fix auto plugins error & docker default embeddings (#98)

* run with docker compose

* fix: OPENAI_API_BASE default empty

* fix: Adjust the environment variable settings during image build and runtime

* dockerize done

* Update docker instructions

* fix:backend overload

* add default embedding for auto plugin

---------

Co-authored-by: BlankCheng <[email protected]>

Dockerfile

@@ -2,8 +2,23 @@ FROM python:3.10.4-slim
 WORKDIR /app
 COPY backend ./backend
 COPY real_agents ./real_agents
-RUN pip install --no-cache-dir -r backend/requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple &&\
-    pip install pyecharts -i https://pypi.tuna.tsinghua.edu.cn/simple
+RUN set -eux; \
+    pip install --no-cache-dir -r backend/requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple; \
+    pip install --no-cache-dir pyecharts -i https://pypi.tuna.tsinghua.edu.cn/simple; \
+    savedAptMark="$(apt-mark showmanual)"; \
+	apt-get update; \
+	apt-get install -y --no-install-recommends git; \
+    git clone https://github.com/xlang-ai/instructor-embedding ; \
+    cd instructor-embedding ;\
+    pip install --no-cache-dir -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple; \
+    pip install --no-cache-dir InstructorEmbedding; \
+    cd .. ;\
+    rm -rf instructor-embedding;\
+    apt-mark auto '.*' > /dev/null; \
+	[ -z "$savedAptMark" ] || apt-mark manual $savedAptMark > /dev/null; \
+	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; \
+	rm -rf /var/lib/apt/lists/*
+
 ENV VARIABLE_REGISTER_BACKEND=redis \
     MESSAGE_MEMORY_MANAGER_BACKEND=database \
     JUPYTER_KERNEL_MEMORY_MANAGER_BACKEND=database \

backend/api/chat_plugin.py

@@ -233,7 +233,7 @@ def chat_xlang_plugin() -> Dict:
                                                                    user_intent)
                 selected_plugins = tool_selector.select_tools(query=query, top_k=5)
             else:
-                selected_plugins = random.sample(plugins, 5)
+                selected_plugins = [_plugin['id'] for _plugin in random.sample(plugins, 5)]
 
         # Build executor and run chat
         stream_handler = AgentStreamingStdOutCallbackHandler()