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SnapOtterandGitHub
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Shared Claude Code translation pipeline (scripts/i18n, no API key) plus Astro/VitePress/Scalar i18n wiring. Landing and API reference translated into all 20 languages; docs i18n wiring + English source anchors. The translated docs markdown (apps/docs/<locale>/**, 3,620 files) follows in a companion PR because it exceeds GitHub's per-PR CI file limit.
51 lines
1.8 KiB
Markdown
51 lines
1.8 KiB
Markdown
---
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description: Create bar, line, or pie charts from CSV or JSON data.
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---
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# Chart Maker {#chart-maker}
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Create bar, line, or pie charts from CSV or JSON data. Returns a PNG image of the rendered chart.
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## API Endpoint {#api-endpoint}
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`POST /api/v1/tools/files/chart-maker`
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Accepts multipart form data with a CSV or JSON file and a JSON `settings` field.
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## Parameters {#parameters}
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| Parameter | Type | Required | Default | Description |
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|-----------|------|----------|---------|-------------|
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| kind | string | No | `"bar"` | Chart type: `bar`, `line`, `pie` |
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| title | string | No | - | Chart title (max 120 characters) |
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| width | integer | No | `960` | Chart width in pixels (320-2048) |
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| height | integer | No | `540` | Chart height in pixels (240-1536) |
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## Example Request {#example-request}
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```bash
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curl -X POST http://localhost:1349/api/v1/tools/files/chart-maker \
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-H "Authorization: Bearer si_your-api-key" \
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-F "file=@sales.csv" \
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-F 'settings={"kind": "line", "title": "Monthly Sales", "width": 960, "height": 540}'
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```
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## Example Response {#example-response}
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```json
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{
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"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"downloadUrl": "/api/v1/download/a1b2c3d4-e5f6-7890-abcd-ef1234567890/sales_chart.png",
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"originalSize": 1024,
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"processedSize": 48500
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}
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```
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## Notes {#notes}
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- Input must be a `.csv` or `.json` file. CSV files should have a header row with column names.
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- The first column is used as the category label; the second column must be numeric and provides the data values. Only two columns are used.
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- JSON input should be an array of `{label, value}` objects, or a plain object whose keys become labels and values become data points.
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- Maximum 100 data points. All values must be zero or greater.
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- Output is always a PNG image regardless of input format.
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