Files
likedream/internal/application/quesbank/answer_parser.go
T
sugarBecomer d1b954ab8e 🐛 学习通答题
2025-12-11 16:49:02 +08:00

98 lines
2.1 KiB
Go

package quesbank
import (
"encoding/json"
"strings"
)
// ParseAIAnswer 解析AI答案
func ParseAIAnswer(aiResponse string) ([]string, error) {
aiResponse = strings.TrimSpace(aiResponse)
// 尝试直接解析JSON数组
var answers []string
if err := json.Unmarshal([]byte(aiResponse), &answers); err == nil {
return answers, nil
}
// 尝试从响应中提取JSON数组
start := strings.Index(aiResponse, "[")
end := strings.LastIndex(aiResponse, "]")
if start != -1 && end != -1 && end > start {
jsonStr := aiResponse[start : end+1]
if err := json.Unmarshal([]byte(jsonStr), &answers); err == nil {
return answers, nil
}
}
// 如果都失败,返回原始响应作为单个答案
return []string{aiResponse}, nil
}
// MatchAnswerToOption 将AI答案匹配到选项
func MatchAnswerToOption(answer string, options map[string]string) string {
// 精确匹配
for key, val := range options {
if val == answer || strings.TrimSpace(val) == strings.TrimSpace(answer) {
return key
}
}
// 模糊匹配(包含关系)
for key, val := range options {
if strings.Contains(val, answer) || strings.Contains(answer, val) {
return key
}
}
// 相似度匹配
bestKey := ""
bestScore := 0.0
for key, val := range options {
score := similarity(answer, val)
if score > bestScore {
bestScore = score
bestKey = key
}
}
if bestScore >= 0.5 {
return bestKey
}
return ""
}
// similarity 计算字符串相似度(简单实现)
func similarity(s1, s2 string) float64 {
if s1 == s2 {
return 1.0
}
if len(s1) == 0 || len(s2) == 0 {
return 0.0
}
// 使用最长公共子序列计算相似度
lcs := longestCommonSubsequence(s1, s2)
return float64(lcs) / float64(max(len(s1), len(s2)))
}
// longestCommonSubsequence 计算最长公共子序列长度
func longestCommonSubsequence(s1, s2 string) int {
m, n := len(s1), len(s2)
dp := make([][]int, m+1)
for i := range dp {
dp[i] = make([]int, n+1)
}
for i := 1; i <= m; i++ {
for j := 1; j <= n; j++ {
if s1[i-1] == s2[j-1] {
dp[i][j] = dp[i-1][j-1] + 1
} else {
dp[i][j] = max(dp[i-1][j], dp[i][j-1])
}
}
}
return dp[m][n]
}