Graphic is simple-to-use Nitrogen element which allows drawing graphs on web pages using simple data format.

• Live-updating graphs for realtime data
• Lazy loading for high-quality zooming

• Cowboy - Erlang web server with websocket support
• Nitrogen - Erlang web framework
• SimpleBridge - to glue upper two together
• HighCharts, HighStocks - JS chart library

First, you need a working Cowboy+Nitrogen bundle. Then include highstocks.js and provided priv/graphic.js into your web page. It is enough for drawing static data. For live updates and background data acquiring you need additional dispatch in Cowboy config. Typical dispatch option for Cowboy looks like

{[<<"graphic">>], graphic, []}

... which tells Cowboy to use graphic module to handle /graphic requests.

Minimal working example can be seen in src/graphic_demo.erl file, function start/0.

Simple declaration of graph points. Title option is optional and can be omitted, Graphs are described as tuples:

• {Name, Data} for graphic default (line) graphs
• {Name, Options, Data} for setting any HighCharts.series options (see HighCharts API documentation)

Data is simply list of tuples {Time, Value} for most types of graphs.

body() ->
  #panel{style="width:400px;",
    body = #graphic{data = static_data()}}.

static_data() ->
  [{option, title, <<"Static">>},
    {graph1, [
        {1354723700000, 17},
        {1354723710000, 19},
        {1354723720000, 20},
        {1354723730000, 22},
        {1354723740000, 18},
        {1354723750000, 17} ]},
    {graph2, [{type, scatter}], [
        {1354723703000, 20},
        {1354723713000, 22},
        {1354723723000, 19},
        {1354723733000, 19},
        {1354723743000, 21},
        {1354723753000, 20} ]}
  ].

When you need X axis to be something other than time you need to use chart backend. For any other value of backend option StockChart (X is UTC milliseconds) is used. Example:

body() ->
  #panel{style="width:400px;",
    body = #graphic{data = chart_backend()}}.

chart_backend() ->
  [{option, title, <<"Chart backend">>},
    {option, backend, chart},
    {graph1, [
        {0.7, 22},
        {1.0, 18},
        {1.1, 17} ]}
  ].

Options may be specified as {option, Name, Value} or {options, [{Name, Value}, {Name, Value}, ...]}. Each option should be specified once because we don't know what do multiple values for one option mean. Currently these options are supported:

• type -- default graph type. Graph without own type option will be of this type. See Highcharts docs.
• ordinal -- set to false if you want time (X axis) to be linear
• categories -- list of categories for bar charts
• yAxis -- Passed as-is to chart config (see Highcharts docs)
• title -- Title of chart. Use binary value, because list is encoded to JSON as array.
• navigator -- false | true | series-name -- tells whether to use navigator and which series will it follow. Auto-enabled when initial data has more than 500 points.
• legend -- false | true | Align -- displays legend (maybe with custom align option)
• range_selector -- Passed as rangeSelector chart option
• scrollbar -- Enables scrollbar
• lines -- list of horizontal lines to draw. List of tuples {Label, Options} where Options is either value or list [Value, Option, Option...] (Value is first). Options may be color, width, style and label position. See example.

Example:

body() ->
  #panel{style="width:400px;",
    body = #graphic{data = static_lines()}}.

static_lines() ->
  [{option, title, <<"Line demo">>},
    {option, lines, [
        {line1, 14},
        {line2, [19, red, right]},
        {line3, [25, left, long_dash_dot_dot, green, 3]} ]},
    {some_graph, [
        {1354723700000, 13},
        {1354723710000, 29},
        {1354723720000, 20} ]}
  ].

Line style is one of solid short_dash short_dot short_dash_dot short_dash_dot_dot dot dash long_dash dash_dot long_dash_dot long_dash_dot_dot. dot is default. Alignment is either left, right or center(default). Color may be any valid HTML color, default is black. Any number after first position in option list treated as line width (in pixels). Default is 1.

If your data needs long computations to get, it's better to load it asynchronouly. Graphic uses WebSockets for this. Just provide {mfa, Module, Function, Args} in data field of #graphic and define corresponding function. Let's see an example.

body() ->
  #panel{style="width:400px;",
    body = #graphic{data = {mfa, ?MODULE, async_static, []}}}.

async_static() ->
  {ok, static_data(), undefined, stop}.

Return value is 4-tuple {ok, Data, State, Options}. To terminate WebSocket connection just after sending data, Options is set to stop. State is not used in this example, so it may be anything, e.g. undefined.

Notice State and Options in return value of {mfa, ...} function. You can create gen_server-like callbacks to populate already drawn graphic. Currently there are two options accepted -- info_handler and range_handler. First one is for specifying message handler. It may be one of these:

• Function :: atom() -- for calling Function/2 in the same module
• {Module :: atom, Function :: atom -- for calling Module:Function/2 in any other module
• Any function of arity 2
• {Module, Function, Args} -- for stateless function called as Module:Function(Message, Arg1, ...) using erlang:apply/3

For first three options function is called with two arguments -- (Message, State) and expected return value is one of these:

• {reply, Obj, NewState} -- sends Obj to client and remembers state
• {reply, Obj} -- same as above but keeps old state
• noreply, {noreply, NewState} -- no data sent to client, new state is optionally set
• stop, {stop, Obj} -- terminate WebSocket after optional data is sent

Returned Obj is in minimal data format -- [{Name, [{Time, Value}]}]

body() ->
  #panel{style="width:400px;",
    body = #graphic{data = {mfa, ?MODULE, random_data, [1000]}}}.

random_data(Interval) ->
  Config = [
    {option, title, <<"Random">>},
    {option, navigator, true},
    {random, []} ],
  timer:send_interval(Interval, random),
  {ok, Config, undefined, [{info_handler, fun random_sender/1}]}.

random_sender(random) ->
  Point = {now_ms(), random:uniform()},
  {reply, [{random, [Point]}]}.

Geaphic supports dynamic detalization. When you zoom such graphic in, client makes request to server for data on selected interval. This allows you save bandwidth and keep client fast even on large data set. Unfortunately, dynamic detalization in incompatible with live updates.

For example, we have a function of time:

time_fun(UTC) ->
  Minutes = (UTC rem timer:hours(1)) / timer:minutes(1),
  Seconds = (UTC rem timer:minutes(1)) / timer:seconds(1),
  % Some high-freq function modulated by low-freq one
  10*(1 + math:sin(Minutes/5)) * math:sin(Seconds).

We show some points by default and specify range handler:

time_graphic() ->
  Range = erlang:round(timer:hours(1.1)),
  Count = 300,

  Now = now_ms(),
  Start = Now - Range,
  Step = Range div Count,
  
  Times = lists:seq(Start, Now, Step),

  Config = [
    {option, navigator, nice_fun},
    {option, title, <<"Zoomable">>},
    {nice_fun, [{T, time_fun(T)} || T <- Times]} ],
  {ok, Config, undefined, [{range_handler, {?MODULE, time_detail, [Count]}}]}.

When user sets new range on graphic, callback is called and graphic data is replaced by returned data:

time_detail(Request, Count) ->
  From = proplists:get_value(min, Request),
  To = proplists:get_value(max, Request),
  Step = erlang:max(1, (To - From) div Count),

  Points = [{T, time_fun(T)} || T <- lists:seq(From, To, Step)],
  {reply, [{nice_fun, Points}]}.

You can add marks to graphic by adding #graphic_mark{} to config or live update. #graphic_mark{} has required field id (passed to JSON, so should be atom, integer or binary), coordinates x and y, optional title. When updating mark it is enough to specify id and fields you want to change. title = null hides title.

marks_demo() ->
  Marks = [#graphic_mark{id = mark19, x = 5, y = 1.3, title = <<"Hello">>}],
  Config = [{option, title, <<"Marks demo">>},
    {option, backend, chart} | Marks ],
  timer:send_interval(2000, update_marks),
  {ok, Config, 0, [{info_handler, marks_demo}]}.