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| author | Daniel Schadt <kingdread@gmx.de> | 2022-12-03 23:30:31 +0100 |
|---|---|---|
| committer | Daniel Schadt <kingdread@gmx.de> | 2022-12-03 23:30:31 +0100 |
| commit | a95a9768135bcaaa856a7cca98409a49250c96fa (patch) | |
| tree | 0675487e6181eed5264bce2db737f3f947963312 /pyproject.toml | |
| parent | 8e8dd9f8a786bc4036dfbe0b70f03724801b8a8f (diff) | |
| download | fietsboek-a95a9768135bcaaa856a7cca98409a49250c96fa.tar.gz fietsboek-a95a9768135bcaaa856a7cca98409a49250c96fa.tar.bz2 fietsboek-a95a9768135bcaaa856a7cca98409a49250c96fa.zip | |
serve gzip compressed GPX data if possible
This way, we not only save the decompression time, we can also save
bandwidth! We *might* even consider using brotli, which seems to be
widely supported and has even better compression ratios, but brotli
compression of full efficiency is also slow.
Ideally, we'd save a "fast compressed" version of the GPX file on
upload, and then have a slower background-queue re-compress them with
higher settings. That however should probably wait till we move the GPX
data out of the database(?!), then we can even serve the data straight
with a FileResponse.
Diffstat (limited to 'pyproject.toml')
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