The Tool Desk
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The examples below follow senro v1.4.0 as described in the package documentation and Xavier Portilla Edo’s practical walkthrough. Check the API and defaults for the version you install; details such as expansion limits can change.
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How a senro pipeline fits together
In senro, Go code declares workflows and steps, then builds a plan before execution. The plan is an immutable directed acyclic graph (DAG): dependencies state which steps must finish before others can run. A run records events in an append-only stream. Depending on configuration, execution can target local processes, containers, Kubernetes pods, or remote hosts over SSH.
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A practical starting shape is checkout followed by independent checks, then a build that waits for both:
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- Checkout clones the repository into a named
srcworkspace. - Vet and test depend on checkout and read the source workspace.
- Build depends on both checks and writes its output to the workspace.
This graph expresses both order and data flow: the checks can proceed independently after checkout, while the build cannot start until both finish. The walkthrough’s sample was run against senro v1.4.0; treat its API details as version-specific.
How to pass files between steps with workspaces
A workspace is a named directory mounted into steps. Choose its scope and access mode according to how long the data must live and which steps should modify it.
| Workspace scope | Lifetime and use |
|---|---|
| Run-scoped | Shared among steps in one run; a natural fit for checked-out source and intermediate files. |
| Persistent | Outlives a run on the same machine. Set explicit bounds so retained data does not grow without limit. |
| Step-scoped | Private to one step; use when intermediate files should not be shared with other steps. |
Use read-only mounts for consumers such as vet and test, and read/write mounts for checkout or a build step that changes the tree or writes outputs. This helps make the intended ownership of files clear.
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Do not assume the builder supplies a complete shell environment. In the v1.4.0 walkthrough, Build() adds neither HOME nor GOPATH; pass required environment values explicitly. The local executor supplies its own PATH.
Read-only mounts depend on the executor
Containers and Kubernetes enforce read-only mounts when a write is attempted. Local and SSH execution may detect a write after the fact or during read-back instead. A read-only declaration therefore does not imply identical kernel-level enforcement on every execution target.
When to mark a step pure and cache it
Pure() is a promise that the declared inputs determine the step’s outputs. The cache key includes relevant step configuration such as the command, environment, workspaces, mount shape, and inputs. If a later step has a matching key, senro can restore recorded outputs and skip execution.
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Pure()is a promise: given these inputs, this command produces these outputs, and nothing else matters.” — Xavier Portilla Edo, practical walkthroughDriversCrashes, No Sound, or Screen Glitches?PerformanceWindows Errors? Fix Them Before They SpreadDriversOutdated Drivers Are Slowing You DownSpecial offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.
Use the cache only when the promise is accurate. If output depends on undeclared state—such as a changing external service, an untracked file, or an environment value that was not included—the cache may restore an output that no longer corresponds to the actual conditions.
Workspace mounts affect cache keys
Mounting a workspace adds the whole workspace to the key. Narrower Inputs declarations do not remove that workspace component. For costly work performed independently on monorepo units, separate unit workspaces can avoid making each unit’s cache key depend on a large shared tree.
The walkthrough demonstrates cache hits and misses, including changed source and workspace digests. Those are examples from its run, not an independent benchmark or a general speed guarantee.
Sharing cache across machines
The package documentation describes remote caching as a second tier behind the local cache, with S3-compatible object storage and an OCI registry repository as supported backends. This can help fresh CI runners reuse cached results across machines. The cited documentation does not establish a preferred provider.
How to expand work across monorepo units
Expand(id, graph) creates one step for each unit found by the selected graph. The v1.4.0 walkthrough lists these discovery options:
- Glob-based directories or files.
- Go workspace modules.
- Rust Cargo crates.
- npm, pnpm, or Yarn workspaces.
- Maven and Gradle modules.
- Python projects identified by
pyproject. - Bazel packages.
Ecosystem-aware graphs can read project manifests and use their dependency relationships. A glob graph can locate matching paths, but cannot infer imports or dependency edges merely from those paths.
Run only affected units
Affected(src) narrows an expansion to units that own changed files and units that depend on them, including transitive dependents. For example, changing a shared library can include services that depend on it. This requires a graph with dependency information; senro refuses affected selection for a glob graph rather than pretending it can determine downstream dependents.
Keep discovery bounded and outside run data
Expansion is resolved when the plan is built, so a large repository can produce a large plan before execution begins. Bound parallel work and node count. The v1.4.0 walkthrough gives a default maximum of 500 expanded nodes; verify the default for your installed version.
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1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problemsKeep the run directory outside the tree scanned for units. In the described setup, run data is written under runs/<id>/ by default. If a filesystem graph scans that location, it can discover a previous run’s checkout as another copy of the modules. A .gitignore entry will not stop a filesystem scan.
How senro triggers decide whether to run
A pipeline binary can match an incoming event against declared triggers. The package documentation describes event kinds including push, pull request, tag, schedule, and manual, and built-in webhook sources for GitHub, GitLab, Bitbucket, and Gitea. Caller-defined providers are also supported.
Triggers can check conditions such as the event kind and branch. In the walkthrough’s example, a push to the main branch is distinguished from other pushes and pull requests; a tag event is declined with a reason.
- Match: the event satisfies a declared trigger, so the pipeline runs.
- No match: the event is valid but does not meet the trigger conditions. The trigger package exposes this as a distinct sentinel outcome; callers conventionally map it to exit code 78.
- Parse or configuration error: the event or trigger wiring could not be processed. This indicates a problem to fix, not an ordinary trigger decline.
Keeping these outcomes distinct lets a caller avoid treating an expected non-match as a broken pipeline while still surfacing malformed input or configuration.
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