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feat: Implement core application structure, AI extraction, persistence, and Telegram bot modules with updated configuration and dependencies.
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31
app/ingestion/document.py
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31
app/ingestion/document.py
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"""
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Handles processing of document inputs (e.g., PDFs, Word docs).
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"""
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import logging
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logger = logging.getLogger(__name__)
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def process_document_input(doc_data: bytes) -> str:
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"""
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Placeholder for document input processing.
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This will eventually involve text extraction from files like PDFs.
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Args:
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doc_data: The raw bytes of the document file.
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Returns:
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The extracted text, or an empty string if failed.
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"""
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logger.info("Processing document input (stub).")
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# In a real implementation, you would use a library like PyMuPDF for PDFs.
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# For example:
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# try:
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# import fitz # PyMuPDF
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# with fitz.open(stream=doc_data, filetype="pdf") as doc:
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# text = "".join(page.get_text() for page in doc)
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# return text
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# except Exception as e:
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# logger.error(f"PDF processing failed: {e}")
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# return ""
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return "Sample text extracted from PDF document."
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