-
Notifications
You must be signed in to change notification settings - Fork 1
/
gunicorn_loguru.conf.py
253 lines (221 loc) · 7.44 KB
/
gunicorn_loguru.conf.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
"""Gunicorn configuration file.
List of all available settings:
https://docs.gunicorn.org/en/latest/settings.html
"""
import os
# 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 = "{host}:{port}".format(
host=os.getenv("FASTAPI_HOST", "127.0.0.1"),
port=os.getenv("FASTAPI_PORT", "8000"),
)
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.
#
# reload - Restart workers when code changes.
#
# True or False
workers = int(os.getenv("FASTAPI_WORKERS", 2))
worker_class = "uvicorn.workers.UvicornWorker"
worker_connections = 1000
timeout = 30
keepalive = 2
reload = False
#
# 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 = [
# 'DJANGO_SECRET_KEY=something',
# 'SPAM=eggs',
# ]
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 = os.getenv("FASTAPI_GUNICORN_LOG_LEVEL", "info")
accesslog = "-"
access_log_format = os.getenv(
"FASTAPI_GUNICORN_LOG_FORMAT",
'%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s "%(f)s" "%(a)s"',
)
#
# Use custom class to make logs from Gunicorn be handled by Loguru
#
logger_class = "mvc_demo.core.loguru_logs.StubbedGunicornLogger"
#
# 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.
#
def post_fork(server, worker):
"""Execute after a worker is forked."""
server.log.info("Worker spawned (pid: %s)", worker.pid)
def pre_fork(server, worker):
"""Execute before a worker is forked."""
pass
def pre_exec(server):
"""Execute before a new master process is forked."""
server.log.info("Forked child, re-executing.")
def when_ready(server):
"""Execute just after the server is started."""
server.log.info("Server is ready. Spawning workers")
def worker_int(worker):
"""Execute just after a worker exited on SIGINT or SIGQUIT."""
worker.log.info("worker received INT or QUIT signal")
# get traceback info
import threading
import sys
import traceback
id2name = {th.ident: th.name for th in threading.enumerate()}
code = []
for threadId, stack in sys._current_frames().items():
code.append(
"\n# Thread: %s(%d)" % (id2name.get(threadId, ""), threadId)
)
for filename, lineno, name, line in traceback.extract_stack(stack):
code.append('File: "%s", line %d, in %s' % (filename, lineno, name))
if line:
code.append(" %s" % (line.strip()))
worker.log.debug("\n".join(code))
def worker_abort(worker):
"""Execute when worker received the SIGABRT signal."""
worker.log.info("worker received SIGABRT signal")