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from github import Github | |
import datetime | |
import matplotlib.pyplot as plt | |
# Access the GitHub API using a personal access token | |
g = Github("<personal_access_token>") | |
# Replace <repository_owner> and <repository_name> with the owner and name of the repository | |
repo = g.get_repo("<repository_owner>/<repository_name>") | |
# Set the date range to retrieve pull requests for | |
date_range = 180 # Number of days in the date range | |
end_date = datetime.datetime.now() | |
start_date = end_date - datetime.timedelta(days=date_range) | |
# Get all pull requests for the repository | |
pull_requests = repo.get_pulls(state='all', sort='created', direction='desc', base='main') | |
# Create a dictionary to hold the times to merge for each day | |
times_to_merge_per_day = {} | |
# Iterate over each pull request and calculate the time to merge | |
for pull_request in pull_requests: | |
# Check if the pull request was created within the specified date range | |
if pull_request.created_at.date() >= start_date.date() and pull_request.created_at.date() <= end_date.date(): | |
if pull_request.merged: | |
# Get the date the pull request was opened | |
pr_created_date = pull_request.created_at.date() | |
# Get the date the pull request was merged | |
pr_merged_date = pull_request.merged_at.date() | |
# Calculate the time between the pull request being opened and it being merged | |
time_to_merge = (pr_merged_date - pr_created_date).days | |
# Add the time to merge to the corresponding day in the dictionary | |
if pr_created_date in times_to_merge_per_day: | |
times_to_merge_per_day[pr_created_date].append(time_to_merge) | |
else: | |
times_to_merge_per_day[pr_created_date] = [time_to_merge] | |
else: | |
print("Pull Request #{} - Not merged yet".format(pull_request.number)) | |
# Create a list of the average times to merge for each day | |
avg_times_to_merge_per_day = [] | |
for date in date_list: | |
if date in times_to_merge_per_day: | |
times_to_merge = times_to_merge_per_day[date] | |
avg_time_to_merge = sum(times_to_merge) / len(times_to_merge) | |
else: | |
avg_time_to_merge = 0 | |
avg_times_to_merge_per_day.append(avg_time_to_merge) | |
# Create a list of the dates in the specified date range | |
date_list = [start_date + datetime.timedelta(days=x) for x in range(date_range+1)] | |
# Check if there are any pull requests merged during the specified date range | |
if not avg_times_to_merge_per_day: | |
print("There are no pull requests merged during the specified date range.") | |
else: | |
# Plot the average times to merge per day as a bar chart | |
fig, ax = plt.subplots() | |
ax.bar(date_list, avg_times_to_merge_per_day) | |
# Set the x-axis and y-axis labels | |
ax.set_xlabel('Date') | |
ax.set_ylabel('Average Time to Merge (days)') | |
# Set the chart title | |
ax.set_title('Average Time to Merge for Pull Requests Opened in the Last {} Days'.format(date_range)) | |
# Rotate the x-axis tick labels by 45 degrees for readability | |
plt.xticks(rotation=45) | |
# Show the chart | |
plt.show() |
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