🔍 Code Extractor

function detect_session_from_file

Maturity: 52

Detects session information from a file by analyzing its content (for PDFs) or filename, returning structured session metadata if found.

File:
/tf/active/vicechatdev/e-ink-llm/session_detector.py
Lines:
245 - 262
Complexity:
simple

Purpose

This convenience function provides a unified interface for extracting session information from various file types. It automatically routes PDF files to content-based detection while using filename-based detection for other file types. The function is designed to identify session-related metadata such as session numbers, dates, or identifiers from legislative, conference, or meeting documents.

Source Code

def detect_session_from_file(file_path: str) -> Optional[SessionInfo]:
    """
    Convenience function to detect session information from any file
    
    Args:
        file_path: Path to the file to analyze
        
    Returns:
        SessionInfo if detected, None otherwise
    """
    detector = SessionDetector()
    
    path = Path(file_path)
    if path.suffix.lower() == '.pdf':
        return detector.detect_session_from_pdf(file_path)
    
    # For non-PDF files, try filename detection only
    return detector._detect_from_filename(path)

Parameters

Name Type Default Kind
file_path str - positional_or_keyword

Parameter Details

file_path: String representing the path to the file to analyze. Can be an absolute or relative path. The file extension determines the detection strategy: PDF files undergo content analysis, while other file types are analyzed by filename only. Must be a valid file path string.

Return Value

Type: Optional[SessionInfo]

Returns an Optional[SessionInfo] object. If session information is successfully detected from the file, returns a SessionInfo dataclass instance containing the extracted session metadata. Returns None if no session information can be detected or if the file cannot be processed. The SessionInfo object likely contains fields such as session number, date, type, or other session-related attributes.

Dependencies

  • pathlib
  • typing
  • PyPDF2
  • pypdf

Required Imports

from pathlib import Path
from typing import Optional
from PyPDF2 import PdfReader
from pypdf import PdfReader

Conditional/Optional Imports

These imports are only needed under specific conditions:

from PyPDF2 import PdfReader

Condition: only when processing PDF files (file extension is .pdf)

Required (conditional) 
from pypdf import PdfReader

Condition: only when processing PDF files (file extension is .pdf), appears to be an alternative or fallback to PyPDF2

Required (conditional)

Usage Example

from pathlib import Path
from typing import Optional

# Assuming SessionDetector and SessionInfo are available
# from your_module import detect_session_from_file, SessionInfo

# Detect session from a PDF file
pdf_path = '/path/to/session_document.pdf'
session_info = detect_session_from_file(pdf_path)

if session_info:
    print(f'Session detected: {session_info}')
else:
    print('No session information found')

# Detect session from a non-PDF file (filename-based detection)
text_path = '/path/to/Session_2024_Minutes.txt'
session_info = detect_session_from_file(text_path)

if session_info:
    print(f'Session detected from filename: {session_info}')
else:
    print('No session information found in filename')

Best Practices

  • Ensure the file path exists and is accessible before calling this function to avoid file not found errors
  • Handle the None return value appropriately as session detection may fail for files without recognizable session information
  • For PDF files, ensure PyPDF2 or pypdf is properly installed as the function delegates to PDF-specific detection methods
  • Be aware that non-PDF files only use filename-based detection, so session information within the file content will not be detected
  • Consider validating the file_path parameter before passing it to this function
  • The function creates a new SessionDetector instance on each call, which may be inefficient if processing multiple files - consider reusing a SessionDetector instance for batch processing

Tags

session-detection file-analysis pdf-processing metadata-extraction document-parsing filename-parsing legislative-documents convenience-function file-routing

Similar Components

AI-powered semantic similarity - components with related functionality:

  • function test_session_detection 68.7% similar

    A comprehensive test function that validates session detection capabilities from multiple sources including filenames, PDF files, and text patterns.

    From: /tf/active/vicechatdev/e-ink-llm/test_session_detection.py

  • class SessionDetector 66.1% similar

    Detects session information (conversation ID and exchange number) from PDF files using multiple detection methods including metadata, filename, footer, and content analysis.

    From: /tf/active/vicechatdev/e-ink-llm/session_detector.py

  • class SessionInfo 58.9% similar

    A dataclass that stores session information extracted from PDF documents, including conversation ID, exchange number, confidence level, and source of extraction.

    From: /tf/active/vicechatdev/e-ink-llm/session_detector.py

  • function extract_metadata_pdf 52.6% similar

    Extracts metadata from PDF files including title, author, creation date, page count, and other document properties using PyPDF2 library.

    From: /tf/active/vicechatdev/CDocs/utils/document_processor.py

  • function load_session_from_disk 52.2% similar

    Loads a session from disk storage by reading a JSON file identified by session_id, deserializing the data, and converting timestamp strings back to datetime objects.

    From: /tf/active/vicechatdev/docchat/app.py
← Back to Browse