feat(bigquery): validate integration + add dataset/table lifecycle tools

[waleedlatif1]

Summary

• Validated the existing 5 BigQuery tools (query, list_datasets, list_tables, get_table, insert_rows) against the live BigQuery REST v2 API docs — no critical issues found
• Added 6 new tools, all covered by the existing bigquery OAuth scope (no new scopes requested): create dataset, delete dataset, create table, delete table, list table data, get query results
• Wired new operations into the block (dropdown, subblocks, conditions, tools.config), tool registry, and barrel exports

Type of Change

• New feature

Testing

• bun run lint:check clean
• bun run type-check clean (bigquery-related)
• bun run check:api-validation passed

Checklist

• Code follows project style guidelines
• Self-reviewed my changes
• Tests added/updated and passing
• No new warnings introduced
• I confirm that I have read and agree to the terms outlined in the Contributor License Agreement (CLA)

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1 Skipped Deployment

Project	Deployment	Actions	Updated (UTC)
docs	Skipped		Jul 7, 2026 6:51pm

[cursor]

PR Summary

Medium Risk
New delete-dataset/table operations can destroy production data if misused in workflows; otherwise changes follow existing OAuth BigQuery patterns with schema validation on create table.

Overview
Expands the Google BigQuery block and tool layer with six new REST-backed operations: create/delete dataset, create/delete table, list table data, and get query results (job pagination and follow-up to run query). Existing OAuth scopes are unchanged.

The block gains new operation dropdown entries, operation-grouped subblocks (including deleteContents, job timeoutMs, schema/rows as code inputs with wand helpers), and smarter param mapping (newDatasetId / newTableId → API ids). Types, registry, and exports are updated; block meta adds a provision-dataset-and-table skill template.

^{Reviewed by Cursor Bugbot for commit 6ca7101. Configure here.}

[greptile-apps]

Greptile Summary

This PR adds 6 new BigQuery tools (create/delete dataset, create/delete table, list table data, get query results) and wires them into the block, tool registry, and barrel exports. It also deduplicates the block's condition arrays into shared constants (EXISTING_DATASET_OPS, EXISTING_TABLE_OPS, LOCATION_OPS) and addresses prior review findings around datasetId/tableId trimming.

• New tools cover the full dataset/table lifecycle using the existing bigquery OAuth scope; all URL-path identifiers are trimmed before encodeURIComponent, and the block params() function maps newDatasetId/newTableId to the correct canonical datasetId/tableId keys.
• Shared constants cleanly replace the repeated inline arrays in condition/required and params(), making it easier to add operations in the future.
• list_table_data returns positional row arrays (no column names) because the underlying tabledata.list API does not include schema; the description advises pairing with get_table, which is the correct workaround given the API constraints.

Confidence Score: 5/5

Safe to merge — all six new tools are correctly wired end-to-end and all previously identified trimming bugs have been addressed.

All URL-path identifiers are trimmed before encoding. The block's params() function correctly maps newDatasetId→datasetId and newTableId→tableId without leaking stale selector values. Shared constants cleanly replace duplicated condition arrays. The schema validation in create_table handles malformed JSON with a clear error. No logic gaps or data-loss paths were found across the full chain from block → params → tool → API.

No files require special attention.

Important Files Changed

Filename	Overview
apps/sim/blocks/blocks/google_bigquery.ts	Adds 6 new operations; deduplicates condition arrays into shared constants; params() correctly routes newDatasetId→datasetId and newTableId→tableId; all conditional logic and tool mapping look correct.
apps/sim/tools/google_bigquery/create_dataset.ts	datasetId trimmed in body's datasetReference; URL path does not include datasetId (POST to /datasets); error handling and output shape are correct.
apps/sim/tools/google_bigquery/create_table.ts	datasetId and tableId trimmed in both URL path and tableReference body; schema JSON.parse wrapped in try/catch with actionable error; all previously flagged issues are resolved.
apps/sim/tools/google_bigquery/delete_dataset.ts	datasetId trimmed in URL; deleteContents mapped to query param; 204 No Content handled correctly (response.json() only called on error paths).
apps/sim/tools/google_bigquery/delete_table.ts	Both datasetId and tableId trimmed in URL; error handling consistent with delete_dataset pattern.
apps/sim/tools/google_bigquery/get_query_results.ts	Uses correct BigQuery REST v2 queries/{jobId} endpoint; jobId trimmed; optional params validated before appending to URL; rows mapped to named objects using schema fields.
apps/sim/tools/google_bigquery/list_table_data.ts	Returns rows as positional arrays (no column names) consistent with tabledata.list API limitations; tool description correctly advises pairing with get_table; URL params properly constructed.
apps/sim/tools/google_bigquery/types.ts	New param and response interfaces match tool implementations; no type inconsistencies found.
apps/sim/tools/google_bigquery/index.ts	All 6 new tools exported correctly; barrel export is consistent with registry additions.
apps/sim/tools/registry.ts	All 6 new tools imported and registered with correct string keys; entries adjacent to existing BigQuery tools.

Flowchart

%%{init: {'theme': 'neutral'}}%%
flowchart TD
    Block["GoogleBigQueryBlock\n(operation dropdown)"] --> Switch{"params.operation"}

    Switch -->|query| QT["google_bigquery_query\nPOST /jobs (runQuery)"]
    Switch -->|get_query_results| GQR["google_bigquery_get_query_results\nGET /queries/{jobId}"]
    Switch -->|list_datasets| LD["google_bigquery_list_datasets\nGET /datasets"]
    Switch -->|create_dataset| CD["google_bigquery_create_dataset\nPOST /datasets\ndatasetId.trim() in body"]
    Switch -->|delete_dataset| DD["google_bigquery_delete_dataset\nDELETE /datasets/{id.trim()}\n?deleteContents="]
    Switch -->|list_tables| LT["google_bigquery_list_tables\nGET /datasets/{id}/tables"]
    Switch -->|get_table| GT["google_bigquery_get_table\nGET /datasets/{id}/tables/{id}"]
    Switch -->|create_table| CT["google_bigquery_create_table\nPOST /datasets/{id.trim()}/tables\nSchema JSON validated + parsed"]
    Switch -->|delete_table| DT["google_bigquery_delete_table\nDELETE /datasets/{id}/tables/{id.trim()}"]
    Switch -->|list_table_data| LTD["google_bigquery_list_table_data\nGET /datasets/{id}/tables/{id}/data\nRows: positional arrays"]
    Switch -->|insert_rows| IR["google_bigquery_insert_rows\nPOST /datasets/{id}/tables/{id}/insertAll"]

    Params["params() mapping\nnewDatasetId → datasetId\nnewTableId → tableId\ndatasetLocation → location"] --> Switch
    Constants["Shared constants\nEXISTING_DATASET_OPS\nEXISTING_TABLE_OPS\nLOCATION_OPS"] --> Params

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flowchart TD
    Block["GoogleBigQueryBlock\n(operation dropdown)"] --> Switch{"params.operation"}

    Switch -->|query| QT["google_bigquery_query\nPOST /jobs (runQuery)"]
    Switch -->|get_query_results| GQR["google_bigquery_get_query_results\nGET /queries/{jobId}"]
    Switch -->|list_datasets| LD["google_bigquery_list_datasets\nGET /datasets"]
    Switch -->|create_dataset| CD["google_bigquery_create_dataset\nPOST /datasets\ndatasetId.trim() in body"]
    Switch -->|delete_dataset| DD["google_bigquery_delete_dataset\nDELETE /datasets/{id.trim()}\n?deleteContents="]
    Switch -->|list_tables| LT["google_bigquery_list_tables\nGET /datasets/{id}/tables"]
    Switch -->|get_table| GT["google_bigquery_get_table\nGET /datasets/{id}/tables/{id}"]
    Switch -->|create_table| CT["google_bigquery_create_table\nPOST /datasets/{id.trim()}/tables\nSchema JSON validated + parsed"]
    Switch -->|delete_table| DT["google_bigquery_delete_table\nDELETE /datasets/{id}/tables/{id.trim()}"]
    Switch -->|list_table_data| LTD["google_bigquery_list_table_data\nGET /datasets/{id}/tables/{id}/data\nRows: positional arrays"]
    Switch -->|insert_rows| IR["google_bigquery_insert_rows\nPOST /datasets/{id}/tables/{id}/insertAll"]

    Params["params() mapping\nnewDatasetId → datasetId\nnewTableId → tableId\ndatasetLocation → location"] --> Switch
    Constants["Shared constants\nEXISTING_DATASET_OPS\nEXISTING_TABLE_OPS\nLOCATION_OPS"] --> Params

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_{Reviews (5): Last reviewed commit: "fix(bigquery): stop leaking stale datase..." | Re-trigger Greptile}

[waleedlatif1]

@greptile @cursor please re-review — pushed fixes for all findings from the first round (schema JSON.parse guard, ID trimming in create_table/create_dataset bodies, stale query-location leak into create_dataset, and clarified pageToken output docs).

[waleedlatif1]

bugbot run

[waleedlatif1]

@greptile please re-review; bugbot run

[waleedlatif1]

@greptile please re-review; bugbot run — pushed a final alignment pass (added missing projectId block output, switched query/rows/schema subblocks from long-input to code to match repo convention for JSON/SQL fields).

[waleedlatif1]

bugbot run

[waleedlatif1]

@greptile please re-review; bugbot run — fixed a stale datasetId/tableId leak into create_dataset/create_table (same class as the earlier location leak), and deduped the operation-list conditions into shared constants.

[waleedlatif1]

bugbot run

[cursor]

✅ Bugbot reviewed your changes and found no new issues!

Comment @cursor review or bugbot run to trigger another review on this PR

^{Reviewed by Cursor Bugbot for commit 6ca7101. Configure here.}