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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_tool_winning_rate(tools_df: pd.DataFrame, inc_tools: List[str]) -> pd.DataFrame: | |
| """Gets the tool winning rate data for the given tools and calculates the winning percentage.""" | |
| tools_inc = tools_df[tools_df['tool'].isin(inc_tools)].copy() | |
| tools_inc['error'] = tools_inc.apply(set_error, axis=1) | |
| tools_non_error = tools_inc[tools_inc['error'] != True] | |
| tools_non_error.loc[:, 'currentAnswer'] = tools_non_error['currentAnswer'].replace({'no': 'No', 'yes': 'Yes'}) | |
| tools_non_error = tools_non_error[tools_non_error['currentAnswer'].isin(['Yes', 'No'])] | |
| tools_non_error = tools_non_error[tools_non_error['vote'].isin(['Yes', 'No'])] | |
| tools_non_error['win'] = (tools_non_error['currentAnswer'] == tools_non_error['vote']).astype(int) | |
| tools_non_error.columns = tools_non_error.columns.astype(str) | |
| wins = tools_non_error.groupby(['tool', 'request_month_year_week', 'win']).size().unstack().fillna(0) | |
| wins['win_perc'] = (wins[1] / (wins[0] + wins[1])) * 100 | |
| wins.reset_index(inplace=True) | |
| wins['total_request'] = wins[0] + wins[1] | |
| wins.columns = wins.columns.astype(str) | |
| # Convert request_month_year_week to string and explicitly set type for Altair | |
| wins['request_month_year_week'] = wins['request_month_year_week'].astype(str) | |
| return wins | |
| def get_overall_winning_rate(wins_df: pd.DataFrame) -> pd.DataFrame: | |
| """Gets the overall winning rate data for the given tools and calculates the winning percentage.""" | |
| overall_wins = wins_df.groupby('request_month_year_week').agg({ | |
| "0": 'sum', | |
| "1": 'sum', | |
| "win_perc": 'mean', | |
| "total_request": 'sum' | |
| }).rename(columns={"0": 'losses', "1": 'wins'}).reset_index() | |
| return overall_wins | |
| def plot_tool_winnings_overall(wins_df: pd.DataFrame, winning_selector: str = "win_perc") -> gr.BarPlot: | |
| """Plots the overall winning rate data for the given tools and calculates the winning percentage.""" | |
| return gr.BarPlot( | |
| title="Winning Rate", | |
| x_title="Date", | |
| y_title=winning_selector, | |
| show_label=True, | |
| interactive=True, | |
| show_actions_button=True, | |
| tooltip=["request_month_year_week", winning_selector], | |
| value=wins_df, | |
| x="request_month_year_week", | |
| y=winning_selector, | |
| height=HEIGHT, | |
| width=WIDTH | |
| ) | |
| def plot_tool_winnings_by_tool(wins_df: pd.DataFrame, tool: str) -> gr.BarPlot: | |
| """Plots the winning rate data for the given tool.""" | |
| return gr.BarPlot( | |
| title="Winning Rate", | |
| x_title="Week", | |
| y_title="Winning Rate", | |
| x="request_month_year_week", | |
| y="win_perc", | |
| value=wins_df[wins_df['tool'] == tool], | |
| show_label=True, | |
| interactive=True, | |
| show_actions_button=True, | |
| tooltip=["request_month_year_week", "win_perc"], | |
| height=HEIGHT, | |
| width=WIDTH | |
| ) |