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| import fetch from 'node-fetch'; | |
| import { TeaQLClient, QueryParser } from '../../../../src'; | |
| import { Q } from '../../ts-lib-core/src/generated/Q'; | |
| // 1. Initialize TFP Client, pointing to the Rust backend | |
| const client = new TeaQLClient({ | |
| baseUrl: 'http://127.0.0.1:3001', | |
| fetch: fetch as any | |
| }); | |
| // 2. Prepare request context | |
| const ctx = { client }; | |
| async function runDynamicExamples() { | |
| try { | |
| console.log("=== Dynamic String Query Examples ==="); | |
| // Example A: Dynamic filtering query | |
| const filterQuery = 'Q.tasks().withNameContaining("bug")'; | |
| console.log(`[Execution]: ${filterQuery}`); | |
| // Parse the string DSL into AST and execute (pass entry object Q) | |
| const filterRequest = QueryParser.parse(filterQuery, Q); | |
| const filterResult = await filterRequest.executeForList(ctx); | |
| console.log("Result:", filterResult); | |
| // Example B: Dynamic aggregation and grouping | |
| const userQueryStr = 'Q.tasks().withNameContaining("bug").facetByStatusAs("statusFacet", Q.taskStatuses().count())'; | |
| console.log(`\n[Execution]: ${userQueryStr}`); | |
| const aggRequest = QueryParser.parse(userQueryStr, Q); | |
| const aggResult = await aggRequest.executeForList(ctx); | |
| console.log("Result:", aggResult); | |
| } catch (err) { | |
| console.error("Query execution failed:", err); | |
| } | |
| } | |
| runDynamicExamples(); | |