"""API endpoints for AI summarization."""
import uuid
import os
from fastapi import APIRouter, HTTPException, BackgroundTasks, Depends
from pydantic import BaseModel, Field
from typing import Optional, List, Dict, Any

from ..services.ai_service import SummaryRequest, SummaryLength
from ..services.deepseek_summarizer import DeepSeekSummarizer
from ..core.exceptions import AIServiceError, CostLimitExceededError

router = APIRouter(prefix="/api", tags=["summarization"])

# In-memory storage for async job results (replace with Redis/DB in production)
job_results: Dict[str, Any] = {}


class SummarizeRequest(BaseModel):
    """Request model for summarization endpoint."""
    transcript: str = Field(..., description="Video transcript to summarize")
    length: SummaryLength = Field(SummaryLength.STANDARD, description="Summary length preference")
    focus_areas: Optional[List[str]] = Field(None, description="Areas to focus on")
    language: str = Field("en", description="Content language")
    async_processing: bool = Field(False, description="Process asynchronously")


class SummarizeResponse(BaseModel):
    """Response model for summarization endpoint."""
    summary_id: Optional[str] = None  # For async processing
    summary: Optional[str] = None     # For sync processing
    key_points: Optional[List[str]] = None
    main_themes: Optional[List[str]] = None
    actionable_insights: Optional[List[str]] = None
    confidence_score: Optional[float] = None
    processing_metadata: Optional[dict] = None
    cost_data: Optional[dict] = None
    status: str = "completed"  # "processing", "completed", "failed"


async def get_ai_service() -> DeepSeekSummarizer:
    """Dependency to get AI service instance."""
    api_key = os.getenv("DEEPSEEK_API_KEY")
    if not api_key:
        raise HTTPException(
            status_code=500,
            detail="DeepSeek API key not configured"
        )
    
    # Create and initialize service using BaseAIService pattern
    service = DeepSeekSummarizer(api_key=api_key)
    if not service.is_initialized:
        await service.initialize()
    
    return service


@router.post("/summarize", response_model=SummarizeResponse)
async def summarize_transcript(
    request: SummarizeRequest,
    background_tasks: BackgroundTasks,
    ai_service: DeepSeekSummarizer = Depends(get_ai_service)
):
    """Generate AI summary from transcript."""
    
    # Validate transcript length
    if len(request.transcript.strip()) < 50:
        raise HTTPException(
            status_code=400,
            detail="Transcript too short for meaningful summarization"
        )
    
    if len(request.transcript) > 100000:  # ~100k characters
        request.async_processing = True  # Force async for very long transcripts
    
    try:
        # Estimate cost before processing
        estimated_cost = ai_service.estimate_cost(request.transcript, request.length)
        
        if estimated_cost > 1.00:  # Cost limit check
            raise CostLimitExceededError(estimated_cost, 1.00)
        
        summary_request = SummaryRequest(
            transcript=request.transcript,
            length=request.length,
            focus_areas=request.focus_areas,
            language=request.language
        )
        
        if request.async_processing:
            # Process asynchronously
            summary_id = str(uuid.uuid4())
            
            background_tasks.add_task(
                process_summary_async,
                summary_id=summary_id,
                request=summary_request,
                ai_service=ai_service
            )
            
            # Store initial status
            job_results[summary_id] = {
                "status": "processing",
                "summary_id": summary_id
            }
            
            return SummarizeResponse(
                summary_id=summary_id,
                status="processing"
            )
        else:
            # Process synchronously
            result = await ai_service.generate_summary(summary_request)
            
            return SummarizeResponse(
                summary=result.summary,
                key_points=result.key_points,
                main_themes=result.main_themes,
                actionable_insights=result.actionable_insights,
                confidence_score=result.confidence_score,
                processing_metadata=result.processing_metadata,
                cost_data=result.cost_data,
                status="completed"
            )
            
    except CostLimitExceededError as e:
        raise HTTPException(
            status_code=e.status_code,
            detail={
                "error": "Cost limit exceeded",
                "message": e.message,
                "details": e.details
            }
        )
    except AIServiceError as e:
        raise HTTPException(
            status_code=500,
            detail={
                "error": "AI service error",
                "message": e.message,
                "code": e.error_code,
                "details": e.details
            }
        )
    except Exception as e:
        raise HTTPException(
            status_code=500,
            detail={
                "error": "Internal server error",
                "message": str(e)
            }
        )


async def process_summary_async(
    summary_id: str,
    request: SummaryRequest,
    ai_service: DeepSeekSummarizer
):
    """Background task for async summary processing."""
    try:
        result = await ai_service.generate_summary(request)
        
        # Store result in memory (replace with proper storage)
        job_results[summary_id] = {
            "status": "completed",
            "summary": result.summary,
            "key_points": result.key_points,
            "main_themes": result.main_themes,
            "actionable_insights": result.actionable_insights,
            "confidence_score": result.confidence_score,
            "processing_metadata": result.processing_metadata,
            "cost_data": result.cost_data
        }
        
    except Exception as e:
        job_results[summary_id] = {
            "status": "failed",
            "error": str(e)
        }


@router.get("/summaries/{summary_id}", response_model=SummarizeResponse)
async def get_summary(summary_id: str):
    """Get async summary result by ID."""
    
    # Retrieve from memory (replace with proper storage)
    result = job_results.get(summary_id)
    
    if not result:
        raise HTTPException(status_code=404, detail="Summary not found")
    
    return SummarizeResponse(**result)