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ARCHIVED. 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).

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AnyChart/Node.js-Report-Server

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AnyChart - Robust JavaScript/HTML5 Chart library for any project

NPM VersionNPM DownloadsPackage Quality

AnyChart Node.js Report Server

AnyChart Node.js Report Server is a lightweight web server that provides API for generatingvector graphics (PDF, SVG, or PS),bitmap images (PNG, JPG, or TIFF),PDF reports, anddata 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.

Installation

Prerequisite

  1. Make sure you have nodejs is installed. Navigate tohttps://nodejs.org/en/download/ to get it.

  2. ImageMagick andlibrsvg 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:

AnyChart Report Server

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.gitnpm installnpm link

Running

To run the server:

> anychart-report-server [arguments]1:32:48 PM - info:    Export server listening on port 3000!

Options

NameTypeDescription
portnumberTCP port
output-dirstringOutput folder.
disable-scripts-executingbooleanDisable or enable scripts.
log-levelstringLog level: error, warn, info, verbose, debug, silly
log-filestringPath to log file, by default log goes only to a console output.
disable-playgroundbooleanTurns on and off playground app that is accessible in /playground )

Tutorials

coming soon

Contributions are welcomed!

  • Running AnyChart Export Server on Digital Ocean
  • Running AnyChart Export Server on AWS S2
  • Running AnyChart Export Server on Microsoft Asure

Server API

Generate PDF report

Generate PDF reports with anychart charts, text, columns, tables, and images.

POST /pdf-report

Input

NameTypeDescription
file_namestringFile name. Used whenresponse_type set tofile.
datajavascript stringInput data.Data format description.
response_typestringOutput data format. Possible values:file,base64 orurl. Default:file
resourcesArray.External resources to be included in the process of image generation, seeExternal Resources.

Example

{"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

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

Response

HTTP/1.1 200 OKContent-Type: application/json; charset=utf-8
{"data":"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Generate vector image - PDF/SVG/PS

Generate vector images. PDF and PS files allow quality scaling and copying texts.

POST /vector-image

Input

NameTypeDescription
datastringrequired Input data. JavaScript, SVG, JSON or XML.
data_typestringrequired Type of input data:javascript,svg,json,xml
file_namestringFile name, ifresponse_type set tofile
file_typestringOutput file type. Possible values:PDF,SVG orPS. Defauilt:PDF
response_typestringOutput data format. Possible values:file,base64 orurl. Default:file
resourcesArray.External resources to be included in process of image generation, seeExternal Resources for details.
widthnumberOutput image width
heightnumberOutput image height
aspect-ratiobooleanWhether to preserve the aspect ratio (default: false)
backgroundstringSet the background color (black, white, #abccee, #aaa and etc. default: none)

Example

{  "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

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

Response

HTTP/1.1 200 OKContent-Type:application/json; charset=utf-8
{"data":"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"}

Generate raster image - PNG/JPG/TIFF

Generate raster images from charts.

POST /raster-image

Input

NameTypeDescription
datastringrequired Input data. JavaScript, SVG, JSON or XML string.
data_typestringrequired Type of input data. Possible values:javascript,svg,json orxml
file_namestringFile name. Needed whenresponse_type is set tofile
file_typestringOutput file type. Possible values:PNG,JPG orTIFF. Default:PNG
response_typestringOutput data format. Possible values:file,base64 orurl. Default:file
resourcesArray.External resources to be included in process of image generation, seeExternal Resources for details.
background???Background color
borderArray.<number>Surround the image with a border of color [width, height]
blurArray.<number>Accepts a radius and optional sigma (standard deviation). [radius [, sigma]]
contrastnumberIncreases or reduces the image contrast. Accepts a multiplier. [+-]multiplier
cropArray.<number>Crops the image to the given width and height at the given x and y position. [width, height, x, y]
frameArray.<number>Surround the image with an ornamental border. [width, height, outer bevel width, inner bevel width]
gammanumberLevel 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.
noizestring, numberAdd 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.
qualitynumberAdjusts the jpeg, png, tiff compression level. Value ranges from 0 to 100 (best).

Example

{  "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

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

Response

HTTP/1.1 200 OKContent-Disposition:attachment; filename=anychart.pngContent-Type: image/png

Export as data file - CSV/XLSX (Excel)

Export chart data as CSV or XLSX file.

POST /data-file

Input

NameTypeDescription
file_namestringFile name. Works whenresponse_type is set tofile
file_typestringOutput file type. Possible values:CSV orXLSX. Default:XLSX
datastringInput data. CSV string.
response_typestringOutput data format. Possible values:file,url. Default:file

Example

{  "file_name": "anychart.xlsx",  "data": "x,value\n0,10\n1,20\n2,8\n3,5\n4,12\n5,9",  "response_type": "file"}

Curl

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

Response

HTTP/1.1 200 OKContent-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheetContent-Disposition: attachment; filename=anychart.xlsx

Get server status

coming soon

External resources

coming soon

External resources are required when:

  • You need external data files
  • You need to add geo data
  • You need image for hatch fill or image fill

Security recommendations

coming soon

  • allow access origin
  • https
  • authorization

System recommendations

coming soon

  • supervisor
  • performance
  • logging

CJK and Custom fonts

coming soon

Troubleshooting

coming soon

  • check image magic and librsvg are installed
  • curl /status
  • check fonts are installed

Tests

coming soon

  • how to run
  • how to add new

License

© AnyChart.com - JavaScript charts. AnyChart Export Server released under theApache 2.0 License.

About

ARCHIVED. 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).

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