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#!/usr/bin/env python3
"""
File Upload Diagnostic Script
This script helps debug why some images are not being processed.
"""
import os
from pathlib import Path
from typing import Dict, List
def analyze_uploaded_files(folder_path: str) -> None:
"""
Analyze uploaded files to understand why some images might not be processed.
Args:
folder_path: Path to the uploaded folder
"""
print("🔍 File Upload Diagnostic Tool")
print("=" * 50)
if not os.path.exists(folder_path):
print(f"❌ Folder not found: {folder_path}")
return
# Get all files in the folder
all_files = []
for root, dirs, files in os.walk(folder_path):
for file in files:
full_path = os.path.join(root, file)
all_files.append(Path(full_path))
print(f"📁 Total files found: {len(all_files)}")
print("\n📋 All files:")
for i, file_path in enumerate(all_files, 1):
print(f" {i}. {file_path.name} (ext: {file_path.suffix.lower()})")
# Analyze image files
image_exts = ['.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff']
print(f"\n🖼️ Looking for image extensions: {image_exts}")
image_files = []
non_image_files = []
for file_path in all_files:
if any(file_path.suffix.lower().endswith(ext) for ext in image_exts):
image_files.append(file_path)
else:
non_image_files.append(file_path)
print(f"\n✅ Image files detected ({len(image_files)}):")
for i, img in enumerate(image_files, 1):
print(f" {i}. {img.name}")
print(f"\n📄 Non-image files ({len(non_image_files)}):")
for i, file in enumerate(non_image_files, 1):
print(f" {i}. {file.name} (ext: {file.suffix.lower()})")
# Check for CSV files
csv_files = [f for f in all_files if f.suffix.lower() == '.csv']
print(f"\n📊 CSV files found ({len(csv_files)}):")
for i, csv in enumerate(csv_files, 1):
print(f" {i}. {csv.name}")
# If CSV exists, check its content
if csv_files:
try:
import pandas as pd
df = pd.read_csv(csv_files[0])
print(f"\n📈 CSV Analysis for '{csv_files[0].name}':")
print(f" - Rows: {len(df)}")
print(f" - Columns: {list(df.columns)}")
if 'Image Name' in df.columns:
image_names_in_csv = df['Image Name'].tolist()
print(f" - Image names in CSV: {len(image_names_in_csv)}")
# Check which images from CSV actually exist as files
existing_images = []
missing_images = []
for img_name in image_names_in_csv:
if any(img.name == img_name for img in image_files):
existing_images.append(img_name)
else:
missing_images.append(img_name)
print(f"\n🔗 CSV-to-File Matching:")
print(f" - Images in CSV that exist as files: {len(existing_images)}")
print(f" - Images in CSV that are missing: {len(missing_images)}")
if existing_images:
print(" ✅ Matching files:")
for img in existing_images:
print(f" - {img}")
if missing_images:
print(" ❌ Missing files:")
for img in missing_images:
print(f" - {img}")
except Exception as e:
print(f" ❌ Error reading CSV: {e}")
# Summary
print(f"\n📊 SUMMARY:")
print(f" - Total files uploaded: {len(all_files)}")
print(f" - Image files detected: {len(image_files)}")
print(f" - CSV files: {len(csv_files)}")
if csv_files and 'df' in locals():
if 'Image Name' in df.columns:
print(f" - Images that will be processed: {len(existing_images)}")
else:
print(f" - CSV exists but no 'Image Name' column - will process all {len(image_files)} images")
else:
print(f" - No CSV - will process all {len(image_files)} images")
if __name__ == "__main__":
print("Please provide the path to your uploaded folder:")
folder_path = input("Folder path: ").strip()
analyze_uploaded_files(folder_path) |