datago

A golang-based data loader which can be used from Python. Compatible with a soon-to-be open sourced VectorDB-enabled data stack, which exposes HTTP requests.

Datago handles, outside of the Python GIL

• per sample IO from object storage
• deserialization (jpg and png decompression)
• some optional vision processing (aligning different image payloads)
• optional serialization

Samples are exposed in the Python scope as python native objects, using PIL and Numpy base types. Speed will be network dependent, but GB/s is typical.

Datago is rank and world-size aware, in which case the samples are dispatched depending on the samples hash.

Use it

Use the package from Python

from datago import datago

config = datago.GetDefaultConfig()
# Check out the config fields, plenty of option to specify your DB query and optimize performance

client = datago.GetClient(config)
client.Start()  # This can be done early for convenience, not mandatory (can fetch samples while models are instanciated for intance)

for _ in range(10):
    sample = client.GetSample() # This start the client if not previously done, in that case latency for the first sample is higher

Please note that the image buffers will be passed around as raw pointers, they can be re-interpreted in python with the attached helpers

Match the raw exported buffers with typical python types

See helper functions provided in polyglot.py, should be self explanatory

Build it

Install deps

$ sudo apt install golang libjpeg-turbo8-dev libvips-dev
$ sudo ldconfig

Build a benchmark CLI

From the root of this project datago_src:

$ go build cmd/main/main.go

Running it:

$ ./main --help` will tell you all about it

Running it with additional sanity checks

$ go run -race cmd/main/main.go

Run the go test suite

From the src folder

$ go test -v tests/client_test.go

Refresh the python package and its binaries

• Install the dependencies as detailed in the next point
• Run the generate_python_package.sh script

Generate the python package binaries manually

$ python3 -m pip install pybindgen
$ go install golang.org/x/tools/cmd/goimports@latest
$ go install github.com/go-python/gopy@latest
$ go install golang.org/x/image/draw

NOTE:

• you may need to add ~/go/bin to your PATH so that gopy is found.
• • Either export PATH=$PATH:~/go/bin or add it to your .bashrc
• you may need this to make sure that LDD looks at the current folder export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:.

then from the /pkg/client folder:

$ gopy pkg -author="Photoroom" -email="team@photoroom.com" -url="" -name="datago" -version="0.0.1" .

then you can pip install -e . from here.

Update the pypi release (maintainers)

python3 setup.py sdist
python3 -m twine upload dist/* --verbose

License

MIT License

Copyright (c) 2024 Photoroom

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.