Skip predictions in reports if prediction package is missing.

[stkerr]

Description

This PR does two main changes:

• It adds logic to detect if the prediction package is installed and skips all predictions steps if it is not.
• It explicitly opens the report file as UTF-8, which helps with OS like Windows.

This enables the report to still be generated and used, even if no prediction capabilities are present.

How has this been tested?

I set up a local build with no prediction packages installed and with the feature flag disabled. I then ran the report with reports/equity TSLA and several other tickers. I confirmed that the reports generated successfully and that the prediction tab had a message about the prediction capabilities being missing.

Checklist:

• Update our Hugo documentation following these guidelines.
• Update our tests following these guidelines.
• Make sure you are following our CONTRIBUTING guidelines.
• If a feature was added make sure to add it to the corresponding scripts file.

Others

• I have performed a self-review of my own code.
• I have commented my code, particularly in hard-to-understand areas.
• My code passes all the checks pylint, flake8, black, ... To speed up development you should run pre-commit install.
• New and existing unit tests pass locally with my changes. You can test this locally using pytest tests/....

[stkerr]

@jmaslek following up to the bug I opened yesterday - this PR adds logic to check if the prediction module is present and disables the steps that need it if it is not present.

Can you review this PR? Thanks!

[jmaslek]

@jmaslek following up to the bug I opened yesterday - this PR adds logic to check if the prediction module is present and disables the steps that need it if it is not present.

Can you review this PR? Thanks!

Thanks @stkerr! Great catch here. I tested it and the console.print doesn't print to the terminal (which presumably makes sense since its through paper mill). But the report runs without TF installed, so this bug is squashed.

@martinb-bb and @piiq : we should improve the pred api so that certain models are still available in certain cases. For example, the mc techniques are just numpy arrays so it should be usable even if tf is not installed.

[martinb-ai]

That's a great idea @jmaslek! Will look into this.