Conversation with ChatGPT-4o:
Prompt:
Write a python program that makes a database of the video files in the current folder, and prints in a text file the following data:
- The combined time duration of all video files.
- The average duration of all the video files time duration.
- The median of the video files time duration in the folder.
Write the code in an easy to understand way, and make it easy to modify and add to. You can use third-party libraries as long as they're lighweight and require less of 1MB of download with pip. Explain each part of your codes, and provide alternative ways for doing some of the things you've done. Prioritize efficiency.
Use the comment style of lines starting with #
Edited Response in Chunks in Comments!
1: Conversation Summary
We discussed a Python program to gather video files in the current folder, calculate their combined, average, and median durations, and output these results to a text file. You wanted the output to show time in the format
hours:minutes:seconds.fractions
. I provided a solution using themoviepy
library, with detailed explanations and comments to make the code easy to understand, extend, and modify.The conversation includes:
format_duration
function that formats the time.Below are the individual code and explanation chunks.
2: Main Python Code with Explanation
Here’s the main Python code that lists video files in the current folder, calculates durations, and outputs the combined, average, and median durations in
hours:minutes:seconds.fractions
format:# Import necessary modules import os import moviepy.editor as mp import statistics # Set up list to hold video durations in seconds video_durations = [] # Define a list of video file extensions for filtering video_extensions = ['.mp4', '.mov', '.avi', '.mkv'] # Function to convert seconds to "hours:minutes:seconds.fractions" format def format_duration(seconds): hours = int(seconds // 3600) minutes = int((seconds % 3600) // 60) secs = seconds % 60 # remaining seconds with fraction return f"{hours}:{minutes:02}:{secs:06.3f}" # format with leading zeros for minutes, seconds, and fraction
# Get all video files in the current directory for file in os.listdir('.'): # Check if the file is a video file based on its extension if any(file.endswith(ext) for ext in video_extensions): try: # Load the video file and get its duration video = mp.VideoFileClip(file) duration = video.duration # Duration in seconds video_durations.append(duration) video.close() # Close the file to free up resources except Exception as e: print(f"Error processing {file}: {e}")
# Calculate total duration, average, and median if there are video files if video_durations: total_duration = sum(video_durations) average_duration = total_duration / len(video_durations) median_duration = statistics.median(video_durations) # Write results to a text file with open("video_duration_stats.txt", "w") as f: f.write(f"Combined duration of all video files: {format_duration(total_duration)}\n") f.write(f"Average duration of video files: {format_duration(average_duration)}\n") f.write(f"Median duration of video files: {format_duration(median_duration)}\n") print("Video duration stats have been saved to 'video_duration_stats.txt'") else: print("No video files found in the current directory.")
3: Explanation of
format_duration
FunctionThe
format_duration
function converts a duration in seconds intohours:minutes:seconds.fractions
format for readability.def format_duration(seconds): hours = int(seconds // 3600) minutes = int((seconds % 3600) // 60) secs = seconds % 60 # remaining seconds with fraction return f"{hours}:{minutes:02}:{secs:06.3f}" # format with leading zeros for minutes, seconds, and fraction
Details:
hours = int(seconds // 3600)
extracts the full hours from the total seconds.minutes = int((seconds % 3600) // 60)
calculates the remaining minutes after hours are subtracted.secs = seconds % 60
captures the remaining seconds, including fractions.f"{hours}:{minutes:02}:{secs:06.3f}"
formats minutes and seconds with leading zeros and displays up to three decimal places forsecs
.4: Explanation of Code Segments
Importing Modules:
import os import moviepy.editor as mp import statistics
os
: Lists files in the directory.moviepy.editor
: AccessesVideoFileClip
for video duration.statistics
: Calculates the median of the list.Filtering Video Files by Extension:
video_extensions = ['.mp4', '.mov', '.avi', '.mkv']
4b. Explanation of Code Segments
for file in os.listdir('.'): if any(file.endswith(ext) for ext in video_extensions): try: video = mp.VideoFileClip(file) duration = video.duration video_durations.append(duration) video.close() except Exception as e: print(f"Error processing {file}: {e}")
try-except
block helps handle errors for files that can’t be processed.5: Calculating and Saving Statistics
if video_durations: total_duration = sum(video_durations) average_duration = total_duration / len(video_durations) median_duration = statistics.median(video_durations) with open("video_duration_stats.txt", "w") as f: f.write(f"Combined duration of all video files: {format_duration(total_duration)}\n") f.write(f"Average duration of video files: {format_duration(average_duration)}\n") f.write(f"Median duration of video files: {format_duration(median_duration)}\n") print("Video duration stats have been saved to 'video_duration_stats.txt'") else: print("No video files found in the current directory.")
Details:
total_duration
,average_duration
, andmedian_duration
.open("video_duration_stats.txt", "w")
writes the results to a text file.Chunk 6: Alternative Approaches
Alternative to
moviepy
:ffmpeg-python
for video duration extraction if you need higher efficiency, especially with large files.Manual Median Calculation (Alternative to
statistics
):video_durations.sort() n = len(video_durations) median_duration = (video_durations[n//2] if n % 2 != 0 else (video_durations[n//2 - 1] + video_durations[n//2]) / 2)