Phase 7: Hoàn thiện Modular RAG Backend với FastAPI và Đa LLM Provider
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extraction/dce.py
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99
extraction/dce.py
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import os
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import httpx
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import logging
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from core.models import IngestedDocument, DocumentClassificationResult, DocumentType, ProcessingPolicy, PdfType
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from extraction.magic_numbers import MagicNumberValidator
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from extraction.pdf_inspector import PDFInspector
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logger = logging.getLogger("DCE")
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class DocumentClassificationEngine:
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"""
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Document Classification Engine (DCE).
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"""
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def __init__(self):
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self.pdf_inspector = PDFInspector()
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def classify(self, document: IngestedDocument) -> DocumentClassificationResult:
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logger.info(f"Classifying document: {document.name} (ID: {document.item_id})")
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ext = os.path.splitext(document.name)[1].lower()
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doc_type = DocumentType.UNKNOWN
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policy = ProcessingPolicy.UNSUPPORTED
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reason = "Initial state"
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# 1. Magic Number Validation
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if document.download_url:
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header_bytes = MagicNumberValidator.fetch_header_bytes(document.download_url)
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is_valid, detected_type, sig_desc = MagicNumberValidator.validate_from_bytes(header_bytes)
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if is_valid:
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logger.info(f"Magic Number match: {sig_desc}")
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else:
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logger.warning(f"Could not verify magic number for {document.name}. Trusting extension fallback.")
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# 2. Routing Rules
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if ext == ".pdf":
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pdf_type = PdfType.SCAN_PDF # Simulated default
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if document.download_url:
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logger.info("Downloading PDF into memory for PyMuPDF inspection...")
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try:
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with httpx.Client() as client:
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resp = client.get(document.download_url)
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resp.raise_for_status()
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pdf_bytes = resp.content
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pdf_type = self.pdf_inspector.inspect_pdf_from_bytes(pdf_bytes)
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except Exception as e:
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logger.error(f"Failed to download/inspect PDF: {e}")
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pdf_type = PdfType.SCAN_PDF
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else:
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logger.warning("No download_url available for PDF. Defaulting to SCAN_PDF.")
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if pdf_type == PdfType.TEXT_PDF:
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doc_type = DocumentType.TEXTUAL_DOCUMENT
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policy = ProcessingPolicy.SKIP_OCR
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reason = "PDF has text layer (TEXT_PDF)"
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elif pdf_type == PdfType.DRAWING_PDF:
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doc_type = DocumentType.DRAWING
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policy = ProcessingPolicy.METADATA_ONLY
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reason = "PDF has large vector dimensions (DRAWING_PDF)"
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elif pdf_type == PdfType.AMBIGUOUS_PDF:
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doc_type = DocumentType.UNKNOWN
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policy = ProcessingPolicy.REQUIRES_REVIEW
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reason = "Kích thước PDF lớn bất thường (khổ A3/A2 hoặc DPI cao), cần con người xác nhận là bản Scan hay Bản vẽ"
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else:
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doc_type = DocumentType.TEXTUAL_DOCUMENT
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policy = ProcessingPolicy.REQUIRES_OCR
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reason = "PDF has no text layer (SCAN_PDF)"
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elif ext in [".docx", ".doc", ".txt", ".md"]:
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doc_type = DocumentType.TEXTUAL_DOCUMENT
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policy = ProcessingPolicy.SKIP_OCR
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reason = "Standard textual document format"
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elif ext in [".xlsx", ".xls", ".csv"]:
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doc_type = DocumentType.SPREADSHEET
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policy = ProcessingPolicy.SKIP_OCR
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reason = "Spreadsheet document format"
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elif ext in [".dwg", ".dxf", ".cad"]:
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doc_type = DocumentType.DRAWING
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policy = ProcessingPolicy.METADATA_ONLY
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reason = "Native CAD drawing format"
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else:
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doc_type = DocumentType.BINARY
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policy = ProcessingPolicy.UNSUPPORTED
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reason = f"Unsupported or binary extension: {ext}"
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result = DocumentClassificationResult(
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item_id=document.item_id,
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doc_type=doc_type,
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processing_policy=policy,
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file_extension=ext,
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is_supported=policy != ProcessingPolicy.UNSUPPORTED,
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reason=reason
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)
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logger.info(f"Result -> Type: {doc_type.value}, Policy: {policy.value}, Reason: {reason}")
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return result
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