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import pandas as pd
import gradio as gr
from typing import List
HEIGHT=600
WIDTH=1000
def set_error(row: pd.Series) -> bool:
"""Sets the error for the given row."""
if row.error not in [True, False]:
if not row.prompt_response:
return True
return False
return row.error
def get_error_data(tools_df: pd.DataFrame, inc_tools: List[str]) -> pd.DataFrame:
"""Gets the error data for the given tools and calculates the error percentage."""
tools_inc = tools_df[tools_df['tool'].isin(inc_tools)].copy()
tools_inc['error'] = tools_inc.apply(set_error, axis=1)
error = tools_inc.groupby(['tool', 'request_month_year_week', 'error']).size().unstack().fillna(0).reset_index()
error['error_perc'] = (error[True] / (error[False] + error[True])) * 100
error['total_requests'] = error[False] + error[True]
return error
def get_error_data_overall(error_df: pd.DataFrame) -> pd.DataFrame:
"""Gets the error data for the given tools and calculates the error percentage."""
error_total = error_df.groupby('request_month_year_week').agg({'total_requests': 'sum', False: 'sum', True: 'sum'}).reset_index()
error_total['error_perc'] = (error_total[True] / error_total['total_requests']) * 100
error_total.columns = error_total.columns.astype(str)
error_total['error_perc'] = error_total['error_perc'].apply(lambda x: round(x, 4))
return error_total
def plot_error_data(error_all_df: pd.DataFrame) -> gr.BarPlot:
"""Plots the error data for the given tools and calculates the error percentage."""
return gr.BarPlot(
value=error_all_df,
x="request_month_year_week",
y="error_perc",
title="Error Percentage",
x_title="Week",
y_title="Error Percentage",
show_label=True,
interactive=True,
show_actions_button=True,
tooltip=["request_month_year_week", "error_perc"],
height=HEIGHT,
width=WIDTH
)
def plot_tool_error_data(error_df: pd.DataFrame, tool: str) -> gr.BarPlot:
"""Plots the error data for the given tool."""
error_tool = error_df[error_df['tool'] == tool].copy()
error_tool.columns = error_tool.columns.astype(str)
error_tool['error_perc'] = error_tool['error_perc'].apply(lambda x: round(x, 4))
return gr.BarPlot(
title="Error Percentage",
x_title="Week",
y_title="Error Percentage",
show_label=True,
interactive=True,
show_actions_button=True,
tooltip=["request_month_year_week", "error_perc"],
value=error_tool,
x="request_month_year_week",
y="error_perc",
height=HEIGHT,
width=WIDTH
)
def plot_week_error_data(error_df: pd.DataFrame, week: str) -> gr.BarPlot:
"""Plots the error data for the given week."""
error_week = error_df[error_df['request_month_year_week'] == week].copy()
error_week.columns = error_week.columns.astype(str)
error_week['error_perc'] = error_week['error_perc'].apply(lambda x: round(x, 4))
return gr.BarPlot(
value=error_week,
x="tool",
y="error_perc",
title="Error Percentage",
x_title="Tool",
y_title="Error Percentage",
show_label=True,
interactive=True,
show_actions_button=True,
tooltip=["tool", "error_perc"],
height=HEIGHT,
width=WIDTH
) |