feat : add setup_logging with hierarchical astrai logger

- setup_logging(): attach handler only to astrai logger, not root
- all astrai.* sub-module loggers inherit automatically
- controlled by ASTR_LOG_LEVEL env var (default INFO)
- called in if __name__ == '__main__' of each CLI script
This commit is contained in:
2026-07-27 08:13:48 +08:00
parent 53c804e233
commit 07625057f2
6 changed files with 38 additions and 0 deletions
+2
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@@ -1,6 +1,7 @@
import click
import torch
from astrai import setup_logging
from astrai.config import AutoRegressiveLMConfig
_DTYPES = ["bfloat16", "float16", "float32"]
@@ -204,4 +205,5 @@ def benchmark_command(
if __name__ == "__main__":
setup_logging()
benchmark_command()
+2
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@@ -5,6 +5,7 @@ import click
import torch
from tqdm import tqdm
from astrai import setup_logging
from astrai.inference import InferenceEngine
from astrai.model import AutoModel
from astrai.tokenize import AutoTokenizer
@@ -162,4 +163,5 @@ def generate_command(**kwargs):
if __name__ == "__main__":
setup_logging()
generate_command()
+2
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@@ -2,6 +2,7 @@
import click
from astrai import setup_logging
from astrai.config.preprocess_config import PipelineConfig
from astrai.preprocessing.pipeline import Pipeline
@@ -47,4 +48,5 @@ def preprocess_command(inputs, output_dir, pipeline_config, tokenizer_path, batc
if __name__ == "__main__":
setup_logging()
preprocess_command()
+2
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@@ -3,6 +3,7 @@ from pathlib import Path
import click
import torch
from astrai import setup_logging
from astrai.inference import run_server
_DTYPES = ["bfloat16", "float16", "float32"]
@@ -64,4 +65,5 @@ def server_command(
if __name__ == "__main__":
setup_logging()
server_command()
+2
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@@ -7,6 +7,7 @@ import click
import torch
from torch import Tensor, nn, optim
from astrai import setup_logging
from astrai.config import AutoRegressiveLMConfig, TrainConfig
from astrai.dataset import DatasetFactory, dpo_collate_fn, grpo_collate_fn
from astrai.model import AutoRegressiveLM
@@ -556,4 +557,5 @@ def train(
if __name__ == "__main__":
setup_logging()
train_command()