[Analytics] Create plot_predictoor_income.py

[KatunaNorbert]

Motivation

We want to build the first plot w/ silver_pdr_predictions table.
It will then be implemented in the FE as a separate task.
The goal here is to simply serve the data from the lake, to the dashboard with very few calculations.

DoD

• Review Calina's PR for streamlit, and replicate the cli + streamlit_entrypoint, such that it's easy for you to get the same streamlit environment going.
• Look at Calina's changes for SimPlotter.__init__() such that you understand how to setup the sim_plotter page, how to setup columns, contianers, and how to initialize plots. Please note my comments.
• Create your own PredictoorIncomePlotter class, and implement plots that use data from silver_pdr_predictions table to visualize all data.
• create plot_predictoor_income.py and render a simple plot that exemplifies the Predictoor Income chart
• create test to show that plot_predictoor_income is created properly
• plot should support multiple user addresses (user_ids), and feeds (contract_ids) that sum/show the total.
• tests should cover both single and multiple addresses as a filter
• tests should cover both single and multiple feeds as a filter
• verify that basic plot is rendering as expected, showing: net_income, stake_income, df_income

[idiom-bytes]

This was "completed" on the streamlit side, albeit with many bugs.

I have tracked this deliverable as outstanding in #1299 and will be closing this ticket