Develop hsc (#58)

feature: 优化镜像构建/部署

runtime/deer-flow/.env.example

@@ -53,18 +53,17 @@ TAVILY_API_KEY=tvly-xxx
 # MOI_RETRIEVAL_SIZE=10
 # MOI_LIST_LIMIT=10
 
-
 # RAG_PROVIDER: milvus  (using free milvus instance on zilliz cloud: https://docs.zilliz.com/docs/quick-start )
 # RAG_PROVIDER=milvus
-# MILVUS_URI=<endpoint_of_self_hosted_milvus_or_zilliz_cloud>
-# MILVUS_USER=<username_of_self_hosted_milvus_or_zilliz_cloud>
-# MILVUS_PASSWORD=<password_of_self_hosted_milvus_or_zilliz_cloud>
+MILVUS_URI=http://milvus-standalone:19530
+MILVUS_USER=root
+MILVUS_PASSWORD=Milvus
+MILVUS_AUTO_LOAD_EXAMPLES=false
 # MILVUS_COLLECTION=documents
 # MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
 # MILVUS_EMBEDDING_BASE_URL=
 # MILVUS_EMBEDDING_MODEL=
 # MILVUS_EMBEDDING_API_KEY=
-# MILVUS_AUTO_LOAD_EXAMPLES=true
 
 # RAG_PROVIDER: milvus  (using milvus lite on Mac or Linux)
 # RAG_PROVIDER=milvus

runtime/ops/formatter/mineru_formatter/process.py

@@ -6,7 +6,6 @@ Description: MinerU PDF文本抽取
 Create: 2025/10/29 17:24
 """
 import json
-import os
 import time
 from loguru import logger
 from typing import Dict, Any
@@ -20,7 +19,7 @@ class MineruFormatter(Mapper):
 
     def __init__(self, *args, **kwargs):
         super(MineruFormatter, self).__init__(*args, **kwargs)
-        self.base_url = os.getenv("EXTERNAL_PDF_BASE_URL", "http://datamate-mineru:9001")
+        self.base_url = "http://datamate-mineru:9001"
         self.pdf_extract_url = f"{self.base_url}/api/pdf-extract"
 
     def execute(self, sample: Dict[str, Any]) -> Dict[str, Any]: