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from datetime import datetime
import matplotlib.pyplot as plt
import pandas as pd
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
log_files = [
'call_history_sentiment_1_bash.csv',
'call_history_text2int_1_bash.csv',
]
for log_file in log_files:
path_ = f"./data/{log_file}"
df = pd.read_csv(filepath_or_buffer=path_, sep=";")
df["elapsed"] = df["finished"].apply(lambda x: datetime.strptime(x, "%Y-%m-%d %H:%M:%S.%f")) - df["started"].apply(
lambda x: datetime.strptime(x, "%Y-%m-%d %H:%M:%S.%f"))
df["elapsed"] = df["elapsed"].apply(lambda x: x.total_seconds())
df["success"] = df["outputs"].apply(lambda x: 0 if "Time-out" in x else 1)
df.to_csv(f"./data/processed_{log_file}", index=False, sep=";")
student_numbers = sorted(df['active_students'].unique())
result = df.groupby(['active_students', 'success']) \
.agg({
'elapsed': ['mean', 'median', 'min', 'max'],
'success': ['count'],
})
print(f"Results for {log_file}")
print(result, "\n")
title = None
if "sentiment" in log_file.lower():
title = "API result for 'sentiment-analysis' endpoint"
elif "text2int" in log_file.lower():
title = "API result for 'text2int' endpoint"
for student_number in student_numbers:
try:
failed_calls = result.loc[(student_number, 0), 'success'][0]
except:
failed_calls = 0
successful_calls = result.loc[(student_number, 1), 'success'][0]
percentage = (successful_calls / (failed_calls + successful_calls)) * 100
print(f"Percentage of successful API calls for {student_number} students: {percentage.__round__(2)}")
rows = len(student_numbers)
# plt.figure(figsize=(16, 10))
# for index, student_number in enumerate(student_numbers, 1):
# data = df[df["active_students"] == student_number]
# fig = plt.subplot(rows, 2, 2 * index - 1)
# plt.title("y=seconds, x=active students", x=0.75, y=0.75)
# plt.boxplot(x=data["elapsed"], labels=[student_number])
# plt.subplot(rows, 2, 2 * index)
# plt.title("y=count of seconds, x=seconds", x=0.75, y=0.75)
# plt.hist(x=data["elapsed"], bins=25, edgecolor='white')
fig, axs = plt.subplots(rows, 2) # (rows, columns)
for index, student_number in enumerate(student_numbers):
data = df[df["active_students"] == student_number]
axs[index][0].boxplot(x=data["elapsed"]) # axs[row][column]
# axs[index][0].set_title(f'Boxplot for {student_number} students')
axs[index][0].set_xlabel(f'student number {student_number}')
axs[index][0].set_ylabel('Elapsed time (s)')
axs[index][1].hist(x=data["elapsed"], bins=25) # axs[row][column]
# axs[index][1].set_title(f'Histogram for {student_number} students')
axs[index][1].set_xlabel('seconds')
axs[index][1].set_ylabel('Count of API calls')
fig.suptitle(title, fontsize=16)
plt.show()
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