mirror of
https://github.com/qodo-ai/pr-agent.git
synced 2025-07-02 03:40:38 +08:00
Support running GitHub App using gunicorn, adjust Dockerfile accordingly
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@ -8,7 +8,7 @@ ENV PYTHONPATH=/app
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FROM base as github_app
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ADD pr_agent pr_agent
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CMD ["python", "pr_agent/servers/github_app.py"]
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CMD ["python", "-m", "gunicorn", "-k", "uvicorn.workers.UvicornWorker", "-c", "pr_agent/servers/gunicorn_config.py", "--forwarded-allow-ips", "*", "pr_agent.servers.github_app:app"]
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FROM base as bitbucket_app
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ADD pr_agent pr_agent
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191
pr_agent/servers/gunicorn_config.py
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191
pr_agent/servers/gunicorn_config.py
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@ -0,0 +1,191 @@
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import multiprocessing
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import os
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# from prometheus_client import multiprocess
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# Sample Gunicorn configuration file.
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#
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# Server socket
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#
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# bind - The socket to bind.
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#
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# A string of the form: 'HOST', 'HOST:PORT', 'unix:PATH'.
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# An IP is a valid HOST.
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#
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# backlog - The number of pending connections. This refers
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# to the number of clients that can be waiting to be
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# served. Exceeding this number results in the client
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# getting an error when attempting to connect. It should
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# only affect servers under significant load.
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#
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# Must be a positive integer. Generally set in the 64-2048
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# range.
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#
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# bind = '0.0.0.0:5000'
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bind = '0.0.0.0:3000'
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backlog = 2048
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#
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# Worker processes
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#
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# workers - The number of worker processes that this server
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# should keep alive for handling requests.
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#
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# A positive integer generally in the 2-4 x $(NUM_CORES)
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# range. You'll want to vary this a bit to find the best
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# for your particular application's work load.
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#
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# worker_class - The type of workers to use. The default
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# sync class should handle most 'normal' types of work
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# loads. You'll want to read
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# http://docs.gunicorn.org/en/latest/design.html#choosing-a-worker-type
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# for information on when you might want to choose one
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# of the other worker classes.
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#
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# A string referring to a Python path to a subclass of
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# gunicorn.workers.base.Worker. The default provided values
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# can be seen at
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# http://docs.gunicorn.org/en/latest/settings.html#worker-class
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#
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# worker_connections - For the eventlet and gevent worker classes
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# this limits the maximum number of simultaneous clients that
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# a single process can handle.
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#
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# A positive integer generally set to around 1000.
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#
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# timeout - If a worker does not notify the master process in this
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# number of seconds it is killed and a new worker is spawned
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# to replace it.
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#
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# Generally set to thirty seconds. Only set this noticeably
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# higher if you're sure of the repercussions for sync workers.
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# For the non sync workers it just means that the worker
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# process is still communicating and is not tied to the length
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# of time required to handle a single request.
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#
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# keepalive - The number of seconds to wait for the next request
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# on a Keep-Alive HTTP connection.
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#
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# A positive integer. Generally set in the 1-5 seconds range.
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#
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if os.getenv('GUNICORN_WORKERS', None):
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workers = int(os.getenv('GUNICORN_WORKERS'))
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else:
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cores = multiprocessing.cpu_count()
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workers = cores * 2 + 1
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worker_connections = 1000
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timeout = 240
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keepalive = 2
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#
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# spew - Install a trace function that spews every line of Python
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# that is executed when running the server. This is the
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# nuclear option.
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#
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# True or False
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#
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spew = False
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#
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# Server mechanics
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#
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# daemon - Detach the main Gunicorn process from the controlling
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# terminal with a standard fork/fork sequence.
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#
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# True or False
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#
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# raw_env - Pass environment variables to the execution environment.
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#
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# pidfile - The path to a pid file to write
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#
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# A path string or None to not write a pid file.
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#
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# user - Switch worker processes to run as this user.
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#
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# A valid user id (as an integer) or the name of a user that
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# can be retrieved with a call to pwd.getpwnam(value) or None
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# to not change the worker process user.
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#
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# group - Switch worker process to run as this group.
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#
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# A valid group id (as an integer) or the name of a user that
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# can be retrieved with a call to pwd.getgrnam(value) or None
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# to change the worker processes group.
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#
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# umask - A mask for file permissions written by Gunicorn. Note that
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# this affects unix socket permissions.
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#
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# A valid value for the os.umask(mode) call or a string
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# compatible with int(value, 0) (0 means Python guesses
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# the base, so values like "0", "0xFF", "0022" are valid
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# for decimal, hex, and octal representations)
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#
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# tmp_upload_dir - A directory to store temporary request data when
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# requests are read. This will most likely be disappearing soon.
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#
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# A path to a directory where the process owner can write. Or
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# None to signal that Python should choose one on its own.
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#
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daemon = False
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raw_env = []
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pidfile = None
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umask = 0
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user = None
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group = None
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tmp_upload_dir = None
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#
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# Logging
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#
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# logfile - The path to a log file to write to.
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#
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# A path string. "-" means log to stdout.
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#
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# loglevel - The granularity of log output
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#
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# A string of "debug", "info", "warning", "error", "critical"
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#
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errorlog = '-'
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loglevel = 'info'
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accesslog = None
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access_log_format = '%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s "%(f)s" "%(a)s"'
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#
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# Process naming
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#
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# proc_name - A base to use with setproctitle to change the way
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# that Gunicorn processes are reported in the system process
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# table. This affects things like 'ps' and 'top'. If you're
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# going to be running more than one instance of Gunicorn you'll
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# probably want to set a name to tell them apart. This requires
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# that you install the setproctitle module.
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#
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# A string or None to choose a default of something like 'gunicorn'.
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#
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proc_name = None
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#
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# Server hooks
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#
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# post_fork - Called just after a worker has been forked.
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#
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# A callable that takes a server and worker instance
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# as arguments.
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#
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# pre_fork - Called just prior to forking the worker subprocess.
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#
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# A callable that accepts the same arguments as after_fork
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#
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# pre_exec - Called just prior to forking off a secondary
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# master process during things like config reloading.
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#
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# A callable that takes a server instance as the sole argument.
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#
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@ -24,6 +24,7 @@ tiktoken==0.7.0
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ujson==5.8.0
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uvicorn==0.22.0
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tenacity==8.2.3
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gunicorn==20.1.0
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# Uncomment the following lines to enable the 'similar issue' tool
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# pinecone-client
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# pinecone-datasets @ git+https://github.com/mrT23/pinecone-datasets.git@main
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