Estuary metrics graph experiment

estuary-metrics-graph.py

import plotly.express as px
import pandas as pd


def variable_total_retrievals():
    df = pd.DataFrame(columns=['Name', 'Total Retrievals', 'Success Rate', 'Reputation'])
    points = 10_000
    success_rates = 5
    for total_retrievals in range(0, 100_000, 50):
        for i in range(success_rates):
            success_rate = (i+1)/success_rates
            successful = success_rate*total_retrievals
            metric1 = (total_retrievals + successful)*success_rate
            new_row = [f"t*success_rate^2 {success_rate}%", total_retrievals, success_rate, metric1]
            df.loc[len(df)] = new_row

        print(total_retrievals)

    return px.line(df, x="Total Retrievals", y="Reputation", color="Name", title="Retrieval Metrics")


def variable_success_rate():
    df = pd.DataFrame(columns=['Name', 'Success Rate', 'Reputation'])
    points = 10_000
    total_retrievals = 10_000
    for i in range(1000):
        success_rate = i/1000
        successful = total_retrievals*success_rate
        metric1 = (total_retrievals+successful)*success_rate
        new_row = ["(t+sucessful)*success_rate", success_rate, metric1]

        metric2 = successful
        new_row2 = ["successful", success_rate, metric2]

        df.loc[len(df)] = new_row
        df.loc[len(df)] = new_row2

        print(success_rate)

    return px.line(df, x="Success Rate", y="Reputation", color="Name", title="Retrieval Metrics")


# fig = variable_success_rate()
fig = variable_total_retrievals()

fig.show()