form.go 3.3 KB

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  1. package compapi
  2. import (
  3. "time"
  4. "wechat-api/internal/types"
  5. "github.com/openai/openai-go"
  6. )
  7. type FormClient struct {
  8. StdClient
  9. }
  10. // Generate the JSON schema at initialization time
  11. var FormResponseSchema = GenerateSchema[FormList]()
  12. type FormResponse struct {
  13. DataIndex string `json:"dataIndex" jsonschema_description:"表单 id"`
  14. Value []string `json:"value" jsonschema_description:" 值列表"`
  15. }
  16. type FormList struct {
  17. Values []FormResponse `json:"values" jsonschema_description:"表单列表"`
  18. }
  19. /*
  20. "response_format":{"type":"json_object"}}
  21. {"type":"json_schema",
  22. "json_schema":{
  23. "description":"从通话记录中提取表单","name":"keyword_schema","schema":{
  24. "$schema":"https://json-schema.org/draft/2020-12/schema","additionalProperties":false,"properties":{
  25. "keywords":{
  26. "description":"关键词库","items":{"type":"string"},"type":"array"},"regular":{"description":"正则表达式","items":{"type":"string"},"type":"array"},"similar_reply":{"description":"类似回复","items":{"type":"string"},"type":"array"},"swear_words":{"description":"脏话列表","items":{"type":"string"},"type":"array"},"user_intent":{"description":"用户意图","type":"string"},"user_mood":{"description":"用户情绪","type":"string"}},"required":["user_intent","similar_reply","keywords","regular","user_mood","swear_words"],"type":"object"},"strict":true}}
  27. */
  28. func (me *FormClient) BuildRequest(req *types.CompApiReq) error {
  29. nowTime := time.Now().Format("2006-01-02 15:04:05")
  30. weekday := time.Now().Weekday().String()
  31. //bytes, err := json.Marshal(req.Variables["form_data"])
  32. //if err != nil {
  33. // return err
  34. //}
  35. //form_data := string(bytes)
  36. //先重构message
  37. newMessSlice := make([]types.StdCompMessage, 2)
  38. newMessSlice[0] = types.StdCompMessage{Role: "system", Content: `# 任务
  39. 请根据提供的 表单模板,从聊天记录中提取出 用户 的相关信息,并将结果以 json 形式返回。
  40. # 背景信息
  41. 当前时间是:` + nowTime + `
  42. 当前星期是:` + weekday + `
  43. # 返回值示例
  44. * 如表单类型为 input、autoComplete、textarea,返回示例:["表单值"]
  45. * 如表单类型为 radio、select,返回示例:["值1"]
  46. * 如表单类型为 checkbox,返回示例:["值1", "值2"]
  47. * 如表单类型为 cascader,返回示例:["一级值1", "二级值3"]
  48. * 如表单类型为 date,返回示例:["2025-01-01"]
  49. * 如没有找到某个表单相关的值,请不要返回该表单`}
  50. newMessSlice[1] = types.StdCompMessage{Role: "user", Content: `# 表单模板
  51. ` + req.Variables["form_data"] + `
  52. # 聊天记录
  53. ` + req.Variables["chat_history"]}
  54. //再构造ResponseFormat
  55. if !IsOpenaiModel(req.Model) {
  56. newMessSlice[1].Content = newMessSlice[1].Content.(string) + `
  57. # 请以下方的json结构输出
  58. [{
  59. "dataIndex": str, # 表单ID
  60. "value": list[str] # 表单值列表
  61. }]`
  62. req.ResponseFormat = openai.ResponseFormatJSONObjectParam{Type: "json_object"}
  63. } else {
  64. schemaParam := openai.ResponseFormatJSONSchemaJSONSchemaParam{
  65. Name: "keyword_schema",
  66. Description: openai.String("从通话记录中提取表单"),
  67. Schema: FormResponseSchema,
  68. Strict: openai.Bool(true),
  69. }
  70. req.ResponseFormat = openai.ResponseFormatJSONSchemaParam{JSONSchema: schemaParam}
  71. }
  72. //req.Model = oldModel
  73. req.Messages = newMessSlice
  74. return nil
  75. }