feat(amber): add models to the hub and unified search

[tanishqgandhi1908]

What changes were proposed in this PR?

Models had metadata and access APIs but no discovery: they were missing from the hub's
counts, likes, views, tops and user-access endpoints, and from unified search.

• Schema: model_user_likes, model_view_count, and model added to the PGroonga block.
  texera_ddl.sql builds that index only for a fresh database, so 42.sql creates it as
  well — closing for models the gap datasets still have on migrated databases.
• EntityType.Model plus one EntityTables registry entry wires up every hub endpoint.
• VersionedResourceTables.ModelTables and ModelSearchQueryBuilder add search. The
  builder is a projection only; framework and format are the sole new union slots, and
  the rest are shared with the other versioned resources.
• DashboardResource gains the model entry slot, a modelId filter, the query and
  toEntry cases, and models in hasMismatch. getTops needed no change — the descriptor
  path picks models up on its own.

Model search matches on name and description, so the indexed expression is identical to the
predicate the builder renders; framework and format are projected for display, not
indexed.

Any related issues, documentation, discussions?

Part of #6501 (umbrella #6494). Builds on #7928, and takes migration 42 because #6872 and
#7922 hold 41 — their commits show in the diff until they merge.

How was this PR tested?

WorkflowExecutionService/testOnly *dashboard* — 498/498 across 27 suites, 31 of them new:
a ModelSearchQueryBuilderSpec pinning the projection, access scoping and id filter; model
cases in VersionedResourceTablesSpec, EntityTablesSpec, EntityTypeSpec and
HubEntityModelSpec; and hub coverage in HubResourceSpec for likes, unlikes, view counts,
getCounts, getTops and user-access, including id collisions across all three entity
types. 42.sql was applied twice against a local Postgres for idempotence, and
idx_model_pgroonga renders the same shape as idx_dataset_pgroonga.

Was this PR authored or co-authored using generative AI tooling?

Generated-by: Claude Code (Claude Opus 5)

[github-actions]

Automated Reviewer Suggestions

Based on the git blame history of the changed files, we recommend the following reviewers:

• Contributors with relevant context: @Neilk1021, @Yicong-Huang
  You can notify them by mentioning @Neilk1021, @Yicong-Huang in a comment.

[codecov-commenter]

Codecov Report

❌ Patch coverage is 88.09524% with 10 lines in your changes missing coverage. Please review.
✅ Project coverage is 93.23%. Comparing base (444fc58) to head (bd1f962).
✅ All tests successful. No failed tests found.

Files with missing lines	Patch %	Lines
...era/web/resource/dashboard/DashboardResource.scala	55.55%	1 Missing and 3 partials ⚠️
...b/resource/dashboard/VersionedResourceTables.scala	88.88%	2 Missing ⚠️
.../resource/dashboard/user/model/ModelResource.scala	71.42%	2 Missing ⚠️
...b/resource/dashboard/ModelSearchQueryBuilder.scala	94.11%	1 Missing ⚠️
...xera/web/resource/dashboard/hub/EntityTables.scala	95.83%	0 Missing and 1 partial ⚠️

Additional details and impacted files

@@             Coverage Diff              @@
##               main    #7930      +/-   ##
============================================
- Coverage     93.24%   93.23%   -0.02%     
+ Complexity     4677     4674       -3     
============================================
  Files          1177     1179       +2     
  Lines         47685    47763      +78     
  Branches       5312     5317       +5     
============================================
+ Hits          44466    44531      +65     
- Misses         1743     1751       +8     
- Partials       1476     1481       +5     

Flag	Coverage Δ		*Carryforward flag
access-control-service	81.00% <ø> (ø)
agent-service	99.32% <ø> (ø)		Carriedforward from 444fc58
amber	89.38% <88.09%> (-0.03%)	⬇️
computing-unit-managing-service	73.67% <ø> (ø)
config-service	86.73% <ø> (ø)
file-service	86.70% <ø> (ø)
frontend	95.67% <ø> (-0.01%)	⬇️	Carriedforward from 444fc58
notebook-migration-service	79.31% <ø> (ø)
pyamber	97.78% <ø> (ø)		Carriedforward from 444fc58
workflow-compiling-service	77.19% <ø> (ø)

*This pull request uses carry forward flags. Click here to find out more.

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[github-actions]

⚠️ Benchmark changes need a look

🟢 0 better · 🔴 10 worse · ⚪ 5 noise (<±5%) · 0 without baseline

Compared against main 444fc58 benchmarked on this same runner, so the delta is largely free of cross-runner hardware noise. The "7d avg" column still reflects the gh-pages dashboard. Treat <±5% as noise unless repeated.

Dashboard · Run

	config	throughput	MB/s	latency	max Δ latest / 7d
🔴	bs=10 sw=10 sl=64	414	0.253	22,482/36,755/36,755 us	🔴 +21.1% / 🔴 +165.5%
🔴	bs=100 sw=10 sl=64	912	0.556	106,753/132,312/132,312 us	🔴 +11.3% / 🔴 +41.2%
⚪	bs=1000 sw=10 sl=64	1,108	0.676	910,543/937,527/937,527 us	⚪ within ±5% / 🔴 -7.6%

Baseline details

Latest main 444fc58 from same runner

config	metric	PR	latest main	7d avg	Δ latest	Δ 7d
bs=10 sw=10 sl=64	throughput	414 tuples/sec	466 tuples/sec	894.86 tuples/sec	-11.2%	-53.7%
bs=10 sw=10 sl=64	MB/s	0.253 MB/s	0.284 MB/s	0.546 MB/s	-10.9%	-53.7%
bs=10 sw=10 sl=64	p50	22,482 us	18,560 us	11,139 us	+21.1%	+101.8%
bs=10 sw=10 sl=64	p95	36,755 us	33,738 us	13,843 us	+8.9%	+165.5%
bs=10 sw=10 sl=64	p99	36,755 us	33,738 us	16,839 us	+8.9%	+118.3%
bs=100 sw=10 sl=64	throughput	912 tuples/sec	973 tuples/sec	1,166 tuples/sec	-6.3%	-21.8%
bs=100 sw=10 sl=64	MB/s	0.556 MB/s	0.594 MB/s	0.711 MB/s	-6.4%	-21.8%
bs=100 sw=10 sl=64	p50	106,753 us	100,445 us	87,509 us	+6.3%	+22.0%
bs=100 sw=10 sl=64	p95	132,312 us	118,829 us	93,675 us	+11.3%	+41.2%
bs=100 sw=10 sl=64	p99	132,312 us	118,829 us	102,153 us	+11.3%	+29.5%
bs=1000 sw=10 sl=64	throughput	1,108 tuples/sec	1,104 tuples/sec	1,198 tuples/sec	+0.4%	-7.5%
bs=1000 sw=10 sl=64	MB/s	0.676 MB/s	0.674 MB/s	0.731 MB/s	+0.3%	-7.6%
bs=1000 sw=10 sl=64	p50	910,543 us	905,689 us	859,766 us	+0.5%	+5.9%
bs=1000 sw=10 sl=64	p95	937,527 us	969,921 us	902,897 us	-3.3%	+3.8%
bs=1000 sw=10 sl=64	p99	937,527 us	969,921 us	937,957 us	-3.3%	-0.0%

Raw CSV

config_idx,batch_size,schema_width,string_len,num_batches,total_ms,total_tuples,total_bytes,tuples_per_sec,mb_per_sec,lat_p50_us,lat_p95_us,lat_p99_us
0,10,10,64,20,482.59,200,128000,414,0.253,22481.53,36755.07,36755.07
1,100,10,64,20,2194.10,2000,1280000,912,0.556,106753.09,132312.44,132312.44
2,1000,10,64,20,18051.19,20000,12800000,1108,0.676,910542.52,937526.96,937526.96

[tanishqgandhi1908]

/request-review @aicam

[aicam]

This PR enables search for models and cause global search also show models. Although we don't have models but to prevent unexpected behavior, lets merge this after frontend fully merged.