"""
Tool_OCR - OCR Schemas
"""

from datetime import datetime
from typing import Optional, Dict, List, Any
from pydantic import BaseModel, Field

from app.models.ocr import BatchStatus, FileStatus


class OCRFileResponse(BaseModel):
    """OCR file response schema"""
    id: int
    batch_id: int
    filename: str
    original_filename: str
    file_size: int
    file_format: str
    status: FileStatus
    error: Optional[str] = Field(None, validation_alias='error_message')  # Map from error_message to error
    created_at: datetime
    processing_time: Optional[float] = None

    class Config:
        from_attributes = True
        populate_by_name = True


class OCRResultResponse(BaseModel):
    """OCR result response schema"""
    id: int
    file_id: int
    markdown_path: Optional[str] = None
    markdown_content: Optional[str] = None  # Added for frontend preview
    json_path: Optional[str] = None
    images_dir: Optional[str] = None
    detected_language: Optional[str] = None
    total_text_regions: int
    average_confidence: Optional[float] = None
    layout_data: Optional[Dict[str, Any]] = None
    images_metadata: Optional[List[Dict[str, Any]]] = None
    created_at: datetime

    class Config:
        from_attributes = True


class OCRBatchResponse(BaseModel):
    """OCR batch response schema"""
    id: int
    user_id: int
    batch_name: Optional[str] = None
    status: BatchStatus
    total_files: int
    completed_files: int
    failed_files: int
    progress_percentage: float
    created_at: datetime
    started_at: Optional[datetime] = None
    completed_at: Optional[datetime] = None

    class Config:
        from_attributes = True


class BatchStatusResponse(BaseModel):
    """Batch status with file details"""
    batch: OCRBatchResponse
    files: List[OCRFileResponse]


class FileStatusResponse(BaseModel):
    """File status with result details"""
    file: OCRFileResponse
    result: Optional[OCRResultResponse] = None


class OCRResultDetailResponse(BaseModel):
    """OCR result detail response for frontend preview - flattened structure"""
    file_id: int
    filename: str
    status: str
    markdown_content: Optional[str] = None
    json_data: Optional[Dict[str, Any]] = None
    confidence: Optional[float] = None
    processing_time: Optional[float] = None

    class Config:
        from_attributes = True


class UploadBatchResponse(BaseModel):
    """Upload response schema matching frontend expectations"""
    batch_id: int = Field(..., description="Batch ID")
    files: List[OCRFileResponse] = Field(..., description="Uploaded files")

    class Config:
        json_schema_extra = {
            "example": {
                "batch_id": 1,
                "files": [
                    {
                        "id": 1,
                        "batch_id": 1,
                        "filename": "doc_1.png",
                        "original_filename": "document.png",
                        "file_size": 1024000,
                        "file_format": "png",
                        "status": "pending",
                        "error_message": None,
                        "created_at": "2025-01-01T00:00:00",
                        "processing_time": None
                    }
                ]
            }
        }


class ProcessRequest(BaseModel):
    """OCR process request schema"""
    batch_id: int = Field(..., description="Batch ID to process")
    lang: str = Field(default="ch", description="Language code (ch, en, japan, korean)")
    detect_layout: bool = Field(default=True, description="Enable layout detection")

    class Config:
        json_schema_extra = {
            "example": {
                "batch_id": 1,
                "lang": "ch",
                "detect_layout": True
            }
        }


class ProcessResponse(BaseModel):
    """OCR process response schema"""
    message: str
    batch_id: int
    total_files: int
    status: str

    class Config:
        json_schema_extra = {
            "example": {
                "message": "OCR processing started",
                "batch_id": 1,
                "total_files": 5,
                "status": "processing"
            }
        }