCH|DELETE)$")
headers: Dict[str, Any] = {}
body_template: Dict[str, Any] = {}
timeout_seconds: int = 10
retry: RetryConfig = RetryConfig()
proxy: Optional[str | ProxyConfig] = None
auth: Optional[APIAuthConfig] = None
response_prompt: Optional[str] = None
class Config:
extra = "allow"
populate_by_name = True
# ---------------- Intent / Param ---------
class ParameterConfig(BaseModel):
name: str
caption: Optional[str] = ""
type: str = Field(..., pattern=r"^(int|float|bool|str|string|date)$") # Added 'date'
required: bool = True
variable_name: str
extraction_prompt: Optional[str] = None
validation_regex: Optional[str] = None
invalid_prompt: Optional[str] = None
type_error_prompt: Optional[str] = None
def canonical_type(self) -> str:
if self.type == "string":
return "str"
elif self.type == "date":
return "str" # Store dates as strings in ISO format
return self.type
class IntentConfig(BaseModel):
name: str
caption: Optional[str] = ""
locale: str = "tr-TR"
dependencies: List[str] = []
examples: List[str] = []
detection_prompt: Optional[str] = None
parameters: List[ParameterConfig] = []
action: str
fallback_timeout_prompt: Optional[str] = None
fallback_error_prompt: Optional[str] = None
class Config:
extra = "allow"
# ---------------- Version / Project ------
class LLMConfig(BaseModel):
repo_id: str
generation_config: Dict[str, Any] = {}
use_fine_tune: bool = False
fine_tune_zip: str = ""
class VersionConfig(BaseModel):
id: int = Field(..., alias="version_number")
caption: Optional[str] = ""
published: bool = False
general_prompt: str
llm: "LLMConfig"
intents: List["IntentConfig"]
class Config:
extra = "allow"
populate_by_name = True
class ProjectConfig(BaseModel):
id: Optional[int] = None
name: str
caption: Optional[str] = ""
enabled: bool = True
last_version_number: Optional[int] = None
versions: List[VersionConfig]
class Config:
extra = "allow"
# ---------------- Service Config ---------
class ServiceConfig(BaseModel):
global_config: GlobalConfig = Field(..., alias="config")
projects: List[ProjectConfig]
apis: List[APIConfig]
# runtime helpers (skip validation)
_api_by_name: Dict[str, APIConfig] = {}
def build_index(self):
self._api_by_name = {a.name: a for a in self.apis}
def get_api(self, name: str) -> APIConfig | None:
return self._api_by_name.get(name)
# ---------------- Provider Singleton -----
class ConfigProvider:
_instance: Optional[ServiceConfig] = None
_CONFIG_PATH = Path(__file__).parent / "service_config.jsonc"
@classmethod
def get(cls) -> ServiceConfig:
if cls._instance is None:
cls._instance = cls._load()
cls._instance.build_index()
cls._check_environment_setup()
return cls._instance
@classmethod
def _load(cls) -> ServiceConfig:
"""Load configuration from service_config.jsonc"""
try:
log(f"πŸ“‚ Loading config from: {cls._CONFIG_PATH}")
if not cls._CONFIG_PATH.exists():
raise FileNotFoundError(f"Config file not found: {cls._CONFIG_PATH}")
with open(cls._CONFIG_PATH, 'r', encoding='utf-8') as f:
config_data = commentjson.load(f)
# Create ServiceConfig instance
service_config = ServiceConfig(**config_data)
log("βœ… Configuration loaded successfully")
return service_config
except FileNotFoundError as e:
log(f"❌ Config file not found: {e}")
raise
except json.JSONDecodeError as e:
log(f"❌ Invalid JSON in config file: {e}")
raise
except ValidationError as e:
log(f"❌ Config validation error: {e}")
raise
except Exception as e:
log(f"❌ Unexpected error loading config: {e}")
raise
@classmethod
def _check_environment_setup(cls):
"""Check if environment is properly configured based on work_mode"""
config = cls._instance.global_config
if config.is_cloud_mode():
# Cloud mode - check for HuggingFace Secrets
missing_secrets = []
if not os.getenv("JWT_SECRET"):
missing_secrets.append("JWT_SECRET")
if not os.getenv("FLARE_TOKEN_KEY"):
missing_secrets.append("FLARE_TOKEN_KEY")
if not os.getenv("SPARK_TOKEN"):
missing_secrets.append("SPARK_TOKEN")
if missing_secrets:
log(f"⚠️ Running in {config.work_mode} mode. Missing secrets: {', '.join(missing_secrets)}")
log("πŸ“Œ Add these in HuggingFace Space Settings β†’ Repository secrets")
else:
log(f"βœ… Running in {config.work_mode} mode with all required secrets")
elif config.is_on_premise():
# On-premise mode - check for .env file
env_path = Path(".env")
if env_path.exists():
from dotenv import load_dotenv
load_dotenv()
log("βœ… Running in on-premise mode with .env file")
else:
log("⚠️ Running in on-premise mode but .env file not found")
log("πŸ“Œ Copy .env.example to .env and configure it")