all_contributions.py

import requests

import os 
from dotenv import load_dotenv
load_dotenv()

# username = "madhav-mknc"
username = 'AryanGodara'
access_token = os.getenv("GITHUB_TOKEN")

api_url = 'https://api.github.com/graphql'

query = """
query {
  user(login: "%s") {
    login
    contributionsCollection {
      contributionCalendar {
        totalContributions

        weeks {
          contributionDays {
            date
            contributionCount
          }
        }
      }
    }
  }
}
""" % username

variables = {
    'login': username,
    'after': None
}

headers = {
    'Authorization': f'Bearer {access_token}',
    'Content-Type': 'application/json',
    'Accept': 'application/json',
}

all_contribution_data = []

  
def fetch():
  global all_contribution_data
  global variables
  
  while True:
      response = requests.post(api_url, json={'query': query, 'variables': variables}, headers=headers)
      data = response.json()
      print(len(data))
      # for i in data:
      #     print(i, data[i])


      # if 'errors' in data:
      #     raise Exception(data['errors'][0]['message'])

      contribution_data = data['data']['user']['contributionsCollection']
      weeks = contribution_data['contributionCalendar']['weeks']

      for week in weeks:
         days = week['contributionDays']
         for day in days:
            all_contribution_data.append(day)

      if not weeks or len(weeks) < 52:
          break

      variables['after'] = weeks[-1]['contributionDays'][-1]['date']
      


try:
   fetch()
except KeyboardInterrupt:
   pass


# printing
all_contribution_data = sorted(all_contribution_data, key=lambda x: x['date'])

# Sort the data based on 'date' key
all_contribution_data = sorted(all_contribution_data, key=lambda x: x['date'])

# Create a set to store unique dates
unique_dates = set()

# List to store unique contributions (without duplicates)
unique_contributions = []

# Iterate through the sorted data and add only unique dates to the list
for contribution in all_contribution_data:
    date = contribution['date']
    if date not in unique_dates:
        unique_dates.add(date)
        unique_contributions.append(contribution)

# Now, 'unique_contributions' contains only unique contributions based on the 'date' key

data = unique_contributions
streaks = []
current_streak = 0

for day in data:
    if day['contributionCount'] > 0:
        current_streak += 1
    else:
        current_streak = 0
    streaks.append({
        "date": day['date'],
        "streak": current_streak
    })
    print({
        "date": day['date'],
        "streak": current_streak
    })




# import matplotlib.pyplot as plt
# from datetime import datetime

# # Extract date and streak values
# dates = [entry['date'] for entry in streaks]
# streak_values = [entry['streak'] for entry in streaks]

# # Extract and format month names
# month_names = [datetime.strptime(date, '%Y-%m-%d').strftime('%b %Y') for date in dates]

# # Create a list to store unique month names
# unique_month_names = []
# unique_dates = []

# # Loop through dates to get unique month names
# for date, month_name in zip(dates, month_names):
#     if month_name not in unique_month_names:
#         unique_month_names.append(month_name)
#         unique_dates.append(date)