anychart-report-server
Advanced tools
AnyChart Node.js Report Server is a lightweight web server that provides API for generating vector graphics (PDF, SVG, or PS), bitmap images (PNG, JPG, or TIFF), PDF reports, and data in CSV and XLSX (Excel). It uses the JavaScript code as well as JSON an
AnyChart Node.js Report Server is a lightweight web server that provides API for generating vector graphics (PDF, SVG, or PS), bitmap images (PNG, JPG, or TIFF), PDF reports, and data in CSV and XLSX (Excel). It uses the JavaScript code as well as JSON and XML configurations as input data. The server is very easy to install and customize, you can run it on any major platform: Linux, Windows, and macOS. It is ideal for creating report systems that send charts via email or social network sharing tools.
Make sure you have nodejs is installed. Navigate to https://nodejs.org/en/download/ to get it.
ImageMagick and librsvg are required.
Install ImageMagick and librsvg on Linux:
apt-get install imagemagick librsvg2-dev
Install ImageMagick and librsvg on Mac OS X
brew install imagemagick librsvg
Install ImageMagick and librsvg on Windows:
Installl AnyChart Node.js Report Server using npm package manager:
npm install anychart-report-server -g
Or clone git repository:
git clone git@github.com:AnyChart/node-export-server.git
npm install
npm link
To run the server:
> anychart-report-server [arguments]
1:32:48 PM - info: Export server listening on port 3000!
| Name | Type | Description |
|---|---|---|
| port | number | TCP port |
| output-dir | string | Output folder. |
| disable-scripts-executing | boolean | Disable or enable scripts. |
| log-level | string | Log level: error, warn, info, verbose, debug, silly |
| log-file | string | Path to log file, by default log goes only to a console output. |
| disable-playground | boolean | Turns on and off playground app that is accessible in /playground ) |
coming soon
Contributions are welcomed!
Generate PDF reports with anychart charts, text, columns, tables, and images.
POST /pdf-report
| Name | Type | Description |
|---|---|---|
| file_name | string | File name. Used when response_type set to file. |
| data | javascript string | Input data. Data format description. |
| response_type | string | Output data format. Possible values: file, base64 or url. Default: file |
| resources | Array. | External resources to be included in the process of image generation, see External Resources. |
{
"response_type": "base64",
"data": "(function() {return {content: [{\"chart\": {\"data\": \"chart = anychart.line([1,2,3]); chart.container('custom_container_id').draw();\",\"dataType\": \"javascript\",\"containerId\": \"custom_container_id\"},\"fit\": [500, 500]}]}})();"
}
curl -H "Content-Type: application/json" -X POST -d '{"response_type":"base64","data":"(function() {return {content: [{\"chart\": {\"data\": \"chart = anychart.line([1,2,3]); chart.container('custom_container_id').draw();\",\"dataType\": \"javascript\",\"containerId\": \"custom_container_id\"},\"fit\": [500, 500]}]}})();"}' http://localhost:3000/pdf-report
HTTP/1.1 200 OK
Content-Type: application/json; charset=utf-8
{"data":"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"}
Generate vector images. PDF and PS files allow quality scaling and copying texts.
POST /vector-image
| Name | Type | Description |
|---|---|---|
| data | string | required Input data. JavaScript, SVG, JSON or XML. |
| data_type | string | required Type of input data: javascript, svg, json, xml |
| file_name | string | File name, if response_type set to file |
| file_type | string | Output file type. Possible values: PDF, SVG or PS. Defauilt: PDF |
| response_type | string | Output data format. Possible values: file, base64 or url. Default: file |
| resources | Array. | External resources to be included in process of image generation, see External Resources for details. |
| width | number | Output image width |
| height | number | Output image height |
| aspect-ratio | boolean | Whether to preserve the aspect ratio (default: false) |
| background | string | Set the background color (black, white, #abccee, #aaa and etc. default: none) |
{
"background": "#f00",
"aspect-ratio": true,
"width": 200,
"height": 1000,
"data_type": "javascript",
"file_type": "pdf",
"response_type": "base64",
"data": "var chart = anychart.pie(); chart.data([10, 20, 8, 5, 12, 9]); chart.container('container'); chart.draw();"
}
curl -H "Content-Type: application/json" -X POST -d '{"response_type":"base64","background": "#f00","aspect-ratio":true,"width":200,"height":1000,"data_type":"javascript","file_type":"pdf","data":"var chart=anychart.pie();chart.data([10, 20, 8, 5, 12, 9]);chart.container('container');chart.draw();"}' http://localhost:3000/vector-image
HTTP/1.1 200 OK
Content-Type:application/json; charset=utf-8
{"data":"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"}
Generate raster images from charts.
POST /raster-image
| Name | Type | Description |
|---|---|---|
| data | string | required Input data. JavaScript, SVG, JSON or XML string. |
| data_type | string | required Type of input data. Possible values: javascript, svg, json or xml |
| file_name | string | File name. Needed when response_type is set to file |
| file_type | string | Output file type. Possible values: PNG, JPG or TIFF. Default: PNG |
| response_type | string | Output data format. Possible values: file, base64 or url. Default: file |
| resources | Array. | External resources to be included in process of image generation, see External Resources for details. |
| background | ??? | Background color |
| border | Array.<number> | Surround the image with a border of color [width, height] |
| blur | Array.<number> | Accepts a radius and optional sigma (standard deviation). [radius [, sigma]] |
| contrast | number | Increases or reduces the image contrast. Accepts a multiplier. [+-]multiplier |
| crop | Array.<number> | Crops the image to the given width and height at the given x and y position. [width, height, x, y] |
| frame | Array.<number> | Surround the image with an ornamental border. [width, height, outer bevel width, inner bevel width] |
| gamma | number | Level of gamma correction. Reasonable values extend from 0.8 to 2.3. |
| monochrome | - | Transforms the image to black and white. |
| negative | - | Replaces every pixel with its complementary color. |
| noize | string, number | Add or reduce noise in the image. Radius or Type. To add noise pass one of the following: uniform, gaussian, multiplicative, impulse, laplacian, poisson. Otherwise the argument will be interpreted as a radius which adjusts the weight of the effect. |
| quality | number | Adjusts the jpeg, png, tiff compression level. Value ranges from 0 to 100 (best). |
{
"file_name": "anychart.png",
"data": "var chart = anychart.pie(); chart.data([10, 20, 8, 5, 12, 9]); chart.container('container'); chart.draw();",
"data_type": "script",
"response_type": "file"
}
curl -H "Content-Type: application/json" -X POST -d '{"file_name": "anychart.png","data": "var chart = anychart.pie(); chart.data([10, 20, 8, 5, 12, 9]); chart.container('container'); chart.draw();","data_type": "javascript","response_type": "file"}' http://localhost:3000/raster-image
HTTP/1.1 200 OK
Content-Disposition:attachment; filename=anychart.png
Content-Type: image/png
Export chart data as CSV or XLSX file.
POST /data-file
| Name | Type | Description |
|---|---|---|
| file_name | string | File name. Works when response_type is set to file |
| file_type | string | Output file type. Possible values: CSV or XLSX. Default: XLSX |
| data | string | Input data. CSV string. |
| response_type | string | Output data format. Possible values: file, url. Default: file |
{
"file_name": "anychart.xlsx",
"data": "x,value\n0,10\n1,20\n2,8\n3,5\n4,12\n5,9",
"response_type": "file"
}
curl -H "Content-Type: application/json" -X POST -d '{"file_name": "anychart.xlsx","data": "x,value\n0,10\n1,20\n2,8\n3,5\n4,12\n5,9","response_type": "file"}' http://localhost:3000/data-file -o anychart.xlsx
HTTP/1.1 200 OK
Content-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Content-Disposition: attachment; filename=anychart.xlsx
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External resources are required when:
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© AnyChart.com - JavaScript charts. AnyChart Export Server released under the Apache 2.0 License.
FAQs
AnyChart Node.js Report Server is a lightweight web server that provides API for generating vector graphics (PDF, SVG, or PS), bitmap images (PNG, JPG, or TIFF), PDF reports, and data in CSV and XLSX (Excel). It uses the JavaScript code as well as JSON an
The npm package anychart-report-server receives a total of 1 weekly downloads. As such, anychart-report-server popularity was classified as not popular.
We found that anychart-report-server demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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