chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,178 @@
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import { validateDatabaseIdentifier } from '@/lib/core/security/input-validation'
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import type { SupabaseTextSearchParams, SupabaseTextSearchResponse } from '@/tools/supabase/types'
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import { supabaseBaseUrl } from '@/tools/supabase/utils'
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import type { ToolConfig } from '@/tools/types'
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export const textSearchTool: ToolConfig<SupabaseTextSearchParams, SupabaseTextSearchResponse> = {
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id: 'supabase_text_search',
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name: 'Supabase Text Search',
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description: 'Perform full-text search on a Supabase table',
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version: '1.0.0',
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params: {
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projectId: {
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type: 'string',
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required: true,
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visibility: 'user-only',
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description: 'Your Supabase project ID (e.g., jdrkgepadsdopsntdlom)',
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},
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table: {
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type: 'string',
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required: true,
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visibility: 'user-or-llm',
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description: 'The name of the Supabase table to search',
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},
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schema: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description:
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'Database schema to search in (default: public). Use this to access tables in other schemas.',
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},
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column: {
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type: 'string',
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required: true,
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visibility: 'user-or-llm',
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description: 'The column to search in',
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},
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query: {
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type: 'string',
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required: true,
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visibility: 'user-or-llm',
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description: 'The search query',
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},
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searchType: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Search type: plain, phrase, or websearch (default: websearch)',
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},
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language: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Language for text search configuration (default: english)',
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},
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limit: {
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type: 'number',
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required: false,
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visibility: 'user-or-llm',
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description: 'Maximum number of rows to return',
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},
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offset: {
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type: 'number',
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required: false,
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visibility: 'user-or-llm',
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description: 'Number of rows to skip (for pagination)',
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},
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apiKey: {
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type: 'string',
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required: true,
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visibility: 'user-only',
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description: 'Your Supabase service role secret key',
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},
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},
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request: {
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url: (params) => {
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const tableValidation = validateDatabaseIdentifier(params.table, 'table')
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if (!tableValidation.isValid) throw new Error(tableValidation.error)
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const columnValidation = validateDatabaseIdentifier(params.column, 'column')
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if (!columnValidation.isValid) throw new Error(columnValidation.error)
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const searchType = params.searchType || 'websearch'
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const language = params.language || 'english'
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const languageValidation = validateDatabaseIdentifier(language, 'language')
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if (!languageValidation.isValid) throw new Error(languageValidation.error)
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let url = `${supabaseBaseUrl(params.projectId)}/rest/v1/${encodeURIComponent(params.table)}?select=*`
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// Map search types to PostgREST operators
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// plfts = plainto_tsquery (natural language), phfts = phraseto_tsquery, wfts = websearch_to_tsquery
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const operatorMap: Record<string, string> = {
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plain: 'plfts',
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phrase: 'phfts',
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websearch: 'wfts',
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}
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const operator = operatorMap[searchType] || 'wfts'
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// Add text search filter using PostgREST syntax
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url += `&${params.column}=${operator}(${language}).${encodeURIComponent(params.query)}`
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// Add limit if provided
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if (params.limit !== undefined && params.limit !== null) {
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url += `&limit=${Number(params.limit)}`
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}
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// Add offset if provided
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if (params.offset !== undefined && params.offset !== null) {
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url += `&offset=${Number(params.offset)}`
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}
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return url
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},
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method: 'GET',
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headers: (params) => {
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const headers: Record<string, string> = {
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apikey: params.apiKey,
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Authorization: `Bearer ${params.apiKey}`,
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}
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if (params.schema) {
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headers['Accept-Profile'] = params.schema
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}
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return headers
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},
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},
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transformResponse: async (response: Response) => {
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let data
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try {
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data = await response.json()
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} catch (parseError) {
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throw new Error(`Failed to parse Supabase text search response: ${parseError}`)
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}
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if (!response.ok && data?.message) {
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const errorMessage = data.message
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if (errorMessage.includes('to_tsvector') && errorMessage.includes('does not exist')) {
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throw new Error(
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'Full-text search can only be performed on text columns. The selected column appears to be a non-text type (e.g., integer, boolean). Please select a text/varchar column or use a different operation.'
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)
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}
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if (errorMessage.includes('column') && errorMessage.includes('does not exist')) {
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throw new Error(`The specified column does not exist in the table. Error: ${errorMessage}`)
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}
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throw new Error(errorMessage)
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}
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const rowCount = Array.isArray(data) ? data.length : 0
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if (rowCount === 0) {
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return {
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success: true,
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output: {
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message: 'No results found matching the search query',
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results: data,
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},
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error: undefined,
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}
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}
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return {
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success: true,
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output: {
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message: `Successfully found ${rowCount} result${rowCount === 1 ? '' : 's'}`,
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results: data,
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},
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error: undefined,
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}
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},
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outputs: {
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message: { type: 'string', description: 'Operation status message' },
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results: { type: 'array', description: 'Array of records matching the search query' },
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},
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}
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