AnyChart Export Server

Installation and running

Installation

Первым делом необходимо убедиться, что уставновлен nodejs. Перейдите на nodejs чтобы загрузить и установить его.

Установить можно через npm package manager:

npm install anychart-export-server -g

Или склонировав git репозиторий:

git clone git@github.com:AnyChart/node-export-server.git
npm install
npm link

Для работы сервера необходимо установить пакеты для работы с изображениями - ImageMagick и librsvg. Выберите способ установки относительно вашей платформы:

Ububntu

apt-get install imagemagick librsvg2-dev

Mac OS X

brew install imagemagick librsvg

Windows

Running

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

Options

Name	Type	Description
port	number	TCP port
output-dir	string	то куда будем сохранять все файлы
disable-scripts-executing	boolean	можно ли запускать скрипты
log-level	string	Уровень логирования, допустимые значения: error, warn, info, verbose, debug, silly
log-file	string	Путь до файла с логами, по умолчанию все логи валятся в консоль
disable-playground	boolean	Выключение приложения playground (который находится по роуту /playground )

Tutorials

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

Генерация PDF отчетов, включающих в себя форматирование текта, колонки, таблицы, изображение и anychart графики.

POST /pdf-report

Input

Name	Type	Description
file_name	string	Имя файла. Используется, если response_type задан как file
data	javascript string	Input data. Data format describered here.
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.

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 OK
Content-Type: application/json; charset=utf-8

{"data":"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Generate vector image - PDF/SVG/PS

Генерация векторных изображений на основе переданных данных чарта. PDF и PS файлы именно с векторным изображением чарта, что дает возможность масштабировать изображение без потери качества, а так же копировать текст.

POST /vector-image

Input

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	Имя файла. Актуально, если response_type задан как 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)

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 OK
Content-Type:application/json; charset=utf-8

{"data":"JVBERi0xLjUKJbXtrvsKMyAwIG9iago8PCAvTGVuZ3RoIDQgMCBSCiAgIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQp4nLVVy2obQRC8z1f0JeAc1O7HvPoayAcEBDmHJHIIdsDO/0NqdldCsnaVkyzwjranu6r6pdekND5vT/T4TejpbxISMhHSIvT2kw5J2MO0NBJuEl0yDlFzkzq8IljMqTUOp5fjV83K4oWeSU0YXqc36sGtj6dwUQOMcg5LpGocvdN3+pXeBR0cBjJ4ADtXa7ng0M2LxQqJJeYpJFhUZxOnKHAHeC0QpdTwtmTcb+yWKRUHNwUFzcFWjTyzS4CssUhHXlgztKiye0WYSdIG4/BmZfDMM09ZY3oZ6ZkicygQjFubrvUWw6qVICHA3YYETeuoOtIy0EaRfK7WNepFJICWMpFwZbNGuc/S4eNK2dmbjpfa8waqsDUpSDQwB/ZgsfTMNfhFQID7nIEmXFERJFyKUoCDZyqInEcd2yC8iQ5opBigtYxWOz6vsS/jAbwaj25FecG1o7qo07FTL1t5M+HL9HzaJ2PP3sBjTNByVgmOVktFIMlo2ayo6/4lPR52ssOU0f6QHrRw/fBx/zuhDYJ2oCdWaP8jPYzsTJYd7kh1/NGujxzV2qYbaJUy34CXU0arTLeGDe0zm9DXefJQVKbOfn0xNq4nW59RFVEm2+c90ps7Jm6kt2BYYjxL7RC0rboFQ2fUIEeLSccsvpcsS/gv9JrgUSkTWEobO+cr/fnP1ll2VSvTDingHQBHTXbT/2lvjcg3yS9BNjT0hpyZoqs3NeiZhu5rGm5urQW/O0a23kdEoKEaxti2RdiZCJhXRKwusgU3DP2W70N+DIxHLthCm+z9jL3iV+uK/sZGXJDhAn79TvzHFteO0yb9fEG/r2X/1mo9qcAs32sO1LD/cr0po5zL0LYmY3tHH0Vg62HXbolI/wC2pcOsCmVuZHN0cmVhbQplbmRvYmoKNCAwIG9iagogICA2NjQKZW5kb2JqCjIgMCBvYmoKPDwKICAgL0V4dEdTdGF0ZSA8PAogICAgICAvYTAgPDwgL0NBIDEgL2NhIDEgPj4KICAgPj4KICAgL0ZvbnQgPDwKICAgICAgL2YtMC0wIDUgMCBSCiAgID4+Cj4+CmVuZG9iago2IDAgb2JqCjw8IC9UeXBlIC9QYWdlCiAgIC9QYXJlbnQgMSAwIFIKICAgL01lZGlhQm94IFsgMCAwIDIwMCAxNTAgXQogICAvQ29udGVudHMgMyAwIFIKICAgL0dyb3VwIDw8CiAgICAgIC9UeXBlIC9Hcm91cAogICAgICAvUyAvVHJhbnNwYXJlbmN5CiAgICAgIC9JIHRydWUKICAgICAgL0NTIC9EZXZpY2VSR0IKICAgPj4KICAgL1Jlc291cmNlcyAyIDAgUgo+PgplbmRvYmoKNyAwIG9iago8PCAvTGVuZ3RoIDggMCBSCiAgIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlCiAgIC9MZW5ndGgxIDgxOTIKPj4Kc3RyZWFtCnic7Vl7eFNVtl/7PJKTNO/0kTRNc9I0jzYtbdqmtMDQQ0lboIC1FWiQaltaLCC2IlSKPIryLI8LMlYGEXFUZuQhoYCm4gMVRa/o4HDVEZlPHcVhvFP1OsCnSJO7zknB4qAff/h5/7nZ7L3XY5+11/7ttV8UCAAooRNo4KfPaWj7UPvwYoC4FgBq6vT2efz6f4zcDqA+CkDfPqPttjlnmQdPAuhz8SPrbbd3zOhe/2UYLexB/rmW5oamB77YsQrAUoWywhYUKNPk6civRj69Zc68BYV30d8ij+0h9/bW6Q0AwjrkTyNfMKdhQRvXHpcNkKJDnm+b29z23H13+JDH/ug/AQWlAMwJ9nn0Vg6jw1DjDQOXEwYGM6dDR05gFnmk6dNIYy3HmsZacRqexa8AJnufRUss1rm+fL1d78ZcymwIX/ob+/zF0WFmwvcHsBUBHDP1Lns/cODYz5EwyRdUDCNXMfJuFpQVCl37UdPRd/uLoaTk3Fu+XKN/JBmar3foj76y1bXhCH2hyxjcefEO+oJkqzR6mklhO4GHw4J3jGG1jSpWlRunGG8zMsM4lVoOKqVWo5lvMBoNGi1vMMrBmKRM8ivDJE1IVi/VaKyGYVqG8fPHrGq9vCi5FYr4tAq76MN/9Z3vOwolfX0l/YbinM/O9ekNxQRzMf5bNcS7WPcqDAh8uabRHYLHZCMKykWnggcds/FsitxDFCYsiI3xgMyCBWdWegh4vV7i9epG6EZ4vcuWQV2dMTEpMT+v0F/gcqTJ5G6jPcFOFw4tzM9jEuIpe1q6u9+wWLhpx9ZnOutW5GybQ53tf+Q3edlVM18lhu8jffsi/9KROVuHpx5f1P34GEFB009F5rqM9sgrb0b+89XjEk77sOiEUzi/LsFIMmklm5SUTJrAzLBN9unNJq934rkJ/RPLmgOfQ8mEPl/u0PwEx7533jl1Cj/HWZ0Q/ZBxsNvBAm54Uii+O5kkcU7Oba41r4RVZLVCXsEp7W67X6OJp4/J/RbW7Y9X0xnUstQifWuSkhqhTPclZVR4JGD7ixdVVi9YmGPSne8714cQI8gIsQiwLxeRLHC6UnhtIshYF69N9RBXQroHUoxIyYD2EIa26ewe4kx0e8BqwIIhCLJXRFVE1CuCumwZqYM6SExwuNwIKvUDnI400OuGGuyGAbgT4hPz6Yrne3SOUcsf7FGOvGXyrINEFfnvNyKnRy0m45etX7Jz3r5H1rPbv1s+KXdq5B+RSzdnez7/7JXISeIjM0ncs6Tp4l9fvPeOY1sfWt2LWLEYk6dkJzC+40Ar4ZUPXwvVMpVTRQ3V1KpuU3Wr/qB6TfW+6oKKa+HUGk25QatVabQGk0qdmWtJt3+TkK52Z6fHfZOfzmL0+nGmMtOpb3LTuS8M6anfmNLTzQUl1SbvRN25CX2X+i5gjk1czogJJX2X+nOOIqpSYOovh+rRWIhWQ94QZa4FsiDTQpLTTBbQ8QYLSXQhFZ+CVJ4MtR4GtTmKbAvxEizMDosF9DYskpwJFmK0YuGT51sgg8YCvAM/cplA5O9E4ONljjSXv6Awn84njsFgGwbpYJBcxhw/vnHT8eObNrVe+qg1r6Nj8qSOjkmiYCMqGC8yk1FIhY9vFAUbj1OnLo6hWzomTepYgE0p71sx+Vvf20WZmEGKfV/0AyaZ3Qo+OCrYxqpqspszpmfPz5ifLet2kUrOqzR5MVa/88X71XyYOIR4vV+3VK32WfzprNzvU5u63QF9mIwTtMqiIa2ULYNfRrup/Iq82C5xrg/D+HIcYxif6/9c16e7vFtIAV2Yk2t2gYJ1WZ1pLjGGgaG5XNwKUhw2DyQ7TRjUGMOgyMEi1W7xELPLEtsoJFxjYb1M3CtIHUP586/aL/ypJD9vaIyTy+SOgqGF9jwEGelUkhAPDpJ45jmVp/yZDXsOPWpwGlNcic2j5m5pPljmYnuEO0jCh19XZJXfuTTyzbdukvT62pI7tyz4bTshj9AUX7Rx9rwFpQt3tL3+Su/y6nyrbX/nW5FIDFcBz4xU9mFIg53CxEKmnJnCzrbekbowdTlZRXGZ3FTzbPMi86KUQ2YW0oiWSdGY7fIUM0OAtWm1aUal38jytvn2NJV9qbwosTVN49YusxWlpVc4BiH7GZSM6B9RIuKZY0iSMBUjGwuok8BNYcwqp94VZ9AggPG4E5gZtQ6x5RJie61OJ4UmYldoKCGFg4AqFIEyiEBpiQwFuO2OW/HSkWUF1d2LeytczDN06XziufBpR/mhNY1FTcm05lJGLzG0tVb6a2Yv3ryucsXh9hORC4/tWVjRPL7QN2XWLgmXSsQlB88kLdQIhWycmSqKG6YqVo9TT6ImM43UM3LlIvVB9atqmlIQtWYYaBmFilJzAK0arkixR6Ov0Enjx+GfEVcwHoSIAA6Y4IDrSIKMkoveOgzGwqF2P5NTdqZ2SrZ1yLHA2TUPXjrLdj48OnLwyOGt00+TraT7y72H8IjHPel9XAPbcE9Kgjx4U6iYTKYopmqDxibSrJitnWm826kYq7vH3O6Y67zLvci3KG+1eRW/yr16yGrfFrO6gsvjnBrKmRfn1+uzWH8qm+TPUlNF9jBZ+YymKKM1hyuyIH0oviinoCJ/0PT9sC76igcmT5o1f+aQFN6QSKsTs+M9oPJqPERp4PCYtGLB2CgPSRiS5AF1JhbyFNZDaJ4dtCIG7fGDt5ZBNLilHWZgIeCCkfb+dJQNpR5f2XnfvfO6Z6x+YteKZY89sC1yKPOGs+++/UXAVRXMvzVy9p3IR4sW0sKKaVUrV05tnts/fNXKtRs339v2GLXDW9W54/MPNq2sycnO8DfteD7y3ad/WdrrE8/IAmnetyGlhmlCmoJScmpCUS8YZDI5JSOsnKMxzJTU/Dj2K1olZ+gwSTpEutXcHryO1B5gtRUaCbjz50b0fybefnDW9THQBjZyBi8dWl8u0SuI3u4n+Xo8pPXUExE/ebt/HbVxy8mT5HtqTf/dEZbcEqI3XLr14cjvY+e3gHtgCrsFYzIF7hSSVrGknEvwa9kUv1xtKKJbTUVxqRXW2Lz1x6YsdhSDRe0izmSXwsm6EjUmD8SDwUMsHFI6GVJJqgQPMVJYmJUpHtAzWFx1HIgLD5IS9To5ZefdLn2BdPbqC3AyKH087mO0sKh+ypLI3yKRJTNL2om/a+eCvY9szhnzFLvlzP7I8cjpFyNffnyYDD+3j5RfPPMtqT5Hhkfejfz1wxVvAsR2IhrE27YKGGoi1qmgQ4kGlkKU1JAGsoAsIfdTr1GneRefyw/j99jTolHxHgw7SDWpR/3iAb0R9cVX9D/9I9iHuLq2ke2Ydgyk1zC9Tl6/qiX7b9/SmOPQghxk+D6ggMF7sOJne/v/3//Rjz0COnwTeXAvT2ZywAYQ/QDzKbGOTIp+zh4DXWRO9H/o4dhYvPv1UpGSEXAE1sNDeOOWwR+R9sAtsAXeILOgl0yDg/AeSYUh+C5kIAzj4TiJRt+BGfA4tp8HL8MDsB/j2ANzIAG1G4gzuhB5AelGWB79PaRDEayE56EYrW6AvuiT0QOorYZJsAt24/dvEge1nzFGn4p+hnF1I9pcjpp3ouOj+8CA975SqELpcniBOOlT0RYwwXD0bhs8Ao/CS/BPci85GG2JtkdPRD/B2DThblGDaTE5SD6h9zEro9uiX0QjiIQHMrHXetgMj6H9fZiOECBlZDaZRzaTByiBupc6yKxgkyL9iEMGVGAaA62wGhHoxRfgN/Ad+Yoy0Tp6Hv1q1B/9F66JShylOJJmaMe0CtMGHNNhIiO5ZDSpwlX6W/IAOUllUpOoWupuagH1OT2RnkZ30CeZu5gedh27RRYXOR89HD0WfRfPOSvcDHNhCY7uZTgB5+Aiwf2XpBAnGU5KyS2YOslDVC95lPRSVeQIOUHtIh+RT8lXuImylIpKoLzUPGoztZt6mXqbnkk/QP+O/og+z4xkKfZR9ozMKf8w0hhZE3k7Ojz6SfRbXNkc2HFmSmEi3AoNONo2PBOW4ij2YtqHs3YUXoU3pPQpSYE++BZRAGIgySSPTMA0kdxAZuCjYjt5FtMLki8XKJwISkHpqSQqhaqhGqk5VCf1LtVJW+hMehw9ld6H6XX6Pfp7+nuGZYxMAlPBjIV1zBxmK6adzB+ZHuZPbDE7kp3ITmY72TXsOno6+w77nmyJbIOsR/aV7Gu5Rz5e3ipfh7PzBsbsS1ctA4ako/d5cAdMJwHSCN04G4+SBujC6Goiq9HHNvBE6+gldAWVi9HwAtyD0boVFsMaeho8Gv0LvQvex0i5HW11wh+YUrCyD+Ls3Au5GEUDScjIzPC4Xc50R5qdt6VaUyzJZpN4aBsNep1aFadUcHIZy9AUgawyR3k9H3LVhxiXY8yYbJF3NKCgYZCgPsSjqPzqNiG+XmrGX91SwJYzftRSiLUUrrQkOn4EjMjO4sscfOitgAOfClNvrEV6fcAR5EN9Ej1BojdKtBppux0/4MtMLQE+ROr5slB5e0tXWX0AzfUKCIcyO0vcOASIEw2HYHTD4hYTVmKLslCyI1AWMjsCko52ljU0hapurC0LWOz2IMpQVF2LfWRnzRT9hLWqJkfT2rAAjfUi1TCtNkQ3BENUvWhL7w0lOQKhpIVnTD+wl6mydYOUIcpZ3tDcVY4QrB0TY+tFrmEdcpU1PJqlVgRrQ2TFgBOij7MCMXebHWWiqH4WH1I4Sh0tXbPqEVyoru1JFpLLHA2BYAiqanvMgllisrN6TUuG23H0vdmjskeJ9XC7aUms/vt9Mfmfj8RJ7Y5+jHVl9RUAiNiTYyz6GeKnS5040NkisWgugq7pRdgMf0GCw5yJ/owOURgztDPEOsc2hDprLrvREog5Vz8r0KMwJ4tjqC8NYvv6Lt0w7Abb6xx813nAKXT0/fNqScOARObUnQeRFCf6Sqyg/jLdLgEjdmdytIjz2142wDtMZYMEyIvQiD6H4kN5lVW19hAfREEYvFmVYVBU1e4nZEMwTKIrwhCw9uLtgb71FlRniaE2M4D9I5OdhYJMO1JDsvhyNFwuxgrfxXeNberiy/kWDCbGKdWoaO4K5iCCNbWIE9yEPQpByxWyORgchnZyRDuMZKcriBZmDViYJVlAA/3YKDerEofpqqq9sTbUGbCEhEAQZwHD90hVbegITlwwiK18VzzFevFM04DPeeizLxOJ/JiVGrSBJoJdXTHOYQ8d6eqydIlrLMaHCfxYIAwIwiAZQETDpLNKUnU67BYJc7vDjm4FRUwLMKQvR1QY/D+PcOFghIeit4USwkW/EMLF14PwsOtCePi1ER6BPg8XEf7Nr4fwyKsQLvl5hIXBCI9CbwUJ4dJfCOHR14Nw4LoQLrs2wuXoc5mIcMWvh/CYqxAe+/MIjxuMcCV6O05CePwvhPCE60F44nUhfMO1Ea5Cn28QEb7x10O4+iqEa34e4ZsGIzwJvb1JQnjyL4TwlOtBuPa6EA5eG+Gp6HNQRPjmKwgLlhAMRrjzR4DCLw75tEGQi7dQEruMbq69+NGt2hHnQc9J/K0T/kOqT953rOXb5kvuuE3cd8gqsH3sCyxlGZEMABVBfV/cpsuWrvxUrAFKmbvgKOZSqhj2YT1BbpVkPswC5kpRh7lA5Ae+E++zYezgYwCKx4f9eLwqn8beCgDkSMtRrghg/lj8G97A/1Dcj57Nxrc/BTpMddjqrNKKb0ES+5vbWMwlmP2Yvd5RJugkO2Ej5h2YaZhJ1kIH5jWYf4eZuUI9ibmXrO1hOOFZ0gHJZJwQx9huijfbTMo425/DRHZwu+0D06eHiRnU8Akx96hBMUpJdpBHoAls5AlwkoX4QvOQrQcybrfVo+pJaMPciZmWSkKe7EnNs71AssDJEPzGBakMedr2d1+27YwvTJEe28vuMIPVS6nICVrbEet224vW22wvYN4dU+3KCIvfPGm93bY5NUy29tjut4YJKjbFqvlW/PRp25yMbluTT9KP7w5Tu3tsxaifLMTZCovsNr/1M1uOO8wR5LOt422Zvrds6VapGY9GnYLelmLdbBuGqlRrmXsY5sNkF3kIMslDPc5xtmeRxOEeGJtR1B0m9xwY4/E5w2ShUDjG050xxu3MGG9zZpS73UhPfl2+XH6zfJQ8T+7FR5JLbpdb5PGcgdNxGk7FKTmOk4fJnp4Sm+ww2Q0lCMvuA5yMY8PkKRQyh8leSbj3GY7hKA64+HD044NiVMaHye6DOpFC4mmZRMnCZO+BmGivYGNEipEUOkosqVg4U4SjYBzePdeHZbAisb3EVGIYqS8uD/xUUX9V6f3pn4lYQ9247EK7rEG8eiIRtQavKH/mw9hv3nwsmku93srqjgPtbbNmSFdpR1kz5vrQ2nZ82nQ28vz+WW0D7wRXfeP0FrFuaA61OZoDoVmOAL+/fcY11DNEdbsjsB9mlN1Uu3+G0BzoaRfapVfEgcbSuXVX9bXmSl9zS69hrFQ0Nlfsq7HuGuo6Ud0o9lUn9lUn9tUoNEp9ieMsm1lTetc8jE7cPHGD9NSExt44tRZflcFAmOwUd9T58L+gUy3rCmVuZHN0cmVhbQplbmRvYmoKOCAwIG9iagogICA0OTE5CmVuZG9iago5IDAgb2JqCjw8IC9MZW5ndGggMTAgMCBSCiAgIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQp4nF2Ru27EIBBFe75iyk2xAuN9FZalaNO4yENx8gFeGLxIMSCMC/99eFgbKQVw5s5cNAz02r10RgegH96KHgMobaTH2S5eINxw1IZUHKQWYYvyLqbBERrN/ToHnDqjLGkaoJ8xOQe/wu5Z2hs+EQCg716i12aE3fe1L1K/OPeDE5oAjLQtSFTxutfBvQ0TAs3mfSdjXod1H21/FV+rQ+A5rkpLwkqc3SDQD2ZE0jDWQqNUS9DIf7lqs9yUuA+eNHUVSxmLR+Rj4WNkjpnjEfVT0U9JLzU81dR10evEvDBPfC58TnwpfEl8KHxIzAqz3OTWTWo3zfUxB7F4H0eQh5/fnl6tDT7+x1mXXHn9AlDihmkKZW5kc3RyZWFtCmVuZG9iagoxMCAwIG9iagogICAyNzMKZW5kb2JqCjExIDAgb2JqCjw8IC9UeXBlIC9Gb250RGVzY3JpcHRvcgogICAvRm9udE5hbWUgL0JCRlNPWCtIZWx2ZXRpY2EKICAgL0ZvbnRGYW1pbHkgKEhlbHZldGljYSkKICAgL0ZsYWdzIDMyCiAgIC9Gb250QkJveCBbIC05NTAgLTQ4MCAxNDQ1IDExMjEgXQogICAvSXRhbGljQW5nbGUgMAogICAvQXNjZW50IDc3MAogICAvRGVzY2VudCAtMjI5CiAgIC9DYXBIZWlnaHQgMTEyMQogICAvU3RlbVYgODAKICAgL1N0ZW1IIDgwCiAgIC9Gb250RmlsZTIgNyAwIFIKPj4KZW5kb2JqCjUgMCBvYmoKPDwgL1R5cGUgL0ZvbnQKICAgL1N1YnR5cGUgL1RydWVUeXBlCiAgIC9CYXNlRm9udCAvQkJGU09YK0hlbHZldGljYQogICAvRmlyc3RDaGFyIDMyCiAgIC9MYXN0Q2hhciA1NgogICAvRm9udERlc2NyaXB0b3IgMTEgMCBSCiAgIC9FbmNvZGluZyAvV2luQW5zaUVuY29kaW5nCiAgIC9XaWR0aHMgWyAwIDAgMCAwIDAgODg5IDAgMCAwIDAgMCAwIDAgMCAyNzcgMCA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiBdCiAgICAvVG9Vbmljb2RlIDkgMCBSCj4+CmVuZG9iagoxIDAgb2JqCjw8IC9UeXBlIC9QYWdlcwogICAvS2lkcyBbIDYgMCBSIF0KICAgL0NvdW50IDEKPj4KZW5kb2JqCjEyIDAgb2JqCjw8IC9DcmVhdG9yIChjYWlybyAxLjE0LjEwIChodHRwOi8vY2Fpcm9ncmFwaGljcy5vcmcpKQogICAvUHJvZHVjZXIgKGNhaXJvIDEuMTQuMTAgKGh0dHA6Ly9jYWlyb2dyYXBoaWNzLm9yZykpCj4+CmVuZG9iagoxMyAwIG9iago8PCAvVHlwZSAvQ2F0YWxvZwogICAvUGFnZXMgMSAwIFIKPj4KZW5kb2JqCnhyZWYKMCAxNAowMDAwMDAwMDAwIDY1NTM1IGYgCjAwMDAwMDcwNjEgMDAwMDAgbiAKMDAwMDAwMDc3OCAwMDAwMCBuIAowMDAwMDAwMDE1IDAwMDAwIG4gCjAwMDAwMDA3NTYgMDAwMDAgbiAKMDAwMDAwNjc3OCAwMDAwMCBuIAowMDAwMDAwODg3IDAwMDAwIG4gCjAwMDAwMDExMDEgMDAwMDAgbiAKMDAwMDAwNjExNCAwMDAwMCBuIAowMDAwMDA2MTM3IDAwMDAwIG4gCjAwMDAwMDY0ODggMDAwMDAgbiAKMDAwMDAwNjUxMSAwMDAwMCBuIAowMDAwMDA3MTI2IDAwMDAwIG4gCjAwMDAwMDcyNTYgMDAwMDAgbiAKdHJhaWxlcgo8PCAvU2l6ZSAxNAogICAvUm9vdCAxMyAwIFIKICAgL0luZm8gMTIgMCBSCj4+CnN0YXJ0eHJlZgo3MzA5CiUlRU9GCg=="}

Generate raster image - PNG/JPG/TIFF

Генерация растровых изображений на основе переданных данных чарта.

POST /raster-image

Input

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	Имя файла. Актуально, если response_type задан как 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).

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 OK
Content-Disposition:attachment; filename=anychart.png
Content-Type: image/png

Export as data file - CSV/XLSX (Excel)

Экспорт CSV данных в XLSX и CSV файлы.

POST /data-file

Input

Name	Type	Description
file_name	string	Имя файла. Актуально, если response_type задан как 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

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 OK
Content-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Content-Disposition: attachment; filename=anychart.xlsx

Get server status

External resources

Когда это нужно

Если нужно подключить внешние данные
Если нужно подключить карту
Если нужно подключить картинку для hatch fill

Security recommendations

allow access origin
https
авторизация

System recommendations

рассказываем про аналог супервизора
рассказываем про рекомендованную мощность
рассказываем про логирование

CJK and Custom fonts

Рассказываем как сетапить фонты

Troubleshooting

Рассказываем что делать в проблемных случаях

как проверить что image magic или кто у нас там второй установлен
как провер курлом или чем нибудь еще что /status доступен
как понять что нужно ставить доп шрифты

Tests

Рассказываем как у нас устроены тесты

как запустить
как добавить свой

anychart-export-server

AnyChart Export Server

Installation and running

Installation

Running

Options

Tutorials

Server API

Generate PDF report

Input

Example

Curl

Response

Generate vector image - PDF/SVG/PS

Input

Example

Curl

Response

Generate raster image - PNG/JPG/TIFF

Input

Example

Curl

Response

Export as data file - CSV/XLSX (Excel)

Input

Example

Curl

Response

Get server status

External resources

Security recommendations

System recommendations

CJK and Custom fonts

Troubleshooting

Tests

License

Readme

Keywords

Package Sidebar

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