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| 1 | +import { ExternalApiUsage } from "./external-api-usage"; |
| 2 | +import { ModeledMethod, ModeledMethodType } from "./modeled-method"; |
| 3 | +import { |
| 4 | + Classification, |
| 5 | + ClassificationType, |
| 6 | + Method, |
| 7 | + ModelRequest, |
| 8 | +} from "./auto-model-api"; |
| 9 | + |
| 10 | +export function createAutoModelRequest( |
| 11 | + language: string, |
| 12 | + externalApiUsages: ExternalApiUsage[], |
| 13 | + modeledMethods: Record<string, ModeledMethod>, |
| 14 | +): ModelRequest { |
| 15 | + const request: ModelRequest = { |
| 16 | + language, |
| 17 | + samples: [], |
| 18 | + candidates: [], |
| 19 | + }; |
| 20 | + |
| 21 | + // Sort by number of usages so we always send the most used methods first |
| 22 | + externalApiUsages = [...externalApiUsages]; |
| 23 | + externalApiUsages.sort((a, b) => b.usages.length - a.usages.length); |
| 24 | + |
| 25 | + for (const externalApiUsage of externalApiUsages) { |
| 26 | + const modeledMethod: ModeledMethod = modeledMethods[ |
| 27 | + externalApiUsage.signature |
| 28 | + ] ?? { |
| 29 | + type: "none", |
| 30 | + }; |
| 31 | + |
| 32 | + const numberOfArguments = |
| 33 | + externalApiUsage.methodParameters === "()" |
| 34 | + ? 0 |
| 35 | + : externalApiUsage.methodParameters.split(",").length; |
| 36 | + |
| 37 | + for ( |
| 38 | + let argumentIndex = 0; |
| 39 | + argumentIndex < numberOfArguments; |
| 40 | + argumentIndex++ |
| 41 | + ) { |
| 42 | + const method: Method = { |
| 43 | + package: externalApiUsage.packageName, |
| 44 | + type: externalApiUsage.typeName, |
| 45 | + name: externalApiUsage.methodName, |
| 46 | + signature: externalApiUsage.methodParameters, |
| 47 | + classification: |
| 48 | + modeledMethod.type === "none" |
| 49 | + ? undefined |
| 50 | + : toMethodClassification(modeledMethod), |
| 51 | + usages: externalApiUsage.usages.map((usage) => usage.label), |
| 52 | + input: `Argument[${argumentIndex}]`, |
| 53 | + }; |
| 54 | + |
| 55 | + if (method.usages.length > 10) { |
| 56 | + method.usages = method.usages.slice(0, 10); |
| 57 | + } |
| 58 | + |
| 59 | + if (modeledMethod.type === "none") { |
| 60 | + request.candidates.push(method); |
| 61 | + } else { |
| 62 | + request.samples.push(method); |
| 63 | + } |
| 64 | + } |
| 65 | + } |
| 66 | + |
| 67 | + if (request.candidates.length > 100) { |
| 68 | + request.candidates = request.candidates.slice(0, 100); |
| 69 | + } |
| 70 | + if (request.samples.length > 20) { |
| 71 | + request.samples = request.samples.slice(0, 20); |
| 72 | + } |
| 73 | + |
| 74 | + return request; |
| 75 | +} |
| 76 | + |
| 77 | +function toMethodClassificationType( |
| 78 | + type: ModeledMethodType, |
| 79 | +): ClassificationType { |
| 80 | + switch (type) { |
| 81 | + case "source": |
| 82 | + return ClassificationType.Source; |
| 83 | + case "sink": |
| 84 | + return ClassificationType.Sink; |
| 85 | + case "summary": |
| 86 | + return ClassificationType.Summary; |
| 87 | + case "neutral": |
| 88 | + return ClassificationType.Neutral; |
| 89 | + default: |
| 90 | + return ClassificationType.Unknown; |
| 91 | + } |
| 92 | +} |
| 93 | + |
| 94 | +function toMethodClassification(modeledMethod: ModeledMethod): Classification { |
| 95 | + return { |
| 96 | + type: toMethodClassificationType(modeledMethod.type), |
| 97 | + kind: modeledMethod.kind, |
| 98 | + explanation: "", |
| 99 | + }; |
| 100 | +} |
| 101 | + |
| 102 | +export function classificationTypeToModeledMethodType( |
| 103 | + type: ClassificationType, |
| 104 | +): ModeledMethodType { |
| 105 | + switch (type) { |
| 106 | + case ClassificationType.Source: |
| 107 | + return "source"; |
| 108 | + case ClassificationType.Sink: |
| 109 | + return "sink"; |
| 110 | + case ClassificationType.Summary: |
| 111 | + return "summary"; |
| 112 | + case ClassificationType.Neutral: |
| 113 | + return "neutral"; |
| 114 | + default: |
| 115 | + return "none"; |
| 116 | + } |
| 117 | +} |
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