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#!/usr/bin/env python3
"""
Improved script to find all JSON files starting with 'chat_history_output'
and copy them to data/preprocess folder with shorter filenames.
"""
import os
import shutil
import glob
import hashlib
from pathlib import Path
def generate_short_name(original_path, counter):
"""Generate a short, unique filename."""
# Extract key parts
path_parts = original_path.split(os.sep)
# Find relevant parts
model_name = None
dimension = None
for part in path_parts:
if part in ['vc2', 'vc09', 'modelscope', 'latte1', 'vc10-large', 'sdxl-1.0', 'sd-2.1', 'sd-1.4', 'sd-3']:
model_name = part
if part.startswith('2024-') and 'How_' in part:
# Extract the question and make it shorter
question = part.split('-', 3)[-1] if len(part.split('-', 3)) > 3 else part
# Take first few words and create a hash for uniqueness
words = question.replace('How_', '').replace('_', ' ').split()[:3]
dimension = '_'.join(words[:3]).replace('?', '')
# Create hash of full path for uniqueness
path_hash = hashlib.md5(original_path.encode()).hexdigest()[:8]
# Build short name
parts = []
if model_name:
parts.append(model_name)
if dimension:
parts.append(dimension[:30]) # Limit dimension length
parts.append(f"hash_{path_hash}")
parts.append(f"id_{counter:04d}")
return f"{'_'.join(parts)}.json"
def find_and_copy_chat_history_files():
"""Find all chat_history_output*.json files and copy them to data/preprocess."""
# Source directory
# source_dir = "/home/data2/sltian/code/evaluation_agent_dev/ea-data/agent/vbench_results"
source_dir = "/home/data2/sltian/code/evaluation_agent_dev/ea-data/agent/t2i_results"
# Destination directory
dest_dir = "/home/data2/sltian/code/evaluation_agent_dev/data/preprocess-t2i"
# Create destination directory if it doesn't exist
os.makedirs(dest_dir, exist_ok=True)
# Find all *chat_history*.json files recursively
pattern = os.path.join(source_dir, "**/*chat_history*.json")
chat_files = glob.glob(pattern, recursive=True)
print(f"Found {len(chat_files)} *chat_history*.json files")
copied_files = []
counter = 1
for file_path in chat_files:
# Generate a short filename
short_filename = generate_short_name(file_path, counter)
# Destination file path
dest_file = os.path.join(dest_dir, short_filename)
# Copy the file
try:
shutil.copy2(file_path, dest_file)
copied_files.append((file_path, dest_file))
print(f"Copied [{counter:4d}]: {os.path.basename(file_path)} -> {short_filename}")
counter += 1
except Exception as e:
print(f"Error copying {file_path}: {e}")
print(f"\nSuccessfully copied {len(copied_files)} files to {dest_dir}")
# Create a detailed mapping file
mapping_file = os.path.join(dest_dir, "detailed_file_mapping.txt")
with open(mapping_file, "w") as f:
f.write("Short Filename -> Original Path\n")
f.write("=" * 80 + "\n")
for orig, copied in copied_files:
short_name = os.path.basename(copied)
f.write(f"{short_name} -> {orig}\n")
print(f"Created detailed file mapping at: {mapping_file}")
# Create a summary by model
summary_file = os.path.join(dest_dir, "summary_by_model.txt")
model_counts = {}
for orig, copied in copied_files:
path_parts = orig.split(os.sep)
model = None
for part in path_parts:
if part in ['vc2', 'vc09', 'modelscope', 'latte1', 'vc10-large', 'sdxl-1.0', 'sd-2.1', 'sd-1.4', 'sd-3']:
model = part
break
if model:
model_counts[model] = model_counts.get(model, 0) + 1
with open(summary_file, "w") as f:
f.write("Summary by Model\n")
f.write("=" * 30 + "\n")
for model, count in sorted(model_counts.items()):
f.write(f"{model}: {count} files\n")
f.write(f"\nTotal: {sum(model_counts.values())} files\n")
print(f"Created summary at: {summary_file}")
if __name__ == "__main__":
find_and_copy_chat_history_files() |