All files / packages/icons/.claude/skills/icons-release/scripts/lib columns.js

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
'use strict'
 
/**
 * Resolve the master-CSV header row into known field indices.
 *
 * Matching is deterministic: each field maps to a normalized substring of the
 * header text. This tolerates minor header wording/casing differences without
 * ever guessing semantics. If a required column is missing the caller throws,
 * surfacing the headers it actually found.
 */
 
const FIELD_PATTERNS = {
  name: [/proposed icon/, /icon name/],
  designStatus: [/design status/],
  iconType: [/icon type/],
  color: [/icon colou?r/, /^colou?r$/],
  synonyms: [/synonym/],
  assetSubmitted: [/asset submitted/, /^asset/],
  targetBuild: [/target build/, /^build$/]
}
 
const REQUIRED_FIELDS = ['name', 'designStatus', 'iconType', 'assetSubmitted', 'targetBuild']
 
function normalize(header) {
  return String(header || '')
    .toLowerCase()
    .replace(/\s+/g, ' ')
    .trim()
}
 
function resolveColumns(headerRow) {
  const normalized = headerRow.map(normalize)
  const map = {}
 
  for (const [field, patterns] of Object.entries(FIELD_PATTERNS)) {
    const index = normalized.findIndex(h => patterns.some(p => p.test(h)))
    if (index !== -1) {
      map[field] = index
    }
  }
 
  const missing = REQUIRED_FIELDS.filter(field => map[field] === undefined)
  if (missing.length > 0) {
    const err = new Error(
      `Required CSV column(s) not found: ${missing.join(', ')}. ` +
        `Headers seen: [${headerRow.map(h => `"${h}"`).join(', ')}]`
    )
    err.code = 'MISSING_COLUMNS'
    throw err
  }
 
  return map
}
 
module.exports = { resolveColumns, REQUIRED_FIELDS }