"""
Data Export REST API endpoint for VitalGraph.

This module provides REST API endpoints for managing data export jobs using JSON format.
Handles export job lifecycle and file downloads for export results.
"""

from typing import Dict, List, Optional, Any
from fastapi import APIRouter, Query, Depends, Path
from fastapi.responses import StreamingResponse
from pydantic import BaseModel, Field
from datetime import datetime
from enum import Enum
import io
import json

from ..model.export_model import (
    ExportStatus,
    ExportFormat,
    ExportJob,
    ExportJobsResponse,
    ExportJobResponse,
    ExportCreateResponse,
    ExportUpdateResponse,
    ExportDeleteResponse,
    ExportExecuteResponse,
    ExportStatusResponse
)


class ExportEndpoint:
    """Data Export endpoint handler."""
    
    def __init__(self, space_manager, auth_dependency):
        self.space_manager = space_manager
        self.auth_dependency = auth_dependency
        self.router = APIRouter()
        self._setup_routes()
    
    def _setup_routes(self):
        """Setup FastAPI routes for data export management."""
        
        @self.router.post("/export", response_model=ExportCreateResponse)
        async def create_export_job(
            request: ExportJob,
            current_user: Dict = Depends(self.auth_dependency)
        ):
            """Create new data export job."""
            return await self._create_export_job(request, current_user)
        
        @self.router.get("/export", response_model=ExportJobsResponse)
        async def list_export_jobs(
            space_id: Optional[str] = Query(None, description="Filter by space ID"),
            graph_id: Optional[str] = Query(None, description="Filter by graph ID"),
            page_size: int = Query(100, ge=1, le=1000, description="Number of jobs per page"),
            offset: int = Query(0, ge=0, description="Offset for pagination"),
            current_user: Dict = Depends(self.auth_dependency)
        ):
            """List all export jobs with optional filtering."""
            return await self._list_export_jobs(space_id, graph_id, page_size, offset, current_user)
        
        @self.router.get("/export/{export_id}", response_model=ExportJobResponse)
        async def get_export_job(
            export_id: str = Path(..., description="Export job ID"),
            current_user: Dict = Depends(self.auth_dependency)
        ):
            """Get export job details by ID."""
            return await self._get_export_job(export_id, current_user)
        
        @self.router.put("/export/{export_id}", response_model=ExportUpdateResponse)
        async def update_export_job(
            request: ExportJob,
            export_id: str = Path(..., description="Export job ID"),
            current_user: Dict = Depends(self.auth_dependency)
        ):
            """Update export job."""
            return await self._update_export_job(export_id, request, current_user)
        
        @self.router.delete("/export/{export_id}", response_model=ExportDeleteResponse)
        async def delete_export_job(
            export_id: str = Path(..., description="Export job ID"),
            current_user: Dict = Depends(self.auth_dependency)
        ):
            """Delete export job."""
            return await self._delete_export_job(export_id, current_user)
        
        @self.router.post("/export/{export_id}/execute", response_model=ExportExecuteResponse)
        async def execute_export_job(
            export_id: str = Path(..., description="Export job ID"),
            current_user: Dict = Depends(self.auth_dependency)
        ):
            """Execute export job."""
            return await self._execute_export_job(export_id, current_user)
        
        @self.router.get("/export/{export_id}/status", response_model=ExportStatusResponse)
        async def get_export_status(
            export_id: str = Path(..., description="Export job ID"),
            current_user: Dict = Depends(self.auth_dependency)
        ):
            """Get export execution status."""
            return await self._get_export_status(export_id, current_user)
        
        @self.router.get("/export/{export_id}/download")
        async def download_export_results(
            export_id: str = Path(..., description="Export job ID"),
            binary_id: str = Query(..., description="Binary file ID to download"),
            current_user: Dict = Depends(self.auth_dependency)
        ):
            """Download export results by binary ID."""
            return await self._download_export_results(export_id, binary_id, current_user)
    
    async def _create_export_job(self, request: ExportJob, current_user: Dict) -> ExportCreateResponse:
        """Create new export job."""
        # NO-OP implementation - simulate export job creation
        import uuid
        
        export_id = str(uuid.uuid4())
        now = datetime.utcnow()
        
        export_job = ExportJob(
            export_id=export_id,
            name=request.name,
            description=request.description,
            export_format=request.export_format,
            space_id=request.space_id,
            graph_id=request.graph_id,
            status=ExportStatus.CREATED,
            created_date=now,
            updated_date=now,
            progress_percent=0.0,
            records_processed=0,
            config=request.config or {},
            output_files=[],
            query_filter=request.query_filter
        )
        
        return ExportCreateResponse(
            message="Successfully created export job",
            export_id=export_id,
            export_job=export_job
        )
    
    async def _list_export_jobs(self, space_id: Optional[str], graph_id: Optional[str], page_size: int, offset: int, current_user: Dict) -> ExportJobsResponse:
        """List export jobs with filtering."""
        # NO-OP implementation - return sample export jobs
        sample_jobs = [
            ExportJob(
                export_id="export_001",
                name="RDF Data Export",
                description="Export graph data to RDF turtle format",
                export_format=ExportFormat.RDF_TURTLE,
                space_id="space_001",
                graph_id="graph_001",
                status=ExportStatus.COMPLETED,
                created_date=datetime(2024, 1, 15, 10, 30, 0),
                updated_date=datetime(2024, 1, 15, 11, 0, 0),
                started_date=datetime(2024, 1, 15, 10, 35, 0),
                completed_date=datetime(2024, 1, 15, 11, 0, 0),
                progress_percent=100.0,
                records_processed=1500,
                records_total=1500,
                output_files=[
                    {"binary_id": "bin_001", "filename": "export_data.ttl", "size": 2048576, "mime_type": "text/turtle"}
                ]
            ),
            ExportJob(
                export_id="export_002",
                name="CSV Entity Export",
                description="Export entity data to CSV format",
                export_format=ExportFormat.CSV,
                space_id="space_001",
                graph_id="graph_002",
                status=ExportStatus.RUNNING,
                created_date=datetime(2024, 1, 16, 9, 0, 0),
                updated_date=datetime(2024, 1, 16, 9, 30, 0),
                started_date=datetime(2024, 1, 16, 9, 15, 0),
                progress_percent=65.0,
                records_processed=650,
                records_total=1000,
                output_files=[]
            ),
            ExportJob(
                export_id="export_003",
                name="JSON-LD Export",
                description="Export structured data in JSON-LD format",
                export_format=ExportFormat.JSON_LD,
                space_id="space_002",
                status=ExportStatus.CREATED,
                created_date=datetime(2024, 1, 17, 14, 0, 0),
                updated_date=datetime(2024, 1, 17, 14, 0, 0),
                progress_percent=0.0,
                records_processed=0,
                output_files=[]
            )
        ]
        
        # Filter by space_id if provided
        if space_id:
            sample_jobs = [job for job in sample_jobs if job.space_id == space_id]
        
        # Filter by graph_id if provided
        if graph_id:
            sample_jobs = [job for job in sample_jobs if job.graph_id == graph_id]
        
        return ExportJobsResponse(
            export_jobs=sample_jobs,
            total_count=len(sample_jobs),
            page_size=page_size,
            offset=offset
        )
    
    async def _get_export_job(self, export_id: str, current_user: Dict) -> ExportJobResponse:
        """Get export job by ID."""
        # NO-OP implementation - return sample export job
        export_job = ExportJob(
            export_id=export_id,
            name="Sample Export Job",
            description="Sample export job for demonstration",
            export_format=ExportFormat.RDF_TURTLE,
            space_id="space_001",
            graph_id="graph_001",
            status=ExportStatus.COMPLETED,
            created_date=datetime(2024, 1, 15, 10, 30, 0),
            updated_date=datetime(2024, 1, 15, 11, 0, 0),
            started_date=datetime(2024, 1, 15, 10, 35, 0),
            completed_date=datetime(2024, 1, 15, 11, 0, 0),
            progress_percent=100.0,
            records_processed=1500,
            records_total=1500,
            config={"include_metadata": True, "compression": "gzip"},
            output_files=[
                {"binary_id": "bin_001", "filename": "export_data.ttl", "size": 2048576, "mime_type": "text/turtle"}
            ],
            query_filter="SELECT * WHERE { ?s ?p ?o . FILTER(?s = <http://example.org/entity>) }"
        )
        
        return ExportJobResponse(export_job=export_job)
    
    async def _update_export_job(self, export_id: str, request: ExportJob, current_user: Dict) -> ExportUpdateResponse:
        """Update export job."""
        # NO-OP implementation - simulate export job update
        updated_job = ExportJob(
            export_id=export_id,
            name=request.name,
            description=request.description,
            export_format=request.export_format,
            space_id=request.space_id,
            graph_id=request.graph_id,
            status=request.status or ExportStatus.CREATED,
            created_date=datetime(2024, 1, 15, 10, 30, 0),
            updated_date=datetime.utcnow(),
            progress_percent=request.progress_percent or 0.0,
            records_processed=request.records_processed or 0,
            records_total=request.records_total,
            config=request.config,
            output_files=request.output_files or [],
            query_filter=request.query_filter
        )
        
        return ExportUpdateResponse(
            message="Successfully updated export job",
            export_job=updated_job
        )
    
    async def _delete_export_job(self, export_id: str, current_user: Dict) -> ExportDeleteResponse:
        """Delete export job."""
        # NO-OP implementation - simulate export job deletion
        return ExportDeleteResponse(
            message="Successfully deleted export job",
            export_id=export_id
        )
    
    async def _execute_export_job(self, export_id: str, current_user: Dict) -> ExportExecuteResponse:
        """Execute export job."""
        # NO-OP implementation - simulate export job execution
        return ExportExecuteResponse(
            message="Successfully started export job execution",
            export_id=export_id,
            execution_started=True
        )
    
    async def _get_export_status(self, export_id: str, current_user: Dict) -> ExportStatusResponse:
        """Get export execution status."""
        # NO-OP implementation - return sample status
        return ExportStatusResponse(
            export_id=export_id,
            status=ExportStatus.RUNNING,
            progress_percent=75.0,
            records_processed=750,
            records_total=1000,
            started_date=datetime(2024, 1, 16, 9, 15, 0),
            completed_date=None,
            error_message=None,
            output_files=[]
        )
    
    async def _download_export_results(self, export_id: str, binary_id: str, current_user: Dict) -> StreamingResponse:
        """Download export results by binary ID."""
        # NO-OP implementation - return sample export file content
        
        # In real implementation, would:
        # 1. Validate that export job exists and is completed
        # 2. Check user permissions
        # 3. Validate binary_id exists for this export
        # 4. Retrieve file content from storage
        # 5. Stream file content back to client
        
        # Generate sample content based on binary_id
        if binary_id == "bin_001":
            # Sample RDF Turtle content
            sample_content = """@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix haley: <http://vital.ai/ontology/haley-ai-kg#> .

haley:entity_001 rdf:type haley:KGEntity ;
    rdfs:label "Sample Entity" ;
    haley:hasConfidence 0.95 ;
    haley:createdDate "2024-01-15T10:30:00Z"^^<http://www.w3.org/2001/XMLSchema#dateTime> .

haley:entity_002 rdf:type haley:KGEntity ;
    rdfs:label "Another Entity" ;
    haley:hasConfidence 0.87 ;
    haley:createdDate "2024-01-16T14:20:00Z"^^<http://www.w3.org/2001/XMLSchema#dateTime> .
"""
            content_bytes = sample_content.encode('utf-8')
            media_type = "text/turtle"
            filename = "export_data.ttl"
        
        elif binary_id.startswith("csv_"):
            # Sample CSV content
            sample_content = """id,name,type,confidence,created_date
entity_001,Sample Entity,KGEntity,0.95,2024-01-15T10:30:00Z
entity_002,Another Entity,KGEntity,0.87,2024-01-16T14:20:00Z
entity_003,Third Entity,KGEntity,0.92,2024-01-17T09:15:00Z
"""
            content_bytes = sample_content.encode('utf-8')
            media_type = "text/csv"
            filename = "export_data.csv"
        
        else:
            # Sample JSON content
            sample_data = {
                "export_metadata": {
                    "export_id": export_id,
                    "binary_id": binary_id,
                    "generated_at": "2024-01-16T10:30:00Z",
                    "record_count": 3
                },
                "data": [
                    {
                        "id": "entity_001",
                        "name": "Sample Entity",
                        "type": "KGEntity",
                        "confidence": 0.95,
                        "created_date": "2024-01-15T10:30:00Z"
                    },
                    {
                        "id": "entity_002",
                        "name": "Another Entity",
                        "type": "KGEntity",
                        "confidence": 0.87,
                        "created_date": "2024-01-16T14:20:00Z"
                    }
                ]
            }
            content_bytes = json.dumps(sample_data, indent=2).encode('utf-8')
            media_type = "application/json"
            filename = "export_data.json"
        
        return StreamingResponse(
            io.BytesIO(content_bytes),
            media_type=media_type,
            headers={
                "Content-Disposition": f"attachment; filename={filename}",
                "Content-Length": str(len(content_bytes))
            }
        )


def create_export_router(space_manager, auth_dependency) -> APIRouter:
    """Create and return the data export router."""
    endpoint = ExportEndpoint(space_manager, auth_dependency)
    return endpoint.router
