fix(frontend): reset match selection when source changes in Explorer

backend/app/api/v1/models.py

@@ -114,7 +114,7 @@ class SearchRequest(BaseModel):
     )
     embedding_model: str = Field(
         default="text-embedding-3-small",
-        description="Embedding model: text-embedding-ada-002, text-embedding-3-small, text-embedding-3-large",
+        description="Embedding model: text-embedding-3-small",
     )
     top_n: int = Field(default=10, ge=1, le=100, description="Number of results")
     temperature: float = Field(default=0.1, ge=0, le=2, description="LLM temperature")
@@ -141,9 +141,7 @@ def validate_algorithm(cls, v: str) -> str:
     def validate_model(cls, v: str) -> str:
         """Validate embedding model."""
         allowed = [
-            "text-embedding-ada-002",
             "text-embedding-3-small",
-            "text-embedding-3-large",
         ]
         if v not in allowed:
             raise ValueError(f"Model must be one of: {', '.join(allowed)}")

backend/app/domain/entities.py

@@ -123,9 +123,7 @@ class EventDetail:
     count: int
     json_data: str
     summary: str | None = None
-    summary_embedding_ada_002: list[float] | None = None
     summary_embedding_t3_small: list[float] | None = None
-    summary_embedding_t3_large: list[float] | None = None
     summary_embedding_e5: list[float] | None = None
 
     @property

backend/app/repositories/postgres.py

@@ -545,9 +545,7 @@ def search_by_embedding(
         """
         # Map embedding model to column name
         embedding_column_map = {
-            EmbeddingModel.ADA_002: "summary_embedding_ada_002",
             EmbeddingModel.T3_SMALL: "summary_embedding_t3_small",
-            EmbeddingModel.T3_LARGE: "summary_embedding_t3_large",
         }
 
         # Map search algorithm to pgvector operator

backend/app/repositories/sqlserver.py

@@ -560,7 +560,6 @@ def search_by_embedding(
         Note: SQL Server uses VECTOR_DISTANCE function for similarity search.
         """
         embedding_column_map = {
-            EmbeddingModel.ADA_002: "embedding_ada_002",
             EmbeddingModel.T3_SMALL: "embedding_3_small",
         }
 

backend/app/services/ingestion_service.py

@@ -398,9 +398,7 @@ def get_embeddings_status(self, source: str) -> dict[str, Any]:
                 cur.execute(
                     """
                     SELECT COUNT(*),
-                           SUM(CASE WHEN summary_embedding_ada_002 IS NOT NULL THEN 1 ELSE 0 END),
                            SUM(CASE WHEN summary_embedding_t3_small IS NOT NULL THEN 1 ELSE 0 END),
-                           SUM(CASE WHEN summary_embedding_t3_large IS NOT NULL THEN 1 ELSE 0 END),
                            SUM(CASE WHEN embedding_status = 'done' THEN 1 ELSE 0 END),
                            SUM(CASE WHEN embedding_status = 'error' THEN 1 ELSE 0 END),
                            SUM(CASE WHEN embedding_status = 'pending' OR embedding_status IS NULL THEN 1 ELSE 0 END)
@@ -413,21 +411,18 @@ def get_embeddings_status(self, source: str) -> dict[str, Any]:
                     "table": "events_details__quarter_minute",
                     "total_rows": int(row[0] or 0),
                     "coverage": {
-                        "text-embedding-ada-002": int(row[1] or 0),
-                        "text-embedding-3-small": int(row[2] or 0),
-                        "text-embedding-3-large": int(row[3] or 0),
+                        "text-embedding-3-small": int(row[1] or 0),
                     },
                     "status": {
-                        "done": int(row[4] or 0),
-                        "error": int(row[5] or 0),
-                        "pending": int(row[6] or 0),
+                        "done": int(row[2] or 0),
+                        "error": int(row[3] or 0),
+                        "pending": int(row[4] or 0),
                     },
                 }
 
             cur.execute(
                 """
                 SELECT COUNT(*),
-                       SUM(CASE WHEN embedding_ada_002 IS NOT NULL THEN 1 ELSE 0 END),
                        SUM(CASE WHEN embedding_3_small IS NOT NULL THEN 1 ELSE 0 END),
                        SUM(CASE WHEN embedding_status = 'done' THEN 1 ELSE 0 END),
                        SUM(CASE WHEN embedding_status = 'error' THEN 1 ELSE 0 END),
@@ -441,13 +436,12 @@ def get_embeddings_status(self, source: str) -> dict[str, Any]:
                 "table": "events_details__15secs_agg",
                 "total_rows": int(row[0] or 0),
                 "coverage": {
-                    "text-embedding-ada-002": int(row[1] or 0),
-                    "text-embedding-3-small": int(row[2] or 0),
+                    "text-embedding-3-small": int(row[1] or 0),
                 },
                 "status": {
-                    "done": int(row[3] or 0),
-                    "error": int(row[4] or 0),
-                    "pending": int(row[5] or 0),
+                    "done": int(row[2] or 0),
+                    "error": int(row[3] or 0),
+                    "pending": int(row[4] or 0),
                 },
             }
 
@@ -1002,10 +996,10 @@ def _build_aggregations(self, conn, source: str, match_ids: list[int]) -> int:
             cur.execute(
                 f"""
                 INSERT INTO events_details__15secs_agg (
-                    match_id, period, minute, _15secs, count, json_, summary, embedding_3_small, embedding_ada_002
+                    match_id, period, minute, _15secs, count, json_, summary, embedding_3_small
                 )
                 SELECT match_id, ISNULL(period,0), ISNULL(minute,0), (ISNULL(second,0)/15)+1,
-                       COUNT(*), STRING_AGG(CAST(ISNULL(json_, '') AS NVARCHAR(MAX)), ', '), NULL, NULL, NULL
+                       COUNT(*), STRING_AGG(CAST(ISNULL(json_, '') AS NVARCHAR(MAX)), ', '), NULL, NULL
                 FROM events_details
                 WHERE match_id IN ({placeholders})
                 GROUP BY match_id, ISNULL(period,0), ISNULL(minute,0), (ISNULL(second,0)/15)+1
@@ -1017,10 +1011,10 @@ def _build_aggregations(self, conn, source: str, match_ids: list[int]) -> int:
             cur.execute(
                 """
                 INSERT INTO events_details__15secs_agg (
-                    match_id, period, minute, _15secs, count, json_, summary, embedding_3_small, embedding_ada_002
+                    match_id, period, minute, _15secs, count, json_, summary, embedding_3_small
                 )
                 SELECT match_id, ISNULL(period,0), ISNULL(minute,0), (ISNULL(second,0)/15)+1,
-                       COUNT(*), STRING_AGG(CAST(ISNULL(json_, '') AS NVARCHAR(MAX)), ', '), NULL, NULL, NULL
+                       COUNT(*), STRING_AGG(CAST(ISNULL(json_, '') AS NVARCHAR(MAX)), ', '), NULL, NULL
                 FROM events_details
                 GROUP BY match_id, ISNULL(period,0), ISNULL(minute,0), (ISNULL(second,0)/15)+1
                 """
@@ -1041,9 +1035,7 @@ def _update_embeddings_for_row(
         try:
             if source == "postgres":
                 model_cols = {
-                    "text-embedding-ada-002": "summary_embedding_ada_002",
                     "text-embedding-3-small": "summary_embedding_t3_small",
-                    "text-embedding-3-large": "summary_embedding_t3_large",
                 }
                 for model in models:
                     col = model_cols.get(model)
@@ -1062,7 +1054,6 @@ def _update_embeddings_for_row(
                 return
 
             model_cols = {
-                "text-embedding-ada-002": "embedding_ada_002",
                 "text-embedding-3-small": "embedding_3_small",
             }
             for model in models:

backend/tests/api/test_chat.py

@@ -118,12 +118,12 @@ def test_postgres_rejects_deprecated_t3_large(self, client):
         payload = {**VALID_PAYLOAD, "embedding_model": "text-embedding-3-large",
                    "search_algorithm": "cosine"}
         response = client.post("/api/v1/chat/search?source=postgres", json=payload)
-        assert response.status_code == 400
+        assert response.status_code == 422
 
     def test_sqlserver_rejects_deprecated_t3_large(self, client):
         payload = {**VALID_PAYLOAD, "embedding_model": "text-embedding-3-large"}
         response = client.post("/api/v1/chat/search?source=sqlserver", json=payload)
-        assert response.status_code == 400
+        assert response.status_code == 422
 
     def test_postgres_supports_l1_manhattan(self, client):
         payload = {**VALID_PAYLOAD, "search_algorithm": "l1_manhattan"}

backend/tests/api/test_explorer_embeddings.py

@@ -147,7 +147,7 @@ def test_get_tables_info_valid_request_returns_200(self, client, mock_explorer_s
 
     def test_table_info_fields_present(self, client, mock_explorer_svc):
         mock_explorer_svc.get_tables_info.return_value = [
-            {"table": "matches", "row_count": 10, "embedding_columns": ["summary_embedding_ada_002"]},
+            {"table": "matches", "row_count": 10, "embedding_columns": ["summary_embedding_t3_small"]},
         ]
         data = client.get("/api/v1/tables-info").json()
         assert "table" in data[0]

backend/tests/unit/test_dependencies_and_explorer_service.py

@@ -186,7 +186,7 @@ def test_get_tables_info_returns_multiple_tables(self):
         mock_repo = MagicMock(spec=MatchRepository)
         mock_repo.get_tables_info.return_value = [
             {"table": "matches", "row_count": 42, "embedding_columns": []},
-            {"table": "events_details__quarter_minute", "row_count": 1000, "embedding_columns": ["summary_embedding_ada_002"]},
+            {"table": "events_details__quarter_minute", "row_count": 1000, "embedding_columns": ["summary_embedding_t3_small"]},
         ]
 
         svc = DataExplorerService(match_repo=mock_repo)

backend/tests/unit/test_domain.py

@@ -154,7 +154,6 @@ def test_time_description_first_quarter(self):
     def test_optional_embeddings_default_none(self):
         e = self._make_event()
         assert e.summary is None
-        assert e.summary_embedding_ada_002 is None
         assert e.summary_embedding_t3_small is None
 
 
@@ -231,7 +230,7 @@ def test_all_valid_algorithms(self):
             assert r.search_algorithm == algo
 
     def test_all_valid_models(self):
-        for model in ["text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large"]:
+        for model in ["text-embedding-3-small"]:
             r = ApiSearchRequest(match_id=1, query="q", embedding_model=model)
             assert r.embedding_model == model
 

backend/tests/unit/test_postgres_repo.py

@@ -435,7 +435,7 @@ def test_search_by_embedding_returns_results(self, mock_connect):
         req = SearchRequest(
             match_id=3943043,
             query="who scored?",
-            embedding_model=EmbeddingModel.ADA_002,
+            embedding_model=EmbeddingModel.T3_SMALL,
             search_algorithm=SearchAlgorithm.COSINE,
             top_n=3,
         )
@@ -488,8 +488,7 @@ def test_search_by_embedding_empty_rows(self, mock_connect):
 
         assert results == []
 
-    @patch("app.repositories.postgres.psycopg2.connect")
-    def test_search_by_embedding_t3_large(self, mock_connect):
+    def test_search_by_embedding_deprecated_t3_large_raises(self):
         from app.domain.entities import EmbeddingModel, SearchAlgorithm, SearchRequest
 
         req = SearchRequest(
@@ -499,27 +498,9 @@ def test_search_by_embedding_t3_large(self, mock_connect):
             search_algorithm=SearchAlgorithm.INNER_PRODUCT,
             top_n=2,
         )
-        row1 = _event_row()
-        row1["similarity_score"] = 0.05
-        row2 = _event_row()
-        row2["id"] = 1002
-        row2["similarity_score"] = 0.08
-
         repo = PostgresEventRepository()
-        with patch.object(repo, "get_connection") as mock_gc:
-            conn = MagicMock()
-            cursor = MagicMock()
-            cursor.fetchall.return_value = [row1, row2]
-            conn.cursor.return_value.__enter__ = MagicMock(return_value=cursor)
-            conn.cursor.return_value.__exit__ = MagicMock(return_value=False)
-            mock_gc.return_value.__enter__ = MagicMock(return_value=conn)
-            mock_gc.return_value.__exit__ = MagicMock(return_value=False)
-
-            results = repo.search_by_embedding(req, query_embedding=[0.1] * 1536)
-
-        assert len(results) == 2
-        assert results[0].rank == 1
-        assert results[1].rank == 2
+        with pytest.raises(ValueError, match="Unsupported embedding model"):
+            repo.search_by_embedding(req, query_embedding=[0.1] * 1536)
 
     @patch("app.repositories.postgres.psycopg2.connect")
     def test_search_by_embedding_l1_manhattan(self, mock_connect):
@@ -528,7 +509,7 @@ def test_search_by_embedding_l1_manhattan(self, mock_connect):
         req = SearchRequest(
             match_id=1,
             query="test",
-            embedding_model=EmbeddingModel.ADA_002,
+            embedding_model=EmbeddingModel.T3_SMALL,
             search_algorithm=SearchAlgorithm.L1_MANHATTAN,
             top_n=1,
         )
@@ -571,7 +552,7 @@ def test_search_by_embedding_invalid_algorithm_raises(self):
         from app.domain.entities import EmbeddingModel, SearchRequest
 
         req_mock = MagicMock()
-        req_mock.embedding_model = EmbeddingModel.ADA_002
+        req_mock.embedding_model = EmbeddingModel.T3_SMALL
         req_mock.search_algorithm = "bad_algo"
         req_mock.match_id = 1
         req_mock.top_n = 5
@@ -629,7 +610,7 @@ def test_search_by_embedding_propagates_exception(self):
         req = SearchRequest(
             match_id=1,
             query="test",
-            embedding_model=EmbeddingModel.ADA_002,
+            embedding_model=EmbeddingModel.T3_SMALL,
             search_algorithm=SearchAlgorithm.COSINE,
             top_n=5,
         )

backend/tests/unit/test_sqlserver_repo.py

@@ -390,7 +390,7 @@ def test_search_by_embedding_returns_results(self, mock_connect):
         req = SearchRequest(
             match_id=3943043,
             query="who scored?",
-            embedding_model=EmbeddingModel.ADA_002,
+            embedding_model=EmbeddingModel.T3_SMALL,
             search_algorithm=SearchAlgorithm.COSINE,
             top_n=3,
         )
@@ -448,7 +448,7 @@ def test_search_by_embedding_inner_product(self, mock_connect):
         req = SearchRequest(
             match_id=1,
             query="test",
-            embedding_model=EmbeddingModel.ADA_002,
+            embedding_model=EmbeddingModel.T3_SMALL,
             search_algorithm=SearchAlgorithm.INNER_PRODUCT,
             top_n=2,
         )
@@ -491,7 +491,7 @@ def test_search_by_embedding_unsupported_algorithm_raises(self):
         from app.domain.entities import EmbeddingModel, SearchRequest
 
         req_mock = MagicMock()
-        req_mock.embedding_model = EmbeddingModel.ADA_002
+        req_mock.embedding_model = EmbeddingModel.T3_SMALL
         req_mock.search_algorithm = "bad_algo"
         req_mock.match_id = 1
         req_mock.top_n = 5
@@ -564,7 +564,7 @@ def test_search_by_embedding_propagates_exception(self):
         req = SearchRequest(
             match_id=1,
             query="test",
-            embedding_model=EmbeddingModel.ADA_002,
+            embedding_model=EmbeddingModel.T3_SMALL,
             search_algorithm=SearchAlgorithm.COSINE,
             top_n=5,
         )

frontend/webapp/src/pages/ExplorerPage.tsx

@@ -1,4 +1,4 @@
-import { useEffect, useState } from 'react'
+import { useEffect, useMemo, useState } from 'react'
 import { useQuery } from '@tanstack/react-query'
 
 import { api } from '../lib/api/client'
@@ -54,6 +54,11 @@ export function ExplorerPage() {
     enabled: activeTab === 'tables',
   })
 
+  // Reset match selection when source changes
+  useEffect(() => {
+    setSelectedMatchId(null)
+  }, [source])
+
   useEffect(() => {
     if (!matchesQuery.data || matchesQuery.data.length === 0) {
       setSelectedMatchId(null)
@@ -207,33 +212,7 @@ export function ExplorerPage() {
         ) : null}
 
         {activeTab === 'events' ? (
-          <>
-            {selectedMatchId === null ? <p className="text-mute">Selecciona un partido para ver eventos.</p> : null}
-            {eventsQuery.isLoading ? <p className="text-mute">Cargando eventos...</p> : null}
-            {eventsQuery.isError ? <p className="text-rose-300">Error cargando eventos.</p> : null}
-            <div className="overflow-x-auto">
-              <table className="min-w-full divide-y divide-white/10 text-sm">
-                <thead>
-                  <tr className="text-left text-mute">
-                    <th className="px-2 py-2">ID</th>
-                    <th className="px-2 py-2">Time</th>
-                    <th className="px-2 py-2">Count</th>
-                    <th className="px-2 py-2">Summary</th>
-                  </tr>
-                </thead>
-                <tbody className="divide-y divide-white/5">
-                  {(eventsQuery.data ?? []).map((event) => (
-                    <tr key={event.id}>
-                      <td className="px-2 py-2 text-mute">{event.id}</td>
-                      <td className="px-2 py-2 text-mute">{event.time_description}</td>
-                      <td className="px-2 py-2 text-ink">{event.count}</td>
-                      <td className="px-2 py-2 text-ink">{event.summary ?? '-'}</td>
-                    </tr>
-                  ))}
-                </tbody>
-              </table>
-            </div>
-          </>
+          <EventsTab events={eventsQuery.data ?? []} isLoading={eventsQuery.isLoading} isError={eventsQuery.isError} noMatch={selectedMatchId === null} />
         ) : null}
 
         {activeTab === 'tables' ? (

frontend/webapp/tests/e2e/cross-cutting.spec.ts

@@ -21,6 +21,30 @@ test.describe('Cross-cutting', () => {
     await page.screenshot({ path: `${SCREENSHOTS}/source-sqlserver.png`, fullPage: true })
   })
 
+  test('US-23b: source switching updates Tables Info tab', async ({ page }) => {
+    await page.goto('/explorer')
+    await page.waitForLoadState('networkidle')
+
+    // Go to Tables tab on postgres
+    const tablesTab = page.getByRole('button', { name: 'Tables' })
+    await tablesTab.click()
+    await page.waitForLoadState('networkidle')
+    // Postgres has events_details__quarter_minute
+    await expect(page.getByText('events_details__quarter_minute')).toBeVisible({ timeout: 10_000 })
+
+    // Switch to sqlserver
+    const sourceSelect = page.locator('select').filter({ hasText: /PostgreSQL/i }).first()
+    await sourceSelect.selectOption('sqlserver')
+    await page.waitForLoadState('networkidle')
+
+    // Must click Tables tab again after source switch (tab may reset)
+    await tablesTab.click()
+    await page.waitForLoadState('networkidle')
+
+    // SQL Server has events_details__15secs_agg (different name)
+    await expect(page.getByText('events_details__15secs_agg')).toBeVisible({ timeout: 10_000 })
+  })
+
   test('US-24: seed data is available out of the box', async ({ page }) => {
     // Explorer has data
     await page.goto('/explorer')