Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/gherking/gpc-test-data
This precompiler can load external data (JSON, CSV, or XLS/XLSX) into exmaples table.
https://github.com/gherking/gpc-test-data
csv cucumber excel feature-file gherkin gherking gpc hacktoberfest json precompiler typescript
Last synced: 3 days ago
JSON representation
This precompiler can load external data (JSON, CSV, or XLS/XLSX) into exmaples table.
- Host: GitHub
- URL: https://github.com/gherking/gpc-test-data
- Owner: gherking
- License: mit
- Created: 2022-03-25T17:04:17.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2024-06-19T04:29:50.000Z (4 months ago)
- Last Synced: 2024-09-21T23:48:17.089Z (12 days ago)
- Topics: csv, cucumber, excel, feature-file, gherkin, gherking, gpc, hacktoberfest, json, precompiler, typescript
- Language: TypeScript
- Homepage: https://gherking.github.io/gpc-test-data/
- Size: 1 MB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Awesome Lists containing this project
README
# gpc-test-data
    
This precompiler can load external data (JSON, CSV, or XLS/XLSX) into the examples table.
## Usage
```javascript
'use strict';
const compiler = require('gherking');
const { default: TestData } = require('gpc-test-data');
let ast = await compiler.load('./features/src/login.feature');
ast = await compiler.process(
ast,
new TestData({
defaultValue: "-"
})
);
await compiler.save('./features/dist/login.feature', ast, {
lineBreak: '\r\n'
});
```
```typescript
'use strict';
import {load, process, save} from "gherking";
import TestData from "gpc-test-data";
let ast = await load("./features/src/login.feature");
ast = await process(
ast,
new TestData({
defaultValue: "-"
})
);
await save('./features/dist/login.feature', ast, {
lineBreak: '\r\n'
});
```
## Tags
In the feature file, for each Examples, one of the following tags can be set:
* `@load_json(path)` to load the data from a JSON file
* `@load_csv(path)` to load the data from a CSV file
* `@load_xls(path)` to load the data from an XLS/XLSX file, from the first sheet
* `@load_xls(path,sheet)` to load the data from an XLS/XLSX file, from the given sheet
* `@load_http(url)` to load the data from an HTTP source (a JSON response of an object array)
For each tag, the path must be either a relative (from `cwd`) or an absolute path to the file, including the file name and extension.
## Formats
There are some restrictions on the various data formats:
* For JSON, the content of the JSON file should be an array of objects, where the key of the object properties will be mapped to the examples columns.
* For CSV and XLS/XLSX, the first non-empty row must contain the header/column names, which will be mapped to the examples columns.
* For CSV, the [csv-parse](https://www.npmjs.com/package/csv-parse) tool is used to parse the CSV files, see its documentation for the particular specialties of its parsing and requirements for a CSV file (for parsing, an adaptive configuration is set - columns, skipping empty lines, trimming, auto-BOM, auto-delimiter).
* For XLS/XLSX, the [xlsx](https://www.npmjs.com/package/xlsx) tool is used to parse the XLS/XLSX files, see its documentation for the particular specialties of its parsing and requirements for an XLS/XLSX file (for parsing, an adaptive configuration if set - removing blank rows, skipping hidden rows, parsing number; additionally the CSV parsing options from the previous point).
## Configuration
The precompiler supports the following configuration options to be set:
| Option | Type | Description | Default |
| :----------------: | :--------------: | :---------------------------------------------------------------------------------------------------- | :------ |
| `keepTag` | `boolean` | Whether the load-tags should be kept or removed. | `false` |
| `defaultValue` | `string\|number` | The default value to be added to the table, if a column/value is not found. | `""` |
| `appendData` | `boolean` | Whether the loaded data should be appended to the existing rows of the examples table or overwritten. | `true` |
| `ignoreKeyCase` | `boolean` | Whether the casing of the example columns and data columns should be ignored. | `true` |
| `addSourceComment` | `boolean` | Whether a comment should be added to the example, indicating the source and the data type. | `false` |
| `allowEmptyData` | `boolean` | Whether empty data files are allowed to be loaded, or error should be thrown. | `false` |
## Other
This package uses [debug](https://www.npmjs.com/package/debug) for logging, use `gpc:test-data` :
```shell
DEBUG=gpc:test-data* gherking ...
```
For detailed documentation see the [TypeDocs documentation](https://gherking.github.io/gpc-test-data/).