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ELM-based ordinance retrieval and extraction #5

ELM-based ordinance retrieval and extraction

ELM-based ordinance retrieval and extraction #5

Workflow file for this run

name: pytests-ords
on: pull_request
jobs:
build:
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
python-version: [3.11]
steps:
- uses: actions/checkout@v2
with:
ref: ${{ github.event.pull_request.head.ref }}
fetch-depth: 1
- name: Set up Python ${{ matrix.python-version }}
uses: conda-incubator/setup-miniconda@v2
with:
auto-update-conda: true
python-version: ${{ matrix.python-version }}
- name: Install dependencies'
shell: bash -l {0}
run: |
conda install -c conda-forge poppler
python -m pip install --upgrade pip
python -m pip install pdftotext
python -m pip install pytest
python -m pip install pytest-mock
python -m pip install pytest-cov
python -m pip install .
playwright install
- name: Run pytest and Generate coverage report
shell: bash -l {0}
run: |
python -m pytest -v --disable-warnings --cov=./ --cov-report=xml:coverage.xml
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v1
with:
token: ${{ secrets.CODECOV_TOKEN }}
file: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false
verbose: true