我正在编写一个自动程序，我希望运行它来排除错误并收集信息。根据我当前的设置，我得到了一个循环实例的以下示例日志记录：
2024-03-21 10:14:44,843 - ERROR - error processing shot '20221201.033':
Traceback (most recent call last):
File "/home/Desktop/Code/git/populate_database.py", line 76, in <module>
raise Exception(f"n{stderr.decode()}")
Exception: n
Fetching parlog information for shot 20221201.033 from archive: 0%| | 0/5 [00:00<?, ?it/s]
Fetching parlog information for shot 20221201.033 from archive: 0%| | 0/5 [00:00<?, ?it/s]
Loading raw spectrometer data: 0%| | 0/1016 [00:00<?, ?it/s]
Loading raw spectrometer data: 12%|█▏ | 117/1016 [00:00<00:00, 1164.76it/s]
Loading raw spectrometer data: 24%|██▎ | 239/1016 [00:00<00:00, 1194.36it/s]
Loading raw spectrometer data: 36%|███▌ | 361/1016 [00:00<00:00, 1203.52it/s]
Loading raw spectrometer data: 48%|████▊ | 485/1016 [00:00<00:00, 1217.46it/s]
Loading raw spectrometer data: 60%|█████▉ | 607/1016 [00:00<00:00, 1201.72it/s]
Loading raw spectrometer data: 72%|███████▏ | 729/1016 [00:00<00:00, 1206.46it/s]
Loading raw spectrometer data: 84%|████████▎ | 850/1016 [00:00<00:00, 1201.80it/s]
Loading raw spectrometer data: 96%|█████████▌| 976/1016 [00:00<00:00, 1218.04it/s]
Loading raw spectrometer data: 100%|██████████| 1016/1016 [00:00<00:00, 1209.91it/s]
Status CXRS fits for ILS_Green: 0%| | 0/10 [00:00<?, ?it/s]
Status CXRS fits for ILS_Green: 10%|█ | 1/10 [00:45<06:46, 45.17s/it]
Status CXRS fits for ILS_Green: 20%|██ | 2/10 [00:46<02:36, 19.55s/it]
Status CXRS fits for ILS_Green: 30%|███ | 3/10 [00:48<01:20, 11.46s/it]
Status CXRS fits for ILS_Green: 40%|████ | 4/10 [00:50<00:46, 7.77s/it]
Status CXRS fits for ILS_Green: 50%|█████ | 5/10 [00:52<00:28, 5.62s/it]
Status CXRS fits for ILS_Green: 60%|██████ | 6/10 [00:54<00:17, 4.29s/it]
Status CXRS fits for ILS_Green: 70%|███████ | 7/10 [00:56<00:10, 3.50s/it]
Status CXRS fits for ILS_Green: 80%|████████ | 8/10 [00:58<00:06, 3.03s/it]
Status CXRS fits for ILS_Green: 90%|█████████ | 9/10 [00:59<00:02, 2.60s/it]
Status CXRS fits for ILS_Green: 100%|██████████| 10/10 [01:01<00:00, 2.44s/it]
Status CXRS fits for ILS_Green: 100%|██████████| 10/10 [01:01<00:00, 6.19s/it]
Reading in neutral densities:: 0%| | 0/10 [00:00<?, ?it/s]
Reading in neutral densities:: 10%|█ | 1/10 [00:00<00:01, 5.89it/s]
Reading in neutral densities:: 100%|██████████| 10/10 [00:00<00:00, 42.78it/s]
Reading in neutral densities:: 100%|██████████| 10/10 [00:00<00:00, 35.99it/s]
Mapping beam densities to cxrs timings : 0%| | 0/10 [00:00<?, ?it/s]
Mapping beam densities to cxrs timings : 100%|██████████| 10/10 [00:00<00:00, 2039.34it/s]
Calculating reaction rates at profile time points: 0%| | 0/10 [00:00<?, ?it/s]
Calculating reaction rates at profile time points: 100%|██████████| 10/10 [00:00<00:00, 96.96it/s]
Calculating reaction rates at profile time points: 100%|██████████| 10/10 [00:00<00:00, 96.79it/s]
Writing rate information to each crossed cell: 0%| | 0/10 [00:00<?, ?it/s]
Writing rate information to each crossed cell: 30%|███ | 3/10 [00:00<00:00, 27.87it/s]
Writing rate information to each crossed cell: 60%|██████ | 6/10 [00:00<00:00, 28.86it/s]
Writing rate information to each crossed cell: 90%|█████████ | 9/10 [00:00<00:00, 29.17it/s]
Writing rate information to each crossed cell: 100%|██████████| 10/10 [00:00<00:00, 29.02it/s]
Mapping rates to CXRS timings : 0%| | 0/10 [00:00<?, ?it/s]
Mapping rates to CXRS timings : 100%|██████████| 10/10 [00:00<00:00, 2526.23it/s]
Calculating impurity densities : 0%| | 0/10 [00:00<?, ?it/s]
Calculating impurity densities : 80%|████████ | 8/10 [00:00<00:00, 73.74it/s]
Calculating impurity densities : 100%|██████████| 10/10 [00:00<00:00, 73.56it/s]
Updating Z_eff profile: 0%| | 0/10 [00:00<?, ?it/s]
Updating Z_eff profile: 80%|████████ | 8/10 [00:00<00:00, 73.27it/s]
Updating Z_eff profile: 100%|██████████| 10/10 [00:00<00:00, 71.03it/s]
Assessing convergence: 0%| | 0/10 [00:00<?, ?it/s]
Assessing convergence: 0%| | 0/10 [00:00<?, ?it/s]
Calculating reaction rates at profile time points: 0%| | 0/10 [00:00<?, ?it/s]
Calculating reaction rates at profile time points: 100%|██████████| 10/10 [00:00<00:00, 100.11it/s]
Writing rate information to each crossed cell: 0%| | 0/10 [00:00<?, ?it/s]
Writing rate information to each crossed cell: 40%|████ | 4/10 [00:00<00:00, 30.03it/s]
Writing rate information to each crossed cell: 80%|████████ | 8/10 [00:00<00:00, 30.17it/s]
Writing rate information to each crossed cell: 100%|██████████| 10/10 [00:00<00:00, 30.07it/s]
Mapping rates to CXRS timings : 0%| | 0/10 [00:00<?, ?it/s]
Mapping rates to CXRS timings : 100%|██████████| 10/10 [00:00<00:00, 3282.44it/s]
Calculating impurity densities : 0%| | 0/10 [00:00<?, ?it/s]
Calculating impurity densities : 80%|████████ | 8/10 [00:00<00:00, 73.31it/s]
Calculating impurity densities : 100%|██████████| 10/10 [00:00<00:00, 73.30it/s]
Updating Z_eff profile: 0%| | 0/10 [00:00<?, ?it/s]
Updating Z_eff profile: 80%|████████ | 8/10 [00:00<00:00, 71.31it/s]
Updating Z_eff profile: 100%|██████████| 10/10 [00:00<00:00, 71.29it/s]
Assessing convergence: 0%| | 0/10 [00:00<?, ?it/s]
Assessing convergence: 50%|█████ | 5/10 [00:00<00:00, 58743.75it/s]
Calculating reaction rates at profile time points: 0%| | 0/10 [00:00<?, ?it/s]
Calculating reaction rates at profile time points: 100%|██████████| 10/10 [00:00<00:00, 100.53it/s]
Writing rate information to each crossed cell: 0%| | 0/10 [00:00<?, ?it/s]
Writing rate information to each crossed cell: 40%|████ | 4/10 [00:00<00:00, 30.29it/s]
Writing rate information to each crossed cell: 80%|████████ | 8/10 [00:00<00:00, 30.09it/s]
Writing rate information to each crossed cell: 100%|██████████| 10/10 [00:00<00:00, 30.17it/s]
Mapping rates to CXRS timings : 0%| | 0/10 [00:00<?, ?it/s]
Mapping rates to CXRS timings : 100%|██████████| 10/10 [00:00<00:00, 3360.28it/s]
Calculating impurity densities : 0%| | 0/10 [00:00<?, ?it/s]
Calculating impurity densities : 80%|████████ | 8/10 [00:00<00:00, 73.92it/s]
Calculating impurity densities : 100%|██████████| 10/10 [00:00<00:00, 73.91it/s]
Updating Z_eff profile: 0%| | 0/10 [00:00<?, ?it/s]
Updating Z_eff profile: 20%|██ | 2/10 [00:00<00:00, 8.86it/s]
Updating Z_eff profile: 100%|██████████| 10/10 [00:00<00:00, 34.81it/s]
Updating Z_eff profile: 100%|██████████| 10/10 [00:00<00:00, 29.59it/s]
Assessing convergence: 0%| | 0/10 [00:00<?, ?it/s]
Assessing convergence: 100%|██████████| 10/10 [00:00<00:00, 84054.19it/s]
Traceback (most recent call last):
File "/home/Desktop/Code/git/cxrs_fidasim/Examples/Program_runfiles/20221201.033.py", line 37, in <module>
data.run(
File "/home/Desktop/Code/git/cxrs_fidasim/cxrs_eval.py", line 348, in run
self.run_post_methods()
File "/home/Desktop/Code/git/cxrs_fidasim/cxrs_eval.py", line 469, in run_post_methods
_store_grad_length(
File "/home/Desktop/Code/git/cxrs_fidasim/utilities/write_locally.py", line 103, in _store_grad_length
dictionary_added["tau_e"] = _get_energy_confinement_time(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/Desktop/Code/git/cxrs_fidasim/utilities/fetch_data.py", line 293, in _get_energy_confinement_time
w_dia_spline = UnivariateSpline(t_w_dia, w_dia, k=4, s=0)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/anaconda3/lib/python3.11/site-packages/scipy/interpolate/_fitpack2.py", line 236, in __init__
data = dfitpack.fpcurf0(x, y, k, w=w, xb=bbox[0],
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
dfitpack.error: (m>k) failed for hidden m: fpcurf0:m=0
这是完整的控制台，我只对记录包含实际错误的以下部分感兴趣：
Traceback (most recent call last):
File "/home/Desktop/Code/git/cxrs_fidasim/Examples/Program_runfiles/20221201.033.py", line 37, in <module>
data.run(
File "/home/Desktop/Code/git/cxrs_fidasim/cxrs_eval.py", line 348, in run
self.run_post_methods()
File "/home/Desktop/Code/git/cxrs_fidasim/cxrs_eval.py", line 469, in run_post_methods
_store_grad_length(
File "/home/Desktop/Code/git/cxrs_fidasim/utilities/write_locally.py", line 103, in _store_grad_length
dictionary_added["tau_e"] = _get_energy_confinement_time(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/Desktop/Code/git/cxrs_fidasim/utilities/fetch_data.py", line 293, in _get_energy_confinement_time
w_dia_spline = UnivariateSpline(t_w_dia, w_dia, k=4, s=0)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/anaconda3/lib/python3.11/site-packages/scipy/interpolate/_fitpack2.py", line 236, in __init__
data = dfitpack.fpcurf0(x, y, k, w=w, xb=bbox[0],
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
dfitpack.error: (m>k) failed for hidden m: fpcurf0:m=0
我当前的代码由以下
tryexceptfrom subprocess import Popen, PIPE, STDOUT, DEVNULL
logging.basicConfig(filename='error.log', level=logging.ERROR, format='%(asctime)s - %(levelname)s - %(message)s')
try:
# run the file for the shot with error handling
process = Popen(["python", dest_file], stdout=DEVNULL, stderr=PIPE)
# wait while file is running
process.wait()
# get the console error of the subprocess
stderr = process.communicate()[1]
# close all figures and clear console
plt.close()
os.system('clear')
# if we encountered an error raise it
if stderr:
raise Exception(f"n{stderr.decode()}")
# except the raised error and log the error
except Exception as e:
# Log the shot name along with the traceback info
logging.error(f"error processing shot '{shot_name}':", exc_info=True)
如何过滤掉相关部分并记录下来？
鉴于您看起来只对任何 Python 回溯感兴趣，并且可能这将是最后打印的内容，您可以使用
rpartitionTraceback (most recent call last):if stderr:
error = stderr.decode()
error = error.rpartition("Traceback (most recent call last):\n")[-1]
raise Exception(error)