Chat GPT information about Pull Requests opened in the last 6 months using Pygithub, matplotlib and numpy

chat-gpt-twelfth-answer.py

from github import Github
import datetime
import matplotlib.pyplot as plt
import numpy as np

# Your GitHub access token
ACCESS_TOKEN = 'your-access-token-here'

# Create a Github instance using an access token
g = Github(ACCESS_TOKEN)

# Get the repository
repo = g.get_repo("owner/repo")

# Get the time 6 months ago
six_months_ago = datetime.datetime.now() - datetime.timedelta(days=180)

# Get the pulls in the last 6 months
pulls = repo.get_pulls(state='all', base='main')
merged_dates = []
merged_hours_list = []

# Iterate over the pulls and calculate the time to merge in hours
for pull in pulls:
    if pull.merged_at is not None and pull.created_at > six_months_ago:
        merged_time = pull.merged_at - pull.created_at
        merged_hours = merged_time.total_seconds() / 3600  # convert seconds to hours
        merged_dates.append(pull.created_at.date())
        merged_hours_list.append(merged_hours)

# Get the unique dates in the list of merged_dates
date_list = np.unique(merged_dates)

# Create the bar chart
fig, ax = plt.subplots(figsize=(12, 6))
ax.set_xlabel('Date')
ax.set_ylabel('Time to Merge (hours)')
ax.set_title('Time to Merge Pull Requests')
ax.tick_params(axis='x', labelrotation=45)

# Iterate over the unique dates and calculate the mean time to merge for each date
for date in date_list:
    filtered_merged_hours_list = [merged_hours for merged_hours, merged_date in zip(merged_hours_list, merged_dates) if merged_date == date]
    mean_merged_hours = np.mean(filtered_merged_hours_list) if filtered_merged_hours_list else 0
    ax.bar(date, mean_merged_hours, color='blue')

plt.show()