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idsvidov/g
...
ok/gitlab_
Author | SHA1 | Date | |
---|---|---|---|
e41247c473 | |||
5704070834 | |||
98fe376add |
11
.gitlab-ci.yml
Normal file
11
.gitlab-ci.yml
Normal file
@ -0,0 +1,11 @@
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||||
bot-review:
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stage: test
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variables:
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MR_URL: ${CI_MERGE_REQUEST_PROJECT_URL}/-/merge_requests/${CI_MERGE_REQUEST_IID}
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image: docker:latest
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services:
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- docker:19-dind
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script:
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- docker run --rm -e OPENAI.KEY=${OPEN_API_KEY} -e OPENAI.ORG=${OPEN_API_ORG} -e GITLAB.PERSONAL_ACCESS_TOKEN=${GITLAB_PAT} -e CONFIG.GIT_PROVIDER=gitlab codiumai/pr-agent --pr_url ${MR_URL} describe
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rules:
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- if: $CI_COMMIT_BRANCH != $CI_DEFAULT_BRANCH
|
@ -83,7 +83,6 @@ CodiumAI `PR-Agent` is an open-source tool aiming to help developers review pull
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| | Reflect and Review | :white_check_mark: | | |
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| | | | | |
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| USAGE | CLI | :white_check_mark: | :white_check_mark: | :white_check_mark: |
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| | App / webhook | :white_check_mark: | :white_check_mark: | |
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| | Tagging bot | :white_check_mark: | | |
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| | Actions | :white_check_mark: | | |
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| | | | | |
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|
@ -55,7 +55,7 @@ def get_pr_diff(git_provider: GitProvider, token_handler: TokenHandler, model: s
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# if we are over the limit, start pruning
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patches_compressed, modified_file_names, deleted_file_names = \
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pr_generate_compressed_diff(pr_languages, token_handler, model, add_line_numbers_to_hunks)
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pr_generate_compressed_diff(pr_languages, token_handler, add_line_numbers_to_hunks)
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final_diff = "\n".join(patches_compressed)
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if modified_file_names:
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|
@ -27,7 +27,7 @@ class BitbucketProvider:
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self.set_pr(pr_url)
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def is_supported(self, capability: str) -> bool:
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if capability in ['get_issue_comments', 'create_inline_comment', 'publish_inline_comments', 'get_labels']:
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if capability in ['get_issue_comments', 'create_inline_comment', 'publish_inline_comments']:
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return False
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return True
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|
@ -60,10 +60,6 @@ class GitProvider(ABC):
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def publish_labels(self, labels):
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pass
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@abstractmethod
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def get_labels(self):
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pass
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@abstractmethod
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def remove_initial_comment(self):
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pass
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|
@ -322,12 +322,5 @@ class GithubProvider(GitProvider):
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headers, data = self.pr._requester.requestJsonAndCheck(
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"PUT", f"{self.pr.issue_url}/labels", input=post_parameters
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)
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except Exception as e:
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logging.exception(f"Failed to publish labels, error: {e}")
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def get_labels(self):
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try:
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return [label.name for label in self.pr.labels]
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except Exception as e:
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logging.exception(f"Failed to get labels, error: {e}")
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return []
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except:
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logging.exception("Failed to publish labels")
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|
@ -8,15 +8,11 @@ from gitlab import GitlabGetError
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from pr_agent.config_loader import settings
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from ..algo.language_handler import is_valid_file
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from .git_provider import EDIT_TYPE, FilePatchInfo, GitProvider
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logger = logging.getLogger()
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from ..algo.language_handler import is_valid_file
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class GitLabProvider(GitProvider):
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def __init__(self, merge_request_url: Optional[str] = None, incremental: Optional[bool] = False):
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gitlab_url = settings.get("GITLAB.URL", None)
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if not gitlab_url:
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@ -51,12 +47,7 @@ class GitLabProvider(GitProvider):
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def _set_merge_request(self, merge_request_url: str):
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self.id_project, self.id_mr = self._parse_merge_request_url(merge_request_url)
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self.mr = self._get_merge_request()
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try:
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self.last_diff = self.mr.diffs.list(get_all=True)[-1]
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except IndexError as e:
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logger.error(f"Could not get diff for merge request {self.id_mr}")
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raise ValueError(f"Could not get diff for merge request {self.id_mr}") from e
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self.last_diff = self.mr.diffs.list()[-1]
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|
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def _get_pr_file_content(self, file_path: str, branch: str) -> str:
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try:
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@ -121,7 +112,7 @@ class GitLabProvider(GitProvider):
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def create_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str):
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raise NotImplementedError("Gitlab provider does not support creating inline comments yet")
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def create_inline_comments(self, comments: list[dict]):
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def create_inline_comment(self, comments: list[dict]):
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raise NotImplementedError("Gitlab provider does not support publishing inline comments yet")
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def send_inline_comment(self, body, edit_type, found, relevant_file, relevant_line_in_file, source_line_no,
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@ -267,15 +258,8 @@ class GitLabProvider(GitProvider):
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def get_user_id(self):
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return None
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|
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def publish_labels(self, pr_types):
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try:
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self.mr.labels = list(set(pr_types))
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self.mr.save()
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except Exception as e:
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logging.exception(f"Failed to publish labels, error: {e}")
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def publish_inline_comments(self, comments: list[dict]):
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def publish_labels(self, labels):
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pass
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def get_labels(self):
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return self.mr.labels
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def publish_inline_comments(self, comments: list[dict]):
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pass
|
@ -8,61 +8,50 @@ from pr_agent.tools.pr_reviewer import PRReviewer
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||||
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async def run_action():
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# Get environment variables
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GITHUB_EVENT_NAME = os.environ.get('GITHUB_EVENT_NAME')
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GITHUB_EVENT_PATH = os.environ.get('GITHUB_EVENT_PATH')
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OPENAI_KEY = os.environ.get('OPENAI_KEY')
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OPENAI_ORG = os.environ.get('OPENAI_ORG')
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GITHUB_TOKEN = os.environ.get('GITHUB_TOKEN')
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# Check if required environment variables are set
|
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GITHUB_EVENT_NAME = os.environ.get('GITHUB_EVENT_NAME', None)
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if not GITHUB_EVENT_NAME:
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print("GITHUB_EVENT_NAME not set")
|
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return
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GITHUB_EVENT_PATH = os.environ.get('GITHUB_EVENT_PATH', None)
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||||
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:
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||||
print("OPENAI_KEY not set")
|
||||
return
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||||
OPENAI_ORG = os.environ.get('OPENAI_ORG', None)
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||||
GITHUB_TOKEN = os.environ.get('GITHUB_TOKEN', None)
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||||
if not GITHUB_TOKEN:
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||||
print("GITHUB_TOKEN not set")
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return
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||||
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||||
# Set the environment variables in the settings
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||||
settings.set("OPENAI.KEY", OPENAI_KEY)
|
||||
if OPENAI_ORG:
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settings.set("OPENAI.ORG", OPENAI_ORG)
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||||
settings.set("GITHUB.USER_TOKEN", GITHUB_TOKEN)
|
||||
settings.set("GITHUB.DEPLOYMENT_TYPE", "user")
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||||
|
||||
# Load the event payload
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||||
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}")
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||||
return
|
||||
|
||||
# Handle pull request event
|
||||
if GITHUB_EVENT_NAME == "pull_request":
|
||||
action = event_payload.get("action")
|
||||
action = event_payload.get("action", None)
|
||||
if action in ["opened", "reopened"]:
|
||||
pr_url = event_payload.get("pull_request", {}).get("url")
|
||||
pr_url = event_payload.get("pull_request", {}).get("url", None)
|
||||
if pr_url:
|
||||
await PRReviewer(pr_url).review()
|
||||
|
||||
# Handle issue comment event
|
||||
elif GITHUB_EVENT_NAME == "issue_comment":
|
||||
action = event_payload.get("action")
|
||||
action = event_payload.get("action", None)
|
||||
if action in ["created", "edited"]:
|
||||
comment_body = event_payload.get("comment", {}).get("body")
|
||||
comment_body = event_payload.get("comment", {}).get("body", None)
|
||||
if comment_body:
|
||||
pr_url = event_payload.get("issue", {}).get("pull_request", {}).get("url")
|
||||
pr_url = event_payload.get("issue", {}).get("pull_request", {}).get("url", None)
|
||||
if pr_url:
|
||||
body = comment_body.strip().lower()
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||||
await PRAgent().handle_request(pr_url, body)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
asyncio.run(run_action())
|
||||
asyncio.run(run_action())
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||||
|
@ -1,47 +0,0 @@
|
||||
import logging
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||||
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||||
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
|
||||
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||||
app = FastAPI()
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||||
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')
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||||
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)
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||||
|
||||
uvicorn.run(app, host="0.0.0.0", port=3000)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
start()
|
@ -1,7 +1,6 @@
|
||||
import copy
|
||||
import json
|
||||
import logging
|
||||
from typing import Tuple, List
|
||||
|
||||
from jinja2 import Environment, StrictUndefined
|
||||
|
||||
@ -15,22 +14,11 @@ 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(),
|
||||
@ -38,135 +26,67 @@ class PRDescription:
|
||||
"language": self.main_pr_language,
|
||||
"diff": "", # empty diff for initial calculation
|
||||
}
|
||||
|
||||
# Initialize the token handler
|
||||
self.token_handler = TokenHandler(
|
||||
self.git_provider.pr,
|
||||
self.vars,
|
||||
settings.pr_description_prompt.system,
|
||||
settings.pr_description_prompt.user,
|
||||
)
|
||||
|
||||
# Initialize patches_diff and prediction attributes
|
||||
self.token_handler = TokenHandler(self.git_provider.pr,
|
||||
self.vars,
|
||||
settings.pr_description_prompt.system,
|
||||
settings.pr_description_prompt.user)
|
||||
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)
|
||||
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.publish_labels(pr_types)
|
||||
self.git_provider.remove_initial_comment()
|
||||
|
||||
return ""
|
||||
|
||||
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.
|
||||
|
||||
"""
|
||||
async def _prepare_prediction(self, model: str):
|
||||
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) -> 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.
|
||||
"""
|
||||
async def _get_prediction(self, model: str):
|
||||
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) -> 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
|
||||
def _prepare_pr_answer(self):
|
||||
data = json.loads(self.prediction)
|
||||
|
||||
# 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
|
||||
markdown_text = ""
|
||||
for key, value in data.items():
|
||||
markdown_text += f"## {key}\n\n"
|
||||
markdown_text += f"{value}\n\n"
|
||||
|
||||
# If the 'PR Type' key is present in the dictionary, split its value by comma and assign it to 'pr_types'
|
||||
pr_body = ""
|
||||
pr_types = []
|
||||
if 'PR Type' in data:
|
||||
pr_types = data['PR Type'].split(',')
|
||||
|
||||
# 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'
|
||||
title = data['PR Title']
|
||||
del data['PR Title']
|
||||
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
|
||||
return title, pr_body, pr_types, markdown_text
|
||||
|
Reference in New Issue
Block a user