Integrate GraphRAG set_env to ut scripts. (#1943)
Integrate GraphRAG set_env to ut scripts. Add README.md for UT scripts. Signed-off-by: ZePan110 <ze.pan@intel.com>
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@@ -10,6 +10,9 @@ pushd "../../../../../" > /dev/null
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source .set_env.sh
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source .set_env.sh
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popd > /dev/null
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popd > /dev/null
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host_ip=$(hostname -I | awk '{print $1}')
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export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
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export HF_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
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export TEI_EMBEDDER_PORT=11633
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export TEI_EMBEDDER_PORT=11633
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export LLM_ENDPOINT_PORT=11634
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export LLM_ENDPOINT_PORT=11634
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export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
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export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
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@@ -17,7 +20,6 @@ export OPENAI_EMBEDDING_MODEL="text-embedding-3-small"
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export LLM_MODEL_ID="meta-llama/Meta-Llama-3.1-8B-Instruct"
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export LLM_MODEL_ID="meta-llama/Meta-Llama-3.1-8B-Instruct"
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export OPENAI_LLM_MODEL="gpt-4o"
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export OPENAI_LLM_MODEL="gpt-4o"
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export TEI_EMBEDDING_ENDPOINT="http://${host_ip}:${TEI_EMBEDDER_PORT}"
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export TEI_EMBEDDING_ENDPOINT="http://${host_ip}:${TEI_EMBEDDER_PORT}"
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export LLM_MODEL_ID="meta-llama/Meta-Llama-3.1-8B-Instruct"
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export TGI_LLM_ENDPOINT="http://${host_ip}:${LLM_ENDPOINT_PORT}"
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export TGI_LLM_ENDPOINT="http://${host_ip}:${LLM_ENDPOINT_PORT}"
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export NEO4J_PORT1=11631
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export NEO4J_PORT1=11631
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export NEO4J_PORT2=11632
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export NEO4J_PORT2=11632
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@@ -32,3 +34,4 @@ export MAX_TOTAL_TOKENS=8192
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export DATA_PATH="/mnt/nvme2n1/hf_cache"
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export DATA_PATH="/mnt/nvme2n1/hf_cache"
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export DATAPREP_PORT=11103
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export DATAPREP_PORT=11103
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export RETRIEVER_PORT=11635
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export RETRIEVER_PORT=11635
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export MEGA_SERVICE_PORT=8888
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15
GraphRAG/tests/README.md
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15
GraphRAG/tests/README.md
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@@ -0,0 +1,15 @@
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# GraphRAG E2E test scripts
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## Set the required environment variable
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```bash
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export HUGGINGFACEHUB_API_TOKEN="Your_Huggingface_API_Token"
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```
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## Run test
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On Intel Gaudi:
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```bash
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bash test_compose_on_gaudi.sh
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```
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@@ -41,31 +41,7 @@ function build_docker_images() {
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function start_services() {
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function start_services() {
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cd $WORKPATH/docker_compose/intel/hpu/gaudi
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cd $WORKPATH/docker_compose/intel/hpu/gaudi
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export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
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source set_env.sh
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export HF_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
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export TEI_EMBEDDER_PORT=11633
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export LLM_ENDPOINT_PORT=11634
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export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
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export OPENAI_EMBEDDING_MODEL="text-embedding-3-small"
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export LLM_MODEL_ID="meta-llama/Meta-Llama-3.1-8B-Instruct"
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export OPENAI_LLM_MODEL="gpt-4o"
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export TEI_EMBEDDING_ENDPOINT="http://${host_ip}:${TEI_EMBEDDER_PORT}"
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export LLM_MODEL_ID="meta-llama/Meta-Llama-3.1-8B-Instruct"
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export TGI_LLM_ENDPOINT="http://${host_ip}:${LLM_ENDPOINT_PORT}"
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export NEO4J_PORT1=11631
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export NEO4J_PORT2=11632
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export NEO4J_URI="bolt://${host_ip}:${NEO4J_PORT2}"
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export NEO4J_URL="bolt://${host_ip}:${NEO4J_PORT2}"
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export NEO4J_USERNAME="neo4j"
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export NEO4J_PASSWORD="neo4jtest"
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export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:5000/v1/dataprep/ingest"
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export LOGFLAG=True
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export MAX_INPUT_TOKENS=4096
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export MAX_TOTAL_TOKENS=8192
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export DATAPREP_PORT=11103
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export RETRIEVER_PORT=11635
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export MEGA_SERVICE_PORT=8888
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unset OPENAI_API_KEY
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unset OPENAI_API_KEY
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# Start Docker Containers
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# Start Docker Containers
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