Access the Argo CD Dashboard for Deployment Management:
Find the vets-api-web
node and start the Rails console with:
const data = { | |
expenses: { | |
expenseRecords: [ | |
{ name: 'Rent', amount: '2000' }, | |
{ name: "Renter's or home insurance", amount: '34' }, | |
{ name: 'Mortgage payment', amount: '435' }, | |
{ name: 'Property tax', amount: '345' }, | |
], | |
creditCardBills: [ |
/** | |
* @fileoverview This module provides functionality to retrieve GMT (Geographical Mean Test) thresholds. | |
* It supports fetching data from production, staging, or using mock data based on configuration toggles. | |
*/ | |
import * as Sentry from '@sentry/browser'; | |
import { apiRequest } from 'platform/utilities/api'; | |
import environment from 'platform/utilities/environment'; | |
// Constants used for calculating thresholds |
Access the Argo CD Dashboard for Deployment Management:
Find the vets-api-web
node and start the Rails console with:
// add data |
File Path | Event Name | Additional Properties |
---|---|---|
src/applications/combined-debt-portal/combined/routes.jsx | cta-link-click-enter-mcp | { } |
src/applications/combined-debt-portal/combined/routes.jsx | cta-link-click-enter-ltr | { } |
{ | |
"debtDetails": { | |
"type": "Post-9/11 GI Bill debt for books and supplies", | |
"status": "fully paid off", | |
"currentBalance": "$0.00", | |
"originalOverpayment": "$200.00", | |
"totalPaid": "$230.00", | |
"totalFeesInterest": "$30.00", | |
"lastPaymentDate": "June 8, 2020", | |
"nextPaymentDue": "N/A" |
21:56:06 web.1 | I am PARAMS!!!! {"personal_identification"=>{"ssn"=>"3018", "file_number"=>"3018", "fsr_reason"=>""}, "personal_data"=>{"veteran_full_name"=>{"first"=>"Travis", "middle"=>"D", "last"=>"Jones"}, "address"=>{"addressline_one"=>"1200 Park Ave", "addressline_two"=>"c/o Pixar", "addressline_three"=>"", "city"=>"Emeryville", "state_or_province"=>"CA", "zip_or_postal_code"=>"94608", "country_name"=>"US"}, "telephone_number"=>"(510) 922-4444", "date_of_birth"=>"09/06/1950", "married"=>false, "spouse_full_name"=>{"first"=>"", "middle"=>"", "last"=>""}, "ages_of_other_dependents"=>[], "employment_history"=>[{"veteran_or_spouse"=>"VETERAN", "occupation_name"=>"Full time", "from"=>"01/2020", "to"=>"", "present"=>true, "employer_name"=>"Testing", "employer_address"=>{"addressline_one"=>"", "addressline_two"=>"", "addressline_three"=>"", "city"=>"", "state_or_province"=>"", "zip_or_postal_code"=>"", "country_name"=>""}}]}, "income"=>[{"veteran_or_spouse"=>"VETERAN", "monthly_gross_salary"=>"5366.66", "ded |
{ | |
"personalIdentification": { | |
"ssn": "3018", | |
"fileNumber": "3018", | |
"fsrReason": "Waiver" | |
}, | |
"personalData": { | |
"veteranFullName": { | |
"first": "Travis", | |
"middle": "D", |
{ | |
"questions": { | |
"hasRepayments": true, | |
"hasCreditCardBills": true, | |
"hasRecreationalVehicle": true, | |
"hasVehicle": true, | |
"hasRealEstate": true, | |
"spouseHasBenefits": true, | |
"isMarried": true, | |
"hasDependents": "2", |
This tool allows you to generate hundreds of dress design variations using Stable Diffusion's image-to-image capabilities running locally on your PC.
This setup uses the Automatic1111 WebUI for Stable Diffusion, which provides an easy-to-use API that our Python script will call to generate dress variations based on your input images.