Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 5x 1x 4x 4x 4x 4x 4x 4x 4x 25x 25x 13x 13x 13x 13x 28x 12x 12x 12x 4x 3x 4x 4x 4x 3x 3x 3x 3x 4x 25x 13x 31x 3x | import {
AREA_METRIC,
aggregateRiskProfile,
EXCLUDED_FILE_EXTENSION,
HEIGHT_METRICS,
RiskProfile,
getPercentagesOfRiskProfile
} from "./util/riskProfileHelper"
import {
calculateSuspiciousMetrics,
findGoodAndBadMetrics,
setMetricValuesByLanguage,
MetricSuggestionParameters,
MetricValuesByLanguage
} from "./util/suspiciousMetricsHelper"
import { hierarchy } from "d3-hierarchy"
import { BlacklistItem, CodeMapNode, NodeType } from "../../../../codeCharta.model"
import { getMostFrequentLanguage } from "./util/mainProgrammingLanguageHelper"
import { isPathBlacklisted } from "../../../../util/codeMapHelper"
import { blacklistSelector } from "../../../../state/store/fileSettings/blacklist/blacklist.selector"
import { AccumulatedData, accumulatedDataSelector } from "../../../../state/selectors/accumulatedData/accumulatedData.selector"
import { createSelector } from "@ngrx/store"
export type ArtificialIntelligenceData = {
analyzedProgrammingLanguage: string
suspiciousMetricSuggestionLinks: MetricSuggestionParameters[]
unsuspiciousMetrics: string[]
untrackedMetrics: string[]
riskProfile: RiskProfile
}
export const calculate = (
accumulatedData: Pick<AccumulatedData, "unifiedMapNode">,
blacklist: BlacklistItem[]
): ArtificialIntelligenceData | undefined => {
if (!accumulatedData.unifiedMapNode) {
return
}
const artificialIntelligenceViewModel: ArtificialIntelligenceData = {
analyzedProgrammingLanguage: undefined,
suspiciousMetricSuggestionLinks: [],
unsuspiciousMetrics: [],
untrackedMetrics: [],
riskProfile: undefined
}
const numberOfFilesByLanguage = new Map<string, number>()
const rlocRisk = { lowRisk: 0, moderateRisk: 0, highRisk: 0, veryHighRisk: 0 }
let totalRloc = 0
let totalComplexity = 0
const metricValuesByLanguage: MetricValuesByLanguage = {}
for (const { data } of hierarchy(accumulatedData.unifiedMapNode)) {
const fileExtension = getFileExtension(data.name)
if (data.type === NodeType.FILE && fileExtension !== undefined && !isPathBlacklisted(data.path, blacklist, "exclude")) {
const filesPerLanguage = numberOfFilesByLanguage.get(fileExtension) ?? 0
numberOfFilesByLanguage.set(fileExtension, filesPerLanguage + 1)
setMetricValuesByLanguage(data, metricValuesByLanguage, fileExtension)
if (isFileValid(data, fileExtension)) {
const firstDefinedMetric = HEIGHT_METRICS.find(metric => data.attributes[metric] !== undefined)
totalComplexity += data.attributes[firstDefinedMetric]
totalRloc += data.attributes[AREA_METRIC]
aggregateRiskProfile(data, rlocRisk, fileExtension)
}
}
}
if (totalRloc > 0 && totalComplexity > 0) {
artificialIntelligenceViewModel.riskProfile = getPercentagesOfRiskProfile(rlocRisk)
}
const mainProgrammingLanguage = getMostFrequentLanguage(numberOfFilesByLanguage)
artificialIntelligenceViewModel.analyzedProgrammingLanguage = mainProgrammingLanguage
if (mainProgrammingLanguage !== undefined) {
const metricAssessmentResults = findGoodAndBadMetrics(metricValuesByLanguage, mainProgrammingLanguage)
artificialIntelligenceViewModel.unsuspiciousMetrics = metricAssessmentResults.unsuspiciousMetrics
artificialIntelligenceViewModel.untrackedMetrics = metricAssessmentResults.untrackedMetrics
artificialIntelligenceViewModel.suspiciousMetricSuggestionLinks = calculateSuspiciousMetrics(metricAssessmentResults)
}
return artificialIntelligenceViewModel
}
function getFileExtension(fileName: string) {
return fileName.includes(".") ? fileName.slice(fileName.lastIndexOf(".") + 1) : undefined
}
function isFileValid(node: CodeMapNode, fileExtension: string) {
return (
HEIGHT_METRICS.some(metric => node.attributes[metric] !== undefined) &&
node.attributes[AREA_METRIC] !== undefined &&
!EXCLUDED_FILE_EXTENSION.has(fileExtension)
)
}
export const artificialIntelligenceSelector = createSelector(accumulatedDataSelector, blacklistSelector, calculate)
|