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* test: overall job result * test: overall job result with nim daily * test: overall job result with nim daily success case * test: overall job result with nim daily failure case * test: replace deprecated set-output with GITHUB_OUTPUT * test: change OUTCOMES evaluation * test: debug OUTCOMES evaluation * test: print OUTCOMES * test: print OUTCOMES remove star * test: print outputs * test: print GITHUB_OUTPUT * test: print JOB_RESULT * test: print JOB_RESULT in reports * test: print ALL_OUTPUTS * test: print ALL_OUTPUTS 2 * test: print ALL_OUTPUTS 3 * test: print ALL_OUTPUTS with curly * test: print OUTCOMES * test: print jobResult * test: print all jobResults * fix: shard as version input * fix: process results * test: full workflow - failure case * test: full workflow - failure case - manual * test: full workflow - success case - RLN tests re-enabled * fix: make workflows ready to merge - disable RLN tests again
waku-interop-tests
Waku e2e and interop framework used to test various implementation of the Waku v2 protocol.
Setup and contribute
git clone git@github.com:waku-org/waku-interop-tests.git
cd waku-interop-tests
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
pre-commit install
(optional) Overwrite default vars from src/env_vars.py via cli env vars or by adding a .env file
pytest
CI
- Test runs via github actions
- Allure Test Reports are published via github pages
CI NWAKU job
To update tests in PRs at nwaku repo following steps shall be done
- Make a tag at the desired commit on master with these 2 commands
- git tag tagname
- git push origin tagname
- Navigate to test_PR_image.yml file and modify job "tests" to explicilty use the tag in ref section
License
Licensed and distributed under either of
- MIT license: LICENSE-MIT or http://opensource.org/licenses/MIT
or
- Apache License, Version 2.0, (LICENSE-APACHE-v2 or http://www.apache.org/licenses/LICENSE-2.0)
at your option. These files may not be copied, modified, or distributed except according to those terms.
Description
Languages
Python
86%
Shell
14%