* VAULT-33074: add `github` sub-command to `pipeline`
Investigating test workflow failures is common task that engineers on the
sustaining rotation perform. This task often requires quite a bit of
manual labor by manually inspecting all failed/cancelled workflows in
the Github UI on per repo/branch/workflow basis and performing root cause
analysis.
As we work to improve our pipeline discoverability this PR adds a new `github`
sub-command to the `pipeline` utility that allows querying for such workflows
and returning either machine readable or human readable summaries in a single
place. Eventually we plan to automate sending a summary of this data to
an OTEL collector automatically but for now sustaining engineers can
utilize it to query for workflows with lots of various criteria.
A common pattern for investigating build/enos test failure workflows would be:
```shell
export GITHUB_TOKEN="YOUR_TOKEN"
go run -race ./tools/pipeline/... github list-workflow-runs -o hashicorp -r vault -d '2025-01-13..2025-01-23' --branch main --status failure build
```
This will list `build` workflow runs in `hashicorp/vault` repo for the
`main` branch with the `status` or `conclusion` of `failure` within the date
range of `2025-01-13..2025-01-23`.
A sustaining engineer will likely do this for both `vault` and
`vault-enterprise` repositories along with `enos-release-testing-oss` and
`enos-release-testing-ent` workflows in addition to `build` in order to
get a full picture of the last weeks failures.
You can also use this utility to summarize workflows based on other
statuses, branches, HEAD SHA's, event triggers, github actors, etc. For
a full list of filter arguments you can pass `-h` to the sub-command.
> [!CAUTION]
> Be careful not to run this without setting strict filter arguments.
> Failing to do so could result in trying to summarize way too many
> workflows resulting in your API token being disabled for an hour.
Signed-off-by: Ryan Cragun <me@ryan.ec>
As the Vault pipeline and release processes evolve over time, so too must the tooling that drives them. Historically we've utilized a combination of CI features and shell scripts that are wrapped into make targets to drive our CI. While this
approach has worked, it requires careful consideration of what features to use (bash in CI almost never matches bash in developer machines, etc.) and often requires a deep understanding of several CLI tools (jq, etc). `make` itself also has limitations in user experience, e.g. passing flags.
As we're all in on Github Actions as our pipeline coordinator, continuing to utilize and build CLI tools to perform our pipeline tasks makes sense. This PR adds a new CLI tool called `pipeline` which we can use to build new isolated tasks that we can string together in Github Actions. We intend to use this utility as the interface for future release automation work, see VAULT-27514.
For the first task in this new `pipeline` tool, I've chosen to build two small sub-commands:
* `pipeline releases list-versions` - Allows us to list Vault versions between a range. The range is configurable either by setting `--upper` and/or `--lower` bounds, or by using the `--nminus` to set the N-X to go back from the current branches version. As CE and ENT do not have version parity we also consider the `--edition`, as well as none-to-many `--skip` flags to exclude specific versions.
* `pipeline generate enos-dynamic-config` - Which creates dynamic enos configuration based on the branch and the current list of release versions. It takes largely the same flags as the `release list-versions` command, however it also expects a `--dir` for the enos directory and a `--file` where the dynamic configuration will be written. This allows us to dynamically update and feed the latest versions into our sampling algorithm to get coverage over all supported prior versions.
We then integrate these new tools into the pipeline itself and cache the dynamic config on a weekly basis. We also cache the pipeline tool itself as it will likely become a repository for pipeline specific tooling. The caching strategy for the `pipeline` tool itself will make most workflows that require it super fast.
Signed-off-by: Ryan Cragun <me@ryan.ec>
