Issue #749 - Use streamlit to display graphs in sim plotter

.gitignore

@@ -174,6 +174,9 @@ csvs/
 parquet_data/
 pdr_predictions.parquet 
 
+# sim state
+sim_state/*.pkl
+
 # pdr_backend accuracy output
 pdr_backend/accuracy/output/*.json
 

READMEs/trader.md

@@ -73,7 +73,6 @@ What it does:
    - Build a model
    - Predict
    - Trade
-   - Plot profit versus time, more
    - Log to console and `logs/out_<time>.txt`
 
 "Predict" actions are _two-sided_: it does one "up" prediction tx, and one "down" tx, with more stake to the higher-confidence direction. Two-sided is more profitable than one-sided prediction.
@@ -86,6 +85,8 @@ To see simulation CLI options: `pdr sim -h`.
 
 Simulation uses Python [logging](https://docs.python.org/3/howto/logging.html) framework. Configure it via [`logging.yaml`](../logging.yaml). [Here's](https://medium.com/@cyberdud3/a-step-by-step-guide-to-configuring-python-logging-with-yaml-files-914baea5a0e5) a tutorial on yaml settings.
 
+Plot profit versus time, more: use `streamlit run sim_plots.py` to display real-time plots of the simulation while it is running. After the final iteration, the app settles into an overview of the final state.
+
 ## Run Trader Bot on Sapphire Testnet
 
 Predictoor contracts run on [Oasis Sapphire](https://docs.oasis.io/dapp/sapphire/) testnet and mainnet. Sapphire is a privacy-preserving EVM-compatible L1 chain.

mypy.ini

@@ -44,6 +44,9 @@ ignore_missing_imports = True
 [mypy-pdr_backend.predictoor.examples.*]
 ignore_missing_imports = True
 
+[mypy-plotly.*]
+ignore_missing_imports = True
+
 [mypy-polars.*]
 ignore_missing_imports = True
 
@@ -72,4 +75,4 @@ ignore_missing_imports = True
 ignore_missing_imports = True
 
 [mypy-solcx.*]
-ignore_missing_imports = True
+ignore_missing_imports = True