ruby-on-rails – Rails,JSON和加载时间

我有三个JSON数据url(@ dat,@ forecast,@ echo),它们使用Oj gem进行解析,因为有人建议它会加快这个过程.

我正在寻找一种方法来加速这个过程,如果可能的话.

JSON数据结构如下：

{"status"=>"ok","data"=>[{"2014-08-11 11:00:00"=>14.9},{"2014-08-11 11:30:00"=>15.1}]}

调节器

@temperature = Temperature.find(params[:id])
@temps = Temperature.find(:all,:conditions => ["id != ?",params[:id]])

@hash = Gmaps4rails.build_markers(@temperature) do |data,marker|
 marker.lat data.lat
 marker.lng data.long
end

@data =  Oj.load(open(@temperature.url).read)
@forecast =  Oj.load(open(@temperature.air_forecast).read)
@moisture =  Oj.load(open(@temperature.moisture).read)

data = []
moisture = []
forecast = []

@data['data'].flatten.each do |d|
 data << [DateTime.parse(d.keys.first).to_i * 1000,d.values.first]
end    

@moisture['data'].each do |d|
 moisture << [DateTime.parse(d.keys.first).to_i * 1000,d.values.first]
end 

@sevendays = LazyHighCharts::HighChart.new('graph') do |f|
 f.chart(:height => '400',width: '860',plotBackgroundImage: ActionController::Base.helpers.asset_path("chartbg.png"))
 f.yAxis [:title => {:text => "Soil Temperature (u00B0C)",:margin => 20,style: { color: '#333'}},min: 0,plotLines: [{ color: '#b20838',width: 2,value: 28 }],]
 f.series(:type => 'line',:name => 'Soil Temperature',data: data,marker: {enabled: false},:color => '#00463f' )
 f.xAxis(:type => 'datetime',tickInterval: 1.day.to_i * 1000,:dateTimeLabelFormats => { day: "%b %e"},:tickmarkPlacement => 'on',:startOnTick => true,min: 1.weeks.ago.at_midnight.to_i * 1000,labels: { y: 20 } )
 f.legend({:align => 'center',:verticalAlign => 'top',:y => 0,:borderWidth => 0,style: {color: "#333"}})
end

@day = LazyHighCharts::HighChart.new('graph') do |f|
 f.chart(:height => '400',value: 28 }]]
 f.series(:type => 'line',tickInterval: 5.hour.to_i * 1000,min: 1.day.ago.at_midnight.to_i * 1000,style: {color: "#333"}})
end

@month = LazyHighCharts::HighChart.new('graph') do |f|
 f.chart(:height => '400',tickInterval: 2.day.to_i * 1000,min: 1.month.ago.at_midnight.to_i * 1000,labels: { rotation: 90,y:20 })
 f.legend({:align => 'center',style: {color: "#333"}})
 f.plotOptions({line: {turboThreshold: 1500}})
end

@moisture_graph = LazyHighCharts::HighChart.new('graph') do |f|
 f.chart(:height => '400',plotBackgroundImage: ActionController::Base.helpers.asset_path("chartbg.png"))
 f.yAxis [:title => {:text => "Litres of Water Per Litre of Soil",style: { color: '#333'}}]
 f.series(:type => 'line',:name => 'Surface Moisture Volume',pointInterval: 1.day * 1000,data: moisture,style: {color: "#333"}})
end

respond_to do |format|
 format.html # show.html.erb
 format.json { render json: @temperature }
end
end

视图

<ul class="nav nav-pills">
 <li class="active"><a href="#seven" data-toggle="tab">Last 7 Days</a></li>
 <li><a href="#forecast" data-toggle="tab">7 Day Forecast Temperature</a></li>
 <li><a href="#day" data-toggle="tab">Last 24 Hours</a></li>
 <li><a href="#month" data-toggle="tab">Last 30 Days</a></li>
 <li><a href="#moisture" data-toggle="tab">Surface Moisture Volume</a></li>
 <li><a href="#location" data-toggle="tab">Location of <%= @soil_temperature.property %></a></li>
</ul>

<div class="tab-content">

    <div class="tab-pane active" id="seven" style="width: 100%;">
        <%= high_chart("chart",@sevendays) %>
    </div>

    <div class="tab-pane" id="forecast" style="width: 100%;">
        <table class="table table-bordered table_forecast" width="100%">
            <th></th>
            <% Time.use_zone('Sydney'){(0.day.from_now.to_date..6.day.from_now.to_date)}.each do |d| %>
            <th><%= d.strftime("%a %d,%b") %></th>
            <% end %>
            <tr>
            <td width="12.5%"><b>Maximum</b></td>
            <% Time.use_zone('Sydney'){(0.day.from_now.to_date..6.day.from_now.to_date)}.each do |d| %>
            <% if @forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.max { |a,b| a[1] <=> b[1] }[1] > 20 %>
            <td width="12.5%" bgcolor="#ed1c24"><font color="#ffffff">
            <% elsif @forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.max { |a,b| a[1] <=> b[1] }[1] > 14 %>
            <td width="12.5%" bgcolor="#f58233"><font color="#fff">
            <% elsif @forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.min { |a,b| a[1] <=> b[1] }[1] < 14 %>
            <td width="12.5%" bgcolor="#00a1e4"><font color="#fff">
            <% else %>
            <td width="12.5%"><font color="#333333">
            <% end %>
            <%= @forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.max { |a,b| a[1] <=> b[1] }[1] %>°C</font></td>
            <% end %>
            </tr>
            <tr>
            <td width="12.5%"><b>Minimum</b></td>
            <% Time.use_zone('Sydney'){(0.day.from_now.to_date..6.day.from_now.to_date)}.each do |d| %>
            <% if @forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.min { |a,b| a[1] <=> b[1] }[1] > 20 %>
            <td width="12.5%" bgcolor="#ed1c24"><font color="#ffffff">
            <% elsif @forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.min { |a,b| a[1] <=> b[1] }[1] < 14 %>
            <td width="12.5%" bgcolor="#00a1e4"><font color="#fff">
            <% else %>
            <td width="12.5%"><font color="#333333">
            <% end %>
            <%= @forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.min { |a,b| a[1] <=> b[1] }[1] %>°C</td>
            <% end %>
            </tr>
            <tr>
            <td width="12.5%"><b>Average</b></td>
            <% Time.use_zone('Sydney'){(0.day.from_now.to_date..6.day.from_now.to_date)}.each do |d| %>
            <% if (@forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.sum { |sum| sum[1] } / @forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.count) > 20 %>
            <td width="12.5%" bgcolor="#ed1c24"><font color="#ffffff">
            <% elsif (@forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.sum { |sum| sum[1] } / @forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.count) > 14 %>
            <td width="12.5%" bgcolor="#f58233"><font color="#fff">
            <% elsif (@forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.sum { |sum| sum[1] } / @forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.count) < 14 %>
            <td width="12.5%" bgcolor="#00a1e4"><font color="#fff">
            <% else %>
            <td width="12.5%"><font color="#333333">
            <% end %>
            <%= "%.1f" % (@forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.sum { |sum| sum[1] } / @forecast['data']['temperatures'].select { |temp| temp[0].to_date == d }.count) %>°C</td>
            <% end %>
            </tr>

        </table>
    </div>

    <div class="tab-pane" id="day" style="width: 100%;">
        <%= high_chart("chart2",@day) %>
    </div>

    <div class="tab-pane" id="month" style="width: 100%;">
        <%= high_chart("chart3",@month) %>
    </div>

    <div class="tab-pane" id="moisture" style="width: 100%;">
        <%= high_chart("chart4",@moisture_graph) %>
    </div>

    <div class="tab-pane" id="location" style="width: 100%;">
        <div id="map" style='width: 100%; height: 600px;'></div>
    </div>
    <hr>

</div>

<script type="text/javascript">

    $('a[href="#location"]').on('shown',function(e) {
    var mapOptions = { mapTypeId: google.maps.MapTypeId.HYBRID,Zoom: 9 };
    handler = Gmaps.build('Google');
    handler.buildMap({ provider: mapOptions,internal: {id: 'map'}},function(){
    markers = handler.addMarkers(<%= raw @hash.to_json %>);
    handler.map.centerOn(markers[0]); 
    handler.getMap().setZoom(9);
    google.maps.event.trigger(map,"resize");
    });
  });

</script>