638d5b70b4
Enhance OPC UA communication and metrics tracking - Updated README.md to include new OPC UA Communication section and detailed metrics for session and write diagnostics. - Added new metrics in laborious/metrics.py for tracking OPC UA session states and write attempts. - Refactored OPC activity in laborious/activities/opc.py to handle session errors and improve error reporting. - Updated e2e tests to cover new scenarios for OPC session/channel errors and reconnect handling. - Modified .gitignore to include relatorio files and mlruns directory. - Added ipykernel to requirements-dev.txt for Jupyter notebook support.
26 lines
499 B
Python
26 lines
499 B
Python
# %%
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# Load logs.txt
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with open('logs.txt', 'r') as file:
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lines = file.readlines()
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# %%
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import re
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# Grep "inter-arrival_s=number" with regex
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intervals = []
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for line in lines:
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match = re.search(r'inter-arrival_s=([0-9.]+)', line)
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if match:
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intervals.append(float(match.group(1)))
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# %%
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print(intervals)
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# %%
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import matplotlib.pyplot as plt
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plt.plot(intervals)
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plt.ylabel('Inter-arrival time (s)')
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plt.xlabel('Sample')
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plt.title('Inter-arrival time distribution')
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plt.show()
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# %%
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