feat: Implement core application structure, AI extraction, persistence, and Telegram bot modules with updated configuration and dependencies.

This commit is contained in:
Marco Gallegos
2025-12-18 12:15:04 -06:00
parent 7276e480b0
commit 899482580e
45 changed files with 1157 additions and 225 deletions

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