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feat: initial commit

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This commit is contained in:
Thom Lamb
2026-06-23 11:18:54 -05:00
parent fc3ce9a074
commit 1bb980f070
790 changed files with 149255 additions and 218 deletions
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loadTest/docker/testRunner/runBestPractice.ps1
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docker-compose -f ../docker-compose.yml run --rm k6 run /testRunner/scripts/run.js -e PIVOT_FILE=BestPracticeWorkbook/PatientTypeValidation.json*BestPracticeWorkbook/YOYPatientType.json*BestPracticeWorkbook/OverviewDashboard/CasesByServiceLine.json*BestPracticeWorkbook/OverviewDashboard/FixedDirectCostByYear.json*BestPracticeWorkbook/OverviewDashboard/ServiceLineActualVsExpected.json*BestPracticeWorkbook/OverviewDashboard/YOYCM.json*BestPracticeWorkbook/OverviewDashboard/YOYNetRevenue.json*BestPracticeWorkbook/OverviewDashboard/YOYTotalCosts.json --out=influxdb=http://influxdb:8086/k6
loadTest/docker/testRunner/runDummyTest.sh
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docker-compose -f ../docker-compose.yml run --rm k6 run /testRunner/scripts/dummyTest.mjs
loadTest/docker/testRunner/runTests.sh
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docker-compose -f ../docker-compose.yml run --rm k6 run /testRunner/scripts/runTests.js -e PIVOT_FILE=OrthopedicCosts.json*PatientTypeValidation.json*ServiceLineYOY.json*YOYPatientType.json*CasesByServiceLineAndCM.json*GrossRevenueByServiceLine.json --out=influxdb=http://influxdb:8086/k6
loadTest/docker/testRunner/runTestsBU.sh
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sudo docker-compose -f ../docker/docker-compose.yml run --rm k6 run /testRunner/scripts/run.js -e PIVOT_FILE=StagingIncomeStatement1.json*StagingIncomeStatement2.json*StagingIncomeStatement3.json*StagingExpandablePivot1.json --out=influxdb=http://influxdb:8086/k6
loadTest/docker/testRunner/scripts/dummyTest.mjs
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import http from 'k6/http';
import { sleep } from 'k6';
export default function () {
http.get('https://test.k6.io');
sleep(1);
}
loadTest/docker/testRunner/scripts/runTests.js
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let k6 = require("k6");
let utils = require("./utils.js");
let modules = [];
let datas = [];
let splitFiles = __ENV.PIVOT_FILE.split("*");
for (let i = 0; i < splitFiles.length; i++) {
let file = "/testRunner/tests/BestPracticeWorkbook/" + splitFiles[i];
let fileText = "";
if (!String(file).endsWith(".json")) {
modules[file] = require(file);
} else {
fileText = open(file).replace(/(\r\n|\n|\r)/gm, "");
}
datas.push({ fileName: file, text: fileText });
}
module.exports.options = {
teardownTimeout: "2m0s",
stages: [
// { duration: "0m0s", target: 1 },
// { duration: "0m10s", target: 1 },
// { duration: "0m0s", target: 5 },
// { duration: "3m0s", target: 5 },
// { duration: "0m0s", target: 10 },
// { duration: "3m0s", target: 10 },
// { duration: "0m0s", target: 20 },
// { duration: "3m0s", target: 20 },
// { duration: "0m0s", target: 30 },
// { duration: "3m0s", target: 30},
// { duration: "0m0s", target: 40 },
// { duration: "3m0s", target: 40 },
// { duration: "0m0s", target: 50 },
// { duration: "3m0s", target: 50 },
// { duration: "0m0s", target: 75 },
// { duration: "5m0s", target: 75 },
// { duration: "0m0s", target: 100 },
// { duration: "5m0s", target: 100 },
// { duration: "0m0s", target: 150 },
// { duration: "5m0s", target: 150 },
// { duration: "0m0s", target: 200 },
// { duration: "5m0s", target: 200 },
// { duration: "0m0s", target: 250 },
// { duration: "5m0s", target: 250 },
// { duration: "0m0s", target: 300 },
// { duration: "5m0s", target: 300 },
// { duration: "0m0s", target: 350 },
// { duration: "5m0s", target: 350 },
{ duration: "0m0s", target: 450 },
{ duration: "5m0s", target: 450 },
{ duration: "0m0s", target: 550 },
{ duration: "5m0s", target: 550 },
{ duration: "0m0s", target: 650 },
{ duration: "5m0s", target: 650 },
{ duration: "0m0s", target: 750 },
{ duration: "5m0s", target: 750 },
{ duration: "0m0s", target: 850 },
{ duration: "5m0s", target: 850 },
{ duration: "0m0s", target: 1000 },
{ duration: "5m0s", target: 1000 },
{ duration: "0m0s", target: 1500 },
{ duration: "5m0s", target: 1500 },
{ duration: "0m0s", target: 2000 },
{ duration: "5m0s", target: 2000 },
],
};
export function setup() {
console.log("setting up token");
return utils.generateToken();
}
module.exports.default = function run(token) {
let clone = [];
Object.assign(clone, datas);
while (clone.length > 0) {
let ran = Math.floor(Math.random() * clone.length);
let currentItems = clone.splice(ran, Math.floor(Math.random() * 3 + 1));
k6.sleep(Math.round(Math.random() * 20 + 1));
for (let i = 0; i < currentItems.length; i++) {
k6.group(currentItems[i].fileName.substring(7), function () {
utils.runHttp(currentItems[i], token);
});
}
}
}
loadTest/docker/testRunner/scripts/utils.js
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const http = require("k6/http");
const isLogging = false;
export function runHttp(jsonBlob, token) {
let response;
if (isLogging) console.log("running file: ", jsonBlob.fileName)
let json = JSON.stringify(jsonBlob.text);
const startDay = Math.floor(Math.random() * 30) + 1;
const endDay = Math.floor(Math.random() * 30) + 1;
json = json.replace("{startDay}", startDay);
json = json.replace("{endDay}", endDay);
json = JSON.parse(json);
response = http.post(
'https://analytics-api-perf.dev.stratanetwork.net/api/v1/data-sources/1307/query',
json,
{
headers: {
authorization: `Bearer ${token}`,
Accept: '*/*',
"Accept-Encoding": "gzip, deflate, br",
"Clientappname": 'strata-analytics',
'content-type': 'application/json',
'sec-ch-ua': '"Google Chrome";v="113", "Chromium";v="113", "Not-A.Brand";v="24"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
},
}
)
if(response.status !== 200) console.log("endpoint failed", jsonBlob.fileName);
else if (isLogging) console.log("success: ", jsonBlob.fileName);
}
export function generateToken() {
const url = "https://identity.dev.stratanetwork.net";
const username = `perf1`;
const password = "Password1";
const dbguid = 'b8018250-af34-403e-bdcc-1770714042b2';
// token
const tokenUrl = url + "/connect/token";
const body = {
database_guid: dbguid,
grant_type: 'password',
username: username,
password: password,
scope: 'strata.api.external offline_access',
client_id: 'IntegrationTest',
client_secret: 'UhAEQsGByTCrwPdHPLmaet_DmLEfcJVbZqGBxArdeRup_TPLrYKNpUNRHejjdnhd',
};
const params = {
headers: {
'content-type': 'application/x-www-form-urlencoded',
'sec-ch-ua': '"Google Chrome";v="113", "Chromium";v="113", "Not-A.Brand";v="24"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
}
};
const response = http.post(tokenUrl, body, params);
if (response.status !== 200) {
if (isLogging) console.log("error getting token: ", response);
return false
};
const token = JSON.parse(response.body).access_token;
if (isLogging) console.log("success getting token! access token: ", token);
return token;
}
loadTest/docker/testRunner/tests/BestPracticeWorkbook/BestPracticeWorkbook.mjs
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loadTest/docker/testRunner/tests/BestPracticeWorkbook/CasesByServiceLineAndCM.json
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{
"rows": [
{
"name": "Rollup",
"dataColumnId": 575222,
"columnAlias": "ROLLUP_B16G7",
"sortDirection": "asc"
}
],
"values": [
{
"name": "0-17_Encounter Record Number",
"dataColumnId": 585958,
"calculationDataColumnIds": [
585958
],
"aliasedIds": [
"585958"
],
"columnAlias": "PIVOT_ENCOUNTERRECORDNUMBER_MFUF8_0",
"groupValueIndex": 0,
"groupId": "NQ6DZ",
"valueId": "U8KU2",
"calculation": "count(distinct [585958])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": [
{
"id": "JE94H",
"dataMartId": 1307,
"name": "Rollup",
"dataColumnName": "Rollup",
"dataColumnId": 527444,
"sqlColumnName": "ROLLUP_HXIUV",
"columnType": "text",
"values": [
"0-17"
],
"conditions": [],
"filterType": "list",
"listUseNotIn": false,
"datePart": "year",
"dateTimeFrameOffset": 0,
"dateTimeFrameOffsetDisplay": 0,
"dateTimeFrameCount": 0,
"dateTimeFrameCountDisplay": 0,
"isCustom": false,
"relatedDataColumnIds": [],
"aliasedDataColumnIds": [
"585958"
]
}
]
}
]
},
{
"name": "18-64_Encounter Record Number",
"dataColumnId": 585958,
"calculationDataColumnIds": [
585958
],
"aliasedIds": [
"585958"
],
"columnAlias": "PIVOT_ENCOUNTERRECORDNUMBER_MFUF8_1",
"groupValueIndex": 1,
"groupId": "NQ6DZ",
"valueId": "U8KU2",
"calculation": "count(distinct [585958])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": [
{
"id": "JE94H",
"dataMartId": 1307,
"name": "Rollup",
"dataColumnName": "Rollup",
"dataColumnId": 527444,
"sqlColumnName": "ROLLUP_HXIUV",
"columnType": "text",
"values": [
"18-64"
],
"conditions": [],
"filterType": "list",
"listUseNotIn": false,
"datePart": "year",
"dateTimeFrameOffset": 0,
"dateTimeFrameOffsetDisplay": 0,
"dateTimeFrameCount": 0,
"dateTimeFrameCountDisplay": 0,
"isCustom": false,
"relatedDataColumnIds": [],
"aliasedDataColumnIds": [
"585958"
]
}
]
}
]
},
{
"name": "65 and Over_Encounter Record Number",
"dataColumnId": 585958,
"calculationDataColumnIds": [
585958
],
"aliasedIds": [
"585958"
],
"columnAlias": "PIVOT_ENCOUNTERRECORDNUMBER_MFUF8_2",
"groupValueIndex": 2,
"groupId": "NQ6DZ",
"valueId": "U8KU2",
"calculation": "count(distinct [585958])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": [
{
"id": "JE94H",
"dataMartId": 1307,
"name": "Rollup",
"dataColumnName": "Rollup",
"dataColumnId": 527444,
"sqlColumnName": "ROLLUP_HXIUV",
"columnType": "text",
"values": [
"65 and Over"
],
"conditions": [],
"filterType": "list",
"listUseNotIn": false,
"datePart": "year",
"dateTimeFrameOffset": 0,
"dateTimeFrameOffsetDisplay": 0,
"dateTimeFrameCount": 0,
"dateTimeFrameCountDisplay": 0,
"isCustom": false,
"relatedDataColumnIds": [],
"aliasedDataColumnIds": [
"585958"
]
}
]
}
]
}
],
"warnings": [],
"filterGroups": [
{
"logicalOperator": "and",
"filters": [
{
"id": "DCCKX",
"dataMartId": 1307,
"name": "Calendar Date Time",
"dataColumnName": "Calendar Date Time",
"dataColumnId": 539377,
"sqlColumnName": "CALENDARDATETIME_3Z5DS",
"columnType": "date",
"values": [
"01/{startDay}/2018",
"01/{endDay}/2020"
],
"conditions": [],
"filterType": "calendar",
"listUseNotIn": false,
"datePart": "year",
"dateTimeFrameOffset": 0,
"dateTimeFrameOffsetDisplay": 0,
"dateTimeFrameCount": 0,
"dateTimeFrameCountDisplay": 0,
"isCustom": false,
"relatedDataColumnIds": [
539377
]
}
]
}
],
"withTotals": true,
"rowLimit": 10000
}
loadTest/docker/testRunner/tests/BestPracticeWorkbook/GrossRevenueByServiceLine.json
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{
"rows": [
{
"name": "Rollup",
"dataColumnId": 575222,
"columnAlias": "ROLLUP_85QAA",
"sortDirection": "asc"
}
],
"values": [
{
"name": "01-2019_Net Revenue",
"dataColumnId": 586760,
"calculationDataColumnIds": [
586760
],
"aliasedIds": [
"586760"
],
"columnAlias": "PIVOT_NETREVENUE_CIY57_0",
"groupValueIndex": 0,
"groupId": "TMOS9",
"valueId": "WJ6BD",
"calculation": "sum([586760])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": [
{
"id": "NE3DE",
"dataMartId": 1307,
"name": "Calendar Date Time",
"dataColumnName": "Calendar Date Time",
"dataColumnId": 539377,
"sqlColumnName": "CALENDARDATETIME_OL9IX",
"columnType": "date",
"values": [
"01-2019"
],
"conditions": [],
"filterType": "list",
"listUseNotIn": false,
"datePart": "month",
"dateTimeFrameOffset": 0,
"dateTimeFrameOffsetDisplay": 0,
"dateTimeFrameCount": 0,
"dateTimeFrameCountDisplay": 0,
"isCustom": false,
"relatedDataColumnIds": [],
"aliasedDataColumnIds": [
"586760"
]
}
]
}
]
},
{
"name": "02-2019_Net Revenue",
"dataColumnId": 586760,
"calculationDataColumnIds": [
586760
],
"aliasedIds": [
"586760"
],
"columnAlias": "PIVOT_NETREVENUE_CIY57_1",
"groupValueIndex": 1,
"groupId": "TMOS9",
"valueId": "WJ6BD",
"calculation": "sum([586760])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": [
{
"id": "NE3DE",
"dataMartId": 1307,
"name": "Calendar Date Time",
"dataColumnName": "Calendar Date Time",
"dataColumnId": 539377,
"sqlColumnName": "CALENDARDATETIME_OL9IX",
"columnType": "date",
"values": [
"02-2019"
],
"conditions": [],
"filterType": "list",
"listUseNotIn": false,
"datePart": "month",
"dateTimeFrameOffset": 0,
"dateTimeFrameOffsetDisplay": 0,
"dateTimeFrameCount": 0,
"dateTimeFrameCountDisplay": 0,
"isCustom": false,
"relatedDataColumnIds": [],
"aliasedDataColumnIds": [
"586760"
]
}
]
}
]
},
{
"name": "03-2019_Net Revenue",
"dataColumnId": 586760,
"calculationDataColumnIds": [
586760
],
"aliasedIds": [
"586760"
],
"columnAlias": "PIVOT_NETREVENUE_CIY57_2",
"groupValueIndex": 2,
"groupId": "TMOS9",
"valueId": "WJ6BD",
"calculation": "sum([586760])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": [
{
"id": "NE3DE",
"dataMartId": 1307,
"name": "Calendar Date Time",
"dataColumnName": "Calendar Date Time",
"dataColumnId": 539377,
"sqlColumnName": "CALENDARDATETIME_OL9IX",
"columnType": "date",
"values": [
"03-2019"
],
"conditions": [],
"filterType": "list",
"listUseNotIn": false,
"datePart": "month",
"dateTimeFrameOffset": 0,
"dateTimeFrameOffsetDisplay": 0,
"dateTimeFrameCount": 0,
"dateTimeFrameCountDisplay": 0,
"isCustom": false,
"relatedDataColumnIds": [],
"aliasedDataColumnIds": [
"586760"
]
}
]
}
]
},
{
"name": "04-2019_Net Revenue",
"dataColumnId": 586760,
"calculationDataColumnIds": [
586760
],
"aliasedIds": [
"586760"
],
"columnAlias": "PIVOT_NETREVENUE_CIY57_3",
"groupValueIndex": 3,
"groupId": "TMOS9",
"valueId": "WJ6BD",
"calculation": "sum([586760])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": [
{
"id": "NE3DE",
"dataMartId": 1307,
"name": "Calendar Date Time",
"dataColumnName": "Calendar Date Time",
"dataColumnId": 539377,
"sqlColumnName": "CALENDARDATETIME_OL9IX",
"columnType": "date",
"values": [
"04-2019"
],
"conditions": [],
"filterType": "list",
"listUseNotIn": false,
"datePart": "month",
"dateTimeFrameOffset": 0,
"dateTimeFrameOffsetDisplay": 0,
"dateTimeFrameCount": 0,
"dateTimeFrameCountDisplay": 0,
"isCustom": false,
"relatedDataColumnIds": [],
"aliasedDataColumnIds": [
"586760"
]
}
]
}
]
},
{
"name": "05-2019_Net Revenue",
"dataColumnId": 586760,
"calculationDataColumnIds": [
586760
],
"aliasedIds": [
"586760"
],
"columnAlias": "PIVOT_NETREVENUE_CIY57_4",
"groupValueIndex": 4,
"groupId": "TMOS9",
"valueId": "WJ6BD",
"calculation": "sum([586760])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": [
{
"id": "NE3DE",
"dataMartId": 1307,
"name": "Calendar Date Time",
"dataColumnName": "Calendar Date Time",
"dataColumnId": 539377,
"sqlColumnName": "CALENDARDATETIME_OL9IX",
"columnType": "date",
"values": [
"05-2019"
],
"conditions": [],
"filterType": "list",
"listUseNotIn": false,
"datePart": "month",
"dateTimeFrameOffset": 0,
"dateTimeFrameOffsetDisplay": 0,
"dateTimeFrameCount": 0,
"dateTimeFrameCountDisplay": 0,
"isCustom": false,
"relatedDataColumnIds": [],
"aliasedDataColumnIds": [
"586760"
]
}
]
}
]
},
{
"name": "06-2019_Net Revenue",
"dataColumnId": 586760,
"calculationDataColumnIds": [
586760
],
"aliasedIds": [
"586760"
],
"columnAlias": "PIVOT_NETREVENUE_CIY57_5",
"groupValueIndex": 5,
"groupId": "TMOS9",
"valueId": "WJ6BD",
"calculation": "sum([586760])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": [
{
"id": "NE3DE",
"dataMartId": 1307,
"name": "Calendar Date Time",
"dataColumnName": "Calendar Date Time",
"dataColumnId": 539377,
"sqlColumnName": "CALENDARDATETIME_OL9IX",
"columnType": "date",
"values": [
"06-2019"
],
"conditions": [],
"filterType": "list",
"listUseNotIn": false,
"datePart": "month",
"dateTimeFrameOffset": 0,
"dateTimeFrameOffsetDisplay": 0,
"dateTimeFrameCount": 0,
"dateTimeFrameCountDisplay": 0,
"isCustom": false,
"relatedDataColumnIds": [],
"aliasedDataColumnIds": [
"586760"
]
}
]
}
]
}
],
"warnings": [],
"filterGroups": [
{
"logicalOperator": "and",
"filters": []
}
],
"withTotals": true,
"rowLimit": 10000
}
loadTest/docker/testRunner/tests/BestPracticeWorkbook/OrthopedicCosts.json
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{
"rows": [
{
"name": "Rollup",
"dataColumnId": 575222,
"columnAlias": "ROLLUP_VX6NF",
"sortDirection": "asc"
},
{
"name": "Case Mix Group",
"dataColumnId": 530020,
"columnAlias": "NAME_D6Y37",
"sortDirection": "asc"
},
{
"name": "Encounter Record Number",
"dataColumnId": 562870,
"columnAlias": "ENCOUNTERRECORDNUMBER_8TTDW",
"sortDirection": "asc"
}
],
"values": [
{
"name": "Total Charges",
"dataColumnId": 586855,
"calculationDataColumnIds": [
586855
],
"aliasedIds": [
"586855"
],
"columnAlias": "VALUE_TOTALCHARGES_VAB3W_0",
"groupId": "FHCM9",
"valueId": "7HYFA",
"calculation": "sum([586855])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": []
}
]
},
{
"name": "Total Costs",
"dataColumnId": 586856,
"calculationDataColumnIds": [
586856
],
"aliasedIds": [
"586856"
],
"columnAlias": "VALUE_TOTALCOSTS_64PFM_1",
"groupId": "FHCM9",
"valueId": "UV541",
"calculation": "sum([586856])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": []
}
]
},
{
"name": "Net Revenue",
"dataColumnId": 586760,
"calculationDataColumnIds": [
586760
],
"aliasedIds": [
"586760"
],
"columnAlias": "VALUE_NETREVENUE_LTUVC_2",
"groupId": "FHCM9",
"valueId": "1QKYV",
"calculation": "sum([586760])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": []
}
]
}
],
"warnings": [],
"filterGroups": [
{
"logicalOperator": "and",
"filters": [
{
"id": "T47AV",
"dataMartId": 1307,
"name": "Rollup",
"dataColumnName": "Rollup",
"dataColumnId": 575222,
"sqlColumnName": "ROLLUP_ET1NC",
"columnType": "text",
"values": [
"Orthopedics"
],
"conditions": [],
"filterType": "list",
"listUseNotIn": false,
"datePart": "year",
"dateTimeFrameOffset": 0,
"dateTimeFrameOffsetDisplay": 0,
"dateTimeFrameCount": 0,
"dateTimeFrameCountDisplay": 0,
"isCustom": false,
"relatedDataColumnIds": []
},
{
"id": "KPL54",
"dataMartId": 1307,
"name": "Calendar Date Time",
"dataColumnName": "Calendar Date Time",
"dataColumnId": 539377,
"sqlColumnName": "CALENDARDATETIME_Q3UU2",
"columnType": "date",
"values": [
"01/{startDay}/2019",
"01/{endDay}/2023"
],
"conditions": [],
"filterType": "calendar",
"listUseNotIn": false,
"datePart": "year",
"dateTimeFrameOffset": 0,
"dateTimeFrameOffsetDisplay": 0,
"dateTimeFrameCount": 0,
"dateTimeFrameCountDisplay": 0,
"isCustom": false,
"relatedDataColumnIds": [
539377
]
}
]
}
],
"withTotals": true,
"rowLimit": 10000
}
loadTest/docker/testRunner/tests/BestPracticeWorkbook/OverviewDashboard/CasesByServiceLine.json
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{
"rows": [
{
"dataColumnId": 575222,
"columnAlias": "ROLLUP_OYJKZ",
"sortDirection": "asc"
}
],
"values": [
{
"dataColumnId": 585958,
"calculationDataColumnIds": [
585958
],
"aliasedIds": [
"585958"
],
"columnAlias": "ENCOUNTERRECORDNUMBER_HYOWJ",
"calculation": "count(distinct [585958])",
"filterGroups": [
{
"logicalOperator": "and",
"filters": []
}
]
}
],
"filterGroups": [
{
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loadTest/docker/testRunner/tests/BestPracticeWorkbook/OverviewDashboard/ChargesByServiceLine.json
+114
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loadTest/docker/testRunner/tests/BestPracticeWorkbook/OverviewDashboard/FixedDirectCostByYear.json
+88
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@@ -0,0 +1,88 @@
{
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loadTest/docker/testRunner/tests/BestPracticeWorkbook/OverviewDashboard/ServiceLineActualVsExpected.json
+79
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@@ -0,0 +1,79 @@
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loadTest/docker/testRunner/tests/BestPracticeWorkbook/OverviewDashboard/YOYCM.json
+131
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loadTest/docker/testRunner/tests/BestPracticeWorkbook/OverviewDashboard/YOYNetRevenue.json
+125
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@@ -0,0 +1,125 @@
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loadTest/docker/testRunner/tests/BestPracticeWorkbook/OverviewDashboard/YOYTotalCosts.json
+125
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@@ -0,0 +1,125 @@
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loadTest/docker/testRunner/tests/BestPracticeWorkbook/PatientTypeValidation.json
+107
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@@ -0,0 +1,107 @@
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loadTest/docker/testRunner/tests/BestPracticeWorkbook/ServiceLineYOY.json
+329
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@@ -0,0 +1,329 @@
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}
loadTest/docker/testRunner/tests/BestPracticeWorkbook/YOYPatientType.json
+329
View File
@@ -0,0 +1,329 @@
{
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{
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loadTest/docker/testRunner/tests/PivotERN.json
+1
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