Description
DataFed is a federated scientific data management system developed by Oak Ridge National Laboratories to facilitate FAIR data practices within supported experimental, compute, and analytics environments. The DataFed Python package provides both a command-line-interface (CLI) and a programming API for interacting with DataFed services.
Developers
For running datafed directly from the source folder located in the DataFed GitHub repository, without running a pip install of the package. Activate the python env. This might be installed at /opt/datafed/dependencies/python/bin if you used DataFed's provided dependency install scripts with the default location.
source /opt/datafed/dependencies/python/bin/activate
Run the following from the root of the DataFed repo. The generate_datafed script will generate default settings. the ENABLE_PYTHON_CLIENT is to make sure you actually build the python client. Many other default flags may be turned on, you can disable them if needed.
The build target will "pydatafed" is needed for compiling the protobuf files to python, you will need protobuf to be installed.
NOTE - You will need to rerun this command any times changes are made to the .proto files.
./scripts/generated_datafed.sh
/opt/datafed/dependencies/bin/cmake -S. -B build -DENABLE_PYTHON_CLIENT=ON
/opt/datafed/dependencies/bin/cmake --build build --target pydatafed
Move into the python/datafed_pkg folder and then you can execute the python cli tool directly with.
PYTHON_PATH=. ./scripts/datafed
3 maintainers
Metadata
3 maintainers
Release files for datafed 5.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| datafed-5.1.0.tar.gz | 85.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datafed-5.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 296.1 kB
Release files / datafed-5.1.0.tar.gz
| Download URL | datafed-5.1.0.tar.gz |
|---|---|
| Size | 85.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
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Release files / datafed-5.1.0-py3-none-any.whl
| Download URL | datafed-5.1.0-py3-none-any.whl |
|---|---|
| Size | 210.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8334f265671c4966f33b045993788ef1e690b5030de122b7c0ab2e34df66bb8f
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BLAKE2b-256 checksum How to use checksums |
6fe2ee8b7d85c3025b8ed48c66f21b79c48fda989767c9478dbfca0fb90a4928
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
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Security for datafed 5.1.0
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