Commit 8cf70208 authored by Ivan Tyagov's avatar Ivan Tyagov

erp5_wendelin_data_sample

See merge request !74
parents f8e823ce 1f7420d8
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</record>
<record id="6" aka="AAAAAAAAAAY=">
<pickle>
<global name="OOBTree" module="BTrees.OOBTree"/>
</pickle>
<pickle>
<none/>
</pickle>
</record>
<record id="7" aka="AAAAAAAAAAc=">
<pickle>
<global name="PersistentMapping" module="Persistence.mapping"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>data</string> </key>
<value>
<dictionary>
<item>
<key> <string>edit_workflow</string> </key>
<value>
<persistent> <string encoding="base64">AAAAAAAAAAg=</string> </persistent>
</value>
</item>
<item>
<key> <string>validation_workflow</string> </key>
<value>
<persistent> <string encoding="base64">AAAAAAAAAAk=</string> </persistent>
</value>
</item>
</dictionary>
</value>
</item>
</dictionary>
</pickle>
</record>
<record id="8" aka="AAAAAAAAAAg=">
<pickle>
<global name="WorkflowHistoryList" module="Products.ERP5Type.Workflow"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>_log</string> </key>
<value>
<list>
<dictionary>
<item>
<key> <string>action</string> </key>
<value> <string>edit</string> </value>
</item>
<item>
<key> <string>actor</string> </key>
<value> <string>zope</string> </value>
</item>
<item>
<key> <string>comment</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>error_message</string> </key>
<value> <string></string> </value>
</item>
<item>
<key> <string>serial</string> </key>
<value> <string>989.23172.36468.15086</string> </value>
</item>
<item>
<key> <string>state</string> </key>
<value> <string>current</string> </value>
</item>
<item>
<key> <string>time</string> </key>
<value>
<object>
<klass>
<global name="DateTime" module="DateTime.DateTime"/>
</klass>
<tuple>
<none/>
</tuple>
<state>
<tuple>
<float>1610720066.91</float>
<string>UTC</string>
</tuple>
</state>
</object>
</value>
</item>
</dictionary>
</list>
</value>
</item>
</dictionary>
</pickle>
</record>
<record id="9" aka="AAAAAAAAAAk=">
<pickle>
<global name="WorkflowHistoryList" module="Products.ERP5Type.Workflow"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>_log</string> </key>
<value>
<list>
<dictionary>
<item>
<key> <string>action</string> </key>
<value> <string>validate</string> </value>
</item>
<item>
<key> <string>actor</string> </key>
<value> <string>zope</string> </value>
</item>
<item>
<key> <string>comment</string> </key>
<value> <string></string> </value>
</item>
<item>
<key> <string>error_message</string> </key>
<value> <string></string> </value>
</item>
<item>
<key> <string>time</string> </key>
<value>
<object>
<klass>
<global name="DateTime" module="DateTime.DateTime"/>
</klass>
<tuple>
<none/>
</tuple>
<state>
<tuple>
<float>1605011640.12</float>
<string>UTC</string>
</tuple>
</state>
</object>
</value>
</item>
<item>
<key> <string>validation_state</string> </key>
<value> <string>validated</string> </value>
</item>
</dictionary>
</list>
</value>
</item>
</dictionary>
</pickle>
</record>
</ZopeData>
<?xml version="1.0"?>
<ZopeData>
<record id="1" aka="AAAAAAAAAAE=">
<pickle>
<global name="Data Transformation" module="erp5.portal_type"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>_Access_contents_information_Permission</string> </key>
<value>
<tuple>
<string>Assignee</string>
<string>Assignor</string>
<string>Associate</string>
<string>Auditor</string>
<string>Manager</string>
</tuple>
</value>
</item>
<item>
<key> <string>_Add_portal_content_Permission</string> </key>
<value>
<tuple>
<string>Assignee</string>
<string>Assignor</string>
<string>Associate</string>
<string>Manager</string>
</tuple>
</value>
</item>
<item>
<key> <string>_Modify_portal_content_Permission</string> </key>
<value>
<tuple>
<string>Assignee</string>
<string>Assignor</string>
<string>Associate</string>
<string>Manager</string>
</tuple>
</value>
</item>
<item>
<key> <string>_View_Permission</string> </key>
<value>
<tuple>
<string>Assignee</string>
<string>Assignor</string>
<string>Associate</string>
<string>Auditor</string>
<string>Manager</string>
</tuple>
</value>
</item>
<item>
<key> <string>_count</string> </key>
<value>
<persistent> <string encoding="base64">AAAAAAAAAAI=</string> </persistent>
</value>
</item>
<item>
<key> <string>_identity_criterion</string> </key>
<value>
<persistent> <string encoding="base64">AAAAAAAAAAM=</string> </persistent>
</value>
</item>
<item>
<key> <string>_mt_index</string> </key>
<value>
<persistent> <string encoding="base64">AAAAAAAAAAQ=</string> </persistent>
</value>
</item>
<item>
<key> <string>_range_criterion</string> </key>
<value>
<persistent> <string encoding="base64">AAAAAAAAAAU=</string> </persistent>
</value>
</item>
<item>
<key> <string>_tree</string> </key>
<value>
<persistent> <string encoding="base64">AAAAAAAAAAY=</string> </persistent>
</value>
</item>
<item>
<key> <string>categories</string> </key>
<value>
<tuple>
<string>resource/data_product_module/wendelin_environment_raw_array</string>
</tuple>
</value>
</item>
<item>
<key> <string>comment</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>default_reference</string> </key>
<value> <string>generic-interval-resample</string> </value>
</item>
<item>
<key> <string>description</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>id</string> </key>
<value> <string>wendelin_resample_generic_interval_array</string> </value>
</item>
<item>
<key> <string>portal_type</string> </key>
<value> <string>Data Transformation</string> </value>
</item>
<item>
<key> <string>title</string> </key>
<value> <string>Resample Generic Interval Array</string> </value>
</item>
<item>
<key> <string>version</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>workflow_history</string> </key>
<value>
<persistent> <string encoding="base64">AAAAAAAAAAc=</string> </persistent>
</value>
</item>
</dictionary>
</pickle>
</record>
<record id="2" aka="AAAAAAAAAAI=">
<pickle>
<global name="Length" module="BTrees.Length"/>
</pickle>
<pickle> <int>0</int> </pickle>
</record>
<record id="3" aka="AAAAAAAAAAM=">
<pickle>
<global name="PersistentMapping" module="Persistence.mapping"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>data</string> </key>
<value>
<dictionary/>
</value>
</item>
</dictionary>
</pickle>
</record>
<record id="4" aka="AAAAAAAAAAQ=">
<pickle>
<global name="OOBTree" module="BTrees.OOBTree"/>
</pickle>
<pickle>
<none/>
</pickle>
</record>
<record id="5" aka="AAAAAAAAAAU=">
<pickle>
<global name="PersistentMapping" module="Persistence.mapping"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>data</string> </key>
<value>
<dictionary/>
</value>
</item>
</dictionary>
</pickle>
</record>
<record id="6" aka="AAAAAAAAAAY=">
<pickle>
<global name="OOBTree" module="BTrees.OOBTree"/>
</pickle>
<pickle>
<none/>
</pickle>
</record>
<record id="7" aka="AAAAAAAAAAc=">
<pickle>
<global name="PersistentMapping" module="Persistence.mapping"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>data</string> </key>
<value>
<dictionary>
<item>
<key> <string>edit_workflow</string> </key>
<value>
<persistent> <string encoding="base64">AAAAAAAAAAg=</string> </persistent>
</value>
</item>
<item>
<key> <string>validation_workflow</string> </key>
<value>
<persistent> <string encoding="base64">AAAAAAAAAAk=</string> </persistent>
</value>
</item>
</dictionary>
</value>
</item>
</dictionary>
</pickle>
</record>
<record id="8" aka="AAAAAAAAAAg=">
<pickle>
<global name="WorkflowHistoryList" module="Products.ERP5Type.Workflow"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>_log</string> </key>
<value>
<list>
<dictionary>
<item>
<key> <string>action</string> </key>
<value> <string>edit</string> </value>
</item>
<item>
<key> <string>actor</string> </key>
<value> <string>zope</string> </value>
</item>
<item>
<key> <string>comment</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>error_message</string> </key>
<value> <string></string> </value>
</item>
<item>
<key> <string>serial</string> </key>
<value> <string>989.23171.25462.57890</string> </value>
</item>
<item>
<key> <string>state</string> </key>
<value> <string>current</string> </value>
</item>
<item>
<key> <string>time</string> </key>
<value>
<object>
<klass>
<global name="DateTime" module="DateTime.DateTime"/>
</klass>
<tuple>
<none/>
</tuple>
<state>
<tuple>
<float>1610720080.88</float>
<string>UTC</string>
</tuple>
</state>
</object>
</value>
</item>
</dictionary>
</list>
</value>
</item>
</dictionary>
</pickle>
</record>
<record id="9" aka="AAAAAAAAAAk=">
<pickle>
<global name="WorkflowHistoryList" module="Products.ERP5Type.Workflow"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>_log</string> </key>
<value>
<list>
<dictionary>
<item>
<key> <string>action</string> </key>
<value> <string>validate</string> </value>
</item>
<item>
<key> <string>actor</string> </key>
<value> <string>zope</string> </value>
</item>
<item>
<key> <string>comment</string> </key>
<value> <string></string> </value>
</item>
<item>
<key> <string>error_message</string> </key>
<value> <string></string> </value>
</item>
<item>
<key> <string>time</string> </key>
<value>
<object>
<klass>
<global name="DateTime" module="DateTime.DateTime"/>
</klass>
<tuple>
<none/>
</tuple>
<state>
<tuple>
<float>1605278090.73</float>
<string>UTC</string>
</tuple>
</state>
</object>
</value>
</item>
<item>
<key> <string>validation_state</string> </key>
<value> <string>validated</string> </value>
</item>
</dictionary>
</list>
</value>
</item>
</dictionary>
</pickle>
</record>
</ZopeData>
<?xml version="1.0"?>
<ZopeData>
<record id="1" aka="AAAAAAAAAAE=">
<pickle>
<global name="Notebook" module="erp5.portal_type"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>_Access_contents_information_Permission</string> </key>
<value>
<tuple>
<string>Anonymous</string>
<string>Assignee</string>
<string>Assignor</string>
<string>Associate</string>
<string>Auditor</string>
<string>Manager</string>
</tuple>
</value>
</item>
<item>
<key> <string>_Add_portal_content_Permission</string> </key>
<value>
<tuple>
<string>Assignee</string>
<string>Assignor</string>
<string>Manager</string>
</tuple>
</value>
</item>
<item>
<key> <string>_Change_local_roles_Permission</string> </key>
<value>
<tuple>
<string>Assignor</string>
<string>Manager</string>
</tuple>
</value>
</item>
<item>
<key> <string>_Modify_portal_content_Permission</string> </key>
<value>
<tuple>
<string>Assignee</string>
<string>Assignor</string>
<string>Manager</string>
</tuple>
</value>
</item>
<item>
<key> <string>_View_Permission</string> </key>
<value>
<tuple>
<string>Anonymous</string>
<string>Assignee</string>
<string>Assignor</string>
<string>Associate</string>
<string>Auditor</string>
<string>Manager</string>
</tuple>
</value>
</item>
<item>
<key> <string>content_md5</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>default_reference</string> </key>
<value> <string>environment_data_sample_chart_editor</string> </value>
</item>
<item>
<key> <string>description</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>id</string> </key>
<value> <string>wendelin_environment_data_sample_chart_editor</string> </value>
</item>
<item>
<key> <string>language</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>portal_type</string> </key>
<value> <string>Notebook</string> </value>
</item>
<item>
<key> <string>short_title</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>text_content</string> </key>
<value> <string encoding="cdata"><![CDATA[
%% md\n
<div class="plot_button_div" id="plot_button_div"></div>\n
<div class="plot_div" id="plot_div"></div>\n
\n
%% fetch\n
css: static/css/main.88fa11bf.css\n
js: jio.js\n
js: ndarray_bundle.js\n
js: wendelin.js\n
js: https://cdn.plot.ly/plotly-latest.min.js\n
js: react.development.js\n
js: react-dom.development.js\n
js: static/js/main.8b730bc1.js\n
\n
%% js\n
CHART_ID = "my_data_chart";\n
hateoas_url = "https://softinstxxxxx.host.vifib.net/erp5/web_site_module/renderjs_runner/hateoas/";\n
jio = jIO.createJIO({\n
  type: "erp5",\n
  url: hateoas_url,\n
  default_view_reference: "view"\n
});\n
\n
editor_jio = jIO.createJIO({\n
  type: "indexeddb",\n
  database: "graph_editor"\n
});\n
\n
gadget = {\n
  getSetting: function(property) {\n
    return new RSVP.Queue()\n
      .push(function () {\n
        if (property == "hateoas_url") {\n
          return hateoas_url;\n
        }\n
        return;\n
      });\n
  },\n
  jio_getAttachment: function(id, url, parameter_dict) {\n
    return jio.getAttachment(id, url, parameter_dict);\n
  },\n
  jio_get: function(id) {return jio.get(id);}\n
}\n
\n
var graph = document.getElementById(\'plot_div\'),\n
update = false,\n
button_element = document.getElementById(\'plot_button_div\'),\n
displayed_data = [],\n
displayed_layout = {},\n
label_list = ["date", "humidity_min","humidity_mean","humidity_max", "pressure_min","pressure_mean","pressure_max", "temperature_min","temperature_mean", "temperature_max"],\n
array_start_date,\n
array_last_date,\n
orig_start_date = new Date(),\n
orig_stop_date = new Date(),\n
frequency,\n
array_id = "";\n
orig_start_date.setMonth(orig_start_date.getMonth() - 1);\n
\n
\n
selectorOptions = {\n
    "buttons": [{\n
        "step": \'day\',\n
        "stepmode": \'backward\',\n
        "count": 1,\n
        "label": \'day\'\n
    }, {\n
        "step": \'month\',\n
        "stepmode": \'backward\',\n
        "count": 1,\n
        "label": \'month\'\n
    }, {\n
        "step": \'year\',\n
        "stepmode": \'backward\',\n
        "count": 1,\n
        "label": \'year\'\n
    }],\n
}\n
\n
function getFrequency(start_date, stop_date) {\n
var ratio = screen.availWidth / 1024,\n
interval = stop_date - start_date;\n
if (stop_date === undefined) {\n
return 30000;\n
}\n
if (interval >= 1000 * 60 * 60 * 24 * 100 * ratio) {\n
return 30000;\n
} else if (interval >= 1000 * 60 * 60 * 24 * 28 * ratio) {\n
return 3000;\n
} else if (interval >= 1000 * 60 * 60 * 24 * 7 * ratio) {\n
return 300;\n
} else {\n
return 60;\n
}\n
}\n
\n
function getArrayId(frequency) {\n
return jio.allDocs({\n
query: \'portal_type:"Data Analysis Line" AND \' +\n
\'title: "Resampled Array (\' + frequency + \' Seconds)" AND \' +\n
\'resource_reference:"GENERIC-INTERVAL-RESAMPLED-ARRAY" AND \' +\n
\'parent_source_title:"Sample Factory" AND \' +\n
\'simulation_state:"started"\'\n
})\n
.push(function (result) {\n
var data_analysis_line_id = result.data.rows[0].id;\n
return jio.allDocs({\n
query: \'portal_type:"Data Array" AND \' +\n
\'aggregate_related_relative_url:"\' + data_analysis_line_id +\'"\'\n
});\n
})\n
.push(function (result) {\n
return result.data.rows[0].id;\n
});\n
}\n
\n
function getData(start_date, stop_date){\n
var start_index,\n
stop_index;\n
  function unpack(rows, key) {\n
    return rows.map(function(row) { return row[key]; });\n
  }\n
  return new RSVP.Queue()\n
    .push(function() {\n
      return getFrequency();\n
    })\n
    .push(function(result) {\n
frequency = result;\n
      return getArrayId(frequency);\n
    })\n
    .push(function(result) {\n
array_id = result;\n
      return wendelin.getArrayRawSlice(gadget, array_id, 0, 1);\n
    })\n
    .push(function(result) {\n
array_start_date = wendelin.convertFirstColToDate([[result.data[0]]])[0][0];\n
      return wendelin.getArrayLastRow(gadget, array_id);\n
    })\n
    .push(function(result) {\n
var array_last_date = wendelin.convertFirstColToDate([[result.data[0]]])[0][0];\n
stop_date = array_last_date;\n
start_date = new Date(array_last_date.getTime());\n
start_date.setMonth(start_date.getMonth() - 1);\n
start_index = Math.max(0, Math.ceil((start_date - array_start_date) / (frequency*1000)));\n
stop_index = Math.ceil((stop_date - array_start_date) / (frequency*1000));\n
return wendelin.getArrayRawSlice(gadget, array_id, start_index, stop_index)\n
.push(function(result) {\n
graph_data=[];\n
for (i = 0; i < label_list.length; i += 1) {\n
graph_data = graph_data.concat(nj.unpack(result.pick( null, label_list[i])));\n
}\n
return graph_data\n
})\n
.push(function(result){\n
return wendelin.convertFirstColToDate(result)\n
})\n
.push(function (graph_data) {\n
var humidity_trace = {\n
x: unpack(graph_data, label_list.indexOf("date")),\n
y: unpack(graph_data, label_list.indexOf("humidity_mean")),\n
},\n
pressure_trace = {\n
x: unpack(graph_data, label_list.indexOf("date")),\n
y: unpack(graph_data, label_list.indexOf("pressure_mean"))\n
},\n
temperature_trace = {\n
x: unpack(graph_data, label_list.indexOf("date")),\n
y: unpack(graph_data, label_list.indexOf("temperature_mean"))\n
},\n
data = [humidity_trace,pressure_trace,temperature_trace];\n
return data\n
});\n
});\n
}\n
\n
function update_graph(start_date, stop_date) {\n
displayed_layout.xaxis.range = [start_date, stop_date];\n
return getData(start_date, stop_date)\n
.push(function (data) {\n
for (var i = 0; i < data.length; i+=1) {\n
displayed_data[i] = {...displayed_data[i], ...data[i]};\n
}\n
return Plotly.react(graph,\n
displayed_data,\n
displayed_layout\n
);\n
});\n
}\n
\n
function renderEditor() {\n
var props = {\n
ref: function ref(element) {\n
window.editor = element;\n
},\n
data: displayed_data,\n
layout: displayed_layout,\n
frames: [],\n
url: ""\n
};\n
ReactDOM.render(React.createElement(EntryPoint.default.App, props, null), graph);\n
}\n
\n
function editGraph(edit_btn, apply_btn) {\n
return new RSVP.Queue()\n
.push(function () {\n
return Plotly.purge(graph);\n
})\n
.push(function () {\n
return renderEditor();\n
})\n
.push(function () {\n
button_element.replaceChild(apply_btn, edit_btn);\n
});\n
}\n
\n
function createGraph() {\n
var start_date,\n
stop_date;\n
\n
Plotly.newPlot(\n
"plot_div",\n
displayed_data,\n
displayed_layout\n
);\n
graph.on(\'plotly_relayout\', function(eventdata) {\n
start_date = eventdata["xaxis.range[0]"]\n
stop_date = eventdata["xaxis.range[1]"]\n
\n
if(start_date == undefined){\n
start_date = orig_start_date\n
}\n
if(stop_date == undefined){\n
stop_date = orig_stop_date\n
}\n
\n
start_date = new Date(start_date);\n
stop_date = new Date(stop_date);\n
\n
return update_graph(start_date, stop_date);\n
});\n
}\n
\n
function applyChangesToGraph(edit_btn, apply_btn) {\n
var stored_data = [], temp;\n
return new RSVP.Queue()\n
.push(function () {\n
return window.editor.getContent();\n
})\n
.push(function(result) {\n
displayed_data = result.data;\n
displayed_layout = result.layout;\n
for (var i = 0; i < displayed_data.length; i+=1) {\n
stored_data[i] = {};\n
for (var key in displayed_data[i]) {\n
if (key == "x") {\n
stored_data[i][key] = []\n
} else if (key == "y") {\n
stored_data[i][key] = [];\n
} else {\n
stored_data[i][key] = displayed_data[i][key];\n
}\n
}\n
}\n
editor_jio.put(\n
CHART_ID,\n
{graph_model: {\n
layout: result.layout,\n
data: stored_data\n
}\n
}\n
);\n
return ReactDOM.unmountComponentAtNode(graph);\n
})\n
.push(function () {\n
return createGraph();\n
})\n
.push(function(result) {\n
button_element.replaceChild(edit_btn, apply_btn);\n
});\n
}\n
\n
function createButtons() {\n
var plotly_apply_btn = document.createElement("BUTTON"),\n
plotly_edit_btn = document.createElement("BUTTON");\n
plotly_edit_btn.innerHTML = "Edit Chart";\n
plotly_edit_btn.type = "button";\n
plotly_apply_btn.innerHTML = "Apply";\n
plotly_apply_btn.type = "button";\n
plotly_edit_btn.addEventListener("click", editGraph.bind(null, plotly_edit_btn, plotly_apply_btn));\n
plotly_apply_btn.addEventListener("click", applyChangesToGraph.bind(null, plotly_edit_btn, plotly_apply_btn));\n
button_element.appendChild(plotly_edit_btn);\n
}\n
\n
function getDisplayedLayout() {\n
return {\n
\'title\' :\'Environmental Sensor Data\',\n
\'xaxis\': {\n
\'autorange\': true,\n
\'rangeselector\': selectorOptions,\n
},\n
\'yaxis\': {\n
\'autorange\': true\n
}\n
};\n
}\n
\n
function getDisplayedDataTemplate() {\n
var humidity_trace = {\n
type: "scattergl",\n
mode: "markers",\n
name: \'Humidity(%)\',\n
x: [],\n
y: [],\n
line: {color: \'#17BECF\'}\n
}, pressure_trace = {\n
type: "scattergl",\n
mode: "markers",\n
name: \'Pressure(Pa)\',\n
x: [],\n
y: [],\n
line: {color: \'#7F7F7F\'}\n
}, temperature_trace = {\n
type: "scattergl",\n
mode: "markers",\n
name: \'Temperature(C°)\',\n
x: [],\n
y: [],\n
line: {color: \'#FF0000\'}\n
};\n
return [humidity_trace,pressure_trace,temperature_trace];\n
}\n
\n
function plot() {\n
var start_date = orig_start_date,\n
stop_date = orig_stop_date;\n
return editor_jio.get(CHART_ID)\n
.push(function(result) {\n
displayed_layout = result.graph_model.layout;\n
displayed_data = result.graph_model.data;\n
if (displayed_data == undefined) {\n
displayed_data = getDisplayedDataTemplate();\n
}\n
if (displayed_layout == undefined) {\n
displayed_layout = getDisplayedLayout();\n
}\n
return getData(start_date, stop_date);\n
}, function(error) {\n
displayed_layout = getDisplayedLayout();\n
displayed_data = getDisplayedDataTemplate();\n
return getData(start_date, stop_date);\n
})\n
.push(function (data) {\n
for (var i = 0; i < data.length; i+=1) {\n
displayed_data[i].x = data[i].x;\n
displayed_data[i].y = data[i].y;\n
}\n
Plotly.newPlot(\n
"plot_div",\n
displayed_data,\n
displayed_layout\n
);\n
graph.on(\'plotly_relayout\', function(eventdata) {\n
start_date = eventdata["xaxis.range[0]"]\n
stop_date = eventdata["xaxis.range[1]"]\n
\n
if(start_date == undefined){\n
start_date = orig_start_date\n
}\n
if(stop_date == undefined){\n
stop_date = orig_stop_date\n
}\n
\n
start_date = new Date(start_date);\n
stop_date = new Date(stop_date);\n
\n
return update_graph(start_date, stop_date);\n
});\n
});\n
}\n
\n
function main() {\n
  return new RSVP.Queue()\n
    .push(function() {\n
      return plot();\n
    })\n
    .push(function() {\n
      return createButtons();\n
    });\n
}\n
\n
main();
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<persistent> <string encoding="base64">AAAAAAAAAAI=</string> </persistent>
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<key> <string>edit_workflow</string> </key>
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<value> <string encoding="cdata"><![CDATA[
%% md\n
# Time Series\n
<div class="plot_div" id="plot_div"/>\n
\n
\n
%% fetch\n
js: jio.js\n
js: ndarray_bundle.js\n
js: wendelin.js\n
js: https://cdn.plot.ly/plotly-latest.min.js\n
\n
\n
%% js\n
hateoas_url = "https://softinstxxxxx.host.vifib.net/erp5/web_site_module/renderjs_runner/hateoas/";\n
jio = jIO.createJIO({\n
type: "erp5",\n
url: hateoas_url,\n
default_view_reference: "view"\n
});\n
\n
gadget = {\n
getSetting: function(property) {\n
return new RSVP.Queue()\n
.push(function () {\n
if (property == "hateoas_url") {\n
return hateoas_url;\n
}\n
return;\n
});\n
},\n
jio_getAttachment: function(id, url, parameter_dict) {\n
return jio.getAttachment(id, url, parameter_dict);\n
},\n
jio_get: function(id) {return jio.get(id);}\n
}\n
\n
var graph = document.getElementById(\'plot_div\'),\n
graph_data = [],\n
label_list = ["date", "humidity_min","humidity_mean","humidity_max", "pressure_min","pressure_mean","pressure_max", "temperature_min","temperature_mean", "temperature_max"];\n
\n
selectorOptions = {\n
"buttons": [{\n
"step": \'day\',\n
"stepmode": \'backward\',\n
"count": 1,\n
"label": \'day\'\n
},/* {\n
"step": \'day\',\n
"stepmode": \'backward\',\n
"count": 7,\n
"label": \'week\'\n
},*/ {\n
"step": \'month\',\n
"stepmode": \'backward\',\n
"count": 1,\n
"label": \'month\'\n
}, {\n
"step": \'year\',\n
"stepmode": \'backward\',\n
"count": 1,\n
"label": \'year\'\n
}],\n
}\n
\n
\n
function update_graph(start_date, stop_date){\n
return getData(start_date, stop_date)\n
.push(function (data) {\n
return Plotly.react(graph,\n
data,\n
{ \'title\' :\'Environmental Sensor Data\',\n
\'xaxis\': {\n
\'autorange\': true,\n
\'rangeselector\': selectorOptions,\n
}\n
}\n
);\n
});\n
}\n
\n
function unpack(rows, key) {\n
return rows.map(function(row) { return row[key]; });\n
}\n
\n
function getData(start_date, stop_date){\n
var graph_data=[],\n
ratio = screen.availWidth / 1024,\n
interval,\n
frequency,\n
start_index,\n
stop_index,\n
array_id;\n
\n
if (stop_date === undefined) {\n
frequency = 30000;\n
start_index = 0;\n
stop_index = 0;\n
} else {\n
interval = stop_date - start_date;\n
if (interval >= 1000 * 60 * 60 * 24 * 100 * ratio) {\n
frequency = 30000;\n
} else if (interval >= 1000 * 60 * 60 * 24 * 28 * ratio) {\n
frequency = 3000;\n
} else if (interval >= 1000 * 60 * 60 * 24 * 7 * ratio) {\n
frequency = 300;\n
} else {\n
frequency = 60;\n
}\n
}\n
return jio.allDocs({\n
query: \'portal_type:"Data Analysis Line" AND \' +\n
\'title: "Resampled Array (\' + frequency + \' Seconds)" AND \' +\n
\'resource_reference:"GENERIC-INTERVAL-RESAMPLED-ARRAY" AND \' +\n
\'parent_source_title:"Sample Factory" AND \' +\n
\'simulation_state:"started"\'\n
})\n
.push(function (result) {\n
var data_analysis_line_id = result.data.rows[0].id;\n
return jio.allDocs({\n
query: \'portal_type:"Data Array" AND \' +\n
\'aggregate_related_relative_url:"\' + data_analysis_line_id +\'"\'\n
});\n
})\n
.push(function (result) {\n
array_id = result.data.rows[0].id;\n
return wendelin.getArrayRawSlice(gadget, array_id, 0, 1);\n
})\n
.push(function (result) {\n
array_start_date = wendelin.convertFirstColToDate([[result.data[0]]])[0][0];\n
if (start_index === undefined) {\n
start_index = Math.max(0, Math.ceil((start_date - array_start_date) / (frequency*1000))),\n
stop_index = Math.ceil((stop_date - array_start_date) / (frequency*1000));\n
}\n
return wendelin.getArrayRawSlice(gadget, array_id, start_index, stop_index);\n
})\n
.push(function(result) {\n
for (i = 0; i < label_list.length; i += 1) {\n
graph_data = graph_data.concat(nj.unpack(result.pick( null, label_list[i])));\n
}\n
return graph_data\n
})\n
.push(function(result){\n
var filtered_graph_data = [];\n
for (var i=0; i<result.length; i++) {\n
if (result[i][0] != 0) {\n
filtered_graph_data.push(result[i]);\n
}\n
}\n
return wendelin.convertFirstColToDate(filtered_graph_data)\n
})\n
.push(function (graph_data) {\n
var humidity_trace = {\n
type: "scattergl",\n
mode: "markers",\n
name: \'Humidity(%)\',\n
x: unpack(graph_data, label_list.indexOf("date")),\n
y: unpack(graph_data, label_list.indexOf("humidity_mean")),\n
line: {color: \'#17BECF\'}\n
}\n
\n
var pressure_trace = {\n
type: "scattergl",\n
mode: "markers",\n
name: \'Pressure(Pa)\',\n
x: unpack(graph_data, label_list.indexOf("date")),\n
y: unpack(graph_data, label_list.indexOf("pressure_mean")),\n
line: {color: \'#7F7F7F\'}\n
}\n
\n
var temperature_trace = {\n
type: "scattergl",\n
mode: "markers",\n
name: \'Temperature(C°)\',\n
x: unpack(graph_data, label_list.indexOf("date")),\n
y: unpack(graph_data, label_list.indexOf("temperature_mean")),\n
line: {color: \'#FF0000\'}\n
}\n
\n
var data = [humidity_trace,pressure_trace,temperature_trace];\n
return data\n
});\n
}\n
\n
function plot () {\n
return getData()\n
.push(function (data) {\n
Plotly.newPlot(\n
graph,\n
data,\n
{ \'title\' :\'Environmental Sensor Data\',\n
\'xaxis\': {\n
\'autorange\': true,\n
\'rangeselector\': selectorOptions,}\n
});\n
graph.on(\'plotly_relayout\', function(eventdata) {\n
var start_date = new Date(eventdata["xaxis.range[0]"]),\n
stop_date = new Date(eventdata["xaxis.range[1]"]);\n
return update_graph(start_date, stop_date);\n
});\n
});\n
}\n
\n
plot();
]]></string> </value>
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<value> <string></string> </value>
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<ZopeData>
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<pickle>
<dictionary>
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<key> <string>_Access_contents_information_Permission</string> </key>
<value>
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erp5_wendelin
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This new business template aims to quickly display real data visualization through a JS notebook.
It contains real sample data obtained from an environmental sensor, and a notebook that displays the data on a ploty graph.
\ No newline at end of file
data_acquisition_unit_module/wendelin_environment_sensor
data_analysis_module/wendelin_convert_environment_raw_data
data_analysis_module/wendelin_convert_environment_raw_data/**
data_analysis_module/wendelin_resample_generic_interval_array
data_analysis_module/wendelin_resample_generic_interval_array/**
data_array_module/wendelin_convert_environment_raw_data
data_array_module/wendelin_resample_generic_interval_array_300
data_array_module/wendelin_resample_generic_interval_array_3000
data_array_module/wendelin_resample_generic_interval_array_30000
data_array_module/wendelin_resample_generic_interval_array_60
data_ingestion_module/wendelin_date-sensor_1
data_ingestion_module/wendelin_date-sensor_1/**
data_operation_module/wendelin_ingest_data
data_product_module/wendelin_environment_raw_array
data_product_module/wendelin_environment_raw_array/**
data_product_module/wendelin_generic_interval_resampled_array
data_product_module/wendelin_generic_interval_resampled_array/**
data_product_module/wendelin_sample_environment_raw_data
data_product_module/wendelin_sample_environment_raw_data/**
data_stream_module/wendelin_sensor_1-sample-environment-raw-data
data_supply_module/wendelin_environment_sensor
data_transformation_module/wendelin_convert_environment_raw_data
data_transformation_module/wendelin_resample_generic_interval_array
notebook_module/wendelin_environment_data_sample_chart_editor
notebook_module/wendelin_environment_data_sample_graph
organisation_module/wendelin_nexedi_data_center
organisation_module/wendelin_sample_company
organisation_module/wendelin_sample_factory
progress_indicator_module/wendelin_convert_environment_raw_data
progress_indicator_module/wendelin_resample_generic_interval_array
\ No newline at end of file
data_acquisition_unit_module/wendelin_environment_sensor
data_analysis_module/wendelin_convert_environment_raw_data
data_analysis_module/wendelin_convert_environment_raw_data/**
data_analysis_module/wendelin_resample_generic_interval_array
data_analysis_module/wendelin_resample_generic_interval_array/**
data_array_module/wendelin_convert_environment_raw_data
data_array_module/wendelin_resample_generic_interval_array_300
data_array_module/wendelin_resample_generic_interval_array_3000
data_array_module/wendelin_resample_generic_interval_array_30000
data_array_module/wendelin_resample_generic_interval_array_60
data_ingestion_module/wendelin_date-sensor_1
data_ingestion_module/wendelin_date-sensor_1/**
data_operation_module/wendelin_ingest_data
data_product_module/wendelin_environment_raw_array
data_product_module/wendelin_environment_raw_array/**
data_product_module/wendelin_generic_interval_resampled_array
data_product_module/wendelin_generic_interval_resampled_array/**
data_product_module/wendelin_sample_environment_raw_data
data_product_module/wendelin_sample_environment_raw_data/**
data_stream_module/wendelin_sensor_1-sample-environment-raw-data
data_supply_module/wendelin_environment_sensor
data_transformation_module/wendelin_convert_environment_raw_data
data_transformation_module/wendelin_resample_generic_interval_array
notebook_module/wendelin_environment_data_sample_chart_editor
notebook_module/wendelin_environment_data_sample_graph
organisation_module/wendelin_nexedi_data_center
organisation_module/wendelin_sample_company
organisation_module/wendelin_sample_factory
progress_indicator_module/wendelin_convert_environment_raw_data
progress_indicator_module/wendelin_resample_generic_interval_array
\ No newline at end of file
data_acquisition_unit_module/wendelin_environment_sensor
data_analysis_module/wendelin_convert_environment_raw_data
data_analysis_module/wendelin_convert_environment_raw_data/**
data_analysis_module/wendelin_resample_generic_interval_array
data_analysis_module/wendelin_resample_generic_interval_array/**
data_array_module/wendelin_convert_environment_raw_data
data_array_module/wendelin_resample_generic_interval_array_300
data_array_module/wendelin_resample_generic_interval_array_3000
data_array_module/wendelin_resample_generic_interval_array_30000
data_array_module/wendelin_resample_generic_interval_array_60
data_ingestion_module/wendelin_date-sensor_1
data_ingestion_module/wendelin_date-sensor_1/**
data_operation_module/wendelin_ingest_data
data_product_module/wendelin_environment_raw_array
data_product_module/wendelin_environment_raw_array/**
data_product_module/wendelin_generic_interval_resampled_array
data_product_module/wendelin_generic_interval_resampled_array/**
data_product_module/wendelin_sample_environment_raw_data
data_product_module/wendelin_sample_environment_raw_data/**
data_stream_module/wendelin_sensor_1-sample-environment-raw-data
data_supply_module/wendelin_environment_sensor
data_transformation_module/wendelin_convert_environment_raw_data
data_transformation_module/wendelin_resample_generic_interval_array
notebook_module/wendelin_environment_data_sample_chart_editor
notebook_module/wendelin_environment_data_sample_graph
organisation_module/wendelin_nexedi_data_center
organisation_module/wendelin_sample_company
organisation_module/wendelin_sample_factory
progress_indicator_module/wendelin_convert_environment_raw_data
progress_indicator_module/wendelin_resample_generic_interval_array
\ No newline at end of file
data_acquisition_unit_module/wendelin_environment_sensor
data_analysis_module/wendelin_convert_environment_raw_data
data_analysis_module/wendelin_convert_environment_raw_data/**
data_analysis_module/wendelin_resample_generic_interval_array
data_analysis_module/wendelin_resample_generic_interval_array/**
data_array_module/wendelin_convert_environment_raw_data
data_array_module/wendelin_resample_generic_interval_array_300
data_array_module/wendelin_resample_generic_interval_array_3000
data_array_module/wendelin_resample_generic_interval_array_30000
data_array_module/wendelin_resample_generic_interval_array_60
data_ingestion_module/wendelin_date-sensor_1
data_ingestion_module/wendelin_date-sensor_1/**
data_operation_module/wendelin_ingest_data
data_product_module/wendelin_environment_raw_array
data_product_module/wendelin_environment_raw_array/**
data_product_module/wendelin_generic_interval_resampled_array
data_product_module/wendelin_generic_interval_resampled_array/**
data_product_module/wendelin_sample_environment_raw_data
data_product_module/wendelin_sample_environment_raw_data/**
data_stream_module/wendelin_sensor_1-sample-environment-raw-data
data_supply_module/wendelin_environment_sensor
data_transformation_module/wendelin_convert_environment_raw_data
data_transformation_module/wendelin_resample_generic_interval_array
notebook_module/wendelin_environment_data_sample_chart_editor
notebook_module/wendelin_environment_data_sample_graph
organisation_module/wendelin_nexedi_data_center
organisation_module/wendelin_sample_company
organisation_module/wendelin_sample_factory
progress_indicator_module/wendelin_convert_environment_raw_data
progress_indicator_module/wendelin_resample_generic_interval_array
\ No newline at end of file
erp5_wendelin_data_sample
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5
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