gpt4free/etc/tool/copilot.py
2024-01-20 18:16:18 +01:00

216 lines
6.0 KiB
Python

import sys
from pathlib import Path
sys.path.append(str(Path(__file__).parent.parent.parent))
import g4f
import json
import os
import re
import requests
from typing import Union
from github import Github
from github.PullRequest import PullRequest
g4f.debug.logging = True
g4f.debug.version_check = False
GITHUB_TOKEN = os.getenv('GITHUB_TOKEN')
G4F_PROVIDER = os.getenv('G4F_PROVIDER') or g4f.Provider.OpenaiChat
G4F_MODEL = os.getenv('G4F_MODEL') or g4f.models.gpt_4
def get_pr_details(github: Github) -> PullRequest:
"""
Rteurns the details of the pull request from GitHub.
Returns:
PullRequest: A PullRequest instance.
"""
with open(os.getenv('GITHUB_EVENT_PATH', ''), 'r') as file:
data = json.load(file)
repo = github.get_repo(f"{data['repository']['owner']['login']}/{data['repository']['name']}")
pull = repo.get_pull(data['number'])
return pull
def get_diff(diff_url: str) -> str:
"""
Fetches the diff of the pull request.
Args:
pull (PullRequest): Pull request.
Returns:
str or None: The diff of the pull request or None if not available.
"""
response = requests.get(diff_url)
response.raise_for_status()
return response.text
def read_json(text: str) -> dict:
match = re.search(r"```(json|)\n(?P<code>[\S\s]+?)\n```", text)
if match:
text = match.group("code")
try:
return json.loads(text.strip())
except json.JSONDecodeError:
print("No valid json:", text)
return {}
def read_text(text: str) -> dict:
match = re.search(r"```(markdown|)\n(?P<text>[\S\s]+?)\n```", text)
if match:
return match.group("text")
return text
def get_ai_response(prompt, as_json: bool = True) -> Union[dict, str]:
"""
Gets a response from g4f API based on the prompt.
Args:
prompt (str): The prompt to send to g4f.
Returns:
dict: The parsed response from g4f.
"""
response = g4f.ChatCompletion.create(
G4F_MODEL,
[{'role': 'user', 'content': prompt}],
G4F_PROVIDER,
ignore_stream_and_auth=True
)
if as_json:
return read_json(response)
return read_text(response)
def analyze_code(pull: PullRequest, diff: str)-> list:
"""
Analyzes the code changes in the pull request.
Args:
diff (str): The diff of the pull request.
pr_details (dict): Details of the pull request.
Returns:
list: List of comments generated by the analysis.
"""
comments = []
changed_lines = []
current_file_path = None
offset_line = 0
for line in diff.split('\n'):
if line.startswith('+++ b/'):
current_file_path = line[6:]
elif line.startswith('@@'):
match = re.search(r'\+([0-9]+?),', line)
if match:
offset_line = int(match.group(1))
elif current_file_path:
if line.startswith('\\') or line.startswith('diff'):
prompt = create_prompt(changed_lines, pull, current_file_path, offset_line)
response = get_ai_response(prompt)
for review in response.get('reviews', []):
review['path'] = current_file_path
comments.append(review)
changed_lines = []
current_file_path = None
elif not line.startswith('-'):
changed_lines.append(line)
return comments
def create_prompt(changed_lines: list, pull: PullRequest, file_path: str, offset_line: int):
"""
Creates a prompt for the g4f model.
Args:
diff (str): The line of code to analyze.
pr_details (dict): Details of the pull request.
Returns:
str: The generated prompt.
"""
code = "\n".join([f"{offset_line+idx}:{line}" for idx, line in enumerate(changed_lines)])
print("Code:", code)
example = '{"reviews": [{"line": <line_number>, "body": "<review comment>"}]}'
return f"""Your task is to review pull requests. Instructions:
- Provide the response in following JSON format: {example}
- Do not give positive comments or compliments.
- Provide comments and suggestions ONLY if there is something to improve, otherwise "reviews" should be an empty array.
- Write the comment in GitHub Markdown format.
- Use the given description only for the overall context and only comment the code.
- IMPORTANT: NEVER suggest adding comments to the code.
Review the following code diff in the file "{file_path}" and take the pull request title and description into account when writing the response.
Pull request title: {pull.title}
Pull request description:
---
{pull.body}
---
Each line is prefixed by its number. Code to review:
```
{code}
```
"""
def create_review_prompt(pull: PullRequest, diff: str):
"""
Creates a prompt to create a review.
Args:
diff (str): The line of code to analyze.
Returns:
str: The generated prompt.
"""
return f"""Your task is to review a pull request. Instructions:
- Your name / you are copilot.
- Write the review in GitHub Markdown format.
- Thank the author for contributing to the project.
- Point out that you might leave a few comments on the files.
Pull request author: {pull.user.name}
Pull request title: {pull.title}
Pull request description:
---
{pull.body}
---
Diff:
```diff
{diff}
```
"""
def main():
try:
github = Github(GITHUB_TOKEN)
pull = get_pr_details(github)
diff = get_diff(pull.diff_url)
except Exception as e:
print(f"Error get details: {e}")
exit(1)
try:
review = get_ai_response(create_review_prompt(pull, diff), False)
except Exception as e:
print(f"Error create review: {e}")
exit(1)
try:
comments = analyze_code(pull, diff)
except Exception as e:
print(f"Error analyze: {e}")
exit(1)
print("Comments:", comments)
try:
pull.create_review(body=review, comments=comments)
except Exception as e:
print(f"Error posting review: {e}")
exit(1)
if __name__ == "__main__":
main()