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Point from 'esri/geometry/Point';\nimport SpatialReference from 'esri/SpatialReference';\nimport { esriQuery, esriIdentifyImageService } from 'js/utils/esriQueries';\nimport standardsConfig from 'js/standards.config';\n\nimport { Promise as bbPromise } from 'promise';\n\nimport { criteriaStore } from 'stores/CriteriaStore';\nimport { reportStore } from 'stores/ReportStore';\n\nconst generateCellValue = (value, measurement) => {\n  const mps = 0.44704;\n  if (value === 'NoData' || !value) {\n    return 'No Data';\n  } else {\n    return `Vt = ${Math.round(Number(measurement === 'si' ? value * mps : value))}`;\n  }\n};\n\nconst queryTornado = (location, load) => {\n  const { measurement, riskLevel } = criteriaStore.getState();\n\n  const geometry = new Point(location.long, location.lat, new SpatialReference({ wkid: 4326 }));\n\n  return new bbPromise((resolve, reject) => {\n    const dataSource = {\n      text: 'ASCE/SEI Standard 7-22, Figs. 32.5-1, 32.5-2, and G.2-1 through -4',\n    };\n\n    if (riskLevel < 3) {\n      load.sampleData.value = [`Not Applicable to Risk Category ${riskLevel}`];\n      load.details = [\n        {\n          type: 'singleLine',\n          label: '',\n          value: `Not Applicable to Risk Category ${riskLevel}`,\n        },\n        {\n          type: 'dataSource',\n          dataSource,\n        },\n      ];\n      load.showInReport = true;\n      reportStore.emitChange();\n      resolve({ load: load.label });\n    } else {\n      try {\n        const { aeValues, mriValues, tornadoProneAreas } = standardsConfig['7-22'].tornadoServices;\n        esriQuery(tornadoProneAreas, { outFields: ['*'], geometry, returnGeometry: false }).then((results) => {\n          if (results.features.length > 0) {\n            const isTornadoProne = results.features[0].attributes.Name === 'Tornado-prone region';\n            const promises = [];\n            aeValues.forEach((ae) => {\n              mriValues.forEach((mri) => {\n                let aeVal = `${ae}SF`,\n                  mriVal = `RP${mri}`;\n                if (ae === 'PT') {\n                  aeVal = ae;\n                }\n                const url = `https://gis.asce.org/arcgis/rest/services/ASCE722/t2022_${aeVal}_${mriVal}/ImageServer`;\n                promises.push(\n                  esriIdentifyImageService(url, { geometry })\n                    .then(({ value }) => {\n                      return { ae, mri, value };\n                    })\n                    .catch(() => {\n                      return { ae, mri, value: undefined };\n                    })\n                );\n              });\n            });\n\n            Promise.all(promises)\n              .then((resultsArray) => {\n                let sampleValue;\n                if (riskLevel === 3) {\n                  if (isTornadoProne) {\n                    sampleValue = resultsArray.find((res) => res.ae === '100K' && res.mri === '1700');\n                  }\n                } else if (riskLevel === 4) {\n                  if (isTornadoProne) {\n                    sampleValue = resultsArray.find((res) => res.ae === '100K' && res.mri === '3K');\n                  }\n                }\n                if (sampleValue && sampleValue.value) {\n                  if (sampleValue.value === 'NoData') {\n                    load.sampleData.value = [`No Data for Ae = ${measurement === 'si' ? '929 m^2' : '100,000 ft^2'}`];\n                  } else {\n                    load.sampleData.value = ['See details for V^T'];\n                  }\n                } else {\n                  if (isTornadoProne) {\n                    load.sampleData.value = [`No Data for Ae = ${measurement === 'si' ? '929 m^2' : '100,000 ft^2'}`];\n                  } else {\n                    load.sampleData.value = ['Not in Tornado-Prone Region'];\n                    load.sampleData.value.push('See Details for optional long return period V^T');\n                  }\n                }\n\n                const headerRow = [];\n                let riskLevelValue;\n\n                switch (riskLevel) {\n                  case 1:\n                    riskLevelValue = 'RC = I';\n                    break;\n                  case 2:\n                    riskLevelValue = 'RC = II';\n                    break;\n                  case 3:\n                    riskLevelValue = 'RC = III';\n                    break;\n                  case 4:\n                    riskLevelValue = 'RC = IV';\n                    break;\n                }\n\n                headerRow.push(''); // empty cell\n\n                mriValues.forEach((mri) => {\n                  if (riskLevel === 3 && mri === '1700') {\n                    headerRow.push(`${riskLevelValue} (MRI = 1,700 years)`);\n                  } else if (riskLevel === 4 && mri === '3K') {\n                    headerRow.push(`${riskLevelValue} (MRI = 3,000 years)`);\n                  } else if (mri.includes('K') && !mri.includes('3K')) {\n                    headerRow.push(`MRI = ${mri.replace('K', ',000')} years`);\n                  } else if (mri.includes('M')) {\n                    headerRow.push(`MRI = ${mri.replace('M', ',000,000')} years`);\n                  }\n                });\n\n                const rows = {\n                  PT: [`Ae = ${measurement === 'si' ? '0.1' : '1'}`],\n                  '2K': [`Ae = ${measurement === 'si' ? '186' : '2,000'}`],\n                  '10K': [`Ae = ${measurement === 'si' ? '929' : '10,000'}`],\n                  '40K': [`Ae = ${measurement === 'si' ? '3,716' : '40,000'}`],\n                  '100K': [`Ae = ${measurement === 'si' ? '9,290' : '100,000'}`],\n                  '250K': [`Ae = ${measurement === 'si' ? '23,226' : '250,000'}`],\n                  '1M': [`Ae = ${measurement === 'si' ? '92,903' : '1,000,000'}`],\n                  '4M': [`Ae = ${measurement === 'si' ? '371,612' : '4,000,000'}`],\n                };\n\n                resultsArray.forEach((result) => {\n                  let value = result.value;\n                  if (riskLevel === 3 && result.mri !== '3K') {\n                    rows[result.ae].push(\n                      result.mri === '1700' && !isTornadoProne ? 'N/A' : generateCellValue(value, measurement)\n                    );\n                  } else if (riskLevel === 4 && result.mri !== '1700') {\n                    rows[result.ae].push(\n                      result.mri === '3K' && !isTornadoProne ? 'N/A' : generateCellValue(value, measurement)\n                    );\n                  }\n                });\n                if (!isTornadoProne) {\n                  load.details = [\n                    {\n                      type: 'singleLine',\n                      label: '',\n                      value: 'Not in Tornado-Prone Region',\n                    },\n                  ];\n                }\n\n                load.details = [\n                  {\n                    type: 'table',\n                    label: '',\n                    headerRow,\n                    rows,\n                  },\n                  {\n                    type: 'dataSource',\n                    dataSource,\n                  },\n                ];\n                load.showInReport = true;\n                reportStore.emitChange();\n                resolve({ load: load.label });\n              })\n              .catch((err) => {\n                console.log('Error within handleTornado', err);\n                reject(err);\n              });\n          } else {\n            load.sampleData.value = ['Not in Tornado-Prone Region'];\n            load.details = [\n              {\n                type: 'singleLine',\n                label: '',\n                value: 'Not in Tornado-Prone Region',\n              },\n              {\n                type: 'dataSource',\n                dataSource,\n              },\n            ];\n            load.showInReport = true;\n            reportStore.emitChange();\n            resolve({ load: load.label });\n          }\n        });\n      } catch (error) {\n        reject({ load: load.label, error });\n      }\n    }\n  });\n};\n\nexport default queryTornado;\n"]}