pystac | Python library for working with any SpatioTemporal Asset
kandi X-RAY | pystac Summary
kandi X-RAY | pystac Summary
PySTAC is a library for working with SpatioTemporal Asset Catalog in Python 3.
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Top functions reviewed by kandi - BETA
- Returns a mapping of the schema to the corresponding schema .
- Merges common properties .
- Return the template value for a given template .
- Saves this catalog .
- Create an Extent from an iterable of items .
- Validate a STAC dictionary .
- Resolve the STAC object .
- Return a mapping of removed extensions to removed extensions .
- Returns a full copy of this STACObject .
- Identify STAC Object Type .
pystac Key Features
pystac Examples and Code Snippets
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QUESTION
I've been working on a project which so far has just involved building some cloud infrastructure, and now I'm trying to add a CLI to simplify running some AWS Lambdas. Unfortunately both the sdist and wheel packages built using poetry build
don't seem to include the dependencies, so I have to manually pip install
all of them to run the command. Basically I
- run
poetry build
in the project, cd "$(mktemp --directory)"
,python -m venv .venv
,. .venv/bin/activate
,pip install /path/to/result/of/poetry/build/above
, and then- run the new .venv/bin/ executable.
At this point the executable fails, because pip
did not install any of the package dependencies. If I pip show PACKAGE
the Requires
line is empty.
The Poetry manual doesn't seem to specify how to link dependencies to the built package, so what do I have to do instead?
I am using some optional dependencies, could that be interfering with the build process? To be clear, even non-optional dependencies do not show up in the package dependencies.
pyproject.toml:
...ANSWER
Answered 2021-Nov-04 at 02:15This appears to be a bug in Poetry. Or at least it's not clear from the documentation what the expected behavior would be in a case such as yours.
In your pyproject.toml
, you specify two dependencies as required in this section:
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Install pystac
There is a quickstart and tutorials written as jupyter notebooks in the docs/tutorials folder. To run the notebooks, run a jupyter notebook with the docs directory as the notebook directory:. You can then navigate to the notebooks and execute them. Requires Jupyter be installed.
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