config_provider.py

"""
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|gpt4o|gpt4o-mini)$")
    cloud_token: Optional[str] = None
    spark_endpoint: HttpUrl
    internal_prompt: Optional[str] = None  # Yeni alan
    users: List["UserConfig"] = []

    def is_gpt_mode(self) -> bool:
        """Check if running in GPT mode (any variant)"""
        return self.work_mode in ("gpt4o", "gpt4o-mini")
    
    def get_gpt_model(self) -> str:
        """Get the GPT model name for OpenAI API"""
        if self.work_mode == "gpt4o":
            return "gpt-4o"
        elif self.work_mode == "gpt4o-mini":
            return "gpt-4o-mini"
        return None

    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 ResponseMappingConfig(BaseModel):
    """Response mapping configuration"""
    variable_name: str = Field(..., pattern=r"^[a-z_][a-z0-9_]*$")
    type: str = Field(..., pattern=r"^(int|float|bool|str|date)$")
    json_path: str

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
    response_mappings: List[ResponseMappingConfig] = []  # Yeni alan

    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] = ""
    icon: Optional[str] = "folder" 
    description: Optional[str] = ""
    enabled: bool = True
    default_language: str = "Turkish"
    supported_languages: List[str] = Field(default_factory=lambda: ["tr"])
    timezone: str = "Europe/Istanbul" 
    region: str = "tr-TR"
    last_version_number: Optional[int] = None
    versions: List[VersionConfig]
    
    # Audit fields
    last_update_date: Optional[str] = None
    last_update_user: Optional[str] = None
    created_date: Optional[str] = None
    created_by: Optional[str] = None
    deleted: bool = False

    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"📂 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("✅ 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("📌 Add these in HuggingFace Space Settings → Repository secrets")
            else:
                log(f"✅ 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("✅ Running in on-premise mode with .env file")
            else:
                log("⚠️ Running in on-premise mode but .env file not found")
                log("📌 Copy .env.example to .env and configure it")