'plotly' package contains 123MB of autogenerated code
Thank you for plotly.py, it's definitely worked well for us in our app!
We're deploying our app's backend to AWS lambda, packaging dependencies in a "layer" which has a 256MB size limit. We are hitting this limit. Unfortunately, plotly's Python library is huge: for the version we're using there (4.14.3), it ends up being 58MB of Python source, and ~19MB of JavaScript (plotly.min.js, and then the Jupyter plugin). The python source seems to be almost entirely the auto-generated (AIUI) graph_objs and validators subdirectories. To reduce size, we've removed the JavaScript files, because the lambdas don't use any of that, however that still leaves the significant amount of Python code.
To make this more concrete, here's the numbers for the latest version on my Mac:
$ pip install plotly==5.1.0
...
$ pip show plotly
...
Location: /SOME/PATH/.../site-packages
...
$ cd /SOME/PATH/.../site-packages # copied from the command above
$ du -sch plotly/* | sort -h
4.0K plotly/_version.py
4.0K plotly/_widget_version.py
4.0K plotly/animation.py
4.0K plotly/config.py
4.0K plotly/conftest.py
4.0K plotly/dashboard_objs.py
4.0K plotly/exceptions.py
4.0K plotly/files.py
4.0K plotly/grid_objs.py
4.0K plotly/missing_ipywidgets.py
4.0K plotly/optional_imports.py
4.0K plotly/presentation_objs.py
4.0K plotly/serializers.py
4.0K plotly/session.py
4.0K plotly/validator_cache.py
4.0K plotly/version.py
4.0K plotly/widgets.py
8.0K plotly/__init__.py
8.0K plotly/callbacks.py
8.0K plotly/colors
8.0K plotly/utils.py
12K plotly/shapeannotation.py
16K plotly/data
16K plotly/plotly
24K plotly/graph_objects
28K plotly/tools.py
36K plotly/basewidget.py
52K plotly/subplots.py
76K plotly/offline
220K plotly/basedatatypes.py
264K plotly/matplotlylib
340K plotly/__pycache__
344K plotly/express
364K plotly/io
664K plotly/figure_factory
3.5M plotly/package_data
43M plotly/graph_objs
80M plotly/validators
129M total
That is, 123MiB/129MiB (95%) of the package size is the autogenerated graph_objs and validators submodules.
Since these are autogenerated, potentially they could be autogenerated in a way that makes them significantly smaller without changing behaviour or structure. Some ideas:
- reduce unnecessary whitespace, like empty lines, and, particularly, leading whitespace in doc strings (and potentially other multiline strings) or indentation (one space is enough, rather than 4)
- other minification techniques, like those supported by https://pypi.org/project/python-minifier
These will require disabling black and generally make the files harder to read, but I don't think they're designed to be human readable anyway?
(There's also other possibilities like combining multiple files into one, allowing sharing imports, but this is probably only a small win, and will require changing other code.)
For example, starting with https://github.com/plotly/plotly.py/blob/v5.1.0/packages/python/plotly/plotly/graph_objs/bar/_stream.py one could save ~20%: https://gist.github.com/huonw/4b81b6825ebd508bbcd39f4bb2215f4e
| state | size (bytes) | relative size |
|---|---|---|
| original | 4104 | 100% |
| no leading whitespace in doc-strings | 3792 | 92% |
no empty lines or lines with only # ---- comments |
3522 | 86% |
| 1 space indent | 3201 | 78% |
Assuming this 20% decrease generalises across all the autogenerated files, this would cut nearly 25MB off the 129M package.
(Thanks again for plotly!)
Thanks for the deep look at this issue! @jonmmease what do you think? I think we could probably implement a lot of this so long as the docstrings are still readable, right?
Thanks for the quick response!
Two other potential options I thought of over the weekend could be:
- compress the files (e.g.
gzip -9 -c _stream.py | wc -creports 1163, i.e. less than 30% of the original), and lazily decompress andexecthem on import, somehow (might require Python 3.7) - place all the autogenerated files into a single zip file, and leverage https://docs.python.org/3/library/zipimport.html to import them, although this may require modifying
sys.pathin a way that may be fragile to support Python 3.6 (whereas Python 3.7+ might be able to be fancier and usezipimport.zipimporter.load_moduledirectly)
Thanks for taking a look at this @huonw. I'd have no problem running the generated code through a minimizer instead of black if that's helpful. The compression approaches would carry a bit more breakage risk I think, so that take some care.
The biggest wins would probably be in detecting the use of identical objects throughout the figure hierarchy and sharing those classes.
Just a status check: this appears to have crept upwards (123MB in 5.1 -> 128MB in 5.8) with both graph_objs. and validators:
pip install --target=/tmp/plotly/ plotly==5.8.0
du -sch /tmp/plotly/plotly/* | sort -h
Output:
4.0K /tmp/plotly/plotly/_version.py
4.0K /tmp/plotly/plotly/_widget_version.py
4.0K /tmp/plotly/plotly/animation.py
4.0K /tmp/plotly/plotly/config.py
4.0K /tmp/plotly/plotly/conftest.py
4.0K /tmp/plotly/plotly/dashboard_objs.py
4.0K /tmp/plotly/plotly/exceptions.py
4.0K /tmp/plotly/plotly/files.py
4.0K /tmp/plotly/plotly/grid_objs.py
4.0K /tmp/plotly/plotly/missing_ipywidgets.py
4.0K /tmp/plotly/plotly/optional_imports.py
4.0K /tmp/plotly/plotly/presentation_objs.py
4.0K /tmp/plotly/plotly/serializers.py
4.0K /tmp/plotly/plotly/session.py
4.0K /tmp/plotly/plotly/validator_cache.py
4.0K /tmp/plotly/plotly/version.py
4.0K /tmp/plotly/plotly/widgets.py
8.0K /tmp/plotly/plotly/__init__.py
8.0K /tmp/plotly/plotly/callbacks.py
8.0K /tmp/plotly/plotly/colors
8.0K /tmp/plotly/plotly/utils.py
12K /tmp/plotly/plotly/shapeannotation.py
12K /tmp/plotly/plotly/subplots.py
16K /tmp/plotly/plotly/data
16K /tmp/plotly/plotly/plotly
20K /tmp/plotly/plotly/graph_objects
28K /tmp/plotly/plotly/tools.py
36K /tmp/plotly/plotly/basewidget.py
52K /tmp/plotly/plotly/_subplots.py
76K /tmp/plotly/plotly/offline
220K /tmp/plotly/plotly/basedatatypes.py
264K /tmp/plotly/plotly/matplotlylib
352K /tmp/plotly/plotly/__pycache__
368K /tmp/plotly/plotly/io
380K /tmp/plotly/plotly/express
668K /tmp/plotly/plotly/figure_factory
3.7M /tmp/plotly/plotly/package_data
45M /tmp/plotly/plotly/graph_objs
84M /tmp/plotly/plotly/validators
135M total
(As always, thank you for plotly.)
Any news on this? It's making it difficult to deploy AWS Lambda functions containing plotly, even when zipped.