31 lines
1.3 KiB
Bash
Executable File
31 lines
1.3 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -euo pipefail
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# 获取fluent-bit-host01容器名称
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container_name="logging-mvp-fluent-bit-host01-1"
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# 检查容器是否存在并运行
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if ! docker ps | grep -q "$container_name"; then
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echo "[ERROR] Fluent Bit容器 $container_name 未运行"
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exit 1
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fi
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# 创建日志目录
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docker exec "$container_name" mkdir -p /logs/train /logs/infer
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# 写入训练日志 (host01)
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docker exec "$container_name" sh -c "printf '%s INFO [host01] training step=1 loss=1.23 model=bert\n' \"\$(date '+%F %T')\" >> /logs/train/train-demo.log"
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docker exec "$container_name" sh -c "printf '%s INFO [host01] training step=2 loss=1.15 model=bert\n' \"\$(date '+%F %T')\" >> /logs/train/train-demo.log"
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# 写入推理日志 (host01)
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docker exec "$container_name" sh -c "printf '%s ERROR [host01] inference failed on batch=1\n' \"\$(date '+%F %T')\" >> /logs/infer/infer-demo.log"
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docker exec "$container_name" sh -c "cat <<'STACK' >> /logs/infer/infer-demo.log
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Traceback (most recent call last):
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File \"inference.py\", line 15, in <module>
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raise RuntimeError(\"CUDA out of memory on host01\")
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RuntimeError: CUDA out of memory on host01
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STACK"
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echo "[OK] 已通过docker exec写入测试日志到 host01 容器内："
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echo " - /logs/train/train-demo.log"
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echo " - /logs/infer/infer-demo.log" |