leadtimes.py

import requests
import datetime
import numpy as np
import os
import json
import sys

repo = "weaveworks/weave-gitops" # Replace with the name of the repository
access_token = "<access_token>" # Replace with your GitHub access token

def get_issues(repo, state):
    filename = f"{repo.replace('/', '_')}_{state}_issues.json"
    if os.path.exists(filename):
        with open(filename, "rb") as f:
            return json.load(f)

    issues = []
    page = 1
    while True:
        response = requests.get(
            f"https://api.github.com/repos/{repo}/issues?state={state}&page={page}",
            headers={"Authorization": f"Token {access_token}"}
        )
        if response.status_code != 200:
            raise Exception("Failed to fetch issues")
        data = response.json()
        if not data:
            break
        issues += data
        page += 1

    with open(filename, "w") as f:
        json.dump(issues, f)

    return issues

def calculate_lead_time(issue):
    created_at = datetime.datetime.strptime(issue["created_at"], "%Y-%m-%dT%H:%M:%SZ")
    if issue["state"] == "closed":
        closed_at = datetime.datetime.strptime(issue["closed_at"], "%Y-%m-%dT%H:%M:%SZ")
        return (closed_at - created_at).total_seconds()
    return None

closed_issues = get_issues(repo, "closed")

def label_filter(issue):
    if len(sys.argv) >= 2:
        return all(label in map(lambda label: label["name"], issue["labels"]) for label in sys.argv[1:])
    return True

after_date = datetime.datetime(2022, 10, 1)
lead_times = [
    calculate_lead_time(issue)
    for issue in closed_issues
    if "closed_at" in issue
    and datetime.datetime.strptime(issue["closed_at"], "%Y-%m-%dT%H:%M:%SZ") >= after_date
    and label_filter(issue)
]
lead_times = [lead_time for lead_time in lead_times if lead_time is not None]

percentiles = [50, 75, 90, 95, 99]
percentile_values = np.percentile(lead_times, percentiles)

def human_readable_time(seconds):
    minutes = int(seconds / 60) % 60
    hours = int(seconds / 3600) % 24
    days = int(seconds / 86400)
    return f'{days}d {hours}h {minutes}m {seconds%60:.0f}s'

print(f"lead time stats from {len(lead_times)} issues closed after {after_date}\n")

for i, percentile in enumerate(percentiles):
    print(f"{percentile}th percentile: {human_readable_time(percentile_values[i])}")