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WalkthroughThis pull request introduces modifications to the XLSX extractor plugin, focusing on improving header row processing. The changes primarily target the Changes
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Actionable comments posted: 3
🧹 Nitpick comments (2)
plugins/xlsx-extractor/src/utils.ts (1)
1-11: Ensure consistent header naming when headers are duplicatedThe
prependNonUniqueHeaderColumnsfunction correctly handles duplicate headers by appending a count suffix. However, starting the count from zero might be confusing for end-users. Consider starting the count from 1 to improve readability.Apply this diff to start the count from 1:
export function prependNonUniqueHeaderColumns(headers: string[]): string[] { const counts = new Map<string, number>() return headers.map((value) => { const cleanValue = (value || 'empty').replace('*', '') const count = counts.get(cleanValue) || 0 + counts.set(cleanValue, count + 1) - return count ? `${cleanValue}_${count}` : cleanValue + return count ? `${cleanValue}_${count + 1}` : cleanValue }) }plugins/xlsx-extractor/src/parser.ts (1)
130-132: Optimize removal of trailing empty rowsThe loop for removing trailing empty rows is effective but can be inefficient for large datasets with many empty rows at the end. Consider using a reverse loop for better performance.
Apply this diff to use a reverse loop:
// remove **trailing** empty rows -while (rows.length > 0 && rows[rows.length - 1].every(isNullOrWhitespace)) { - rows.pop() -} +for (let i = rows.length - 1; i >= 0; i--) { + if (rows[i].every(isNullOrWhitespace)) { + rows.splice(i, 1) + } else { + break + } +}
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🔇 Additional comments (1)
plugins/xlsx-extractor/src/parser.ts (1)
161-164: Ensure headers and data rows are correctly alignedWhen
headerSelectionEnabledistrue,excelHeadersmay include more columns thanslicedHeader, potentially causing misalignment between headers and data rows. Verify that the slicing ofexcelHeaderscorrectly matches the data columns.Run the following script to compare the lengths of headers and data rows:
| export const isNullOrWhitespace = (value: any) => | ||
| value === null || (typeof value === 'string' && value.trim() === '') |
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Handle undefined values in isNullOrWhitespace function
The isNullOrWhitespace function checks for null and empty strings but does not account for undefined values. This may lead to unexpected behavior if undefined values are present in the data. Consider updating the function to handle undefined values as well.
Apply this diff to include undefined in the null checks:
export const isNullOrWhitespace = (value: any) =>
- value === null || (typeof value === 'string' && value.trim() === '')
+ value == null || (typeof value === 'string' && value.trim() === '')📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| export const isNullOrWhitespace = (value: any) => | |
| value === null || (typeof value === 'string' && value.trim() === '') | |
| export const isNullOrWhitespace = (value: any) => | |
| value == null || (typeof value === 'string' && value.trim() === '') |
| export const trimTrailingEmptyCells = (row: string[]): string[] => { | ||
| let lastNonNullIndex = 0 | ||
| for (let i = 0; i < row.length; i++) { | ||
| if (!isNullOrWhitespace(row[i])) { | ||
| lastNonNullIndex = i | ||
| } | ||
| } | ||
|
|
||
| return result | ||
| return row.slice(0, lastNonNullIndex + 1) |
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Correct handling when all cells are empty in trimTrailingEmptyCells
If all cells in the row are empty or whitespace, the lastNonNullIndex remains at 0, resulting in the function returning an array with one empty element. This may not be the intended behavior. Consider modifying the function to return an empty array when all cells are empty.
Apply this diff to adjust the function logic:
export const trimTrailingEmptyCells = (row: string[]): string[] => {
- let lastNonNullIndex = 0
+ let lastNonNullIndex = -1
for (let i = 0; i < row.length; i++) {
if (!isNullOrWhitespace(row[i])) {
lastNonNullIndex = i
}
}
- return row.slice(0, lastNonNullIndex + 1)
+ return lastNonNullIndex >= 0 ? row.slice(0, lastNonNullIndex + 1) : []
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| export const trimTrailingEmptyCells = (row: string[]): string[] => { | |
| let lastNonNullIndex = 0 | |
| for (let i = 0; i < row.length; i++) { | |
| if (!isNullOrWhitespace(row[i])) { | |
| lastNonNullIndex = i | |
| } | |
| } | |
| return result | |
| return row.slice(0, lastNonNullIndex + 1) | |
| export const trimTrailingEmptyCells = (row: string[]): string[] => { | |
| let lastNonNullIndex = -1 | |
| for (let i = 0; i < row.length; i++) { | |
| if (!isNullOrWhitespace(row[i])) { | |
| lastNonNullIndex = i | |
| } | |
| } | |
| return lastNonNullIndex >= 0 ? row.slice(0, lastNonNullIndex + 1) : [] | |
| } |
| row.reduce((acc, value, index) => { | ||
| const header = headers[index] | ||
| if (header) { | ||
| acc[header] = { value } | ||
| } | ||
| return acc | ||
| }, {}) | ||
| ) | ||
|
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🛠️ Refactor suggestion
Handle potential undefined headers in data mapping
In the data mapping, if a row has more values than there are headers, headers[index] may be undefined, resulting in data being dropped silently. Consider adding a warning or handling extra values explicitly.
Apply this diff to log a warning for rows with extra values:
const data = rows.map((row) =>
row.reduce((acc, value, index) => {
const header = headers[index]
if (header) {
acc[header] = { value }
+ } else {
+ console.warn(\`No header found for column index \${index} in row \${JSON.stringify(row)}\`)
}
return acc
}, {})
)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| row.reduce((acc, value, index) => { | |
| const header = headers[index] | |
| if (header) { | |
| acc[header] = { value } | |
| } | |
| return acc | |
| }, {}) | |
| ) | |
| row.reduce((acc, value, index) => { | |
| const header = headers[index] | |
| if (header) { | |
| acc[header] = { value } | |
| } else { | |
| console.warn(`No header found for column index ${index} in row ${JSON.stringify(row)}`) | |
| } | |
| return acc | |
| }, {}) | |
| ) |
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Actionable comments posted: 0
🧹 Nitpick comments (2)
plugins/xlsx-extractor/src/utils.spec.ts (2)
28-29: Document the asterisk removal behavior.Consider adding a comment explaining why asterisks are removed from values. This seems like a specific requirement that future maintainers should understand.
+ // Asterisks are removed as they might be used for special notation in Excel it('should remove asterisks from values', () => {
42-43: LGTM! Consider documenting case sensitivity.The test correctly verifies case-sensitive behavior. Consider adding a brief comment explaining why case sensitivity is important for header values.
+ // Headers maintain their original case to preserve Excel formatting it('should handle case sensitivity correctly', () => {
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🔇 Additional comments (5)
plugins/xlsx-extractor/src/utils.spec.ts (5)
14-15: LGTM! Good test coverage for duplicate values.The test case effectively verifies the deduplication logic with clear expected outcomes.
35-36: LGTM! Comprehensive test for mixed scenarios.Good coverage of combined cases ensuring consistent behavior across different value types.
21-22: Add test coverage for null values.While the test handles empty strings well, consider adding explicit test cases for
nullvalues to ensure both empty strings and nulls are handled consistently.Example:
const input = [null, 'value', null] const expected = ['empty', 'value', 'empty_1']
7-8: Add test coverage for trailing null cells.While this test case correctly verifies unique value handling, consider adding test cases that specifically verify the removal of trailing null header cells to align with the PR objective (issue #1699).
Example:
const input = ['value1', 'value2', null, null] const expected = ['value1', 'value2']
Line range hint
1-47: Add dedicated test suite for trailing null cells.To fully validate the PR's objective (issue #1699), consider adding a dedicated describe block for trailing null cell scenarios:
describe('trailing null cell handling', () => { it('should remove trailing null cells', () => { const input = ['header1', 'header2', null, null] const expected = ['header1', 'header2'] expect(prependNonUniqueHeaderColumns(input)).toEqual(expected) }) it('should preserve null cells between valid headers', () => { const input = ['header1', null, 'header2', null, null] const expected = ['header1', 'empty', 'header2'] expect(prependNonUniqueHeaderColumns(input)).toEqual(expected) }) })
2 participants
Closes: https://github.com/FlatFilers/support-triage/issues/1699
Please explain how to summarize this PR for the Changelog:
The PR closes https://github.com/FlatFilers/support-triage/issues/1699 by removing the trailing null header cells after the last non-null header cell.
Tell code reviewer how and what to test: