feat: Extract embedded PDF metadata using pypdf in upload_to_email

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
This commit is contained in:
google-labs-jules[bot]
2026-03-16 09:05:02 +00:00
parent 2732dafba9
commit df64aece2c
2 changed files with 43 additions and 2 deletions
+17 -2
View File
@@ -11,6 +11,7 @@ from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import pypdf
from jinja2 import Environment, FileSystemLoader, select_autoescape
from app.celery_app import celery
@@ -80,8 +81,22 @@ def extract_metadata_from_file(file_path):
except Exception as e:
logger.warning(f"Failed to load metadata from JSON file: {str(e)}")
# TODO: For PDF files, try to extract embedded metadata using PyPDF2
# This would require additional dependencies, so for now we'll just check for external JSON
# Try to extract embedded metadata from PDF
if file_path.lower().endswith(".pdf") and os.path.exists(file_path):
try:
with open(file_path, "rb") as f:
pdf_reader = pypdf.PdfReader(f)
pdf_metadata = pdf_reader.metadata
if pdf_metadata:
# Convert metadata to a standard dictionary
for key, value in pdf_metadata.items():
# Remove the leading slash from PDF metadata keys (e.g., '/Title' -> 'Title')
clean_key = key[1:] if key.startswith("/") else key
metadata[clean_key] = str(value)
logger.info(f"Extracted embedded metadata from PDF: {file_path}")
except Exception as e:
logger.warning(f"Failed to extract metadata from PDF {file_path}: {str(e)}")
return metadata