chore(command): Organize Commands according to SIP-92

[john-bodley]

SUMMARY

This PR is one of many to related to SIP-92 Proposal for restructuring the Python code base. Specifically it organizes all the Commands under the superset/commands subfolder. The naming convention adheres to #24331, though upon further inspection thedaos/annotation.py file was renamed to daos/annotation_layer.py given that Annotation Layer is actually the umbrella construct.

BEFORE/AFTER SCREENSHOTS OR ANIMATED GIF

TESTING INSTRUCTIONS

CI.

ADDITIONAL INFORMATION

• Has associated issue: [SIP-92] Proposal for restructuring the Python code base #20630
• 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

[codecov]

Codecov Report

Attention: 13 lines in your changes are missing coverage. Please review.

Comparison is base (6359086) 58.92% compared to head (775da08) 69.09%.
Report is 3 commits behind head on master.

Files	Patch %	Lines
superset/commands/importers/v1/examples.py	0.00%	11 Missing ⚠️
superset/cli/importexport.py	85.71%	1 Missing ⚠️
superset/common/query_context_processor.py	50.00%	1 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##           master   #25850       +/-   ##
===========================================
+ Coverage   58.92%   69.09%   +10.17%     
===========================================
  Files        1940     1940               
  Lines       75867    75867               
  Branches     8444     8444               
===========================================
+ Hits        44706    52423     +7717     
+ Misses      28985    21268     -7717     
  Partials     2176     2176               

Flag	Coverage Δ
hive	53.68% <93.90%> (ø)
mysql	78.16% <97.26%> (?)
postgres	78.25% <97.26%> (?)
presto	53.63% <93.90%> (ø)
python	82.95% <97.26%> (+21.15%)	⬆️
sqlite	76.91% <97.26%> (?)
unit	55.79% <91.38%> (ø)

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[michael-s-molina]

LGTM