tabs/agent_graphs.py

import pandas as pd
import gradio as gr
import gc
import plotly.express as px


def plot_rolling_average_dune(
    daa_df: pd.DataFrame,
) -> gr.Plot:
    """Function to plot the rolling average of daily active agents"""

    fig = px.bar(
        daa_df,
        x="tx_date",
        y="seven_day_trailing_avg",
    )
    fig.update_layout(
        xaxis_title="Date",
        yaxis_title="7-day rolling average of DAA",
    )

    return gr.Plot(
        value=fig,
    )


def plot_rolling_average_roi(two_weeks_avg_roi_pearl_agents: pd.DataFrame) -> gr.Plot:
    """Function to plot the 2-weeks rolling average ROI for pearl agents"""

    print("Rolling average ROI DataFrame:")
    print(two_weeks_avg_roi_pearl_agents.head())

    fig2 = px.line(
        two_weeks_avg_roi_pearl_agents,
        x="creation_date",
        y="two_weeks_avg_roi",
        color_discrete_sequence=["#9C27B0"],
    )
    fig2.update_layout(
        xaxis_title="Week",
        yaxis_title="2-week rolling average ROI of pearl agents",
    )

    return gr.Plot(
        value=fig2,
    )


def plot_weekly_average_roi(weekly_avg_roi_df: pd.DataFrame) -> gr.Plot:
    """Function to plot the weekly average of ROI for pearl agents"""

    print("Weekly average ROI DataFrame:")
    print(weekly_avg_roi_df.head())

    # Update the plot to use the correct column name 'weekly_avg_roi'
    fig = px.line(
        weekly_avg_roi_df,
        x="week_start",
        y="avg_weekly_roi",  # Changed from 'roi' to 'weekly_avg_roi'
    )
    fig.update_layout(
        xaxis_title="Week",
        yaxis_title="Weekly average ROI for pearl agents",
    )
    return gr.Plot(
        value=fig,
    )