link the Exercise.tsx with the placementtest page

.codecatalyst/workflows/DeployToProd.yaml

@@ -1,4 +1,6 @@
 Name: DeployToProd
+Compute:
+  Type: EC2
 SchemaVersion: "1.0"
 
 # Optional - Set automatic triggers.
@@ -30,12 +32,13 @@ Actions:
         - Run: chmod +x ./.codecatalyst/scripts/sst_deploy.sh
         - Run: ./.codecatalyst/scripts/sst_deploy.sh
       Container:
-        Registry: ECR
-        Image: 297940647071.dkr.ecr.us-west-2.amazonaws.com/codecatalyst-support:amazonlinux23withgit-1.2.0-7
+        Registry: CODECATALYST
+        Image: CodeCatalystLinux_x86_64:2024_03
     Compute:
       Type: EC2
+      Fleet: Linux.x86-64.Large
     Environment:
       Connections:
-        - Role: CodeCatalystWorkflowDevelopmentRole-AWS-CIC-23-24-Test
-          Name: "888641773886"
+        - Role: CodeCatalystWorkflowDevelopmentRole-moe-ielts-phase2
+          Name: "664418980468"
       Name: Prod

QuestionScript/challengesDynamoFiller.py

@@ -6,7 +6,7 @@
 
 TransactItemss = [] # List of items to be added to the table
 indexes = {} # Dictionary to store the indexes of the questions which contains the list of sort keys of the questions for each type
-TableName = 'ahmed-codecatalyst-sst-app-Records'   # Channge the table name
+TableName = 'prod-codecatalyst-sst-app-Records'   # Channge the table name
 QuestionTypes = ["challenge-B2-writing", "challenge-B2-reading", "challenge-B2-listening", "challenge-B2-speaking"]
 
 questions = json.loads(open("./questionsNew.json", "r", encoding="utf8").read())

QuestionScript/dynamodbFiller.py

@@ -6,7 +6,7 @@
 
 TransactItemss = [] # List of items to be added to the table
 indexes = {} # Dictionary to store the indexes of the questions which contains the list of sort keys of the questions for each type
-TableName = 'mahawaj-codecatalyst-sst-app-Records'   # Channge the table name
+TableName = 'prod-codecatalyst-sst-app-Records'   # Channge the table name
 QuestionTypes = ["writing", "reading", "listening", "speaking"]
 
 questions = json.loads(open("./questionsNew.json", "r", encoding="utf8").read())