from ..components.extractPdfDetails import ExtractPdfDetails
from ..components.summaryEngine import SummaryEngine
from concurrent.futures import ThreadPoolExecutor
from ..utils.logger import logger

class Pipeline:
    def __init__(self):
        logger.info("INITIALIZING PIPELINE")
        self.extractPdfDetails = ExtractPdfDetails()
        self.summaryEngine = SummaryEngine()

    def run(self, pdfBytesList: list[bytes]) -> str:
        """
        Run the pipeline on multiple PDF files
        Args:
            pdfBytesList: list of bytes of multiple pdf files
        Returns:
            summary: combined summary of all pdf files
        """
        try:
            logger.info("Running the pipeline for multiple PDFs")
            allImages = []            
            for pdfBytes in pdfBytesList:
                images = self.extractPdfDetails.convertToImages(pdfBytes=pdfBytes)
                allImages.extend(images)
            chunks = self.extractPdfDetails.chunkImages(images=allImages)
            with ThreadPoolExecutor(max_workers=30) as executor:
                futures = [executor.submit(self.extractPdfDetails.extractDetailsFromChunk, chunk) for chunk in chunks]
                summaries = [future.result() for future in futures]
            summary = self.summaryEngine.summarize(texts=summaries)
            return summary
        except Exception as e:
            logger.exception(f"Error running the pipeline: {e}")
            return None