ToolJet/server/templates/business-intelligence-dashboard-postgresql/definition.json
2024-05-03 17:44:11 +05:30

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},
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"name": "reviewDistribution",
"options": {
"mode": "sql",
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"query": "{{`SELECT\n INITCAP(${ components.dropdown2.value }) AS entity,\n SUM(\n CASE\n WHEN overall_sentiment = 'Positive' THEN 1\n ELSE 0\n END\n ) AS positive_reviews,\n SUM(\n CASE\n WHEN overall_sentiment = 'Negative' THEN 1\n ELSE 0\n END\n ) AS negative_reviews,\n SUM(\n CASE\n WHEN overall_sentiment = 'Neutral' THEN 1\n ELSE 0\n END\n ) AS neutral_reviews,\n COUNT(*) AS total_reviews\nFROM\n business_data\nWHERE\n date_of_submission BETWEEN '${moment(components.datepicker1.value, \"DD/MM/YYYY\").format(\"YYYY-MM-DD\")}'\n AND '${moment(components.datepicker2.value, \"DD/MM/YYYY\").format(\"YYYY-MM-DD\")}'\n AND LOWER(brand) in ('${components.multiselect5.values.join(\"', '\")}')\n AND LOWER(source) in ('${components.multiselect6.values.join(\"', '\")}')\n AND LOWER(roa) in ('${components.multiselect7.values.join(\"', '\")}')\n AND LOWER(gender) in ('${components.multiselect8.values.join(\"', '\")}')\nGROUP BY\n ${ components.dropdown2.value }\nORDER BY\n total_reviews ASC;`}}",
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},
"dataSourceId": "737a1edf-9ced-46a6-9f05-b747f371ce5e",
"appVersionId": "16c7b57d-3440-427c-b524-737103318986",
"createdAt": "2024-04-17T07:12:44.777Z",
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},
{
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"name": "chartReviewDistribution",
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"code": "const filteredData = variables.chartFocusParameters\n ? queries.reviewDistribution.data.filter(\n (row) => row.entity == variables.chartFocusParameters.filterEntity\n )\n : queries.reviewDistribution.data;\n\nconst chartData = {\n data: [\n {\n type: \"bar\",\n x: filteredData.map((row) => row.total_reviews),\n y: filteredData.map((row) => row.entity),\n orientation: \"h\",\n marker: {\n color: \"#3E63DDCC\",\n width: 1,\n },\n },\n ],\n};\n\nreturn chartData;",
"parameters": []
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},
{
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"name": "chartSentimentDistribution",
"options": {
"code": "const filteredData = variables.chartFocusParameters\n ? queries.reviewDistribution.data.filter(\n (row) => row.entity == variables.chartFocusParameters.filterEntity\n )\n : queries.reviewDistribution.data;\n\nconst chartData = {\n data: [\n {\n x: filteredData.map(\n (row) => `${(row.positive_reviews * 100) / row.total_reviews}%`\n ),\n y: filteredData.map((row) => row.entity),\n name: \"Positive\",\n orientation: \"h\",\n marker: {\n color: \"#9DF590\",\n width: 1,\n },\n text: filteredData.map(\n (row) =>\n `${((row.positive_reviews * 100) / row.total_reviews).toFixed(2)}%`\n ),\n hovertemplate: filteredData.map(\n (row) =>\n `<b>${row.entity}</b><br>Unique count of Opinions: <b>${\n row.positive_reviews\n }</b><br>% of Opinions:\t<b>${(\n (row.positive_reviews * 100) /\n row.total_reviews\n ).toFixed(2)}%</b>`\n ),\n type: \"bar\",\n },\n {\n x: filteredData.map(\n (row) => `${(row.neutral_reviews * 100) / row.total_reviews}%`\n ),\n y: filteredData.map((row) => row.entity),\n name: \"Neutral\",\n orientation: \"h\",\n marker: {\n color: \"#AFC2FF\",\n width: 1,\n },\n text: filteredData.map(\n (row) =>\n `${((row.neutral_reviews * 100) / row.total_reviews).toFixed(2)}%`\n ),\n hovertemplate: filteredData.map(\n (row) =>\n `<b>${row.entity}</b><br>Unique count of Opinions: <b>${\n row.neutral_reviews\n }</b><br>% of Opinions:\t<b>${(\n (row.neutral_reviews * 100) /\n row.total_reviews\n ).toFixed(2)}%</b>`\n ),\n type: \"bar\",\n },\n {\n x: filteredData.map(\n (row) => `${(row.negative_reviews * 100) / row.total_reviews}%`\n ),\n y: filteredData.map((row) => row.entity),\n name: \"Negative\",\n orientation: \"h\",\n marker: {\n color: \"#FFA1A1\",\n width: 1,\n },\n text: filteredData.map(\n (row) =>\n `${((row.negative_reviews * 100) / row.total_reviews).toFixed(2)}%`\n ),\n hovertemplate: filteredData.map(\n (row) =>\n `<b>${row.entity}</b><br>Unique count of Opinions: <b>${\n row.negative_reviews\n }</b><br>% of Opinions:\t<b>${(\n (row.negative_reviews * 100) /\n row.total_reviews\n ).toFixed(2)}%</b>`\n ),\n type: \"bar\",\n },\n ],\n};\n\nreturn chartData;",
"parameters": []
},
"dataSourceId": "2b6b24bd-4b0a-4f8e-bece-031f270864cd",
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},
{
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"name": "positivityTrend",
"options": {
"code": "const aggregatedData = {};\nconst order = [];\n\nconst filteredData = variables.chartFocusParameters\n ? queries.trendAnalysis.data.filter(\n (row) => row.entity == variables.chartFocusParameters.filterEntity\n )\n : queries.trendAnalysis.data;\n\nfilteredData.forEach((item) => {\n const entity = item.entity;\n const monthYear = item.month_year;\n const totalReviews = item.total_reviews;\n const positiveReviews = item.positive_reviews;\n\n if (!aggregatedData[entity]) {\n aggregatedData[entity] = {\n x: [],\n y: [],\n type: \"scatter\",\n hovertemplate: [],\n name: entity,\n showlegend: components.dropdown11.value,\n mode: \"lines+markers\",\n };\n order.push(entity);\n }\n\n if (!aggregatedData[entity].x.includes(monthYear)) {\n aggregatedData[entity].x.push(monthYear);\n aggregatedData[entity].y.push((positiveReviews / totalReviews) * 100 || 0);\n aggregatedData[entity].hovertemplate.push(\n `Date: <b>${monthYear}</b><br>Total count of Opinions: <b>${totalReviews}</b><br>Unique count of Positive Opinions: <b>${positiveReviews}</b><br>Positivity: <b>${(\n (positiveReviews / totalReviews) * 100 || 0\n ).toFixed(2)}%</b>`\n );\n } else {\n const index = aggregatedData[entity].x.indexOf(monthYear);\n aggregatedData[entity].y[index] = totalReviews;\n }\n});\n\nconst outputJSON = order.map((entity) => aggregatedData[entity]);\n\nreturn { data: outputJSON };",
"parameters": []
},
"dataSourceId": "2b6b24bd-4b0a-4f8e-bece-031f270864cd",
"appVersionId": "16c7b57d-3440-427c-b524-737103318986",
"createdAt": "2024-04-17T07:12:44.777Z",
"updatedAt": "2024-04-17T07:12:44.777Z"
},
{
"id": "8c1f6417-81e2-4388-8f20-ab8abe97a8b2",
"name": "timeTrendAnalysis",
"options": {
"code": "const aggregatedData = {};\nconst order = [];\n\nconst filteredData = variables.chartFocusParameters\n ? queries.trendAnalysis.data.filter(\n (row) => row.entity == variables.chartFocusParameters.filterEntity\n )\n : queries.trendAnalysis.data;\n\nfilteredData.forEach((item) => {\n const entity = item.entity;\n const monthYear = item.month_year;\n\n if (!aggregatedData[entity]) {\n aggregatedData[entity] = {\n x: [],\n y: [],\n stackgroup: \"one\",\n hovertemplate:\n \"<b>Date:</b> %{x}<br><b>Unique count of reviews:</b> %{y}<br>\",\n name: entity,\n mode: \"none\",\n showlegend: components.dropdown10.value,\n };\n order.push(entity);\n }\n\n if (!aggregatedData[entity].x.includes(monthYear)) {\n aggregatedData[entity].x.push(monthYear);\n aggregatedData[entity].y.push(item.total_reviews);\n } else {\n const index = aggregatedData[entity].x.indexOf(monthYear);\n aggregatedData[entity].y[index] = item.total_reviews;\n }\n});\n\nconst outputJSON = order.map((entity) => aggregatedData[entity]);\n\nreturn { data: outputJSON };",
"parameters": []
},
"dataSourceId": "2b6b24bd-4b0a-4f8e-bece-031f270864cd",
"appVersionId": "16c7b57d-3440-427c-b524-737103318986",
"createdAt": "2024-04-17T07:12:44.777Z",
"updatedAt": "2024-04-17T07:12:44.777Z"
},
{
"id": "1bffcdda-d8b7-4030-9bc8-efba16b44eb3",
"name": "getAllChartsData",
"options": {
"code": "actions.runQuery(\"chartReviewDistribution\");\nactions.runQuery(\"chartSentimentDistribution\");\nactions.runQuery(\"positivityTrend\");\nactions.runQuery(\"timeTrendAnalysis\");",
"parameters": []
},
"dataSourceId": "2b6b24bd-4b0a-4f8e-bece-031f270864cd",
"appVersionId": "16c7b57d-3440-427c-b524-737103318986",
"createdAt": "2024-04-17T07:12:44.777Z",
"updatedAt": "2024-04-17T07:12:44.777Z"
},
{
"id": "5261a0a6-00c6-40b6-b465-48af563e23cf",
"name": "runQueriesAfterFilterLoad",
"options": {
"code": "if (\n (variables?.filterDateAvailable ?? false) &&\n (variables?.filterBrandAvailable ?? false) &&\n (variables?.filterSourceAvailable ?? false) &&\n (variables?.filterRoaAvailable ?? false) &&\n (variables?.filterGenderAvailable ?? false)\n) {\n if (variables?.filterBrandAvailable ?? false) {\n queries.reviewDistribution.run();\n queries.trendAnalysis.run();\n }\n}",
"parameters": []
},
"dataSourceId": "2b6b24bd-4b0a-4f8e-bece-031f270864cd",
"appVersionId": "16c7b57d-3440-427c-b524-737103318986",
"createdAt": "2024-04-17T07:12:44.777Z",
"updatedAt": "2024-04-17T07:12:44.777Z"
},
{
"id": "03810df2-659e-4f7e-9a84-30c3a50aac25",
"name": "filterDate",
"options": {
"mode": "sql",
"transformationLanguage": "javascript",
"enableTransformation": true,
"query": "SELECT \n TO_CHAR(MIN(date_of_submission), 'DD/MM/YYYY') AS min_date, \n TO_CHAR(MAX(date_of_submission), 'DD/MM/YYYY') AS max_date \nFROM \n business_data;",
"runOnPageLoad": true,
"transformation": "return data[0];"
},
"dataSourceId": "737a1edf-9ced-46a6-9f05-b747f371ce5e",
"appVersionId": "16c7b57d-3440-427c-b524-737103318986",
"createdAt": "2024-04-17T07:12:44.777Z",
"updatedAt": "2024-05-03T06:25:03.265Z"
},
{
"id": "144e1c90-2fa9-4d6f-98cd-5e2b4690a85c",
"name": "filterGender",
"options": {
"mode": "sql",
"transformationLanguage": "javascript",
"enableTransformation": true,
"query": "SELECT DISTINCT LOWER(gender) AS lower_entity,\n INITCAP(gender) AS initcap_entity\nFROM business_data\nORDER BY lower_entity;",
"runOnPageLoad": true,
"transformation": "const labels = [];\nconst values = [];\ndata.forEach((row) => {\n labels.push(row.initcap_entity);\n values.push(row.lower_entity);\n});\n\nreturn { labels, values };"
},
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