Add cursor-based pagination to GET /analyze/batch and update /jobs defaults

Add a new GET /analyze/batch endpoint that returns stored analysis results
with cursor-based pagination (default limit 50, max 200). Also update the
existing /jobs endpoint defaults from limit=10/max=100 to limit=50/max=200
for consistency.

The database layer gains a list_analyses() method with cursor support using
(timestamp, id) ordering, matching the existing list_jobs() pattern.

Includes tests for pagination behavior, boundary limits, cursor forwarding,
company name filtering, and empty result sets.

Closes leeworks-agents/SPARC#1669

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

SPARC/api.py

@@ -96,6 +96,24 @@ class JobStatus(BaseModel):
     error: str | None = None
 
 
+class AnalysisRecord(BaseModel):
+    """A single stored analysis result."""
+
+    id: int
+    company_name: str | None = None
+    analysis_type: str | None = None
+    model: str | None = None
+    response: str | None = None
+    timestamp: datetime | None = None
+
+
+class PaginatedAnalysisResponse(BaseModel):
+    """Paginated response for analysis result listings."""
+
+    items: list[AnalysisRecord]
+    next_cursor: str | None = None
+
+
 class PaginatedJobsResponse(BaseModel):
     """Paginated response for job listings."""
 
@@ -872,6 +890,58 @@ async def analyze_single_patent(
         raise HTTPException(status_code=404, detail=str(e))
 
 
+@app.get(
+    "/analyze/batch",
+    response_model=PaginatedAnalysisResponse,
+    tags=["Analysis"],
+)
+async def list_analysis_results(
+    company_name: Annotated[
+        str | None,
+        Query(description="Filter results by company name"),
+    ] = None,
+    limit: Annotated[int, Query(ge=1, le=200)] = 50,
+    cursor: Annotated[
+        str | None,
+        Query(description="Opaque cursor from a previous response's next_cursor field"),
+    ] = None,
+    _: UserResponse = Depends(get_current_user),
+):
+    """List stored analysis results with cursor-based pagination.
+
+    Returns past analysis results ordered by timestamp descending. Use
+    ``limit`` to control page size (default 50, max 200). The response
+    includes a ``next_cursor`` field; pass it back as the ``cursor`` query
+    parameter to fetch the next page. When ``next_cursor`` is ``null``,
+    there are no more results.
+
+    Args:
+        company_name: Optional filter by company name
+        limit: Maximum number of results to return (default 50, max 200)
+        cursor: Opaque pagination cursor from a previous response
+
+    Returns:
+        Paginated list of analysis results
+    """
+    db = _get_job_db()
+    rows = db.list_analyses(company_name=company_name, limit=limit + 1, cursor=cursor)
+
+    has_next = len(rows) > limit
+    if has_next:
+        rows = rows[:limit]
+
+    items = [AnalysisRecord(**row) for row in rows]
+
+    next_cursor = None
+    if has_next and rows:
+        last = rows[-1]
+        ts = last["timestamp"]
+        ts_str = ts.isoformat() if hasattr(ts, "isoformat") else str(ts)
+        next_cursor = f"{ts_str}|{last['id']}"
+
+    return PaginatedAnalysisResponse(items=items, next_cursor=next_cursor)
+
+
 @app.post(
     "/analyze/batch",
     response_model=BatchAnalysisResponse,
@@ -1047,7 +1117,7 @@ async def list_jobs(
         str | None,
         Query(description="Filter by status: pending, running, completed, failed"),
     ] = None,
-    limit: Annotated[int, Query(ge=1, le=100)] = 10,
+    limit: Annotated[int, Query(ge=1, le=200)] = 50,
     cursor: Annotated[
         str | None,
         Query(description="Opaque cursor from a previous response's next_cursor field"),

SPARC/database.py

@@ -371,6 +371,48 @@ class DatabaseClient:
                 cursor.execute(query, params)
                 return [dict(row) for row in cursor.fetchall()]
 
+    def list_analyses(
+        self,
+        company_name: Optional[str] = None,
+        limit: int = 50,
+        cursor: Optional[str] = None,
+    ) -> List[Dict]:
+        """List analysis results with cursor-based pagination.
+
+        Args:
+            company_name: Optional filter by company name.
+            limit: Maximum number of records to return.
+            cursor: Opaque cursor (``timestamp|id``) from a previous response.
+
+        Returns:
+            List of analysis dicts ordered by timestamp descending.
+        """
+        conditions: list[str] = ["is_cached = FALSE"]
+        params: list = []
+
+        if company_name:
+            conditions.append("LOWER(company_name) = LOWER(%s)")
+            params.append(company_name)
+
+        if cursor:
+            try:
+                ts_str, cursor_id = cursor.rsplit("|", 1)
+                conditions.append("(timestamp, id) < (%s, %s)")
+                params.extend([ts_str, int(cursor_id)])
+            except (ValueError, TypeError):
+                pass  # Ignore malformed cursors; return from start
+
+        query = "SELECT id, company_name, analysis_type, model, response, timestamp FROM llm_messages"
+        if conditions:
+            query += " WHERE " + " AND ".join(conditions)
+        query += " ORDER BY timestamp DESC, id DESC LIMIT %s"
+        params.append(limit)
+
+        with self.get_conn() as conn:
+            with conn.cursor(cursor_factory=RealDictCursor) as cur:
+                cur.execute(query, params)
+                return [dict(row) for row in cur.fetchall()]
+
     def get_analytics(self, days: int = 30) -> Dict:
         """Get analytics on message usage.
 

tests/test_pagination.py

@@ -0,0 +1,169 @@
+"""Tests for cursor-based pagination on /analyze/batch GET and /jobs endpoints."""
+
+from datetime import datetime, timedelta
+from unittest.mock import Mock, patch
+
+import pytest
+from fastapi.testclient import TestClient
+
+from SPARC.api import app
+
+
+@pytest.fixture
+def client():
+    """Create test client."""
+    return TestClient(app)
+
+
+def _make_analysis_row(id_: int, minutes_ago: int = 0, company: str = "nvidia"):
+    """Create a fake analysis row dict."""
+    ts = datetime.now() - timedelta(minutes=minutes_ago)
+    return {
+        "id": id_,
+        "company_name": company,
+        "analysis_type": "patent_portfolio",
+        "model": "openai/gpt-4o",
+        "response": f"Analysis for {company}",
+        "timestamp": ts,
+    }
+
+
+def _make_job_row(job_id: str, minutes_ago: int = 0, status: str = "completed"):
+    """Create a fake job row dict."""
+    ts = datetime.now() - timedelta(minutes=minutes_ago)
+    return {
+        "job_id": job_id,
+        "status": status,
+        "progress": 100 if status == "completed" else 0,
+        "total_companies": 1,
+        "completed_companies": 1 if status == "completed" else 0,
+        "result": None,
+        "error": None,
+        "created_at": ts,
+    }
+
+
+class TestAnalyzeBatchGetPagination:
+    """Test cursor-based pagination on GET /analyze/batch."""
+
+    @patch("SPARC.api._get_job_db")
+    def test_returns_items_and_no_cursor_when_less_than_limit(self, mock_get_db, client):
+        """When fewer results than limit, next_cursor should be null."""
+        db = Mock()
+        db.list_analyses.return_value = [
+            _make_analysis_row(1, minutes_ago=10),
+            _make_analysis_row(2, minutes_ago=20),
+        ]
+        mock_get_db.return_value = db
+
+        response = client.get("/analyze/batch?limit=10")
+        assert response.status_code == 200
+        data = response.json()
+        assert len(data["items"]) == 2
+        assert data["next_cursor"] is None
+
+    @patch("SPARC.api._get_job_db")
+    def test_returns_cursor_when_more_results_exist(self, mock_get_db, client):
+        """When more results exist than limit, next_cursor should be set."""
+        db = Mock()
+        # Return limit+1 rows to simulate more data
+        rows = [_make_analysis_row(i, minutes_ago=i) for i in range(4)]
+        db.list_analyses.return_value = rows
+        mock_get_db.return_value = db
+
+        response = client.get("/analyze/batch?limit=3")
+        assert response.status_code == 200
+        data = response.json()
+        assert len(data["items"]) == 3
+        assert data["next_cursor"] is not None
+
+    @patch("SPARC.api._get_job_db")
+    def test_cursor_passed_to_db(self, mock_get_db, client):
+        """The cursor query param should be forwarded to the database layer."""
+        db = Mock()
+        db.list_analyses.return_value = []
+        mock_get_db.return_value = db
+
+        client.get("/analyze/batch?cursor=2025-01-01T00:00:00|42")
+        db.list_analyses.assert_called_once()
+        call_kwargs = db.list_analyses.call_args
+        assert call_kwargs.kwargs.get("cursor") == "2025-01-01T00:00:00|42" or \
+            (call_kwargs[1].get("cursor") == "2025-01-01T00:00:00|42" if len(call_kwargs) > 1 else False)
+
+    @patch("SPARC.api._get_job_db")
+    def test_default_limit_is_50(self, mock_get_db, client):
+        """Default limit should be 50."""
+        db = Mock()
+        db.list_analyses.return_value = []
+        mock_get_db.return_value = db
+
+        client.get("/analyze/batch")
+        call_kwargs = db.list_analyses.call_args
+        # The endpoint requests limit+1 from DB, so 51
+        assert 51 in call_kwargs.args or call_kwargs.kwargs.get("limit") == 51
+
+    def test_limit_over_200_rejected(self, client):
+        """Limit > 200 should be rejected with 422."""
+        response = client.get("/analyze/batch?limit=201")
+        assert response.status_code == 422
+
+    def test_limit_zero_rejected(self, client):
+        """Limit < 1 should be rejected with 422."""
+        response = client.get("/analyze/batch?limit=0")
+        assert response.status_code == 422
+
+    @patch("SPARC.api._get_job_db")
+    def test_company_name_filter(self, mock_get_db, client):
+        """The company_name filter should be forwarded to the database."""
+        db = Mock()
+        db.list_analyses.return_value = []
+        mock_get_db.return_value = db
+
+        client.get("/analyze/batch?company_name=intel")
+        call_kwargs = db.list_analyses.call_args
+        assert call_kwargs.kwargs.get("company_name") == "intel" or \
+            "intel" in (call_kwargs.args if call_kwargs.args else [])
+
+    @patch("SPARC.api._get_job_db")
+    def test_empty_result_set(self, mock_get_db, client):
+        """Empty result set returns empty items and null cursor."""
+        db = Mock()
+        db.list_analyses.return_value = []
+        mock_get_db.return_value = db
+
+        response = client.get("/analyze/batch")
+        assert response.status_code == 200
+        data = response.json()
+        assert data["items"] == []
+        assert data["next_cursor"] is None
+
+
+class TestJobsPaginationDefaults:
+    """Test that /jobs endpoint uses updated defaults."""
+
+    @patch("SPARC.api._get_job_db")
+    def test_default_limit_is_50(self, mock_get_db, client):
+        """Default limit should now be 50."""
+        db = Mock()
+        db.list_jobs.return_value = []
+        mock_get_db.return_value = db
+
+        client.get("/jobs")
+        call_kwargs = db.list_jobs.call_args
+        # Endpoint requests limit+1 from DB, so 51
+        assert 51 in call_kwargs.args or call_kwargs.kwargs.get("limit") == 51
+
+    def test_limit_over_200_rejected(self, client):
+        """Limit > 200 should be rejected with 422."""
+        response = client.get("/jobs?limit=201")
+        assert response.status_code == 422
+
+    @patch("SPARC.api._get_job_db")
+    def test_limit_200_accepted(self, mock_get_db, client):
+        """Limit of exactly 200 should be accepted."""
+        db = Mock()
+        db.list_jobs.return_value = []
+        mock_get_db.return_value = db
+
+        response = client.get("/jobs?limit=200")
+        assert response.status_code == 200