Udpate ChatQnA docker compose for Dataprep Update

ChatQnA/docker/gaudi/README.md

@@ -112,6 +112,8 @@ export RERANK_SERVICE_HOST_IP=${host_ip}
 export LLM_SERVICE_HOST_IP=${host_ip}
 export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/chatqna"
 export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/dataprep"
+export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6008/v1/dataprep/get_file"
+export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6009/v1/dataprep/delete_file"
 ```
 
 Note: Please replace with `host_ip` with you external IP address, do **NOT** use localhost.
@@ -231,6 +233,32 @@ curl -X POST "http://${host_ip}:6007/v1/dataprep" \
 
 This command updates a knowledge base by submitting a list of HTTP links for processing.
 
+Also, you are able to get the file/link list that you uploaded:
+
+```bash
+curl -X POST "http://${host_ip}:6008/v1/dataprep/get_file" \
+     -H "Content-Type: application/json"
+```
+
+To delete the file/link you uploaded:
+
+```bash
+# delete link
+curl -X POST "http://${host_ip}:6009/v1/dataprep/delete_file" \
+     -d '{"file_path": "https://opea.dev"}' \
+     -H "Content-Type: application/json"
+
+# delete file
+curl -X POST "http://${host_ip}:6009/v1/dataprep/delete_file" \
+     -d '{"file_path": "nke-10k-2023.pdf"}' \
+     -H "Content-Type: application/json"
+
+# delete all uploaded files and links
+curl -X POST "http://${host_ip}:6009/v1/dataprep/delete_file" \
+     -d '{"file_path": "all"}' \
+     -H "Content-Type: application/json"
+```
+
 ## Enable LangSmith for Monotoring Application (Optional)
 
 LangSmith offers tools to debug, evaluate, and monitor language models and intelligent agents. It can be used to assess benchmark data for each microservice. Before launching your services with `docker compose -f docker_compose.yaml up -d`, you need to enable LangSmith tracing by setting the `LANGCHAIN_TRACING_V2` environment variable to true and configuring your LangChain API key.

ChatQnA/docker/gaudi/docker_compose.yaml

@@ -18,6 +18,8 @@ services:
       - redis-vector-db
     ports:
       - "6007:6007"
+      - "6008:6008"
+      - "6009:6009"
     environment:
       no_proxy: ${no_proxy}
       http_proxy: ${http_proxy}
@@ -192,6 +194,8 @@ services:
       - http_proxy=${http_proxy}
       - CHAT_BASE_URL=${BACKEND_SERVICE_ENDPOINT}
       - UPLOAD_FILE_BASE_URL=${DATAPREP_SERVICE_ENDPOINT}
+      - GET_FILE=${DATAPREP_GET_FILE_ENDPOINT}
+      - DELETE_FILE=${DATAPREP_DELETE_FILE_ENDPOINT}
     ipc: host
     restart: always
 

ChatQnA/docker/gpu/README.md

@@ -100,6 +100,8 @@ export RERANK_SERVICE_HOST_IP=${host_ip}
 export LLM_SERVICE_HOST_IP=${host_ip}
 export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/chatqna"
 export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/dataprep"
+export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6008/v1/dataprep/get_file"
+export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6009/v1/dataprep/delete_file"
 ```
 
 Note: Please replace with `host_ip` with you external IP address, do **NOT** use localhost.
@@ -219,6 +221,32 @@ curl -X POST "http://${host_ip}:6007/v1/dataprep" \
 
 This command updates a knowledge base by submitting a list of HTTP links for processing.
 
+Also, you are able to get the file list that you uploaded:
+
+```bash
+curl -X POST "http://${host_ip}:6008/v1/dataprep/get_file" \
+     -H "Content-Type: application/json"
+```
+
+To delete the file/link you uploaded:
+
+```bash
+# delete link
+curl -X POST "http://${host_ip}:6009/v1/dataprep/delete_file" \
+     -d '{"file_path": "https://opea.dev"}' \
+     -H "Content-Type: application/json"
+
+# delete file
+curl -X POST "http://${host_ip}:6009/v1/dataprep/delete_file" \
+     -d '{"file_path": "nke-10k-2023.pdf"}' \
+     -H "Content-Type: application/json"
+
+# delete all uploaded files and links
+curl -X POST "http://${host_ip}:6009/v1/dataprep/delete_file" \
+     -d '{"file_path": "all"}' \
+     -H "Content-Type: application/json"
+```
+
 ## Enable LangSmith for Monotoring Application (Optional)
 
 LangSmith offers tools to debug, evaluate, and monitor language models and intelligent agents. It can be used to assess benchmark data for each microservice. Before launching your services with `docker compose -f docker_compose.yaml up -d`, you need to enable LangSmith tracing by setting the `LANGCHAIN_TRACING_V2` environment variable to true and configuring your LangChain API key.

ChatQnA/docker/gpu/docker_compose.yaml

@@ -18,6 +18,8 @@ services:
       - redis-vector-db
     ports:
       - "6007:6007"
+      - "6008:6008"
+      - "6009:6009"
     environment:
       no_proxy: ${no_proxy}
       http_proxy: ${http_proxy}
@@ -204,6 +206,8 @@ services:
       - http_proxy=${http_proxy}
       - CHAT_BASE_URL=${BACKEND_SERVICE_ENDPOINT}
       - UPLOAD_FILE_BASE_URL=${DATAPREP_SERVICE_ENDPOINT}
+      - GET_FILE=${DATAPREP_GET_FILE_ENDPOINT}
+      - DELETE_FILE=${DATAPREP_DELETE_FILE_ENDPOINT}
     ipc: host
     restart: always
 

ChatQnA/docker/xeon/README.md

@@ -128,7 +128,8 @@ Build frontend Docker image that enables Conversational experience with ChatQnA
 cd GenAIExamples/ChatQnA/docker/ui/
 export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/chatqna"
 export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/dataprep"
-docker build --no-cache -t opea/chatqna-conversation-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy --build-arg BACKEND_SERVICE_ENDPOINT=$BACKEND_SERVICE_ENDPOINT --build-arg DATAPREP_SERVICE_ENDPOINT=$DATAPREP_SERVICE_ENDPOINT -f ./docker/Dockerfile.react .
+export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6008/v1/dataprep/get_file"
+docker build --no-cache -t opea/chatqna-conversation-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy --build-arg BACKEND_SERVICE_ENDPOINT=$BACKEND_SERVICE_ENDPOINT --build-arg DATAPREP_SERVICE_ENDPOINT=$DATAPREP_SERVICE_ENDPOINT --build-arg DATAPREP_GET_FILE_ENDPOINT=$DATAPREP_GET_FILE_ENDPOINT -f ./docker/Dockerfile.react .
 cd ../../../..
 ```
 
@@ -190,6 +191,8 @@ export RERANK_SERVICE_HOST_IP=${host_ip}
 export LLM_SERVICE_HOST_IP=${host_ip}
 export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/chatqna"
 export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/dataprep"
+export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6008/v1/dataprep/get_file"
+export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6009/v1/dataprep/delete_file"
 ```
 
 Note: Please replace with `host_ip` with you external IP address, do not use localhost.
@@ -309,6 +312,32 @@ curl -X POST "http://${host_ip}:6007/v1/dataprep" \
 
 This command updates a knowledge base by submitting a list of HTTP links for processing.
 
+Also, you are able to get the file list that you uploaded:
+
+```bash
+curl -X POST "http://${host_ip}:6008/v1/dataprep/get_file" \
+     -H "Content-Type: application/json"
+```
+
+To delete the file/link you uploaded:
+
+```bash
+# delete link
+curl -X POST "http://${host_ip}:6009/v1/dataprep/delete_file" \
+     -d '{"file_path": "https://opea.dev"}' \
+     -H "Content-Type: application/json"
+
+# delete file
+curl -X POST "http://${host_ip}:6009/v1/dataprep/delete_file" \
+     -d '{"file_path": "nke-10k-2023.pdf"}' \
+     -H "Content-Type: application/json"
+
+# delete all uploaded files and links
+curl -X POST "http://${host_ip}:6009/v1/dataprep/delete_file" \
+     -d '{"file_path": "all"}' \
+     -H "Content-Type: application/json"
+```
+
 ## Enable LangSmith for Monotoring Application (Optional)
 
 LangSmith offers tools to debug, evaluate, and monitor language models and intelligent agents. It can be used to assess benchmark data for each microservice. Before launching your services with `docker compose -f docker_compose.yaml up -d`, you need to enable LangSmith tracing by setting the `LANGCHAIN_TRACING_V2` environment variable to true and configuring your LangChain API key.

ChatQnA/docker/xeon/docker_compose.yaml

@@ -18,6 +18,8 @@ services:
       - redis-vector-db
     ports:
       - "6007:6007"
+      - "6008:6008"
+      - "6009:6009"
     environment:
       no_proxy: ${no_proxy}
       http_proxy: ${http_proxy}
@@ -183,6 +185,8 @@ services:
       - http_proxy=${http_proxy}
       - CHAT_BASE_URL=${BACKEND_SERVICE_ENDPOINT}
       - UPLOAD_FILE_BASE_URL=${DATAPREP_SERVICE_ENDPOINT}
+      - GET_FILE=${DATAPREP_GET_FILE_ENDPOINT}
+      - DELETE_FILE=${DATAPREP_DELETE_FILE_ENDPOINT}
     ipc: host
     restart: always
   chaqna-xeon-conversation-ui-server: