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MTN6/MTN6_SCADA/com.inductiveautomation.perspective/views/Windows/Statistics/view.json

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{
"custom": {},
"params": {
"Tab_ID": 9,
"Table": "Statistics"
},
"propConfig": {
"params.Tab_ID": {
"binding": {
"config": {
"path": "/root/Statistics.props.currentTabIndex"
},
"type": "property"
},
"paramDirection": "output",
"persistent": true
},
"params.Table": {
"binding": {
"config": {
"path": "/root/Statistics.meta.name"
},
"type": "property"
},
"paramDirection": "output",
"persistent": true
}
},
"props": {
"defaultSize": {
"height": 930,
"width": 1920
}
},
"root": {
"children": [
{
"children": [
{
"children": [
{
"meta": {
"name": "Hourly_Scanner"
},
"position": {
"basis": "50%"
},
"propConfig": {
"custom.mode": {
"binding": {
"config": {
"expression": "{..../Statistics.props.currentTabIndex} + {..../Period_not_Global_0/Period.props.value} + {..../Period_not_Global_0/EndTime.custom.Selected}+{..../Period_not_Global_0/StartTime.custom.Selected} + {this.custom.time} + {..../Aggregation_Mode/Dropdown_Aggregation_mode.props.value}"
},
"type": "expr"
},
"onChange": {
"enabled": null,
"script": " db_tag_path \u003d \"[System]Gateway/Database/MariaDB/Available\"\n\t\n if(system.tag.readBlocking([db_tag_path])[0].value):\n path \u003d \"\"\n headers \u003d []\n graph \u003d []\n \n # Mode selection (unchanged)\n if self.parent.parent.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n path \u003d \"Statistics/Hourly Scanner Count\"\n headers \u003d [\"Start Timestamp\",\"Hour\",\"Total (#)\",\"Good Read (#)\",\"No Read (#)\",\"Multi Read (#)\",\"No Code (#)\"]\n self.getSibling(\"Hourly Scanner\").props.series[0].tooltip.text \u003d \"Good Read (#): [bold]{valueY}[/]\"\n self.getSibling(\"Hourly Scanner\").props.series[1].tooltip.text \u003d \"No Read (#): [bold]{valueY}[/]\"\n self.getSibling(\"Hourly Scanner\").props.series[2].tooltip.text \u003d \"Multi Read (#): [bold]{valueY}[/]\"\n self.getSibling(\"Hourly Scanner\").props.series[3].tooltip.text \u003d \"No Code (#): [bold]{valueY}[/]\"\n self.getSibling(\"Hourly Scanner\").props.yAxes[0].value.range.max \u003d \"\"\n elif self.parent.parent.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n path \u003d \"Statistics/Hourly Scanner Percent\"\n headers \u003d [\"Start Timestamp\",\"Hour\",\"Total (%)\",\"Good Read (%)\",\"No Read (%)\",\"Multi Read (%)\",\"No Code (%)\"]\n self.getSibling(\"Hourly Scanner\").props.series[0].tooltip.text \u003d \"Good Read (%): [bold]{valueY}[/]%\"\n self.getSibling(\"Hourly Scanner\").props.series[1].tooltip.text \u003d \"No Read (%): [bold]{valueY}[/]%\"\n self.getSibling(\"Hourly Scanner\").props.series[2].tooltip.text \u003d \"Multi Read (%): [bold]{valueY}[/]%\"\n self.getSibling(\"Hourly Scanner\").props.series[3].tooltip.text \u003d \"No Code (%): [bold]{valueY}[/]%\"\n self.getSibling(\"Hourly Scanner\").props.yAxes[0].value.range.max \u003d 100\n else:\n path \u003d \"Statistics/Hourly Scanner Rate\"\n headers \u003d [\"Start Timestamp\",\"Hour\",\"Total (pph)\",\"Good Read (pph)\",\"No Read (pph)\",\"Multi Read (pph)\",\"No Code (pph)\"]\n self.getSibling(\"Hourly Scanner\").props.series[0].tooltip.text \u003d \"Good Read (pph): [bold]{valueY}[/] pph\"\n self.getSibling(\"Hourly Scanner\").props.series[1].tooltip.text \u003d \"No Read (pph): [bold]{valueY}[/]\"\n self.getSibling(\"Hourly Scanner\").props.series[2].tooltip.text \u003d \"Multi Read (pph): [bold]{valueY}[/] pph\"\n self.getSibling(\"Hourly Scanner\").props.series[3].tooltip.text \u003d \"No Code (pph): [bold]{valueY}[/] pph\"\n self.getSibling(\"Hourly Scanner\").props.yAxes[0].value.range.max \u003d \"\"\n \n params \u003d {\n \"starttime\": self.parent.parent.parent.getChild(\"Period_not_Global_0\").custom.StartDate,\n \"endtime\": self.parent.parent.parent.getChild(\"Period_not_Global_0\").custom.EndDate\n }\n \n # Execute query with error handling\n data \u003d system.dataset.toPyDataSet(system.db.runNamedQuery(path, params))\n \n # Process data (unchanged)\n graph \u003d []\n for row in data: \n dict \u003d {\n \u0027Hour\u0027: row[\u0027Hour\u0027],\n \u0027GoodRead\u0027: row[\u0027GoodRead\u0027],\n \u0027NoRead\u0027: row[\u0027NoRead\u0027],\n \u0027MultiRead\u0027: row[\u0027MultiRead\u0027],\n \u0027NoCode\u0027: row[\u0027NoCode\u0027]\n }\n graph.append(dict)\n \n # Update components\n self.getSibling(\"Hourly Scanner\").props.dataSources.example \u003d graph\n self.props.data \u003d system.dataset.toDataSet(headers, data)\n "
}
},
"custom.time": {
"binding": {
"config": {
"expression": "now(1000)"
},
"type": "expr"
}
}
},
"props": {
"columns": [
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"justify": "auto",
"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
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"style": {
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}
},
"value": {
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"format": "0,0.##",
"justify": "center",
"style": {
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}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
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"toggleSwitch": {
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"selected": "",
"unselected": ""
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"width": ""
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{
"align": "center",
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},
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},
"header": {
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"style": {
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},
"title": "Start Timestamp"
},
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"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
"bar": {
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"style": {
"classes": ""
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"visible": true,
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},
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"align": "center",
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"editable": false,
"field": "rownumber",
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"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Hour"
},
"justify": "center",
"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
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"style": {
"classes": ""
}
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"visible": true,
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},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "Total_count",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Total (#)"
},
"justify": "center",
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"progressBar": {
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"visible": true,
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},
{
"align": "center",
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"field": "GoodRead_count",
"footer": {
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"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
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},
"title": "Good Read (#)"
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},
{
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"field": "NoRead_count",
"footer": {
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"style": {
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},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
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},
"title": "No Read (#)"
},
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"numberFormat": "0,0.##",
"progressBar": {
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"style": {
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}
},
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},
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}
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"visible": true,
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "MultiLabelRead_count",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
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},
"title": "Multi Read (#)"
},
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}
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}
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},
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}
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"visible": true,
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},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "NoCode_count",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
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"justify": "center",
"style": {
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},
"title": "No Code (#)"
},
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},
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}
},
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}
],
"data": {
"$": [
"ds",
192,
1747664567746
],
"$columns": [
{
"data": [],
"name": "Start Timestamp",
"type": "String"
},
{
"data": [],
"name": "Hour",
"type": "String"
},
{
"data": [],
"name": "Total (#)",
"type": "String"
},
{
"data": [],
"name": "Good Read (#)",
"type": "String"
},
{
"data": [],
"name": "No Read (#)",
"type": "String"
},
{
"data": [],
"name": "Multi Read (#)",
"type": "String"
},
{
"data": [],
"name": "No Code (#)",
"type": "String"
}
]
},
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}
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},
"rows": {
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},
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},
"type": "ia.display.table"
},
{
"meta": {
"name": "Hourly Scanner"
},
"position": {
"basis": "50%"
},
"props": {
"dataSources": {
"example": []
},
"series": [
{
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"opacity": ""
},
"stroke": {
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},
"width": null
},
"open": {
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}
},
"data": {
"source": "example",
"x": "Hour",
"y": "GoodRead"
},
"defaultState": {
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},
"hiddenInLegend": false,
"label": {
"text": "Good Read"
},
"line": {
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},
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}
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},
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"enabled": false,
"max": 100,
"min": 2
},
"height": 10,
"label": {
"position": {
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"dy": 0
},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "{name}: [bold]{valueY}[/]"
},
"width": 10
}
],
"connect": true,
"fill": {
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"opacity": 0
},
"minDistance": 0.5,
"stroke": {
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"dashArray": "",
"opacity": 1,
"width": 3
},
"tensionX": 1,
"tensionY": 1
},
"open": {
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}
},
"name": "GoodRead",
"render": "column",
"stepLine": {
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},
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}
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},
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"enabled": false,
"max": 100,
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},
"height": 10,
"label": {
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},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
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},
"tooltip": {
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"opacity": 1
},
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"enabled": true,
"pointerLength": 4,
"text": "{name}: [bold]{valueY}[/]"
},
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}
],
"connect": true,
"fill": {
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"opacity": 0
},
"minDistance": 0.5,
"stroke": {
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"dashArray": "",
"opacity": 1,
"width": 3
},
"tensionX": 1,
"tensionY": 1
},
"open": {
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}
},
"tooltip": {
"background": {
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"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "Good Read (#): [bold]{valueY}[/]"
},
"visible": true,
"xAxis": "Hour",
"yAxis": "Reads",
"zIndex": 0
},
{
"candlestick": {
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},
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}
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}
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},
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},
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"width": 1
},
"width": null
},
"open": {
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}
},
"data": {
"source": "example",
"x": "Hour",
"y": "NoRead"
},
"defaultState": {
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},
"hiddenInLegend": false,
"label": {
"text": "No Read"
},
"line": {
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"deriveFieldsFromData": {
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},
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"enabled": false,
"max": 100,
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},
"height": 10,
"label": {
"position": {
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"dy": 0
},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
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"type": "expr"
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"onChange": {
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"filter": {
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"virtualized": false
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"position": {
"basis": "50%"
},
"props": {
"dataSources": {
"example": {
"$": [
"ds",
192,
1747664567758
],
"$columns": [
{
"data": [],
"name": "Start Timestamp",
"type": "String"
},
{
"data": [],
"name": "Hour",
"type": "String"
},
{
"data": [],
"name": "Total (#)",
"type": "String"
}
]
}
},
"selection": {
"enabled": true
},
"series": [
{
"candlestick": {
"appearance": {
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": "",
"min": ""
},
"stacked": false,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
}
},
"high": {
"x": "",
"y": ""
},
"low": {
"x": "",
"y": ""
},
"open": {
"x": "",
"y": ""
}
},
"column": {
"appearance": {
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": "",
"min": ""
},
"height": null,
"stacked": true,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"width": null
},
"open": {
"x": "",
"y": ""
}
},
"data": {
"source": "example",
"x": "Hour",
"y": "SingleCarrier"
},
"defaultState": {
"visible": true
},
"hiddenInLegend": true,
"label": {
"text": ""
},
"line": {
"appearance": {
"bullets": [
{
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"rotation": "",
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"enabled": false,
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": 100,
"min": 2
},
"height": 10,
"label": {
"position": {
"dx": 0,
"dy": 0
},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "{name}: [bold]{valueY}[/]"
},
"width": 10
}
],
"connect": true,
"fill": {
"color": "",
"opacity": 0
},
"minDistance": 0.5,
"stroke": {
"color": "",
"dashArray": "",
"opacity": 1,
"width": 3
},
"tensionX": 1,
"tensionY": 1
},
"open": {
"x": "",
"y": ""
}
},
"name": "",
"render": "column",
"stepLine": {
"appearance": {
"bullets": [
{
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"rotation": "",
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"enabled": true,
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": 100,
"min": 2
},
"height": 10,
"label": {
"position": {
"dx": 0,
"dy": 0
},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "{name}: [bold]{valueY}[/]"
},
"width": 10
}
],
"connect": true,
"fill": {
"color": "",
"opacity": 0
},
"minDistance": 0.5,
"stroke": {
"color": "",
"dashArray": "",
"opacity": 1,
"width": 3
},
"tensionX": 1,
"tensionY": 1
},
"open": {
"x": "",
"y": ""
}
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "Total (#): [bold]{valueY}[/]"
},
"visible": false,
"xAxis": "Hour",
"yAxis": "Carriers",
"zIndex": 0
},
{
"candlestick": {
"appearance": {
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": "",
"min": ""
},
"stacked": false,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
}
},
"high": {
"x": "",
"y": ""
},
"low": {
"x": "",
"y": ""
},
"open": {
"x": "",
"y": ""
}
},
"column": {
"appearance": {
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"fill": {
"color": "#FF0000",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": "",
"min": ""
},
"height": null,
"stacked": true,
"stroke": {
"color": "#FF0000",
"opacity": 1,
"width": 1
},
"width": null
},
"open": {
"x": "",
"y": ""
}
},
"data": {
"source": "example",
"x": "Hour",
"y": "DoubleCarrier"
},
"defaultState": {
"visible": true
},
"hiddenInLegend": true,
"label": {
"text": "Double Carrier"
},
"line": {
"appearance": {
"bullets": [
{
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"rotation": "",
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"enabled": false,
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": 100,
"min": 2
},
"height": 10,
"label": {
"position": {
"dx": 0,
"dy": 0
},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "{name}: [bold]{valueY}[/]"
},
"width": 10
}
],
"connect": true,
"fill": {
"color": "",
"opacity": 0
},
"minDistance": 0.5,
"stroke": {
"color": "",
"dashArray": "",
"opacity": 1,
"width": 3
},
"tensionX": 1,
"tensionY": 1
},
"open": {
"x": "",
"y": ""
}
},
"name": "NoRead",
"render": "column",
"stepLine": {
"appearance": {
"bullets": [
{
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"rotation": "",
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"enabled": true,
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": 100,
"min": 2
},
"height": 10,
"label": {
"position": {
"dx": 0,
"dy": 0
},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "{name}: [bold]{valueY}[/]"
},
"width": 10
}
],
"connect": true,
"fill": {
"color": "",
"opacity": 0
},
"minDistance": 0.5,
"stroke": {
"color": "",
"dashArray": "",
"opacity": 1,
"width": 3
},
"tensionX": 1,
"tensionY": 1
},
"open": {
"x": "",
"y": ""
}
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "Total (#): [bold]{valueY}[/]"
},
"visible": false,
"xAxis": "Hour",
"yAxis": "Carriers",
"zIndex": 0
}
],
"xAxes": [
{
"appearance": {
"font": {
"size": "",
"weight": 500
},
"grid": {
"color": "",
"dashArray": "",
"minDistance": 60,
"opacity": 1,
"position": 0.5
},
"inside": false,
"labels": {
"color": "",
"horizontalCenter": "middle",
"opacity": 1,
"rotation": 0,
"verticalCenter": "middle"
},
"opposite": false
},
"category": {
"break": {
"enabled": false,
"endCategory": "",
"size": 0.05,
"startCategory": ""
}
},
"date": {
"baseInterval": {
"count": 1,
"enabled": false,
"skipEmptyPeriods": false,
"timeUnit": "hour"
},
"break": {
"enabled": false,
"endDate": "",
"size": 0.05,
"startDate": ""
},
"format": "M/d",
"inputFormat": "yyyy-MM-dd kk:mm:ss",
"range": {
"max": "",
"min": "",
"useStrict": true
}
},
"inversed": false,
"label": {
"color": "",
"enabled": true,
"text": "Hour"
},
"name": "Hour",
"render": "category",
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": ""
},
"value": {
"break": {
"enabled": false,
"endValue": 100,
"size": 0.05,
"startValue": 0
},
"format": "#,###.##",
"logarithmic": false,
"range": {
"max": "",
"min": "",
"useStrict": false
}
},
"visible": true
}
],
"yAxes": [
{
"appearance": {
"font": {
"size": "",
"weight": 500
},
"grid": {
"color": "",
"dashArray": "",
"minDistance": null,
"opacity": 1,
"position": 0.5
},
"inside": false,
"labels": {
"color": "",
"horizontalCenter": "middle",
"opacity": 1,
"rotation": 0,
"verticalCenter": "middle"
},
"opposite": false
},
"category": {
"break": {
"enabled": false,
"endCategory": "",
"size": 0.05,
"startCategory": ""
}
},
"date": {
"baseInterval": {
"count": 1,
"enabled": false,
"skipEmptyPeriods": false,
"timeUnit": "hour"
},
"break": {
"enabled": false,
"endDate": "",
"size": 0.05,
"startDate": ""
},
"format": "M/d/yyyy HH:mm:ss",
"inputFormat": "yyyy-MM-dd kk:mm:ss",
"range": {
"max": "",
"min": "",
"useStrict": false
}
},
"inversed": false,
"label": {
"color": "",
"enabled": true,
"text": ""
},
"name": "Carriers",
"render": "value",
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": ""
},
"value": {
"break": {
"enabled": false,
"endValue": 100,
"size": 0.05,
"startValue": 0
},
"format": "#,###.##",
"logarithmic": false,
"range": {
"max": "",
"min": "",
"useStrict": false
}
},
"visible": true
}
]
},
"type": "ia.chart.xy"
}
],
"meta": {
"name": "Hourly_Induct"
},
"position": {
"tabIndex": 5
},
"props": {
"direction": "column"
},
"type": "ia.container.flex"
},
{
"children": [
{
"meta": {
"name": "Hourly_Sorter_Summary"
},
"position": {
"basis": "50%"
},
"propConfig": {
"custom.mode": {
"binding": {
"config": {
"expression": "{..../Statistics.props.currentTabIndex} + {..../Period_not_Global_0/Period.props.value} + {..../Period_not_Global_0/EndTime.custom.Selected}+{..../Period_not_Global_0/StartTime.custom.Selected} + {this.custom.time} + {..../Aggregation_Mode/Dropdown_Aggregation_mode.props.value}"
},
"type": "expr"
},
"onChange": {
"enabled": null,
"script": " db_tag_path \u003d \"[System]Gateway/Database/MariaDB/Available\"\n\t\n if(system.tag.readBlocking([db_tag_path])[0].value):\n\t path \u003d \"\"\n\t headers \u003d []\n\t graph \u003d []\n\t\n\t mode \u003d self.parent.parent.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value\n\t\n\t if mode \u003d\u003d \"Count\":\n\t path \u003d \"Statistics/Hourly Sorter Summary Count\"\n\t headers \u003d [\"Start Timestamp\", \"Hour\", \"Inducted (#)\", \"Sorted (#)\", \"Awcs Recirc (#)\", \"Operational Recirc (#)\", \"Machine Recirc (#)\"]\n\t self.getSibling(\"Hourly Sorter Summary\").props.series[0].tooltip.text \u003d \"Sorted (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Summary\").props.series[1].tooltip.text \u003d \"Awcs Recirc (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Summary\").props.series[2].tooltip.text \u003d \"Operational Recirc (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Summary\").props.series[3].tooltip.text \u003d \"Machine Recirc (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Summary\").props.yAxes[0].value.range.max \u003d \"\"\n\t elif mode \u003d\u003d \"Percentage\":\n\t path \u003d \"Statistics/Hourly Sorter Summary Percent\"\n\t headers \u003d [\"Start Timestamp\", \"Hour\", \"Inducted (%)\", \"Sorted (%)\", \"Awcs Recirc (%)\", \"Operational Recirc (%)\", \"Machine Recirc (%)\"]\n\t self.getSibling(\"Hourly Sorter Summary\").props.series[0].tooltip.text \u003d \"Sorted (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Summary\").props.series[1].tooltip.text \u003d \"Awcs Recirc (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Summary\").props.series[2].tooltip.text \u003d \"Operational Recirc (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Summary\").props.series[3].tooltip.text \u003d \"Machine Recirc (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Summary\").props.yAxes[0].value.range.max \u003d 100\n\t else:\n\t path \u003d \"Statistics/Hourly Sorter Summary Rate\"\n\t headers \u003d [\"Start Timestamp\", \"Hour\", \"Inducted (pph)\", \"Sorted (pph)\", \"Awcs Recirc (pph)\", \"Operational Recirc (pph)\", \"Machine Recirc (pph)\"]\n\t self.getSibling(\"Hourly Sorter Summary\").props.series[0].tooltip.text \u003d \"Sorted (pph): [bold]{valueY}[/] pph\"\n\t self.getSibling(\"Hourly Sorter Summary\").props.series[1].tooltip.text \u003d \"Awcs Recirc (pph): [bold]{valueY}[/] pph\"\n\t self.getSibling(\"Hourly Sorter Summary\").props.series[2].tooltip.text \u003d \"Operational Recirc (pph): [bold]{valueY}[/] pph\"\n\t self.getSibling(\"Hourly Sorter Summary\").props.series[3].tooltip.text \u003d \"Machine Recirc (pph): [bold]{valueY}[/] pph\"\n\t self.getSibling(\"Hourly Sorter Summary\").props.yAxes[0].value.range.max \u003d \"\"\n\t\n\t params \u003d {\n\t \"starttime\": self.parent.parent.parent.getChild(\"Period_not_Global_0\").custom.StartDate,\n\t \"endtime\": self.parent.parent.parent.getChild(\"Period_not_Global_0\").custom.EndDate\n\t }\n\t\n\t data \u003d system.dataset.toPyDataSet(system.db.runNamedQuery(path, params))\n\t\n\t for row in data:\n\t entry \u003d {\n\t \"Hour\": row[\"Hour\"],\n\t \"Sorted\": row[\"Sorted\"],\n\t \"AwcsRecirc\": row[\"AwcsRecirc\"],\n\t \"OperationalRecirc\": row[\"OperationalRecirc\"],\n\t \"MachineRecirc\": row[\"MachineRecirc\"]\n\t }\n\t graph.append(entry)\n\t\n\t self.getSibling(\"Hourly Sorter Summary\").props.dataSources.example \u003d graph\n\t self.props.data \u003d system.dataset.toDataSet(headers, data)\n"
}
},
"custom.time": {
"binding": {
"config": {
"expression": "now(1000)"
},
"type": "expr"
}
}
},
"props": {
"columns": [
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"justify": "auto",
"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"visible": false,
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY HH:mm:ss",
"editable": false,
"field": "endt",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Start Timestamp"
},
"justify": "center",
"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "date",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"visible": true,
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY HH:mm:ss",
"editable": false,
"field": "rownumber",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Hour"
},
"justify": "center",
"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"visible": true,
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "Induct_count",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Induct (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"visible": true,
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "Sorted_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Sorted (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
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"inside": false,
"labels": {
"color": "",
"horizontalCenter": "middle",
"opacity": 1,
"rotation": 0,
"verticalCenter": "middle"
},
"opposite": false
},
"category": {
"break": {
"enabled": false,
"endCategory": "",
"size": 0.05,
"startCategory": ""
}
},
"date": {
"baseInterval": {
"count": 1,
"enabled": false,
"skipEmptyPeriods": false,
"timeUnit": "hour"
},
"break": {
"enabled": false,
"endDate": "",
"size": 0.05,
"startDate": ""
},
"format": "M/d",
"inputFormat": "yyyy-MM-dd kk:mm:ss",
"range": {
"max": "",
"min": "",
"useStrict": true
}
},
"inversed": false,
"label": {
"color": "",
"enabled": true,
"text": "Hour"
},
"name": "Hour",
"render": "category",
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": ""
},
"value": {
"break": {
"enabled": false,
"endValue": 100,
"size": 0.05,
"startValue": 0
},
"format": "#,###.##",
"logarithmic": false,
"range": {
"max": "",
"min": "",
"useStrict": false
}
},
"visible": true
}
],
"yAxes": [
{
"appearance": {
"font": {
"size": "",
"weight": 500
},
"grid": {
"color": "",
"dashArray": "",
"minDistance": null,
"opacity": 1,
"position": 0.5
},
"inside": false,
"labels": {
"color": "",
"horizontalCenter": "middle",
"opacity": 1,
"rotation": 0,
"verticalCenter": "middle"
},
"opposite": false
},
"category": {
"break": {
"enabled": false,
"endCategory": "",
"size": 0.05,
"startCategory": ""
}
},
"date": {
"baseInterval": {
"count": 1,
"enabled": false,
"skipEmptyPeriods": false,
"timeUnit": "hour"
},
"break": {
"enabled": false,
"endDate": "",
"size": 0.05,
"startDate": ""
},
"format": "M/d/yyyy HH:mm:ss",
"inputFormat": "yyyy-MM-dd kk:mm:ss",
"range": {
"max": "",
"min": "",
"useStrict": false
}
},
"inversed": false,
"label": {
"color": "",
"enabled": true,
"text": ""
},
"name": "Induct",
"render": "value",
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": ""
},
"value": {
"break": {
"enabled": false,
"endValue": 100,
"size": 0.05,
"startValue": 0
},
"format": "#,###.##",
"logarithmic": false,
"range": {
"max": "",
"min": "",
"useStrict": false
}
},
"visible": true
}
]
},
"type": "ia.chart.xy"
}
],
"meta": {
"name": "Hourly_Sorter_Summary"
},
"position": {
"tabIndex": 7
},
"props": {
"direction": "column"
},
"type": "ia.container.flex"
},
{
"children": [
{
"meta": {
"name": "Hourly_Sorter_Details"
},
"position": {
"basis": "50%"
},
"propConfig": {
"custom.mode": {
"binding": {
"config": {
"expression": "{..../Statistics.props.currentTabIndex} + {..../Period_not_Global_0/Period.props.value} + {..../Period_not_Global_0/EndTime.custom.Selected}+{..../Period_not_Global_0/StartTime.custom.Selected} + {this.custom.time} + {..../Aggregation_Mode/Dropdown_Aggregation_mode.props.value}"
},
"type": "expr"
},
"onChange": {
"enabled": null,
"script": " db_tag_path \u003d \"[System]Gateway/Database/MariaDB/Available\"\n\t\n if(system.tag.readBlocking([db_tag_path])[0].value):\n\t path \u003d \"\"\n\t headers \u003d []\n\t graph \u003d []\n\t\n\t if self.parent.parent.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t path \u003d \"Statistics/Hourly Sorter Details Count\"\n\t headers \u003d [\"Start Timestamp\",\"Hour\",\"Inducted (#)\",\"Sorted (#)\",\"Dest Inv (#)\",\"Dest None (#)\",\"Dest Dis (#)\",\"Dest Full (#)\",\"Unexpected (#)\",\"Dest Fault (#)\",\"Div Fail (#)\",\"Gap Err (#)\",\"Lost (#)\",\"Track Err (#)\",\"Unknown (#)\",\"Unsafe (#)\"]\n\t self.getSibling(\"Hourly Sorter Details\").props.series[0].tooltip.text \u003d \"Sorted (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[1].tooltip.text \u003d \"Dest Invalid (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[2].tooltip.text \u003d \"Dest None (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[3].tooltip.text \u003d \"Dest Disabled (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[4].tooltip.text \u003d \"Dest Full (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[5].tooltip.text \u003d \"Unexpected (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[6].tooltip.text \u003d \"Dest Fault (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[7].tooltip.text \u003d \"Div Fail (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[8].tooltip.text \u003d \"Gap Error (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[9].tooltip.text \u003d \"Lost (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[10].tooltip.text \u003d \"Tracking Err (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[11].tooltip.text \u003d \"Unknown (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[12].tooltip.text \u003d \"Unsafe (#): [bold]{valueY}[/]\"\n\t self.getSibling(\"Hourly Sorter Details\").props.yAxes[0].value.range.max \u003d \"\"\n\t elif self.parent.parent.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t path \u003d \"Statistics/Hourly Sorter Details Percent\"\n\t headers \u003d [\"Start Timestamp\",\"Hour\",\"Inducted (%)\",\"Sorted (%)\",\"Dest Inv (%)\",\"Dest None (%)\",\"Dest Dis (%)\",\"Dest Full (%)\",\"Unexpected (%)\",\"Dest Fault (%)\",\"Div Fail (%)\",\"Gap Err (%)\",\"Lost (%)\",\"Track Err (%)\",\"Unknown (%)\",\"Unsafe (%)\"]\n\t self.getSibling(\"Hourly Sorter Details\").props.series[0].tooltip.text \u003d \"Sorted (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[1].tooltip.text \u003d \"Dest Invalid (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[2].tooltip.text \u003d \"Dest None (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[3].tooltip.text \u003d \"Dest Disabled (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[4].tooltip.text \u003d \"Dest Full (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[5].tooltip.text \u003d \"Unexpected (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[6].tooltip.text \u003d \"Dest Fault (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[7].tooltip.text \u003d \"Div Fail (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[8].tooltip.text \u003d \"Gap Error (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[9].tooltip.text \u003d \"Lost (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[10].tooltip.text \u003d \"Tracking Err (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[11].tooltip.text \u003d \"Unknown (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[12].tooltip.text \u003d \"Unsafe (%): [bold]{valueY}[/]%\"\n\t self.getSibling(\"Hourly Sorter Details\").props.yAxes[0].value.range.max \u003d 100\n\t else:\n\t path \u003d \"Statistics/Hourly Sorter Details Rate\"\n\t headers \u003d [\"Start Timestamp\",\"Hour\",\"Inducted (pph)\",\"Sorted (pph)\",\"Dest Inv (pph)\",\"Dest None (pph)\",\"Dest Dis (pph)\",\"Dest Full (pph)\",\"Unexpected (pph)\",\"Dest Fault (pph)\",\"Div Fail (pph)\",\"Gap Err (pph)\",\"Lost (pph)\",\"Track Err (pph)\",\"Unknown (pph)\",\"Unsafe (pph)\"]\n\t self.getSibling(\"Hourly Sorter Details\").props.series[0].tooltip.text \u003d \"Sorted (pph): [bold]{valueY}[/]pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[1].tooltip.text \u003d \"Dest Invalid (pph): [bold]{valueY}[/]pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[2].tooltip.text \u003d \"Dest None (pph): [bold]{valueY}[/] pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[3].tooltip.text \u003d \"Dest Disabled (pph): [bold]{valueY}[/]pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[4].tooltip.text \u003d \"Dest Full (pph): [bold]{valueY}[/]pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[5].tooltip.text \u003d \"Unexpected (pph): [bold]{valueY}[/]pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[6].tooltip.text \u003d \"Dest Fault (pph): [bold]{valueY}[/]pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[7].tooltip.text \u003d \"Div Fail (pph): [bold]{valueY}[/]pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[8].tooltip.text \u003d \"Gap Error (pph): [bold]{valueY}[/]pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[9].tooltip.text \u003d \"Lost (pph): [bold]{valueY}[/]pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[10].tooltip.text \u003d \"Tracking Err (pph): [bold]{valueY}[/]pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[11].tooltip.text \u003d \"Unknown (pph): [bold]{valueY}[/]pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.series[12].tooltip.text \u003d \"Unsafe (pph): [bold]{valueY}[/]pph\"\n\t self.getSibling(\"Hourly Sorter Details\").props.yAxes[0].value.range.max \u003d \"\"\n\t\n\t params \u003d {\n\t \"starttime\": self.parent.parent.parent.getChild(\"Period_not_Global_0\").custom.StartDate,\n\t \"endtime\": self.parent.parent.parent.getChild(\"Period_not_Global_0\").custom.EndDate\n\t }\n\t\n\t data \u003d system.dataset.toPyDataSet(system.db.runNamedQuery(path, params))\n\t\n\t for row in data:\n\t dict \u003d {}\n\t dict[\u0027Hour\u0027] \u003d row[\u0027Hour\u0027]\n\t dict[\u0027Sorted\u0027] \u003d row[\u0027Sorted\u0027]\n\t dict[\u0027DestinationInvalid\u0027] \u003d row[\u0027DestinationInvalid\u0027]\n\t dict[\u0027DestinationNone\u0027] \u003d row[\u0027DestinationNone\u0027]\n\t dict[\u0027DestinationDisabled\u0027] \u003d row[\u0027DestinationDisabled\u0027]\n\t dict[\u0027DestinationFull\u0027] \u003d row[\u0027DestinationFull\u0027]\n\t dict[\u0027Unexpected\u0027] \u003d row[\u0027Unexpected\u0027]\n\t dict[\u0027DestinationFault\u0027] \u003d row[\u0027DestinationFault\u0027]\n\t dict[\u0027DivertFail\u0027] \u003d row[\u0027DivertFail\u0027]\n\t dict[\u0027GapError\u0027] \u003d row[\u0027GapError\u0027]\n\t dict[\u0027Lost\u0027] \u003d row[\u0027Lost\u0027]\n\t dict[\u0027TrackingError\u0027] \u003d row[\u0027TrackingError\u0027]\n\t dict[\u0027Unknown\u0027] \u003d row[\u0027Unknown\u0027]\n\t dict[\u0027Unsafe\u0027] \u003d row[\u0027Unsafe\u0027]\n\t graph.append(dict)\n\t\n\t self.getSibling(\"Hourly Sorter Details\").props.dataSources.example \u003d graph\n\t self.props.data \u003d system.dataset.toDataSet(headers, data)\n\t"
}
},
"custom.time": {
"binding": {
"config": {
"expression": "now(1000)"
},
"type": "expr"
}
}
},
"props": {
"cells": {
"style": {
"fontSize": 14
}
},
"data": {
"$": [
"ds",
192,
1747664567761
],
"$columns": [
{
"data": [],
"name": "Start Timestamp",
"type": "String"
},
{
"data": [],
"name": "Hour",
"type": "String"
},
{
"data": [],
"name": "Inducted (#)",
"type": "String"
},
{
"data": [],
"name": "Sorted (#)",
"type": "String"
},
{
"data": [],
"name": "Dest Inv (#)",
"type": "String"
},
{
"data": [],
"name": "Dest None (#)",
"type": "String"
},
{
"data": [],
"name": "Dest Dis (#)",
"type": "String"
},
{
"data": [],
"name": "Dest Full (#)",
"type": "String"
},
{
"data": [],
"name": "Unexpected (#)",
"type": "String"
},
{
"data": [],
"name": "Dest Fault (#)",
"type": "String"
},
{
"data": [],
"name": "Div Fail (#)",
"type": "String"
},
{
"data": [],
"name": "Gap Err (#)",
"type": "String"
},
{
"data": [],
"name": "Lost (#)",
"type": "String"
},
{
"data": [],
"name": "Track Err (#)",
"type": "String"
},
{
"data": [],
"name": "Unknown (#)",
"type": "String"
},
{
"data": [],
"name": "Unsafe (#)",
"type": "String"
}
]
},
"filter": {
"enabled": true,
"results": {
"enabled": true
}
},
"pager": {
"bottom": false
},
"rows": {
"style": {
"textAlign": "center"
}
},
"selection": {
"selectedRow": 3
}
},
"type": "ia.display.table"
},
{
"meta": {
"name": "Hourly Sorter Details"
},
"position": {
"basis": "50%"
},
"props": {
"dataSources": {
"example": []
},
"series": [
{
"candlestick": {
"appearance": {
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": "",
"min": ""
},
"stacked": false,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
}
},
"high": {
"x": "",
"y": ""
},
"low": {
"x": "",
"y": ""
},
"open": {
"x": "",
"y": ""
}
},
"column": {
"appearance": {
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": "",
"min": ""
},
"height": null,
"stacked": true,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"width": null
},
"open": {
"x": "",
"y": ""
}
},
"data": {
"source": "example",
"x": "Hour",
"y": "Sorted"
},
"defaultState": {
"visible": true
},
"hiddenInLegend": false,
"label": {
"text": "Sorted"
},
"line": {
"appearance": {
"bullets": [
{
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"rotation": "",
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"enabled": false,
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": 100,
"min": 2
},
"height": 10,
"label": {
"position": {
"dx": 0,
"dy": 0
},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "{name}: [bold]{valueY}[/]"
},
"width": 10
}
],
"connect": true,
"fill": {
"color": "",
"opacity": 0
},
"minDistance": 0.5,
"stroke": {
"color": "",
"dashArray": "",
"opacity": 1,
"width": 3
},
"tensionX": 1,
"tensionY": 1
},
"open": {
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"y": ""
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},
"name": "Sorted",
"render": "column",
"stepLine": {
"appearance": {
"bullets": [
{
"deriveFieldsFromData": {
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"color": "",
"opacity": ""
},
"rotation": "",
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}
},
"enabled": true,
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": 100,
"min": 2
},
"height": 10,
"label": {
"position": {
"dx": 0,
"dy": 0
},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "{name}: [bold]{valueY}[/]"
},
"width": 10
}
],
"connect": true,
"fill": {
"color": "",
"opacity": 0
},
"minDistance": 0.5,
"stroke": {
"color": "",
"dashArray": "",
"opacity": 1,
"width": 3
},
"tensionX": 1,
"tensionY": 1
},
"open": {
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"y": ""
}
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "Sorted (#): [bold]{valueY}[/]"
},
"visible": true,
"xAxis": "Hour",
"yAxis": "Induct",
"zIndex": 0
},
{
"candlestick": {
"appearance": {
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": "",
"min": ""
},
"stacked": false,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
}
},
"high": {
"x": "",
"y": ""
},
"low": {
"x": "",
"y": ""
},
"open": {
"x": "",
"y": ""
}
},
"column": {
"appearance": {
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"fill": {
"color": "#FF8C00",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": "",
"min": ""
},
"height": null,
"stacked": true,
"stroke": {
"color": "#FF8C00",
"opacity": 1,
"width": 1
},
"width": null
},
"open": {
"x": "",
"y": ""
}
},
"data": {
"source": "example",
"x": "Hour",
"y": "DestinationInvalid"
},
"defaultState": {
"visible": true
},
"hiddenInLegend": false,
"label": {
"text": "Dest Inv"
},
"line": {
"appearance": {
"bullets": [
{
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"rotation": "",
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"enabled": false,
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": 100,
"min": 2
},
"height": 10,
"label": {
"position": {
"dx": 0,
"dy": 0
},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "{name}: [bold]{valueY}[/]"
},
"width": 10
}
],
"connect": true,
"fill": {
"color": "",
"opacity": 0
},
"minDistance": 0.5,
"stroke": {
"color": "",
"dashArray": "",
"opacity": 1,
"width": 3
},
"tensionX": 1,
"tensionY": 1
},
"open": {
"x": "",
"y": ""
}
},
"name": "DestinationInvalid",
"render": "column",
"stepLine": {
"appearance": {
"bullets": [
{
"deriveFieldsFromData": {
"fill": {
"color": "",
"opacity": ""
},
"rotation": "",
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"enabled": true,
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": 100,
"min": 2
},
"height": 10,
"label": {
"position": {
"dx": 0,
"dy": 0
},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"tooltip": {
"background": {
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"max": 100,
"min": 2
},
"height": 10,
"label": {
"position": {
"dx": 0,
"dy": 0
},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "{name}: [bold]{valueY}[/]"
},
"width": 10
}
],
"connect": true,
"fill": {
"color": "",
"opacity": 0
},
"minDistance": 0.5,
"stroke": {
"color": "",
"dashArray": "",
"opacity": 1,
"width": 3
},
"tensionX": 1,
"tensionY": 1
},
"open": {
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"y": ""
}
},
"name": "unsafe",
"render": "column",
"stepLine": {
"appearance": {
"bullets": [
{
"deriveFieldsFromData": {
"fill": {
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"opacity": ""
},
"rotation": "",
"stroke": {
"color": "",
"opacity": "",
"width": ""
}
},
"enabled": true,
"fill": {
"color": "",
"opacity": 1
},
"heatRules": {
"dataField": "",
"enabled": false,
"max": 100,
"min": 2
},
"height": 10,
"label": {
"position": {
"dx": 0,
"dy": 0
},
"text": "{value}"
},
"render": "circle",
"rotation": 0,
"stroke": {
"color": "",
"opacity": 1,
"width": 1
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "{name}: [bold]{valueY}[/]"
},
"width": 10
}
],
"connect": true,
"fill": {
"color": "",
"opacity": 0
},
"minDistance": 0.5,
"stroke": {
"color": "",
"dashArray": "",
"opacity": 1,
"width": 3
},
"tensionX": 1,
"tensionY": 1
},
"open": {
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}
},
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": "Unsafe (#): [bold]{valueY}[/]"
},
"visible": true,
"xAxis": "Hour",
"yAxis": "Induct",
"zIndex": 0
}
],
"xAxes": [
{
"appearance": {
"font": {
"size": "",
"weight": 500
},
"grid": {
"color": "",
"dashArray": "",
"minDistance": 60,
"opacity": 1,
"position": 0.5
},
"inside": false,
"labels": {
"color": "",
"horizontalCenter": "middle",
"opacity": 1,
"rotation": 0,
"verticalCenter": "middle"
},
"opposite": false
},
"category": {
"break": {
"enabled": false,
"endCategory": "",
"size": 0.05,
"startCategory": ""
}
},
"date": {
"baseInterval": {
"count": 1,
"enabled": false,
"skipEmptyPeriods": false,
"timeUnit": "hour"
},
"break": {
"enabled": false,
"endDate": "",
"size": 0.05,
"startDate": ""
},
"format": "M/d",
"inputFormat": "yyyy-MM-dd kk:mm:ss",
"range": {
"max": "",
"min": "",
"useStrict": true
}
},
"inversed": false,
"label": {
"color": "",
"enabled": true,
"text": "Hour"
},
"name": "Hour",
"render": "category",
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": ""
},
"value": {
"break": {
"enabled": false,
"endValue": 100,
"size": 0.05,
"startValue": 0
},
"format": "#,###.##",
"logarithmic": false,
"range": {
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}
},
"visible": true
}
],
"yAxes": [
{
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"weight": 500
},
"grid": {
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"minDistance": null,
"opacity": 1,
"position": 0.5
},
"inside": false,
"labels": {
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"horizontalCenter": "middle",
"opacity": 1,
"rotation": 0,
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},
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},
"category": {
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}
},
"date": {
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"enabled": false,
"skipEmptyPeriods": false,
"timeUnit": "hour"
},
"break": {
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"endDate": "",
"size": 0.05,
"startDate": ""
},
"format": "M/d/yyyy HH:mm:ss",
"inputFormat": "yyyy-MM-dd kk:mm:ss",
"range": {
"max": "",
"min": "",
"useStrict": false
}
},
"inversed": false,
"label": {
"color": "",
"enabled": true,
"text": ""
},
"name": "Induct",
"render": "value",
"tooltip": {
"background": {
"color": "",
"opacity": 1
},
"cornerRadius": 3,
"enabled": true,
"pointerLength": 4,
"text": ""
},
"value": {
"break": {
"enabled": false,
"endValue": 100,
"size": 0.05,
"startValue": 0
},
"format": "#,###.##",
"logarithmic": false,
"range": {
"max": "",
"min": "",
"useStrict": false
}
},
"visible": true
}
]
},
"type": "ia.chart.xy"
}
],
"meta": {
"name": "Hourly_Sorter_Details"
},
"position": {
"tabIndex": 8
},
"props": {
"direction": "column"
},
"type": "ia.container.flex"
},
{
"children": [
{
"meta": {
"name": "Hourly_Lane"
},
"position": {
"basis": "50%"
},
"propConfig": {
"custom.mode": {
"binding": {
"config": {
"expression": "{..../Statistics.props.currentTabIndex} + {..../Period_not_Global_0/Period.props.value} + {..../Period_not_Global_0/EndTime.custom.Selected}+{..../Period_not_Global_0/StartTime.custom.Selected} + {this.custom.time} + {..../Lane Drop Down/Lane.props.value} + {..../Aggregation_Mode/Dropdown_Aggregation_mode.props.value}"
},
"type": "expr"
},
"onChange": {
"enabled": null,
"script": " db_tag_path \u003d \"[System]Gateway/Database/MariaDB/Available\"\n\t\n if(system.tag.readBlocking([db_tag_path])[0].value):\n\t\tpath \u003d \"\"\n\t\theaders \u003d []\n\t\tgraph \u003d []\n\t\t\n\t\tif self.parent.parent.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\tpath \u003d \"Statistics/Hourly Lane Count\"\n\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Total (#)\",\"Diverted (#)\",\"Dest Full (#)\",\"Dest Jam (#)\",\"Dest Disabled (#)\",\"Dest Fault (#)\",\"Divert Fail (#)\",\"Lost (#)\",\"Unsafe (#)\",\"Dim Err (#)\",\"Gap Err (#)\",\"Unknown (#)\"]\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[0].tooltip.text \u003d \"Diverted (#): [bold]{valueY}[/]\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[1].tooltip.text \u003d \"Dest Full (#): [bold]{valueY}[/]\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[2].tooltip.text \u003d \"Dest Jam (#): [bold]{valueY}[/]\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[3].tooltip.text \u003d \"Dest Disabled (#): [bold]{valueY}[/]\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[4].tooltip.text \u003d \"Dest Fault (#): [bold]{valueY}[/]\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[5].tooltip.text \u003d \"Divert Fail (#): [bold]{valueY}[/]\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[6].tooltip.text \u003d \"Lost (#): [bold]{valueY}[/]\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[7].tooltip.text \u003d \"Unsafe (#): [bold]{valueY}[/]\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[8].tooltip.text \u003d \"Dim Err (#): [bold]{valueY}[/]\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[9].tooltip.text \u003d \"Gap Err (#): [bold]{valueY}[/]\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[10].tooltip.text \u003d \"Unknown (#): [bold]{valueY}[/]\"\t\t\n\t\t\tself.getSibling(\"Hourly Lane\").props.yAxes[0].value.range.max \u003d \"\"\n\t\telif self.parent.parent.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\tpath \u003d \"Statistics/Hourly Lane Percent\"\n\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Total (%)\",\"Diverted (%)\",\"Dest Full (%)\",\"Dest Jam (%)\",\"Dest Disabled (%)\",\"Dest Fault (%)\",\"Divert Fail (%)\",\"Lost (%)\",\"Unsafe (%)\",\"Dim Err (%)\",\"Gap Err (%)\",\"Unknown (%)\"]\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[0].tooltip.text \u003d \"Diverted (%): [bold]{valueY}[/]%\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[1].tooltip.text \u003d \"Dest Full (%): [bold]{valueY}[/]%\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[2].tooltip.text \u003d \"Dest Jam (%): [bold]{valueY}[/]%\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[3].tooltip.text \u003d \"Dest Disabled (%): [bold]{valueY}[/]%\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[4].tooltip.text \u003d \"Dest Fault (%): [bold]{valueY}[/]%\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[5].tooltip.text \u003d \"Divert Fail (%): [bold]{valueY}[/]%\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[6].tooltip.text \u003d \"Lost (%): [bold]{valueY}[/]%\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[7].tooltip.text \u003d \"Unsafe (%): [bold]{valueY}[/]%\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[8].tooltip.text \u003d \"Dim Err (%): [bold]{valueY}[/]%\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[9].tooltip.text \u003d \"Gap Err (%): [bold]{valueY}[/]%\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[10].tooltip.text \u003d \"Unknown (%): [bold]{valueY}[/]%\"\t\t\n\t\t\tself.getSibling(\"Hourly Lane\").props.yAxes[0].value.range.max \u003d 100\n\t\telse:\n\t\t\tpath \u003d \"Statistics/Hourly Lane Rate\"\n\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Total (pph)\",\"Diverted (pph)\",\"Dest Full (pph)\",\"Dest Jam (pph)\",\"Dest Disabled (pph)\",\"Dest Fault (pph)\",\"Divert Fail (pph)\",\"Lost (pph)\",\"Unsafe (pph)\",\"Dim Err (pph)\",\"Gap Err (pph)\",\"Unknown (pph)\"]\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[0].tooltip.text \u003d \"Diverted (pph): [bold]{valueY}[/] pph\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[1].tooltip.text \u003d \"Dest Full (pph): [bold]{valueY}[/] pph\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[2].tooltip.text \u003d \"Dest Jam (pph): [bold]{valueY}[/] pph\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[3].tooltip.text \u003d \"Dest Disabled (pph): [bold]{valueY}[/] pph\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[4].tooltip.text \u003d \"Dest Fault (pph): [bold]{valueY}[/] pph\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[5].tooltip.text \u003d \"Divert Fail (pph): [bold]{valueY}[/] pph\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[6].tooltip.text \u003d \"Lost (pph): [bold]{valueY}[/] pph\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[7].tooltip.text \u003d \"Unsafe (pph): [bold]{valueY}[/] pph\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[8].tooltip.text \u003d \"Dim Err (pph): [bold]{valueY}[/] pph\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[9].tooltip.text \u003d \"Gap Err (pph): [bold]{valueY}[/] pph\"\n\t\t\tself.getSibling(\"Hourly Lane\").props.series[10].tooltip.text \u003d \"Unknown (pph): [bold]{valueY}[/] pph\"\t\n\t\t\tself.getSibling(\"Hourly Lane\").props.yAxes[0].value.range.max \u003d \"\"\n\t\t\t\n\t\tparams \u003d {\"starttime\":self.parent.parent.parent.getChild(\"Period_not_Global_0\").custom.StartDate,\"endtime\":self.parent.parent.parent.getChild(\"Period_not_Global_0\").custom.EndDate,\"lane\":self.parent.parent.parent.getChild(\"Lane Drop Down\").getChild(\"Lane\").props.value}\t\n\t\t\n\t\tdata \u003d system.dataset.toPyDataSet(system.db.runNamedQuery(path,params))\n\t\t\n\t\tfor row in data:\t\n\t\t\tdict \u003d {}\n\t\t\tdict[\u0027Hour\u0027] \u003d \trow[\u0027Hour\u0027]\n\t\t\tdict[\u0027Diverted\u0027] \u003d row[\u0027Diverted\u0027]\n\t\t\tdict[\u0027DestinationFull\u0027] \u003d row[\u0027DestinationFull\u0027]\n\t\t\tdict[\u0027DestinationJam\u0027] \u003d row[\u0027DestinationJam\u0027]\n\t\t\tdict[\u0027DestinationDisabled\u0027] \u003d row[\u0027DestinationDisabled\u0027]\n\t\t\tdict[\u0027DestinationFault\u0027] \u003d row[\u0027DestinationFault\u0027]\n\t\t\tdict[\u0027DivertFail\u0027] \u003d row[\u0027DivertFail\u0027]\n\t\t\tdict[\u0027Lost\u0027] \u003d row[\u0027Lost\u0027]\n\t\t\tdict[\u0027Unsafe\u0027] \u003d row[\u0027Unsafe\u0027]\n\t\t\tdict[\u0027DimError\u0027] \u003d row[\u0027DimError\u0027]\n\t\t\tdict[\u0027GapError\u0027] \u003d row[\u0027GapError\u0027]\n\t\t\tdict[\u0027Unknown\u0027] \u003d row[\u0027Unknown\u0027]\n\t\t\tgraph.append(dict)\n\t\t\n\t\tself.getSibling(\"Hourly Lane\").props.dataSources.example \u003d graph\n\t\tself.props.data \u003d system.dataset.toDataSet(headers,data)\n"
}
},
"custom.time": {
"binding": {
"config": {
"expression": "now(1000)"
},
"type": "expr"
}
}
},
"props": {
"columns": [
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY HH:mm:ss",
"editable": false,
"field": "",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"justify": "center",
"number": "value",
"numberFormat": "00:00:00",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "date",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"visible": false,
"width": ""
},
{
"align": "center",
"boolean": "value",
"dateFormat": "MM/DD/YYYY HH:mm:ss",
"editable": false,
"field": "endt",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Start Timestamp"
},
"justify": "center",
"number": "value",
"numberFormat": "none",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "date",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"visible": true,
"width": 150
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY HH:mm:ss",
"editable": false,
"field": "rownumber",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Hour"
},
"justify": "center",
"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"visible": true,
"width": 150
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "total_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Total (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
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}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
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},
"toggleSwitch": {
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}
},
"viewParams": {},
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"visible": true,
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "Diverted_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Diverted (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
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"style": {
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}
},
"max": 100,
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}
},
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"format": "0,0.##",
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}
}
},
"render": "auto",
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},
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}
},
"viewParams": {},
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"visible": true,
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "destfull_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Dest Full (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
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"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
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"style": {
"classes": ""
}
},
"value": {
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"format": "0,0.##",
"justify": "center",
"style": {
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}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
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"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
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"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"visible": true,
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "destjam_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
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"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "gaperr_count",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Gap Err (#)"
},
"justify": "center",
"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
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"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "lost_count",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Lost (#)"
},
"justify": "center",
"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "trackerr_count",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Track Err (#)"
},
"justify": "center",
"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "unknownn_count",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Unknown (#)"
},
"justify": "center",
"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "unsafe_count",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Unsafe (#)"
},
"justify": "center",
"number": "value",
"numberFormat": "0,0.##",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "inducted_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Inducted (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "sorted_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Sorted (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "destinv_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Dest Inv (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "destnone_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Dest None (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "destdis_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Dest Dis (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "destfull_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Dest Full (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "unexpected_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Unexpected (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "destfault_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Dest Fault (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "divfail_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Div Fail (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "gaperr_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Gap Err (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "lost_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Lost (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "trackerr_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Track Err (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "unknown_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Unknown (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
"classes": ""
}
}
},
"render": "auto",
"resizable": true,
"sort": "none",
"sortable": true,
"strictWidth": false,
"style": {
"classes": ""
},
"toggleSwitch": {
"color": {
"selected": "",
"unselected": ""
}
},
"viewParams": {},
"viewPath": "",
"width": ""
},
{
"align": "center",
"boolean": "checkbox",
"dateFormat": "MM/DD/YYYY",
"editable": false,
"field": "unsafe_perc",
"footer": {
"align": "center",
"justify": "left",
"style": {
"classes": ""
},
"title": ""
},
"header": {
"align": "center",
"justify": "center",
"style": {
"classes": ""
},
"title": "Unsafe (%)"
},
"justify": "center",
"number": "value",
"numberFormat": "0.##%",
"progressBar": {
"bar": {
"color": "",
"style": {
"classes": ""
}
},
"max": 100,
"min": 0,
"track": {
"color": "",
"style": {
"classes": ""
}
},
"value": {
"enabled": true,
"format": "0,0.##",
"justify": "center",
"style": {
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"config": {
"script": "\tdata \u003d []\n\ttable \u003d []\n\timport datetime\n\tcurrent_datetime\u003ddatetime.datetime.now()\n\tstr_date \u003d current_datetime.strftime(\"%m-%d-%Y %I-%M\")\n\n\n\tif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 0:\n\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Induct Details\").getChild(\"Induct Details\").props.filter.results.data\n\t\tif(len(results) \u003e 0):\n\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Induct\",\"Total (#)\",\"Single Carrier (#)\",\"Double Carrier (#)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027InductName\u0027],result[\u0027Total_count\u0027],result[\u0027singlecarrier_count\u0027],result[\u0027doublecarrier_count\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Induct\",\"Total (%)\",\"Single Carrier (%)\",\"Double Carrier (%)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027InductName\u0027],result[\u0027Total_perc\u0027],result[\u0027SingleCarrier_perc\u0027],result[\u0027DoubleCarrier_perc\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Induct\",\"Total (pph)\",\"Single Carrier (pph)\",\"Double Carrier (pph)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027InductName\u0027],result[\u0027Total_rate\u0027],result[\u0027SingleCarrier_rate\u0027],result[\u0027DoubleCarrier_rate\u0027]])\n\t\n\t\telse:\n\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Induct Details\").getChild(\"Induct Details\").props.data)\n\t\t\n\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Induct\",\"Total (#)\",\"Single Carrier (#)\",\"Double Carrier (#)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027InductName\u0027],result[\u0027Total_count\u0027],result[\u0027singlecarrier_count\u0027],result[\u0027doublecarrier_count\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Induct\",\"Total (%)\",\"Single Carrier (%)\",\"Double Carrier (%)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027InductName\u0027],result[\u0027Total_perc\u0027],result[\u0027SingleCarrier_perc\u0027],result[\u0027DoubleCarrier_perc\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Induct\",\"Total (pph)\",\"Single Carrier (pph)\",\"Double Carrier (pph)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027InductName\u0027],result[\u0027Total_rate\u0027],result[\u0027SingleCarrier_rate\u0027],result[\u0027DoubleCarrier_rate\u0027]])\n\t\t\n\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Induct Details.csv\u0027, data \u003d csv)\t\n\n\t\n\telif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 1:\n\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Scanner_Details\").getChild(\"Scanner Details\").props.filter.results.data\n\t\tif(len(results) \u003e 0):\n\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Scanner\",\"Total (#)\",\"Good Read (#)\",\"No Read (#)\",\"Multi Read (#)\",\"No Code (#)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027ScannerName\u0027],result[\u0027Total_count\u0027],result[\u0027GoodRead_count\u0027],result[\u0027NoRead_count\u0027],result[\u0027MultiLabelRead_count\u0027],result[\u0027NoCode_count\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Scanner\",\"Total (%)\",\"Good Read (%)\",\"No Read (%)\",\"Multi Read (%)\",\"No Code (%)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027ScannerName\u0027],result[\u0027Total_perc\u0027],result[\u0027GoodRead_perc\u0027],result[\u0027NoRead_perc\u0027],result[\u0027MultiLabelRead_perc\u0027],result[\u0027NoCode_perc\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Scanner\",\"Total (pph)\",\"Good Read (pph)\",\"No Read (pph)\",\"Multi Read (pph)\",\"No Code (pph)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027ScannerName\u0027],result[\u0027Total_rate\u0027],result[\u0027GoodRead_rate\u0027],result[\u0027NoRead_rate\u0027],result[\u0027MultiLabelRead_rate\u0027],result[\u0027NoCode_rate\u0027]])\n\t\n\t\telse:\n\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Scanner_Details\").getChild(\"Scanner Details\").props.data)\n\t\t\n\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Scanner\",\"Total (#)\",\"Good Read (#)\",\"No Read (#)\",\"Multi Read (#)\",\"No Code (#)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027ScannerName\u0027],result[\u0027Total_count\u0027],result[\u0027GoodRead_count\u0027],result[\u0027NoRead_count\u0027],result[\u0027MultiLabelRead_count\u0027],result[\u0027NoCode_count\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Scanner\",\"Total (%)\",\"Good Read (%)\",\"No Read (%)\",\"Multi Read (%)\",\"No Code (%)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027ScannerName\u0027],result[\u0027Total_perc\u0027],result[\u0027GoodRead_perc\u0027],result[\u0027NoRead_perc\u0027],result[\u0027MultiLabelRead_perc\u0027],result[\u0027NoCode_perc\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Scanner\",\"Total (pph)\",\"Good Read (pph)\",\"No Read (pph)\",\"Multi Read (pph)\",\"No Code (pph)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027ScannerName\u0027],result[\u0027Total_rate\u0027],result[\u0027GoodRead_rate\u0027],result[\u0027NoRead_rate\u0027],result[\u0027MultiLabelRead_rate\u0027],result[\u0027NoCode_rate\u0027]])\n\t\t\t\n\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Scanner Details.csv\u0027, data \u003d csv)\n\t\n\t\n\telif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 2:\n\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Sorter Summary\").getChild(\"Sorter Summary\").props.filter.results.data\n\t\tif(len(results) \u003e 0):\n\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Inducted (#)\",\"Sorted (#)\",\"Awcs Recirc (#)\",\"Operational Recirc (#)\",\"Machine Recirc (#)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027Induct_count\u0027],result[\u0027Sorted_count\u0027],result[\u0027AWCSRecirc_count\u0027],result[\u0027OperRecirc_count\u0027],result[\u0027MachineRecirc_count\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Inducted (%)\",\"Sorted (%)\",\"Awcs Recirc (%)\",\"Operational Recirc (%)\",\"Machine Recirc (%)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027Induct_perc\u0027],result[\u0027Sorted_perc\u0027],result[\u0027AWCSRecirc_perc\u0027],result[\u0027OperRecirc_perc\u0027],result[\u0027MachineRecirc_perc\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Inducted (pph)\",\"Sorted (pph)\",\"Awcs Recirc (pph)\",\"Operational Recirc (pph)\",\"Machine Recirc (pph)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027Induct_rate\u0027],result[\u0027Sorted_rate\u0027],result[\u0027AWCSRecirc_rate\u0027],result[\u0027OperRecirc_rate\u0027],result[\u0027MachineRecirc_rate\u0027]])\n\t\n\t\telse:\n\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Sorter Summary\").getChild(\"Sorter Summary\").props.data)\n\t\t\n\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Inducted (#)\",\"Sorted (#)\",\"Awcs Recirc (#)\",\"Operational Recirc (#)\",\"Machine Recirc (#)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027Induct_count\u0027],result[\u0027Sorted_count\u0027],result[\u0027AWCSRecirc_count\u0027],result[\u0027OperRecirc_count\u0027],result[\u0027MachineRecirc_count\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Inducted (%)\",\"Sorted (%)\",\"Awcs Recirc (%)\",\"Operational Recirc (%)\",\"Machine Recirc (%)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027Induct_perc\u0027],result[\u0027Sorted_perc\u0027],result[\u0027AWCSRecirc_perc\u0027],result[\u0027OperRecirc_perc\u0027],result[\u0027MachineRecirc_perc\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Inducted (pph)\",\"Sorted (pph)\",\"Awcs Recirc (pph)\",\"Operational Recirc (pph)\",\"Machine Recirc (pph)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027Induct_rate\u0027],result[\u0027Sorted_rate\u0027],result[\u0027AWCSRecirc_rate\u0027],result[\u0027OperRecirc_rate\u0027],result[\u0027MachineRecirc_rate\u0027]])\n\t\t\t\n\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Sorter Summary.csv\u0027, data \u003d csv)\n\n\t\n\telif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 3:\n\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Sorter Details\").getChild(\"Sorter Details\").props.filter.results.data\n\t\tif(len(results) \u003e 0):\n\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Inducted (#)\",\"Sorted (#)\",\"Assigned (#)\",\"Dest Inv (#)\",\"Dest None (#)\",\"Dest Dis (#)\",\"Dest Full (#)\",\"Unexpected (#)\",\"Dest Fault (#)\",\"Div Fail (#)\",\"Gap Err (#)\",\"Lost (#)\",\"Track Err (#)\",\"Unknown (#)\",\"Unsafe (#)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027inducted_count\u0027],result[\u0027sorted_count\u0027],result[\u0027assigned_count\u0027],result[\u0027destinv_count\u0027],result[\u0027destnone_count\u0027],result[\u0027destdis_count\u0027],result[\u0027destfull_count\u0027],result[\u0027unexpected_count\u0027],result[\u0027destfault_count\u0027],result[\u0027divfail_count\u0027],result[\u0027gaperr_count\u0027],result[\u0027lost_count\u0027],result[\u0027trackerr_count\u0027],result[\u0027unknownn_count\u0027],result[\u0027unsafe_count\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Inducted (%)\",\"Sorted (%)\",\"Assigned (%)\",\"Dest Inv (%)\",\"Dest None (%)\",\"Dest Dis (%)\",\"Dest Full (%)\",\"Unexpected (%)\",\"Dest Fault (%)\",\"Div Fail (%)\",\"Gap Err (%)\",\"Lost (%)\",\"Track Err (%)\",\"Unknown (%)\",\"Unsafe (%)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027inducted_perc\u0027],result[\u0027sorted_perc\u0027],result[\u0027assigned_perc\u0027],result[\u0027destinv_perc\u0027],result[\u0027destnone_perc\u0027],result[\u0027destdis_perc\u0027],result[\u0027destfull_perc\u0027],result[\u0027unexpected_perc\u0027],result[\u0027destfault_perc\u0027],result[\u0027divfail_perc\u0027],result[\u0027gaperr_perc\u0027],result[\u0027lost_perc\u0027],result[\u0027trackerr_perc\u0027],result[\u0027unknown_perc\u0027],result[\u0027unsafe_perc\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Inducted (pph)\",\"Sorted (pph)\",\"Assigned (pph)\",\"Dest Inv (pph)\",\"Dest None (pph)\",\"Dest Dis (pph)\",\"Dest Full (pph)\",\"Unexpected (pph)\",\"Dest Fault (pph)\",\"Div Fail (pph)\",\"Gap Err (pph)\",\"Lost (pph)\",\"Track Err (pph)\",\"Unknown (pph)\",\"Unsafe (pph)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027inducted_rate\u0027],result[\u0027sorted_rate\u0027],result[\u0027assigned_rate\u0027],result[\u0027destinv_rate\u0027],result[\u0027destnone_rate\u0027],result[\u0027destdis_rate\u0027],result[\u0027destfull_rate\u0027],result[\u0027unexpected_rate\u0027],result[\u0027destfault_rate\u0027],result[\u0027divfail_rate\u0027],result[\u0027gaperr_rate\u0027],result[\u0027lost_rate\u0027],result[\u0027trackerr_rate\u0027],result[\u0027unknown_rate\u0027],result[\u0027unsafe_rate\u0027]])\n\t\t\n\t\telse:\n\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Sorter Details\").getChild(\"Sorter Details\").props.data)\n\t\t\n\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Inducted (#)\",\"Sorted (#)\",\"Assigned (#)\",\"Dest Inv (#)\",\"Dest None (#)\",\"Dest Dis (#)\",\"Dest Full (#)\",\"Unexpected (#)\",\"Dest Fault (#)\",\"Div Fail (#)\",\"Gap Err (#)\",\"Lost (#)\",\"Track Err (#)\",\"Unknown (#)\",\"Unsafe (#)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027inducted_count\u0027],result[\u0027sorted_count\u0027],result[\u0027sorted_count\u0027],result[\u0027destinv_count\u0027],result[\u0027destnone_count\u0027],result[\u0027destdis_count\u0027],result[\u0027destfull_count\u0027],result[\u0027unexpected_count\u0027],result[\u0027destfault_count\u0027],result[\u0027divfail_count\u0027],result[\u0027gaperr_count\u0027],result[\u0027lost_count\u0027],result[\u0027trackerr_count\u0027],result[\u0027unknownn_count\u0027],result[\u0027unsafe_count\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Inducted (%)\",\"Sorted (%)\",\"Assigned (%)\",\"Dest Inv (%)\",\"Dest None (%)\",\"Dest Dis (%)\",\"Dest Full (%)\",\"Unexpected (%)\",\"Dest Fault (%)\",\"Div Fail (%)\",\"Gap Err (%)\",\"Lost (%)\",\"Track Err (%)\",\"Unknown (%)\",\"Unsafe (%)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027inducted_perc\u0027],result[\u0027sorted_perc\u0027],result[\u0027assigned_perc\u0027],result[\u0027destinv_perc\u0027],result[\u0027destnone_perc\u0027],result[\u0027destdis_perc\u0027],result[\u0027destfull_perc\u0027],result[\u0027unexpected_perc\u0027],result[\u0027destfault_perc\u0027],result[\u0027divfail_perc\u0027],result[\u0027gaperr_perc\u0027],result[\u0027lost_perc\u0027],result[\u0027trackerr_perc\u0027],result[\u0027unknown_perc\u0027],result[\u0027unsafe_perc\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Inducted (pph)\",\"Sorted (pph)\",\"Assigned (pph)\",\"Dest Inv (pph)\",\"Dest None (pph)\",\"Dest Dis (pph)\",\"Dest Full (pph)\",\"Unexpected (pph)\",\"Dest Fault (pph)\",\"Div Fail (pph)\",\"Gap Err (pph)\",\"Lost (pph)\",\"Track Err (pph)\",\"Unknown (pph)\",\"Unsafe (pph)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027inducted_rate\u0027],result[\u0027sorted_rate\u0027],result[\u0027assigned_rate\u0027],result[\u0027destinv_rate\u0027],result[\u0027destnone_rate\u0027],result[\u0027destdis_rate\u0027],result[\u0027destfull_rate\u0027],result[\u0027unexpected_rate\u0027],result[\u0027destfault_rate\u0027],result[\u0027divfail_rate\u0027],result[\u0027gaperr_rate\u0027],result[\u0027lost_rate\u0027],result[\u0027trackerr_rate\u0027],result[\u0027unknown_rate\u0027],result[\u0027unsafe_rate\u0027]])\n\t\t\t\n\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Sorter Details.csv\u0027, data \u003d csv)\n\t\t\n\t\n\telif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 4:\n\t\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Lane Details\").getChild(\"Lane Details\").props.filter.results.data\n\t\t\tif(len(results) \u003e 0):\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Lane\",\"Total (#)\",\"Diverted (#)\",\"Dest Full (#)\",\"Dest Jam (#)\",\"Dest Disabled (#)\",\"Dest Fault (#)\",\"Divert Fail (#)\",\"Lost (#)\",\"Unsafe (#)\",\"Dim Error (#)\",\"Gap Error (#)\",\"Unknown (#)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027Lane\u0027],result[\u0027Total_count\u0027],result[\u0027Diverted_count\u0027],result[\u0027Destfull_count\u0027],result[\u0027DestJam_count\u0027],result[\u0027DestDis_count\u0027],result[\u0027DestFault_count\u0027],result[\u0027DivertFail_count\u0027],result[\u0027Lost_count\u0027],result[\u0027Unsafe_count\u0027],result[\u0027Dim_count\u0027],result[\u0027GapErr_count\u0027],result[\u0027Unknown_count\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Lane\",\"Total (%)\",\"Diverted (%)\",\"Dest Full (%)\",\"Dest Jam (%)\",\"Dest Disabled (%)\",\"Dest Fault (%)\",\"Divert Fail (%)\",\"Lost (%)\",\"Unsafe (%)\",\"Dim Error (%)\",\"Gap Error (%)\",\"Unknown (%)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027Lane\u0027],result[\u0027total_perc\u0027],result[\u0027Diverted_perc\u0027],result[\u0027destfull_perc\u0027],result[\u0027destjam_perc\u0027],result[\u0027destdisabled_perc\u0027],result[\u0027destfault_perc\u0027],result[\u0027DivertFail_perc\u0027],result[\u0027lost_perc\u0027],result[\u0027unsafe_perc\u0027],result[\u0027dim_perc\u0027],result[\u0027gaperr_perc\u0027],result[\u0027unknown_perc\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Lane\",\"Total (pph)\",\"Diverted (pph)\",\"Dest Full (pph)\",\"Dest Jam (pph)\",\"Dest Disabled (pph)\",\"Dest Fault (pph)\",\"Divert Fail (pph)\",\"Lost (pph)\",\"Unsafe (pph)\",\"Dim Error (pph)\",\"Gap Error (pph)\",\"Unknown (pph)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027Lane\u0027],result[\u0027total_rate\u0027],result[\u0027Diverted_rate\u0027],result[\u0027destfull_rate\u0027],result[\u0027destjam_rate\u0027],result[\u0027destdisabled_rate\u0027],result[\u0027destfault_rate\u0027],result[\u0027DivertFail_rate\u0027],result[\u0027lost_rate\u0027],result[\u0027unsafe_rate\u0027],result[\u0027dim_rate\u0027],result[\u0027gaperr_rate\u0027],result[\u0027unknown_rate\u0027]])\n\t\t\t\n\t\t\telse:\n\t\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Lane Details\").getChild(\"Lane Details\").props.data)\n\t\t\t\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Lane\",\"Total (#)\",\"Diverted (#)\",\"Dest Full (#)\",\"Dest Jam (#)\",\"Dest Disabled (#)\",\"Dest Fault (#)\",\"Divert Fail (#)\",\"Lost (#)\",\"Unsafe (#)\",\"Dim Error (#)\",\"Gap Error (#)\",\"Unknown (#)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027Lane\u0027],result[\u0027Total_count\u0027],result[\u0027Diverted_count\u0027],result[\u0027Destfull_count\u0027],result[\u0027DestJam_count\u0027],result[\u0027DestDis_count\u0027],result[\u0027DestFault_count\u0027],result[\u0027DivertFail_count\u0027],result[\u0027Lost_count\u0027],result[\u0027Unsafe_count\u0027],result[\u0027Dim_count\u0027],result[\u0027GapErr_count\u0027],result[\u0027Unknown_count\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Lane\",\"Total (%)\",\"Diverted (%)\",\"Dest Full (%)\",\"Dest Jam (%)\",\"Dest Disabled (%)\",\"Dest Fault (%)\",\"Divert Fail (%)\",\"Lost (%)\",\"Unsafe (%)\",\"Dim Error (%)\",\"Gap Error (%)\",\"Unknown (%)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027Lane\u0027],result[\u0027total_perc\u0027],result[\u0027Diverted_perc\u0027],result[\u0027destfull_perc\u0027],result[\u0027destjam_perc\u0027],result[\u0027destdisabled_perc\u0027],result[\u0027destfault_perc\u0027],result[\u0027DivertFail_perc\u0027],result[\u0027lost_perc\u0027],result[\u0027unsafe_perc\u0027],result[\u0027dim_perc\u0027],result[\u0027gaperr_perc\u0027],result[\u0027unknown_perc\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"End Timestamp\", \"Sorter\",\"Lane\",\"Total (pph)\",\"Diverted (pph)\",\"Dest Full (pph)\",\"Dest Jam (pph)\",\"Dest Disabled (pph)\",\"Dest Fault (pph)\",\"Divert Fail (pph)\",\"Lost (pph)\",\"Unsafe (pph)\",\"Dim Error (pph)\",\"Gap Error (pph)\",\"Unknown (pph)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027SorterName\u0027],result[\u0027Lane\u0027],result[\u0027total_rate\u0027],result[\u0027Diverted_rate\u0027],result[\u0027destfull_rate\u0027],result[\u0027destjam_rate\u0027],result[\u0027destdisabled_rate\u0027],result[\u0027destfault_rate\u0027],result[\u0027DivertFail_rate\u0027],result[\u0027lost_rate\u0027],result[\u0027unsafe_rate\u0027],result[\u0027dim_rate\u0027],result[\u0027gaperr_rate\u0027],result[\u0027unknown_rate\u0027]])\n\t\t\t\t\n\t\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Lane Details.csv\u0027, data \u003d csv)\n\n\t\n\telif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 5:\n\t\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Hourly_Induct\").getChild(\"Hourly_Induct\").props.filter.results.data\n\t\t\tif(len(results) \u003e 0):\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\", \"Total (#)\",\"Single Carrier (#)\",\"Double Carrier (#)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (#)\u0027],result[\u0027Single Carrier (#)\u0027],result[\u0027Double Carrier (#)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Total (%)\",\"Single Carrier (%)\",\"Double Carrier (%)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (%\u0027],result[\u0027Single Carrier (%)\u0027],result[\u0027Double Carrier (%)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\", \"Total (pph)\",\"Single Carrier (pph)\",\"Double Carrier (pph)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (pph)\u0027],result[\u0027Single Carrier (pph)\u0027],result[\u0027Double Carrier (pph)\u0027]])\n\t\t\t\n\t\t\telse:\n\t\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Hourly_Induct\").getChild(\"Hourly_Induct\").props.data)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\", \"Total (#)\",\"Single Carrier (#)\",\"Double Carrier (#)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (#)\u0027],result[\u0027Single Carrier (#)\u0027],result[\u0027Double Carrier (#)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Total (%)\",\"Single Carrier (%)\",\"Double Carrier (%)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (%)\u0027],result[\u0027Single Carrier (%)\u0027],result[\u0027Double Carrier (%)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\", \"Total (pph)\",\"Single Carrier (pph)\",\"Double Carrier (pph)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (pph)\u0027],result[\u0027Single Carrier (pph)\u0027],result[\u0027Double Carrier (pph)\u0027]])\n\t\t\t\n\t\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Hourly Induct.csv\u0027, data \u003d csv)\n\t\n\t\n\telif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 6:\n\t\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Hourly_Scanner\").getChild(\"Hourly_Scanner\").props.filter.results.data\n\t\t\tif(len(results) \u003e 0):\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\", \"Total (#)\",\"Good Read (#)\",\"No Read (#)\",\"Multi Read (#)\",\"No code (#)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (#)\u0027],result[\u0027Good Read (#)\u0027],result[\u0027No Read (#)\u0027],result[\u0027Multi Read (#)\u0027],result[\u0027No code (#)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\", \"Total (%)\",\"Good Read (%)\",\"No Read (%)\",\"Multi Read (%)\",\"No Code (%)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (%)\u0027],result[\u0027Good Read (%)\u0027],result[\u0027No Read (%)\u0027],result[\u0027Multi Read (%)\u0027],result[\u0027No Code (%)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Total (pph)\",\"Good Read (pph)\",\"No Read (pph)\",\"Multi Read (pph)\",\"No Code (pph)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (pph)\u0027],result[\u0027Good Read (pph)\u0027],result[\u0027No Read (pph)\u0027],result[\u0027Multi Read (pph)\u0027],result[\u0027No Code (pph)\u0027]])\n\t\t\t\n\t\t\telse:\n\t\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Hourly_Scanner\").getChild(\"Hourly_Scanner\").props.data)\n\t\t\t\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\", \"Total (#)\",\"Good Read (#)\",\"No Read (#)\",\"Multi Read (#)\",\"No code (#)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (#)\u0027],result[\u0027Good Read (#)\u0027],result[\u0027No Read (#)\u0027],result[\u0027Multi Read (#)\u0027],result[\u0027No code (#)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\", \"Total (%)\",\"Good Read (%)\",\"No Read (%)\",\"Multi Read (%)\",\"No Code (%)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (%)\u0027],result[\u0027Good Read (%)\u0027],result[\u0027No Read (%)\u0027],result[\u0027Multi Read (%)\u0027],result[\u0027No Code (%)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Total (pph)\",\"Good Read (pph)\",\"No Read (pph)\",\"Multi Read (pph)\",\"No Code (pph)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (pph)\u0027],result[\u0027Good Read (pph)\u0027],result[\u0027No Read (pph)\u0027],result[\u0027Multi Read (pph)\u0027],result[\u0027No Code (pph)\u0027]])\n\t\t\t\t\n\t\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Hourly Scanner.csv\u0027, data \u003d csv)\n\t\t\t\n\t\t\t\n\telif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 7:\n\t\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Hourly_Sorter_Summary\").getChild(\"Hourly_Sorter_Summary\").props.filter.results.data\n\t\t\tif(len(results) \u003e 0):\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Inducted (#)\",\"Sorted (#)\",\"Awcs Recirc (#)\",\"Operational Recirc (#)\",\"Machine Recirc (#)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Inducted (#)\u0027],result[\u0027Sorted (#)\u0027],result[\u0027Awcs Recirc (#)\u0027],result[\u0027Operational Recirc (#)\u0027],result[\u0027Machine Recirc (#)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Inducted (%)\",\"Sorted (%)\",\"Awcs Recirc (%)\",\"Operational Recirc (%)\",\"Machine Recirc (%)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Inducted (%)\u0027],result[\u0027Sorted (%)\u0027],result[\u0027Awcs Recirc (%)\u0027],result[\u0027Operational Recirc (%)\u0027],result[\u0027Machine Recirc (%)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Inducted (pph)\",\"Sorted (pph)\",\"Awcs Recirc (pph)\",\"Operational Recirc (pph)\",\"Machine Recirc (pph)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Inducted (pph)\u0027],result[\u0027Sorted (pph)\u0027],result[\u0027Awcs Recirc (pph)\u0027],result[\u0027Operational Recirc (pph)\u0027],result[\u0027Machine Recirc (pph)\u0027]])\n\t\t\n\t\t\telse:\n\t\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Hourly_Sorter_Summary\").getChild(\"Hourly_Sorter_Summary\").props.data)\n\t\t\t\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Inducted (#)\",\"Sorted (#)\",\"Awcs Recirc (#)\",\"Operational Recirc (#)\",\"Machine Recirc (#)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Inducted (#)\u0027],result[\u0027Sorted (#)\u0027],result[\u0027Awcs Recirc (#)\u0027],result[\u0027Operational Recirc (#)\u0027],result[\u0027Machine Recirc (#)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Inducted (%)\",\"Sorted (%)\",\"Awcs Recirc (%)\",\"Operational Recirc (%)\",\"Machine Recirc (%)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Inducted (%)\u0027],result[\u0027Sorted (%)\u0027],result[\u0027Awcs Recirc (%)\u0027],result[\u0027Operational Recirc (%)\u0027],result[\u0027Machine Recirc (%)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Inducted (pph)\",\"Sorted (pph)\",\"Awcs Recirc (pph)\",\"Operational Recirc (pph)\",\"Machine Recirc (pph)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Inducted (pph)\u0027],result[\u0027Sorted (pph)\u0027],result[\u0027Awcs Recirc (pph)\u0027],result[\u0027Operational Recirc (pph)\u0027],result[\u0027Machine Recirc (pph)\u0027]])\n\t\t\t\t\n\t\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Hourly Sorter Summary.csv\u0027, data \u003d csv)\n\t\n\t\t\n\telif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 8:\n\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Hourly_Sorter_Details\").getChild(\"Hourly_Sorter_Details\").props.filter.results.data\n\t\tif(len(results) \u003e 0):\n\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Inducted (#)\",\"Sorted (#)\",\"Dest Inv (#)\",\"Dest None (#)\",\"Dest Dis (#)\",\"Dest Full (#)\",\"Unexpected (#)\",\"Dest Fault (#)\",\"Div Fail (#)\",\"Gap Err (#)\",\"Lost (#)\",\"Track Err (#)\",\"Unknown (#)\",\"Unsafe (#)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Inducted (#)\u0027],result[\u0027Sorted (#)\u0027],result[\u0027Dest Inv (#)\u0027],result[\u0027Dest None (#)\u0027],result[\u0027Dest Dis (#)\u0027],result[\u0027Dest Full (#)\u0027],result[\u0027Unexpected (#)\u0027],result[\u0027Dest Fault (#)\u0027],result[\u0027Div Fail (#)\u0027],result[\u0027Gap Err (#)\u0027],result[\u0027Lost (#)\u0027],result[\u0027Track Err (#)\u0027],result[\u0027Unknown (#)\u0027],result[\u0027Unsafe (#)\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Inducted (%)\",\"Sorted (%)\",\"Dest Inv (%)\",\"Dest None (%)\",\"Dest Dis (%)\",\"Dest Full (%)\",\"Unexpected (%)\",\"Dest Fault (%)\",\"Div Fail (%)\",\"Gap Err (%)\",\"Lost (%)\",\"Track Err (%)\",\"Unknown (%)\",\"Unsafe (%)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Inducted (%)\u0027],result[\u0027Sorted (%)\u0027],result[\u0027Dest Inv (%)\u0027],result[\u0027Dest None (%)\u0027],result[\u0027Dest Dis (%)\u0027],result[\u0027Dest Full (%)\u0027],result[\u0027Unexpected (%)\u0027],result[\u0027Dest Fault (%)\u0027],result[\u0027Div Fail (%)\u0027],result[\u0027Gap Err (%)\u0027],result[\u0027Lost (%)\u0027],result[\u0027Track Err (%)\u0027],result[\u0027Unknown (%)\u0027],result[\u0027Unsafe (%)\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Inducted (pph)\",\"Sorted (pph)\",\"Dest Inv (pph)\",\"Dest None (pph)\",\"Dest Dis (pph)\",\"Dest Full (pph)\",\"Unexpected (pph)\",\"Dest Fault (pph)\",\"Div Fail (pph)\",\"Gap Err (pph)\",\"Lost (pph)\",\"Track Err (pph)\",\"Unknown (pph)\",\"Unsafe (pph)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Inducted (pph)\u0027],result[\u0027Sorted (pph)\u0027],result[\u0027Dest Inv (pph)\u0027],result[\u0027Dest None (pph)\u0027],result[\u0027Dest Dis (pph)\u0027],result[\u0027Dest Full (pph)\u0027],result[\u0027Unexpected (pph)\u0027],result[\u0027Dest Fault (pph)\u0027],result[\u0027Div Fail (pph)\u0027],result[\u0027Gap Err (pph)\u0027],result[\u0027Lost (pph)\u0027],result[\u0027Track Err (pph)\u0027],result[\u0027Unknown (pph)\u0027],result[\u0027Unsafe (pph)\u0027]])\n\t\t\n\t\telse:\n\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Hourly_Sorter_Details\").getChild(\"Hourly_Sorter_Details\").props.data)\n\t\t\n\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Inducted (#)\",\"Sorted (#)\",\"Dest Inv (#)\",\"Dest None (#)\",\"Dest Dis (#)\",\"Dest Full (#)\",\"Unexpected (#)\",\"Dest Fault (#)\",\"Div Fail (#)\",\"Gap Err (#)\",\"Lost (#)\",\"Track Err (#)\",\"Unknown (#)\",\"Unsafe (#)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Inducted (#)\u0027],result[\u0027Sorted (#)\u0027],result[\u0027Dest Inv (#)\u0027],result[\u0027Dest None (#)\u0027],result[\u0027Dest Dis (#)\u0027],result[\u0027Dest Full (#)\u0027],result[\u0027Unexpected (#)\u0027],result[\u0027Dest Fault (#)\u0027],result[\u0027Div Fail (#)\u0027],result[\u0027Gap Err (#)\u0027],result[\u0027Lost (#)\u0027],result[\u0027Track Err (#)\u0027],result[\u0027Unknown (#)\u0027],result[\u0027Unsafe (#)\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Inducted (%)\",\"Sorted (%)\",\"Dest Inv (%)\",\"Dest None (%)\",\"Dest Dis (%)\",\"Dest Full (%)\",\"Unexpected (%)\",\"Dest Fault (%)\",\"Div Fail (%)\",\"Gap Err (%)\",\"Lost (%)\",\"Track Err (%)\",\"Unknown (%)\",\"Unsafe (%)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Inducted (%)\u0027],result[\u0027Sorted (%)\u0027],result[\u0027Dest Inv (%)\u0027],result[\u0027Dest None (%)\u0027],result[\u0027Dest Dis (%)\u0027],result[\u0027Dest Full (%)\u0027],result[\u0027Unexpected (%)\u0027],result[\u0027Dest Fault (%)\u0027],result[\u0027Div Fail (%)\u0027],result[\u0027Gap Err (%)\u0027],result[\u0027Lost (%)\u0027],result[\u0027Track Err (%)\u0027],result[\u0027Unknown (%)\u0027],result[\u0027Unsafe (%)\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Inducted (pph)\",\"Sorted (pph)\",\"Dest Inv (pph)\",\"Dest None (pph)\",\"Dest Dis (pph)\",\"Dest Full (pph)\",\"Unexpected (pph)\",\"Dest Fault (pph)\",\"Div Fail (pph)\",\"Gap Err (pph)\",\"Lost (pph)\",\"Track Err (pph)\",\"Unknown (pph)\",\"Unsafe (pph)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Inducted (pph)\u0027],result[\u0027Sorted (pph)\u0027],result[\u0027Dest Inv (pph)\u0027],result[\u0027Dest None (pph)\u0027],result[\u0027Dest Dis (pph)\u0027],result[\u0027Dest Full (pph)\u0027],result[\u0027Unexpected (pph)\u0027],result[\u0027Dest Fault (pph)\u0027],result[\u0027Div Fail (pph)\u0027],result[\u0027Gap Err (pph)\u0027],result[\u0027Lost (pph)\u0027],result[\u0027Track Err (pph)\u0027],result[\u0027Unknown (pph)\u0027],result[\u0027Unsafe (pph)\u0027]])\n\t\t\t\n\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Hourly Sorter Details.csv\u0027, data \u003d csv)\n\t\t\n\t\n\telif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 9:\n\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Hourly_Lane\").getChild(\"Hourly_Lane\").props.filter.results.data\n\t\tif(len(results) \u003e 0):\n\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Total (#)\",\"Diverted (#)\",\"Dest Full (#)\",\"Dest Jam (#)\",\"Dest Disabled (#)\",\"Dest Fault (#)\",\"Divert Fail (#)\",\"Lost (#)\",\"Unsafe (#)\",\"Dim Error (#)\",\"Gap Error (#)\",\"Unknown (#)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027endt\u0027],result[\u0027rownumber\u0027],result[\u0027Total_count\u0027],result[\u0027Diverted_count\u0027],result[\u0027Destfull_count\u0027],result[\u0027DestJam_count\u0027],result[\u0027DestDis_count\u0027],result[\u0027DestFault_count\u0027],result[\u0027DivertFail_count\u0027],result[\u0027Lost_count\u0027],result[\u0027Unsafe_count\u0027],result[\u0027Dim_count\u0027],result[\u0027GapErr_count\u0027],result[\u0027Unknown_count\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Total (%)\",\"Diverted (%)\",\"Dest Full (%)\",\"Dest Jam (%)\",\"Dest Disabled (%)\",\"Dest Fault (%)\",\"Divert Fail (%)\",\"Lost (%)\",\"Unsafe (%)\",\"Dim Error (%)\",\"Gap Error (%)\",\"Unknown (%)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027endt\u0027],result[\u0027rownumber\u0027],result[\u0027total_perc\u0027],result[\u0027Diverted_perc\u0027],result[\u0027destfull_perc\u0027],result[\u0027destjam_perc\u0027],result[\u0027destdisabled_perc\u0027],result[\u0027destfault_perc\u0027],result[\u0027DivertFail_perc\u0027],result[\u0027lost_perc\u0027],result[\u0027unsafe_perc\u0027],result[\u0027dim_perc\u0027],result[\u0027gaperr_perc\u0027],result[\u0027unknown_perc\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Total (pph)\",\"Diverted (pph)\",\"Dest Full (pph)\",\"Dest Jam (pph)\",\"Dest Disabled (pph)\",\"Dest Fault (pph)\",\"Divert Fail (pph)\",\"Lost (pph)\",\"Unsafe (pph)\",\"Dim Error (pph)\",\"Gap Error (pph)\",\"Unknown (pph)\"]\n\t\t\t\tfor result in results:\n\t\t\t\t\tdata.append([result[\u0027endt\u0027],result[\u0027rownumber\u0027],result[\u0027total_rate\u0027],result[\u0027Diverted_rate\u0027],result[\u0027destfull_rate\u0027],result[\u0027destjam_rate\u0027],result[\u0027destdisabled_rate\u0027],result[\u0027destfault_rate\u0027],result[\u0027DivertFail_rate\u0027],result[\u0027lost_rate\u0027],result[\u0027unsafe_rate\u0027],result[\u0027dim_rate\u0027],result[\u0027gaperr_rate\u0027],result[\u0027unknown_rate\u0027]])\n\t\t\t\n\t\telse:\n\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Hourly_Lane\").getChild(\"Hourly_Lane\").props.data)\n\t\t\t\n\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Total (#)\",\"Diverted (#)\",\"Dest Full (#)\",\"Dest Jam (#)\",\"Dest Disabled (#)\",\"Dest Fault (#)\",\"Divert Fail (#)\",\"Lost (#)\",\"Unsafe (#)\",\"Dim Err (#)\",\"Gap Error (#)\",\"Unknown (#)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (#)\u0027],result[\u0027Diverted (#)\u0027],result[\u0027Dest Full (#)\u0027],result[\u0027Dest Jam (#)\u0027],result[\u0027Dest Disabled (#)\u0027],result[\u0027Dest Fault (#)\u0027],result[\u0027Divert Fail (#)\u0027],result[\u0027Lost (#)\u0027],result[\u0027Unsafe (#)\u0027],result[\u0027Dim Err (#)\u0027],result[\u0027Gap Err (#)\u0027],result[\u0027Unknown (#)\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Total (%)\",\"Diverted (%)\",\"Dest Full (%)\",\"Dest Jam (%)\",\"Dest Disabled (%)\",\"Dest Fault (%)\",\"Divert Fail (%)\",\"Lost (%)\",\"Unsafe (%)\",\"Dim Err (%)\",\"Gap Error (%)\",\"Unknown (%)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (%)\u0027],result[\u0027Diverted (%)\u0027],result[\u0027Dest Full (%)\u0027],result[\u0027Dest Jam (%)\u0027],result[\u0027Dest Disabled (%)\u0027],result[\u0027Dest Fault (%)\u0027],result[\u0027Divert Fail (%)\u0027],result[\u0027Lost (%)\u0027],result[\u0027Unsafe (%)\u0027],result[\u0027Dim Err (%)\u0027],result[\u0027Gap Err (%)\u0027],result[\u0027Unknown (%)\u0027]])\n\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\theaders \u003d [\"Start Timestamp\", \"Hour\",\"Total (pph)\",\"Diverted (pph)\",\"Dest Full (pph)\",\"Dest Jam (pph)\",\"Dest Disabled (pph)\",\"Dest Fault (pph)\",\"Divert Fail (pph)\",\"Lost (pph)\",\"Unsafe (pph)\",\"Dim Err (pph)\",\"Gap Error (pph)\",\"Unknown (pph)\"]\n\t\t\t\tfor result in test_table:\n\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Total (pph)\u0027],result[\u0027Diverted (pph)\u0027],result[\u0027Dest Full (pph)\u0027],result[\u0027Dest Jam (pph)\u0027],result[\u0027Dest Disabled (pph)\u0027],result[\u0027Dest Fault (pph)\u0027],result[\u0027Divert Fail (pph)\u0027],result[\u0027Lost (pph)\u0027],result[\u0027Unsafe (pph)\u0027],result[\u0027Dim Err (pph)\u0027],result[\u0027Gap Err (pph)\u0027],result[\u0027Unknown (pph)\u0027]])\n\t\t\t\t\n\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Hourly Lane.csv\u0027, data \u003d csv)\n\t\t\t\n\t\t\t\n\telif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 12:\n\t\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Dumper cycles\").getChild(\"Dumper cycles\").props.filter.results.data\n\t\t\tif(len(results) \u003e 0):\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Cycles of ULGL1\",\"Cycles of ULGL2\",\"Cycles of ULGL3\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Cycles of ULGL1\u0027],result[\u0027Cycles of ULGL2\u0027],result[\u0027Cycles of ULGL3\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Cycles of ULGL1 (%)\",\"Cycles of ULGL2 (%)\",\"Cycles of ULGL3 (%)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Cycles of ULGL1 (%)\u0027],result[\u0027Cycles of ULGL2 (%)\u0027],result[\u0027Cycles of ULGL3 (%)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Cycles of ULGL1 (cph)\",\"Cycles of ULGL2 (cph)\",\"Cycles of ULGL3 (cph)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Cycles of ULGL1 (cph)\u0027],result[\u0027Cycles of ULGL2 (cph)\u0027],result[\u0027Cycles of ULGL3 (cph)\u0027]])\n\t\t\t\t\t\n\t\t\telse:\n\t\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Dumper cycles\").getChild(\"Dumper cycles\").props.data)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Cycles of ULGL1\",\"Cycles of ULGL2\",\"Cycles of ULGL3\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Cycles of ULGL1\u0027],result[\u0027Cycles of ULGL2\u0027],result[\u0027Cycles of ULGL3\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Cycles of ULGL1 (%)\",\"Cycles of ULGL2 (%)\",\"Cycles of ULGL3 (%)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Cycles of ULGL1 (%)\u0027],result[\u0027Cycles of ULGL2 (%)\u0027],result[\u0027Cycles of ULGL3 (%)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Cycles of ULGL1 (cph)\",\"Cycles of ULGL2 (cph)\",\"Cycles of ULGL3 (cph)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Cycles of ULGL1 (cph)\u0027],result[\u0027Cycles of ULGL2 (cph)\u0027],result[\u0027Cycles of ULGL3 (cph)\u0027]])\t\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Dumper cycles.csv\u0027, data \u003d csv)\n\t\t\t\t\t\n\t\t\t\t\t\n\telif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 10:\n\n\t\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Total Full1\").getChild(\"Total Full1\").props.filter.results.data\n\t\t\tif(len(results) \u003e 0):\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Cycles of ULGL1\",\"Cycles of ULGL2\",\"Cycles of ULGL3\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Cycles of ULGL1\u0027],result[\u0027Cycles of ULGL2\u0027],result[\u0027Cycles of ULGL3\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Cycles of ULGL1 (%)\",\"Cycles of ULGL2 (%)\",\"Cycles of ULGL3 (%)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Cycles of ULGL1 (%)\u0027],result[\u0027Cycles of ULGL2 (%)\u0027],result[\u0027Cycles of ULGL3 (%)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\t\theaders \u003d [\"Start Timestamp\",\"Hour\",\"Cycles of ULGL1 (cph)\",\"Cycles of ULGL2 (cph)\",\"Cycles of ULGL3 (cph)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Start Timestamp\u0027],result[\u0027Hour\u0027],result[\u0027Cycles of ULGL1 (cph)\u0027],result[\u0027Cycles of ULGL2 (cph)\u0027],result[\u0027Cycles of ULGL3 (cph)\u0027]])\n\t\t\t\n\t\t\telse:\n\t\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Total Full1\").getChild(\"Total Full1\").props.data)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Lane\",\"Total (#)\",\"DestFull (#)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Lane\u0027],result[\u0027Total (#)\u0027],result[\u0027DestFull (#)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Lane\",\"Total (%)\",\"DestFull (%)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Lane\u0027],result[\u0027Total (%)\u0027],result[\u0027DestFull (%)\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Rate\":\n\t\t\t\t\theaders \u003d [\"Lane\",\"Total (pph)\",\"DestFull (pph)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Lane\u0027],result[\u0027Total (pph)\u0027],result[\u0027DestFull (pph)\u0027]])\t\t\t\t\t\t\t\n\t\t\t\n\t\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Lane Total Full.csv\u0027, data \u003d csv)\n\t\t\t\n\telif self.getSibling(\"Statistics\").props.currentTabIndex \u003d\u003d 11:\n\t\t\n\t\t\tresults \u003d self.parent.getChild(\"Statistics\").getChild(\"Jam Area\").getChild(\"Jam Area\").props.filter.results.data\n\t\t\tif(len(results) \u003e 0):\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Stamp\",\"End Stamp\",\"Total Jam (#)\",\"Dumpers Jam (#)\", \"Inbound Jam (#)\",\"Runout Jam (#)\",\"Sorter Recirc Jam (#)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027Total_Jam\u0027],result[\u0027Dumpers_jam\u0027],result[\u0027Inbound_jam\u0027],result[\u0027Runout_jam\u0027],result[\u0027Sorter_Recirc_jam\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Stamp\",\"End Stamp\",\"Total Jam (%)\",\"Dumpers Jam (%)\", \"Inbound Jam (%)\",\"Runout Jam (%)\",\"Sorter Recirc Jam (%)\"]\n\t\t\t\t\tfor result in results:\n\t\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027Total_perc\u0027],result[\u0027Dumpers_perc\u0027],result[\u0027Inbound_perc\u0027],result[\u0027Runout_perc\u0027],result[\u0027Sorter_Recirc_perc\u0027]])\n\n\t\t\t\n\t\t\telse:\n\t\t\t\ttest_table \u003d system.dataset.toPyDataSet(self.parent.getChild(\"Statistics\").getChild(\"Jam Area\").getChild(\"Jam Area\").props.data)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\tif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Count\":\n\t\t\t\t\theaders \u003d [\"Start Stamp\",\"End Stamp\",\"Total Jam (#)\",\"Dumpers Jam (#)\", \"Inbound Jam (#)\",\"Runout Jam (#)\",\"Sorter Recirc Jam (#)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027Total_Jam\u0027],result[\u0027Dumpers_jam\u0027],result[\u0027Inbound_jam\u0027],result[\u0027Runout_jam\u0027],result[\u0027Sorter_Recirc_jam\u0027]])\n\t\t\t\telif self.parent.getChild(\"Aggregation_Mode\").getChild(\"Dropdown_Aggregation_mode\").props.value \u003d\u003d \"Percentage\":\n\t\t\t\t\theaders \u003d [\"Start Stamp\",\"End Stamp\",\"Total Jam (%)\",\"Dumpers Jam (%)\", \"Inbound Jam (%)\",\"Runout Jam (%)\",\"Sorter Recirc Jam (%)\"]\n\t\t\t\t\tfor result in test_table:\n\t\t\t\t\t\tdata.append([result[\u0027Startstamp\u0027],result[\u0027Endtstamp\u0027],result[\u0027Total_perc\u0027],result[\u0027Dumpers_perc\u0027],result[\u0027Inbound_perc\u0027],result[\u0027Runout_perc\u0027],result[\u0027Sorter_Recirc_perc\u0027]])\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\n\t\t\ttable \u003d system.dataset.toDataSet(headers, data)\t\n\t\t\tcsv \u003d system.dataset.toCSV(table,1,0,1)\n\t\t\tsystem.perspective.download(filename \u003d str_date+\u0027 Jam Areas.csv\u0027, data \u003d csv)\t\t\t\t\t\t\n\t\t\t\t\t"
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"scope": "G",
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}
},
"meta": {
"name": "ExportToCSV",
"tooltip": {
"enabled": true,
"location": "bottom",
"style": {
"backgroundColor": "#2B2B2BBF",
"color": "#FFFFFF",
"fontSize": 14,
"textAlign": "left",
"white-space": "pre"
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"sustain": 2000
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"position": {
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"width": 0.0625,
"x": 0.9351,
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"propConfig": {
"meta.tooltip.text": {
"binding": {
"config": {
"expression": "\"About: Export to CSV\"+ \r\n\"\\n\"+\r\n\"\\n\"+\"Which tab is open that\"+ \r\n\"\\n\"+\"table will be exported to CSV\"+ \r\n\"\\n\"+\"file after clicking on the button.\""
},
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},
"props": {
"mode": "percent",
"style": {
"classes": "Button_Action",
"fontFamily": "Arial",
"marginBottom": "2px",
"marginTop": "16px"
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"text": "Export to CSV"
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{
"meta": {
"name": "LPeriod"
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"position": {
"basis": "60px"
},
"props": {
"style": {
"color": "#FFFFFF"
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"text": "Period:"
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"type": "ia.display.label"
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{
"meta": {
"name": "Period"
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"position": {
"basis": "160px"
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"props": {
"options": [
{
"label": "Past 30 Min",
"value": "Past 30 Min"
},
{
"label": "Past Hour",
"value": "Past Hour"
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{
"label": "Past 2 Hour",
"value": "Past 2 Hour"
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{
"label": "Past 4 Hour",
"value": "Past 4 Hour"
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"label": "Past 8 Hour",
"value": "Past 8 Hour"
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{
"label": "Current Day",
"value": "Current Day"
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{
"label": "Morning",
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{
"label": "Daylight",
"value": "Daylight"
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{
"label": "Twilight",
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"label": "Night",
"value": "Night"
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{
"label": "Wrap Down",
"value": "Wrap Down"
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{
"label": "Current Sort",
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{
"label": "Custom",
"value": "Custom"
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"value": "Past Hour"
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"meta": {
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"position": {
"basis": "85px"
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"props": {
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{
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"meta": {
"name": "StartTime"
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"propConfig": {
"props.enabled": {
"binding": {
"config": {
"expression": "{../Period.props.value} \u003d \"Custom\""
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"type": "expr"
}
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"props.maxDate": {
"binding": {
"config": {
"expression": "now()"
},
"type": "expr"
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"props.startDate": {
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"config": {
"path": "../Period.props.value"
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"transforms": [
{
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"inputType": "expression",
"mappings": [
{
"input": "\"Past 30 Min\"",
"output": "todate(dateFormat(dateArithmetic(now(),-30, \"Minute\"), \"yyyy-MM-dd HH:mm:ss\"))"
},
{
"input": "\"Past Hour\"",
"output": "todate(dateFormat(dateArithmetic(now(),-1, \"Hour\"), \"yyyy-MM-dd HH:mm:ss\"))"
},
{
"input": "\"Past 2 Hour\"",
"output": "todate(dateFormat(dateArithmetic(now(),-2, \"Hour\"), \"yyyy-MM-dd HH:mm:ss\"))"
},
{
"input": "\"Past 4 Hour\"",
"output": "todate(dateFormat(dateArithmetic(now(),-4, \"Hour\"), \"yyyy-MM-dd HH:mm:ss\"))"
},
{
"input": "\"Past 8 Hour\"",
"output": "todate(dateFormat(dateArithmetic(now(),-8, \"Hour\"), \"yyyy-MM-dd HH:mm:ss\"))"
},
{
"input": "\"Current Day\"",
"output": "todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 00:00:00\"))"
},
{
"input": "\"Morning\"",
"output": "if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"2:30:00\",\r dateFormat(dateArithmetic(now(0),-1, \"Day\"), \"yyyy-MM-dd 2:30:00\"),todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 2:30:00\")))"
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{
"input": "\"Daylight\"",
"output": "if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"7:30:00\", todate(dateFormat(dateArithmetic(now(0),-1, \"Day\"), \"yyyy-MM-dd 7:30:00\")),todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 7:30:00\")))"
},
{
"input": "\"Twilight\"",
"output": "if (dateFormat(dateArithmetic(now(),0, \"Hours\"), \"HH:mm:ss\")\u003c\"13:00:00\", todate(dateFormat(dateArithmetic(now(0),-1, \"Day\"), \"yyyy-MM-dd 13:00:00\")),todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 13:00:00\")))"
},
{
"input": "\"Night\"",
"output": "if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"18:30:00\", todate(dateFormat(dateArithmetic(now(0),-1, \"Day\"), \"yyyy-MM-dd 18:30:00\")),todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 18:30:00\")))"
},
{
"input": "\"Wrap Down\"",
"output": "if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"23:30:00\", todate(dateFormat(dateArithmetic(now(0),-1, \"Day\"), \"yyyy-MM-dd 23:30:00\")),todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 23:30:00\")))"
},
{
"input": "\"Current Sort\"",
"output": "if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"7:30:00\", todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 2:30:00\")), \r if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"13:00:00\",todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 7:30:00\")),\r if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"18:30:00\",todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 13:00:00\")),\r if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"23:30:00\",todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 18:30:00\")),\r if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"2:30:00\", todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 23:30:00\")),\r todate(dateFormat(dateArithmetic(now(),0, \"Day\"), \"yyyy-MM-dd HH:mm:ss\")))))))"
},
{
"input": "\"Custom\"",
"output": "{this.props.value}"
}
],
"outputType": "expression",
"type": "map"
}
],
"type": "property"
},
"onChange": {
"enabled": null,
"script": "\t\n\tif self.getSibling(\"Period\").props.value !\u003d \"Custom\":\n\t\tself.props.value \u003d self.props.startDate"
}
},
"props.value": {
"onChange": {
"enabled": null,
"script": "\t\n\tif system.date.secondsBetween(self.props.value,self.getSibling(\"EndTime\").props.value) \u003e 604800 or system.date.secondsBetween(self.props.value,self.getSibling(\"EndTime\").props.value) \u003c 0:\n\t if system.date.secondsBetween(system.date.addSeconds(self.props.value,604800),system.date.now()) \u003c 0: \n\t self.getSibling(\"EndTime\").props.value \u003d system.date.now()\n\t else:\n\t self.getSibling(\"EndTime\").props.value \u003d system.date.addSeconds(self.props.value,604800)"
}
}
},
"props": {
"dismissOnSelect": false,
"formattedValue": "May 19, 2025 5:22 PM",
"formattedValues": {
"date": "Mar 26, 2021",
"datetime": "Mar 26, 2021 12:00 AM",
"time": "12:00 AM"
},
"value": {
"$": [
"ts",
192,
1747664567742
],
"$ts": 1747660967000
}
},
"type": "ia.input.date-time-input"
},
{
"meta": {
"name": "Spare"
},
"position": {
"basis": "18.1px"
},
"type": "ia.display.label"
},
{
"meta": {
"name": "End Date"
},
"position": {
"basis": "81px"
},
"props": {
"style": {
"color": "#FFFFFF"
},
"text": "End Date:"
},
"type": "ia.display.label"
},
{
"custom": {
"Selected": "value"
},
"events": {
"component": {
"onActionPerformed": {
"config": {
"script": "\t\n\tself.custom.Selected \u003d self.props.value"
},
"scope": "G",
"type": "script"
}
}
},
"meta": {
"name": "EndTime"
},
"position": {
"basis": "190px"
},
"propConfig": {
"props.enabled": {
"binding": {
"config": {
"expression": "{../Period.props.value} \u003d \"Custom\""
},
"type": "expr"
}
},
"props.endDate": {
"binding": {
"config": {
"path": "../Period.props.value"
},
"transforms": [
{
"fallback": "{this.props.value}",
"inputType": "scalar",
"mappings": [
{
"input": "Past 30 Min",
"output": "todate(dateFormat(dateArithmetic(now(),0, \"Hour\"), \"yyyy-MM-dd HH:mm:ss\"))"
},
{
"input": "Past Hour",
"output": "todate(dateFormat(dateArithmetic(now(),0, \"hour\"), \"yyyy-MM-dd HH:mm:ss\"))"
},
{
"input": "Past 2 Hour",
"output": "todate(dateFormat(dateArithmetic(now(),0, \"hour\"), \"yyyy-MM-dd HH:mm:ss\"))"
},
{
"input": "Past 4 Hour",
"output": "todate(dateFormat(dateArithmetic(now(),0, \"hour\"), \"yyyy-MM-dd HH:mm:ss\"))"
},
{
"input": "Past 8 Hour",
"output": "todate(dateFormat(dateArithmetic(now(),0, \"hour\"), \"yyyy-MM-dd HH:mm:ss\"))"
},
{
"input": "Current Day",
"output": "todate(dateFormat(dateArithmetic(now(),0, \"hour\"), \"yyyy-MM-dd HH:mm:ss\"))"
},
{
"input": "Morning",
"output": "if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"2:30:00\",\r todate(dateFormat(dateArithmetic(now(0),-1, \"Day\"), \"yyyy-MM-dd 7:30:00\")),\r if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"7:30:00\",\r todate(dateFormat(dateArithmetic(now(),0, \"Day\"), \"yyyy-MM-dd HH:mm:ss\")), todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 7:30:00\"))))"
},
{
"input": "Daylight",
"output": "if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"7:30:00\",\r todate(dateFormat(dateArithmetic(now(0),-1, \"Day\"), \"yyyy-MM-dd 13:00:00\")),\r if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"13:00:00\",\r todate(dateFormat(dateArithmetic(now(),0, \"Day\"), \"yyyy-MM-dd HH:mm:ss\")), todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 13:00:00\"))))"
},
{
"input": "Twilight",
"output": "if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"13:00:00\",\r todate(dateFormat(dateArithmetic(now(0),-1, \"Day\"), \"yyyy-MM-dd 18:30:00\")),\r if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"18:30:00\",\r todate(dateFormat(dateArithmetic(now(),0, \"Day\"), \"yyyy-MM-dd HH:mm:ss\")), todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 18:30:00\"))))"
},
{
"input": "Night",
"output": "if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"18:30:00\",\r todate(dateFormat(dateArithmetic(now(0),-1, \"Day\"), \"yyyy-MM-dd 23:30:00\")),\r if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"23:30:00\",\r todate(dateFormat(dateArithmetic(now(),0, \"Day\"), \"yyyy-MM-dd HH:mm:ss\")), todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 23:30:00\"))))"
},
{
"input": "Wrap Down",
"output": "if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"23:30:00\",\r todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 2:30:00\")),\r if (dateFormat(dateArithmetic(now(),0, \"Day\"), \"HH:mm:ss\")\u003c\"2:30:00\",\r todate(dateFormat(dateArithmetic(now(),0, \"Day\"), \"yyyy-MM-dd HH:mm:ss\")), todate(dateFormat(dateArithmetic(now(0),0, \"Day\"), \"yyyy-MM-dd 2:30:00\"))))"
},
{
"input": "Current Sort",
"output": "todate(dateFormat(dateArithmetic(now(),0, \"hour\"), \"yyyy-MM-dd HH:mm:ss\"))"
}
],
"outputType": "expression",
"type": "map"
}
],
"type": "property"
},
"onChange": {
"enabled": null,
"script": "\t\n\tif self.getSibling(\"Period\").props.value !\u003d \"Custom\":\n\t\tself.props.value \u003d self.props.endDate"
}
},
"props.maxDate": {
"binding": {
"config": {
"expression": "if(dateDiff({../StartTime.props.value},now(),\"day\") \u003c 7, now(),dateArithmetic({../StartTime.props.value}, 7, \"days\"))"
},
"type": "expr"
}
},
"props.minDate": {
"binding": {
"config": {
"expression": "{../StartTime.props.value}"
},
"type": "expr"
}
}
},
"props": {
"dismissOnSelect": false,
"formattedValue": "May 19, 2025 6:22 PM",
"formattedValues": {
"date": "Mar 29, 2021",
"datetime": "Mar 29, 2021 1:37 PM",
"time": "1:37 PM"
},
"value": {
"$": [
"ts",
192,
1747664567742
],
"$ts": 1747664567000
}
},
"type": "ia.input.date-time-input"
}
],
"meta": {
"name": "Period_not_Global_0"
},
"position": {
"height": 0.0269,
"width": 0.413,
"x": 0.0025,
"y": 0.0059
},
"propConfig": {
"custom.EndDate": {
"binding": {
"config": {
"path": "./EndTime.props.value"
},
"type": "property"
}
},
"custom.StartDate": {
"binding": {
"config": {
"path": "./StartTime.props.value"
},
"type": "property"
}
}
},
"props": {
"style": {
"fontFamily": "Arial"
}
},
"type": "ia.container.flex"
},
{
"meta": {
"name": "Info",
"tooltip": {
"enabled": true,
"location": "bottom-right",
"style": {
"backgroundColor": "#2B2B2BBF",
"color": "#FFFFFF",
"fontFamily": "Arial",
"fontSize": 14,
"textAlign": "left",
"white-space": "pre"
}
}
},
"position": {
"height": 0.043,
"width": 0.0208,
"x": 0.9745,
"y": 0.0847
},
"propConfig": {
"meta.tooltip.text": {
"binding": {
"config": {
"expression": "if ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 0,\r\n\t\"About: Induct Details\"+ \r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Start Timestamp - time of the first value determined by the selected period.\"+\r\n\t\"\\n\"+\"End Timestamp - time of the last value determined by the selected period.\"+\r\n\t\"\\n\"+\"Sorter Number - sorter name.\"+\r\n\t\"\\n\"+\"Induct Number - induct name.\"+\r\n\t\"\\n\"+\"Total Count - the total number of parcels.\"+\r\n\t\"\\n\"+\"Single Carrier Count - the number of single parcels.\"+\r\n\t\"\\n\"+\"Double Carrier Count - the number of paired parcels.\",\r\nif ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 1,\r\n\t\"About: Scanner Details\"+ \r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Start Timestamp - time of the first value determined by the selected period.\"+\r\n\t\"\\n\"+\"End Timestamp - time of the last value determined by the selected period.\"+\r\n\t\"\\n\"+\"Sorter Number - sorter name.\"+\r\n\t\"\\n\"+\"Scanner Number - scanner name.\"+\r\n\t\"\\n\"+\"Total Count - total number of scanned parcels.\"+\r\n\t\"\\n\"+\"Good Read Count - number of good reads.\"+\r\n\t\"\\n\"+\"No Read Count - number of noreads.\"+\r\n\t\"\\n\"+\"Multi Read Count - number of multireads.\"+\r\n\t\"\\n\"+\"No Code Count - number of no codes.\",\r\nif ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 2,\r\n\t\"About: Sorter Summary\"+ \r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Start Timestamp - time of the first value determined by the selected period.\"+\r\n\t\"\\n\"+\"End Timestamp - time of the last value determined by the selected period.\"+\r\n\t\"\\n\"+\"Sorter Number - sorter name.\"+\r\n\t\"\\n\"+\"Inducted - the total number of received parcels.\"+\r\n\t\"\\n\"+\"Sorted - the number of parcels sorted.\"+\r\n\t\"\\n\"+\"AWCS Recirc - the number of parcels sent for recirc.\"+\r\n\t\"\\n\"+\"Operational Recirc - \"+\r\n\t\"\\n\"+\"Machine Recirc - \",\r\nif ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 3,\r\n\t\"About: Sorter Details\"+ \r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Start Timestamp - time of the first value determined by the selected period.\"+\r\n\t\"\\n\"+\"End Timestamp - time of the last value determined by the selected period.\"+\r\n\t\"\\n\"+\"Sorter Number - sorter name.\"+\r\n\t\"\\n\"+\"Inducted Count - the total number of received parcels.\"+\r\n\t\"\\n\"+\"Sorted Count - the number of parcels sorted.\"+\r\n\t\"\\n\"+\"Assigned Count - not applicable.\"+\r\n\t\"\\n\"+\"Destination Inv Count - the total number of the requested destination \\n\\t\\tassigned by AWCS is not valid for the current scan point or sorter.\"+\r\n\t\"\\n\"+\"Dest None Count - not applicable.\"+\r\n\t\"\\n\"+\"Dest Dis Count - not applicable.\"+\r\n\t\"\\n\"+\"Destination Full Count - the total number of the requested destination for \\n\\t\\tthe container was full. \"+\r\n\t\"\\n\"+\"Unexpected Count - the total number of an unexpected container was \\n\\t\\tidentified during sortation.\"+\r\n\t\"\\n\"+\"Destination Fault Count - the total number of the requested destination \\n\\t\\tfor the container was non-operational due to a fault\"+\r\n\t\"\\n\"+\"Divert Fail Count - the total number of the sorter attempted to divert \\n\\t\\tthe container to the requested destination\tbut failed. \"+\r\n\t\"\\n\"+\"Gap Error Count - the total number of containers were inducted into the \\n\\t\\tsorter with less than the minimum gap between containers the \\n\\t\\tsorter supports.\"+\r\n\t\"\\n\"+\"Lost Count - the total number of the container was lost on the sorter after \\n\\t\\tit was scanned at a scan point.\"+\r\n\t\"\\n\"+\"Track Error - the total number of the container was lost on the sorter after \\n\\t\\tit was scanned at a scan point.\"+\r\n\t\"\\n\"+\"Unknown Count - the total number of\"+\r\n\t\"\\n\"+\"Unsafe Count - the total number of the sorter did not attempt to divert \\n\\t\\tthe container to the requested destination because the container \\n\\t\\twas unable to be diverted accurately or safely\",\r\nif ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 4,\r\n\t\"About: Lane Details\"+ \r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Start Timestamp - time of the first value determined by the selected period.\"+\r\n\t\"\\n\"+\"End Timestamp - time of the last value determined by the selected period.\"+\r\n\t\"\\n\"+\"Sorter Number - sorter name.\"+\r\n\t\"\\n\"+\"Lane/Chute Number - lane/chute name.\"+\r\n\t\"\\n\"+\"Total Count - total number of diverted parcels on this chute.\"+\r\n\t\"\\n\"+\"Diverted Count - the number of successfully diverted parcels to this chute.\"+\r\n\t\"\\n\"+\"Destination Full Count - the number of full states.\"+\r\n\t\"\\n\"+\"Destination Jam Count - the number of jam states.\"+\r\n\t\"\\n\"+\"Destination Disabled Count - the number of Disabled states.\"+\r\n\t\"\\n\"+\"Destination Fault Count - not applicable.\"+\r\n\t\"\\n\"+\"Divert Fail Count - the number of unsuccessfully diverted parcels to this chute.\"+\r\n\t\"\\n\"+\"Lost Count - not applicable.\"+\r\n\t\"\\n\"+\"Unsafe Count - not applicable.\"+\r\n\t\"\\n\"+\"Dim Error - not applicable.\"+\r\n\t\"\\n\"+\"Gap Error Count - not applicable.\"+\r\n\t\"\\n\"+\"Unknown Count - not applicable.\",\r\nif ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 5,\r\n\t\"About: Hourly Induct\"+ \r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Start Timestamp - time value for counting on hourly values.\"+\r\n\t\"\\n\"+\"Hour – Hour of the day (H1-H24) - time in the selected period \\n\\t\\tdivided by whole hours. The choice of the time period \\n\\t\\tthat will be viewed for the Hourly tables should be \\n\\t\\tin whole hours (example: 7:00).\"+\r\n\t\"\\n\"+\"Total (#) - the total number of parcels.\"+\r\n\t\"\\n\"+\"Single Carrier (#) - the number of single parcels.\"+\r\n\t\"\\n\"+\"Double Carrier (#) - the number of paired parcels.\",\r\nif ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 6,\r\n\t\"About: Hourly Scanner\"+ \r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Start Timestamp - time value for counting on hourly values.\"+\r\n\t\"\\n\"+\"Hour – Hour of the day (H1-H24) - time in the selected period \\n\\t\\tdivided by whole hours. The choice of the time period \\n\\t\\tthat will be viewed for the Hourly tables should be \\n\\t\\tin whole hours (example: 7:00).\"+\r\n\t\"\\n\"+\"Total (#) - total number of scanned parcels.\"+\r\n\t\"\\n\"+\"Good read (#) - number of good reads.\"+\r\n\t\"\\n\"+\"No Read (#) - number of noreads.\"+\r\n\t\"\\n\"+\"Multi Read (#) - number of multireads.\"+\r\n\t\"\\n\"+\"No Code (#) - number of no codes.\",\r\nif ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 7,\r\n\t\"About: Hourly Sorter Summary\"+ \r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Start Timestamp - time value for counting on hourly values.\"+\r\n\t\"\\n\"+\"Hour – Hour of the day (H1-H24) - time in the selected period \\n\\t\\tdivided by whole hours. The choice of the time period \\n\\t\\tthat will be viewed for the Hourly tables should be \\n\\t\\tin whole hours (example: 7:00).\"+\r\n\t\"\\n\"+\"Total Inducted(#) - the total number of received parcels.\"+\r\n\t\"\\n\"+\"Total Sorted(#) - the number of parcels sorted.\"+\r\n\t\"\\n\"+\"AWCS Recirculate (#) - the number of parcels sent for recirc.\"+\r\n\t\"\\n\"+\"Operational Recirculate(#) - \"+\r\n\t\"\\n\"+\"Machine Recirculate(#) - \",\r\nif ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 8,\r\n\t\"About: Hourly Sorter Details\"+ \r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Start Timestamp - time value for counting on hourly values.\"+\r\n\t\"\\n\"+\"Hour – Hour of the day (H1-H24) - time in the selected period \\n\\t\\tdivided by whole hours. The choice of the time period \\n\\t\\tthat will be viewed for the Hourly tables should be \\n\\t\\tin whole hours (example: 7:00).\"+\r\n\t\"\\n\"+\"Inducted (#) - the total number of received parcels.\"+\r\n\t\"\\n\"+\"Sorted (#) - the number of parcels sorted.\"+\r\n\t\"\\n\"+\"Assigned (#) - not applicable.\"+\r\n\t\"\\n\"+\"Destination Inv (#) - the total number of the requested destination \\n\\t\\tassigned by AWCS is not valid for the current scan point or sorter.\"+\r\n\t\"\\n\"+\"Dest None (#) - not applicable.\"+\r\n\t\"\\n\"+\"Dest Dis Count - not applicable.\"+\r\n\t\"\\n\"+\"Destination Full (#) - the total number of the requested destination for \\n\\t\\tthe container was full.\"+\r\n\t\"\\n\"+\"Unexpected (#) - the total number of an unexpected container was \\n\\t\\tidentified during sortation.\"+\r\n\t\"\\n\"+\"Destination Fault (#) - the total number of the requested destination \\n\\t\\tfor the container was non-operational due to a fault.\"+\r\n\t\"\\n\"+\"Divert Fail (#) - - the total number of the sorter attempted to divert \\n\\t\\tthe container to the requested destination but failed.\"+\r\n\t\"\\n\"+\"Gap Error (#) - the total number of containers were inducted into the \\n\\t\\tsorter with less than the minimum gap between containers the \\n\\t\\tsorter supports.\"+\r\n\t\"\\n\"+\"Lost (#) - the total number of the container was lost on the sorter after \\n\\t\\tit was scanned at a scan point.\"+\r\n\t\"\\n\"+\"Track Error (#) - the total number of the container was lost on the sorter after \\n\\t\\tit was scanned at a scan point.\"+\r\n\t\"\\n\"+\"Unknown Count (#) - \"+\r\n\t\"\\n\"+\"Unsafe Count (#) - the total number of the sorter did not attempt to divert \\n\\t\\tthe container to the requested destination because the container \\n\\t\\twas unable to be diverted accurately or safely\",\r\nif ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 9,\r\n\t\"About: Hourly Lane Details\"+ \r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Start Timestamp - time value for counting on hourly values.\"+\r\n\t\"\\n\"+\"Hour – Hour of the day (H1-H24) - time in the selected period \\n\\t\\tdivided by whole hours. The choice of the time period \\n\\t\\tthat will be viewed for the Hourly tables should be \\n\\t\\tin whole hours (example: 7:00).\"+\r\n\t\"\\n\"+\"Total (#) - total number of diverted parcels on this chute.\"+\r\n\t\"\\n\"+\"Diverted (#) - the number of successfully diverted parcels to this chute.\"+\r\n\t\"\\n\"+\"Destination Full (#) - the number of full states.\"+\r\n\t\"\\n\"+\"Destination Jam (#) - the number of jam states.\"+\r\n\t\"\\n\"+\"Destination Disabled (#) - the number of Disabled states.\"+\r\n\t\"\\n\"+\"Destination Fault Count - not applicable.\"+\r\n\t\"\\n\"+\"Divert Fail (#) - the number of unsuccessfully diverted parcels to this chute.\"+\r\n\t\"\\n\"+\"Lost (#) - not applicable.\"+\r\n\t\"\\n\"+\"Unsafe (#) - not applicable.\"+\r\n\t\"\\n\"+\"Dim (#) - not applicable.\"+\r\n\t\"\\n\"+\"Gap Error (#) - not applicable.\"+\r\n\t\"\\n\"+\"Unknown (#) - not applicable.\",\r\nif ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 10,\r\n\t\"About: Lane Total Full\"+\t\r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Lane Number - lane name.\"+\r\n\t\"\\n\"+\"Total Count - total number of diverted parcels on this chute.\"+\r\n\t\"\\n\"+\"Destination Full Count - the number of full states.\",\r\nif ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 11,\r\n\t\"About: Jam by Area\"+\t\r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Jam counts by areas\",\r\n\t\r\nif ({view.params.Table} \u003d \"Statistics\" \u0026\u0026 {view.params.Tab_ID} \u003d 12,\r\n\t\"About: Dumper cycles\"+\t\r\n\t\"\\n\"+\r\n\t\"\\n\"+\"Cycles counts by dumpers\",\t\t\r\n\r\n\"not response\")))))))))))))"
},
"type": "expr"
}
}
},
"props": {
"fit": {
"mode": "fill"
},
"source": "/system/images/MyIcon/question64x64.png",
"style": {
"cursor": "pointer"
}
},
"type": "ia.display.image"
},
{
"meta": {
"name": "Label"
},
"position": {
"height": 0.0344,
"width": 0.2536,
"x": 0.5195,
"y": 0.0041
},
"propConfig": {
"props.text": {
"binding": {
"config": {
"designerUseLimit": false,
"parameters": {
"endtime": "{../Period_not_Global_0.custom.EndDate}",
"starttime": "{../Period_not_Global_0.custom.StartDate}"
},
"polling": {
"enabled": true,
"rate": "300"
},
"queryPath": "Statistics/Max PPH 5 Min"
},
"transforms": [
{
"code": "\t\n\tmax_pph \u003d system.dataset.toPyDataSet(value)\n\treturn \"Highest Sorted PPH at 5 min Interval: \" + str(int(max_pph[0][0])) + \" pph\"\n\t\n\t",
"type": "script"
}
],
"type": "query"
}
}
},
"props": {
"style": {
"color": "#FFFFFF",
"fontFamily": "Arial",
"fontSize": 20
}
},
"type": "ia.display.label"
},
{
"children": [
{
"meta": {
"name": "Label_Lane"
},
"position": {
"basis": "70px"
},
"props": {
"style": {
"color": "#000000"
},
"text": "Dumper:"
},
"type": "ia.display.label"
},
{
"meta": {
"name": "Dumper"
},
"position": {
"basis": "171px"
},
"props": {
"options": [
{
"label": "ULGL1-1",
"value": "ULGL1-1"
},
{
"label": "ULGL2-1",
"value": "ULGL2-1"
},
{
"label": "ULGL3-1",
"value": "ULGL3-1"
}
],
"value": "S0101"
},
"type": "ia.input.dropdown"
}
],
"meta": {
"name": "Dumper Drop Down_0",
"visible": false
},
"position": {
"height": 0.0269,
"width": 0.1219,
"x": 0.8469,
"y": 0.0922
},
"propConfig": {
"meta.visible": {
"binding": {
"config": {
"expression": "if ({../Statistics.props.currentTabIndex} \u003d 12 ,\r\ntrue,\r\nfalse)"
},
"enabled": false,
"type": "expr"
}
}
},
"props": {
"style": {
"fontFamily": "Arial"
}
},
"type": "ia.container.flex"
}
],
"meta": {
"name": "root"
},
"position": {
"x": -0.0073,
"y": -0.0011
},
"props": {
"mode": "percent",
"style": {
"backgroundColor": "#1A4A5E"
}
},
"type": "ia.container.coord"
}
}
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