mirror of https://github.com/gsi-upm/senpy
Several changes
* Add flag to run tests (and exit, or run the server) * Add ntriples outformat * Modify dependency installation logic to avoid installing several times * Add encoded URLs as base/prefix * Allow plugin activation to failmock-requests 0.10.9
commit
a3eb8f196c
@ -0,0 +1,10 @@
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version: '3'
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services:
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senpy:
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image: "${IMAGENAME-gsiupm/senpy}:${VERSION-latest}"
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entrypoint: ["/bin/bash"]
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working_dir: "/senpy-plugins"
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ports:
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- 5000:5000
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volumes:
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- ".:/usr/src/app/"
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@ -0,0 +1,9 @@
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version: '3'
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services:
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test:
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image: "${IMAGENAME-gsiupm/senpy}:${VERSION-dev}"
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entrypoint: ["py.test"]
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volumes:
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- ".:/usr/src/app/"
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command:
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[]
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@ -0,0 +1,11 @@
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version: '3'
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services:
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senpy:
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image: "${IMAGENAME-gsiupm/senpy}:${VERSION-dev}"
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build:
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context: .
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dockerfile: Dockerfile${PYVERSION--2.7}
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ports:
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- 5001:5000
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volumes:
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- "./data:/data"
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@ -0,0 +1,23 @@
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import logging
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logger = logging.getLogger(__name__)
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MSG = 'GSITK is not (properly) installed.'
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IMPORTMSG = '{} Some functions will be unavailable.'.format(MSG)
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RUNMSG = '{} Install it to use this function.'.format(MSG)
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def raise_exception(*args, **kwargs):
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raise Exception(RUNMSG)
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try:
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from gsitk.datasets.datasets import DatasetManager
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from gsitk.evaluation.evaluation import Evaluation as Eval
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from sklearn.pipeline import Pipeline
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GSITK_AVAILABLE = True
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modules = locals()
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except ImportError:
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logger.warn(IMPORTMSG)
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GSITK_AVAILABLE = False
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DatasetManager = Eval = Pipeline = raise_exception
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