feat: add Databricks metric views semantic layer extension

[drummerwolli]

Add a Superset extension (.supx) for Databricks Unity Catalog metric views as a semantic layer type. Includes:

• Databricks metric views extension (layer, view, client, schemas)
• Fix InMemoryFinder publisher prefix alias registration
• Fix KeyError when filter has no val key in semantic layer mapper
• Fix TEMPORAL_RANGE filter resolution for human-readable values (e.g. Last week)
• Fix time_grain_sqla None crash in mapper

SUMMARY

BEFORE/AFTER SCREENSHOTS OR ANIMATED GIF

TESTING INSTRUCTIONS

ADDITIONAL INFORMATION

• Has associated issue:
• Required feature flags:
• Changes UI
• Includes DB Migration (follow approval process in SIP-59)
  • Migration is atomic, supports rollback & is backwards-compatible
  • Confirm DB migration upgrade and downgrade tested
  • Runtime estimates and downtime expectations provided
• Introduces new feature or API
• Removes existing feature or API

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[codecov]

Codecov Report

❌ Patch coverage is 3.57143% with 27 lines in your changes missing coverage. Please review.
✅ Project coverage is 63.22%. Comparing base (aa98f34) to head (4777f84).

Files with missing lines	Patch %	Lines
superset/semantic_layers/mapper.py	5.88%	16 Missing ⚠️
superset/extensions/utils.py	0.00%	11 Missing ⚠️

Additional details and impacted files

@@                            Coverage Diff                             @@
##           semantic-layer-rename-database-dataset   #39366      +/-   ##
==========================================================================
- Coverage                                   64.61%   63.22%   -1.40%     
==========================================================================
  Files                                        1822     2544     +722     
  Lines                                       72962   130725   +57763     
  Branches                                    23236    30037    +6801     
==========================================================================
+ Hits                                        47148    82645   +35497     
- Misses                                      25814    46625   +20811     
- Partials                                        0     1455    +1455     

Flag	Coverage Δ
hive	40.38% <3.57%> (?)
mysql	61.10% <3.57%> (?)
postgres	61.16% <3.57%> (?)
presto	40.40% <3.57%> (?)
python	61.42% <3.57%> (?)
sqlite	60.80% <3.57%> (?)

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