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Description:

importfiler 0.0.2

importfiler
Profile your imports, find what is dragging your module load time.
importfiler builds on top of the output generated by the interpreter -X importtime traces.
It is just a different output targeted more at a specific use-case. Finding what modules impact
the longest on a specific one you are trying to optimize.
If you need a more detailed result, check out py-spy or any other runtime profiler.
Getting dependencies import time
Given an import, shows the the time spent importing direct dependencies.
The import time does include the time spent on importing other modules.
This helps you finding the most time consuming imports in your library/app.
Examples:
$ python -m importfiler requests
modules: time(%)
------------------- --------
requests 100 %
urllib3 61 %
charset_normalizer 11 %
http.cookiejar 10 %
idna 2 %
certifi 2 %
http.cookies 1 %
zipfile 1 %

Getting the time in milliseconds:
$ python -m importfiler --unit=ms requests
modules: time(ms)
------------------- ---------
requests 48 ms
urllib3 29 ms
charset_normalizer 5 ms
http.cookiejar 4 ms
idna 1 ms
certifi 1 ms

Getting all_modules import time
Given an import, shows the the time spent loading all its dependencies (including transitive).
The import time does not include the time spent on importing other modules.
This helps you finding the most time consuming modules across your chain of dependencies.
Examples:
$ python -m importfiler --mode="all_modules" requests
modules: time (%) submodules
-------------------- -------------------- --------------------
urllib3 17 % urllib3.util.url, urllib3.packages.six, urllib3.exceptions, urllib3.poolmanager, ...
email 7 % email._policybase, email.message, email.header, email.feedparser, ...
charset_normalizer 6 % charset_normalizer.constant, charset_normalizer.models, charset_normalizer.cd, ...
requests 6 % requests.utils, requests.models, requests.exceptions, requests.packages, ...
http 6 % http.cookiejar, http.client, http.cookies
urllib 4 % urllib.request, urllib.parse, urllib.error, urllib.response
typing 3 %
ssl 2 %
importlib 2 % importlib.resources._adapters, importlib.resources.abc, importlib.resources._common, ...
re 2 % re._parser, re._compiler, re._constants, re._casefix

Getting the time in milliseconds:
$ python -m importfiler --mode="all_modules" --unit=ms requests
modules: time (ms) submodules
-------------------- -------------------- --------------------
urllib3 18 ms urllib3.util.url, urllib3.packages.six, urllib3.exceptions, urllib3.connectionpool, ...
charset_normalizer 8 ms charset_normalizer.md__mypyc, charset_normalizer.constant, charset_normalizer.models, ...
requests 7 ms requests.utils, requests.exceptions, requests.models, requests.packages, ...
email 3 ms email._policybase, email.header, email.feedparser, email.utils, ...
http 3 ms http.cookiejar, http.cookies, http.client
idna 2 ms idna.core, idna.idnadata, idna.package_data, idna.intranges
urllib 1 ms urllib.request, urllib.parse, urllib.error, urllib.response
importlib 1 ms importlib.resources._adapters, importlib.resources.abc, importlib.resources._common, ...
typing 1 ms
ssl 1 ms
re 1 ms re._parser, re._compiler, re._constants, re._casefix