tpmkms/common/rates.instance.json

Reusable libraries for Entodicton, a natural language to json converter

{
  "configs": [
    {
      "operators": [
        "((context.dimension != undefined) [unitPerUnit|per] (context.dimension != undefined))"
      ],
      "bridges": [
        {
          "id": "unitPerUnit",
          "before": [
            "amountOfCoordinate"
          ],
          "isA": [
            "unit"
          ],
          "bridge": "{ \n            ...operator, \n            numerator: before[0], \n            denominator: after[0],\n            interpolate: [{ property: 'numerator', context: { number: 'many' } }, { context: operator }, { property: 'denominator' }] \n          }",
          "enhanced_associations": true
        }
      ],
      "semantics": [
        {
          "match": "({context}) => context.marker == 'convertToUnits' && context.evaluate && (context.from?.unit?.marker == 'unitPerUnit' || context.to.marker == 'unitPerUnit')",
          "apply": "async ({remember, context, kms, e, callId, resolveEvaluate, toEValue, error}) => {\n\n            async function convert(fromUnits, fromAmount, toUnits) {\n              let evalue;\n              if (toUnits.value == fromUnits.value) {\n                evalue = fromAmount\n                // if (!fromAmount.value) {\n                //  debugger\n                //}\n                evalue.evalue = fromAmount.evalue || fromAmount.value\n              } else {\n                const formula = kms.formulas.api.get(toUnits, [fromUnits])\n                if (!formula) {\n                  const reason = { marker: 'reason', focusableForPhrase: true, evalue: { marker: 'noconversion', from: fromUnits, to: toUnits } }\n                  kms.stm.api.remember({ context: reason })\n                  error(reason)\n                }\n                kms.stm.api.setVariable(fromUnits.value, fromAmount)\n                evalue = await e(formula)\n              }\n              return evalue\n            }\n\n            if (!context.from.unit) {\n              resolveEvaluate(context.from, await e(context.from))\n            }\n\n\n            const from = toEValue(context.from)\n            remember(context.to)\n            const evalueNumerator = await convert(from.unit.numerator, from.amount, context.to.numerator)\n            const evalueDenominator = await convert(from.unit.denominator, 1, context.to.denominator)\n            const evalue = { evalue: (toFinalValue(evalueNumerator) || evalueNumerator.value) / (toFinalValue(evalueDenominator) || evalueDenominator.evalue) }\n            context.evalue = {\n              paraphrase: true,\n              marker: 'quantity',\n              level: 1,\n              unit: context.to,\n              amount: { evalue, paraphrase: undefined }\n            }\n          }"
        }
      ]
    }
  ],
  "resultss": [
    {
      "extraConfig": true,
      "operators": [
        "((context.dimension != undefined) [unitPerUnit|per] (context.dimension != undefined))"
      ],
      "bridges": [
        {
          "id": "unitPerUnit",
          "before": [
            "amountOfCoordinate"
          ],
          "isA": [
            "unit"
          ],
          "bridge": "{ \n            ...operator, \n            numerator: before[0], \n            denominator: after[0],\n            interpolate: [{ property: 'numerator', context: { number: 'many' } }, { context: operator }, { property: 'denominator' }] \n          }",
          "enhanced_associations": true
        }
      ],
      "semantics": [
        {
          "where": "/home/dev/code/theprogrammablemind/kms/common/rates.js:38"
        }
      ]
    }
  ],
  "fragments": [],
  "semantics": [],
  "associations": [],
  "summaries": [],
  "learned_contextual_priorities": []
}