tpmjs/packages/tools/official/csv-parse
Ajax Davis 5d2096fb5d feat: add 100+ official TPMJS tools
Implements a comprehensive suite of AI SDK v6 tools across multiple categories:

- Research (5): page-brief, compare-pages, source-credibility, claim-checklist, timeline-from-text
- Web (10): fetch-text, links-catalog, extract-meta, extract-json-ld, redirect-trace, sitemap-read, rss-read, table-extract, robots-policy, url-normalize
- Data (15): csv-parse, csv-stringify, json-repair, json-schema-validate, yaml-parse, yaml-stringify, text-chunk, normalize-whitespace, dedupe-by-key, pivot, rows-filter, rows-sort, rows-group-aggregate, rows-join, schema-infer
- Doc (12): toc-generate, glossary-build, faq-from-text, executive-brief, decision-record-adr, prd-outline, acceptance-criteria, style-rewrite
- Eng (12): diff-text-unified, env-var-docs-generate, dependency-audit-lite, conventional-commit-suggest, markdown-lint-basic, test-case-generate, stacktrace-parse, release-notes, changelog-entry, release-checklist
- Security (7): redact-secrets, secret-scan-text, url-risk-heuristic, csp-compose, hardening-checklist-web, access-control-matrix, data-classification-heuristic
- Stats (9): effect-size-suite, bootstrap-ci, permutation-test, multiple-testing-adjust, linear-regression-ols, logistic-regression, time-series-decompose-lite, anomaly-detect-mad
- Ops (7): slo-draft, runbook-draft, postmortem-draft, postmortem-action-extractor, error-log-triage, coverage-tracker, monitoring-gap-analysis
- Agent (15): prompt-to-workflow-skeleton, workflow-validate-io, workflow-explain, workflow-cost-estimate, tool-call-accuracy-score, eval-fixture-build, guardrail-policy-draft, workflow-auto-repair, tool-selection-plan, novelty-score-workflow, workflow-variant-generate, config-normalize, recipe-*
- Utility (8): base64-encode, base64-decode, hash-text, regex-extract, template-render, date-parse, json-path-query, url-parse
- HTML (3): html-sanitize, html-to-markdown, markdown-to-html

All tools follow AI SDK v6 pattern with tool() and jsonSchema<T>().

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-31 22:55:56 +10:00
..
src feat: add 100+ official TPMJS tools 2025-12-31 22:55:56 +10:00
package.json feat: add 100+ official TPMJS tools 2025-12-31 22:55:56 +10:00
README.md feat: add 100+ official TPMJS tools 2025-12-31 22:55:56 +10:00
tsconfig.json feat: add 100+ official TPMJS tools 2025-12-31 22:55:56 +10:00
tsup.config.ts feat: add 100+ official TPMJS tools 2025-12-31 22:55:56 +10:00

@tpmjs/tools-csv-parse

Parse CSV text into array of objects using papaparse.

Installation

npm install @tpmjs/tools-csv-parse
# or
pnpm add @tpmjs/tools-csv-parse
# or
yarn add @tpmjs/tools-csv-parse

Usage

With Vercel AI SDK

import { csvParseTool } from '@tpmjs/tools-csv-parse';
import { generateText } from 'ai';

const result = await generateText({
  model: yourModel,
  tools: {
    csvParse: csvParseTool,
  },
  prompt: 'Parse this CSV data and tell me the average age: name,age\nAlice,25\nBob,30\nCharlie,35',
});

Direct Usage

import { csvParseTool } from '@tpmjs/tools-csv-parse';

const result = await csvParseTool.execute({
  csv: `name,age,city
Alice,25,New York
Bob,30,San Francisco
Charlie,35,Boston`,
  hasHeaders: true,
});

console.log(result);
// {
//   rows: [
//     { name: 'Alice', age: 25, city: 'New York' },
//     { name: 'Bob', age: 30, city: 'San Francisco' },
//     { name: 'Charlie', age: 35, city: 'Boston' }
//   ],
//   headers: ['name', 'age', 'city'],
//   rowCount: 3,
//   metadata: {
//     parsedAt: '2025-01-15T12:00:00.000Z',
//     hasErrors: false,
//     errorCount: 0
//   }
// }

Features

  • Automatic Type Inference - Numbers and booleans are automatically converted
  • Header Detection - Automatically uses first row as headers or generates generic ones
  • Error Handling - Reports parsing errors with row numbers
  • Data Cleaning - Trims whitespace from headers and values
  • Empty Line Handling - Automatically skips empty lines

Parameters

Parameter Type Required Default Description
csv string Yes - The CSV text to parse
hasHeaders boolean No true Whether the first row contains headers

Returns

{
  rows: Record<string, string | number | boolean | null>[];
  headers: string[];
  rowCount: number;
  metadata: {
    parsedAt: string;
    hasErrors: boolean;
    errorCount: number;
    errors?: Array<{
      row: number;
      message: string;
    }>;
  };
}

Examples

CSV with Headers

const result = await csvParseTool.execute({
  csv: 'product,price,inStock\nLaptop,999.99,true\nMouse,29.99,false',
});
// rows: [
//   { product: 'Laptop', price: 999.99, inStock: true },
//   { product: 'Mouse', price: 29.99, inStock: false }
// ]

CSV without Headers

const result = await csvParseTool.execute({
  csv: 'Alice,25,Engineer\nBob,30,Designer',
  hasHeaders: false,
});
// rows: [
//   { col_0: 'Alice', col_1: 25, col_2: 'Engineer' },
//   { col_0: 'Bob', col_1: 30, col_2: 'Designer' }
// ]

Handling Errors

const result = await csvParseTool.execute({
  csv: 'name,age\nAlice,25\nBob,invalid\nCharlie,35',
});
// metadata.hasErrors: true
// metadata.errors: [{ row: 1, message: '...' }]

License

MIT