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Utility to download pickles from the EFD #85

Utility to download pickles from the EFD

Utility to download pickles from the EFD #85

Workflow file for this run

name: Run Unit Tests
on:
# Trigger the workflow on pull request to main, or by hand
# Trigger the workflow on push (to main) or pull request
push:
branches:
- main
pull_request:
branches:
- main
workflow_dispatch:
jobs:
Tests:
name: Run Tests (${{ matrix.python-version }}, ${{ matrix.os }})
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: ["ubuntu-latest", "macos-latest"]
python-version: ["3.11"]
steps:
- uses: actions/checkout@v3
- uses: conda-incubator/setup-miniconda@v2
with:
python-version: ${{ matrix.python-version }}
auto-update-conda: true
channels: conda-forge,defaults
miniforge-variant: Mambaforge
use-mamba: true
channel-priority: strict
show-channel-urls: true
- name: configure conda and install requirements
shell: bash -l {0}
run: |
mamba config --set always_yes yes
mamba install --quiet --file=requirements.txt
mamba install --quiet --file=test-requirements.txt
- name: download rubin_sim_data components needed for unit tests
shell: bash -l {0}
run: |
export RUBIN_SIM_DATA_DIR=${{ github.workspace }}/data_dir
mkdir $RUBIN_SIM_DATA_DIR
cd $RUBIN_SIM_DATA_DIR
wget -q https://s3df.slac.stanford.edu/data/rubin/sim-data/rubin_sim_data/tests_2022_10_18.tgz
tar -xf tests_2022_10_18.tgz
echo "tests_2022_10_18.tgz complete"
wget -q https://s3df.slac.stanford.edu/data/rubin/sim-data/rubin_sim_data/throughputs_2023_09_07.tgz
tar -xf throughputs_2023_09_07.tgz
echo "throughputs_2023_09_07.tgz complete"
wget -q https://s3df.slac.stanford.edu/data/rubin/sim-data/rubin_sim_data/site_models_2023_03_28.tgz
tar -xf site_models_2023_03_28.tgz
echo "site_models_2023_03_28.tgz complete"
wget -q https://s3df.slac.stanford.edu/data/rubin/sim-data/rubin_sim_data/scheduler_2023_09_22.tgz
tar -xf scheduler_2023_09_22.tgz
echo "scheduler_2023_09_22.tgz complete"
wget -q https://s3df.slac.stanford.edu/data/rubin/sim-data/rubin_sim_data/skybrightness_pre_2023_09_19.tgz
tar -xf skybrightness_pre_2023_09_19.tgz
echo "skybrightness_pre_2023_09_19.tgz complete"
- name: install schedview
shell: bash -l {0}
run: |
echo `pwd`
python -m pip install .
- name: conda list
shell: bash -l {0}
run: conda list
- name: run unit tests
shell: bash -l {0}
run: |
export RUBIN_SIM_DATA_DIR=${{ github.workspace }}/data_dir
pytest -r a -v --cov=schedview --cov=tests --cov-report=xml --cov-report=term --cov-branch
- name: Upload coverage to codecov
uses: codecov/codecov-action@v2
with:
file: coverage.xml