我正试图解析一些日志文件,以获取一些数字并将其转换成CSV文件。日志文件有很多日志消息,但下面是需要解析的行的摘录
我正在尝试将下面这个文本文件中的丢失和准确数字输入到CSV中。对bash或python技巧有什么建议吗
1500/1500 [==============================] - 1802s 1s/step - loss: 0.3430 - accuracy: 0.8753 - val_loss: 0.1110 - val_accuracy: 0.9670
Epoch 00002: saving model to /root/data-cache/data/tmp/models/ota-cfo-10k_20200527-001913_02_0.069291627_0.98.h5
1500/1500 [==============================] - 1679s 1s/step - loss: 0.0849 - accuracy: 0.9739 - val_loss: 0.0693 - val_accuracy: 0.9807
Epoch 00003: saving model to /root/data-cache/data/tmp/models/ota-cfo-10k_20200527-001913_03_0.055876694_0.98.h5
1500/1500 [==============================] - 1674s 1s/step - loss: 0.0742 - accuracy: 0.9791 - val_loss: 0.0559 - val_accuracy: 0.9845
Epoch 00004: saving model to /root/data-cache/data/tmp/models/ota-cfo-10k_20200527-001913_04_0.053867317_0.99.h5
1500/1500 [==============================] - 1671s 1s/step - loss: 0.0565 - accuracy: 0.9841 - val_loss: 0.0539 - val_accuracy: 0.9850
Epoch 00005: saving model to /root/data-cache/data/tmp/models/ota-cfo-10k_20200527-001913_05_0.053266536_0.99.h5
1500/1500 [==============================] - 1675s 1s/step - loss: 0.0409 - accuracy: 0.9881 - val_loss: 0.0533 - val_accuracy: 0.9855
以下是我在python中尝试的内容:
import re
text = r"""00 [==============================] - 1802s 1s/step - loss: 0.3430 - accuracy: 0.8753 - val_loss: 0.1110 - val_accuracy: 0.9670
Epoch 00002: saving model to /root/data-cache/data/tmp/models/ota-cfo-10k_20200527-001913_02_0.069291627_0.98.h5
1500/1500 [==============================] - 1679s 1s/step - loss: 0.0849 - accuracy: 0.9739 - val_loss: 0.0693 - val_accuracy: 0.9807
Epoch 00003: saving model to /root/data-cache/data/tmp/models/ota-cfo-10k_20200527-001913_03_0.055876694_0.98.h5
1500/1500 [==============================] - 1674s 1s/step - loss: 0.0742 - accuracy: 0.9791 - val_loss: 0.0559 - val_accuracy: 0.9845
Epoch 00004: saving model to /root/data-cache/data/tmp/models/ota-cfo-10k_20200527-001913_04_0.053867317_0.99.h5
1500/1500 [==============================] - 1671s 1s/step - loss: 0.0565 - accuracy: 0.9841 - val_loss: 0.0539 - val_accuracy: 0.9850
Epoch 00005: saving model to /root/data-cache/data/tmp/models/ota-cfo-10k_20200527-001913_05_0.053266536_0.99.h5"""
regular_exp = re.compile(r'^.*val_accuracy.*$', re.M)
for match in regular_exp.finditer(text)
print(match)
在Python中,使用命名捕获组:
见proof
Python代码:
见Python proof online,输出
把那些东西放到
test.log
要在输出中删除您要求的csv字段,请执行以下操作:
有很多方法可以提高它的健壮性和灵活性,但它在提供的示例中起作用
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