* fix(3805): schema-aware log_to_state row appending in fast.md REPRO: fast.md log_to_state unconditionally echoed a hardcoded 4-cell row (| date | fast | task | ✅ |) into STATE.md. When quick.md Step 7 had already created the "Quick Tasks Completed" table with 5 columns (| # | Description | Date | Commit | Directory |), fast.md appended a malformed 4-cell row → broken Markdown table. FIX: fast.md log_to_state now reads the existing table header, counts columns, and checks for the expected column names from quick.md Step 7. If the 5-column schema is confirmed, it appends a properly-formed 5-cell row. If the schema is unrecognized, it skips the write with a warning rather than corrupt the table. Pattern source: quick.md Step 7 (schema-aware matching). ANTI-PATTERN SWEEP: Only fast.md and quick.md contain direct STATE.md table writes in workflows/. quick.md Step 7 is already schema-aware. No other workflow candidates found. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: add changeset for #3805 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
144 lines
6.4 KiB
JavaScript
144 lines
6.4 KiB
JavaScript
'use strict';
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// allow-test-rule: source-text-is-the-product
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// Reads get-shit-done/workflows/fast.md whose deployed text IS the product —
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// the workflow markdown is executed verbatim by LLM runtimes.
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/**
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* #3805 — fast.md log_to_state appends a schema-blind 4-column row to the
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* 5-column "Quick Tasks Completed" table created by quick.md Step 7.
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*
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* quick.md Step 7 creates the table with 5 columns:
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* | # | Description | Date | Commit | Directory |
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*
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* Before this fix, fast.md's log_to_state step appended a hardcoded 4-cell
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* row unconditionally:
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* echo "| $(date +%Y-%m-%d) | fast | $TASK | ✅ |" >> .planning/STATE.md
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*
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* This produces malformed Markdown when the existing table has a different
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* column count.
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*
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* Covers:
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* - fast.md does NOT contain the hardcoded 4-cell echo template
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* - fast.md log_to_state step reads/introspects the existing table header
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* before appending (schema-aware insertion)
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* - fast.md log_to_state step matches the 5-column schema from quick.md
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* Step 7 when that table is present
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* - fast.md log_to_state step skips (does not corrupt) the STATE.md write
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* when the table schema is unrecognized
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*/
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const { test, describe } = require('node:test');
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const assert = require('node:assert/strict');
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const fs = require('node:fs');
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const path = require('node:path');
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const REPO_ROOT = path.join(__dirname, '..');
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const FAST_MD_PATH = path.join(REPO_ROOT, 'get-shit-done', 'workflows', 'fast.md');
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// The 5-column schema defined in quick.md Step 7 (non-validate mode).
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// Column count is 5: # | Description | Date | Commit | Directory
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// Named constant for traceability — mirrors quick.md Step 7's table header.
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const QUICK_MD_STEP7_COL_COUNT = 5;
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const QUICK_MD_STEP7_COLUMNS = ['#', 'Description', 'Date', 'Commit', 'Directory'];
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describe('bug #3805: fast.md log_to_state must be schema-aware', () => {
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let fastMdContent;
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test('fast.md workflow file exists and is readable', () => {
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assert.ok(fs.existsSync(FAST_MD_PATH), `fast.md not found at ${FAST_MD_PATH}`);
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fastMdContent = fs.readFileSync(FAST_MD_PATH, 'utf-8');
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});
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test('fast.md log_to_state step does NOT hardcode a 4-cell row template', () => {
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// The old broken template: | date | fast | task | ✅ |
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// This regex matches the exact hardcoded pattern that ignores table schema.
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// A 4-cell row has exactly 4 pipe-delimited fields plus the surrounding pipes.
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const hardcoded4CellPattern = /echo\s+["'][|][^|]*[|][^|]*[|][^|]*[|][^|]*[|]\s*["']/;
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const match = fastMdContent.match(hardcoded4CellPattern);
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assert.ok(
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!match,
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[
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'fast.md log_to_state still contains the hardcoded 4-cell row template:',
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` "${match?.[0]}"`,
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'This appends a malformed row to the 5-column Quick Tasks Completed table',
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'created by quick.md Step 7.',
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`Expected table schema (${QUICK_MD_STEP7_COL_COUNT} cols): | ${QUICK_MD_STEP7_COLUMNS.join(' | ')} |`,
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].join('\n')
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);
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});
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test('fast.md log_to_state step reads the existing table header (schema introspection)', () => {
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// The fix must inspect the existing STATE.md table header before appending.
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// Acceptable signals: reading STATE.md content, grepping for the header line,
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// or parsing columns from the header row.
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const hasHeaderRead =
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// Reads STATE.md to inspect it (awk/sed/grep on the file for header detection)
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/grep.*Quick Tasks Completed.*STATE\.md/.test(fastMdContent) ||
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/awk.*Quick Tasks Completed/.test(fastMdContent) ||
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/sed.*Quick Tasks Completed/.test(fastMdContent) ||
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// Reads the header line explicitly (head -n, sed -n, awk NR==)
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/head\s+-n/.test(fastMdContent) && /STATE\.md/.test(fastMdContent) ||
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// Counts pipe separators / columns from existing header
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/col.*count|column.*count|count.*col|NF|awk.*\|/.test(fastMdContent) ||
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// References schema detection in prose
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/schema|header|column\s+count|existing.*table/.test(fastMdContent);
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assert.ok(
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hasHeaderRead,
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[
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'fast.md log_to_state step does not appear to introspect the existing table schema.',
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'The step must read the STATE.md table header to detect column count before appending.',
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'quick.md Step 7 uses schema-aware matching — fast.md must follow the same discipline.',
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].join('\n')
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);
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});
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test('fast.md log_to_state step references the 5-column quick.md schema', () => {
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// The fix must handle the 5-col schema: | # | Description | Date | Commit | Directory |
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// Test that all 5 column names appear in the log_to_state step's context.
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// Extract the log_to_state step content to scope the check.
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const logToStateMatch = fastMdContent.match(/<step name="log_to_state">([\s\S]*?)<\/step>/);
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assert.ok(logToStateMatch, 'fast.md must contain a <step name="log_to_state"> element');
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const stepContent = logToStateMatch[1];
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// All 5 column names from quick.md Step 7 must be referenced in the step.
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for (const col of QUICK_MD_STEP7_COLUMNS) {
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assert.ok(
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stepContent.toLowerCase().includes(col.toLowerCase()),
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[
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`fast.md log_to_state step does not reference column "${col}"`,
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`Expected all 5 columns from quick.md Step 7: ${QUICK_MD_STEP7_COLUMNS.join(', ')}`,
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`(${QUICK_MD_STEP7_COL_COUNT}-column schema)`,
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].join('\n')
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);
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}
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});
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test('fast.md log_to_state step skips STATE.md write on unrecognized schema', () => {
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// The fix must not blindly append when the table schema is unknown.
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// Check for a guard that skips or logs rather than corrupting the file.
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const logToStateMatch = fastMdContent.match(/<step name="log_to_state">([\s\S]*?)<\/step>/);
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assert.ok(logToStateMatch, 'fast.md must contain a <step name="log_to_state"> element');
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const stepContent = logToStateMatch[1];
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// Must have a skip/guard path for unrecognized schemas
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const hasSkipGuard =
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/skip/i.test(stepContent) ||
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/unrecognized|unknown|mismatch/i.test(stepContent) ||
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/else\b/.test(stepContent) ||
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/warn|log/i.test(stepContent);
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assert.ok(
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hasSkipGuard,
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[
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'fast.md log_to_state step does not appear to guard against unrecognized table schemas.',
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'When the existing STATE.md table does not match an expected schema,',
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'the step must skip the write (with a brief log) rather than append a malformed row.',
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].join('\n')
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);
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});
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});
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