"""
Batch Processor - Processamento em batch via Groq Batch API
Baseado no batch_client fornecido pelo usuário
"""
import json
import time
import logging
import asyncio
import requests
from pathlib import Path
from typing import List, Dict, Any, Optional
from datetime import datetime

logger = logging.getLogger(__name__)


class BatchRequest:
    """Representa uma requisição no batch"""

    def __init__(
        self,
        custom_id: str,
        specialist_id: int,
        system_prompt: str,
        user_prompt: str,
        model: str,
        temperature: float,
        max_tokens: int
    ):
        self.custom_id = custom_id
        self.specialist_id = specialist_id
        self.system_prompt = system_prompt
        self.user_prompt = user_prompt
        self.model = model
        self.temperature = temperature
        self.max_tokens = max_tokens

    def to_jsonl_line(self) -> str:
        """Converte para linha JSONL do formato Groq Batch API"""
        batch_line = {
            "custom_id": self.custom_id,
            "method": "POST",
            "url": "/v1/chat/completions",
            "body": {
                "model": self.model,
                "messages": [
                    {"role": "system", "content": self.system_prompt},
                    {"role": "user", "content": self.user_prompt}
                ],
                "temperature": self.temperature,
                "max_tokens": self.max_tokens,
                "response_format": {"type": "json_object"}
            }
        }
        return json.dumps(batch_line, ensure_ascii=False)


class BatchProcessor:
    """Processador de requisições em batch via Groq API"""

    def __init__(
        self,
        api_key: str,
        work_dir: Path,
        completion_window: str = "24h"
    ):
        """
        Args:
            api_key: Groq API key
            work_dir: Diretório de trabalho para arquivos temporários
            completion_window: Janela de conclusão (24h padrão)
        """
        self.api_key = api_key
        self.work_dir = Path(work_dir)
        self.completion_window = completion_window
        self.base_url = "https://api.groq.com/openai/v1"
        self.headers = {
            "Authorization": f"Bearer {api_key}",
            "Content-Type": "application/json"
        }

        # Criar diretórios
        self.batches_dir = self.work_dir / "batches"
        self.batches_dir.mkdir(parents=True, exist_ok=True)

    def create_batch_file(
        self,
        requests: List[BatchRequest],
        batch_id: str
    ) -> Optional[Path]:
        """
        Cria arquivo JSONL para batch

        Args:
            requests: Lista de requisições
            batch_id: ID do batch

        Returns:
            Path do arquivo criado ou None
        """
        try:
            batch_file = self.batches_dir / f"batch_input_{batch_id}.jsonl"

            logger.info(f"📝 Criando batch file: {batch_file.name}")

            with open(batch_file, 'w', encoding='utf-8') as f:
                for req in requests:
                    f.write(req.to_jsonl_line() + '\n')

            logger.info(f"✅ Batch file criado: {len(requests)} requisições")
            return batch_file

        except Exception as e:
            logger.error(f"❌ Erro ao criar batch file: {e}", exc_info=True)
            return None

    def upload_batch_file(self, file_path: Path) -> Optional[str]:
        """
        Upload do arquivo JSONL para Groq Files API

        Returns:
            file_id ou None
        """
        logger.info(f"📤 Uploading batch file: {file_path.name}")

        try:
            with open(file_path, 'rb') as f:
                files = {'file': (file_path.name, f, 'application/jsonl')}
                data = {'purpose': 'batch'}

                response = requests.post(
                    f"{self.base_url}/files",
                    headers={"Authorization": f"Bearer {self.api_key}"},
                    files=files,
                    data=data,
                    timeout=120
                )

                response.raise_for_status()
                result = response.json()

                file_id = result['id']
                logger.info(f"✅ File uploaded: {file_id}")
                return file_id

        except Exception as e:
            logger.error(f"❌ Erro no upload: {e}", exc_info=True)
            return None

    def create_batch_job(self, input_file_id: str) -> Optional[str]:
        """
        Cria batch job

        Returns:
            batch_id ou None
        """
        logger.info(f"🚀 Criando batch job (window: {self.completion_window})")

        try:
            payload = {
                "input_file_id": input_file_id,
                "endpoint": "/v1/chat/completions",
                "completion_window": self.completion_window
            }

            response = requests.post(
                f"{self.base_url}/batches",
                headers=self.headers,
                json=payload,
                timeout=30
            )

            response.raise_for_status()
            result = response.json()

            batch_id = result['id']
            logger.info(f"✅ Batch job criado: {batch_id}")
            return batch_id

        except Exception as e:
            logger.error(f"❌ Erro ao criar batch: {e}", exc_info=True)
            return None

    def check_batch_status(self, batch_id: str) -> Optional[Dict]:
        """Checa status do batch"""
        try:
            response = requests.get(
                f"{self.base_url}/batches/{batch_id}",
                headers=self.headers,
                timeout=30
            )

            response.raise_for_status()
            return response.json()

        except Exception as e:
            logger.error(f"❌ Erro ao checar status: {e}", exc_info=True)
            return None

    async def wait_for_completion(
        self,
        batch_id: str,
        poll_interval: int = 30,
        max_wait_time: int = 86400  # 24h
    ) -> Optional[Dict]:
        """
        Aguarda conclusão do batch com polling

        Args:
            batch_id: ID do batch
            poll_interval: Intervalo entre polls (segundos)
            max_wait_time: Tempo máximo de espera (segundos)

        Returns:
            Info do batch completo ou None
        """
        logger.info(f"⏳ Aguardando conclusão do batch {batch_id}...")

        status_map = {
            "validating": "🔍 Validando",
            "in_progress": "⚙️ Processando",
            "finalizing": "🏁 Finalizando",
            "completed": "✅ Completo",
            "failed": "❌ Falhou",
            "expired": "⏰ Expirado",
            "cancelled": "🚫 Cancelado"
        }

        start_time = time.time()
        last_status = None

        while True:
            # Verificar timeout
            elapsed = time.time() - start_time
            if elapsed > max_wait_time:
                logger.error(f"⏰ Timeout: batch excedeu {max_wait_time}s")
                return None

            # Checar status
            batch_info = self.check_batch_status(batch_id)

            if not batch_info:
                logger.warning("⚠️ Erro ao checar status, tentando novamente...")
                await asyncio.sleep(poll_interval)
                continue

            status = batch_info['status']
            request_counts = batch_info.get('request_counts', {})

            # Log mudança de status
            if status != last_status:
                emoji = status_map.get(status, "❓")
                logger.info(f"{emoji} Status: {status}")
                last_status = status

            # Log progresso
            total = request_counts.get('total', 0)
            completed = request_counts.get('completed', 0)
            failed = request_counts.get('failed', 0)

            if total > 0:
                progress = (completed + failed) / total * 100
                logger.info(
                    f"📊 Progresso: {completed}/{total} OK, {failed} erros "
                    f"({progress:.1f}%) - {elapsed:.0f}s"
                )

            # Estados finais
            if status == "completed":
                logger.info(f"✅ Batch completo! {completed} sucessos, {failed} falhas")
                return batch_info

            elif status in ["failed", "expired", "cancelled"]:
                logger.error(f"❌ Batch terminou com status: {status}")
                return batch_info

            # Aguarda próximo poll
            await asyncio.sleep(poll_interval)

    def download_results(
        self,
        output_file_id: str,
        batch_id: str
    ) -> Optional[Path]:
        """
        Baixa arquivo de resultados

        Returns:
            Path do arquivo ou None
        """
        logger.info(f"⬇️ Baixando resultados: {output_file_id}")

        try:
            response = requests.get(
                f"{self.base_url}/files/{output_file_id}/content",
                headers=self.headers,
                timeout=120
            )

            response.raise_for_status()

            output_file = self.batches_dir / f"batch_output_{batch_id}.jsonl"
            output_file.write_bytes(response.content)

            logger.info(f"✅ Resultados salvos: {output_file}")
            return output_file

        except Exception as e:
            logger.error(f"❌ Erro ao baixar resultados: {e}", exc_info=True)
            return None

    def parse_results(self, output_file: Path) -> Dict[str, Dict[str, Any]]:
        """
        Parseia arquivo JSONL de resultados

        Returns:
            Dict mapeando custom_id -> resultado
        """
        results = {}

        try:
            with open(output_file, 'r', encoding='utf-8') as f:
                for line in f:
                    line = line.strip()
                    if not line:
                        continue

                    try:
                        item = json.loads(line)
                        custom_id = item.get('custom_id')
                        response = item.get('response', {})

                        if response.get('status_code') == 200:
                            body = response.get('body', {})
                            content = body.get('choices', [{}])[0].get('message', {}).get('content', '{}')
                            tokens = body.get('usage', {}).get('total_tokens', 0)

                            try:
                                parsed_content = json.loads(content)
                            except json.JSONDecodeError:
                                parsed_content = {"raw_content": content}

                            results[custom_id] = {
                                'status': 'success',
                                'result': parsed_content,
                                'tokens': tokens
                            }
                        else:
                            error_msg = response.get('body', {}).get('error', {}).get('message', 'Unknown error')
                            results[custom_id] = {
                                'status': 'error',
                                'error': error_msg,
                                'tokens': 0
                            }

                    except json.JSONDecodeError as e:
                        logger.warning(f"⚠️ Erro ao parsear linha: {e}")
                        continue

            logger.info(f"✅ Parseados {len(results)} resultados")
            return results

        except Exception as e:
            logger.error(f"❌ Erro ao parsear resultados: {e}", exc_info=True)
            return {}

    async def process_batch(
        self,
        requests: List[BatchRequest],
        batch_id: str,
        poll_interval: int = 30
    ) -> Optional[Dict[str, Dict[str, Any]]]:
        """
        Fluxo completo de batch processing

        Args:
            requests: Lista de requisições
            batch_id: ID do batch
            poll_interval: Intervalo de polling

        Returns:
            Dict com resultados mapeados por custom_id
        """
        logger.info(f"\n{'='*80}")
        logger.info(f"🔄 BATCH PROCESSING - {batch_id}")
        logger.info(f"   {len(requests)} requisições")
        logger.info(f"{'='*80}")

        # 1. Criar arquivo JSONL
        batch_file = self.create_batch_file(requests, batch_id)
        if not batch_file:
            return None

        # 2. Upload
        file_id = self.upload_batch_file(batch_file)
        if not file_id:
            return None

        # 3. Criar batch job
        groq_batch_id = self.create_batch_job(file_id)
        if not groq_batch_id:
            return None

        # 4. Aguardar conclusão
        batch_result = await self.wait_for_completion(groq_batch_id, poll_interval)
        if not batch_result:
            return None

        # 5. Baixar e parsear resultados
        if batch_result['status'] == 'completed':
            output_file_id = batch_result.get('output_file_id')

            if output_file_id:
                output_file = self.download_results(output_file_id, batch_id)

                if output_file:
                    results = self.parse_results(output_file)
                    return results

        return None