feat(ops): add unified bench/deploy layers and P800 profile
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yy-fighting
parent
e885fd0dc2
commit
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3
.gitignore
vendored
3
.gitignore
vendored
@ -49,6 +49,9 @@ experiments/**/runtime/
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# 无关项目
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# 无关项目
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loomeval_yy/
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loomeval_yy/
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# 部署层运行时产物
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deploy/logs/
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.gitignore
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.gitignore
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dsv4_dspark_h20_sglang_tp_dp_matrix
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dsv4_dspark_h20_sglang_tp_dp_matrix
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@ -92,6 +92,14 @@ tmux new-session -d -s h20-vllm-adaptive \
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- 各平台的镜像 / venv / 模型路径见对应实验目录的 `config.env` 与 `platforms/<chip>.env`；**模型与数据集路径是机器相关的**，换机器时按实际路径调整。
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- 各平台的镜像 / venv / 模型路径见对应实验目录的 `config.env` 与 `platforms/<chip>.env`；**模型与数据集路径是机器相关的**，换机器时按实际路径调整。
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- 环境搭建规范见 `envs/README.md` 与 `envs/UV_ENV_SETUP.md`。
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- 环境搭建规范见 `envs/README.md` 与 `envs/UV_ENV_SETUP.md`。
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## 运维与部署分层
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- 模型团队用 `deploy/profiles/<platform>/<model>-<engine>.env` 与
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`python -m sskj.deploy start|stop|status` 管理服务生命周期。
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- 运维只跑测试：`python -m sskj.bench run --url http://<host>:<port> --platform <platform> --experiment <name> --profile smoke|matrix`。
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- 运维手册见 [`ops/README.md`](ops/README.md)，统一测试层复用现有
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`scripts/common/parse_backend.py` 等指标口径。
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## 注意事项
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## 注意事项
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- 提交内容：实验代码 + 最终产物（results.json / report.md / adaptive 的 jsonl 与 summary）；日志、raw_outputs、gpu_logs 不入库（`.gitignore` 已排除）。
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- 提交内容：实验代码 + 最终产物（results.json / report.md / adaptive 的 jsonl 与 summary）；日志、raw_outputs、gpu_logs 不入库（`.gitignore` 已排除）。
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27
deploy/profiles/p800/dsv4_w8a8_int8_sglang.env
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27
deploy/profiles/p800/dsv4_w8a8_int8_sglang.env
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@ -0,0 +1,27 @@
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# P800 + SGLang-XPU + DeepSeek-V4-Flash-INT8 deployment profile.
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# Model-team only. Ops should NOT run `python -m sskj.deploy`; they only
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# run `python -m sskj.bench` against the URL this profile serves.
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PLATFORM=p800
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MODEL_NAME=DeepSeek-V4-Flash-INT8
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ENGINE=sglang
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RUNTIME=docker
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DOCKER_IMAGE=iregistry.baidu-int.com/xpu/sglang-p800-pd-disagg-0510:20260511_4202
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CONTAINER_NAME=sglang-dsv4-flash-tpdp
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MODEL_PATH=/data1/models/DeepSeek-V4-Flash-INT8
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SERVED_MODEL_NAME=deepseek-v4-flash-int8
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PORT=30014
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HEALTH_PATH=/health
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HEALTH_WAIT_S=600
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CONTAINER_PYTHON=/root/miniconda/envs/python310_torch25_cuda/bin/python
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PATCH_ROOT=${ROOT_DIR}/platforms/patches/kunlun_p800
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DEVICE_VARS="XPU_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 CUDA_DEVICE_ORDER=OAM_ID"
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ENGINE_ENV="SGLANG_USE_TRANSFORMERS_V5_TOKENIZER=1 XMLIR_FORCE_USE_XPU_GRAPH=1 SGLANG_DSV4_MODE=2604 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True SGLANG_NSA_DUAL_STREAM=true SGLANG_NSA_QUANT_WQ_B_WK=false SGLANG_FP8_PAGED_MQA_LOGITS_TORCH=1 SGLANG_OPT_DEEPGEMM_HC_PRENORM=false SGLANG_OPT_USE_TILELANG_MHC_PRE=1 SGLANG_OPT_USE_TILELANG_MHC_POST=1 SGLANG_CLEAN_REQUEST_WHEN_RETRACT=1 SGLANG_SET_CPU_AFFINITY=1 SGLANG_OPT_USE_KLX_TOPK_KERNEL=1 XSGL_INTERTYPE_BFP16=1 ENABLE_FAST_BFP16_ATTN=1 XSGL_USE_DEEP_GEMM_BMM=1 XSGL_XDNN_QUANT=1 XSGL_FUSE_RMS_NORM_QUANT=1 XSGL_TRANSPOSE_MATMUL_WEIGHT=1 XINFER_QUANT_SDNN=1 XSGL_USE_MOE_SIGMOID_GROUP_TOPK_NORM=1 XSGL_EARLY_FIRST_TOKEN=1 XSGL_ENABLE_TGEMM_FP16=1 SGLANG_ENABLE_SPEC_V2=True SGLANG_ENABLE_OVERLAP_PLAN_STREAM=1 PYTHONDONTWRITEBYTECODE=1 XTORCH_OPS_LIB_DIR=/root/miniconda/envs/python310_torch25_cuda/lib/python3.10/site-packages/xtorch_ops XPU_RUNTIME_LIB_DIR=/root/miniconda/envs/python310_torch25_cuda/xcudart/lib BKCL_TREE_THRESHOLD=1048576 CUDA_ENABLE_P2P_NO_UVA=1 NCCL_IB_GID_INDEX=3 IS_DSV4=1 MC_CUSTOM_TOPO_JSON=/workspace/nic_priority_matrix_test.json SGLANG_DSV4_FP4_EXPERTS=false SGLANG_APPLY_CONFIG_BACKUP=auto BKCL_ENABLE_XDR=1 BKCL_RDMA_NICS=eth1,eth1,eth3,eth3,eth5,eth5,eth7,eth7 BKCL_RDMA_VERBS=1 XSGL_INT8_LM_HEAD=1 SGLANG_P800_ALL_GATHER_FALLBACK=0"
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DOCKER_FLAGS="--privileged --network host --ipc host --device /dev/xpu0:/dev/xpu0 --device /dev/xpu1:/dev/xpu1 --device /dev/xpu2:/dev/xpu2 --device /dev/xpu3:/dev/xpu3 --device /dev/xpu4:/dev/xpu4 --device /dev/xpu5:/dev/xpu5 --device /dev/xpu6:/dev/xpu6 --device /dev/xpu7:/dev/xpu7 --device /dev/xpuctrl:/dev/xpuctrl"
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VOLUMES="${MODEL_PATH}:/models:ro ${MODEL_PATH}:${MODEL_PATH}:ro ${PATCH_ROOT}/nic_priority_matrix_test.json:/workspace/nic_priority_matrix_test.json:ro"
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LAUNCH_ARGS="--host 0.0.0.0 --port ${PORT} --model-path /models --attention-backend nsa --nsa-prefill klxdsa --nsa-decode klxdsa --trust-remote-code --disable-custom-all-reduce --page-size 64 --mem-fraction-static 0.8 --tensor-parallel-size ${TP} --disable-shared-experts-fusion --quantization w8a8_int8 --kv-cache-dtype float16 --disable-piecewise-cuda-graph --cuda-graph-max-bs 32 --watchdog-timeout 3000000 --tool-call-parser deepseekv4 --reasoning-parser deepseek-v4 --constrained-json-disable-any-whitespace --enable-metrics --enable-request-time-stats-logging --context-length 65536"
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DP_FLAG="--dp-size ${DP}"
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BOOTSTRAP="cd /workspace; find /root/miniconda/envs/python310_torch25_cuda/lib/python3.10/site-packages/sglang -type d -name __pycache__ -exec rm -rf {} + 2>/dev/null || true; ${CONTAINER_PYTHON} -m pip install --upgrade safetensors -q; ${CONTAINER_PYTHON} -m pip install https://files.pythonhosted.org/packages/14/8b/2a1333a6455c6fad401c2285dee6f58016c55b1cb44cae3a31f8a9cc7d83/apache_tvm_ffi-0.1.0b2-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl -q; ${CONTAINER_PYTHON} -c \"import torch; torch.float8_e8m0fnu = torch.uint8; import runpy, sys; sys.argv[0] = 'sglang.launch_server'; runpy.run_module('sglang.launch_server', run_name='__main__')\" ${LAUNCH_ARGS}"
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29
deploy/profiles/p800/glm52_w8a8_int8_dynamic.env
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deploy/profiles/p800/glm52_w8a8_int8_dynamic.env
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@ -0,0 +1,29 @@
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# P800 + SGLang-XPU + GLM-5.2-W8A8-INT8-Dynamic deployment profile.
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# Supports the 2-node deploy previously living in deploy_glm52_2nodes.sh.
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# Model-team only. Ops should not run `python -m sskj.deploy`.
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PLATFORM=p800
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MODEL_NAME=GLM-5.2-W8A8-INT8-Dynamic
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ENGINE=sglang
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RUNTIME=docker
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DOCKER_IMAGE=iregistry.baidu-int.com/xpu/sglang-p800-pd-disagg-0510:20260511_4202
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CONTAINER_NAME=glm52_deploy
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MODEL_PATH=/data1/models/GLM-5.2-W8A8-INT8-Dynamic
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SERVED_MODEL_NAME=glm52
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PORT=30000
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HEALTH_PATH=/health
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HEALTH_WAIT_S=600
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NNODES=2
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MASTER_IP=10.100.11.2
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DIST_PORT=6311
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DP_SIZE=2
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DEVICE_VARS="XPU_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 CUDA_DEVICE_ORDER=OAM_ID"
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ENGINE_ENV="BKCL_ENABLE_XDR=1 BKCL_ENABLE_IBGDA=1 BKCL_SOCKET_IFNAME=eth0 BKCL_RDMA_NICS=eth1,eth2,eth3,eth4,eth5,eth6,eth7,eth8 BKCL_TREE_THRESHOLD=1048576 XSHMEM_MODE=1 XSHMEM_QP_NUM_PER_RANK=32 BKCL_RDMA_VERBS=1 NCCL_IB_GID_INDEX=3 CUDA_ENABLE_P2P_NO_UVA=1 SGLANG_USE_TRANSFORMERS_V5_TOKENIZER=1 XSGL_INTERTYPE_BFP16=1 ENABLE_FAST_BFP16_ATTN=1 XSGL_USE_DEEP_GEMM_BMM=1 XSGL_XDNN_QUANT=1 XSGL_FUSE_RMS_NORM_QUANT=1 XSGL_TRANSPOSE_MATMUL_WEIGHT=1 XINFER_QUANT_SDNN=1 XMLIR_FORCE_USE_XPU_GRAPH=1 XSGL_USE_MOE_SIGMOID_GROUP_TOPK_NORM=1 XSGL_INT8_LM_HEAD=1 SGLANG_CLEAN_REQUEST_WHEN_RETRACT=1 SGLANG_ENABLE_SPEC_V2=True SGLANG_ENABLE_OVERLAP_PLAN_STREAM=1 USE_FAST_BFP16_FC=1 XPUAPI_SDNN_BF16_ROUND_MODE=3 XMLIR_ENABLE_FAST_FC=true XSGL_FAST_SWIGLU=1 SGLANG_NSA_DUAL_STREAM=true SGLANG_NSA_QUANT_WQ_B_WK=false XPU_FLASH_ATTENTION_DECODER_USE_BALANCE=true"
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DOCKER_FLAGS="--privileged --network host --security-opt label=disable --shm-size 64m --device /dev/xpu0:/dev/xpu0 --device /dev/xpu1:/dev/xpu1 --device /dev/xpu2:/dev/xpu2 --device /dev/xpu3:/dev/xpu3 --device /dev/xpu4:/dev/xpu4 --device /dev/xpu5:/dev/xpu5 --device /dev/xpu6:/dev/xpu6 --device /dev/xpu7:/dev/xpu7 --device /dev/xpuctrl:/dev/xpuctrl"
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VOLUMES="${MODEL_PATH}:/models:ro ${MODEL_PATH}:${MODEL_PATH}:ro"
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LAUNCH_ARGS="--host 0.0.0.0 --port ${PORT} --model-path /models --dist-init-addr ${MASTER_IP}:${DIST_PORT} --nnodes ${NNODES} --node-rank ${NODE_RANK} --attention-backend nsa --nsa-prefill klxdsa --nsa-decode klxdsa --trust-remote-code --disable-custom-all-reduce --page-size 64 --mem-fraction-static 0.82 --max-prefill-tokens 65536 --chunked-prefill-size 16384 --max-running-requests 128 --tp-size 16 --ep-size 16 --dp-size ${DP_SIZE} --enable-dp-attention --moe-dense-tp-size 1 --enable-dp-lm-head --moe-a2a-backend deepep --deepep-mode auto --quantization w8a8_int8 --disable-shared-experts-fusion --kv-cache-dtype float16 --disable-radix-cache --watchdog-timeout 3000000 --tool-call-parser glm47 --reasoning-parser glm45 --enable-nsa-prefill-context-parallel --enable-single-batch-overlap"
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BOOTSTRAP="source /root/miniconda/bin/activate python310_torch25_cuda; cd /workspace; pip install --no-index --find-links=/workspace/ /workspace/transformers-5.3.0-py3-none-any.whl 2>/dev/null || true; nohup python3 -m sglang.launch_server ${LAUNCH_ARGS} > /workspace/sglang_log_${NODE_RANK}.log 2>&1 & sleep infinity"
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@ -16,6 +16,8 @@ source "${SCRIPT_DIR}/config.env"
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source "${SCRIPT_DIR}/adaptive_config.env"
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source "${SCRIPT_DIR}/adaptive_config.env"
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# shellcheck source=/dev/null
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# shellcheck source=/dev/null
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source "${SCRIPT_DIR}/../../../scripts/common/adaptive_bench_lib.sh"
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source "${SCRIPT_DIR}/../../../scripts/common/adaptive_bench_lib.sh"
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# shellcheck source=/dev/null
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source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
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ENGINE="sglang"
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ENGINE="sglang"
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ENGINE_PORT="$SGLANG_PORT"
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ENGINE_PORT="$SGLANG_PORT"
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@ -65,13 +67,10 @@ engine_stop_server() {
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}
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}
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engine_build_server_args() {
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engine_build_server_args() {
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# Keep in sync with the launch args in start_sglang_docker.sh.
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local tp="$1"
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local tp="$1"
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local dp="$2"
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local dp="$2"
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local args="--host 0.0.0.0 --port ${ENGINE_PORT} --model-path /models --attention-backend nsa --nsa-prefill klxdsa --nsa-decode klxdsa --trust-remote-code --disable-custom-all-reduce --page-size 64 --mem-fraction-static ${MEM_FRACTION_STATIC} --tensor-parallel-size ${tp} --disable-shared-experts-fusion --quantization w8a8_int8 --kv-cache-dtype float16 --disable-piecewise-cuda-graph --cuda-graph-max-bs 32 --watchdog-timeout 3000000 --tool-call-parser deepseekv4 --reasoning-parser deepseek-v4 --constrained-json-disable-any-whitespace --enable-metrics --enable-request-time-stats-logging --context-length ${CONTEXT_LENGTH}"
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local args
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if (( dp > 1 )); then
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args="$(deploy_render_args "${DEPLOY_PROFILE:-p800/dsv4_w8a8_int8_sglang}" "$tp" "$dp" "$ENGINE_PORT" "$MODEL_PATH")"
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args="${args} --dp-size ${dp}"
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fi
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printf '%s' "$args"
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printf '%s' "$args"
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}
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}
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@ -16,6 +16,8 @@ source "${SCRIPT_DIR}/config.env"
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source "${SCRIPT_DIR}/adaptive_config.env"
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source "${SCRIPT_DIR}/adaptive_config.env"
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# shellcheck source=/dev/null
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# shellcheck source=/dev/null
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source "${SCRIPT_DIR}/../../../scripts/common/adaptive_bench_lib.sh"
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source "${SCRIPT_DIR}/../../../scripts/common/adaptive_bench_lib.sh"
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# shellcheck source=/dev/null
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source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
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ENGINE="sglang"
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ENGINE="sglang"
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ENGINE_PORT="$SGLANG_PORT"
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ENGINE_PORT="$SGLANG_PORT"
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@ -65,13 +67,10 @@ engine_stop_server() {
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}
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}
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engine_build_server_args() {
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engine_build_server_args() {
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# Keep in sync with the launch args in start_sglang_docker.sh.
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local tp="$1"
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local tp="$1"
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local dp="$2"
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local dp="$2"
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local args="--host 0.0.0.0 --port ${ENGINE_PORT} --model-path /models --attention-backend nsa --nsa-prefill klxdsa --nsa-decode klxdsa --trust-remote-code --disable-custom-all-reduce --page-size 64 --mem-fraction-static ${MEM_FRACTION_STATIC} --tensor-parallel-size ${tp} --disable-shared-experts-fusion --quantization w8a8_int8 --kv-cache-dtype float16 --disable-piecewise-cuda-graph --cuda-graph-max-bs 32 --watchdog-timeout 3000000 --tool-call-parser deepseekv4 --reasoning-parser deepseek-v4 --constrained-json-disable-any-whitespace --enable-metrics --enable-request-time-stats-logging --context-length ${CONTEXT_LENGTH}"
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local args
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if (( dp > 1 )); then
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args="$(deploy_render_args "${DEPLOY_PROFILE:-p800/dsv4_w8a8_int8_sglang}" "$tp" "$dp" "$ENGINE_PORT" "$MODEL_PATH")"
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args="${args} --dp-size ${dp}"
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fi
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printf '%s' "$args"
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printf '%s' "$args"
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}
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}
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@ -11,6 +11,8 @@ source "${SCRIPT_DIR}/../../../scripts/common/lib.sh"
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source "${SCRIPT_DIR}/../../../scripts/common/platform.sh"
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source "${SCRIPT_DIR}/../../../scripts/common/platform.sh"
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# shellcheck source=/dev/null
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# shellcheck source=/dev/null
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source "${SCRIPT_DIR}/config.env"
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source "${SCRIPT_DIR}/config.env"
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# shellcheck source=/dev/null
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source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
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RUN_ID="${RUN_ID:-$(date '+%Y%m%d-%H%M%S')}"
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RUN_ID="${RUN_ID:-$(date '+%Y%m%d-%H%M%S')}"
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RESULT_BASE="${SCRIPT_DIR}/results"
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RESULT_BASE="${SCRIPT_DIR}/results"
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@ -61,14 +63,10 @@ stop_server() {
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}
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}
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build_server_args() {
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build_server_args() {
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# Keep in sync with the launch args in start_sglang_docker.sh.
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local tp="$1"
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local tp="$1"
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local dp="$2"
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local dp="$2"
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local args
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local args="--host 0.0.0.0 --port ${SGLANG_PORT} --model-path /models --attention-backend nsa --nsa-prefill klxdsa --nsa-decode klxdsa --trust-remote-code --disable-custom-all-reduce --page-size 64 --mem-fraction-static ${MEM_FRACTION_STATIC} --tensor-parallel-size ${tp} --disable-shared-experts-fusion --quantization w8a8_int8 --kv-cache-dtype float16 --disable-piecewise-cuda-graph --cuda-graph-max-bs 32 --watchdog-timeout 3000000 --tool-call-parser deepseekv4 --reasoning-parser deepseek-v4 --constrained-json-disable-any-whitespace --enable-metrics --enable-request-time-stats-logging --context-length ${CONTEXT_LENGTH}"
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args="$(deploy_render_args "${DEPLOY_PROFILE:-p800/dsv4_w8a8_int8_sglang}" "$tp" "$dp" "$SGLANG_PORT" "$MODEL_PATH")"
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if [[ "$dp" -gt 1 ]]; then
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args="${args} --dp-size ${dp}"
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fi
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printf '%s' "$args"
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printf '%s' "$args"
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}
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}
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@ -1,9 +1,6 @@
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#!/usr/bin/env bash
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#!/usr/bin/env bash
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# Start the P800 SGLang INT8 server in Docker for a given TP×DP configuration.
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# Start the P800 SGLang INT8 server through the shared deployment layer.
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# Usage: start_sglang_docker.sh <TP> <DP>
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# Usage: start_sglang_docker.sh <TP> <DP>
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#
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# Based on the proven P800 INT8 launch from dsv4_p800_long_context_matrix,
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# with --tensor-parallel-size/--dp-size parameterized per config.
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set -Eeuo pipefail
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set -Eeuo pipefail
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TP="${1:-}"
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TP="${1:-}"
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@ -20,157 +17,18 @@ source "${SCRIPT_DIR}/../../../scripts/common/lib.sh"
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source "${SCRIPT_DIR}/../../../scripts/common/platform.sh"
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source "${SCRIPT_DIR}/../../../scripts/common/platform.sh"
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# shellcheck source=/dev/null
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# shellcheck source=/dev/null
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source "${SCRIPT_DIR}/config.env"
|
source "${SCRIPT_DIR}/config.env"
|
||||||
|
# shellcheck source=/dev/null
|
||||||
|
source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
|
||||||
|
|
||||||
PORT="${SGLANG_PORT:-30014}"
|
|
||||||
RUNTIME_BASE="${RUNTIME_BASE:-${SCRIPT_DIR}/runtime}"
|
RUNTIME_BASE="${RUNTIME_BASE:-${SCRIPT_DIR}/runtime}"
|
||||||
mkdir -p "${RUNTIME_BASE}/logs"
|
mkdir -p "${RUNTIME_BASE}/logs"
|
||||||
SERVER_LOG="${RUNTIME_BASE}/logs/${EXPERIMENT}_sglang_docker_tp${TP}_dp${DP}_$(date +%Y%m%d_%H%M%S).log"
|
|
||||||
|
|
||||||
log "starting P800 SGLang INT8 server (tp=${TP}, dp=${DP})"
|
log "starting P800 SGLang INT8 server (tp=${TP}, dp=${DP}) via deploy profile"
|
||||||
log "model: ${MODEL_PATH}"
|
deploy_start \
|
||||||
log "port: ${PORT}"
|
"${DEPLOY_PROFILE:-p800/dsv4_w8a8_int8_sglang}" \
|
||||||
log "container: ${CONTAINER_NAME}"
|
"$TP" \
|
||||||
|
"$DP" \
|
||||||
# Stop any existing container with the same name.
|
"${RUNTIME_BASE}/logs" \
|
||||||
docker rm -f "$CONTAINER_NAME" 2>/dev/null || true
|
"${SGLANG_PORT:-30014}" \
|
||||||
|
"$MODEL_PATH" \
|
||||||
# Build device args.
|
"$CONTAINER_NAME"
|
||||||
device_args=""
|
|
||||||
for i in 0 1 2 3 4 5 6 7; do
|
|
||||||
device_args="${device_args} --device /dev/xpu${i}:/dev/xpu${i}"
|
|
||||||
done
|
|
||||||
device_args="${device_args} --device /dev/xpuctrl:/dev/xpuctrl"
|
|
||||||
|
|
||||||
# Environment variables required by the P800 SGLang INT8 image.
|
|
||||||
env_args=(
|
|
||||||
-e XPU_VISIBLE_DEVICES="${XPU_VISIBLE_DEVICES}"
|
|
||||||
-e CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES}"
|
|
||||||
-e CUDA_DEVICE_ORDER=OAM_ID
|
|
||||||
-e SGLANG_USE_TRANSFORMERS_V5_TOKENIZER=1
|
|
||||||
-e XMLIR_FORCE_USE_XPU_GRAPH=1
|
|
||||||
-e SGLANG_DSV4_MODE=2604
|
|
||||||
-e PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
|
|
||||||
-e SGLANG_NSA_DUAL_STREAM=true
|
|
||||||
-e SGLANG_NSA_QUANT_WQ_B_WK=false
|
|
||||||
-e SGLANG_FP8_PAGED_MQA_LOGITS_TORCH=1
|
|
||||||
-e SGLANG_OPT_DEEPGEMM_HC_PRENORM=false
|
|
||||||
-e SGLANG_OPT_USE_TILELANG_MHC_PRE=1
|
|
||||||
-e SGLANG_OPT_USE_TILELANG_MHC_POST=1
|
|
||||||
-e SGLANG_CLEAN_REQUEST_WHEN_RETRACT=1
|
|
||||||
-e SGLANG_SET_CPU_AFFINITY=1
|
|
||||||
-e SGLANG_OPT_USE_KLX_TOPK_KERNEL=1
|
|
||||||
-e XSGL_INTERTYPE_BFP16=1
|
|
||||||
-e ENABLE_FAST_BFP16_ATTN=1
|
|
||||||
-e XSGL_USE_DEEP_GEMM_BMM=1
|
|
||||||
-e XSGL_XDNN_QUANT=1
|
|
||||||
-e XSGL_FUSE_RMS_NORM_QUANT=1
|
|
||||||
-e XSGL_TRANSPOSE_MATMUL_WEIGHT=1
|
|
||||||
-e XINFER_QUANT_SDNN=1
|
|
||||||
-e XSGL_USE_MOE_SIGMOID_GROUP_TOPK_NORM=1
|
|
||||||
-e XSGL_EARLY_FIRST_TOKEN=1
|
|
||||||
-e XSGL_ENABLE_TGEMM_FP16=1
|
|
||||||
-e SGLANG_ENABLE_SPEC_V2=True
|
|
||||||
-e SGLANG_ENABLE_OVERLAP_PLAN_STREAM=1
|
|
||||||
-e PYTHONDONTWRITEBYTECODE=1
|
|
||||||
-e XTORCH_OPS_LIB_DIR=/root/miniconda/envs/python310_torch25_cuda/lib/python3.10/site-packages/xtorch_ops
|
|
||||||
-e XPU_RUNTIME_LIB_DIR=/root/miniconda/envs/python310_torch25_cuda/xcudart/lib
|
|
||||||
-e BKCL_TREE_THRESHOLD=1048576
|
|
||||||
-e CUDA_ENABLE_P2P_NO_UVA=1
|
|
||||||
-e NCCL_IB_GID_INDEX=3
|
|
||||||
-e IS_DSV4=1
|
|
||||||
-e MC_CUSTOM_TOPO_JSON=/workspace/nic_priority_matrix_test.json
|
|
||||||
# INT8 specific
|
|
||||||
-e SGLANG_DSV4_FP4_EXPERTS=false
|
|
||||||
-e SGLANG_APPLY_CONFIG_BACKUP=auto
|
|
||||||
-e BKCL_ENABLE_XDR=1
|
|
||||||
-e BKCL_RDMA_NICS=eth1,eth1,eth3,eth3,eth5,eth5,eth7,eth7
|
|
||||||
-e BKCL_RDMA_VERBS=1
|
|
||||||
-e XSGL_INT8_LM_HEAD=1
|
|
||||||
-e SGLANG_P800_ALL_GATHER_FALLBACK=0
|
|
||||||
)
|
|
||||||
|
|
||||||
# Launch args. Same proven P800 INT8 command as
|
|
||||||
# dsv4_p800_long_context_matrix/start_sglang.sh, with TP/DP parameterized.
|
|
||||||
# Note: whether this image supports --dp-size on XPU is part of what this
|
|
||||||
# experiment probes; TP=8/DP=1 matches the production configuration.
|
|
||||||
launch_args="--host 0.0.0.0 --port ${PORT} --model-path /models --attention-backend nsa --nsa-prefill klxdsa --nsa-decode klxdsa --trust-remote-code --disable-custom-all-reduce --page-size 64 --mem-fraction-static ${MEM_FRACTION_STATIC} --tensor-parallel-size ${TP} --disable-shared-experts-fusion --quantization w8a8_int8 --kv-cache-dtype float16 --disable-piecewise-cuda-graph --cuda-graph-max-bs 32 --watchdog-timeout 3000000 --tool-call-parser deepseekv4 --reasoning-parser deepseek-v4 --constrained-json-disable-any-whitespace --enable-metrics --enable-request-time-stats-logging --context-length ${CONTEXT_LENGTH}"
|
|
||||||
|
|
||||||
if [[ "$DP" -gt 1 ]]; then
|
|
||||||
launch_args="${launch_args} --dp-size ${DP}"
|
|
||||||
fi
|
|
||||||
|
|
||||||
# Base64-encode the bootstrap command to avoid host-shell quoting issues.
|
|
||||||
server_cmd=$(cat <<EOF
|
|
||||||
cd /workspace
|
|
||||||
find /root/miniconda/envs/python310_torch25_cuda/lib/python3.10/site-packages/sglang -type d -name __pycache__ -exec rm -rf {} + 2>/dev/null || true
|
|
||||||
/root/miniconda/envs/python310_torch25_cuda/bin/pip install --upgrade safetensors -q
|
|
||||||
/root/miniconda/envs/python310_torch25_cuda/bin/pip install https://files.pythonhosted.org/packages/14/8b/2a1333a6455c6fad401c2285dee6f58016c55b1cb44cae3a31f8a9cc7d83/apache_tvm_ffi-0.1.0b2-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl -q
|
|
||||||
/root/miniconda/envs/python310_torch25_cuda/bin/python -c "import torch; torch.float8_e8m0fnu = torch.uint8; import runpy, sys; sys.argv[0] = 'sglang.launch_server'; runpy.run_module('sglang.launch_server', run_name='__main__')" ${launch_args}
|
|
||||||
EOF
|
|
||||||
)
|
|
||||||
server_cmd_b64=$(printf '%s' "$server_cmd" | base64 -w0)
|
|
||||||
|
|
||||||
patch_mounts=(
|
|
||||||
-v "${PATCH_ROOT}/nic_priority_matrix_test.json:/workspace/nic_priority_matrix_test.json:ro"
|
|
||||||
)
|
|
||||||
# Patch the image's sglang.bench_serving to also report TTFT/TPOT/E2E P95.
|
|
||||||
# The P800 image only ships median/P99 for those metrics, and the adaptive
|
|
||||||
# search reads p95_ttft_ms for its TTFT SLO stop. The container is recreated
|
|
||||||
# per TP/DP config, so the patch must be mounted at every `docker run`.
|
|
||||||
BENCH_SERVING_PATCH="${SCRIPT_DIR}/patches/bench_serving.py"
|
|
||||||
if [[ -f "${BENCH_SERVING_PATCH}" ]]; then
|
|
||||||
patch_mounts+=(
|
|
||||||
-v "${BENCH_SERVING_PATCH}:/root/miniconda/envs/python310_torch25_cuda/lib/python3.10/site-packages/sglang/bench_serving.py:ro"
|
|
||||||
)
|
|
||||||
fi
|
|
||||||
# Mount the ShareGPT seed dataset only when it exists on the host, so that
|
|
||||||
# BENCH_DATASET_NAME=random-ids (no seed needed) never makes docker create a
|
|
||||||
# stray directory at DATASET_PATH.
|
|
||||||
if [[ -f "${DATASET_PATH}" ]]; then
|
|
||||||
patch_mounts+=( -v "${DATASET_PATH}:${CONTAINER_DATASET_PATH}:ro" )
|
|
||||||
fi
|
|
||||||
|
|
||||||
echo "=== Starting P800 SGLang INT8 server in Docker (TP=${TP}, DP=${DP}) ==="
|
|
||||||
echo "Image: ${DOCKER_IMAGE}"
|
|
||||||
echo "Model: ${MODEL_PATH}"
|
|
||||||
echo "Container name: ${CONTAINER_NAME}"
|
|
||||||
echo "Host port: ${PORT}"
|
|
||||||
echo "Command: sglang.launch_server ${launch_args}"
|
|
||||||
echo "Log: docker logs ${CONTAINER_NAME}"
|
|
||||||
|
|
||||||
docker run -d \
|
|
||||||
--name "${CONTAINER_NAME}" \
|
|
||||||
--privileged \
|
|
||||||
--network host \
|
|
||||||
--ipc host \
|
|
||||||
${device_args} \
|
|
||||||
-v "${MODEL_PATH}:/models:ro" \
|
|
||||||
-v "${MODEL_PATH}:${MODEL_PATH}:ro" \
|
|
||||||
"${patch_mounts[@]}" \
|
|
||||||
"${env_args[@]}" \
|
|
||||||
"${DOCKER_IMAGE}" \
|
|
||||||
bash -c "echo '${server_cmd_b64}' | base64 -d | bash" \
|
|
||||||
>> "${SERVER_LOG}" 2>&1
|
|
||||||
|
|
||||||
log "container ${CONTAINER_NAME} started, waiting for health"
|
|
||||||
healthy=0
|
|
||||||
for ((i = 1; i <= 600; i++)); do
|
|
||||||
if curl --fail --silent --show-error --max-time 5 "http://127.0.0.1:${PORT}/health" >/dev/null 2>&1; then
|
|
||||||
healthy=1
|
|
||||||
break
|
|
||||||
fi
|
|
||||||
if [[ "$(docker inspect -f '{{.State.Running}}' "${CONTAINER_NAME}" 2>/dev/null)" != "true" ]]; then
|
|
||||||
log "ERROR: container ${CONTAINER_NAME} exited during startup; last server logs:"
|
|
||||||
docker logs --tail 100 "${CONTAINER_NAME}" 2>&1 || true
|
|
||||||
exit 1
|
|
||||||
fi
|
|
||||||
sleep 1
|
|
||||||
done
|
|
||||||
if [[ "$healthy" == "1" ]]; then
|
|
||||||
log "container ${CONTAINER_NAME} is healthy"
|
|
||||||
exit 0
|
|
||||||
else
|
|
||||||
log "ERROR: container ${CONTAINER_NAME} failed health check; last server logs:"
|
|
||||||
docker logs --tail 100 "${CONTAINER_NAME}" 2>&1 || true
|
|
||||||
exit 1
|
|
||||||
fi
|
|
||||||
|
|||||||
90
ops/README.md
Normal file
90
ops/README.md
Normal file
@ -0,0 +1,90 @@
|
|||||||
|
# 运维一键测试手册
|
||||||
|
|
||||||
|
这份手册只说明怎么**跑测试**。模型部署由模型团队负责，运维不需要理解
|
||||||
|
SGLang/vLLM 的引擎参数，也不需要执行 `python -m sskj.deploy`。
|
||||||
|
|
||||||
|
## 0. 准备
|
||||||
|
|
||||||
|
```bash
|
||||||
|
cd /data1/yy/sskj
|
||||||
|
python3 -m pip install -e . --no-deps
|
||||||
|
```
|
||||||
|
|
||||||
|
如果不想安装，也可以每次执行时加 `PYTHONPATH=src`：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
cd /data1/yy/sskj
|
||||||
|
PYTHONPATH=src python3 -m sskj.bench --help
|
||||||
|
```
|
||||||
|
|
||||||
|
## 1. 查看可测试的实验
|
||||||
|
|
||||||
|
```bash
|
||||||
|
PYTHONPATH=src python3 -m sskj.bench list --platform p800
|
||||||
|
PYTHONPATH=src python3 -m sskj.bench list
|
||||||
|
```
|
||||||
|
|
||||||
|
## 2. 冒烟测试
|
||||||
|
|
||||||
|
```bash
|
||||||
|
PYTHONPATH=src python3 -m sskj.bench run \
|
||||||
|
--url http://10.100.11.2:30014 \
|
||||||
|
--platform p800 \
|
||||||
|
--experiment dsv4_p800_sglang_tp_dp_matrix \
|
||||||
|
--profile smoke
|
||||||
|
```
|
||||||
|
|
||||||
|
## 3. 完整矩阵测试
|
||||||
|
|
||||||
|
```bash
|
||||||
|
PYTHONPATH=src python3 -m sskj.bench run \
|
||||||
|
--url http://10.100.11.2:30014 \
|
||||||
|
--platform p800 \
|
||||||
|
--experiment dsv4_p800_sglang_tp_dp_matrix \
|
||||||
|
--profile matrix
|
||||||
|
```
|
||||||
|
|
||||||
|
`--profile matrix` 使用实验目录里的 `matrix.json`，只测试 `Y` 标记的场景，
|
||||||
|
每个 ISL 取低/高两个并发档位。
|
||||||
|
|
||||||
|
## 4. 先看计划再执行
|
||||||
|
|
||||||
|
任何 `run` 命令都可以加 `--dry-run`，只打印 URL、client 模式、场景清单和
|
||||||
|
结果路径，不发送请求。
|
||||||
|
|
||||||
|
## 5. 结果在哪里
|
||||||
|
|
||||||
|
结果默认写回实验目录：
|
||||||
|
|
||||||
|
```text
|
||||||
|
experiments/<platform>/<experiment>/results/<run_id>/
|
||||||
|
├── results.json
|
||||||
|
├── report.md
|
||||||
|
├── run_manifest.json
|
||||||
|
├── raw_outputs/
|
||||||
|
└── logs/
|
||||||
|
```
|
||||||
|
|
||||||
|
把 `<run_id>` 或 `report.md` 路径发给模型团队即可。
|
||||||
|
|
||||||
|
## 6. client 模式
|
||||||
|
|
||||||
|
默认自动选择：
|
||||||
|
|
||||||
|
| 平台 | 默认 client |
|
||||||
|
|---|---|
|
||||||
|
| P800 | `server-container`（进入已部署容器执行，保留厂商 bench_serving） |
|
||||||
|
| H20/H200/6000D | `docker`（独立 sglang client 容器） |
|
||||||
|
| 910C | `server-container` 或 `native`（按实验配置自动选择） |
|
||||||
|
|
||||||
|
跨机测试时可用 `--client docker --client-image lmsysorg/sglang:latest`
|
||||||
|
指定外部 client。
|
||||||
|
|
||||||
|
## 7. 常见问题
|
||||||
|
|
||||||
|
- 服务不健康：确认 `--url` 的端口可从测试机访问，服务已启动且 `/health` 可通。
|
||||||
|
- 数据集缺失：仓库 `datasets/` 下没有 ShareGPT 文件时，统一 CLI 会自动退回
|
||||||
|
`random-ids`，可用于连通性验证；正式矩阵前先放好数据集。
|
||||||
|
- P95 指标：P800 使用容器内 `bench_serving`，解析层会从逐请求数据补算 P95，
|
||||||
|
与旧实验口径一致。
|
||||||
|
- 不要执行部署命令：`python -m sskj.deploy` 仅模型团队使用。
|
||||||
@ -9,11 +9,19 @@ description = "Multi-platform LLM serving benchmark framework (sglang/vllm on P8
|
|||||||
requires-python = ">=3.10"
|
requires-python = ">=3.10"
|
||||||
dependencies = []
|
dependencies = []
|
||||||
|
|
||||||
|
[project.scripts]
|
||||||
|
sskj-bench = "sskj.bench.cli:main"
|
||||||
|
sskj-deploy = "sskj.deploy.cli:main"
|
||||||
|
|
||||||
[project.optional-dependencies]
|
[project.optional-dependencies]
|
||||||
dev = [
|
dev = [
|
||||||
"ruff>=0.5.0",
|
"ruff>=0.5.0",
|
||||||
]
|
]
|
||||||
|
|
||||||
|
[tool.setuptools]
|
||||||
|
package-dir = {"" = "src"}
|
||||||
|
packages = ["sskj", "sskj.bench", "sskj.common", "sskj.deploy"]
|
||||||
|
|
||||||
[tool.ruff]
|
[tool.ruff]
|
||||||
line-length = 120
|
line-length = 120
|
||||||
target-version = "py310"
|
target-version = "py310"
|
||||||
|
|||||||
44
scripts/common/deploy_cli.sh
Normal file
44
scripts/common/deploy_cli.sh
Normal file
@ -0,0 +1,44 @@
|
|||||||
|
#!/usr/bin/env bash
|
||||||
|
# Helpers to delegate server lifecycle and argument rendering to
|
||||||
|
# `python -m sskj.deploy`. The deployment profile is the single source of
|
||||||
|
# engine launch args; experiment scripts should call these helpers instead of
|
||||||
|
# maintaining their own copies.
|
||||||
|
|
||||||
|
DEPLOY_PYTHON="${PYTHON:-python3}"
|
||||||
|
|
||||||
|
deploy_profile_abs() {
|
||||||
|
local profile="$1"
|
||||||
|
printf '%s' "${ROOT_DIR}/deploy/profiles/${profile}.env"
|
||||||
|
}
|
||||||
|
|
||||||
|
deploy_start() {
|
||||||
|
local profile="$1"
|
||||||
|
local tp="$2"
|
||||||
|
local dp="$3"
|
||||||
|
local log_dir="$4"
|
||||||
|
local port="$5"
|
||||||
|
local model_path="$6"
|
||||||
|
local container="$7"
|
||||||
|
PYTHONPATH="${ROOT_DIR}/src" "${DEPLOY_PYTHON}" -m sskj.deploy start \
|
||||||
|
--profile "$(deploy_profile_abs "$profile")" \
|
||||||
|
--tp "$tp" \
|
||||||
|
--dp "$dp" \
|
||||||
|
--log-dir "$log_dir" \
|
||||||
|
--port "$port" \
|
||||||
|
--model-path "$model_path" \
|
||||||
|
--container-name "$container"
|
||||||
|
}
|
||||||
|
|
||||||
|
deploy_render_args() {
|
||||||
|
local profile="$1"
|
||||||
|
local tp="$2"
|
||||||
|
local dp="$3"
|
||||||
|
local port="$4"
|
||||||
|
local model_path="$5"
|
||||||
|
PYTHONPATH="${ROOT_DIR}/src" "${DEPLOY_PYTHON}" -m sskj.deploy render-args \
|
||||||
|
--profile "$(deploy_profile_abs "$profile")" \
|
||||||
|
--tp "$tp" \
|
||||||
|
--dp "$dp" \
|
||||||
|
--port "$port" \
|
||||||
|
--model-path "$model_path"
|
||||||
|
}
|
||||||
3
src/sskj/__init__.py
Normal file
3
src/sskj/__init__.py
Normal file
@ -0,0 +1,3 @@
|
|||||||
|
"""sskj: multi-platform LLM serving benchmark and deployment toolkit."""
|
||||||
|
|
||||||
|
__version__ = "0.1.0"
|
||||||
1
src/sskj/bench/__init__.py
Normal file
1
src/sskj/bench/__init__.py
Normal file
@ -0,0 +1 @@
|
|||||||
|
"""Unified benchmark client for sskj."""
|
||||||
4
src/sskj/bench/__main__.py
Normal file
4
src/sskj/bench/__main__.py
Normal file
@ -0,0 +1,4 @@
|
|||||||
|
from sskj.bench.cli import main
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
raise SystemExit(main())
|
||||||
238
src/sskj/bench/cli.py
Normal file
238
src/sskj/bench/cli.py
Normal file
@ -0,0 +1,238 @@
|
|||||||
|
"""CLI entrypoint: python -m sskj.bench."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import argparse
|
||||||
|
import sys
|
||||||
|
from datetime import datetime
|
||||||
|
from pathlib import Path
|
||||||
|
from urllib.parse import urlsplit
|
||||||
|
|
||||||
|
from sskj.bench import config as bench_config
|
||||||
|
from sskj.bench.report import (
|
||||||
|
append_status_scenario,
|
||||||
|
run_parse_backend,
|
||||||
|
write_manifest,
|
||||||
|
write_metadata,
|
||||||
|
)
|
||||||
|
from sskj.bench.runner import BenchClientOptions, run_scenario, wait_health
|
||||||
|
from sskj.bench.scenarios import generate_scenarios, smoke_scenario
|
||||||
|
|
||||||
|
|
||||||
|
def _build_parser() -> argparse.ArgumentParser:
|
||||||
|
parser = argparse.ArgumentParser(prog="python -m sskj.bench", description="sskj benchmark CLI")
|
||||||
|
parser.add_argument("--repo-root", type=Path, default=None, help="Repository root (default: auto)")
|
||||||
|
sub = parser.add_subparsers(dest="command", required=True)
|
||||||
|
|
||||||
|
list_parser = sub.add_parser("list", help="List platforms and experiments")
|
||||||
|
list_parser.add_argument("--platform", choices=bench_config.PLATFORMS, default=None)
|
||||||
|
|
||||||
|
run_parser = sub.add_parser("run", help="Run smoke or matrix benchmark against an existing endpoint")
|
||||||
|
run_parser.add_argument("--url", default=None, help="Serving endpoint, e.g. http://10.0.0.2:30000")
|
||||||
|
run_parser.add_argument("--platform", required=True, choices=bench_config.PLATFORMS)
|
||||||
|
run_parser.add_argument("--experiment", required=True)
|
||||||
|
run_parser.add_argument("--profile", choices=["smoke", "matrix"], default="smoke")
|
||||||
|
run_parser.add_argument("--run-id", default=None)
|
||||||
|
run_parser.add_argument("--backend", choices=["sglang", "vllm"], default=None)
|
||||||
|
run_parser.add_argument("--model", default=None)
|
||||||
|
run_parser.add_argument("--dataset", default=None)
|
||||||
|
run_parser.add_argument("--client", choices=["auto", "native", "docker", "server-container"], default="auto")
|
||||||
|
run_parser.add_argument("--client-image", default=None)
|
||||||
|
run_parser.add_argument("--client-python", default=None)
|
||||||
|
run_parser.add_argument("--server-container", default=None)
|
||||||
|
run_parser.add_argument("--container-python", default=None)
|
||||||
|
run_parser.add_argument("--isl", type=int, default=1024)
|
||||||
|
run_parser.add_argument("--osl", type=int, default=128)
|
||||||
|
run_parser.add_argument("--concurrency", type=int, default=8)
|
||||||
|
run_parser.add_argument("--num-prompts", type=int, default=40)
|
||||||
|
run_parser.add_argument("--output-dir", type=Path, default=None)
|
||||||
|
run_parser.add_argument("--timeout", type=int, default=1800)
|
||||||
|
run_parser.add_argument("--health-wait", type=int, default=600)
|
||||||
|
run_parser.add_argument("--dry-run", action="store_true")
|
||||||
|
return parser
|
||||||
|
|
||||||
|
|
||||||
|
def _normalize_url(url: str) -> tuple[str, str, int]:
|
||||||
|
if "://" not in url:
|
||||||
|
url = f"http://{url}"
|
||||||
|
parts = urlsplit(url)
|
||||||
|
host = parts.hostname or "127.0.0.1"
|
||||||
|
port = parts.port or 30000
|
||||||
|
base = f"http://{host}:{port}"
|
||||||
|
return base, host, port
|
||||||
|
|
||||||
|
|
||||||
|
def _cmd_list(args: argparse.Namespace, root: Path) -> int:
|
||||||
|
platforms = [args.platform] if args.platform else bench_config.list_platforms(root)
|
||||||
|
for platform in platforms:
|
||||||
|
experiments = bench_config.list_experiments(platform, root)
|
||||||
|
print(f"[{platform}]")
|
||||||
|
for name in experiments:
|
||||||
|
print(f" {name}")
|
||||||
|
return 0
|
||||||
|
|
||||||
|
|
||||||
|
def _cmd_run(args: argparse.Namespace, root: Path) -> int:
|
||||||
|
experiment_dir = bench_config.resolve_experiment(args.platform, args.experiment, root)
|
||||||
|
platform_env = bench_config.load_platform_env(args.platform, root)
|
||||||
|
experiment_env = bench_config.load_experiment_env(args.platform, args.experiment, root)
|
||||||
|
backend = args.backend or bench_config.detect_backend(
|
||||||
|
args.experiment,
|
||||||
|
experiment_env,
|
||||||
|
platform_env,
|
||||||
|
)
|
||||||
|
engine = experiment_env.get("ENGINE") or platform_env.get("ENGINE") or backend
|
||||||
|
port_key = "SGLANG_PORT" if backend == "sglang" else "VLLM_PORT"
|
||||||
|
default_port = int(experiment_env.get(port_key) or platform_env.get("DEFAULT_PORT") or "30000")
|
||||||
|
url = args.url or f"http://127.0.0.1:{default_port}"
|
||||||
|
base_url, host, port = _normalize_url(url)
|
||||||
|
|
||||||
|
model = (
|
||||||
|
args.model
|
||||||
|
or experiment_env.get("MODEL_PATH")
|
||||||
|
or experiment_env.get("SERVED_MODEL_NAME")
|
||||||
|
or experiment_env.get("MODEL_NAME")
|
||||||
|
or "model"
|
||||||
|
)
|
||||||
|
dataset = args.dataset or experiment_env.get("DATASET_PATH")
|
||||||
|
client_mode = bench_config.resolve_client_mode(args.client, args.platform, experiment_env)
|
||||||
|
|
||||||
|
if args.profile == "matrix":
|
||||||
|
matrix_path = experiment_dir / "matrix.json"
|
||||||
|
if not matrix_path.exists():
|
||||||
|
raise SystemExit(f"matrix.json not found for experiment: {matrix_path}")
|
||||||
|
scenarios = generate_scenarios(matrix_path, mode="Y", target_samples=2)
|
||||||
|
else:
|
||||||
|
scenarios = [
|
||||||
|
smoke_scenario(
|
||||||
|
isl=args.isl,
|
||||||
|
osl=args.osl,
|
||||||
|
concurrency=args.concurrency,
|
||||||
|
num_prompts=args.num_prompts,
|
||||||
|
)
|
||||||
|
]
|
||||||
|
|
||||||
|
run_id = args.run_id or f"ops_{datetime.now().strftime('%Y%m%d-%H%M%S')}"
|
||||||
|
result_root = args.output_dir / run_id if args.output_dir else experiment_dir / "results" / run_id
|
||||||
|
|
||||||
|
server_container = args.server_container or experiment_env.get("CONTAINER_NAME")
|
||||||
|
container_python = args.container_python or experiment_env.get("CONTAINER_PYTHON")
|
||||||
|
client_image = args.client_image or experiment_env.get("DOCKER_CLIENT_IMAGE") or experiment_env.get("DOCKER_IMAGE")
|
||||||
|
client_python = args.client_python or experiment_env.get("VENV_CLIENT")
|
||||||
|
if client_python:
|
||||||
|
client_python = str(Path(client_python) / "bin" / "python")
|
||||||
|
|
||||||
|
print(f"endpoint: {base_url}")
|
||||||
|
print(f"platform: {args.platform} experiment: {args.experiment}")
|
||||||
|
print(f"backend: {backend} client: {client_mode}")
|
||||||
|
print(f"profile: {args.profile} scenarios: {len(scenarios)}")
|
||||||
|
print(f"result: {result_root}")
|
||||||
|
for s in scenarios:
|
||||||
|
print(
|
||||||
|
f" c={s['concurrency']} isl={s['input_len']} osl={s['output_len']} "
|
||||||
|
f"num_prompts={s['num_prompts']}"
|
||||||
|
)
|
||||||
|
if args.dry_run:
|
||||||
|
return 0
|
||||||
|
|
||||||
|
dataset_name = experiment_env.get("BENCH_DATASET_NAME", "random")
|
||||||
|
if dataset_name != "random" and not dataset_name.startswith("random"):
|
||||||
|
dataset_name = "random"
|
||||||
|
if (not dataset or not Path(dataset).exists()) and dataset_name == "random":
|
||||||
|
print(f"WARNING: dataset not found, will use random-ids: {dataset}")
|
||||||
|
dataset_name = "random-ids"
|
||||||
|
|
||||||
|
print("checking service health ...")
|
||||||
|
if not wait_health(base_url, "/health", args.health_wait):
|
||||||
|
raise SystemExit(f"service health check failed: {base_url}/health")
|
||||||
|
|
||||||
|
write_metadata(
|
||||||
|
result_root,
|
||||||
|
experiment=f"{args.platform}/{args.experiment}",
|
||||||
|
run_id=run_id,
|
||||||
|
model=model,
|
||||||
|
backend=backend,
|
||||||
|
engine=engine,
|
||||||
|
hardware=platform_env.get("HARDWARE", ""),
|
||||||
|
accelerator=platform_env.get("ACCELERATOR", ""),
|
||||||
|
chip=platform_env.get("CHIP", args.platform),
|
||||||
|
endpoint=base_url,
|
||||||
|
client_mode=client_mode,
|
||||||
|
root=root,
|
||||||
|
)
|
||||||
|
write_manifest(
|
||||||
|
result_root,
|
||||||
|
{
|
||||||
|
"experiment": f"{args.platform}/{args.experiment}",
|
||||||
|
"run_id": run_id,
|
||||||
|
"endpoint": base_url,
|
||||||
|
"backend": backend,
|
||||||
|
"client_mode": client_mode,
|
||||||
|
"profile": args.profile,
|
||||||
|
"scenarios": scenarios,
|
||||||
|
"dataset": dataset,
|
||||||
|
"dataset_name": dataset_name,
|
||||||
|
},
|
||||||
|
)
|
||||||
|
(result_root / "raw_outputs").mkdir(parents=True, exist_ok=True)
|
||||||
|
(result_root / "logs").mkdir(parents=True, exist_ok=True)
|
||||||
|
|
||||||
|
for s in scenarios:
|
||||||
|
output_file = (
|
||||||
|
result_root
|
||||||
|
/ "raw_outputs"
|
||||||
|
/ f"{backend}_main_{s['concurrency']}_{s['input_len']}_{s['output_len']}.jsonl"
|
||||||
|
)
|
||||||
|
detail_log = result_root / "logs" / f"{backend}_{s['concurrency']}_{s['input_len']}_{s['output_len']}.log"
|
||||||
|
options = BenchClientOptions(
|
||||||
|
backend=backend,
|
||||||
|
host=host,
|
||||||
|
port=port,
|
||||||
|
model=model,
|
||||||
|
dataset_name=dataset_name,
|
||||||
|
dataset_path=dataset,
|
||||||
|
container_dataset_path=experiment_env.get("CONTAINER_DATASET_PATH"),
|
||||||
|
random_range_ratio=float(experiment_env.get("RANDOM_RANGE_RATIO", "1.0")),
|
||||||
|
warmup_max_requests=int(experiment_env.get("BENCH_WARMUP_MAX_REQUESTS", "0") or 0),
|
||||||
|
client_mode=client_mode,
|
||||||
|
client_image=client_image,
|
||||||
|
client_python=client_python,
|
||||||
|
server_container=server_container,
|
||||||
|
container_python=container_python,
|
||||||
|
output_file=output_file,
|
||||||
|
detail_log=detail_log,
|
||||||
|
timeout_s=args.timeout,
|
||||||
|
root=root,
|
||||||
|
)
|
||||||
|
name = f"c{s['concurrency']}_i{s['input_len']}_o{s['output_len']}"
|
||||||
|
print(f"running scenario {name} ...")
|
||||||
|
rc = run_scenario(s, options)
|
||||||
|
if rc == 0 and output_file.exists():
|
||||||
|
print(f" ok: {output_file}")
|
||||||
|
else:
|
||||||
|
print(f" failed rc={rc}: {detail_log}")
|
||||||
|
append_status_scenario(
|
||||||
|
result_root,
|
||||||
|
name=name,
|
||||||
|
concurrency=s["concurrency"],
|
||||||
|
input_len=s["input_len"],
|
||||||
|
output_len=s["output_len"],
|
||||||
|
num_prompts=s["num_prompts"],
|
||||||
|
status="FAILED",
|
||||||
|
note=f"bench_serving rc={rc}",
|
||||||
|
)
|
||||||
|
|
||||||
|
print("parsing results ...")
|
||||||
|
run_parse_backend(sys.executable, root / "scripts" / "common" / "parse_backend.py", result_root, backend)
|
||||||
|
print(f"result saved: {result_root}")
|
||||||
|
return 0
|
||||||
|
|
||||||
|
|
||||||
|
def main(argv: list[str] | None = None) -> int:
|
||||||
|
args = _build_parser().parse_args(argv)
|
||||||
|
root = args.repo_root or bench_config.repo_root()
|
||||||
|
if args.command == "list":
|
||||||
|
return _cmd_list(args, root)
|
||||||
|
if args.command == "run":
|
||||||
|
return _cmd_run(args, root)
|
||||||
|
return 2
|
||||||
109
src/sskj/bench/config.py
Normal file
109
src/sskj/bench/config.py
Normal file
@ -0,0 +1,109 @@
|
|||||||
|
"""Repository and experiment resolution helpers."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
from sskj.common.env import parse_env_file
|
||||||
|
|
||||||
|
PLATFORM_CHIP = {
|
||||||
|
"p800": "kunlun_p800",
|
||||||
|
"h20": "nvidia_h20",
|
||||||
|
"h200": "nvidia_h200",
|
||||||
|
"pro6000": "nvidia_rtx6000d",
|
||||||
|
"910c": "ascend_910c",
|
||||||
|
}
|
||||||
|
|
||||||
|
PLATFORMS = ["p800", "h20", "h200", "pro6000", "910c"]
|
||||||
|
|
||||||
|
|
||||||
|
def repo_root() -> Path:
|
||||||
|
return Path(__file__).resolve().parents[3]
|
||||||
|
|
||||||
|
|
||||||
|
def experiments_dir(root: Path | None = None) -> Path:
|
||||||
|
return (root or repo_root()) / "experiments"
|
||||||
|
|
||||||
|
|
||||||
|
def list_platforms(root: Path | None = None) -> list[str]:
|
||||||
|
base = experiments_dir(root)
|
||||||
|
return [p.name for p in sorted(base.iterdir()) if p.is_dir() and p.name in PLATFORMS]
|
||||||
|
|
||||||
|
|
||||||
|
def list_experiments(platform: str, root: Path | None = None) -> list[str]:
|
||||||
|
base = experiments_dir(root) / platform
|
||||||
|
if not base.exists():
|
||||||
|
return []
|
||||||
|
return sorted(p.name for p in base.iterdir() if p.is_dir() and not p.name.startswith("."))
|
||||||
|
|
||||||
|
|
||||||
|
def resolve_experiment(platform: str, experiment: str, root: Path | None = None) -> Path:
|
||||||
|
path = experiments_dir(root) / platform / experiment
|
||||||
|
if not path.exists():
|
||||||
|
raise SystemExit(f"experiment not found: {path}")
|
||||||
|
return path
|
||||||
|
|
||||||
|
|
||||||
|
def load_platform_env(platform: str, root: Path | None = None) -> dict[str, str]:
|
||||||
|
root = root or repo_root()
|
||||||
|
chip = PLATFORM_CHIP[platform]
|
||||||
|
path = root / "platforms" / f"{chip}.env"
|
||||||
|
if not path.exists():
|
||||||
|
return {}
|
||||||
|
return parse_env_file(path, base_env={"ROOT_DIR": str(root)})
|
||||||
|
|
||||||
|
|
||||||
|
def load_experiment_env(
|
||||||
|
platform: str,
|
||||||
|
experiment: str,
|
||||||
|
root: Path | None = None,
|
||||||
|
) -> dict[str, str]:
|
||||||
|
root = root or repo_root()
|
||||||
|
experiment_dir = resolve_experiment(platform, experiment, root)
|
||||||
|
platform_env = load_platform_env(platform, root)
|
||||||
|
base = dict(platform_env)
|
||||||
|
base["ROOT_DIR"] = str(root)
|
||||||
|
base["SCRIPT_DIR"] = str(experiment_dir)
|
||||||
|
config_path = experiment_dir / "config.env"
|
||||||
|
if not config_path.exists():
|
||||||
|
return base
|
||||||
|
return parse_env_file(config_path, base_env=base)
|
||||||
|
|
||||||
|
|
||||||
|
def detect_backend(
|
||||||
|
experiment_name: str,
|
||||||
|
experiment_env: dict[str, str],
|
||||||
|
platform_env: dict[str, str],
|
||||||
|
) -> str:
|
||||||
|
name = experiment_name.lower()
|
||||||
|
engine = (experiment_env.get("ENGINE") or platform_env.get("ENGINE") or "").lower()
|
||||||
|
if "sglang" in name:
|
||||||
|
return "sglang"
|
||||||
|
if "vllm" in name:
|
||||||
|
return "vllm"
|
||||||
|
if "vllm" in engine:
|
||||||
|
return "vllm"
|
||||||
|
return "sglang"
|
||||||
|
|
||||||
|
|
||||||
|
def resolve_client_mode(
|
||||||
|
mode: str,
|
||||||
|
platform: str,
|
||||||
|
experiment_env: dict[str, str],
|
||||||
|
) -> str:
|
||||||
|
if mode != "auto":
|
||||||
|
return mode
|
||||||
|
use_docker_client = experiment_env.get("USE_DOCKER_CLIENT", "1")
|
||||||
|
if use_docker_client == "0":
|
||||||
|
if experiment_env.get("CONTAINER_NAME") and experiment_env.get("CONTAINER_PYTHON"):
|
||||||
|
return "server-container"
|
||||||
|
return "native"
|
||||||
|
if experiment_env.get("DOCKER_CLIENT_IMAGE"):
|
||||||
|
return "docker"
|
||||||
|
if experiment_env.get("CONTAINER_NAME") and experiment_env.get("CONTAINER_PYTHON"):
|
||||||
|
return "server-container"
|
||||||
|
if experiment_env.get("DOCKER_IMAGE"):
|
||||||
|
return "docker"
|
||||||
|
if experiment_env.get("VENV_CLIENT") or experiment_env.get("VENV_SGLANG"):
|
||||||
|
return "native"
|
||||||
|
return "docker"
|
||||||
126
src/sskj/bench/report.py
Normal file
126
src/sskj/bench/report.py
Normal file
@ -0,0 +1,126 @@
|
|||||||
|
"""Result metadata and report helpers for the unified benchmark CLI."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import json
|
||||||
|
import subprocess
|
||||||
|
from datetime import datetime, timezone
|
||||||
|
from pathlib import Path
|
||||||
|
from typing import Any
|
||||||
|
|
||||||
|
|
||||||
|
def git_commit(root: Path) -> str:
|
||||||
|
try:
|
||||||
|
return (
|
||||||
|
subprocess.run(
|
||||||
|
["git", "rev-parse", "--short", "HEAD"],
|
||||||
|
cwd=root,
|
||||||
|
capture_output=True,
|
||||||
|
text=True,
|
||||||
|
timeout=10,
|
||||||
|
)
|
||||||
|
.stdout.strip()
|
||||||
|
or "unknown"
|
||||||
|
)
|
||||||
|
except Exception:
|
||||||
|
return "unknown"
|
||||||
|
|
||||||
|
|
||||||
|
def git_dirty(root: Path) -> str:
|
||||||
|
try:
|
||||||
|
out = subprocess.run(
|
||||||
|
["git", "status", "--porcelain"],
|
||||||
|
cwd=root,
|
||||||
|
capture_output=True,
|
||||||
|
text=True,
|
||||||
|
timeout=10,
|
||||||
|
).stdout.strip()
|
||||||
|
return "dirty" if out else "clean"
|
||||||
|
except Exception:
|
||||||
|
return "unknown"
|
||||||
|
|
||||||
|
|
||||||
|
def write_metadata(
|
||||||
|
result_root: Path,
|
||||||
|
*,
|
||||||
|
experiment: str,
|
||||||
|
run_id: str,
|
||||||
|
model: str,
|
||||||
|
backend: str,
|
||||||
|
engine: str,
|
||||||
|
hardware: str,
|
||||||
|
accelerator: str,
|
||||||
|
chip: str,
|
||||||
|
endpoint: str,
|
||||||
|
client_mode: str,
|
||||||
|
root: Path,
|
||||||
|
) -> None:
|
||||||
|
result_root.mkdir(parents=True, exist_ok=True)
|
||||||
|
metadata = {
|
||||||
|
"experiment": experiment,
|
||||||
|
"run_id": run_id,
|
||||||
|
"timestamp": datetime.now(timezone.utc).astimezone().isoformat(),
|
||||||
|
"model": model,
|
||||||
|
"backend": backend,
|
||||||
|
"engine": engine,
|
||||||
|
"hardware": hardware,
|
||||||
|
"accelerator": accelerator,
|
||||||
|
"chip": chip,
|
||||||
|
"script": "python -m sskj.bench",
|
||||||
|
"env": "",
|
||||||
|
"git_commit": git_commit(root),
|
||||||
|
"git_dirty": git_dirty(root),
|
||||||
|
"endpoint": endpoint,
|
||||||
|
"client_mode": client_mode,
|
||||||
|
}
|
||||||
|
data = {"metadata": metadata, "config": {}, "scenarios": []}
|
||||||
|
with open(result_root / "results.json", "w", encoding="utf-8") as f:
|
||||||
|
json.dump(data, f, indent=2, ensure_ascii=False)
|
||||||
|
|
||||||
|
|
||||||
|
def write_manifest(result_root: Path, payload: dict[str, Any]) -> None:
|
||||||
|
with open(result_root / "run_manifest.json", "w", encoding="utf-8") as f:
|
||||||
|
json.dump(payload, f, indent=2, ensure_ascii=False)
|
||||||
|
|
||||||
|
|
||||||
|
def append_status_scenario(
|
||||||
|
result_root: Path,
|
||||||
|
*,
|
||||||
|
name: str,
|
||||||
|
concurrency: int,
|
||||||
|
input_len: int,
|
||||||
|
output_len: int,
|
||||||
|
num_prompts: int,
|
||||||
|
status: str,
|
||||||
|
note: str,
|
||||||
|
) -> None:
|
||||||
|
path = result_root / "results.json"
|
||||||
|
data: dict[str, Any] = {"scenarios": []}
|
||||||
|
if path.exists():
|
||||||
|
data = json.loads(path.read_text(encoding="utf-8"))
|
||||||
|
data.setdefault("scenarios", []).append(
|
||||||
|
{
|
||||||
|
"name": name,
|
||||||
|
"config": {
|
||||||
|
"phase": "main",
|
||||||
|
"concurrency": concurrency,
|
||||||
|
"input_len": input_len,
|
||||||
|
"output_len": output_len,
|
||||||
|
"dataset": "random",
|
||||||
|
"num_prompts": num_prompts,
|
||||||
|
},
|
||||||
|
"status": status,
|
||||||
|
"note": note,
|
||||||
|
}
|
||||||
|
)
|
||||||
|
path.write_text(json.dumps(data, indent=2, ensure_ascii=False), encoding="utf-8")
|
||||||
|
|
||||||
|
|
||||||
|
def run_parse_backend(python_bin: str, parse_script: Path, result_root: Path, backend: str) -> int:
|
||||||
|
return subprocess.run(
|
||||||
|
[python_bin, str(parse_script), str(result_root), "--backend", backend],
|
||||||
|
cwd=parse_script.parents[2],
|
||||||
|
capture_output=True,
|
||||||
|
text=True,
|
||||||
|
timeout=120,
|
||||||
|
).returncode
|
||||||
183
src/sskj/bench/runner.py
Normal file
183
src/sskj/bench/runner.py
Normal file
@ -0,0 +1,183 @@
|
|||||||
|
"""bench_serving invocation for native, docker, and server-container clients."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import shlex
|
||||||
|
import subprocess
|
||||||
|
import sys
|
||||||
|
import time
|
||||||
|
import urllib.request
|
||||||
|
from dataclasses import dataclass, field
|
||||||
|
from pathlib import Path
|
||||||
|
from typing import Any
|
||||||
|
|
||||||
|
|
||||||
|
@dataclass
|
||||||
|
class BenchClientOptions:
|
||||||
|
backend: str
|
||||||
|
host: str
|
||||||
|
port: int
|
||||||
|
model: str
|
||||||
|
dataset_name: str = "random"
|
||||||
|
dataset_path: str | None = None
|
||||||
|
container_dataset_path: str | None = None
|
||||||
|
random_range_ratio: float = 1.0
|
||||||
|
warmup_max_requests: int = 0
|
||||||
|
client_mode: str = "auto"
|
||||||
|
client_image: str | None = None
|
||||||
|
client_python: str | None = None
|
||||||
|
server_container: str | None = None
|
||||||
|
container_python: str | None = None
|
||||||
|
output_file: Path | None = None
|
||||||
|
detail_log: Path | None = None
|
||||||
|
timeout_s: int = 1800
|
||||||
|
root: Path | None = None
|
||||||
|
extra_env: dict[str, str] = field(default_factory=dict)
|
||||||
|
|
||||||
|
|
||||||
|
def _bench_args(scenario: dict[str, Any], options: BenchClientOptions) -> list[str]:
|
||||||
|
args = [
|
||||||
|
"--backend",
|
||||||
|
options.backend,
|
||||||
|
"--host",
|
||||||
|
options.host,
|
||||||
|
"--port",
|
||||||
|
str(options.port),
|
||||||
|
"--model",
|
||||||
|
options.model,
|
||||||
|
"--dataset-name",
|
||||||
|
options.dataset_name,
|
||||||
|
"--random-input-len",
|
||||||
|
str(scenario["input_len"]),
|
||||||
|
"--random-output-len",
|
||||||
|
str(scenario["output_len"]),
|
||||||
|
"--random-range-ratio",
|
||||||
|
str(options.random_range_ratio),
|
||||||
|
"--num-prompts",
|
||||||
|
str(scenario["num_prompts"]),
|
||||||
|
"--max-concurrency",
|
||||||
|
str(scenario["concurrency"]),
|
||||||
|
"--request-rate",
|
||||||
|
"10000",
|
||||||
|
"--output-details",
|
||||||
|
]
|
||||||
|
if options.warmup_max_requests and options.warmup_max_requests > 0:
|
||||||
|
args += ["--warmup-requests", str(options.warmup_max_requests)]
|
||||||
|
|
||||||
|
dataset_path = (
|
||||||
|
options.container_dataset_path
|
||||||
|
if options.client_mode == "server-container"
|
||||||
|
else options.dataset_path
|
||||||
|
)
|
||||||
|
if options.dataset_name == "random" and dataset_path:
|
||||||
|
args += ["--dataset-path", dataset_path]
|
||||||
|
elif options.dataset_name != "random":
|
||||||
|
args += ["--tokenize-prompt"]
|
||||||
|
return args
|
||||||
|
|
||||||
|
|
||||||
|
def _run(argv: list[str], log_path: Path | None, timeout_s: int) -> int:
|
||||||
|
log_path.parent.mkdir(parents=True, exist_ok=True)
|
||||||
|
try:
|
||||||
|
with open(log_path, "wb") as f:
|
||||||
|
proc = subprocess.run(argv, stdout=f, stderr=subprocess.STDOUT, timeout=timeout_s)
|
||||||
|
return proc.returncode
|
||||||
|
except subprocess.TimeoutExpired:
|
||||||
|
with open(log_path, "ab") as f:
|
||||||
|
f.write(b"\n[sskj] bench_serving timed out\n")
|
||||||
|
return 124
|
||||||
|
|
||||||
|
|
||||||
|
def run_scenario(scenario: dict[str, Any], options: BenchClientOptions) -> int:
|
||||||
|
if options.output_file is None or options.detail_log is None:
|
||||||
|
raise ValueError("output_file and detail_log are required")
|
||||||
|
|
||||||
|
base_args = _bench_args(scenario, options)
|
||||||
|
if options.client_mode == "native":
|
||||||
|
python_bin = options.client_python or sys.executable
|
||||||
|
return _run(
|
||||||
|
[python_bin, "-m", "sglang.bench_serving", *base_args, "--output-file", str(options.output_file)],
|
||||||
|
options.detail_log,
|
||||||
|
options.timeout_s,
|
||||||
|
)
|
||||||
|
|
||||||
|
if options.client_mode == "docker":
|
||||||
|
if not options.client_image:
|
||||||
|
raise SystemExit("docker client mode requires --client-image or DOCKER_CLIENT_IMAGE")
|
||||||
|
cmd = ["docker", "run", "--rm", "--network", "host"]
|
||||||
|
if options.root:
|
||||||
|
cmd += ["-v", f"{options.root}:{options.root}"]
|
||||||
|
if Path(options.model).exists():
|
||||||
|
cmd += ["-v", f"{options.model}:{options.model}:ro"]
|
||||||
|
if options.dataset_path and Path(options.dataset_path).exists():
|
||||||
|
cmd += ["-v", f"{options.dataset_path}:{options.dataset_path}:ro"]
|
||||||
|
if options.output_file:
|
||||||
|
cmd += ["-v", f"{options.output_file.parent}:{options.output_file.parent}"]
|
||||||
|
cmd += ["-e", "HF_HUB_OFFLINE=1", "-e", "TRANSFORMERS_OFFLINE=1", "-e", "HF_DATASETS_OFFLINE=1"]
|
||||||
|
cmd += [
|
||||||
|
options.client_image,
|
||||||
|
"python",
|
||||||
|
"-m",
|
||||||
|
"sglang.bench_serving",
|
||||||
|
*base_args,
|
||||||
|
"--output-file",
|
||||||
|
str(options.output_file),
|
||||||
|
]
|
||||||
|
return _run(cmd, options.detail_log, options.timeout_s)
|
||||||
|
|
||||||
|
if options.client_mode == "server-container":
|
||||||
|
if not options.server_container or not options.container_python:
|
||||||
|
raise SystemExit("server-container client mode requires --server-container and --container-python")
|
||||||
|
container_output = f"/tmp/bench_outputs/{options.output_file.name}"
|
||||||
|
mkdir = subprocess.run(
|
||||||
|
["docker", "exec", options.server_container, "mkdir", "-p", "/tmp/bench_outputs"],
|
||||||
|
stdout=subprocess.DEVNULL,
|
||||||
|
stderr=subprocess.DEVNULL,
|
||||||
|
)
|
||||||
|
if mkdir.returncode != 0:
|
||||||
|
raise SystemExit(
|
||||||
|
f"cannot prepare {options.server_container}:/tmp/bench_outputs (docker exec mkdir rc={mkdir.returncode})"
|
||||||
|
)
|
||||||
|
cmd = [
|
||||||
|
"docker",
|
||||||
|
"exec",
|
||||||
|
options.server_container,
|
||||||
|
"env",
|
||||||
|
"HF_HUB_OFFLINE=1",
|
||||||
|
"TRANSFORMERS_OFFLINE=1",
|
||||||
|
"HF_DATASETS_OFFLINE=1",
|
||||||
|
options.container_python,
|
||||||
|
"-m",
|
||||||
|
"sglang.bench_serving",
|
||||||
|
*base_args,
|
||||||
|
"--output-file",
|
||||||
|
container_output,
|
||||||
|
]
|
||||||
|
rc = _run(cmd, options.detail_log, options.timeout_s)
|
||||||
|
if rc == 0:
|
||||||
|
options.output_file.parent.mkdir(parents=True, exist_ok=True)
|
||||||
|
cp = subprocess.run(
|
||||||
|
["docker", "cp", f"{options.server_container}:{container_output}", str(options.output_file)],
|
||||||
|
stdout=subprocess.DEVNULL,
|
||||||
|
stderr=subprocess.DEVNULL,
|
||||||
|
)
|
||||||
|
return cp.returncode
|
||||||
|
return rc
|
||||||
|
|
||||||
|
raise SystemExit(f"unknown client mode: {options.client_mode}")
|
||||||
|
|
||||||
|
|
||||||
|
def wait_health(base_url: str, health_path: str = "/health", wait_s: int = 600) -> bool:
|
||||||
|
endpoint = base_url.rstrip("/") + (health_path or "/health")
|
||||||
|
for _ in range(max(1, wait_s)):
|
||||||
|
try:
|
||||||
|
with urllib.request.urlopen(endpoint, timeout=5):
|
||||||
|
return True
|
||||||
|
except Exception:
|
||||||
|
time.sleep(1)
|
||||||
|
return False
|
||||||
|
|
||||||
|
|
||||||
|
def split_env_assignments(value: str) -> list[str]:
|
||||||
|
"""Split a space-separated `KEY=VALUE` list while preserving simple quotes."""
|
||||||
|
return shlex.split(value) if value else []
|
||||||
71
src/sskj/bench/scenarios.py
Normal file
71
src/sskj/bench/scenarios.py
Normal file
@ -0,0 +1,71 @@
|
|||||||
|
"""Scenario generation for the unified benchmark CLI.
|
||||||
|
|
||||||
|
The matrix format intentionally stays identical to the legacy
|
||||||
|
`matrix.json` + `generate_scenarios.py` convention.
|
||||||
|
"""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import json
|
||||||
|
from pathlib import Path
|
||||||
|
from typing import Any
|
||||||
|
|
||||||
|
|
||||||
|
def generate_scenarios(
|
||||||
|
matrix_path: str | Path,
|
||||||
|
mode: str | None = None,
|
||||||
|
target_samples: int = 2,
|
||||||
|
) -> list[dict[str, Any]]:
|
||||||
|
"""Expand a matrix.json into the low/high concurrency scenario list."""
|
||||||
|
with open(matrix_path, encoding="utf-8") as f:
|
||||||
|
data = json.load(f)
|
||||||
|
|
||||||
|
selected_mode = mode or data.get("mode", "Y")
|
||||||
|
matrix = data["matrix"]
|
||||||
|
concurrency_cfg = data.get("concurrency", {})
|
||||||
|
|
||||||
|
scenarios: list[dict[str, Any]] = []
|
||||||
|
for isl_text in sorted(matrix.keys(), key=int):
|
||||||
|
isl = int(isl_text)
|
||||||
|
osl_map = matrix[isl_text]
|
||||||
|
cfg = concurrency_cfg.get(isl_text, {"low": 1, "high": 1})
|
||||||
|
low = int(cfg.get("low", 1))
|
||||||
|
high = int(cfg.get("high", low))
|
||||||
|
concurrencies = [low, high] if low != high else [low]
|
||||||
|
if target_samples and target_samples > 0:
|
||||||
|
concurrencies = concurrencies[: max(1, target_samples)]
|
||||||
|
|
||||||
|
for osl_text in sorted(osl_map.keys(), key=int):
|
||||||
|
mark = osl_map[osl_text]
|
||||||
|
if selected_mode == "Y" and mark != "Y":
|
||||||
|
continue
|
||||||
|
if selected_mode == "Y+P" and mark not in ("Y", "P"):
|
||||||
|
continue
|
||||||
|
if selected_mode == "all" and mark == "N":
|
||||||
|
continue
|
||||||
|
for conc in concurrencies:
|
||||||
|
scenarios.append(
|
||||||
|
{
|
||||||
|
"mark": mark,
|
||||||
|
"input_len": isl,
|
||||||
|
"output_len": int(osl_text),
|
||||||
|
"concurrency": conc,
|
||||||
|
"num_prompts": conc * 5,
|
||||||
|
}
|
||||||
|
)
|
||||||
|
return scenarios
|
||||||
|
|
||||||
|
|
||||||
|
def smoke_scenario(
|
||||||
|
isl: int = 1024,
|
||||||
|
osl: int = 128,
|
||||||
|
concurrency: int = 8,
|
||||||
|
num_prompts: int = 40,
|
||||||
|
) -> dict[str, Any]:
|
||||||
|
return {
|
||||||
|
"mark": "Y",
|
||||||
|
"input_len": isl,
|
||||||
|
"output_len": osl,
|
||||||
|
"concurrency": concurrency,
|
||||||
|
"num_prompts": num_prompts,
|
||||||
|
}
|
||||||
1
src/sskj/common/__init__.py
Normal file
1
src/sskj/common/__init__.py
Normal file
@ -0,0 +1 @@
|
|||||||
|
"""Shared helpers for sskj packages."""
|
||||||
106
src/sskj/common/env.py
Normal file
106
src/sskj/common/env.py
Normal file
@ -0,0 +1,106 @@
|
|||||||
|
"""Minimal bash-style .env parser used by sskj CLI modules.
|
||||||
|
|
||||||
|
The repository keeps deployment and platform configuration in shell `.env`
|
||||||
|
files so existing bash scripts can still source them. This parser understands
|
||||||
|
the scalar subset those files use: `KEY=value`, `export KEY=value`, quoted
|
||||||
|
values, comments, and `${VAR:-default}` substitution.
|
||||||
|
"""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import os
|
||||||
|
import re
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
_ASSIGN_RE = re.compile(r"^(?:export\s+)?([A-Za-z_][A-Za-z0-9_]*)\s*=\s*(.*)$")
|
||||||
|
_VAR_RE = re.compile(r"\$\{([A-Za-z_][A-Za-z0-9_]*)(?::-([^}]*))?\}")
|
||||||
|
|
||||||
|
|
||||||
|
def _strip_quotes(value: str) -> str:
|
||||||
|
value = value.strip()
|
||||||
|
if len(value) >= 2 and value[0] == value[-1] and value[0] in "\"'":
|
||||||
|
quote = value[0]
|
||||||
|
inner = value[1:-1]
|
||||||
|
if quote == '"':
|
||||||
|
inner = inner.replace('\\"', '"')
|
||||||
|
else:
|
||||||
|
inner = inner.replace("\\'", "'")
|
||||||
|
return inner
|
||||||
|
return value
|
||||||
|
|
||||||
|
|
||||||
|
def _strip_inline_comment(value: str) -> str:
|
||||||
|
in_single = False
|
||||||
|
in_double = False
|
||||||
|
for i, ch in enumerate(value):
|
||||||
|
if ch == "'" and not in_double:
|
||||||
|
in_single = not in_single
|
||||||
|
elif ch == '"' and not in_single:
|
||||||
|
in_double = not in_double
|
||||||
|
elif ch == "#" and not in_single and not in_double and (i == 0 or value[i - 1].isspace()):
|
||||||
|
return value[:i]
|
||||||
|
return value
|
||||||
|
|
||||||
|
|
||||||
|
def _expand(value: str, env: dict[str, str], depth: int = 0) -> str:
|
||||||
|
if depth > 6:
|
||||||
|
return value
|
||||||
|
|
||||||
|
def repl(match: re.Match[str]) -> str:
|
||||||
|
name = match.group(1)
|
||||||
|
default = match.group(2)
|
||||||
|
if name in env and env[name] != "":
|
||||||
|
return env[name]
|
||||||
|
if default is not None:
|
||||||
|
return _expand(default, env, depth + 1)
|
||||||
|
return match.group(0)
|
||||||
|
|
||||||
|
return _VAR_RE.sub(repl, value)
|
||||||
|
|
||||||
|
|
||||||
|
def parse_env_file(
|
||||||
|
path: str | Path,
|
||||||
|
base_env: dict[str, str] | None = None,
|
||||||
|
include_os_env: bool = True,
|
||||||
|
) -> dict[str, str]:
|
||||||
|
"""Parse a shell `.env` file and return resolved scalar variables."""
|
||||||
|
env: dict[str, str] = dict(os.environ if include_os_env else {})
|
||||||
|
if base_env:
|
||||||
|
env.update(base_env)
|
||||||
|
path = Path(path)
|
||||||
|
if not path.exists():
|
||||||
|
return env
|
||||||
|
|
||||||
|
text = path.read_text(encoding="utf-8")
|
||||||
|
pending = ""
|
||||||
|
for raw_line in text.splitlines():
|
||||||
|
line = raw_line.rstrip()
|
||||||
|
if line.endswith("\\"):
|
||||||
|
pending += line[:-1]
|
||||||
|
continue
|
||||||
|
if pending:
|
||||||
|
line = pending + line
|
||||||
|
pending = ""
|
||||||
|
line = line.strip()
|
||||||
|
if not line or line.startswith("#"):
|
||||||
|
continue
|
||||||
|
if line.startswith(("declare ", "if ", "fi", "for ", "done", "while ", "case ", "esac")):
|
||||||
|
continue
|
||||||
|
match = _ASSIGN_RE.match(line)
|
||||||
|
if not match:
|
||||||
|
continue
|
||||||
|
key, raw_value = match.group(1), match.group(2)
|
||||||
|
raw_value = _strip_inline_comment(raw_value)
|
||||||
|
raw_value = _strip_quotes(raw_value)
|
||||||
|
env[key] = _expand(raw_value, env)
|
||||||
|
|
||||||
|
for key, value in list(env.items()):
|
||||||
|
env[key] = _expand(value, env)
|
||||||
|
return env
|
||||||
|
|
||||||
|
|
||||||
|
def expand_template(template: str, values: dict[str, str]) -> str:
|
||||||
|
"""Expand `${VAR}` placeholders using the provided values."""
|
||||||
|
from string import Template
|
||||||
|
|
||||||
|
return Template(template).safe_substitute(values)
|
||||||
1
src/sskj/deploy/__init__.py
Normal file
1
src/sskj/deploy/__init__.py
Normal file
@ -0,0 +1 @@
|
|||||||
|
"""Model-team deployment layer for sskj."""
|
||||||
4
src/sskj/deploy/__main__.py
Normal file
4
src/sskj/deploy/__main__.py
Normal file
@ -0,0 +1,4 @@
|
|||||||
|
from sskj.deploy.cli import main
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
raise SystemExit(main())
|
||||||
84
src/sskj/deploy/cli.py
Normal file
84
src/sskj/deploy/cli.py
Normal file
@ -0,0 +1,84 @@
|
|||||||
|
"""CLI entrypoint: python -m sskj.deploy (model-team only)."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import argparse
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
from sskj.bench.config import repo_root
|
||||||
|
from sskj.deploy import runtime
|
||||||
|
from sskj.deploy.profile import load_profile, render_profile, validate_profile
|
||||||
|
|
||||||
|
|
||||||
|
def _build_parser() -> argparse.ArgumentParser:
|
||||||
|
parser = argparse.ArgumentParser(prog="python -m sskj.deploy", description="sskj deployment CLI")
|
||||||
|
parser.add_argument("--repo-root", type=Path, default=None)
|
||||||
|
sub = parser.add_subparsers(dest="command", required=True)
|
||||||
|
|
||||||
|
for name in ("show", "render-args", "start", "stop", "status"):
|
||||||
|
p = sub.add_parser(name)
|
||||||
|
p.add_argument("--profile", required=True)
|
||||||
|
p.add_argument("--tp", type=int, default=None)
|
||||||
|
p.add_argument("--dp", type=int, default=None)
|
||||||
|
p.add_argument("--port", type=int, default=None)
|
||||||
|
p.add_argument("--model-path", default=None)
|
||||||
|
p.add_argument("--container-name", default=None)
|
||||||
|
p.add_argument("--node-rank", type=int, default=None)
|
||||||
|
p.add_argument("--dry-run", action="store_true")
|
||||||
|
p.add_argument("--log-dir", default=None)
|
||||||
|
return parser
|
||||||
|
|
||||||
|
|
||||||
|
def _overrides(args: argparse.Namespace) -> dict[str, str]:
|
||||||
|
values: dict[str, str] = {}
|
||||||
|
if args.tp is not None:
|
||||||
|
values["TP"] = str(args.tp)
|
||||||
|
if args.dp is not None:
|
||||||
|
values["DP"] = str(args.dp)
|
||||||
|
if args.port is not None:
|
||||||
|
values["PORT"] = str(args.port)
|
||||||
|
if args.model_path:
|
||||||
|
values["MODEL_PATH"] = args.model_path
|
||||||
|
if args.container_name:
|
||||||
|
values["CONTAINER_NAME"] = args.container_name
|
||||||
|
if args.node_rank is not None:
|
||||||
|
values["NODE_RANK"] = str(args.node_rank)
|
||||||
|
return values
|
||||||
|
|
||||||
|
|
||||||
|
def _cmd(args: argparse.Namespace, root: Path) -> int:
|
||||||
|
profile = render_profile(load_profile(root, args.profile), _overrides(args))
|
||||||
|
validate_profile(profile)
|
||||||
|
if args.command == "show":
|
||||||
|
keys = [
|
||||||
|
"PLATFORM",
|
||||||
|
"MODEL_NAME",
|
||||||
|
"ENGINE",
|
||||||
|
"RUNTIME",
|
||||||
|
"DOCKER_IMAGE",
|
||||||
|
"CONTAINER_NAME",
|
||||||
|
"MODEL_PATH",
|
||||||
|
"SERVED_MODEL_NAME",
|
||||||
|
"PORT",
|
||||||
|
"HEALTH_PATH",
|
||||||
|
"LAUNCH_ARGS",
|
||||||
|
]
|
||||||
|
for key in keys:
|
||||||
|
print(f"{key}={profile.get(key, '')}")
|
||||||
|
return 0
|
||||||
|
if args.command == "render-args":
|
||||||
|
print(profile.get("LAUNCH_ARGS", ""))
|
||||||
|
return 0
|
||||||
|
if args.command == "start":
|
||||||
|
return runtime.start(profile, root, dry_run=args.dry_run, log_dir=args.log_dir)
|
||||||
|
if args.command == "stop":
|
||||||
|
return runtime.stop(profile, root)
|
||||||
|
if args.command == "status":
|
||||||
|
return runtime.status(profile, root)
|
||||||
|
return 2
|
||||||
|
|
||||||
|
|
||||||
|
def main(argv: list[str] | None = None) -> int:
|
||||||
|
args = _build_parser().parse_args(argv)
|
||||||
|
root = args.repo_root or repo_root()
|
||||||
|
return _cmd(args, root)
|
||||||
75
src/sskj/deploy/profile.py
Normal file
75
src/sskj/deploy/profile.py
Normal file
@ -0,0 +1,75 @@
|
|||||||
|
"""Deployment profile loading and rendering."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
from sskj.common.env import expand_template, parse_env_file
|
||||||
|
|
||||||
|
REQUIRED_FIELDS = [
|
||||||
|
"PLATFORM",
|
||||||
|
"MODEL_NAME",
|
||||||
|
"ENGINE",
|
||||||
|
"MODEL_PATH",
|
||||||
|
"SERVED_MODEL_NAME",
|
||||||
|
"PORT",
|
||||||
|
"HEALTH_PATH",
|
||||||
|
]
|
||||||
|
|
||||||
|
|
||||||
|
def resolve_profile(root: Path, profile: str | Path) -> Path:
|
||||||
|
path = Path(profile)
|
||||||
|
if path.exists():
|
||||||
|
return path
|
||||||
|
candidates = [
|
||||||
|
root / "deploy" / "profiles" / f"{profile}.env",
|
||||||
|
root / "deploy" / "profiles" / f"{profile}",
|
||||||
|
]
|
||||||
|
for candidate in candidates:
|
||||||
|
if candidate.exists():
|
||||||
|
return candidate
|
||||||
|
raise SystemExit(f"deploy profile not found: {profile}")
|
||||||
|
|
||||||
|
|
||||||
|
def load_profile(root: Path, profile: str | Path) -> dict[str, str]:
|
||||||
|
path = resolve_profile(root, profile)
|
||||||
|
return parse_env_file(path, base_env={"ROOT_DIR": str(root)})
|
||||||
|
|
||||||
|
|
||||||
|
def render_profile(profile: dict[str, str], overrides: dict[str, str] | None = None) -> dict[str, str]:
|
||||||
|
values = dict(profile)
|
||||||
|
if overrides:
|
||||||
|
values.update(overrides)
|
||||||
|
values.setdefault("TP", "8")
|
||||||
|
values.setdefault("DP", "1")
|
||||||
|
|
||||||
|
template_keys = [
|
||||||
|
"CONTAINER_NAME",
|
||||||
|
"DEVICE_VARS",
|
||||||
|
"ENGINE_ENV",
|
||||||
|
"LAUNCH_ARGS",
|
||||||
|
"DP_FLAG",
|
||||||
|
"DOCKER_FLAGS",
|
||||||
|
"VOLUMES",
|
||||||
|
"PATCH_MOUNTS",
|
||||||
|
"BOOTSTRAP",
|
||||||
|
"MODEL_PATH",
|
||||||
|
"PORT",
|
||||||
|
]
|
||||||
|
rendered = dict(values)
|
||||||
|
for key in template_keys:
|
||||||
|
if key in rendered:
|
||||||
|
rendered[key] = expand_template(str(rendered[key]), values)
|
||||||
|
|
||||||
|
dp = int(values["DP"])
|
||||||
|
if dp > 1 and rendered.get("DP_FLAG"):
|
||||||
|
rendered["LAUNCH_ARGS"] = f"{rendered.get('LAUNCH_ARGS', '')} {rendered['DP_FLAG']}".strip()
|
||||||
|
if not rendered.get("RUNTIME"):
|
||||||
|
rendered["RUNTIME"] = "docker" if rendered.get("DOCKER_IMAGE") else "native"
|
||||||
|
return rendered
|
||||||
|
|
||||||
|
|
||||||
|
def validate_profile(profile: dict[str, str]) -> None:
|
||||||
|
missing = [key for key in REQUIRED_FIELDS if not profile.get(key)]
|
||||||
|
if missing:
|
||||||
|
raise SystemExit(f"deploy profile missing required fields: {', '.join(missing)}")
|
||||||
147
src/sskj/deploy/runtime.py
Normal file
147
src/sskj/deploy/runtime.py
Normal file
@ -0,0 +1,147 @@
|
|||||||
|
"""Docker/native server lifecycle for deployment profiles."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import base64
|
||||||
|
import shlex
|
||||||
|
import subprocess
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
from sskj.bench.runner import split_env_assignments, wait_health
|
||||||
|
|
||||||
|
|
||||||
|
def _log_dir(root: Path, log_dir: str | None) -> Path:
|
||||||
|
path = Path(log_dir) if log_dir else root / "deploy" / "logs"
|
||||||
|
path.mkdir(parents=True, exist_ok=True)
|
||||||
|
return path
|
||||||
|
|
||||||
|
|
||||||
|
def _health_url(profile: dict[str, str]) -> str:
|
||||||
|
host = profile.get("HEALTH_HOST", "127.0.0.1")
|
||||||
|
return f"http://{host}:{profile['PORT']}"
|
||||||
|
|
||||||
|
|
||||||
|
def start(profile: dict[str, str], root: Path, dry_run: bool = False, log_dir: str | None = None) -> int:
|
||||||
|
validate_runtime(profile)
|
||||||
|
logs = _log_dir(root, log_dir)
|
||||||
|
runtime = profile["RUNTIME"]
|
||||||
|
container = profile.get("CONTAINER_NAME", "")
|
||||||
|
health_wait = int(profile.get("HEALTH_WAIT_S", "600") or 600)
|
||||||
|
|
||||||
|
if runtime == "docker":
|
||||||
|
if not profile.get("DOCKER_IMAGE"):
|
||||||
|
raise SystemExit("docker runtime requires DOCKER_IMAGE")
|
||||||
|
if not container:
|
||||||
|
raise SystemExit("docker runtime requires CONTAINER_NAME")
|
||||||
|
if not dry_run:
|
||||||
|
subprocess.run(["docker", "rm", "-f", container], capture_output=True, check=False)
|
||||||
|
|
||||||
|
cmd = ["docker", "run", "-d", "--name", container]
|
||||||
|
if profile.get("DOCKER_FLAGS"):
|
||||||
|
cmd += shlex.split(profile["DOCKER_FLAGS"])
|
||||||
|
if profile.get("NETWORK_MODE") == "bridge" and profile.get("PORT_MAP") == "1":
|
||||||
|
cmd += ["-p", f"{profile['PORT']}:{profile['PORT']}"]
|
||||||
|
for volume in split_env_assignments(profile.get("VOLUMES", "") + " " + profile.get("PATCH_MOUNTS", "")):
|
||||||
|
cmd += ["-v", volume]
|
||||||
|
for assignment in split_env_assignments(
|
||||||
|
profile.get("DEVICE_VARS", "") + " " + profile.get("ENGINE_ENV", "")
|
||||||
|
):
|
||||||
|
cmd += ["-e", assignment]
|
||||||
|
cmd.append(profile["DOCKER_IMAGE"])
|
||||||
|
|
||||||
|
bootstrap = profile.get("BOOTSTRAP", "")
|
||||||
|
if bootstrap:
|
||||||
|
encoded = base64.b64encode(bootstrap.encode("utf-8")).decode("ascii")
|
||||||
|
cmd += ["bash", "-c", f"echo {encoded} | base64 -d | bash"]
|
||||||
|
else:
|
||||||
|
python_bin = profile.get("CONTAINER_PYTHON", "python")
|
||||||
|
cmd += ["bash", "-c", f"{python_bin} -m sglang.launch_server {profile['LAUNCH_ARGS']}"]
|
||||||
|
|
||||||
|
(logs / f"{container}.cmd.txt").write_text(shlex.join(cmd) + "\n", encoding="utf-8")
|
||||||
|
if dry_run:
|
||||||
|
print(shlex.join(cmd))
|
||||||
|
return 0
|
||||||
|
print(f"starting container {container} ...")
|
||||||
|
result = subprocess.run(cmd, capture_output=True, text=True)
|
||||||
|
if result.returncode != 0:
|
||||||
|
print(result.stdout, result.stderr)
|
||||||
|
return result.returncode
|
||||||
|
if wait_health(_health_url(profile), profile.get("HEALTH_PATH", "/health"), health_wait):
|
||||||
|
print(f"container {container} is healthy")
|
||||||
|
return 0
|
||||||
|
subprocess.run(["docker", "logs", "--tail", "100", container], check=False)
|
||||||
|
print(f"ERROR: container {container} failed health check")
|
||||||
|
return 1
|
||||||
|
|
||||||
|
# native runtime
|
||||||
|
python_bin = profile.get("PYTHON_BIN") or profile.get("CONTAINER_PYTHON") or "python3"
|
||||||
|
launch_args = shlex.split(profile.get("LAUNCH_ARGS", ""))
|
||||||
|
cmd = [python_bin, "-m", "sglang.launch_server", *launch_args]
|
||||||
|
log_path = logs / f"{profile.get('MODEL_NAME', 'server')}.log"
|
||||||
|
pid_file = logs / f"{profile.get('MODEL_NAME', 'server')}.pid"
|
||||||
|
if dry_run:
|
||||||
|
print(shlex.join(cmd))
|
||||||
|
return 0
|
||||||
|
with open(log_path, "wb") as f:
|
||||||
|
proc = subprocess.Popen(cmd, stdout=f, stderr=subprocess.STDOUT)
|
||||||
|
pid_file.write_text(str(proc.pid), encoding="utf-8")
|
||||||
|
print(f"started native server pid={proc.pid} log={log_path}")
|
||||||
|
if wait_health(_health_url(profile), profile.get("HEALTH_PATH", "/health"), health_wait):
|
||||||
|
print("native server is healthy")
|
||||||
|
return 0
|
||||||
|
print(f"ERROR: native server failed health check; see {log_path}")
|
||||||
|
return 1
|
||||||
|
|
||||||
|
|
||||||
|
def stop(profile: dict[str, str], root: Path) -> int:
|
||||||
|
validate_runtime(profile)
|
||||||
|
if profile["RUNTIME"] == "docker":
|
||||||
|
container = profile.get("CONTAINER_NAME")
|
||||||
|
if not container:
|
||||||
|
raise SystemExit("docker runtime requires CONTAINER_NAME")
|
||||||
|
subprocess.run(["docker", "rm", "-f", container], capture_output=True, check=False)
|
||||||
|
print(f"container {container} removed")
|
||||||
|
return 0
|
||||||
|
logs = _log_dir(root, None)
|
||||||
|
pid_file = logs / f"{profile.get('MODEL_NAME', 'server')}.pid"
|
||||||
|
if pid_file.exists():
|
||||||
|
pid = pid_file.read_text(encoding="utf-8").strip()
|
||||||
|
if pid:
|
||||||
|
subprocess.run(["kill", pid], capture_output=True, check=False)
|
||||||
|
print(f"killed native server pid={pid}")
|
||||||
|
pid_file.unlink(missing_ok=True)
|
||||||
|
return 0
|
||||||
|
|
||||||
|
|
||||||
|
def status(profile: dict[str, str], root: Path) -> int:
|
||||||
|
validate_runtime(profile)
|
||||||
|
if profile["RUNTIME"] == "docker":
|
||||||
|
container = profile.get("CONTAINER_NAME", "")
|
||||||
|
result = subprocess.run(
|
||||||
|
["docker", "inspect", "-f", "{{.State.Status}}", container],
|
||||||
|
capture_output=True,
|
||||||
|
text=True,
|
||||||
|
check=False,
|
||||||
|
)
|
||||||
|
print(result.stdout.strip() or "missing")
|
||||||
|
return 0 if result.returncode == 0 else 1
|
||||||
|
logs = _log_dir(root, None)
|
||||||
|
pid_file = logs / f"{profile.get('MODEL_NAME', 'server')}.pid"
|
||||||
|
if not pid_file.exists():
|
||||||
|
print("stopped")
|
||||||
|
return 1
|
||||||
|
pid = pid_file.read_text(encoding="utf-8").strip()
|
||||||
|
result = subprocess.run(["kill", "-0", pid], capture_output=True, check=False)
|
||||||
|
print("running" if result.returncode == 0 else "stopped")
|
||||||
|
return 0 if result.returncode == 0 else 1
|
||||||
|
|
||||||
|
|
||||||
|
def validate_runtime(profile: dict[str, str]) -> None:
|
||||||
|
runtime = profile.get("RUNTIME", "docker" if profile.get("DOCKER_IMAGE") else "native")
|
||||||
|
if runtime not in ("docker", "native"):
|
||||||
|
raise SystemExit(f"unsupported runtime: {runtime}")
|
||||||
|
profile["RUNTIME"] = runtime
|
||||||
|
if runtime == "docker" and not profile.get("DOCKER_IMAGE"):
|
||||||
|
raise SystemExit("docker runtime requires DOCKER_IMAGE")
|
||||||
|
if runtime == "native" and not profile.get("PYTHON_BIN") and not profile.get("CONTAINER_PYTHON"):
|
||||||
|
raise SystemExit("native runtime requires PYTHON_BIN or CONTAINER_PYTHON")
|
||||||
Loading…
x
Reference in New Issue
Block a user