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bea38d7200
* Add Data Model as entity * Add sample_data + update dashboard resource and repository with data models * Fix Java style * Addess PR comments * Update bootstrap/sql/com.mysql.cj.jdbc.Driver/v009__create_db_connection_info.sql * Pylint error * Address PR comments * Address PR comments * Address PR comments * Minor change * Fix error in sample_data * Fix failing test * Add missing resource and event sub descriptors
102 lines
4.2 KiB
JSON
102 lines
4.2 KiB
JSON
{
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"datamodels": [
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{
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"id": "e093dd27-390e-4360-8efd-e4d63ec167a9",
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"name": "103",
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"displayName": "Vaccine Candidates per Phase",
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"fullyQualifiedName": "sample_superset.model.103",
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"description": "Data of Vaccine Candidates per Phase",
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"version": 0.1,
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"updatedAt": 1638354087591,
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"dataModelType": "SupersetDataModel",
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"serviceType": "Superset",
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"sql": "SELECT CASE\n WHEN stage_of_development = 'Pre-clinical' THEN '0. Pre-clinical'\n WHEN stage_of_development = 'Phase I' THEN '1. Phase I'\n WHEN stage_of_development = 'Phase I/II'\n or stage_of_development = 'Phase II' THEN '2. Phase II or Combined I/II'\n WHEN stage_of_development = 'Phase III' THEN '3. Phase III'\n WHEN stage_of_development = 'Authorized' THEN '4. Authorized'\n END AS clinical_stage,\n COUNT(*) AS count\nFROM covid_vaccines\nGROUP BY CASE\n WHEN stage_of_development = 'Pre-clinical' THEN '0. Pre-clinical'\n WHEN stage_of_development = 'Phase I' THEN '1. Phase I'\n WHEN stage_of_development = 'Phase I/II'\n or stage_of_development = 'Phase II' THEN '2. Phase II or Combined I/II'\n WHEN stage_of_development = 'Phase III' THEN '3. Phase III'\n WHEN stage_of_development = 'Authorized' THEN '4. Authorized'\n END\nORDER BY count DESC\nLIMIT 10000\nOFFSET 0;\n",
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"columns": [
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{
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"name": "0. Pre-clinical",
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"dataType": "NUMERIC",
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"dataTypeDisplay": "numeric",
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"description": "Vaccine Candidates in phase: 'Pre-clinical'",
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"tags": [],
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"ordinalPosition": 1
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},
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{
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"name": "2. Phase II or Combined I/II",
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"dataType": "NUMERIC",
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"dataTypeDisplay": "numeric",
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"description": "Vaccine Candidates in phase: 'Phase II or Combined I/II'",
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"tags": [],
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"ordinalPosition": 2
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},
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{
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"name": "1. Phase I",
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"dataType": "NUMERIC",
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"dataTypeDisplay": "numeric",
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"description": "Vaccine Candidates in phase: 'Phase I'",
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"tags": [],
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"ordinalPosition": 3
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},
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{
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"name": "3. Phase III",
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"dataType": "NUMERIC",
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"dataTypeDisplay": "numeric",
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"description": "Vaccine Candidates in phase: 'Phase III'",
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"tags": [],
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"ordinalPosition": 4
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},
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{
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"name": "4. Authorized",
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"dataType": "NUMERIC",
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"dataTypeDisplay": "numeric",
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"description": "Vaccine Candidates in phase: 'Authorize'",
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"tags": [],
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"ordinalPosition": 5
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}
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],
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"tags": [],
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"followers": []
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},
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{
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"id": "5bab1ca3-7a22-4f21-9b34-e2c44dee1af6",
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"name": "73",
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"displayName": "Vaccine Candidates per Country",
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"fullyQualifiedName": "sample_superset.model.73",
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"description": "Data of Vaccine Candidates per Country",
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"version": 0.1,
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"updatedAt": 1638354087591,
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"dataModelType": "SupersetDataModel",
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"serviceType": "Superset",
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"sql": "SELECT country_name AS country_name,\n COUNT(*) AS count,\n count(country_name) AS \"COUNT(Country_Name)\"\nFROM covid_vaccines\nGROUP BY country_name\nLIMIT 10000\nOFFSET 0;",
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"columns": [
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{
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"name": "country_name",
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"dataType": "VARCHAR",
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"dataTypeDisplay": "varchar",
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"dataLength": 256,
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"description": "Name of the country.",
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"tags": [],
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"ordinalPosition": 1
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},
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{
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"name": "count",
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"dataType": "NUMERIC",
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"dataTypeDisplay": "numeric",
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"description": "Total number of vaccine candidates per country.",
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"tags": [],
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"ordinalPosition": 2
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},
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{
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"name": "COUNT(Country_Name)",
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"dataType": "NUMERIC",
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"dataTypeDisplay": "numeric",
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"description": "Total number of vaccine candidates.",
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"tags": [],
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"ordinalPosition": 3
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}
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],
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"tags": [],
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"followers": []
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}
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]
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}
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