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

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* feature: deer-flow支持从datamate获取外部接入模型
This commit is contained in:
hhhhsc701
2025-11-13 20:13:16 +08:00
committed by GitHub
parent 604fd019d5
commit 5cef9cb273
19 changed files with 177 additions and 383 deletions
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2
.github/workflows/docker-image-backend-python.yml vendored
View File

@@ -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:

6
Makefile
View File

@@ -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:

8
backend/services/operator-market-service/src/main/java/com/datamate/operator/interfaces/dto/OperatorsListPostRequest.java
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@@ -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 {
private Integer page;
private Integer size;
public class OperatorsListPostRequest extends PagingQuery {
private List<String> categories = new ArrayList<>();
private String operatorName;

5
backend/shared/domain-common/src/main/java/com/datamate/common/setting/application/ModelConfigApplicationService.java
View File

@@ -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;
}

5
backend/shared/domain-common/src/main/java/com/datamate/common/setting/domain/entity/ModelConfig.java
View File

@@ -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;
}

7
backend/shared/domain-common/src/main/java/com/datamate/common/setting/domain/repository/ModelConfigRepository.java
View File

@@ -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);
}

35
backend/shared/domain-common/src/main/java/com/datamate/common/setting/infrastructure/persistence/impl/ModelConfigRepositoryImpl.java
View File

@@ -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);
}
}

5
backend/shared/domain-common/src/main/java/com/datamate/common/setting/interfaces/rest/dto/CreateModelRequest.java
View File

@@ -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;
}

2
backend/shared/domain-common/src/main/java/com/datamate/common/setting/interfaces/rest/dto/QueryModelRequest.java
View File

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

10
frontend/src/pages/SettingsPage/ModelAccess.tsx
View File

@@ -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>
</>

177
runtime/deer-flow/feature_collection.patch
View File

@@ -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();
}

6
runtime/ops/examples/test_operator/__init__.py Normal file
View File

@@ -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")

85
runtime/ops/examples/test_operator/metadata.yml Normal file
View File

@@ -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

10
runtime/ops/examples/test_operator/process.py Normal file
View File

@@ -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

49
runtime/ops/examples/text_length_filter/metadata.json
View File

@@ -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"
}

135
runtime/ops/examples/text_length_filter/operator.py
View File

@@ -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()

1
scripts/db/setting-management-init.sql
View File

@@ -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',

5
scripts/images/deer-flow-backend/Dockerfile
View File

@@ -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
COPY runtime/deer-flow/feature_collection.patch /app/feature_collection.patch
RUN git clone https://github.com/ModelEngine-Group/deer-flow.git /app
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

7
scripts/images/deer-flow-frontend/Dockerfile
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@@ -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
COPY runtime/deer-flow/feature_collection.patch /deer-flow/feature_collection.patch
RUN git clone https://github.com/ModelEngine-Group/deer-flow.git /deer-flow
RUN cd /deer-flow \
&& git apply feature_collection.patch \
&& mv /deer-flow/web/* /app \
&& rm -rf /deer-flow