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