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| 1 | +import { evaluationFileErrors } from '@fastgpt/global/core/app/evaluation/constants'; |
| 2 | +import { getEvaluationFileHeader } from '@fastgpt/global/core/app/evaluation/utils'; |
| 3 | +import type { VariableItemType } from '@fastgpt/global/core/app/type'; |
| 4 | +import { addLog } from '../../../common/system/log'; |
| 5 | +import { VariableInputEnum } from '@fastgpt/global/core/workflow/constants'; |
| 6 | +import Papa from 'papaparse'; |
| 7 | + |
| 8 | +export const parseEvaluationCSV = (rawText: string) => { |
| 9 | + const parseResult = Papa.parse(rawText.trim(), { |
| 10 | + skipEmptyLines: true, |
| 11 | + header: false, |
| 12 | + transformHeader: (header: string) => header.trim() |
| 13 | + }); |
| 14 | + |
| 15 | + if (parseResult.errors.length > 0) { |
| 16 | + addLog.error('CSV parsing failed', parseResult.errors); |
| 17 | + throw new Error('CSV parsing failed'); |
| 18 | + } |
| 19 | + |
| 20 | + return parseResult.data as string[][]; |
| 21 | +}; |
| 22 | + |
| 23 | +export const validateEvaluationFile = async ( |
| 24 | + rawText: string, |
| 25 | + appVariables?: VariableItemType[] |
| 26 | +) => { |
| 27 | + // Parse CSV using Papa Parse |
| 28 | + const csvData = parseEvaluationCSV(rawText); |
| 29 | + const dataLength = csvData.length; |
| 30 | + |
| 31 | + // Validate file header |
| 32 | + const expectedHeader = getEvaluationFileHeader(appVariables); |
| 33 | + const actualHeader = csvData[0]?.join(',') || ''; |
| 34 | + if (actualHeader !== expectedHeader) { |
| 35 | + addLog.error(`Header mismatch. Expected: ${expectedHeader}, Got: ${actualHeader}`); |
| 36 | + return Promise.reject(evaluationFileErrors); |
| 37 | + } |
| 38 | + |
| 39 | + // Validate data rows count |
| 40 | + if (dataLength <= 1) { |
| 41 | + addLog.error('No data rows found'); |
| 42 | + return Promise.reject(evaluationFileErrors); |
| 43 | + } |
| 44 | + |
| 45 | + const maxRows = 1000; |
| 46 | + if (dataLength - 1 > maxRows) { |
| 47 | + addLog.error(`Too many rows. Max: ${maxRows}, Got: ${dataLength - 1}`); |
| 48 | + return Promise.reject(evaluationFileErrors); |
| 49 | + } |
| 50 | + |
| 51 | + const headers = csvData[0]; |
| 52 | + |
| 53 | + // Get required field indices |
| 54 | + const requiredFields = headers |
| 55 | + .map((header, index) => ({ header: header.trim(), index })) |
| 56 | + .filter(({ header }) => header.startsWith('*')); |
| 57 | + |
| 58 | + const errors: string[] = []; |
| 59 | + |
| 60 | + // Validate each data row |
| 61 | + for (let i = 1; i < csvData.length; i++) { |
| 62 | + const values = csvData[i]; |
| 63 | + |
| 64 | + // Check required fields |
| 65 | + requiredFields.forEach(({ header, index }) => { |
| 66 | + if (!values[index]?.trim()) { |
| 67 | + errors.push(`Row ${i + 1}: required field "${header}" is empty`); |
| 68 | + } |
| 69 | + }); |
| 70 | + |
| 71 | + // Validate app variables |
| 72 | + if (appVariables) { |
| 73 | + validateRowVariables({ |
| 74 | + values, |
| 75 | + variables: appVariables, |
| 76 | + rowNum: i + 1, |
| 77 | + errors |
| 78 | + }); |
| 79 | + } |
| 80 | + } |
| 81 | + |
| 82 | + if (errors.length > 0) { |
| 83 | + addLog.error(`Validation failed: ${errors.join('; ')}`); |
| 84 | + return Promise.reject(evaluationFileErrors); |
| 85 | + } |
| 86 | + |
| 87 | + return { csvData, dataLength }; |
| 88 | +}; |
| 89 | + |
| 90 | +const validateRowVariables = ({ |
| 91 | + values, |
| 92 | + variables, |
| 93 | + rowNum, |
| 94 | + errors |
| 95 | +}: { |
| 96 | + values: string[]; |
| 97 | + variables: VariableItemType[]; |
| 98 | + rowNum: number; |
| 99 | + errors: string[]; |
| 100 | +}) => { |
| 101 | + variables.forEach((variable, index) => { |
| 102 | + const value = values[index]?.trim(); |
| 103 | + |
| 104 | + // Skip validation if value is empty and not required |
| 105 | + if (!value && !variable.required) return; |
| 106 | + |
| 107 | + switch (variable.type) { |
| 108 | + case VariableInputEnum.input: |
| 109 | + // Validate string length |
| 110 | + if (variable.maxLength && value && value.length > variable.maxLength) { |
| 111 | + errors.push( |
| 112 | + `Row ${rowNum}: "${variable.label}" exceeds max length (${variable.maxLength})` |
| 113 | + ); |
| 114 | + } |
| 115 | + break; |
| 116 | + |
| 117 | + case VariableInputEnum.numberInput: |
| 118 | + // Validate number type and range |
| 119 | + if (value) { |
| 120 | + const numValue = Number(value); |
| 121 | + if (isNaN(numValue)) { |
| 122 | + errors.push(`Row ${rowNum}: "${variable.label}" must be a number`); |
| 123 | + } else { |
| 124 | + if (variable.min !== undefined && numValue < variable.min) { |
| 125 | + errors.push(`Row ${rowNum}: "${variable.label}" below minimum (${variable.min})`); |
| 126 | + } |
| 127 | + if (variable.max !== undefined && numValue > variable.max) { |
| 128 | + errors.push(`Row ${rowNum}: "${variable.label}" exceeds maximum (${variable.max})`); |
| 129 | + } |
| 130 | + } |
| 131 | + } |
| 132 | + break; |
| 133 | + |
| 134 | + case VariableInputEnum.select: |
| 135 | + // Validate select options |
| 136 | + if (value && variable.enums?.length) { |
| 137 | + const validOptions = variable.enums.map((item) => item.value); |
| 138 | + if (!validOptions.includes(value)) { |
| 139 | + errors.push( |
| 140 | + `Row ${rowNum}: "${variable.label}" invalid option. Valid: [${validOptions.join(', ')}]` |
| 141 | + ); |
| 142 | + } |
| 143 | + } |
| 144 | + break; |
| 145 | + } |
| 146 | + }); |
| 147 | +}; |
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