Merge remote-tracking branch 'origin/main'

This commit is contained in:
mrT23
2024-06-19 08:30:55 +03:00
11 changed files with 211 additions and 19 deletions

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@ -235,7 +235,7 @@ class BitbucketProvider(GitProvider):
except Exception as e:
get_logger().exception(f"Failed to remove comment, error: {e}")
# funtion to create_inline_comment
# function to create_inline_comment
def create_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str, absolute_position: int = None):
position, absolute_position = find_line_number_of_relevant_line_in_file(self.get_diff_files(),
relevant_file.strip('`'),
@ -404,7 +404,7 @@ class BitbucketProvider(GitProvider):
def get_commit_messages(self):
return "" # not implemented yet
# bitbucket does not support labels
def publish_description(self, pr_title: str, description: str):
payload = json.dumps({
@ -424,7 +424,7 @@ class BitbucketProvider(GitProvider):
# bitbucket does not support labels
def publish_labels(self, pr_types: list):
pass
# bitbucket does not support labels
def get_pr_labels(self, update=False):
pass

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@ -211,7 +211,7 @@ class BitbucketServerProvider(GitProvider):
def remove_comment(self, comment):
pass
# funtion to create_inline_comment
# function to create_inline_comment
def create_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str,
absolute_position: int = None):

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@ -107,7 +107,7 @@ class GithubProvider(GitProvider):
git_files = context.get("git_files", None)
if git_files:
return git_files
self.git_files = list(self.pr.get_files()) # 'list' to hanlde pagination
self.git_files = list(self.pr.get_files()) # 'list' to handle pagination
context["git_files"] = self.git_files
return self.git_files
except Exception:

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@ -41,7 +41,7 @@ def handle_request(
):
log_context["action"] = body
log_context["api_url"] = url
async def inner():
try:
with get_logger().contextualize(**log_context):
@ -89,7 +89,7 @@ async def handle_webhook(background_tasks: BackgroundTasks, request: Request):
get_logger().info(json.dumps(data))
actions = []
if data["eventType"] == "git.pullrequest.created":
if data["eventType"] == "git.pullrequest.created":
# API V1 (latest)
pr_url = unquote(data["resource"]["_links"]["web"]["href"].replace("_apis/git/repositories", "_git"))
log_context["event"] = data["eventType"]
@ -102,7 +102,7 @@ async def handle_webhook(background_tasks: BackgroundTasks, request: Request):
repo = data["resource"]["pullRequest"]["repository"]["webUrl"]
pr_url = unquote(f'{repo}/pullrequest/{data["resource"]["pullRequest"]["pullRequestId"]}')
actions = [data["resource"]["comment"]["content"]]
else:
else:
# API V1 not supported as it does not contain the PR URL
return JSONResponse(
status_code=status.HTTP_400_BAD_REQUEST,
@ -120,7 +120,7 @@ async def handle_webhook(background_tasks: BackgroundTasks, request: Request):
log_context["event"] = data["eventType"]
log_context["api_url"] = pr_url
for action in actions:
try:
handle_request(background_tasks, pr_url, action, log_context)
@ -131,13 +131,13 @@ async def handle_webhook(background_tasks: BackgroundTasks, request: Request):
content=json.dumps({"message": "Internal server error"}),
)
return JSONResponse(
status_code=status.HTTP_202_ACCEPTED, content=jsonable_encoder({"message": "webhook triggerd successfully"})
status_code=status.HTTP_202_ACCEPTED, content=jsonable_encoder({"message": "webhook triggered successfully"})
)
@router.get("/")
async def root():
return {"status": "ok"}
def start():
app = FastAPI(middleware=[Middleware(RawContextMiddleware)])
app.include_router(router)

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@ -0,0 +1,191 @@
import multiprocessing
import os
# from prometheus_client import multiprocess
# Sample Gunicorn configuration file.
#
# Server socket
#
# bind - The socket to bind.
#
# A string of the form: 'HOST', 'HOST:PORT', 'unix:PATH'.
# An IP is a valid HOST.
#
# backlog - The number of pending connections. This refers
# to the number of clients that can be waiting to be
# served. Exceeding this number results in the client
# getting an error when attempting to connect. It should
# only affect servers under significant load.
#
# Must be a positive integer. Generally set in the 64-2048
# range.
#
# bind = '0.0.0.0:5000'
bind = '0.0.0.0:3000'
backlog = 2048
#
# Worker processes
#
# workers - The number of worker processes that this server
# should keep alive for handling requests.
#
# A positive integer generally in the 2-4 x $(NUM_CORES)
# range. You'll want to vary this a bit to find the best
# for your particular application's work load.
#
# worker_class - The type of workers to use. The default
# sync class should handle most 'normal' types of work
# loads. You'll want to read
# http://docs.gunicorn.org/en/latest/design.html#choosing-a-worker-type
# for information on when you might want to choose one
# of the other worker classes.
#
# A string referring to a Python path to a subclass of
# gunicorn.workers.base.Worker. The default provided values
# can be seen at
# http://docs.gunicorn.org/en/latest/settings.html#worker-class
#
# worker_connections - For the eventlet and gevent worker classes
# this limits the maximum number of simultaneous clients that
# a single process can handle.
#
# A positive integer generally set to around 1000.
#
# timeout - If a worker does not notify the master process in this
# number of seconds it is killed and a new worker is spawned
# to replace it.
#
# Generally set to thirty seconds. Only set this noticeably
# higher if you're sure of the repercussions for sync workers.
# For the non sync workers it just means that the worker
# process is still communicating and is not tied to the length
# of time required to handle a single request.
#
# keepalive - The number of seconds to wait for the next request
# on a Keep-Alive HTTP connection.
#
# A positive integer. Generally set in the 1-5 seconds range.
#
if os.getenv('GUNICORN_WORKERS', None):
workers = int(os.getenv('GUNICORN_WORKERS'))
else:
cores = multiprocessing.cpu_count()
workers = cores * 2 + 1
worker_connections = 1000
timeout = 240
keepalive = 2
#
# spew - Install a trace function that spews every line of Python
# that is executed when running the server. This is the
# nuclear option.
#
# True or False
#
spew = False
#
# Server mechanics
#
# daemon - Detach the main Gunicorn process from the controlling
# terminal with a standard fork/fork sequence.
#
# True or False
#
# raw_env - Pass environment variables to the execution environment.
#
# pidfile - The path to a pid file to write
#
# A path string or None to not write a pid file.
#
# user - Switch worker processes to run as this user.
#
# A valid user id (as an integer) or the name of a user that
# can be retrieved with a call to pwd.getpwnam(value) or None
# to not change the worker process user.
#
# group - Switch worker process to run as this group.
#
# A valid group id (as an integer) or the name of a user that
# can be retrieved with a call to pwd.getgrnam(value) or None
# to change the worker processes group.
#
# umask - A mask for file permissions written by Gunicorn. Note that
# this affects unix socket permissions.
#
# A valid value for the os.umask(mode) call or a string
# compatible with int(value, 0) (0 means Python guesses
# the base, so values like "0", "0xFF", "0022" are valid
# for decimal, hex, and octal representations)
#
# tmp_upload_dir - A directory to store temporary request data when
# requests are read. This will most likely be disappearing soon.
#
# A path to a directory where the process owner can write. Or
# None to signal that Python should choose one on its own.
#
daemon = False
raw_env = []
pidfile = None
umask = 0
user = None
group = None
tmp_upload_dir = None
#
# Logging
#
# logfile - The path to a log file to write to.
#
# A path string. "-" means log to stdout.
#
# loglevel - The granularity of log output
#
# A string of "debug", "info", "warning", "error", "critical"
#
errorlog = '-'
loglevel = 'info'
accesslog = None
access_log_format = '%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s "%(f)s" "%(a)s"'
#
# Process naming
#
# proc_name - A base to use with setproctitle to change the way
# that Gunicorn processes are reported in the system process
# table. This affects things like 'ps' and 'top'. If you're
# going to be running more than one instance of Gunicorn you'll
# probably want to set a name to tell them apart. This requires
# that you install the setproctitle module.
#
# A string or None to choose a default of something like 'gunicorn'.
#
proc_name = None
#
# Server hooks
#
# post_fork - Called just after a worker has been forked.
#
# A callable that takes a server and worker instance
# as arguments.
#
# pre_fork - Called just prior to forking the worker subprocess.
#
# A callable that accepts the same arguments as after_fork
#
# pre_exec - Called just prior to forking off a secondary
# master process during things like config reloading.
#
# A callable that takes a server instance as the sole argument.
#

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@ -40,8 +40,8 @@ After that, rank each response. Criterions to rank each response:
- How well does the response follow the specific task instructions and requirements?
- How well does the response analyze and understand the PR code diff?
- How well will a person perceive it as a good response that correctly addresses the task?
- How well does the reponse prioritize key feedback, related to the task instructions, that a human reader seeing that feedback would also consider as important?
- Don't neccessarily rank higher a response that is longer. A shorter response might be better if it is more concise, and still addresses the task better.
- How well does the response prioritize key feedback, related to the task instructions, that a human reader seeing that feedback would also consider as important?
- Don't necessarily rank higher a response that is longer. A shorter response might be better if it is more concise, and still addresses the task better.
The output must be a YAML object equivalent to type $PRRankRespones, according to the following Pydantic definitions:

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@ -73,7 +73,7 @@ class Review(BaseModel):
security_concerns: str = Field(description="does this PR code introduce possible vulnerabilities such as exposure of sensitive information (e.g., API keys, secrets, passwords), or security concerns like SQL injection, XSS, CSRF, and others ? Answer 'No' if there are no possible issues. If there are security concerns or issues, start your answer with a short header, such as: 'Sensitive information exposure: ...', 'SQL injection: ...' etc. Explain your answer. Be specific and give examples if possible")
{%- endif %}
{%- if require_can_be_split_review %}
can_be_split: List[SubPR] = Field(min_items=0, max_items=3, description="Can this PR, which contains {{ num_pr_files }} changed files in total, be divided into smaller sub-PRs with distinct tasks that can be reviewed and merged independently, regardless of the order ? Make sure that the sub-PRs are indeed independent, with no code dependencies between them, and that each sub-PR represent a meaningfull independent task. Output an empty list if the PR code does not needd to be split.")
can_be_split: List[SubPR] = Field(min_items=0, max_items=3, description="Can this PR, which contains {{ num_pr_files }} changed files in total, be divided into smaller sub-PRs with distinct tasks that can be reviewed and merged independently, regardless of the order ? Make sure that the sub-PRs are indeed independent, with no code dependencies between them, and that each sub-PR represent a meaningful independent task. Output an empty list if the PR code does not need to be split.")
{%- endif %}
{%- if num_code_suggestions > 0 %}