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899ede1d55
This PR introduces a new `ActionRunAttempt` model and makes Actions
execution attempt-scoped.
**Main Changes**
- Each workflow run trigger generates a new `ActionRunAttempt`. The
triggered jobs are then associated with this new `ActionRunAttempt`
record.
- Each rerun now creates:
- a new `ActionRunAttempt` record for the workflow run
- a full new set of `ActionRunJob` records for the new
`ActionRunAttempt`
- For jobs that need to be rerun, the new job records are created as
runnable jobs in the new attempt.
- For jobs that do not need to be rerun, new job records are still
created in the new attempt, but they reuse the result of the previous
attempt instead of executing again.
- Introduce `rerunPlan` to manage each rerun and refactored rerun flow
into a two-phase plan-based model:
- `buildRerunPlan`
- `execRerunPlan`
- `RerunFailedWorkflowRun` and `RerunFailed` no longer directly derives
all jobs that need to be rerun; this step is now handled by
`buildRerunPlan`.
- Converted artifacts from run-scoped to attempt-scoped:
- uploads are now associated with `RunAttemptID`
- listing, download, and deletion resolve against the current attempt
- Added attempt-aware web Actions views:
- the default run page shows the latest attempt
(`/actions/runs/{run_id}`)
- previous attempt pages show jobs and artifacts for that attempt
(`/actions/runs/{run_id}/attempts/{attempt_num}`)
- New APIs:
- `/repos/{owner}/{repo}/actions/runs/{run}/attempts/{attempt}`
- `/repos/{owner}/{repo}/actions/runs/{run}/attempts/{attempt}/jobs`
- New configuration `MAX_RERUN_ATTEMPTS`
- https://gitea.com/gitea/docs/pulls/383
**Compatibility**
- Existing legacy runs use `LatestAttemptID = 0` and legacy jobs use
`RunAttemptID = 0`. Therefore, these fields can be used to identify
legacy runs and jobs and provide backward compatibility.
- If a legacy run is rerun, an `ActionRunAttempt` with `attempt=1` will
be created to represent the original execution. Then a new
`ActionRunAttempt` with `attempt=2` will be created for the real rerun.
- Existing artifact records are not backfilled; legacy artifacts
continue to use `RunAttemptID = 0`.
**Improvements**
- It is now easier to inspect and download logs from previous attempts.
-
[`run_attempt`](https://docs.github.com/en/actions/reference/workflows-and-actions/contexts#github-context)
semantics are now aligned with GitHub.
- > A unique number for each attempt of a particular workflow run in a
repository. This number begins at 1 for the workflow run's first
attempt, and increments with each re-run.
- Rerun behavior is now clearer and more explicit.
- Instead of mutating the status of previous jobs in place, each rerun
creates a new attempt with a full new set of job records.
- Artifacts produced by different reruns can now be listed separately.
Signed-off-by: Zettat123 <zettat123@gmail.com>
Co-authored-by: silverwind <me@silverwind.io>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: wxiaoguang <wxiaoguang@gmail.com>
Co-authored-by: Giteabot <teabot@gitea.io>
Integration tests
Integration tests can be run with make commands for the appropriate backends, namely:
make test-sqlite
make test-pgsql
make test-mysql
make test-mssql
Make sure to perform a clean build before running tests:
make clean build
Run tests via local act_runner
Run all jobs
act_runner exec -W ./.github/workflows/pull-db-tests.yml --event=pull_request --default-actions-url="https://github.com" -i catthehacker/ubuntu:runner-latest
Warning: This file defines many jobs, so it will be resource-intensive and therefor not recommended.
Run single job
act_runner exec -W ./.github/workflows/pull-db-tests.yml --event=pull_request --default-actions-url="https://github.com" -i catthehacker/ubuntu:runner-latest -j <job_name>
You can list all job names via:
act_runner exec -W ./.github/workflows/pull-db-tests.yml --event=pull_request --default-actions-url="https://github.com" -i catthehacker/ubuntu:runner-latest -l
Run sqlite integration tests
Start tests
make test-sqlite
Run MySQL integration tests
Setup a MySQL database inside docker
docker run -e "MYSQL_DATABASE=test" -e "MYSQL_ALLOW_EMPTY_PASSWORD=yes" -p 3306:3306 --rm --name mysql mysql:latest #(just ctrl-c to stop db and clean the container)
docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" --rm --name elasticsearch elasticsearch:7.6.0 #(in a second terminal, just ctrl-c to stop db and clean the container)
Start tests based on the database container
TEST_MYSQL_HOST=localhost:3306 TEST_MYSQL_DBNAME=test TEST_MYSQL_USERNAME=root TEST_MYSQL_PASSWORD='' make test-mysql
Run pgsql integration tests
Setup a pgsql database inside docker
docker run -e "POSTGRES_DB=test" -e "POSTGRES_USER=postgres" -e "POSTGRES_PASSWORD=postgres" -p 5432:5432 --rm --name pgsql postgres:latest #(just ctrl-c to stop db and clean the container)
Setup minio inside docker
docker run --rm -p 9000:9000 -e MINIO_ROOT_USER=123456 -e MINIO_ROOT_PASSWORD=12345678 --name minio bitnamilegacy/minio:2023.8.31
Start tests based on the database container
TEST_MINIO_ENDPOINT=localhost:9000 TEST_PGSQL_HOST=localhost:5432 TEST_PGSQL_DBNAME=postgres TEST_PGSQL_USERNAME=postgres TEST_PGSQL_PASSWORD=postgres make test-pgsql
Run mssql integration tests
Setup a mssql database inside docker
docker run -e "ACCEPT_EULA=Y" -e "MSSQL_PID=Standard" -e "SA_PASSWORD=MwantsaSecurePassword1" -p 1433:1433 --rm --name mssql microsoft/mssql-server-linux:latest #(just ctrl-c to stop db and clean the container)
Start tests based on the database container
TEST_MSSQL_HOST=localhost:1433 TEST_MSSQL_DBNAME=gitea_test TEST_MSSQL_USERNAME=sa TEST_MSSQL_PASSWORD=MwantsaSecurePassword1 make test-mssql
Running individual tests
Example command to run GPG test:
For SQLite:
make test-sqlite#GPG
For other databases(replace mssql to mysql, or pgsql):
TEST_MSSQL_HOST=localhost:1433 TEST_MSSQL_DBNAME=test TEST_MSSQL_USERNAME=sa TEST_MSSQL_PASSWORD=MwantsaSecurePassword1 make test-mssql#GPG
Setting timeouts for declaring long-tests and long-flushes
We appreciate that some testing machines may not be very powerful and the default timeouts for declaring a slow test or a slow clean-up flush may not be appropriate.
You can set the following environment variables:
GITEA_TEST_SLOW_RUN="10s" GITEA_TEST_SLOW_FLUSH="1s" make test-sqlite