File size: 11,964 Bytes
e15e1c7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 |
# PDF_Ingestion_Lib.py
#########################################
# Library to hold functions for ingesting PDF files.#
#
####################
# Function List
#
# 1. convert_pdf_to_markdown(pdf_path)
# 2. ingest_pdf_file(file_path, title=None, author=None, keywords=None):
# 3.
#
#
####################
import re
# Import necessary libraries
# Import Local
#######################################################################################################################
# Function Definitions
#
# Ingest a text file into the database with Title/Author/Keywords
# Constants
MAX_FILE_SIZE_MB = 50
CONVERSION_TIMEOUT_SECONDS = 300
# Marker PDF solution
# def convert_pdf_to_markdown(pdf_path):
# """
# Convert a PDF file to Markdown by calling a script in another virtual environment.
# """
#
# logging.debug(f"Marker: Converting PDF file to Markdown: {pdf_path}")
# # Check if the file size exceeds the maximum allowed size
# file_size_mb = os.path.getsize(pdf_path) / (1024 * 1024)
# if file_size_mb > MAX_FILE_SIZE_MB:
# raise ValueError(f"File size ({file_size_mb:.2f} MB) exceeds the maximum allowed size of {MAX_FILE_SIZE_MB} MB")
#
# logging.debug("Marker: Converting PDF file to Markdown using Marker virtual environment")
# # Path to the Python interpreter in the other virtual environment
# other_venv_python = "Helper_Scripts/marker_venv/bin/python"
#
# # Path to the conversion script
# converter_script = "Helper_Scripts/PDF_Converter.py"
#
# logging.debug("Marker: Attempting to convert PDF file to Markdown...")
# try:
# result = subprocess.run(
# [other_venv_python, converter_script, pdf_path],
# capture_output=True,
# text=True,
# timeout=CONVERSION_TIMEOUT_SECONDS
# )
# if result.returncode != 0:
# raise Exception(f"Conversion failed: {result.stderr}")
# return result.stdout
# except subprocess.TimeoutExpired:
# raise Exception(f"PDF conversion timed out after {CONVERSION_TIMEOUT_SECONDS} seconds")
#
#
# def process_and_ingest_pdf(file, title, author, keywords):
# if file is None:
# return "Please select a PDF file to upload."
#
# try:
# # Create a temporary directory
# with tempfile.TemporaryDirectory() as temp_dir:
# # Create a path for the temporary PDF file
# temp_path = os.path.join(temp_dir, "temp.pdf")
#
# # Copy the contents of the uploaded file to the temporary file
# shutil.copy(file.name, temp_path)
#
# # Call the ingest_pdf_file function with the temporary file path
# result = ingest_pdf_file(temp_path, title, author, keywords)
#
# return result
# except Exception as e:
# return f"Error processing PDF: {str(e)}"
#
#
# def ingest_pdf_file(file_path, title=None, author=None, keywords=None):
# try:
# # Convert PDF to Markdown
# markdown_content = convert_pdf_to_markdown(file_path)
#
# # If title is not provided, use the filename without extension
# if not title:
# title = os.path.splitext(os.path.basename(file_path))[0]
#
# # If author is not provided, set it to 'Unknown'
# if not author:
# author = 'Unknown'
#
# # If keywords are not provided, use a default keyword
# if not keywords:
# keywords = 'pdf_file,markdown_converted'
# else:
# keywords = f'pdf_file,markdown_converted,{keywords}'
#
# # Add the markdown content to the database
# add_media_with_keywords(
# url=file_path,
# title=title,
# media_type='document',
# content=markdown_content,
# keywords=keywords,
# prompt='No prompt for PDF files',
# summary='No summary for PDF files',
# transcription_model='None',
# author=author,
# ingestion_date=datetime.now().strftime('%Y-%m-%d')
# )
#
# return f"PDF file '{title}' converted to Markdown and ingested successfully.", file_path
# except ValueError as e:
# logging.error(f"File size error: {str(e)}")
# return f"Error: {str(e)}", file_path
# except Exception as e:
# logging.error(f"Error ingesting PDF file: {str(e)}")
# return f"Error ingesting PDF file: {str(e)}", file_path
#
#
# def process_and_cleanup_pdf(file, title, author, keywords):
# # FIXME - Update to validate file upload/filetype is pdf....
# if file is None:
# return "No file uploaded. Please upload a PDF file."
#
# temp_dir = tempfile.mkdtemp()
# temp_file_path = os.path.join(temp_dir, "temp.pdf")
#
# try:
# # Copy the uploaded file to a temporary location
# shutil.copy2(file.name, temp_file_path)
#
# # Process the file
# result, _ = ingest_pdf_file(temp_file_path, title, author, keywords)
#
# return result
# except Exception as e:
# logging.error(f"Error in processing and cleanup: {str(e)}")
# return f"Error: {str(e)}"
# finally:
# # Clean up the temporary directory and its contents
# try:
# shutil.rmtree(temp_dir)
# logging.info(f"Removed temporary directory: {temp_dir}")
# except Exception as cleanup_error:
# logging.error(f"Error during cleanup: {str(cleanup_error)}")
# result += f"\nWarning: Could not remove temporary files: {str(cleanup_error)}"
import logging
#
#
#######################################################################################################################
#
# Non-Marker implementation
import os
import shutil
import tempfile
from datetime import datetime
import pymupdf
from App_Function_Libraries.DB.DB_Manager import add_media_with_keywords
def extract_text_and_format_from_pdf(pdf_path):
"""
Extract text from a PDF file and convert it to Markdown, preserving formatting.
"""
try:
markdown_text = ""
with pymupdf.open(pdf_path) as doc:
for page_num, page in enumerate(doc, 1):
markdown_text += f"## Page {page_num}\n\n"
blocks = page.get_text("dict")["blocks"]
current_paragraph = ""
for block in blocks:
if block["type"] == 0: # Text block
for line in block["lines"]:
line_text = ""
for span in line["spans"]:
text = span["text"]
font_size = span["size"]
font_flags = span["flags"]
# Apply formatting based on font size and flags
if font_size > 20:
text = f"# {text}"
elif font_size > 16:
text = f"## {text}"
elif font_size > 14:
text = f"### {text}"
if font_flags & 2 ** 0: # Bold
text = f"**{text}**"
if font_flags & 2 ** 1: # Italic
text = f"*{text}*"
line_text += text + " "
# Remove hyphens at the end of lines
line_text = line_text.rstrip()
if line_text.endswith('-'):
line_text = line_text[:-1]
else:
line_text += " "
current_paragraph += line_text
# End of block, add paragraph
if current_paragraph:
# Remove extra spaces
current_paragraph = re.sub(r'\s+', ' ', current_paragraph).strip()
markdown_text += current_paragraph + "\n\n"
current_paragraph = ""
elif block["type"] == 1: # Image block
markdown_text += "[Image]\n\n"
markdown_text += "\n---\n\n" # Page separator
# Clean up hyphenated words
markdown_text = re.sub(r'(\w+)-\s*\n(\w+)', r'\1\2', markdown_text)
return markdown_text
except Exception as e:
logging.error(f"Error extracting text and formatting from PDF: {str(e)}")
raise
def extract_metadata_from_pdf(pdf_path):
"""
Extract metadata from a PDF file using PyMuPDF.
"""
try:
with pymupdf.open(pdf_path) as doc:
metadata = doc.metadata
return metadata
except Exception as e:
logging.error(f"Error extracting metadata from PDF: {str(e)}")
return {}
def process_and_ingest_pdf(file, title, author, keywords):
if file is None:
return "Please select a PDF file to upload."
try:
# Create a temporary directory
with tempfile.TemporaryDirectory() as temp_dir:
# Create a path for the temporary PDF file
temp_path = os.path.join(temp_dir, "temp.pdf")
# Copy the contents of the uploaded file to the temporary file
shutil.copy(file.name, temp_path)
# Extract text and convert to Markdown
markdown_text = extract_text_and_format_from_pdf(temp_path)
# Extract metadata from PDF
metadata = extract_metadata_from_pdf(temp_path)
# Use metadata for title and author if not provided
if not title:
title = metadata.get('title', os.path.splitext(os.path.basename(file.name))[0])
if not author:
author = metadata.get('author', 'Unknown')
# If keywords are not provided, use a default keyword
if not keywords:
keywords = 'pdf_file,markdown_converted'
else:
keywords = f'pdf_file,markdown_converted,{keywords}'
# Add metadata-based keywords
if 'subject' in metadata:
keywords += f",{metadata['subject']}"
# Add the PDF content to the database
add_media_with_keywords(
url=file.name,
title=title,
media_type='document',
content=markdown_text,
keywords=keywords,
prompt='No prompt for PDF files',
summary='No summary for PDF files',
transcription_model='None',
author=author,
ingestion_date=datetime.now().strftime('%Y-%m-%d')
)
return f"PDF file '{title}' by {author} ingested successfully and converted to Markdown."
except Exception as e:
logging.error(f"Error ingesting PDF file: {str(e)}")
return f"Error ingesting PDF file: {str(e)}"
def process_and_cleanup_pdf(file, title, author, keywords):
if file is None:
return "No file uploaded. Please upload a PDF file."
try:
result = process_and_ingest_pdf(file, title, author, keywords)
return result
except Exception as e:
logging.error(f"Error in processing and cleanup: {str(e)}")
return f"Error: {str(e)}"
#
# End of PDF_Ingestion_Lib.py
####################################################################################################################### |