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| from github_analytics.fetch_data import fetch_user_data | |
| import datetime | |
| from groq import Groq | |
| import os | |
| from dotenv import load_dotenv | |
| load_dotenv() | |
| def clean_github_data(user_data, repo_data): | |
| data = {'name': user_data['login'], | |
| 'followers': user_data['followers'], | |
| 'public_repos': user_data['public_repos'], | |
| 'following': user_data['following']} | |
| created_at = datetime.datetime.strptime(user_data['created_at'], "%Y-%m-%dT%H:%M:%SZ") | |
| data['account_age'] = (datetime.datetime.now() - created_at).days // 365 | |
| data['repo_names'] = [] | |
| for repos in repo_data: | |
| data['repo_names'].append(repos['name']) | |
| data['size_of_repos'] = [] | |
| for repos in repo_data: | |
| data['size_of_repos'].append(repos['size']) | |
| data['languages'] = [] | |
| for repos in repo_data: | |
| data['languages'].append(repos['language']) | |
| data['topics'] = [] | |
| for repos in repo_data: | |
| data['topics'].append(repos['topics']) | |
| data['no_of_repos'] = len(data['repo_names']) | |
| data['total_stars'] = sum(repo['stargazers_count'] for repo in repo_data) | |
| data['total_watchers'] = sum(repo['watchers_count'] for repo in repo_data) | |
| data['total_open_issues'] = sum(repo['open_issues'] for repo in repo_data) | |
| data['most_starred_repo'] = max(repo_data, key=lambda x: x['stargazers_count'])['name'] | |
| data['most_watched_repo'] = max(repo_data, key=lambda x: x['watchers_count'])['name'] | |
| data['most_forked_repo'] = max(repo_data, key=lambda x: x['forks_count'])['name'] | |
| return data | |
| # print(clean_github_data(user_data, repo_data)) | |
| def analyze_github_data(username, domain, area_of_interest, experience_level, | |
| years_of_experience, skill_level, tech_stack, prior_projects, | |
| hours_in_hand): | |
| user_data, repo_data = fetch_user_data(username) | |
| data = clean_github_data(user_data, repo_data) | |
| client = Groq(api_key=os.getenv("GROQ_API_KEY")) | |
| completion = client.chat.completions.create( | |
| model="llama3-70b-8192", | |
| messages=[ | |
| { | |
| "role": "system", | |
| "content": f"""You are an expert at github and technological aspects. | |
| You are a mentor to one of such people. | |
| They come at you with data about their github repositories. | |
| They also give data about their domain, area of interest, exprience level, | |
| years of experience, skill level, tech stack, prior projects, hours in hand | |
| showing where they want to improve | |
| Start your answer with , 'Based on your github stats' | |
| Clearly mention stats from their github repository which stand out to you | |
| """, | |
| }, | |
| { | |
| "role": "user", | |
| "content": f"""You are given the following data {data}. It has | |
| (['name', 'followers', 'public_repos', 'following', 'account_age', 'repo_names', | |
| 'size_of_repos', 'languages', 'topics', 'no_of_repos', 'total_stars', 'total_watchers', | |
| 'total_open_issues', 'most_starred_repo', 'most_watched_repo', 'most_forked_repo']) | |
| You also know my: | |
| Domain: {domain} | |
| Area of Interest: {area_of_interest} | |
| Experience Level: {experience_level} | |
| Years of Experience: {years_of_experience} | |
| Skill level : {skill_level} | |
| Tech Stack: {tech_stack} | |
| Prior Projects: {prior_projects} | |
| Hours in Hand: {hours_in_hand} | |
| Based on my github stats, you should recommend me what kind of projects | |
| I should be doing more and what should be visible more on my github. | |
| give tips to enhance my github | |
| """, | |
| } | |
| ], | |
| max_tokens=4096, | |
| ) | |
| response = completion.choices[0].message.content | |
| return response | |