Add a streamlit interface to Wizard for anomaly detection

[larsyencken]

Rough proposal

• In the Wizard, there is a page for anomaly detection
• The page should present you with a list of all changed grapher indicators
  • It should read from local disk what indicators are upgrades of other indicators
  • You may optionally ask about any arbitrary ETL path for a grapher indicator
• You click "Detect all anomalies"
• It begins fetches data from the S3 API and finds things whilst you wait
  • It should be interactive speed, i.e. take less than one minute
  • If an indicator is an upgrade, it also detects within the context of the previous indicator
  • (optional) It would be dreamy if they appear one by one whilst you wait
• The anomaly detector tries to return only the few "most important" anomalies
• It stores them in some YAML file or SQLite DB; they're still there if you come back later
• It provides a one-click link for any anomaly that takes you to the indicator (either in a chart, or in the admin)
• There is a button to regenerate them all
• There is a button to delete them all
• They are ephemeral: when you merge your branch, and your staging server dies, they disappear
  • But you can still manually add something important to "What you should know about this indicator" for its data page

[lucasrodes]

Streamlit app is stable and working. Needs some more testing, to ensure it works as expected.

We plan to dark-launch it and try it in various PRs.

[lucasrodes]

Some things that we may add in the future:

• Hiding anomalies
  • Each anomaly would have a button "hide anomaly" so that this anomaly is no longer shown
  • This should be done in sync with the filter-panel. A possible solution here is to add a new section to the filter pane which works as a st.popover. (idea below)
    
• AI summary
  • Optimise how we handle the summaries to avoid unnecessary GPT calls.
• Checksum detection
  • We should be able to infer if the anomalies in cache are out of sync (maybe using dataset checksums?)