feature: deer-flow支持从datamate获取外部接入模型 (#83)

* feature: deer-flow支持从datamate获取外部接入模型

.github/workflows/docker-image-backend-python.yml

@@ -4,13 +4,11 @@ on:
   push:
     branches: [ "main" ]
     paths:
-      - 'backend/**'
       - 'scripts/images/datamate-python/**'
       - '.github/workflows/docker-image-backend-python.yml'
   pull_request:
     branches: [ "main" ]
     paths:
-      - 'backend/**'
       - 'scripts/images/datamate-python/**'
       - '.github/workflows/docker-image-backend-python.yml'
   workflow_dispatch:

Makefile

@@ -174,7 +174,11 @@ mineru-k8s-uninstall:
 
 .PHONY: datamate-docker-install
 datamate-docker-install:
-	cd deployment/docker/datamate && export REGISTRY=$(REGISTRY) && docker compose -f docker-compose.yml up -d
+	@if docker compose ls --filter name=deer-flow | grep -q deer-flow; then \
+		cd deployment/docker/datamate && export NGINX_CONF="./backend-with-deer-flow.conf" && export REGISTRY=$(REGISTRY) && docker compose -f docker-compose.yml up -d; \
+	else \
+		cd deployment/docker/datamate && export REGISTRY=$(REGISTRY) && docker compose -f docker-compose.yml up -d; \
+	fi
 
 .PHONY: datamate-docker-uninstall
 datamate-docker-uninstall:

backend/services/operator-market-service/src/main/java/com/datamate/operator/interfaces/dto/OperatorsListPostRequest.java

@@ -4,6 +4,7 @@ import java.util.ArrayList;
 import java.util.List;
 
 
+import com.datamate.common.interfaces.PagingQuery;
 import lombok.Getter;
 import lombok.Setter;
 
@@ -13,12 +14,7 @@ import lombok.Setter;
 
 @Getter
 @Setter
-public class OperatorsListPostRequest {
+public class OperatorsListPostRequest extends PagingQuery {
-
-  private Integer page;
-
-  private Integer size;
-
   private List<String> categories = new ArrayList<>();
 
   private String operatorName;

backend/shared/domain-common/src/main/java/com/datamate/common/setting/application/ModelConfigApplicationService.java

@@ -58,9 +58,10 @@ public class ModelConfigApplicationService {
                 .baseUrl(modelConfig.getBaseUrl())
                 .apiKey(modelConfig.getApiKey())
                 .isEnabled(true)
+                .isDefault(modelConfig.getIsDefault())
                 .build();
         ModelClient.checkHealth(newConfig);
-        modelConfigRepository.save(newConfig);
+        modelConfigRepository.saveAndSetDefault(newConfig);
         return newConfig;
     }
 
@@ -74,7 +75,7 @@ public class ModelConfigApplicationService {
         modelConfig.setApiKey(updateModelRequest.getApiKey());
         modelConfig.setIsEnabled(true);
         ModelClient.checkHealth(modelConfig);
-        modelConfigRepository.updateById(modelConfig);
+        modelConfigRepository.updateAndSetDefault(modelConfig, updateModelRequest.getIsDefault());
         return modelConfig;
     }
 

backend/shared/domain-common/src/main/java/com/datamate/common/setting/domain/entity/ModelConfig.java

@@ -42,4 +42,9 @@ public class ModelConfig extends BaseEntity<String> {
      * 是否启用：1-启用，0-禁用
      */
     private Boolean isEnabled;
+
+    /**
+     * 是否默认：1-默认，0-非默认
+     */
+    private Boolean isDefault;
 }

backend/shared/domain-common/src/main/java/com/datamate/common/setting/domain/repository/ModelConfigRepository.java

@@ -3,6 +3,7 @@ package com.datamate.common.setting.domain.repository;
 import com.baomidou.mybatisplus.core.metadata.IPage;
 import com.baomidou.mybatisplus.extension.repository.IRepository;
 import com.datamate.common.setting.domain.entity.ModelConfig;
+import com.datamate.common.setting.domain.entity.ModelType;
 import com.datamate.common.setting.interfaces.rest.dto.QueryModelRequest;
 
 /**
@@ -19,4 +20,10 @@ public interface ModelConfigRepository extends IRepository<ModelConfig> {
      * @return 模型配置列表
      */
     IPage<ModelConfig> page(QueryModelRequest queryModelRequest);
+
+    void saveAndSetDefault(ModelConfig modelConfig);
+
+    void removeDefault(ModelType type);
+
+    void updateAndSetDefault(ModelConfig modelConfig, Boolean isDefault);
 }

backend/shared/domain-common/src/main/java/com/datamate/common/setting/infrastructure/persistence/impl/ModelConfigRepositoryImpl.java

@@ -1,15 +1,18 @@
 package com.datamate.common.setting.infrastructure.persistence.impl;
 
 import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
+import com.baomidou.mybatisplus.core.conditions.update.LambdaUpdateWrapper;
 import com.baomidou.mybatisplus.core.metadata.IPage;
 import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
 import com.baomidou.mybatisplus.extension.repository.CrudRepository;
 import com.datamate.common.setting.domain.entity.ModelConfig;
+import com.datamate.common.setting.domain.entity.ModelType;
 import com.datamate.common.setting.domain.repository.ModelConfigRepository;
 import com.datamate.common.setting.infrastructure.persistence.mapper.ModelConfigMapper;
 import com.datamate.common.setting.interfaces.rest.dto.QueryModelRequest;
 import lombok.RequiredArgsConstructor;
 import org.springframework.stereotype.Repository;
+import org.springframework.transaction.annotation.Transactional;
 import org.springframework.util.StringUtils;
 
 import java.util.Objects;
@@ -32,6 +35,36 @@ public class ModelConfigRepositoryImpl extends CrudRepository<ModelConfigMapper,
         return this.page(page, new LambdaQueryWrapper<ModelConfig>()
                 .eq(StringUtils.hasText(queryModelRequest.getProvider()), ModelConfig::getProvider, queryModelRequest.getProvider())
                 .eq(Objects.nonNull(queryModelRequest.getType()), ModelConfig::getType, queryModelRequest.getType())
-                .eq(Objects.nonNull(queryModelRequest.getIsEnabled()), ModelConfig::getIsEnabled, queryModelRequest.getIsEnabled()));
+                .eq(Objects.nonNull(queryModelRequest.getIsEnabled()), ModelConfig::getIsEnabled, queryModelRequest.getIsEnabled())
+                .eq(Objects.nonNull(queryModelRequest.getIsDefault()), ModelConfig::getIsDefault, queryModelRequest.getIsDefault()));
+    }
+
+    @Transactional
+    public void saveAndSetDefault(ModelConfig modelConfig) {
+        LambdaQueryWrapper<ModelConfig> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(ModelConfig::getType, modelConfig.getType()).eq(ModelConfig::getIsDefault, true);
+        if (this.getOne(queryWrapper) == null) {
+            modelConfig.setIsDefault(true);
+        } else {
+            removeDefault(modelConfig.getType());
+        }
+        super.save(modelConfig);
+    }
+
+    public void removeDefault(ModelType type) {
+        LambdaUpdateWrapper<ModelConfig> updateWrapper = new LambdaUpdateWrapper<>();
+        updateWrapper.set(ModelConfig::getIsDefault, false)
+                .eq(ModelConfig::getType, type)
+                .eq(ModelConfig::getIsDefault, true);
+        this.update(updateWrapper);
+    }
+
+    @Transactional
+    public void updateAndSetDefault(ModelConfig modelConfig, Boolean isDefault) {
+        if (!modelConfig.getIsDefault() && isDefault) {
+            removeDefault(modelConfig.getType());
+        }
+        modelConfig.setIsDefault(isDefault);
+        this.updateById(modelConfig);
     }
 }

backend/shared/domain-common/src/main/java/com/datamate/common/setting/interfaces/rest/dto/CreateModelRequest.java

@@ -43,4 +43,9 @@ public class CreateModelRequest {
      * 是否启用：1-启用，0-禁用
      */
     private Boolean isEnabled;
+
+    /**
+     * 是否默认：1-默认，0-非默认
+     */
+    private Boolean isDefault;
 }

backend/shared/domain-common/src/main/java/com/datamate/common/setting/interfaces/rest/dto/QueryModelRequest.java

@@ -24,4 +24,6 @@ public class QueryModelRequest extends PagingQuery {
     private ModelType type;
 
     private Boolean isEnabled;
+
+    private Boolean isDefault;
 }

frontend/src/pages/SettingsPage/ModelAccess.tsx

@@ -8,7 +8,7 @@ import {
   Table,
   Tooltip,
   Popconfirm,
-  message,
+  message, Switch,
 } from "antd";
 import {
   EditOutlined,
@@ -374,6 +374,14 @@ export default function EnvironmentAccess() {
           >
             <Select options={typeOptions} placeholder="选择模型类型"></Select>
           </Form.Item>
+          <Form.Item
+            name="isDefault"
+            label="设为默认"
+            required
+            tooltip="当模型类型下仅有一个模型服务时，自动将其设为默认值。"
+          >
+            <Switch />
+          </Form.Item>
         </Form>
       </Modal>
     </>

runtime/deer-flow/feature_collection.patch

@@ -1,177 +0,0 @@
-diff --git a/src/rag/milvus.py b/src/rag/milvus.py
-index de589d4..c1b9b98 100644
---- a/src/rag/milvus.py
-+++ b/src/rag/milvus.py
-@@ -9,7 +9,7 @@ from typing import Any, Dict, Iterable, List, Optional, Sequence, Set
- from langchain_milvus.vectorstores import Milvus as LangchainMilvus
- from langchain_openai import OpenAIEmbeddings
- from openai import OpenAI
--from pymilvus import CollectionSchema, DataType, FieldSchema, MilvusClient
-+from pymilvus import CollectionSchema, DataType, FieldSchema, MilvusClient, utility
- 
- from src.config.loader import get_bool_env, get_int_env, get_str_env
- from src.rag.retriever import Chunk, Document, Resource, Retriever
-@@ -397,6 +397,36 @@ class MilvusRetriever(Retriever):
-         except Exception as e:
-             raise ConnectionError(f"Failed to connect to Milvus: {str(e)}")
- 
-+    def _connect_with_collection(self, collection_name) -> None:
-+        """Create the underlying Milvus client (idempotent)."""
-+        try:
-+            # Check if using Milvus Lite (file-based) vs server-based Milvus
-+            if self._is_milvus_lite():
-+                # Use MilvusClient for Milvus Lite (local file database)
-+                self.client = MilvusClient(self.uri)
-+                # Ensure collection exists
-+                self._ensure_collection_exists()
-+            else:
-+                connection_args = {
-+                    "uri": self.uri,
-+                }
-+                # Add user/password only if provided
-+                if self.user:
-+                    connection_args["user"] = self.user
-+                if self.password:
-+                    connection_args["password"] = self.password
-+
-+                # Create LangChain client (it will handle collection creation automatically)
-+                self.client = LangchainMilvus(
-+                    embedding_function=self.embedding_model,
-+                    collection_name=collection_name,
-+                    connection_args=connection_args,
-+                    # optional (if collection already exists with different schema, be careful)
-+                    drop_old=False,
-+                )
-+        except Exception as e:
-+            raise ConnectionError(f"Failed to connect to Milvus: {str(e)}")
-+
-     def _is_milvus_lite(self) -> bool:
-         """Return True if the URI points to a local Milvus Lite file.
-         Milvus Lite uses local file paths (often ``*.db``) without an HTTP/HTTPS
-@@ -476,26 +506,12 @@ class MilvusRetriever(Retriever):
-             else:
-                 # Use similarity_search_by_vector for lightweight listing.
-                 # If a query is provided embed it; else use a zero vector.
--                docs: Iterable[Any] = self.client.similarity_search(
--                    query,
--                    k=100,
--                    expr="source == 'examples'",  # Limit to 100 results
--                )
--                for d in docs:
--                    meta = getattr(d, "metadata", {}) or {}
--                    # check if the resource is in the list of resources
--                    if resources and any(
--                        r.uri == meta.get(self.url_field, "")
--                        or r.uri == f"milvus://{meta.get(self.id_field, '')}"
--                        for r in resources
--                    ):
--                        continue
-+                connections = utility.list_collections(using=f"{self.uri}-{self.user}")
-+                for connection in connections:
-                     resources.append(
-                         Resource(
--                            uri=meta.get(self.url_field, "")
--                            or f"milvus://{meta.get(self.id_field, '')}",
--                            title=meta.get(self.title_field, "")
--                            or meta.get(self.id_field, "Unnamed"),
-+                            uri=f"milvus://{connection}",
-+                            title=connection,
-                             description="Stored Milvus document",
-                         )
-                     )
-@@ -621,38 +637,32 @@ class MilvusRetriever(Retriever):
- 
-             else:
-                 # For LangChain Milvus, use similarity search
--                search_results = self.client.similarity_search_with_score(
--                    query=query, k=self.top_k
--                )
-+                if not resources:
-+                    return []
- 
-                 documents = {}
-+                for resource in resources:
-+                    self._connect_with_collection(resource.title)
-+                    search_results = self.client.similarity_search_with_score(
-+                        query=query, k=self.top_k
-+                    )
- 
--                for doc, score in search_results:
--                    metadata = doc.metadata or {}
--                    doc_id = metadata.get(self.id_field, "")
--                    title = metadata.get(self.title_field, "")
--                    url = metadata.get(self.url_field, "")
--                    content = doc.page_content
--
--                    # Skip if resource filtering is requested and this doc is not in the list
--                    if resources:
--                        doc_in_resources = False
--                        for resource in resources:
--                            if (url and url in resource.uri) or doc_id in resource.uri:
--                                doc_in_resources = True
--                                break
--                        if not doc_in_resources:
--                            continue
--
--                    # Create or update document
--                    if doc_id not in documents:
--                        documents[doc_id] = Document(
--                            id=doc_id, url=url, title=title, chunks=[]
--                        )
-+                    for doc, score in search_results:
-+                        metadata = doc.metadata or {}
-+                        doc_id = metadata.get(self.id_field, "")
-+                        title = metadata.get(self.title_field, "")
-+                        url = metadata.get(self.url_field, "")
-+                        content = doc.page_content
-+
-+                        # Create or update document
-+                        if doc_id not in documents:
-+                            documents[doc_id] = Document(
-+                                id=doc_id, url=url, title=title, chunks=[]
-+                            )
- 
--                    # Add chunk to document
--                    chunk = Chunk(content=content, similarity=score)
--                    documents[doc_id].chunks.append(chunk)
-+                        # Add chunk to document
-+                        chunk = Chunk(content=content, similarity=score)
-+                        documents[doc_id].chunks.append(chunk)
- 
-                 return list(documents.values())
- 
-diff --git a/web/src/components/deer-flow/theme-provider-wrapper.tsx b/web/src/components/deer-flow/theme-provider-wrapper.tsx
-index 6da0db8..1a99bcf 100644
---- a/web/src/components/deer-flow/theme-provider-wrapper.tsx
-+++ b/web/src/components/deer-flow/theme-provider-wrapper.tsx
-@@ -18,9 +18,9 @@ export function ThemeProviderWrapper({
-   return (
-     <ThemeProvider
-       attribute="class"
--      defaultTheme={"dark"}
-+      defaultTheme={"light"}
-       enableSystem={isChatPage}
--      forcedTheme={isChatPage ? undefined : "dark"}
-+      forcedTheme={isChatPage ? undefined : "light"}
-       disableTransitionOnChange
-     >
-       {children}
-diff --git a/web/src/core/api/resolve-service-url.ts b/web/src/core/api/resolve-service-url.ts
-index a87b777..d93e987 100644
---- a/web/src/core/api/resolve-service-url.ts
-+++ b/web/src/core/api/resolve-service-url.ts
-@@ -4,9 +4,13 @@
- import { env } from "~/env";
- 
- export function resolveServiceURL(path: string) {
--  let BASE_URL = env.NEXT_PUBLIC_API_URL ?? "http://localhost:8000/api/";
-+  let BASE_URL = env.NEXT_PUBLIC_API_URL ?? "/api/";
-   if (!BASE_URL.endsWith("/")) {
-     BASE_URL += "/";
-   }
-+
-+  const origin = window.location.origin;
-+  BASE_URL = origin + BASE_URL;
-+
-   return new URL(path, BASE_URL).toString();
- }

runtime/ops/examples/test_operator/__init__.py

@@ -0,0 +1,6 @@
+# -*- coding: utf-8 -*-
+
+from datamate.core.base_op import OPERATORS
+
+OPERATORS.register_module(module_name='TestMapper',
+                          module_path="ops.user.test_operator.process")

runtime/ops/examples/test_operator/metadata.yml

@@ -0,0 +1,85 @@
+name: '测试算子'
+description: '这是一个测试算子。'
+language: 'python'
+vendor: 'huawei'
+raw_id: 'TestMapper'
+version: '1.0.0'
+modal: 'text'
+effect:
+  before: '使用方式很简单，只需要将代码放入Markdown文本中即可，富文本格式可直接复制表情😀使用。'
+  after: '使用方式很简单，只需要将代码放入Markdown文本中即可，富文本格式可直接复制表情使用。'
+inputs: 'text'
+outputs: 'text'
+settings:
+  sliderTest:
+    name: '滑窗测试'
+    description: '这是一个测试滑窗。'
+    type: 'slider'
+    defaultVal: 0.5
+    min: 0
+    max: 1
+    step: 0.1
+  switchTest:
+    name: '开关测试'
+    description: '这是一个开关测试。'
+    type: 'switch'
+    defaultVal: 'true'
+    required: false
+    checkedLabel: '选中'
+    unCheckedLabel: '未选中'
+  radioTest:
+    name: '单选测试'
+    description: '这是一个单选测试。'
+    type: 'radio'
+    defaultVal: 'option1'
+    required: false
+    options:
+      - label: '选项1'
+        value: 'option1'
+      - label: '选项2'
+        value: 'option2'
+  selectTest:
+    name: '下拉框测试'
+    description: '这是一个下拉框测试。'
+    type: 'select'
+    defaultVal: 'option1'
+    required: false
+    options:
+      - label: '选项1'
+        value: 'option1'
+      - label: '选项2'
+        value: 'option2'
+  rangeTest:
+    name: '范围测试'
+    description: '这是一个范围框测试。'
+    type: 'range'
+    properties:
+      - name: 'rangeLeft'
+        type: 'inputNumber'
+        defaultVal: 100
+        min: 0
+        max: 10000
+        step: 1
+      - name: 'rangeRight'
+        type: 'inputNumber'
+        defaultVal: 8000
+        min: 0
+        max: 10000
+        step: 1
+  checkboxTest:
+    name: '多选框测试'
+    description: '这是一个多选框测试。'
+    type: 'checkbox'
+    defaultVal: 'option1,option2'
+    required: false
+    options:
+      - label: '选项1'
+        value: 'option1'
+      - label: '选项2'
+        value: 'option2'
+  inputTest:
+    name: '输入框测试'
+    description: '这是一个输入框测试。'
+    type: 'input'
+    defaultVal: 'Test Input'
+    required: false

runtime/ops/examples/test_operator/process.py

@@ -0,0 +1,10 @@
+
+from typing import Dict, Any
+
+from datamate.core.base_op import Mapper
+
+
+class TestMapper(Mapper):
+    def execute(self, sample: Dict[str, Any]) -> Dict[str, Any]:
+        sample[self.text_key] += "\n####################\n"
+        return sample

runtime/ops/examples/text_length_filter/metadata.json

@@ -1,49 +0,0 @@
-{
-  "name": "text_length_filter",
-  "displayName": "文本长度过滤器",
-  "version": "1.0.0",
-  "author": "DataMate Team",
-  "description": "根据文本长度过滤数据，支持最小和最大长度限制",
-  "category": "数据清洗",
-  "type": "CUSTOM",
-  "inputs": [
-    {
-      "name": "input_data",
-      "type": "array",
-      "description": "输入文本数组",
-      "required": true
-    }
-  ],
-  "outputs": [
-    {
-      "name": "filtered_data",
-      "type": "array",
-      "description": "过滤后的文本数组"
-    }
-  ],
-  "parameters": [
-    {
-      "name": "min_length",
-      "type": "integer",
-      "description": "最小文本长度",
-      "default": 10,
-      "min": 0
-    },
-    {
-      "name": "max_length",
-      "type": "integer",
-      "description": "最大文本长度",
-      "default": 1000,
-      "min": 1
-    },
-    {
-      "name": "text_field",
-      "type": "string",
-      "description": "文本字段名称（如果输入是对象数组）",
-      "default": "text"
-    }
-  ],
-  "tags": ["文本处理", "数据过滤", "长度检查"],
-  "documentation": "https://docs.datamate.com/operators/text-length-filter",
-  "repository": "https://github.com/datamate/operators/tree/main/text-length-filter"
-}

runtime/ops/examples/text_length_filter/operator.py

@@ -1,135 +0,0 @@
-"""
-文本长度过滤器算子
-根据设定的最小和最大长度过滤文本数据
-"""
-
-import json
-import logging
-from typing import Dict, Any, List, Union
-
-logger = logging.getLogger(__name__)
-
-class TextLengthFilter:
-    """文本长度过滤器算子"""
-    
-    def __init__(self):
-        self.name = "text_length_filter"
-        self.version = "1.0.0"
-    
-    def execute(self, config: Dict[str, Any], context: Dict[str, Any]) -> Dict[str, Any]:
-        """执行文本长度过滤"""
-        
-        logger.info(f"开始执行算子: {self.name}")
-        
-        # 获取参数
-        parameters = config.get('parameters', {})
-        min_length = parameters.get('min_length', 10)
-        max_length = parameters.get('max_length', 1000)
-        text_field = parameters.get('text_field', 'text')
-        
-        logger.info(f"过滤参数: min_length={min_length}, max_length={max_length}, text_field={text_field}")
-        
-        # 验证参数
-        if min_length < 0:
-            raise ValueError("min_length must be >= 0")
-        if max_length < min_length:
-            raise ValueError("max_length must be >= min_length")
-        
-        # 读取输入数据
-        input_path = context['input_path']
-        with open(input_path, 'r', encoding='utf-8') as f:
-            input_data = json.load(f)
-        
-        if not isinstance(input_data, list):
-            raise ValueError("输入数据必须是数组格式")
-        
-        logger.info(f"输入数据条数: {len(input_data)}")
-        
-        # 执行过滤
-        filtered_data = []
-        stats = {
-            'total_input': len(input_data),
-            'too_short': 0,
-            'too_long': 0,
-            'filtered_out': 0,
-            'kept': 0
-        }
-        
-        for i, item in enumerate(input_data):
-            try:
-                # 提取文本内容
-                if isinstance(item, str):
-                    text = item
-                elif isinstance(item, dict) and text_field in item:
-                    text = str(item[text_field])
-                else:
-                    logger.warning(f"跳过无法处理的数据项 {i}: {type(item)}")
-                    stats['filtered_out'] += 1
-                    continue
-                
-                # 检查长度
-                text_length = len(text)
-                
-                if text_length < min_length:
-                    stats['too_short'] += 1
-                    stats['filtered_out'] += 1
-                elif text_length > max_length:
-                    stats['too_long'] += 1
-                    stats['filtered_out'] += 1
-                else:
-                    filtered_data.append(item)
-                    stats['kept'] += 1
-                
-                # 进度报告
-                if (i + 1) % 1000 == 0:
-                    progress = (i + 1) / len(input_data) * 100
-                    logger.info(f"处理进度: {progress:.1f}% ({i + 1}/{len(input_data)})")
-                    
-            except Exception as e:
-                logger.warning(f"处理数据项 {i} 时出错: {e}")
-                stats['filtered_out'] += 1
-                continue
-        
-        # 保存结果
-        output_path = context['output_path']
-        with open(output_path, 'w', encoding='utf-8') as f:
-            json.dump(filtered_data, f, ensure_ascii=False, indent=2)
-        
-        # 准备返回结果
-        result = {
-            'status': 'success',
-            'statistics': stats,
-            'filter_rate': stats['filtered_out'] / stats['total_input'] * 100 if stats['total_input'] > 0 else 0,
-            'output_path': output_path
-        }
-        
-        logger.info(f"过滤完成: {stats}")
-        logger.info(f"过滤率: {result['filter_rate']:.2f}%")
-        
-        return result
-    
-    def validate_config(self, config: Dict[str, Any]) -> List[str]:
-        """验证配置参数"""
-        errors = []
-        parameters = config.get('parameters', {})
-        
-        min_length = parameters.get('min_length')
-        max_length = parameters.get('max_length')
-        
-        if min_length is not None and not isinstance(min_length, int):
-            errors.append("min_length must be an integer")
-        
-        if max_length is not None and not isinstance(max_length, int):
-            errors.append("max_length must be an integer")
-        
-        if min_length is not None and min_length < 0:
-            errors.append("min_length must be >= 0")
-        
-        if min_length is not None and max_length is not None and max_length < min_length:
-            errors.append("max_length must be >= min_length")
-        
-        return errors
-
-def create_operator():
-    """算子工厂函数"""
-    return TextLengthFilter()

scripts/db/setting-management-init.sql

@@ -9,6 +9,7 @@ CREATE TABLE IF NOT EXISTS t_model_config
     api_key    VARCHAR(512) DEFAULT '' COMMENT 'API 密钥（无密钥则为空）',
     type       VARCHAR(50)  NOT NULL COMMENT '模型类型（如 chat、embedding）',
     is_enabled TINYINT      DEFAULT 1 COMMENT '是否启用：1-启用，0-禁用',
+    is_default TINYINT      DEFAULT 0 COMMENT '是否默认：1-默认，0-非默认',
     created_at TIMESTAMP    DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
     updated_at TIMESTAMP    DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
     created_by VARCHAR(255) COMMENT '创建者',

scripts/images/deer-flow-backend/Dockerfile

@@ -11,13 +11,10 @@ RUN apt-get update && apt-get install -y \
 WORKDIR /app
 
 # Copy the application into the container.
-RUN git clone https://github.com/bytedance/deer-flow.git /app
+RUN git clone https://github.com/ModelEngine-Group/deer-flow.git /app
-COPY runtime/deer-flow/feature_collection.patch /app/feature_collection.patch
 COPY runtime/deer-flow/.env /app/.env
 COPY runtime/deer-flow/conf.yaml /app/conf.yaml
 
-RUN git apply feature_collection.patch
-
 # Pre-cache the application dependencies.
 RUN --mount=type=cache,target=/root/.cache/uv \
     uv sync --locked --no-install-project

scripts/images/deer-flow-frontend/Dockerfile

@@ -4,7 +4,7 @@ FROM node:20-alpine AS deps
 RUN apk add --no-cache libc6-compat openssl git
 WORKDIR /app
 
-RUN git clone https://github.com/bytedance/deer-flow.git /deer-flow \
+RUN git clone https://github.com/ModelEngine-Group/deer-flow.git /deer-flow \
     && mv /deer-flow/web/* /app \
     && rm -rf /deer-flow
 # Install dependencies based on the preferred package manager
@@ -24,12 +24,9 @@ RUN apk add --no-cache git
 WORKDIR /app
 ARG NEXT_PUBLIC_API_URL="/deer-flow-backend"
 
-RUN git clone https://github.com/bytedance/deer-flow.git /deer-flow
+RUN git clone https://github.com/ModelEngine-Group/deer-flow.git /deer-flow
-
-COPY runtime/deer-flow/feature_collection.patch /deer-flow/feature_collection.patch
 
 RUN cd /deer-flow \
-    && git apply feature_collection.patch \
     && mv /deer-flow/web/* /app \
     && rm -rf /deer-flow