feat: 初始化考培练系统项目
- 从服务器拉取完整代码 - 按框架规范整理项目结构 - 配置 Drone CI 测试环境部署 - 包含后端(FastAPI)、前端(Vue3)、管理端 技术栈: Vue3 + TypeScript + FastAPI + MySQL
This commit is contained in:
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187
docs/规划/dify 工作流/恩喜-00-SQL 执行器-考陪练专用.yml
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187
docs/规划/dify 工作流/恩喜-00-SQL 执行器-考陪练专用.yml
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@@ -0,0 +1,187 @@
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||||
app:
|
||||
description: 考陪练系统专用的 sql 执行器
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||||
icon: 🤖
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||||
icon_background: '#FFEAD5'
|
||||
mode: workflow
|
||||
name: 恩喜-00-SQL 执行器-考陪练专用
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||||
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retriever_resource:
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sensitive_word_avoidance:
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speech_to_text:
|
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suggested_questions: []
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title: 开始
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||||
type: start
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||||
variables:
|
||||
- label: SQL 语句
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max_length: 1000000
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||||
options: []
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||||
required: true
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||||
type: paragraph
|
||||
variable: sql
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||||
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body:
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value: "{\n \"sql\": \"{{#1758989617994.sql#}}\",\n \"params\":\
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\ {}\n }"
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type: raw-text
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||||
desc: ''
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headers: 'Content-Type:application/json
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|
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X-API-Key:dify-2025-kaopeilian'
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method: POST
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||||
params: ''
|
||||
retry_config:
|
||||
max_retries: 3
|
||||
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||||
retry_interval: 100
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||||
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|
||||
ssl_verify: false
|
||||
timeout:
|
||||
max_connect_timeout: 0
|
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max_read_timeout: 0
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||||
max_write_timeout: 0
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||||
title: HTTP 请求
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type: http-request
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||||
url: https://fw.ireborn.com.cn/api/v1/sql/execute-simple
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||||
variables: []
|
||||
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outputs:
|
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- value_selector:
|
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- body
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value_type: string
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width: 242
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viewport:
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zoom: 0.6935832932101428
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rag_pipeline_variables: []
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||||
771
docs/规划/dify 工作流/恩喜-01-知识点分析-考陪练.yml
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771
docs/规划/dify 工作流/恩喜-01-知识点分析-考陪练.yml
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@@ -0,0 +1,771 @@
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||||
app:
|
||||
description: 上传提炼知识点
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||||
icon: 🤖
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||||
icon_background: '#E4FBCC'
|
||||
mode: workflow
|
||||
name: 恩喜-01-知识点分析-考陪练
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use_icon_as_answer_icon: false
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||||
dependencies:
|
||||
- current_identifier: null
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||||
type: marketplace
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value:
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||||
marketplace_plugin_unique_identifier: langgenius/openrouter:0.0.22@99ef4cf4e08292c28806abaf24f295ed66e04e4b9e74385b487fd0767c7f56df
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||||
version: null
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kind: app
|
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version: 0.5.0
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workflow:
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conversation_variables: []
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||||
environment_variables: []
|
||||
features:
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file_upload:
|
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allowed_file_extensions:
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- .JPG
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- .JPEG
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- .PNG
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- .GIF
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- .WEBP
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- .SVG
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allowed_file_types:
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- image
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allowed_file_upload_methods:
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- local_file
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- remote_url
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enabled: false
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workflow_file_upload_limit: 10
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transfer_methods:
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- local_file
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- remote_url
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number_limits: 3
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retriever_resource:
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enabled: true
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sensitive_word_avoidance:
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enabled: false
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speech_to_text:
|
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enabled: false
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suggested_questions: []
|
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suggested_questions_after_answer:
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enabled: false
|
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text_to_speech:
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enabled: false
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language: ''
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graph:
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edges:
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- data:
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sourceType: document-extractor
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targetType: llm
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source: '1757516212204'
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nodes:
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|
||||
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|
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variables:
|
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- allowed_file_extensions: []
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|
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- document
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- audio
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- video
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- image
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|
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|
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|
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|
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- default: '1'
|
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label: course_id
|
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|
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|
||||
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|
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|
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|
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|
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|
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options: []
|
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|
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selected: false
|
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sourcePosition: right
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targetPosition: left
|
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type: custom
|
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width: 242
|
||||
- data:
|
||||
desc: ''
|
||||
is_array_file: true
|
||||
selected: false
|
||||
title: 文档提取器
|
||||
type: document-extractor
|
||||
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|
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- file
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selected: false
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sourcePosition: right
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targetPosition: left
|
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width: 242
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||||
- data:
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context:
|
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enabled: false
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variable_selector: []
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desc: ''
|
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error_strategy: fail-branch
|
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model:
|
||||
completion_params:
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||||
temperature: 0.1
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mode: chat
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name: google/gemini-3-pro-preview
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provider: langgenius/openrouter/openrouter
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prompt_template:
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role: system
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||||
text: "# 角色\n你是一个文件拆解高手，擅长将用户提交的内容进行精准拆分，拆分后的内容做个简单的优化处理使其更具可读性，但要尽量使用原文的原词原句。\n\
|
||||
\n## 技能\n### 技能 1: 内容拆分\n1. 当用户提交内容后，拆分为多段。\n2. 对拆分后的内容做简单优化，使其更具可读性，比如去掉奇怪符号（如换行符、乱码），若语句不通顺，或格式原因导致错位，则重新表达。用户可能会提交录音转文字的内容，因此可能是有错字的，注意修复这些小瑕疵。\n\
|
||||
3. 优化过程中，尽量使用原文的原词原句，特别是话术类，必须保持原有的句式、保持原词原句，而不是重构。\n4. 注意是拆分而不是重写，不需要润色，尽量不做任何处理。\n\
|
||||
5. 输出到 content。\n\n### 技能 2: 为每一个选段概括一个标题\n1. 为每个拆分出来的选段概括一个标题，并输出到 title。\n\
|
||||
\n### 技能 3: 为每一个选段说明与主题的关联\n1. 详细说明这一段与全文核心主题的关联，并输出到 topic_relation。\n\
|
||||
\n### 技能 4: 为每一个选段打上一个类型标签\n1. 用户提交的内容很有可能是一个课程、一篇讲义、一个产品的说明书，通常是用户希望他公司的员工或高管学习的知识。\n\
|
||||
2. 用户通常是医疗美容机构或轻医美、生活美容连锁品牌。\n3. 你要为每个选段打上一个知识类型的标签，最好是这几个类型中的一个：\"理论知识\"\
|
||||
, \"诊断设计\", \"操作步骤\", \"沟通话术\", \"案例分析\", \"注意事项\", \"技巧方法\", \"客诉处理\"\
|
||||
。当然你也可以为这个选段匹配一个更适合的。\n\n## 输出要求（严格按要求输出）\n请直接输出一个纯净的 JSON 数组（Array），不要包含\
|
||||
\ Markdown 标记（如 ```json），也不要包含任何解释性文字。格式如下：\n\n[\n {\n \"title\":\
|
||||
\ \"知识点标题\",\n \"content\": \"知识点内容\",\n \"topic_relation\": \"\
|
||||
知识点与主题的关系\",\n \"type\": \"知识点类型\"\n },\n {\n \"title\": \"第二个知识点标题\"\
|
||||
,\n \"content\": \"第二个知识点内容...\",\n \"topic_relation\": \"...\"\
|
||||
,\n \"type\": \"...\"\n }\n]\n\n## 限制\n- 仅围绕用户提交的内容进行拆分和关联标注，不涉及其他无关内容。\n\
|
||||
- 拆分后的内容必须最大程度保持与原文一致。\n- 关联说明需清晰合理。\n- 不论如何，不要拆分超过 20 段！"
|
||||
- id: bc1168ad-45de-475e-9365-8791306c8bb3
|
||||
role: user
|
||||
text: '课程主题：{{#1757513649648.course_name#}}
|
||||
|
||||
## 用户提交的内容：
|
||||
|
||||
{{#1757513748987.text#}}
|
||||
|
||||
|
||||
## 注意
|
||||
|
||||
- 以json的格式输出
|
||||
|
||||
- 不论如何，不要拆分超过20 段！'
|
||||
selected: false
|
||||
structured_output:
|
||||
schema:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
content:
|
||||
description: 知识点内容
|
||||
type: string
|
||||
title:
|
||||
description: 知识点标题
|
||||
type: string
|
||||
required:
|
||||
- title
|
||||
- content
|
||||
type: object
|
||||
structured_output_enabled: false
|
||||
title: 知识点提取
|
||||
type: llm
|
||||
variables: []
|
||||
vision:
|
||||
enabled: false
|
||||
height: 124
|
||||
id: '1757513757216'
|
||||
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|
||||
x: 1236
|
||||
y: 283
|
||||
positionAbsolute:
|
||||
x: 1236
|
||||
y: 283
|
||||
selected: false
|
||||
sourcePosition: right
|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 242
|
||||
- data:
|
||||
code: "import json\nimport re\ndef main(arg1: str) -> dict:\n # --- 内部辅助函数：清洗文本以适配\
|
||||
\ SQL ---\n def clean_text_for_sql(text):\n if not isinstance(text,\
|
||||
\ str):\n return text\n \n # 1. 【关键修改】将物理换行符替换为\
|
||||
\ SQL 转义换行符 (\\\\n)\n # 这样 SQL 语句本身是一行，但数据库会将其解释为换行\n text\
|
||||
\ = text.replace('\\n', '\\\\n').replace('\\r', '')\n \n #\
|
||||
\ 2. 将单引号替换为两个单引号（SQL 标准转义），防止截断\n text = text.replace(\"'\", \"\
|
||||
''\")\n \n return text\n try:\n if not arg1:\n \
|
||||
\ return {\"data\": []}\n \n # --- 1. 提取 JSON 字符串\
|
||||
\ (保持不变) ---\n json_str = arg1\n match = re.search(r'```json\\\
|
||||
s*(.*?)\\s*```', arg1, re.DOTALL)\n if match:\n json_str\
|
||||
\ = match.group(1)\n else:\n start = arg1.find('[')\n\
|
||||
\ end = arg1.rfind(']')\n if start != -1 and end !=\
|
||||
\ -1:\n json_str = arg1[start:end+1]\n # --- 2. 解析\
|
||||
\ JSON ---\n data_list = json.loads(json_str)\n \n \
|
||||
\ # --- 3. 校验与清洗数据 ---\n if not isinstance(data_list, list):\n \
|
||||
\ if isinstance(data_list, dict) and \"items\" in data_list:\n\
|
||||
\ data_list = data_list[\"items\"]\n else:\n \
|
||||
\ return {\"data\": []}\n if len(data_list) >= 30:\n\
|
||||
\ data_list = data_list[:29]\n \n # 遍历列表进行清洗\n\
|
||||
\ cleaned_list = []\n for item in data_list:\n \
|
||||
\ if isinstance(item, dict):\n cleaned_item = {\n \
|
||||
\ \"title\": clean_text_for_sql(item.get(\"title\", \"\")),\n\
|
||||
\ \"content\": clean_text_for_sql(item.get(\"content\"\
|
||||
, \"\")),\n \"topic_relation\": clean_text_for_sql(item.get(\"\
|
||||
topic_relation\", \"\")),\n \"type\": clean_text_for_sql(item.get(\"\
|
||||
type\", \"\"))\n }\n cleaned_list.append(cleaned_item)\n\
|
||||
\ \n return {\"data\": cleaned_list}\n \n except json.JSONDecodeError\
|
||||
\ as e:\n print(f\"JSON解析错误: {str(e)}\")\n return {\"data\"\
|
||||
: []}\n except Exception as e:\n print(f\"处理过程中发生错误: {str(e)}\"\
|
||||
)\n return {\"data\": []}"
|
||||
code_language: python3
|
||||
desc: ''
|
||||
error_strategy: fail-branch
|
||||
outputs:
|
||||
data:
|
||||
children: null
|
||||
type: array[object]
|
||||
retry_config:
|
||||
max_retries: 3
|
||||
retry_enabled: true
|
||||
retry_interval: 1000
|
||||
selected: false
|
||||
title: 转换格式
|
||||
type: code
|
||||
variables:
|
||||
- value_selector:
|
||||
- '1757513757216'
|
||||
- text
|
||||
value_type: string
|
||||
variable: arg1
|
||||
height: 117
|
||||
id: '1757516212204'
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
sourcePosition: right
|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 242
|
||||
- data:
|
||||
desc: ''
|
||||
outputs:
|
||||
- value_selector:
|
||||
- '1757687332404'
|
||||
- output
|
||||
value_type: array[string]
|
||||
variable: output
|
||||
selected: false
|
||||
title: 结束
|
||||
type: end
|
||||
height: 88
|
||||
id: '1757522230050'
|
||||
position:
|
||||
x: 2708
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 242
|
||||
- data:
|
||||
desc: ''
|
||||
outputs:
|
||||
- value_selector:
|
||||
- '1757513757216'
|
||||
- error_message
|
||||
value_type: string
|
||||
variable: reasoning_content
|
||||
selected: false
|
||||
title: 结束 2
|
||||
type: end
|
||||
height: 88
|
||||
id: '1757572091560'
|
||||
position:
|
||||
x: 1361.0212171476019
|
||||
y: 472.6567992168116
|
||||
positionAbsolute:
|
||||
x: 1361.0212171476019
|
||||
y: 472.6567992168116
|
||||
selected: false
|
||||
sourcePosition: right
|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 242
|
||||
- data:
|
||||
desc: ''
|
||||
outputs:
|
||||
- value_selector:
|
||||
- '1757516212204'
|
||||
- error_message
|
||||
value_type: string
|
||||
variable: result
|
||||
selected: false
|
||||
title: 结束 3
|
||||
type: end
|
||||
height: 88
|
||||
id: '1757576655478'
|
||||
position:
|
||||
x: 2123
|
||||
y: 283
|
||||
positionAbsolute:
|
||||
x: 2123
|
||||
y: 283
|
||||
selected: false
|
||||
sourcePosition: right
|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 242
|
||||
- data:
|
||||
desc: ''
|
||||
error_handle_mode: continue-on-error
|
||||
height: 410
|
||||
is_parallel: true
|
||||
iterator_input_type: array[object]
|
||||
iterator_selector:
|
||||
- '1757516212204'
|
||||
- data
|
||||
output_selector:
|
||||
- '1758575376121'
|
||||
- title
|
||||
output_type: array[string]
|
||||
parallel_nums: 10
|
||||
selected: false
|
||||
start_node_id: 1757687332404start
|
||||
title: 迭代
|
||||
type: iteration
|
||||
width: 1310.983478660764
|
||||
height: 410
|
||||
id: '1757687332404'
|
||||
position:
|
||||
x: 1939.6507421681436
|
||||
y: 396.2369270862009
|
||||
positionAbsolute:
|
||||
x: 1939.6507421681436
|
||||
y: 396.2369270862009
|
||||
selected: false
|
||||
sourcePosition: right
|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 1311
|
||||
zIndex: 1
|
||||
- data:
|
||||
desc: ''
|
||||
isInIteration: true
|
||||
selected: false
|
||||
title: ''
|
||||
type: iteration-start
|
||||
draggable: false
|
||||
height: 48
|
||||
id: 1757687332404start
|
||||
parentId: '1757687332404'
|
||||
position:
|
||||
x: 60
|
||||
y: 62
|
||||
positionAbsolute:
|
||||
x: 1999.6507421681436
|
||||
y: 458.2369270862009
|
||||
selectable: false
|
||||
selected: false
|
||||
sourcePosition: right
|
||||
targetPosition: left
|
||||
type: custom-iteration-start
|
||||
width: 44
|
||||
zIndex: 1002
|
||||
- data:
|
||||
code: "def main(arg1: dict) -> dict:\n # 上一个节点已经完成了所有清洗工作（包括换行符转义 \\n 和单引号转义\
|
||||
\ ''）\n # 这里只需要直接透传数据即可，不要再做任何处理\n return {\n \"title\": arg1.get(\"\
|
||||
title\"),\n \"content\": arg1.get(\"content\"),\n \"topic_relation\"\
|
||||
: arg1.get(\"topic_relation\"),\n \"type\": arg1.get(\"type\")\n\
|
||||
\ }"
|
||||
code_language: python3
|
||||
desc: ''
|
||||
isInIteration: true
|
||||
isInLoop: false
|
||||
iteration_id: '1757687332404'
|
||||
outputs:
|
||||
content:
|
||||
children: null
|
||||
type: string
|
||||
title:
|
||||
children: null
|
||||
type: string
|
||||
topic_relation:
|
||||
children: null
|
||||
type: string
|
||||
type:
|
||||
children: null
|
||||
type: string
|
||||
selected: false
|
||||
title: 内容提取
|
||||
type: code
|
||||
variables:
|
||||
- value_selector:
|
||||
- '1757687332404'
|
||||
- item
|
||||
value_type: object
|
||||
variable: arg1
|
||||
height: 52
|
||||
id: '1758575376121'
|
||||
parentId: '1757687332404'
|
||||
position:
|
||||
x: 204
|
||||
y: 60
|
||||
positionAbsolute:
|
||||
x: 2143.6507421681436
|
||||
y: 456.2369270862009
|
||||
selected: false
|
||||
sourcePosition: right
|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 242
|
||||
zIndex: 1002
|
||||
- data:
|
||||
outputs:
|
||||
- value_selector:
|
||||
- '1766636080995'
|
||||
- text
|
||||
value_type: string
|
||||
variable: error_message
|
||||
selected: true
|
||||
title: 结束 5
|
||||
type: end
|
||||
height: 88
|
||||
id: '1764240729694'
|
||||
position:
|
||||
x: 934
|
||||
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|
||||
positionAbsolute:
|
||||
x: 934
|
||||
y: 411
|
||||
selected: true
|
||||
sourcePosition: right
|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 242
|
||||
- data:
|
||||
error_strategy: fail-branch
|
||||
is_team_authorization: true
|
||||
paramSchemas:
|
||||
- auto_generate: null
|
||||
default: null
|
||||
form: llm
|
||||
human_description:
|
||||
en_US: ''
|
||||
ja_JP: ''
|
||||
pt_BR: ''
|
||||
zh_Hans: ''
|
||||
label:
|
||||
en_US: SQL 语句
|
||||
ja_JP: SQL 语句
|
||||
pt_BR: SQL 语句
|
||||
zh_Hans: SQL 语句
|
||||
llm_description: ''
|
||||
max: null
|
||||
min: null
|
||||
name: sql
|
||||
options: []
|
||||
placeholder:
|
||||
en_US: ''
|
||||
ja_JP: ''
|
||||
pt_BR: ''
|
||||
zh_Hans: ''
|
||||
precision: null
|
||||
required: true
|
||||
scope: null
|
||||
template: null
|
||||
type: string
|
||||
params:
|
||||
sql: ''
|
||||
plugin_id: null
|
||||
plugin_unique_identifier: null
|
||||
provider_icon:
|
||||
background: '#FFEAD5'
|
||||
content: 🤖
|
||||
provider_id: 2e7e915c-606c-4230-b4bd-ff95efb72f39
|
||||
provider_name: 恩喜-00-SQL 执行器-考陪练专用
|
||||
provider_type: workflow
|
||||
retry_config:
|
||||
max_retries: 3
|
||||
retry_enabled: true
|
||||
retry_interval: 1000
|
||||
selected: false
|
||||
title: 恩喜-00-SQL 执行器-考陪练专用
|
||||
tool_configurations: {}
|
||||
tool_description: 考陪练系统专用的 sql 执行器
|
||||
tool_label: 恩喜-00-SQL 执行器-考陪练专用
|
||||
tool_name: SQL_executor_enxi
|
||||
tool_node_version: '2'
|
||||
tool_parameters:
|
||||
sql:
|
||||
type: mixed
|
||||
value: DELETE FROM knowledge_points WHERE material_id = {{#1757513649648.material_id#}};
|
||||
type: tool
|
||||
height: 117
|
||||
id: '1766636080995'
|
||||
position:
|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
type: custom
|
||||
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|
||||
- data:
|
||||
isInIteration: true
|
||||
isInLoop: false
|
||||
is_team_authorization: true
|
||||
iteration_id: '1757687332404'
|
||||
paramSchemas:
|
||||
- auto_generate: null
|
||||
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|
||||
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|
||||
human_description:
|
||||
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|
||||
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|
||||
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|
||||
zh_Hans: ''
|
||||
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|
||||
en_US: SQL 语句
|
||||
ja_JP: SQL 语句
|
||||
pt_BR: SQL 语句
|
||||
zh_Hans: SQL 语句
|
||||
llm_description: ''
|
||||
max: null
|
||||
min: null
|
||||
name: sql
|
||||
options: []
|
||||
placeholder:
|
||||
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|
||||
ja_JP: ''
|
||||
pt_BR: ''
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
plugin_unique_identifier: null
|
||||
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|
||||
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|
||||
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|
||||
provider_id: 2e7e915c-606c-4230-b4bd-ff95efb72f39
|
||||
provider_name: 恩喜-00-SQL 执行器-考陪练专用
|
||||
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|
||||
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|
||||
title: 恩喜-00-SQL 执行器-考陪练专用
|
||||
tool_configurations: {}
|
||||
tool_description: 考陪练系统专用的 sql 执行器
|
||||
tool_label: 恩喜-00-SQL 执行器-考陪练专用
|
||||
tool_name: SQL_executor_enxi
|
||||
tool_node_version: '2'
|
||||
tool_parameters:
|
||||
sql:
|
||||
type: mixed
|
||||
value: INSERT INTO knowledge_points (course_id, material_id, name, description,
|
||||
type, source, topic_relation) VALUES ({{#1757513649648.course_id#}},
|
||||
{{#1757513649648.material_id#}}, '{{#1758575376121.title#}}', '{{#1758575376121.content#}}',
|
||||
'{{#1758575376121.type#}}', 1, '{{#1758575376121.topic_relation#}}');
|
||||
type: tool
|
||||
height: 52
|
||||
id: '1766636254081'
|
||||
parentId: '1757687332404'
|
||||
position:
|
||||
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|
||||
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|
||||
positionAbsolute:
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 242
|
||||
zIndex: 1002
|
||||
viewport:
|
||||
x: -154.69868384174993
|
||||
y: 184.48211749520988
|
||||
zoom: 0.5480921885368025
|
||||
rag_pipeline_variables: []
|
||||
658
docs/规划/dify 工作流/恩喜-02-试题生成器-考陪练.yml
Normal file
658
docs/规划/dify 工作流/恩喜-02-试题生成器-考陪练.yml
Normal file
@@ -0,0 +1,658 @@
|
||||
app:
|
||||
description: 动态生成考试题目
|
||||
icon: 🤖
|
||||
icon_background: '#FBE8FF'
|
||||
mode: workflow
|
||||
name: 恩喜-02-试题生成器-考陪练
|
||||
use_icon_as_answer_icon: false
|
||||
dependencies:
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text: "## 角色\n你是一位经验丰富的考试出题专家，能够依据用户提供的知识内容，结合用户的岗位特征，随机地生成{{#1759336370957.result#}}题考题。你会以专业、严谨且清晰的方式出题。\n\
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1、每道题目有多个正确答案。\n2、\"type\": \"multiple_choice\"\n3、其它事项同单选题。\n\n## 输出{{#1757517722090.true_false_count#}}道判断题\n\
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1、每道题目只有 \"正确\" 或 \"错误\" 两种答案。\n2、题目表述应明确清晰，避免歧义。\n3、题目应直接陈述事实或观点，便于做出是非判断。\n\
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,\n \"topic\": {\n \"title\": \"清晰完整的题目描述\"\n },\n \"\
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knowledge_point_id\": \" 出题来源知识点的id\",\n \"correct\": \"正确\", // 或\
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\ \"topic\": {\n \"title\": \"包含___空缺的题目描述\"\n },\n \"\
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knowledge_point_id\": \"出题来源知识点的id\",\n \"correct\": \"准确的填空答案\",\n\
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\ \"analysis\": \"解析答案的依据和相关知识点说明\"\n}\n\n- 严格按照以上格式输出\n\n### 输出{{#1757517722090.essay_count#}}道问答题\n\
|
||||
1. 问题应具体明确，限定回答范围\n2. 答案需条理清晰，突出核心要点\n3. 解析可补充扩展说明或评分要点\n4. 避免过于宽泛或需要主观发挥的问题\n\
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,\n \"topic\": {\n \"title\": \"需要详细回答的问题描述\"\n },\n \"\
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knowledge_point_id\": \"出题来源知识点的id\",\n \"correct\": \"完整准确的参考答案（分点或连贯表述）\"\
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||||
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|
||||
6. 正确答案必须使用其中一个选项中的全部原文，严禁修改\n7. knowledge_point_id 必须是唯一的，即每道题的知识点来源只允许填一个\
|
||||
\ id。\n\n请按以上要求生成题目，确保每道题目质量。"
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role: user
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text: '# 请针对岗位特征、待出题的知识点内容进行出题。
|
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|
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## 岗位信息：
|
||||
|
||||
{{#1766636474539.text#}}
|
||||
|
||||
|
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---
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{{#1766636566272.text#}}'
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code_language: python3
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title: 计算总题量
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||||
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|
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290
docs/规划/dify 工作流/恩喜-03-陪练知识准备-考陪练.yml
Normal file
290
docs/规划/dify 工作流/恩喜-03-陪练知识准备-考陪练.yml
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|
||||
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||||
|
||||
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||||
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||||
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||||
|
||||
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|
||||
|
||||
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||||
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
|
||||
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||||
|
||||
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|
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|
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|
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|
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273
docs/规划/dify 工作流/恩喜-04-与课程对话-考陪练.yml
Normal file
273
docs/规划/dify 工作流/恩喜-04-与课程对话-考陪练.yml
Normal file
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|
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1. 直接针对问题核心，避免冗长铺垫
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2. 使用通俗易懂的语言，必要时举例说明
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4. 如果知识库中没有相关内容，请如实告知
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|
||||
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|
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human_description:
|
||||
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|
||||
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|
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|
||||
zh_Hans: ''
|
||||
label:
|
||||
en_US: SQL 语句
|
||||
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||||
pt_BR: SQL 语句
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||||
zh_Hans: SQL 语句
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||||
llm_description: ''
|
||||
max: null
|
||||
min: null
|
||||
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placeholder:
|
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||||
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|
||||
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||||
tool_description: 考陪练系统专用的 sql 执行器
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||||
tool_label: 恩喜-00-SQL 执行器-考陪练专用
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tool_name: SQL_executor_enxi
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tool_node_version: '2'
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tool_parameters:
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||||
sql:
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||||
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||||
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||||
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||||
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||||
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id: '1766637272902'
|
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||||
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||||
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||||
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|
||||
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targetPosition: left
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||||
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|
||||
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|
||||
x: 264.91206019696983
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||||
y: 183.58250340914594
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||||
zoom: 0.523860819025226
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rag_pipeline_variables: []
|
||||
380
docs/规划/dify 工作流/恩喜-05-智能工牌能力分析与课程推荐-考陪练.yml
Normal file
380
docs/规划/dify 工作流/恩喜-05-智能工牌能力分析与课程推荐-考陪练.yml
Normal file
@@ -0,0 +1,380 @@
|
||||
app:
|
||||
description: 智能工牌能力分析与课程推荐
|
||||
icon: 🤖
|
||||
icon_background: '#FFEAD5'
|
||||
mode: workflow
|
||||
name: 恩喜-05-智能工牌能力分析与课程推荐-考陪练
|
||||
use_icon_as_answer_icon: false
|
||||
dependencies:
|
||||
- current_identifier: null
|
||||
type: marketplace
|
||||
value:
|
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marketplace_plugin_unique_identifier: langgenius/openrouter:0.0.22@99ef4cf4e08292c28806abaf24f295ed66e04e4b9e74385b487fd0767c7f56df
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||||
version: null
|
||||
kind: app
|
||||
version: 0.5.0
|
||||
workflow:
|
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conversation_variables: []
|
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environment_variables: []
|
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features:
|
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file_upload:
|
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allowed_file_extensions:
|
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- .JPG
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- .PNG
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- .GIF
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- .WEBP
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- .SVG
|
||||
allowed_file_types:
|
||||
- image
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allowed_file_upload_methods:
|
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- local_file
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- remote_url
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enabled: false
|
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|
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audio_file_size_limit: 50
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batch_count_limit: 5
|
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file_size_limit: 15
|
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image_file_batch_limit: 10
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image_file_size_limit: 10
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single_chunk_attachment_limit: 10
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video_file_size_limit: 100
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workflow_file_upload_limit: 10
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|
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|
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- local_file
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|
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|
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|
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|
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enabled: false
|
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text_to_speech:
|
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enabled: false
|
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|
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voice: ''
|
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graph:
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edges:
|
||||
- data:
|
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|
||||
isInLoop: false
|
||||
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|
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|
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|
||||
id: 1759259735113-source-1766637417515-target
|
||||
source: '1759259735113'
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|
||||
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|
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||||
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|
||||
- data:
|
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|
||||
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|
||||
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|
||||
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|
||||
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||||
zIndex: 0
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||||
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|
||||
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||||
targetType: llm
|
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id: 1766637451330-source-1759345165645-target
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source: '1766637451330'
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targetHandle: target
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nodes:
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|
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|
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|
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variables:
|
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|
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hint: ''
|
||||
label: dialogue_history
|
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max_length: 90000
|
||||
options: []
|
||||
placeholder: ''
|
||||
required: true
|
||||
type: paragraph
|
||||
variable: dialogue_history
|
||||
- default: ''
|
||||
hint: ''
|
||||
label: user_id
|
||||
max_length: 48
|
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options: []
|
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|
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|
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|
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variable: user_id
|
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height: 135
|
||||
id: '1759259735113'
|
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position:
|
||||
x: 80
|
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||||
positionAbsolute:
|
||||
x: 80
|
||||
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|
||||
selected: false
|
||||
sourcePosition: right
|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 242
|
||||
- data:
|
||||
outputs:
|
||||
- value_selector:
|
||||
- '1759345165645'
|
||||
- text
|
||||
value_type: string
|
||||
variable: result
|
||||
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|
||||
title: 结束
|
||||
type: end
|
||||
height: 88
|
||||
id: '1759259743998'
|
||||
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|
||||
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||||
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||||
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|
||||
targetPosition: left
|
||||
type: custom
|
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|
||||
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context:
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|
||||
variable_selector: []
|
||||
model:
|
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completion_params:
|
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temperature: 0.7
|
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mode: chat
|
||||
name: google/gemini-2.5-flash
|
||||
provider: langgenius/openrouter/openrouter
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prompt_template:
|
||||
- id: c5d3c09c-d33c-430a-a8f3-663627411364
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role: system
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||||
text: "你是话术分析专家，用户是一家轻医美连锁品牌的员工，用户提交的是用户自己与顾客的对话记录，你做分析与评分。并严格按照以下格式输出。并根据课程列表，为该用户提供选课建议。\n\
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||||
\n输出标准：\n{\n \"analysis\": {\n \"total_score\": 82,\n \"ability_dimensions\"\
|
||||
: [\n {\n \"name\": \"专业知识\",\n \"score\": 88,\n \
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\ \"feedback\": \"产品知识扎实，能准确回答客户问题。建议：继续深化对新产品的了解。\"\n },\n\
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||||
\ {\n \"name\": \"沟通技巧\",\n \"score\": 92,\n \
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||||
\ \"feedback\": \"语言表达清晰流畅，善于倾听客户需求。建议：可以多使用开放式问题引导。\"\n },\n \
|
||||
\ {\n \"name\": \"操作技能\",\n \"score\": 85,\n \"\
|
||||
feedback\": \"基本操作熟练，流程规范。建议：提升复杂场景的应对速度。\"\n },\n {\n \
|
||||
\ \"name\": \"客户服务\",\n \"score\": 90,\n \"feedback\"\
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214
docs/规划/dify 工作流/通用-答案判断器-考陪练.yml
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202
docs/规划/dify 工作流/通用-陪练分析报告-考陪练.yml
Normal file
202
docs/规划/dify 工作流/通用-陪练分析报告-考陪练.yml
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selected: false
|
||||
title: 开始
|
||||
type: start
|
||||
variables:
|
||||
- default: ''
|
||||
hint: ''
|
||||
label: dialogue_history
|
||||
max_length: 90000
|
||||
options: []
|
||||
placeholder: ''
|
||||
required: true
|
||||
type: paragraph
|
||||
variable: dialogue_history
|
||||
height: 88
|
||||
id: '1759259735113'
|
||||
position:
|
||||
x: 80
|
||||
y: 282
|
||||
positionAbsolute:
|
||||
x: 80
|
||||
y: 282
|
||||
selected: false
|
||||
sourcePosition: right
|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 242
|
||||
- data:
|
||||
outputs:
|
||||
- value_selector:
|
||||
- '1759345165645'
|
||||
- text
|
||||
value_type: string
|
||||
variable: result
|
||||
selected: true
|
||||
title: 结束
|
||||
type: end
|
||||
height: 88
|
||||
id: '1759259743998'
|
||||
position:
|
||||
x: 1037.0765156072616
|
||||
y: 266
|
||||
positionAbsolute:
|
||||
x: 1037.0765156072616
|
||||
y: 266
|
||||
selected: true
|
||||
sourcePosition: right
|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 242
|
||||
- data:
|
||||
context:
|
||||
enabled: false
|
||||
variable_selector: []
|
||||
model:
|
||||
completion_params:
|
||||
temperature: 0.7
|
||||
mode: chat
|
||||
name: google/gemini-2.5-flash
|
||||
provider: langgenius/openrouter/openrouter
|
||||
prompt_template:
|
||||
- id: c5d3c09c-d33c-430a-a8f3-663627411364
|
||||
role: system
|
||||
text: "你是话术分析专家，用户是一家轻医美连锁品牌的员工，用户提交的是用户自己与顾客的对话记录，你做分析与评分。并严格按照以下格式输出。\n\
|
||||
\n输出标准：\n{\n \"analysis\": {\n \"total_score\": 88,\n \"score_breakdown\"\
|
||||
: [\n {\"name\": \"开场技巧\", \"score\": 92, \"description\": \"开场自然，快速建立信任\"\
|
||||
},\n {\"name\": \"需求挖掘\", \"score\": 90, \"description\": \"能够有效识别客户需求\"\
|
||||
},\n {\"name\": \"产品介绍\", \"score\": 88, \"description\": \"产品介绍清晰，重点突出\"\
|
||||
},\n {\"name\": \"异议处理\", \"score\": 85, \"description\": \"处理客户异议还需加强\"\
|
||||
},\n {\"name\": \"成交技巧\", \"score\": 86, \"description\": \"成交话术运用良好\"\
|
||||
}\n ],\n \"ability_dimensions\": [\n {\"name\": \"沟通表达\", \"\
|
||||
score\": 90, \"feedback\": \"语言流畅，表达清晰，语调富有亲和力\"},\n {\"name\": \"\
|
||||
倾听理解\", \"score\": 92, \"feedback\": \"能够准确理解客户意图，给予恰当回应\"},\n {\"\
|
||||
name\": \"情绪控制\", \"score\": 88, \"feedback\": \"整体情绪稳定，面对异议时保持专业\"},\n\
|
||||
\ {\"name\": \"专业知识\", \"score\": 93, \"feedback\": \"对医美项目知识掌握扎实\"\
|
||||
},\n {\"name\": \"销售技巧\", \"score\": 87, \"feedback\": \"销售流程把控良好\"\
|
||||
},\n {\"name\": \"应变能力\", \"score\": 85, \"feedback\": \"面对突发问题能够快速反应\"\
|
||||
}\n ],\n \"dialogue_annotations\": [\n {\"sequence\": 1, \"\
|
||||
tags\": [\"亮点话术\"], \"comment\": \"开场专业，身份介绍清晰\"},\n {\"sequence\"\
|
||||
: 3, \"tags\": [\"金牌话术\"], \"comment\": \"巧妙引导，从客户角度出发\"},\n {\"\
|
||||
sequence\": 5, \"tags\": [\"亮点话术\"], \"comment\": \"类比生动，让客户容易理解\"},\n\
|
||||
\ {\"sequence\": 7, \"tags\": [\"金牌话术\"], \"comment\": \"专业解答，打消客户疑虑\"\
|
||||
}\n ],\n \"suggestions\": [\n {\"title\": \"控制语速\", \"content\"\
|
||||
: \"您的语速偏快，建议适当放慢，给客户更多思考时间\", \"example\": \"说完产品优势后，停顿2-3秒，观察客户反应\"\
|
||||
},\n {\"title\": \"多用开放式问题\", \"content\": \"增加开放式问题的使用，更深入了解客户需求\"\
|
||||
, \"example\": \"您对未来的保障有什么期望？而不是您需要保险吗？\"},\n {\"title\": \"强化成交信号识别\"\
|
||||
, \"content\": \"客户已经表现出兴趣时，要及时推进成交\", \"example\": \"当客户问费用多少时，这是购买信号，应该立即报价并促成\"\
|
||||
}\n ]\n }\n}"
|
||||
- id: 2da57109-d891-46a6-8094-6f6ff63f8e5b
|
||||
role: user
|
||||
text: '{{#1759259735113.dialogue_history#}}'
|
||||
selected: false
|
||||
title: LLM
|
||||
type: llm
|
||||
vision:
|
||||
enabled: false
|
||||
height: 88
|
||||
id: '1759345165645'
|
||||
position:
|
||||
x: 587
|
||||
y: 266
|
||||
positionAbsolute:
|
||||
x: 587
|
||||
y: 266
|
||||
selected: false
|
||||
sourcePosition: right
|
||||
targetPosition: left
|
||||
type: custom
|
||||
width: 242
|
||||
viewport:
|
||||
x: 49.06021215084729
|
||||
y: -2.7868017986568248
|
||||
zoom: 0.5755553326202135
|
||||
rag_pipeline_variables: []
|
||||
Reference in New Issue
Block a user