Files
windmill/cli
Ruben Fiszel 574d3ac9ff fix(pipelines): link SCD2 <dim>_current view to its producer across all graph surfaces (#9933)
* fix(pipelines): link SCD2 <dim>_current view to its producer across all graph surfaces

An SCD2 producer (`// materialize … history`) creates the base table AND a
`<dim>_current` view at runtime. The deploy path already registered both writes,
but the CLI `--local` graph and the frontend live-editor graph only emitted the
base write, so a consumer reading only `<dim>_current` orphaned there. Centralize
the companion derivation in `MaterializeSpec::write_targets` /
`scd2_current_target` (+ TS `scd2CurrentTargetPath` mirror), emit the `_current`
write in every surface, and mark the companion node `derived_from` the base so the
canvas renders it as a derived "current view" instead of an unrelated table.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(pipelines): keep scd2 _current write edge when editing a saved producer

Addresses Codex CI review (P1): opening a deployed scd2 materialize producer for
editing dropped its persisted `<dim>_current` write edge. `liveRefKeys` (the set
of asset keys a saved-script edit preserves against stale-filtering) only added
the base materialize target, so the companion `_current` write was judged stale
and filtered — orphaning consumers of only the view mid-edit. Add
`scd2CurrentTargetPath(m)` to `liveRefKeys` too; covered by a new saved-edit test.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 22:35:46 +02:00
..
2022-11-01 15:53:28 +01:00
2023-02-03 19:49:46 +01:00
2026-02-23 09:09:16 +00:00
2025-12-26 20:32:42 +00:00

Windmill CLI

A simple CLI allowing interactions with windmill from the command line.

You can find more information in Windmill Docs

Installation

Install the wmill CLI tool using npm install -g windmill-cli.

Update to the latest version using wmill upgrade.

Workspaces

To get started run wmill workspace add or use the instructions from the workspace settings.

Running Flows & Scripts

Run a script or flow using wmill flow/script run u/username/path/to/script and pass any inputs using --data + Inputs specified as a JSON string or a file using @ <filename> or stdin using @-.

Curl-style syntax using -d @- for stdin or -d @<filename> is also supported.

Flow Steps and Logs will be streamed during execution automatically.

CLI input example

Pushing Resources, Scripts & More

The CLI can push specifications to a windmill instance. See the examples/ folder for formats.

Switch to a different workspace

wmill workspace switch <workspace_name>

Sync a workspace

Pull

wmill sync pull

Push

wmill sync push

We recommend using the --yaml option to use yaml instead of json as the encoding format. Yaml will be made the default soon.

Pushing individual files

You can push individual resources using wmill <type> push <file_name> \<remote_name\>. This does not require a special folder layout or file name, as this is given at runtime.

Listing

All commands support listing by just not providing a subcommand, ie wmill script will result in a list of scripts. Some allow additional options, learn about this by specifying --help.

User Management

You can add & remove users via wmill user add/remove, and list them using wmill user

Pulling

You can pull the entire workspace using wmill pull

Completion

The CLI comes with completions out of the box via wmill completions <shell>. (Via cliffy)

Bash

To enable bash completions add the following line to your ~/.bashrc:

source <(wmill completions bash)

Fish

To enable fish completions add the following line to your ~/.config/fish/config.fish:

source (wmill completions fish | psub)

Zsh

To enable zsh completions add the following line to your ~/.zshrc:

source <(wmill completions zsh)

Development

AI Guidance Variants

wmill init can now materialize alternate AI guidance bundles without changing the generated defaults in the repo, but this is exposed as internal env-var overrides rather than public CLI flags.

Examples:

WMILL_INIT_AI_SKILLS_SOURCE=/path/to/custom/skills wmill init --use-default
WMILL_INIT_AI_SKILLS_SOURCE=/path/to/custom/skills WMILL_INIT_AI_AGENTS_SOURCE=/path/to/AGENTS.md wmill init --use-default
WMILL_INIT_AI_SKILLS_SOURCE=/path/to/custom/skills WMILL_INIT_AI_CLAUDE_SOURCE=/path/to/CLAUDE.md wmill init --use-default

This is the same guidance-writing path used by the benchmark CLI under ai_evals/, so the benchmark harness and wmill init now generate the same project guidance shape:

  • AGENTS.md
  • CLAUDE.md
  • .agents/skills/*
  • .claude/skills/*

Testing with a local windmill-yaml-validator

To test local changes to the validator before publishing, use npm link:

# In windmill-yaml-validator/
npm run build
npm link

# In cli/
npm link windmill-yaml-validator

Running Tests

Prerequisites:

  • PostgreSQL running locally (default: postgres://postgres:changeme@localhost:5432)
  • Rust toolchain installed

Run tests locally (full features):

bun test test/

Run tests in CI mode (minimal features, skips EE tests):

CI_MINIMAL_FEATURES=true bun test test/
Variable Description
CI_MINIMAL_FEATURES Set to true to skip EE-dependent tests
DATABASE_URL PostgreSQL connection string
EE_LICENSE_KEY Enterprise license key for EE features