This commit is contained in:
liqiang-fit2cloud 2024-11-26 10:35:49 +08:00
commit 1a8544a03f
12 changed files with 162 additions and 22 deletions

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@ -19,7 +19,7 @@ class ParagraphPipelineModel:
def __init__(self, _id: str, document_id: str, dataset_id: str, content: str, title: str, status: str,
is_active: bool, comprehensive_score: float, similarity: float, dataset_name: str, document_name: str,
hit_handling_method: str, directly_return_similarity: float):
hit_handling_method: str, directly_return_similarity: float, meta: dict = None):
self.id = _id
self.document_id = document_id
self.dataset_id = dataset_id
@ -33,6 +33,7 @@ class ParagraphPipelineModel:
self.document_name = document_name
self.hit_handling_method = hit_handling_method
self.directly_return_similarity = directly_return_similarity
self.meta = meta
def to_dict(self):
return {
@ -46,7 +47,8 @@ class ParagraphPipelineModel:
'comprehensive_score': self.comprehensive_score,
'similarity': self.similarity,
'dataset_name': self.dataset_name,
'document_name': self.document_name
'document_name': self.document_name,
'meta': self.meta,
}
class builder:
@ -58,6 +60,7 @@ class ParagraphPipelineModel:
self.dataset_name = None
self.hit_handling_method = None
self.directly_return_similarity = 0.9
self.meta = {}
def add_paragraph(self, paragraph):
if isinstance(paragraph, Paragraph):
@ -97,6 +100,10 @@ class ParagraphPipelineModel:
self.similarity = similarity
return self
def add_meta(self, meta: dict):
self.meta = meta
return self
def build(self):
return ParagraphPipelineModel(str(self.paragraph.get('id')), str(self.paragraph.get('document_id')),
str(self.paragraph.get('dataset_id')),
@ -104,7 +111,8 @@ class ParagraphPipelineModel:
self.paragraph.get('status'),
self.paragraph.get('is_active'),
self.comprehensive_score, self.similarity, self.dataset_name,
self.document_name, self.hit_handling_method, self.directly_return_similarity)
self.document_name, self.hit_handling_method, self.directly_return_similarity,
self.meta)
class IBaseChatPipelineStep:

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@ -79,6 +79,7 @@ class BaseSearchDatasetStep(ISearchDatasetStep):
.add_document_name(paragraph.get('document_name'))
.add_hit_handling_method(paragraph.get('hit_handling_method'))
.add_directly_return_similarity(paragraph.get('directly_return_similarity'))
.add_meta(paragraph.get('meta'))
.build())
@staticmethod

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@ -40,7 +40,7 @@ class BaseDocumentExtractNode(IDocumentExtractNode):
"index": index,
'run_time': self.context.get('run_time'),
'type': self.node.type,
'content': self.context.get('content'),
# 'content': self.context.get('content'), # 不保存content内容因为content内容可能会很大
'status': self.status,
'err_message': self.err_message,
'document_list': self.context.get('document_list')

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@ -67,11 +67,13 @@ class BaseImageUnderstandNode(IImageUnderstandNode):
image,
**kwargs) -> NodeResult:
image_model = get_model_instance_by_model_user_id(model_id, self.flow_params_serializer.data.get('user_id'))
history_message = self.get_history_message(history_chat_record, dialogue_number)
# 执行详情中的历史消息不需要图片内容
history_message =self.get_history_message_for_details(history_chat_record, dialogue_number)
self.context['history_message'] = history_message
question = self.generate_prompt_question(prompt)
self.context['question'] = question.content
message_list = self.generate_message_list(image_model, system, prompt, history_message, image)
# 生成消息列表, 真实的history_message
message_list = self.generate_message_list(image_model, system, prompt, self.get_history_message(history_chat_record, dialogue_number), image)
self.context['message_list'] = message_list
self.context['image_list'] = image
self.context['dialogue_type'] = dialogue_type
@ -86,6 +88,15 @@ class BaseImageUnderstandNode(IImageUnderstandNode):
'history_message': history_message, 'question': question.content}, {},
_write_context=write_context)
@staticmethod
def get_history_message_for_details(history_chat_record, dialogue_number):
start_index = len(history_chat_record) - dialogue_number
history_message = reduce(lambda x, y: [*x, *y], [
[history_chat_record[index].get_human_message(), history_chat_record[index].get_ai_message()]
for index in
range(start_index if start_index > 0 else 0, len(history_chat_record))], [])
return history_message
def get_history_message(self, history_chat_record, dialogue_number):
start_index = len(history_chat_record) - dialogue_number
history_message = reduce(lambda x, y: [*x, *y], [

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@ -2,6 +2,7 @@ SELECT
paragraph.*,
dataset."name" AS "dataset_name",
"document"."name" AS "document_name",
"document"."meta" AS "meta",
"document"."hit_handling_method" AS "hit_handling_method",
"document"."directly_return_similarity" as "directly_return_similarity"
FROM

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@ -28,7 +28,7 @@
<div class="flex align-center">
<span
class="mr-16 color-secondary"
v-if="item.type === WorkflowType.Question || item.type === WorkflowType.AiChat"
v-if="item.type === WorkflowType.Question || item.type === WorkflowType.AiChat || item.type === WorkflowType.ImageUnderstandNode"
>{{ item?.message_tokens + item?.answer_tokens }} tokens</span
>
<span class="mr-16 color-secondary">{{ item?.run_time?.toFixed(2) || 0.0 }} s</span>

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@ -9,15 +9,28 @@
</div>
<div class="mt-8" v-if="!isWorkFlow(props.type)">
<el-space wrap>
<el-button
v-for="(dataset, index) in data.dataset_list"
:key="index"
size="small"
class="source_dataset-button"
@click="openParagraph(data, dataset.id)"
>
<span class="ellipsis" :title="dataset.name"> {{ dataset.name }}</span>
</el-button>
<div v-for="(paragraph, index) in uniqueParagraphList" :key="index">
<el-icon class="mr-4" :size="25">
<img :src="getIconPath(paragraph.document_name)" style="width: 90%" alt="" />
</el-icon>
<span
v-if="!paragraph.source_url"
class="ellipsis"
:title="paragraph?.document_name?.trim()"
>
{{ paragraph?.document_name }}
</span>
<a
v-else
@click="openLink(paragraph.source_url)"
class="ellipsis"
:title="paragraph?.document_name?.trim()"
>
<span :title="paragraph?.document_name?.trim()">
{{ paragraph?.document_name }}
</span>
</a>
</div>
</el-space>
</div>
@ -42,7 +55,7 @@
<ExecutionDetailDialog ref="ExecutionDetailDialogRef" />
</template>
<script setup lang="ts">
import { ref } from 'vue'
import { computed, ref } from 'vue'
import ParagraphSourceDialog from './ParagraphSourceDialog.vue'
import ExecutionDetailDialog from './ExecutionDetailDialog.vue'
import { isWorkFlow } from '@/utils/application'
@ -57,6 +70,15 @@ const props = defineProps({
default: ''
}
})
const iconMap: { [key: string]: string } = {
doc: '../../assets/doc-icon.svg',
docx: '../../assets/docx-icon.svg',
pdf: '../../assets/pdf-icon.svg',
md: '../../assets/md-icon.svg',
txt: '../../assets/txt-icon.svg',
xls: '../../assets/xls-icon.svg',
xlsx: '../../assets/xlsx-icon.svg'
}
const ParagraphSourceDialogRef = ref()
const ExecutionDetailDialogRef = ref()
@ -66,6 +88,40 @@ function openParagraph(row: any, id?: string) {
function openExecutionDetail(row: any) {
ExecutionDetailDialogRef.value.open(row)
}
const uniqueParagraphList = computed(() => {
const seen = new Set()
return (
props.data.paragraph_list?.filter((paragraph: any) => {
const key = paragraph.document_name.trim()
if (seen.has(key)) {
return false
}
seen.add(key)
// meta {} json
if (paragraph.meta && typeof paragraph.meta === 'string') {
paragraph.meta = JSON.parse(paragraph.meta)
paragraph.source_url = paragraph.meta.source_url
}
return true
}) || []
)
})
function getIconPath(documentName: string) {
const extension = documentName.split('.').pop()?.toLowerCase()
if (!documentName || !extension) return new URL(`${iconMap['doc']}`, import.meta.url).href
if (iconMap && extension && iconMap[extension]) {
return new URL(`${iconMap[extension]}`, import.meta.url).href
}
return new URL(`${iconMap['doc']}`, import.meta.url).href
}
function openLink(url: string) {
// url//
if (url && !url.endsWith('/')) {
url += '/'
}
window.open(url, '_blank')
}
</script>
<style lang="scss" scoped>
.source_dataset-button {

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@ -18,10 +18,48 @@
<template #footer>
<div class="footer-content flex-between">
<el-text class="flex align-center" style="width: 70%">
<el-icon class="mr-4">
<Document />
<el-icon class="mr-4" :size="25">
<img
src="@/assets/doc-icon.svg"
style="width: 90%"
alt=""
v-if="data?.document_name?.includes('doc')"
/>
<img
src="@/assets/docx-icon.svg"
style="width: 90%"
alt=""
v-else-if="data?.document_name?.includes('docx')"
/>
<img
src="@/assets/pdf-icon.svg"
style="width: 90%"
alt=""
v-else-if="data?.document_name?.includes('pdf')"
/>
<img
src="@/assets/md-icon.svg"
style="width: 90%"
alt=""
v-else-if="data?.document_name?.includes('md')"
/>
<img
src="@/assets/xls-icon.svg"
style="width: 90%"
alt=""
v-else-if="data?.document_name?.includes('xls')"
/>
<img
src="@/assets/txt-icon.svg"
style="width: 90%"
alt=""
v-else-if="data?.document_name?.includes('txt')"
/>
<img src="@/assets/doc-icon.svg" style="width: 90%" alt="" v-else />
</el-icon>
<span class="ellipsis" :title="data?.document_name?.trim()"> {{ data?.document_name.trim() }}</span>
<span class="ellipsis" :title="data?.document_name?.trim()">
{{ data?.document_name.trim() }}</span
>
</el-text>
<div class="flex align-center" style="line-height: 32px">
<AppAvatar class="mr-8 avatar-blue" shape="square" :size="18">
@ -45,6 +83,23 @@ const props = defineProps({
default: 0
}
})
const iconMap: { [key: string]: string } = {
doc: '../../assets/doc-icon.svg',
docx: '../../assets/docx-icon.svg',
pdf: '../../assets/pdf-icon.svg',
md: '../../assets/md-icon.svg',
txt: '../../assets/txt-icon.svg',
xls: '../../assets/xls-icon.svg',
xlsx: '../../assets/xlsx-icon.svg'
}
function getIconPath(documentName: string) {
const extension = documentName.split('.').pop()?.toLowerCase()
if (!documentName || !extension) return new URL(`${iconMap['doc']}`, import.meta.url).href
if (iconMap && extension && iconMap[extension]) {
return new URL(`${iconMap[extension]}`, import.meta.url).href
}
return new URL(`${iconMap['doc']}`, import.meta.url).href
}
</script>
<style lang="scss" scoped>
.paragraph-source-card-height {

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@ -117,6 +117,8 @@ const currentIndex = ref(null)
const inputTypeList = ref([
{ label: '文本框', value: 'TextInputConstructor' },
{ label: '单选框', value: 'SingleSelectConstructor' },
{ label: '多选框', value: 'MultiSelectConstructor' },
{ label: '选项卡', value: 'RadioCardConstructor' },
{ label: '日期', value: 'DatePickerConstructor' }
])

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@ -26,6 +26,8 @@
<el-tag type="info" class="info-tag" v-if="row.input_type === 'Slider'">滑块</el-tag>
<el-tag type="info" class="info-tag" v-if="row.input_type === 'SwitchInput'">开关</el-tag>
<el-tag type="info" class="info-tag" v-if="row.input_type === 'SingleSelect'">单选框</el-tag>
<el-tag type="info" class="info-tag" v-if="row.input_type === 'MultiSelect'">多选框</el-tag>
<el-tag type="info" class="info-tag" v-if="row.input_type === 'RadioCard'">选项卡</el-tag>
<el-tag type="info" class="info-tag" v-if="row.input_type === 'DatePicker'">日期</el-tag>
</template>
</el-table-column>

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@ -395,8 +395,8 @@ const switchFileUpload = () => {
if (form_data.value.file_upload_enable) {
form_data.value.file_upload_setting = form_data.value.file_upload_setting || default_upload_setting
props.nodeModel.graphModel.eventCenter.emit('refreshFileUploadConfig')
}
props.nodeModel.graphModel.eventCenter.emit('refreshFileUploadConfig')
}
const openFileUploadSettingDialog = () => {
FileUploadSettingDialogRef.value?.open(form_data.value.file_upload_setting)

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@ -65,12 +65,16 @@ const refreshFileUploadConfig = () => {
let fields = cloneDeep(props.nodeModel.properties.config.fields)
const form_data = props.nodeModel.graphModel.nodes
.filter((v: any) => v.id === 'base-node')
.filter((v: any) => v.properties.node_data.file_upload_enable)
.map((v: any) => cloneDeep(v.properties.node_data.file_upload_setting))
.filter((v: any) => v)
fields = fields.filter((item: any) => item.value !== 'image' && item.value !== 'document')
if (form_data.length === 0) {
set(props.nodeModel.properties.config, 'fields', fields)
return
}
fields = fields.filter((item: any) => item.value !== 'image' && item.value !== 'document')
let fileUploadFields = []
if (form_data[0].document) {
fileUploadFields.push({ label: '文档', value: 'document' })