Description
Plant an uppercase duplicate column and an empty header in a supplied table, then retain exact duplicate positions and lowercase, blank-name and reserved-suffix repair answers.
CSV stores records as delimited text fields. Quoting can protect embedded delimiters and newlines, so a record need not equal one physical line. Cleaning field contents, interpreting their types, and preserving an exact import/export round trip are separate operations.
Plant an uppercase duplicate column and an empty header in a supplied table, then retain exact duplicate positions and lowercase, blank-name and reserved-suffix repair answers.
When to use this tool
Use this generator to create reproducible csv header repair exercise cases from the supplied model or bank. Inspect the returned evidence before using cases in a test or exercise.
How to use the tool and how it works
- Supply headers, rows in the field shapes below. Set seed when you need an explicit replay.
- Run the tool and correct any input error. For generated controls, distinguish a successful fixture containing an invalid case from failure to generate the fixture.
- Read damagedHeaders, repairedHeaders, rows, duplicateIndices, csv, repairedCsv. Use the conventions below. Keep answer-bearing fields separate when presenting an exercise.
Require original headers unique after trim/lowercase normalization, uppercase one sampled header, append its duplicate and a blank header, and extend data rows accordingly. Detect raw duplicates and repair normalized names using fallback names and suffix counters.1
Delegated operations used for this result: duplicate header detector; header dedupe suffix counter. Their calculation or parsing conventions apply to the corresponding result fields.2, 3
| Input field | Meaning and units | Accepted input |
|---|---|---|
| headers | Headers | Required. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 1; maximum items 8. |
| rows | Rows | Required. Array of Array of Text; maximum UTF-16 length 64.; minimum items 1; maximum items 8.; minimum items 1; maximum items 32. |
| seed | Optional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed. | Optional. Safe integer. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| damagedHeaders | Damaged Headers | Required. Array of Text; maximum UTF-16 length 192.; minimum items 0; maximum items 10. |
| repairedHeaders | Repaired Headers | Required. Array of Text; maximum UTF-16 length 400.; minimum items 0; maximum items 10. |
| rows | Rows | Required. Array of Array of Text; maximum UTF-16 length 256.; minimum items 1; maximum items 10.; minimum items 0; maximum items 128. |
| duplicateIndices | Duplicate Indices | Required. Array of Array of Safe integer; minimum 0.; minimum items 0; maximum items 10.; minimum items 0; maximum items 10. |
| csv | Csv | Required. Text; maximum UTF-16 length 100000. |
| repairedCsv | Repaired Csv | Required. Text; maximum UTF-16 length 100000. |
| randomness | Replay source and normalized 32-bit seed, or null seed for an advancing context source. | Required. Object; no unknown keys. |
| randomness.seed | Optional safe-integer replay seed; normalization and precedence are explained below. | Required. Safe integer. or Null. |
| randomness.source | Source | Required. Text; one of "context", "seed". |
An explicit safe-integer seed takes precedence over injected context randomness and is normalized to an unsigned 32-bit integer. With no seed and no context source, replay uses the fixed tool.io default seed. A context source must return finite values from zero inclusive to one exclusive; its advancing state must be retained separately. randomness records the source and normalized seed, or null for context. These generators are not cryptographic random sources.
{
"input": {
"headers": [
"id",
"name"
],
"rows": [
[
"01",
"Ada"
]
],
"seed": 42
},
"output": {
"damagedHeaders": [
"id",
"NAME",
"NAME",
""
],
"repairedHeaders": [
"id",
"name",
"name_2",
"column_4"
],
"rows": [
[
"01",
"Ada",
"Ada",
""
]
],
"duplicateIndices": [
[
1,
2
]
],
"csv": "id,NAME,NAME,\n01,Ada,Ada,",
"repairedCsv": "id,name,name_2,column_4\n01,Ada,Ada,",
"randomness": {
"seed": 42,
"source": "seed"
}
}
}Limitations and assumptions
- The output has two extra columns, including a copy of the selected data column. Repair is deterministic naming, not semantic reconciliation or recovery of an intended schema.
- A replay requires the same complete input and implementation. The stated sampling convention applies within its eligible space. A finite draw does not exhaust all possible outputs; repeats remain possible unless a distinct-selection rule is explicit.
- The field tables state structural bounds; cross-field constraints and bounded search or output budgets also apply. Unknown keys are rejected where the object contract disallows them. Input errors are distinct from null fields and deliberate invalid controls in a successful output.
Alternative or Complementary methods
For a supplied example, inspect the returned construction or delegated check directly. To evaluate a consumer, also test cases chosen for its own boundaries; a generated finite corpus does not establish exhaustive coverage.
References
Similar or alternative tools
- Random CSV Mixed Type Repair Exercise Generator
Plant an incompatible question-mark cell in a supplied integer or Boolean column, retaining original typed values and an explicit restore-original cleaning policy alongside the lexical type audit.
- Random CSV Ragged Row Repair Exercise Generator
Mutate distinct supplied records of at least two fields by removing or appending one field, retaining pristine repair answers, field provenance and the CSV core's record-width audit.