mirror of
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* feat(completion): complete known argument values
* fix(completion): hide Commander-hidden subcommands from completions
Replace the `__`-prefix name heuristic with Commander's `_hidden` flag so
internal subcommands registered with { hidden: true } (e.g. `mcp serve-internal`)
are excluded from completions, mirroring `ktx --help`.
* test: cover wiki and sl read command routing
* test: cover raw wiki and sl reads
* feat: add wiki read command
* feat: add sl read command
* feat: complete read command entity names
* docs: document wiki and sl read commands
* test: include read commands in command tree
* feat(sl): read and validate unique sources by name
* feat(sl): make read and validate connection id optional
* fix(completion): dedupe semantic source names
* docs(sl): document connection-optional read and validate
* fix(sl): require connection id for query command
* docs(sl): clarify query connection requirement
* fix(completion): don't resolve option values as subcommands
resolveCommand skipped flag tokens but not the value consumed by a
value-taking option in the `--flag value` form, so a connection id like
`query` was matched as the `sl query` subcommand and yielded no `sl`
completions. Track value-taking options and skip their consumed value
before matching subcommands.
* test(telemetry): assert first-run notice via TELEMETRY_NOTICE constant
CI (which tests this branch merged with main) failed because #243 changed
the first-run notice wording in identity.ts (dropped "anonymous") but left
this test grepping for the old literal 'ktx collects anonymous usage data',
so indexOf returned -1. Assert against the exported TELEMETRY_NOTICE
constant instead so the test tracks the source of truth and cannot drift
when the notice text changes again.
194 lines
6.9 KiB
Text
194 lines
6.9 KiB
Text
---
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title: "ktx sl"
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description: "List, search, validate, or query semantic sources."
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---
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Interact with your project's semantic layer. Semantic sources are YAML
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definitions that describe tables, columns, measures, joins, segments, and grain:
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the vocabulary agents use to generate correct SQL.
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## Command signature
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```bash
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ktx sl [options] [query...] # list (bare) or search (with query)
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ktx sl read <sourceName>
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ktx sl validate <sourceName>
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ktx sl query [options]
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```
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- Bare `ktx sl` lists semantic sources.
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- `ktx sl <query...>` searches semantic sources. Multi-word queries are joined
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with a space.
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- `ktx sl read <sourceName>` prints the YAML for one source. Add
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`--connection-id` only when the source name exists in multiple connections.
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- `ktx sl validate` and `ktx sl query` remain as explicit subcommands.
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## Subcommands
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| Subcommand | Description |
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|-----------|-------------|
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| (none, no query) | List semantic sources |
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| (none, with query) | Search semantic sources |
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| `read <sourceName>` | Print the YAML for one semantic source |
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| `validate <sourceName>` | Validate a semantic source against the database schema |
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| `query` | Compile or execute a semantic query |
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## Options
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### `sl` (list or search)
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| Flag | Description | Default |
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|------|-------------|---------|
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| `--connection-id <id>` | Filter by **ktx** connection id | - |
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| `--limit <number>` | Maximum search results (search mode only) | - |
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| `--output <mode>` | Output mode: `pretty` (default in TTY), `plain` (TSV), or `json` | `pretty` |
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| `--json` | Shortcut for `--output=json` (overrides `--output`) | `false` |
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### `sl read`
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| Flag | Description | Default |
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|------|-------------|---------|
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| `--connection-id <id>` | Optional **ktx** connection id for disambiguation | - |
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### `sl validate`
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| Flag | Description | Default |
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|------|-------------|---------|
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| `--connection-id <id>` | Optional **ktx** connection id for disambiguation | - |
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### `sl query`
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| Flag | Description | Default |
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|------|-------------|---------|
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| `--connection-id <id>` | Required **ktx** connection id | - |
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| `--query-file <path>` | JSON semantic query file | - |
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| `--measure <measure>` | Measure to query; repeatable (at least one required) | - |
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| `--dimension <dimension>` | Dimension to include; repeatable | - |
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| `--filter <filter>` | Filter expression; repeatable | - |
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| `--segment <segment>` | Segment to include; repeatable | - |
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| `--order-by <field[:direction]>` | Order field, optionally suffixed with `:asc` or `:desc`; repeatable | - |
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| `--limit <n>` | Query limit | - |
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| `--include-empty` | Include empty rows | `false` |
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| `--format <format>` | Output format: `json` or `sql` | `json` |
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| `--execute` | Execute the compiled query against the database | `false` |
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| `--yes` | Install the managed Python runtime without prompting when required | `false` |
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| `--no-input` | Disable interactive managed runtime installation | - |
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| `--max-rows <n>` | Maximum rows to return when executing | - |
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`sl query` requires `--connection-id` and at least one `--measure` unless
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`--query-file` is set. `--query-file` must point to a JSON semantic query
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object.
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## Examples
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```bash
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# List all semantic sources
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ktx sl
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# List sources for a specific connection
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ktx sl --connection-id my-warehouse
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# List sources as JSON
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ktx sl --json
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# Search sources as JSON
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ktx sl "revenue" --json
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# Print the YAML for a source name that is unique across connections
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ktx sl read orders
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# Print the YAML for a source name that exists in multiple connections
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ktx sl --connection-id my-warehouse read orders
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# Validate a source name that is unique across connections
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ktx sl validate orders
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# Validate a source name that exists in multiple connections
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ktx sl validate orders --connection-id my-warehouse
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# Compile a query and view the generated SQL
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ktx sl query \
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--connection-id my-warehouse \
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--measure orders.total_revenue \
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--dimension orders.created_date \
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--format sql
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# Execute a query with filters
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ktx sl query \
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--connection-id my-warehouse \
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--measure orders.total_revenue \
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--dimension orders.status \
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--filter "orders.created_date >= '2024-01-01'" \
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--execute \
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--max-rows 100
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# Query with ordering and limit
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ktx sl query \
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--connection-id my-warehouse \
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--measure orders.total_revenue \
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--dimension customers.country \
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--order-by total_revenue:desc \
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--limit 10 \
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--execute
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# Execute and cap the result set
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ktx sl query \
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--connection-id my-warehouse \
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--measure orders.count \
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--dimension orders.created_date \
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--execute \
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--max-rows 1000
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# Compile or execute without prompting for runtime installation
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ktx sl query \
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--connection-id my-warehouse \
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--measure orders.count \
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--execute \
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--yes
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# Execute a query from a JSON file
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ktx sl query \
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--connection-id my-warehouse \
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--query-file query.json \
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--execute \
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--max-rows 100
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```
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## Output
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Bare `ktx sl` (list) and `ktx sl <query>` (search) return human-readable
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output by default. Use `--json` when an agent needs structured output. Use
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`--format sql` on `query` to inspect generated SQL before execution, or leave
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`--format json` for the compiled query and optional rows. Pretty search output
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shows `#1`, `#2`, and later rank badges for the displayed results. Plain and
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JSON output keep the raw `score` value, which is a ranking score rather than a
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percentage.
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`ktx sl read <sourceName>` prints the source YAML directly to stdout when the
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source name is unique across connections. If the name exists in multiple
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connections, rerun the command with `--connection-id <id>`. The command does
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not wrap output in pretty, plain, or JSON formatting, so it can be piped to
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other tools.
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```json
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{
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"sql": "SELECT orders.status, SUM(orders.total_amount) AS total_revenue FROM public.orders GROUP BY orders.status",
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"rows": [
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{
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"orders.status": "completed",
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"total_revenue": 125000
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}
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]
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}
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```
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## Common errors
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| Error | Cause | Recovery |
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|-------|-------|----------|
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| Source not found | Source name or connection id is wrong | Run `ktx sl <query>` or `ktx sl --connection-id <id>` to find the exact source name, then retry `ktx sl read <sourceName>` or `ktx sl validate <sourceName>` |
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| Source name is ambiguous | The same source name exists in multiple connections | Rerun with `--connection-id <id>` from the error message |
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| Validation fails | YAML references missing columns, invalid joins, or invalid SQL expressions | Fix the source YAML and rerun `ktx sl validate` |
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| Query compile fails | Measure, dimension, filter, or segment name is invalid | Search sources with `ktx sl <query>`, inspect the source YAML in your project files, then retry using declared fields |
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| Execution returns too many rows | `--max-rows` is missing or too high | Add `--max-rows` with a bounded value before executing |
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| Runtime install is blocked | Query execution needs the managed Python runtime and prompts are disabled | Run `ktx admin runtime install --feature core --yes`, or rerun `ktx sl query --yes` |
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