wwf
2025-05-20 938c3e5a587ce950a94964ea509b9e7f8834dfae
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
import {
  uniq,
  xorBy,
} from 'lodash-es'
import type { MultipleRetrievalConfig } from './types'
import type {
  DataSet,
  SelectedDatasetsMode,
} from '@/models/datasets'
import {
  DEFAULT_WEIGHTED_SCORE,
  RerankingModeEnum,
} from '@/models/datasets'
import { RETRIEVE_METHOD } from '@/types/app'
import { DATASET_DEFAULT } from '@/config'
 
export const checkNodeValid = () => {
  return true
}
 
export const getSelectedDatasetsMode = (datasets: DataSet[] = []) => {
  if (datasets === null)
    datasets = []
  let allHighQuality = true
  let allHighQualityVectorSearch = true
  let allHighQualityFullTextSearch = true
  let allEconomic = true
  let mixtureHighQualityAndEconomic = true
  let allExternal = true
  let allInternal = true
  let mixtureInternalAndExternal = true
  let inconsistentEmbeddingModel = false
  if (!datasets.length) {
    allHighQuality = false
    allHighQualityVectorSearch = false
    allHighQualityFullTextSearch = false
    allEconomic = false
    mixtureHighQualityAndEconomic = false
    allExternal = false
    allInternal = false
    mixtureInternalAndExternal = false
  }
  datasets.forEach((dataset) => {
    if (dataset.indexing_technique === 'economy') {
      allHighQuality = false
      allHighQualityVectorSearch = false
      allHighQualityFullTextSearch = false
    }
    if (dataset.indexing_technique === 'high_quality') {
      allEconomic = false
 
      if (dataset.retrieval_model_dict.search_method !== RETRIEVE_METHOD.semantic)
        allHighQualityVectorSearch = false
 
      if (dataset.retrieval_model_dict.search_method !== RETRIEVE_METHOD.fullText)
        allHighQualityFullTextSearch = false
    }
    if (dataset.provider !== 'external') {
      allExternal = false
    }
    else {
      allInternal = false
      allHighQuality = false
      allHighQualityVectorSearch = false
      allHighQualityFullTextSearch = false
      mixtureHighQualityAndEconomic = false
    }
  })
 
  if (allExternal || allInternal)
    mixtureInternalAndExternal = false
 
  if (allHighQuality || allEconomic)
    mixtureHighQualityAndEconomic = false
 
  if (allHighQuality)
    inconsistentEmbeddingModel = uniq(datasets.map(item => item.embedding_model)).length > 1
 
  return {
    allHighQuality,
    allHighQualityVectorSearch,
    allHighQualityFullTextSearch,
    allEconomic,
    mixtureHighQualityAndEconomic,
    allInternal,
    allExternal,
    mixtureInternalAndExternal,
    inconsistentEmbeddingModel,
  } as SelectedDatasetsMode
}
 
export const getMultipleRetrievalConfig = (
  multipleRetrievalConfig: MultipleRetrievalConfig,
  selectedDatasets: DataSet[],
  originalDatasets: DataSet[],
  validRerankModel?: { provider?: string; model?: string },
) => {
  const shouldSetWeightDefaultValue = xorBy(selectedDatasets, originalDatasets, 'id').length > 0
  const rerankModelIsValid = validRerankModel?.provider && validRerankModel?.model
 
  const {
    allHighQuality,
    allHighQualityVectorSearch,
    allHighQualityFullTextSearch,
    allEconomic,
    mixtureHighQualityAndEconomic,
    allInternal,
    allExternal,
    mixtureInternalAndExternal,
    inconsistentEmbeddingModel,
  } = getSelectedDatasetsMode(selectedDatasets)
 
  const {
    top_k = DATASET_DEFAULT.top_k,
    score_threshold,
    reranking_mode,
    reranking_model,
    weights,
    reranking_enable,
  } = multipleRetrievalConfig || { top_k: DATASET_DEFAULT.top_k }
 
  const result = {
    top_k,
    score_threshold,
    reranking_mode,
    reranking_model,
    weights,
    reranking_enable: ((allInternal && allEconomic) || allExternal) ? reranking_enable : shouldSetWeightDefaultValue,
  }
 
  const setDefaultWeights = () => {
    result.weights = {
      vector_setting: {
        vector_weight: allHighQualityVectorSearch
          ? DEFAULT_WEIGHTED_SCORE.allHighQualityVectorSearch.semantic
          : allHighQualityFullTextSearch
            ? DEFAULT_WEIGHTED_SCORE.allHighQualityFullTextSearch.semantic
            : DEFAULT_WEIGHTED_SCORE.other.semantic,
        embedding_provider_name: selectedDatasets[0].embedding_model_provider,
        embedding_model_name: selectedDatasets[0].embedding_model,
      },
      keyword_setting: {
        keyword_weight: allHighQualityVectorSearch
          ? DEFAULT_WEIGHTED_SCORE.allHighQualityVectorSearch.keyword
          : allHighQualityFullTextSearch
            ? DEFAULT_WEIGHTED_SCORE.allHighQualityFullTextSearch.keyword
            : DEFAULT_WEIGHTED_SCORE.other.keyword,
      },
    }
  }
 
  if (allEconomic || mixtureHighQualityAndEconomic || inconsistentEmbeddingModel || allExternal || mixtureInternalAndExternal) {
    result.reranking_mode = RerankingModeEnum.RerankingModel
    if (!result.reranking_model?.provider || !result.reranking_model?.model) {
      if (rerankModelIsValid) {
        result.reranking_enable = reranking_enable !== false
 
        result.reranking_model = {
          provider: validRerankModel?.provider || '',
          model: validRerankModel?.model || '',
        }
      }
      else {
        result.reranking_model = {
          provider: '',
          model: '',
        }
      }
    }
    else {
      result.reranking_enable = reranking_enable !== false
    }
  }
 
  if (allHighQuality && !inconsistentEmbeddingModel && allInternal) {
    if (!reranking_mode) {
      if (validRerankModel?.provider && validRerankModel?.model) {
        result.reranking_mode = RerankingModeEnum.RerankingModel
        result.reranking_enable = reranking_enable !== false
 
        result.reranking_model = {
          provider: validRerankModel.provider,
          model: validRerankModel.model,
        }
      }
      else {
        result.reranking_mode = RerankingModeEnum.WeightedScore
        setDefaultWeights()
      }
    }
 
    if (reranking_mode === RerankingModeEnum.WeightedScore && !weights)
      setDefaultWeights()
 
    if (reranking_mode === RerankingModeEnum.WeightedScore && weights && shouldSetWeightDefaultValue) {
      if (rerankModelIsValid) {
        result.reranking_mode = RerankingModeEnum.RerankingModel
        result.reranking_enable = reranking_enable !== false
 
        result.reranking_model = {
          provider: validRerankModel.provider || '',
          model: validRerankModel.model || '',
        }
      }
      else {
        setDefaultWeights()
      }
    }
    if (reranking_mode === RerankingModeEnum.RerankingModel && !rerankModelIsValid && shouldSetWeightDefaultValue) {
      result.reranking_mode = RerankingModeEnum.WeightedScore
      setDefaultWeights()
    }
  }
 
  return result
}
 
export const checkoutRerankModelConfigedInRetrievalSettings = (
  datasets: DataSet[],
  multipleRetrievalConfig?: MultipleRetrievalConfig,
) => {
  if (!multipleRetrievalConfig)
    return true
 
  const {
    allEconomic,
    allExternal,
  } = getSelectedDatasetsMode(datasets)
 
  const {
    reranking_enable,
    reranking_mode,
    reranking_model,
  } = multipleRetrievalConfig
 
  if (reranking_mode === RerankingModeEnum.RerankingModel && (!reranking_model?.provider || !reranking_model?.model)) {
    if ((allEconomic || allExternal) && !reranking_enable)
      return true
 
    return false
  }
 
  return true
}