Fix metric_id and log parsing

nvidia_nim/assets/logs/nvidia_nim.yaml

@@ -1,5 +1,5 @@
 id: nvidia_nim
-metric_id: nvidia_nim
+metric_id: nvidia-nim
 backend_only: false
 facets:
 pipeline:

nvidia_nim/assets/logs/nvidia_nim_tests.yaml

@@ -3,7 +3,7 @@ tests:
   # This log sample satisfies the validation.
  -
   sample: |-
-    "2024-10-30 21:56:25,295 [INFO] PyTorch version 2.3.1 available."
+    2024-10-30 21:56:25,295 [INFO] PyTorch version 2.3.1 available.
   result:
     custom:
       level: "INFO"
@@ -15,26 +15,26 @@ tests:
     timestamp: 1730325385295
  - 
   sample: |-
-    "2024-10-30 21:58:26,914 [WARNING] [TRT-LLM] [W] Logger level already set from environment. Discard new verbosity: error"
+    2024-10-30 21:58:26,914 [WARNING] [TRT-LLM] [W] Logger level already set from environment. Discard new verbosity: error
   result:
     custom:
       level: "WARNING"
       timestamp: 1730325506914
       component_name: "TRT-LLM"
     message: "Logger level already set from environment. Discard new verbosity: error"
-    status: "warning"
+    status: "warn"
     tags:
      - "source:LOGS_SOURCE"
     timestamp: 1730325506914
  -
   sample: |-
-    "INFO 2024-10-30 21:56:28.831 ngc_injector.py:152] Valid profile: e45b4b991bbc51d0df3ce53e87060fc3a7f76555406ed534a8479c6faa706987 (tensorrt_llm-a10g-bf16-tp4-latency) on GPUs [0, 1, 2, 3]"
+    INFO 2024-10-30 21:56:28.831 ngc_injector.py:152] Valid profile: e45b4b991bbc51d0df3ce53e87060fc3a7f76555406ed534a8479c6faa706987 (tensorrt_llm-a10g-bf16-tp4-latency) on GPUs [0, 1, 2, 3]
   result:
     custom:
       level: "INFO"
       timestamp: 1730325388831
       logger:
-        line: 152
+        line: "152"
         name: "ngc_injector.py"
     message: "Valid profile: e45b4b991bbc51d0df3ce53e87060fc3a7f76555406ed534a8479c6faa706987 (tensorrt_llm-a10g-bf16-tp4-latency) on GPUs [0, 1, 2, 3]"
     status: "info"
@@ -43,16 +43,16 @@ tests:
     timestamp: 1730325388831
  -
   sample: |-
-    "WARNING 2024-10-30 21:58:27.670 arg_utils.py:775] Chunked prefill is enabled by default for models with max_model_len > 32K. Currently, chunked prefill might not work with some features or models. If you encounter any issues, please disable chunked prefill by setting --enable-chunked-prefill=False."
+    WARNING 2024-10-30 21:58:27.670 arg_utils.py:775] Chunked prefill is enabled by default for models with max_model_len > 32K. Currently, chunked prefill might not work with some features or models. If you encounter any issues, please disable chunked prefill by setting --enable-chunked-prefill=False.
   result:
     custom:
       level: "WARNING"
       timestamp: 1730325507670
       logger:
-        line: 775
+        line: "775"
         name: "arg_utils.py"
     message: "Chunked prefill is enabled by default for models with max_model_len > 32K. Currently, chunked prefill might not work with some features or models. If you encounter any issues, please disable chunked prefill by setting --enable-chunked-prefill=False."
-    status: "warning"
+    status: "warn"
     tags:
      - "source:LOGS_SOURCE"
     timestamp: 1730325507670