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26 Commits

Author SHA1 Message Date
d23daf880f Change gitlab API to use oauth_token instead of PAT (PAT shuold work as well) 2023-07-25 13:58:48 +03:00
adb3f17258 Merge pull request #131 from Codium-ai/ok/gitlab_webook
GitLab Webhook Integration and Provider Enhancements
2023-07-24 16:01:17 +03:00
2c03a67312 Add labels 2023-07-24 16:00:51 +03:00
55eb741965 Merge pull request #125 from Codium-ai/tr/code_enhancment
Code Enhancement in PR Agent
2023-07-24 15:37:53 +03:00
c9c95d60d4 Implement gitlab webhook 2023-07-24 15:05:24 +03:00
cca809e91c run_action 2023-07-24 12:45:24 +03:00
57ff46ecc1 stable 2023-07-24 12:41:00 +03:00
3819d52eb0 Merge remote-tracking branch 'origin/tr/code_enhancment' into tr/code_enhancment 2023-07-24 12:15:17 +03:00
3072325d2c PRDescription 2023-07-24 12:14:53 +03:00
abca2fdcb7 Merge remote-tracking branch 'origin/main' into tr/code_enhancment 2023-07-24 12:04:54 +03:00
4d84f76948 _get_prediction 2023-07-24 11:31:35 +03:00
dd8f6eb923 Merge pull request #126 from Codium-ai/ok/preserve_labels
Add functionality to preserve existing labels in PRs
2023-07-24 10:22:51 +03:00
b9c25e487a On /describe, preserve the current labels 2023-07-24 10:17:26 +03:00
1bf27c38a7 _prepare_pr_answer 2023-07-24 09:15:45 +03:00
1f987380ed Merge pull request #124 from Xyand/bugfix/mising_model
Bugfix - missing function argument
2023-07-24 07:36:21 +03:00
cd8bbbf889 bugfix 2023-07-24 00:58:21 +03:00
8e5498ee97 Merge pull request #122 from Codium-ai/update-readme-gifs-2
Update README.md
2023-07-23 17:40:26 +03:00
0412d7aca0 Update README.md 2023-07-23 17:38:08 +03:00
1eac3245d9 Merge pull request #121 from Codium-ai/update-gifs
Update GIF URLs in README
2023-07-23 17:33:47 +03:00
cd51bef7f7 Merge pull request #119 from zmeir/zmeir-code_suggestions_single_api_call
Optimize Code Suggestions API Calls
2023-07-23 17:30:37 +03:00
e8aa33fa0b Update README.md 2023-07-23 17:27:26 +03:00
54b021b02c Merge pull request #120 from Codium-ai/ok/remove_gitlab_polling
Temporarily remove gitlab polling server until a rewrite is ready
2023-07-23 17:07:59 +03:00
32151e3d9a Temporarily remove gitlab polling server until a rewrite is ready 2023-07-23 17:04:41 +03:00
32358678e6 Reduce the number of GitHub API calls when pushing code suggestions 2023-07-23 16:59:08 +03:00
42e32664a1 Merge pull request #118 from Codium-ai/ok/fallback_models
Handling exceptions in fallback models
2023-07-23 16:43:30 +03:00
321f7bce46 Merge pull request #117 from Codium-ai/ok/fallback_models
Implementing Fallback Models for Tokenization
2023-07-23 16:20:10 +03:00
10 changed files with 217 additions and 131 deletions

View File

@ -30,31 +30,31 @@ CodiumAI `PR-Agent` is an open-source tool aiming to help developers review pull
<h4>/describe:</h4>
<div align="center">
<p float="center">
<img src="https://www.codium.ai/wp-content/uploads/2023/07/describe.gif" width="800">
<img src="https://www.codium.ai/images/describe-2.gif" width="800">
</p>
</div>
<h4>/review:</h4>
<div align="center">
<p float="center">
<img src="https://www.codium.ai/wp-content/uploads/2023/07/review.gif" width="800">
<img src="https://www.codium.ai/images/review-2.gif" width="800">
</p>
</div>
<h4>/reflect and review:</h4>
<h4>/reflect_and_review:</h4>
<div align="center">
<p float="center">
<img src="https://www.codium.ai/wp-content/uploads/2023/07/reflect_and_review.gif" width="800">
<img src="https://www.codium.ai/images/reflect_and_review.gif" width="800">
</p>
</div>
<h4>/ask:</h4>
<div align="center">
<p float="center">
<img src="https://www.codium.ai/wp-content/uploads/2023/07/ask.gif" width="800">
<img src="https://www.codium.ai/images/ask-2.gif" width="800">
</p>
</div>
<h4>/improve:</h4>
<div align="center">
<p float="center">
<img src="https://www.codium.ai/wp-content/uploads/2023/07/improve-1.gif" width="800">
<img src="https://www.codium.ai/images/improve-2.gif" width="800">
</p>
</div>
<div align="left">
@ -83,7 +83,8 @@ CodiumAI `PR-Agent` is an open-source tool aiming to help developers review pull
| | Reflect and Review | :white_check_mark: | | |
| | | | | |
| USAGE | CLI | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| | Tagging bot | :white_check_mark: | :white_check_mark: | |
| | App / webhook | :white_check_mark: | :white_check_mark: | |
| | Tagging bot | :white_check_mark: | | |
| | Actions | :white_check_mark: | | |
| | | | | |
| CORE | PR compression | :white_check_mark: | :white_check_mark: | :white_check_mark: |
@ -106,7 +107,7 @@ In the [configuration](./CONFIGURATION.md) file you can select your git provider
Try GPT-4 powered PR-Agent on your public GitHub repository for free. Just mention `@CodiumAI-Agent` and add the desired command in any PR comment! The agent will generate a response based on your command.
![Review generation process](https://www.codium.ai/wp-content/uploads/2023/07/demo.gif)
![Review generation process](https://www.codium.ai/images/demo-2.gif)
To set up your own PR-Agent, see the [Installation](#installation) section

View File

@ -55,7 +55,7 @@ def get_pr_diff(git_provider: GitProvider, token_handler: TokenHandler, model: s
# if we are over the limit, start pruning
patches_compressed, modified_file_names, deleted_file_names = \
pr_generate_compressed_diff(pr_languages, token_handler, add_line_numbers_to_hunks)
pr_generate_compressed_diff(pr_languages, token_handler, model, add_line_numbers_to_hunks)
final_diff = "\n".join(patches_compressed)
if modified_file_names:

View File

@ -27,7 +27,7 @@ class BitbucketProvider:
self.set_pr(pr_url)
def is_supported(self, capability: str) -> bool:
if capability in ['get_issue_comments', 'create_inline_comment', 'publish_inline_comments']:
if capability in ['get_issue_comments', 'create_inline_comment', 'publish_inline_comments', 'get_labels']:
return False
return True

View File

@ -60,6 +60,10 @@ class GitProvider(ABC):
def publish_labels(self, labels):
pass
@abstractmethod
def get_labels(self):
pass
@abstractmethod
def remove_initial_comment(self):
pass

View File

@ -152,10 +152,8 @@ class GithubProvider(GitProvider):
def publish_code_suggestions(self, code_suggestions: list):
"""
Publishes code suggestions as comments on the PR.
In practice current APU enables to send only one code suggestion per comment. Might change in the future.
"""
post_parameters_list = []
import github.PullRequestComment
for suggestion in code_suggestions:
body = suggestion['body']
relevant_file = suggestion['relevant_file']
@ -178,7 +176,6 @@ class GithubProvider(GitProvider):
if relevant_lines_end > relevant_lines_start:
post_parameters = {
"body": body,
"commit_id": self.last_commit_id._identity,
"path": relevant_file,
"line": relevant_lines_end,
"start_line": relevant_lines_start,
@ -187,19 +184,14 @@ class GithubProvider(GitProvider):
else: # API is different for single line comments
post_parameters = {
"body": body,
"commit_id": self.last_commit_id._identity,
"path": relevant_file,
"line": relevant_lines_start,
"side": "RIGHT",
}
post_parameters_list.append(post_parameters)
try:
headers, data = self.pr._requester.requestJsonAndCheck(
"POST", f"{self.pr.url}/comments", input=post_parameters
)
github.PullRequestComment.PullRequestComment(
self.pr._requester, headers, data, completed=True
)
self.pr.create_review(commit=self.last_commit_id, comments=post_parameters_list)
return True
except Exception as e:
if settings.config.verbosity_level >= 2:
@ -330,5 +322,12 @@ class GithubProvider(GitProvider):
headers, data = self.pr._requester.requestJsonAndCheck(
"PUT", f"{self.pr.issue_url}/labels", input=post_parameters
)
except:
logging.exception("Failed to publish labels")
except Exception as e:
logging.exception(f"Failed to publish labels, error: {e}")
def get_labels(self):
try:
return [label.name for label in self.pr.labels]
except Exception as e:
logging.exception(f"Failed to get labels, error: {e}")
return []

View File

@ -8,11 +8,12 @@ from gitlab import GitlabGetError
from pr_agent.config_loader import settings
from .git_provider import EDIT_TYPE, FilePatchInfo, GitProvider
from ..algo.language_handler import is_valid_file
from .git_provider import EDIT_TYPE, FilePatchInfo, GitProvider
class GitLabProvider(GitProvider):
def __init__(self, merge_request_url: Optional[str] = None, incremental: Optional[bool] = False):
gitlab_url = settings.get("GITLAB.URL", None)
if not gitlab_url:
@ -21,8 +22,8 @@ class GitLabProvider(GitProvider):
if not gitlab_access_token:
raise ValueError("GitLab personal access token is not set in the config file")
self.gl = gitlab.Gitlab(
gitlab_url,
gitlab_access_token
url=gitlab_url,
oauth_token=gitlab_access_token
)
self.id_project = None
self.id_mr = None
@ -112,7 +113,7 @@ class GitLabProvider(GitProvider):
def create_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str):
raise NotImplementedError("Gitlab provider does not support creating inline comments yet")
def create_inline_comment(self, comments: list[dict]):
def create_inline_comments(self, comments: list[dict]):
raise NotImplementedError("Gitlab provider does not support publishing inline comments yet")
def send_inline_comment(self, body, edit_type, found, relevant_file, relevant_line_in_file, source_line_no,
@ -258,8 +259,15 @@ class GitLabProvider(GitProvider):
def get_user_id(self):
return None
def publish_labels(self, labels):
pass
def publish_labels(self, pr_types):
try:
self.mr.labels = list(set(pr_types))
self.mr.save()
except Exception as e:
logging.exception(f"Failed to publish labels, error: {e}")
def publish_inline_comments(self, comments: list[dict]):
pass
def get_labels(self):
return self.mr.labels

View File

@ -8,46 +8,57 @@ from pr_agent.tools.pr_reviewer import PRReviewer
async def run_action():
GITHUB_EVENT_NAME = os.environ.get('GITHUB_EVENT_NAME', None)
# Get environment variables
GITHUB_EVENT_NAME = os.environ.get('GITHUB_EVENT_NAME')
GITHUB_EVENT_PATH = os.environ.get('GITHUB_EVENT_PATH')
OPENAI_KEY = os.environ.get('OPENAI_KEY')
OPENAI_ORG = os.environ.get('OPENAI_ORG')
GITHUB_TOKEN = os.environ.get('GITHUB_TOKEN')
# Check if required environment variables are set
if not GITHUB_EVENT_NAME:
print("GITHUB_EVENT_NAME not set")
return
GITHUB_EVENT_PATH = os.environ.get('GITHUB_EVENT_PATH', None)
if not GITHUB_EVENT_PATH:
print("GITHUB_EVENT_PATH not set")
return
try:
event_payload = json.load(open(GITHUB_EVENT_PATH, 'r'))
except json.decoder.JSONDecodeError as e:
print(f"Failed to parse JSON: {e}")
return
OPENAI_KEY = os.environ.get('OPENAI_KEY', None)
if not OPENAI_KEY:
print("OPENAI_KEY not set")
return
OPENAI_ORG = os.environ.get('OPENAI_ORG', None)
GITHUB_TOKEN = os.environ.get('GITHUB_TOKEN', None)
if not GITHUB_TOKEN:
print("GITHUB_TOKEN not set")
return
# Set the environment variables in the settings
settings.set("OPENAI.KEY", OPENAI_KEY)
if OPENAI_ORG:
settings.set("OPENAI.ORG", OPENAI_ORG)
settings.set("GITHUB.USER_TOKEN", GITHUB_TOKEN)
settings.set("GITHUB.DEPLOYMENT_TYPE", "user")
# Load the event payload
try:
with open(GITHUB_EVENT_PATH, 'r') as f:
event_payload = json.load(f)
except json.decoder.JSONDecodeError as e:
print(f"Failed to parse JSON: {e}")
return
# Handle pull request event
if GITHUB_EVENT_NAME == "pull_request":
action = event_payload.get("action", None)
action = event_payload.get("action")
if action in ["opened", "reopened"]:
pr_url = event_payload.get("pull_request", {}).get("url", None)
pr_url = event_payload.get("pull_request", {}).get("url")
if pr_url:
await PRReviewer(pr_url).review()
# Handle issue comment event
elif GITHUB_EVENT_NAME == "issue_comment":
action = event_payload.get("action", None)
action = event_payload.get("action")
if action in ["created", "edited"]:
comment_body = event_payload.get("comment", {}).get("body", None)
comment_body = event_payload.get("comment", {}).get("body")
if comment_body:
pr_url = event_payload.get("issue", {}).get("pull_request", {}).get("url", None)
pr_url = event_payload.get("issue", {}).get("pull_request", {}).get("url")
if pr_url:
body = comment_body.strip().lower()
await PRAgent().handle_request(pr_url, body)

View File

@ -1,64 +0,0 @@
import asyncio
import time
import gitlab
from pr_agent.agent.pr_agent import PRAgent
from pr_agent.config_loader import settings
gl = gitlab.Gitlab(
settings.get("GITLAB.URL"),
private_token=settings.get("GITLAB.PERSONAL_ACCESS_TOKEN")
)
# Set the list of projects to monitor
projects_to_monitor = settings.get("GITLAB.PROJECTS_TO_MONITOR")
magic_word = settings.get("GITLAB.MAGIC_WORD")
# Hold the previous seen comments
previous_comments = set()
def check_comments():
print('Polling')
new_comments = {}
for project in projects_to_monitor:
project = gl.projects.get(project)
merge_requests = project.mergerequests.list(state='opened')
for mr in merge_requests:
notes = mr.notes.list(get_all=True)
for note in notes:
if note.id not in previous_comments and note.body.startswith(magic_word):
new_comments[note.id] = dict(
body=note.body[len(magic_word):],
project=project.name,
mr=mr
)
previous_comments.add(note.id)
print(f"New comment in project {project.name}, merge request {mr.title}: {note.body}")
return new_comments
def handle_new_comments(new_comments):
print('Handling new comments')
agent = PRAgent()
for _, comment in new_comments.items():
print(f"Handling comment: {comment['body']}")
asyncio.run(agent.handle_request(comment['mr'].web_url, comment['body']))
def run():
assert settings.get('CONFIG.GIT_PROVIDER') == 'gitlab', 'This script is only for GitLab'
# Initial run to populate previous_comments
check_comments()
# Run the check every minute
while True:
time.sleep(settings.get("GITLAB.POLLING_INTERVAL_SECONDS"))
new_comments = check_comments()
if new_comments:
handle_new_comments(new_comments)
if __name__ == '__main__':
run()

View File

@ -0,0 +1,47 @@
import logging
import uvicorn
from fastapi import APIRouter, FastAPI, Request, status
from fastapi.encoders import jsonable_encoder
from fastapi.responses import JSONResponse
from starlette.background import BackgroundTasks
from pr_agent.agent.pr_agent import PRAgent
from pr_agent.config_loader import settings
app = FastAPI()
router = APIRouter()
@router.post("/webhook")
async def gitlab_webhook(background_tasks: BackgroundTasks, request: Request):
data = await request.json()
if data.get('object_kind') == 'merge_request' and data['object_attributes'].get('action') in ['open', 'reopen']:
logging.info(f"A merge request has been opened: {data['object_attributes'].get('title')}")
url = data['object_attributes'].get('url')
background_tasks.add_task(PRAgent().handle_request, url, "/review")
elif data.get('object_kind') == 'note' and data['event_type'] == 'note':
if 'merge_request' in data:
mr = data['merge_request']
url = mr.get('url')
body = data.get('object_attributes', {}).get('note')
background_tasks.add_task(PRAgent().handle_request, url, body)
return JSONResponse(status_code=status.HTTP_200_OK, content=jsonable_encoder({"message": "success"}))
def start():
gitlab_url = settings.get("GITLAB.URL", None)
if not gitlab_url:
raise ValueError("GITLAB.URL is not set")
gitlab_token = settings.get("GITLAB.PERSONAL_ACCESS_TOKEN", None)
if not gitlab_token:
raise ValueError("GITLAB.PERSONAL_ACCESS_TOKEN is not set")
settings.config.git_provider = "gitlab"
app = FastAPI()
app.include_router(router)
uvicorn.run(app, host="0.0.0.0", port=3000)
if __name__ == '__main__':
start()

View File

@ -1,6 +1,7 @@
import copy
import json
import logging
from typing import Tuple, List
from jinja2 import Environment, StrictUndefined
@ -14,11 +15,22 @@ from pr_agent.git_providers.git_provider import get_main_pr_language
class PRDescription:
def __init__(self, pr_url: str):
"""
Initialize the PRDescription object with the necessary attributes and objects for generating a PR description using an AI model.
Args:
pr_url (str): The URL of the pull request.
"""
# Initialize the git provider and main PR language
self.git_provider = get_git_provider()(pr_url)
self.main_pr_language = get_main_pr_language(
self.git_provider.get_languages(), self.git_provider.get_files()
)
# Initialize the AI handler
self.ai_handler = AiHandler()
# Initialize the variables dictionary
self.vars = {
"title": self.git_provider.pr.title,
"branch": self.git_provider.get_pr_branch(),
@ -26,67 +38,135 @@ class PRDescription:
"language": self.main_pr_language,
"diff": "", # empty diff for initial calculation
}
self.token_handler = TokenHandler(self.git_provider.pr,
# Initialize the token handler
self.token_handler = TokenHandler(
self.git_provider.pr,
self.vars,
settings.pr_description_prompt.system,
settings.pr_description_prompt.user)
settings.pr_description_prompt.user,
)
# Initialize patches_diff and prediction attributes
self.patches_diff = None
self.prediction = None
async def describe(self):
"""
Generates a PR description using an AI model and publishes it to the PR.
"""
logging.info('Generating a PR description...')
if settings.config.publish_output:
self.git_provider.publish_comment("Preparing pr description...", is_temporary=True)
await retry_with_fallback_models(self._prepare_prediction)
logging.info('Preparing answer...')
pr_title, pr_body, pr_types, markdown_text = self._prepare_pr_answer()
if settings.config.publish_output:
logging.info('Pushing answer...')
if settings.pr_description.publish_description_as_comment:
self.git_provider.publish_comment(markdown_text)
else:
self.git_provider.publish_description(pr_title, pr_body)
self.git_provider.publish_labels(pr_types)
if self.git_provider.is_supported("get_labels"):
current_labels = self.git_provider.get_labels()
if current_labels is None:
current_labels = []
self.git_provider.publish_labels(pr_types + current_labels)
self.git_provider.remove_initial_comment()
return ""
async def _prepare_prediction(self, model: str):
async def _prepare_prediction(self, model: str) -> None:
"""
Prepare the AI prediction for the PR description based on the provided model.
Args:
model (str): The name of the model to be used for generating the prediction.
Returns:
None
Raises:
Any exceptions raised by the 'get_pr_diff' and '_get_prediction' functions.
"""
logging.info('Getting PR diff...')
self.patches_diff = get_pr_diff(self.git_provider, self.token_handler, model)
logging.info('Getting AI prediction...')
self.prediction = await self._get_prediction(model)
async def _get_prediction(self, model: str):
async def _get_prediction(self, model: str) -> str:
"""
Generate an AI prediction for the PR description based on the provided model.
Args:
model (str): The name of the model to be used for generating the prediction.
Returns:
str: The generated AI prediction.
"""
variables = copy.deepcopy(self.vars)
variables["diff"] = self.patches_diff # update diff
environment = Environment(undefined=StrictUndefined)
system_prompt = environment.from_string(settings.pr_description_prompt.system).render(variables)
user_prompt = environment.from_string(settings.pr_description_prompt.user).render(variables)
if settings.config.verbosity_level >= 2:
logging.info(f"\nSystem prompt:\n{system_prompt}")
logging.info(f"\nUser prompt:\n{user_prompt}")
response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2,
system=system_prompt, user=user_prompt)
response, finish_reason = await self.ai_handler.chat_completion(
model=model,
temperature=0.2,
system=system_prompt,
user=user_prompt
)
return response
def _prepare_pr_answer(self):
def _prepare_pr_answer(self) -> Tuple[str, str, List[str], str]:
"""
Prepare the PR description based on the AI prediction data.
Returns:
- title: a string containing the PR title.
- pr_body: a string containing the PR body in a markdown format.
- pr_types: a list of strings containing the PR types.
- markdown_text: a string containing the AI prediction data in a markdown format.
"""
# Load the AI prediction data into a dictionary
data = json.loads(self.prediction)
markdown_text = ""
# Initialization
markdown_text = pr_body = ""
pr_types = []
# Iterate over the dictionary items and append the key and value to 'markdown_text' in a markdown format
for key, value in data.items():
markdown_text += f"## {key}\n\n"
markdown_text += f"{value}\n\n"
pr_body = ""
pr_types = []
# If the 'PR Type' key is present in the dictionary, split its value by comma and assign it to 'pr_types'
if 'PR Type' in data:
pr_types = data['PR Type'].split(',')
title = data['PR Title']
del data['PR Title']
# Assign the value of the 'PR Title' key to 'title' variable and remove it from the dictionary
title = data.pop('PR Title')
# Iterate over the remaining dictionary items and append the key and value to 'pr_body' in a markdown format,
# except for the items containing the word 'walkthrough'
for key, value in data.items():
pr_body += f"{key}:\n"
if 'walkthrough' in key.lower():
pr_body += f"{value}\n"
else:
pr_body += f"**{value}**\n\n___\n"
if settings.config.verbosity_level >= 2:
logging.info(f"title:\n{title}\n{pr_body}")
return title, pr_body, pr_types, markdown_text