[
  {
    "WorkflowName": "inputWorkflow",
    "Rules": [
      {
        "RuleName": "GiveDiscount10",
        "SuccessEvent": "10",
        "ErrorMessage": "One or more adjust rules failed, with loyalityFactor : $(model1.loyalityFactor), country : $(model1.country), totalPurchasesToDate : $(model1.totalPurchasesToDate), model2 : $(model2)",
        "ErrorType": "Error",
        "localParams": [
          {
            "Name": "model1",
            "Expression": "input1.FirstOrDefault(country.Equals(\"india\", StringComparison.OrdinalIgnoreCase))"
          },
          {
            "Name": "model2",
            "Expression": "model1.country == \"india\""
          }
        ],
        "RuleExpressionType": "LambdaExpression",
        "Expression": "model1.country == \"india\" AND model1.loyalityFactor <= 2 AND model1.totalPurchasesToDate >= 5000 AND model2"
      },
      {
        "RuleName": "GiveDiscount100",
        "SuccessEvent": "10",
        "ErrorType": "Error",
        "localParams": [
          {
            "Name": "model1",
            "Expression": "input1.FirstOrDefault(country.Equals(\"india\", StringComparison.OrdinalIgnoreCase))"
          },
          {
            "Name": "model2",
            "Expression": "model1.country == \"india\""
          }
        ],
        "RuleExpressionType": "LambdaExpression",
        "Expression": "model1.country == \"india\" AND model1.loyalityFactor < 0 AND model1.totalPurchasesToDate >= 5000 AND model2"
      },
      {
        "RuleName": "GiveDiscount25",
        "SuccessEvent": "25",
        "ErrorMessage": "One or more adjust rules failed, country : $(input4.country), loyalityFactor : $(input4.loyalityFactor), totalPurchasesToDate : $(input4.totalPurchasesToDate), totalOrders : $(input5.totalOrders), noOfVisitsPerMonth : $(input30.noOfVisitsPerMonth)",
        "ErrorType": "Error",
        "localParams": [
          {
            "Name": "model1",
            "Expression": "input1.FirstOrDefault(country.Equals(\"india\", StringComparison.OrdinalIgnoreCase))"
          },
          {
            "Name": "model2",
            "Expression": "model1.country == \"india\""
          }
        ],
        "RuleExpressionType": "LambdaExpression",
        "Expression": "input4.country == \"india\" AND input4.loyalityFactor >= 2 AND input4.totalPurchasesToDate <= 10 AND input5.totalOrders > 2 AND input3.noOfVisitsPerMonth > 5"
      },
      {
        "RuleName": "GiveDiscount30",
        "SuccessEvent": "30",
        "ErrorMessage": "One or more adjust rules failed.",
        "ErrorType": "Error",
        "RuleExpressionType": "LambdaExpression",
        "Expression": "input4.loyalityFactor > 30 AND input4.totalPurchasesToDate >= 50000 AND input4.totalPurchasesToDate <= 100000 AND input5.totalOrders > 5 AND input3.noOfVisitsPerMonth > 15"
      },
      {
        "RuleName": "GiveDiscount35",
        "SuccessEvent": "35",
        "ErrorMessage": "One or more adjust rules failed, totalPurchasesToDate : $(input4.totalPurchasesToDate), totalOrders : $(input5.totalOrders)",
        "ErrorType": "Error",
        "RuleExpressionType": "LambdaExpression",
        "Expression": "input4.loyalityFactor > 30 AND input4.totalPurchasesToDate >= 100000 AND input5.totalOrders > 15 AND input3.noOfVisitsPerMonth > 25"
      }
    ]
  }
]