mlogclub
031855935d
- Implemented QuickReplySeed structure and seeds for both English and Chinese languages. - Created SkillDefinitionSeed structure with detailed instructions and examples for the "After-sales Escalation" skill in both languages. - Added TagSeed structure and corresponding seeds for categorizing inquiries in English and Chinese. - Refactored skill and tag initialization to utilize the new seed structures, ensuring proper data handling and multilingual support. - Updated tests to verify that English seeds do not contain Chinese text, ensuring data integrity.
36 lines
1000 B
Go
36 lines
1000 B
Go
package kb
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import (
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"agent-desk/cmd/testdata/seedlang"
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"agent-desk/cmd/testdata/seeds"
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"regexp"
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"testing"
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)
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var hanTextPattern = regexp.MustCompile(`\p{Han}`)
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func TestEnglishKnowledgeBaseTextDoesNotContainChineseText(t *testing.T) {
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seed := seeds.FAQKnowledgeBaseSeed(seedlang.English)
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for _, value := range []string{seed.Name, seed.Description, seed.Remark} {
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if hanTextPattern.MatchString(value) {
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t.Fatalf("english knowledge base text contains Chinese text: %q", value)
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}
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}
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}
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func TestEnglishKnowledgeFAQSeedsDoNotContainChineseText(t *testing.T) {
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seedItems := seeds.KnowledgeFAQSeeds(seedlang.English)
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if len(seedItems) == 0 {
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t.Fatal("english FAQ seeds are empty")
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}
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for _, seed := range seedItems {
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values := []string{seed.Question, seed.Answer, seed.Remark}
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values = append(values, seed.SimilarQuestions...)
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for _, value := range values {
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if hanTextPattern.MatchString(value) {
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t.Fatalf("english FAQ seed contains Chinese text: %q", value)
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}
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}
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}
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}
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