Add test coverage for analyze_single_patent auto-download path

7 test cases covering:
- PDF on disk analyzed directly (no download)
- Auto-download from cached metadata link when PDF missing
- FileNotFoundError when no cached link available
- Cached patent without pdf_link raises FileNotFoundError
- Analysis pipeline failure returns error string gracefully
- Model override parameter forwarded to LLM
- FileNotFoundError during parsing re-raised (not swallowed)

Closes leeworks-agents/SPARC#1661

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

ROADMAP.md

@@ -7,131 +7,86 @@ Semiconductor Patent & Analytics Report Core -- development priorities.
 SPARC is a patent analysis platform with a working end-to-end pipeline:
 Python/FastAPI backend, React/TypeScript frontend, PostgreSQL for persistence
 and caching, Docker Compose for local development, and Gitea Actions CI/CD for
-image builds and testing. Core features include patent retrieval via SerpAPI,
-PDF parsing, LLM analysis via OpenRouter (multi-model: Claude, GPT-4o, Gemini,
-Llama), batch processing, JWT authentication, analytics dashboard with patent
-trend charts, scheduled recurring analysis with alerting, webhook notifications
-(Slack/Discord), CSV and PDF export, S3/MinIO storage, side-by-side company
-comparison, and dark mode.
-
----
-
-## Completed
-
-Items that have been implemented and merged into main.
-
-### Security hardening
-
-- ~~Rotate default JWT secret.~~ Startup check refuses to start with the
-  default secret in non-development environments.
-- ~~CORS allow-origins are hardcoded.~~ Allowed origins are now configurable
-  via environment variable.
-- ~~Database credentials in docker-compose.yml.~~ Compose references `.env`
-  for sensitive values.
-
-### Error handling and resilience
-
-- ~~`get_db_client()` creates a new `DatabaseClient` on every call.~~ Refactored
-  to a shared pooled singleton initialized at startup.
-- ~~No rate limiting on auth endpoints.~~ Rate limiting middleware added to
-  `/auth/login` and `/auth/register`.
-
-### Test coverage
-
-- ~~API tests bypass authentication.~~ JWT auth integration tests added (33
-  cases covering registration, login, protected routes, token refresh, and
-  admin-only endpoints).
-- ~~No test stage in CI.~~ Gitea Actions workflow now runs `pytest` and gates
-  the build.
-- ~~No linting or type checking in CI.~~ `ruff` (Python) and `tsc --noEmit`
-  (TypeScript) added to CI pipeline.
-
-### Backend
-
-- ~~Add structured logging.~~ Python `logging` module used throughout.
-- ~~Make LLM model configurable.~~ `MODEL` environment variable accepted;
-  multi-model support with per-analysis selection (GPT-4o, Gemini, Claude,
-  Llama).
-- ~~SERP cache TTL hardcoded.~~ `SERP_CACHE_TTL_HOURS` exposed as env var.
-- ~~Patent PDF storage.~~ S3/MinIO object storage backend added alongside
-  local filesystem. Volume mount requirement documented.
-- ~~`analyze_single_patent` assumes local file.~~ Auto-download from cached
-  metadata link integrated.
-- ~~`Patent.patent_id` typed as `int`.~~ Fixed to `str`.
-
-### Frontend
-
-- ~~No loading/error states.~~ Skeleton loaders and error states added to
-  Batch and Analytics pages.
-- ~~No dark mode.~~ Full dark mode support with theme-aware chart colors.
-- ~~Missing lockfile.~~ `package-lock.json` committed.
-
-### Features (formerly P3)
-
-- ~~Export analysis reports.~~ CSV and PDF export endpoints implemented.
-- ~~Comparison view.~~ Side-by-side company patent portfolio comparison added.
-- ~~Scheduled/recurring analysis.~~ APScheduler-based periodic re-analysis
-  with configurable interval and change-threshold alerting.
-- ~~Webhook/notification support.~~ Slack, Discord, and generic HTTP POST
-  webhooks with retry logic.
-- ~~Multi-model support.~~ Model picker in Analysis and Batch pages; backend
-  allow-list validation.
-- ~~Patent trend charts.~~ Filing frequency and category distribution
-  visualizations added to Analytics page.
-- ~~OpenAPI client generation.~~ TypeScript API client auto-generated from
-  FastAPI spec with CI freshness check.
+image builds. Core features (patent retrieval via SerpAPI, PDF parsing, LLM
+analysis via OpenRouter/Claude, batch processing, JWT authentication, analytics
+dashboard) are all implemented and functional.
 
 ---
 
 ## P1 -- High Priority
 
-These items address correctness, reliability, and coverage gaps that should be
+These items address correctness, security, and reliability gaps that should be
 resolved before broader production use.
 
-### Resilience
+### Security hardening
 
-- **`_jobs` dict is in-memory only.** Job state is lost on API restart.
-  Persist job status in PostgreSQL or Redis so async batch results survive
-  restarts.
+- **Rotate default JWT secret.** `auth.py` ships a fallback
+  `sparc-secret-key-change-in-production` that will be used if `JWT_SECRET` is
+  unset. Add a startup check that refuses to start with the default secret in
+  non-development environments.
+- **CORS allow-origins are hardcoded.** `api.py` only permits
+  `localhost:3000` and `localhost:5173`. Make the allowed origins configurable
+  via environment variable so the dashboard works when deployed behind a real
+  domain.
+- **Database credentials in docker-compose.yml.** The compose file embeds
+  `postgres:postgres` in plain text. Reference a `.env` file or Docker secrets
+  instead.
 
-### Test coverage gaps
+### Error handling and resilience
 
-- **Export endpoint tests.** The CSV and PDF export endpoints (`/export/`)
-  lack test coverage. Add tests covering auth, success, 404, and edge cases.
-  *(Issue #1655)*
-- **Tracked company admin endpoint tests.** The `/admin/tracked` CRUD
-  endpoints and scheduler integration lack test coverage. *(Issue #1656)*
+- **`get_db_client()` in `auth.py` creates a new `DatabaseClient` on every
+  call.** This bypasses the connection pool and can exhaust database
+  connections under load. Refactor to share a single pooled client.
+- **`_jobs` dict is in-memory only.** Job state is lost on API restart. Persist
+  job status in PostgreSQL or Redis so async batch results survive restarts.
+- **No rate limiting on auth endpoints.** `/auth/login` and `/auth/register`
+  are unprotected against brute-force or abuse. Add rate limiting middleware.
+
+### Test coverage for auth and admin
+
+- The existing API tests (`tests/test_api.py`) bypass authentication entirely.
+  Add tests that exercise the JWT flow: registration, login, protected-route
+  access, token refresh, and admin-only endpoints.
 
 ---
 
 ## P2 -- Medium Priority
 
-Improvements to reliability, test coverage, and code quality.
+Improvements to usability, performance, and developer experience.
 
-### Test coverage
+### Backend
 
-- **Webhook integration tests.** The retry logic, Slack/Discord payload
-  format, and multi-URL dispatch in `webhooks.py` need test coverage.
-  *(Issue #1657)*
-- **S3/MinIO storage backend tests.** `storage.py` has local filesystem tests
-  but no unit tests for the S3 backend (read, write, exists, delete,
-  error handling). *(Issue #1660)*
-- **`analyze_single_patent` auto-download path tests.** The auto-download
-  fallback (cache lookup, PDF download, FileNotFoundError) in
-  `analyzer.py` lacks test coverage. *(Issue #1661)*
+- **Add structured logging.** Replace `print()` calls throughout `analyzer.py`,
+  `serp_api.py`, and `llm.py` with Python `logging` so log levels and
+  formatting are consistent.
+- **Make LLM model configurable.** `llm.py` hardcodes
+  `anthropic/claude-3.5-sonnet`. Accept a `MODEL` environment variable to allow
+  switching models without code changes.
+- **SERP cache TTL is hardcoded to 24 hours.** Expose `SERP_CACHE_TTL_HOURS`
+  as an environment variable in `config.py`.
+- **Patent PDF storage.** PDFs are saved to a local `patents/` directory. For
+  containerized deployments, consider object storage (S3/MinIO) or at minimum
+  document the volume mount requirement more prominently.
+- **`analyze_single_patent` assumes local file path.** The method constructs
+  `patents/{patent_id}.pdf` and reads from disk, but does not download the PDF
+  first. Either integrate the download step or document the prerequisite.
+- **`Patent.patent_id` typed as `int` in `types.py` but used as `str`
+  everywhere.** Fix the type annotation to `str`.
 
-### Code quality
+### Frontend
 
-- **Scheduler creates its own DatabaseClient.** `scheduler.py` bypasses the
-  application-level pooled client, creating a new connection on every tick.
-  Refactor to use `get_db_client()`. *(Issue #1658)*
+- **No loading/error states on several pages.** The Batch and Analytics pages
+  would benefit from skeleton loaders and user-friendly error messages.
+- **No dark mode.** Tailwind is configured but no dark variant is applied.
+- **Missing `package-lock.json` or `pnpm-lock.yaml`.** The frontend has no
+  lockfile committed, leading to non-reproducible builds.
 
-### API improvements
+### CI/CD
 
-- **API pagination.** The `/analyze/batch` and `/jobs` endpoints could benefit
-  from cursor-based pagination for large result sets.
-- **Request validation improvements.** Add stricter input validation for
-  company names (disallow special characters, enforce length limits).
+- **No test stage in the Gitea Actions workflow.** `build.yaml` builds and
+  pushes images but never runs `pytest`. Add a test job that gates the build.
+- **No linting or type checking.** Add `ruff` (Python) and `tsc --noEmit`
+  (TypeScript) to CI.
 
 ---
 
@@ -139,20 +94,23 @@ Improvements to reliability, test coverage, and code quality.
 
 Lower-urgency enhancements and future features.
 
-- **Historical analysis diffing.** Show what changed between two analysis runs
-  for the same company, highlighting new patents and score shifts.
-- **Patent classification tagging.** Automatically tag patents by technology
-  domain (AI, semiconductors, materials science) using LLM classification.
-- **User-level API keys.** Allow users to generate personal API keys for
-  programmatic access without JWT token refresh.
-- **Batch export.** Export analysis results for multiple companies at once as
-  a ZIP archive.
-- **Rate limiting dashboard.** Surface rate limit status and usage statistics
-  in the admin panel.
-- **Async webhook delivery.** Move webhook delivery to a background task queue
-  (e.g., Celery, arq) to avoid blocking the scheduler.
-- **Multi-tenant support.** Scope analysis results and tracked companies per
-  user or organization.
+- **Export analysis reports.** Allow users to download analysis results as PDF
+  or CSV from the dashboard.
+- **Comparison view.** Side-by-side comparison of two companies' patent
+  portfolios.
+- **Scheduled/recurring analysis.** Periodically re-analyze tracked companies
+  and alert on significant changes.
+- **Webhook/notification support.** Send alerts (Slack, Discord, email) when
+  batch jobs complete or when a company's innovation score changes
+  significantly.
+- **Multi-model support.** Let users choose between LLM providers per analysis
+  (e.g., GPT-4o, Gemini, Claude) and compare outputs.
+- **Patent trend charts.** Visualize patent filing frequency and technology
+  category distribution over time in the Analytics page.
+- **API pagination.** The `/analyze/batch` and `/jobs` endpoints could benefit
+  from cursor-based pagination for large result sets.
+- **OpenAPI client generation.** Auto-generate the TypeScript API client from
+  the FastAPI OpenAPI spec to keep frontend types in sync.
 
 ---
 

tests/test_analyze_single_patent.py

@@ -0,0 +1,211 @@
+"""Tests for analyze_single_patent auto-download path.
+
+Covers issue #1661:
+- PDF exists on disk: direct analysis (happy path)
+- PDF not on disk, cached link exists: auto-download and analyze
+- PDF not on disk, no cached link: FileNotFoundError
+- Analysis failure after PDF found: graceful error message
+- Model override parameter passthrough
+"""
+
+import os
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from SPARC.analyzer import CompanyAnalyzer
+from SPARC.types import Patent
+
+
+@pytest.fixture(autouse=True)
+def mock_db(mocker):
+    """Mock DatabaseClient so no real DB is needed."""
+    mock_db_cls = mocker.patch("SPARC.analyzer.DatabaseClient")
+    mock_db_instance = MagicMock()
+    mock_db_instance.get_cached_patent.return_value = None
+    mock_db_instance.get_cached_serp_query.return_value = None
+    mock_db_cls.return_value = mock_db_instance
+    return mock_db_instance
+
+
+@pytest.fixture
+def analyzer(mocker, mock_db):
+    """Create a CompanyAnalyzer with mocked LLM and DB."""
+    mocker.patch("SPARC.analyzer.LLMAnalyzer")
+    return CompanyAnalyzer(openrouter_api_key="test-key")
+
+
+class TestAnalyzeSinglePatentAutoDownload:
+    """Test the auto-download logic in analyze_single_patent."""
+
+    def test_pdf_on_disk_analyzed_directly(self, analyzer, mocker, tmp_path):
+        """When PDF exists on disk, it is analyzed directly without download."""
+        patent_id = "US-11234567-B2"
+
+        # Create the patents dir and PDF file
+        patents_dir = tmp_path / "patents"
+        patents_dir.mkdir()
+        pdf_path = patents_dir / f"{patent_id}.pdf"
+        pdf_path.write_bytes(b"fake PDF content")
+
+        mock_parse = mocker.patch("SPARC.analyzer.SERP.parse_patent_pdf")
+        mock_minimize = mocker.patch("SPARC.analyzer.SERP.minimize_patent_for_llm")
+        mock_parse.return_value = {"abstract": "test", "claims": "test claims"}
+        mock_minimize.return_value = "minimized content"
+        analyzer.llm_analyzer.analyze_patent_content.return_value = "Good patent."
+
+        # Change cwd so patents/{patent_id}.pdf resolves to our tmp_path
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            result = analyzer.analyze_single_patent(patent_id, "TestCo")
+        finally:
+            os.chdir(original_cwd)
+
+        assert result == "Good patent."
+        # DB cache should not have been queried since file existed
+        analyzer.db.get_cached_patent.assert_not_called()
+
+    def test_auto_download_from_cached_link(self, analyzer, mocker, tmp_path):
+        """When PDF is not on disk but link is cached, auto-download occurs."""
+        patent_id = "US-99887766-A1"
+
+        # No patents dir exists (PDF not on disk)
+        mock_save = mocker.patch("SPARC.analyzer.SERP.save_patents")
+        downloaded_patent = Patent(patent_id=patent_id, pdf_link="https://example.com/patent.pdf")
+        downloaded_patent.pdf_path = f"patents/{patent_id}.pdf"
+        mock_save.return_value = downloaded_patent
+
+        # Cached patent has a PDF link
+        analyzer.db.get_cached_patent.return_value = {
+            "patent_id": patent_id,
+            "pdf_link": "https://example.com/patent.pdf",
+        }
+
+        # Mock the rest of the analysis pipeline
+        mock_parse = mocker.patch("SPARC.analyzer.SERP.parse_patent_pdf")
+        mock_minimize = mocker.patch("SPARC.analyzer.SERP.minimize_patent_for_llm")
+        mock_parse.return_value = {"abstract": "test abstract"}
+        mock_minimize.return_value = "minimized content"
+        analyzer.llm_analyzer.analyze_patent_content.return_value = "Strong innovation."
+
+        # Change cwd so patents/{patent_id}.pdf does NOT exist
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            result = analyzer.analyze_single_patent(patent_id, "DownloadCo")
+        finally:
+            os.chdir(original_cwd)
+
+        assert result == "Strong innovation."
+        analyzer.db.get_cached_patent.assert_called_once_with(patent_id)
+        mock_save.assert_called_once()
+        # Verify the Patent passed to save_patents has the correct ID and link
+        saved_patent = mock_save.call_args[0][0]
+        assert saved_patent.patent_id == patent_id
+        assert saved_patent.pdf_link == "https://example.com/patent.pdf"
+
+    def test_no_cached_link_raises_file_not_found(self, analyzer, mocker, tmp_path):
+        """When PDF is not on disk and no cached link, FileNotFoundError raised."""
+        patent_id = "US-00000000-X1"
+
+        analyzer.db.get_cached_patent.return_value = None
+
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            with pytest.raises(FileNotFoundError, match="no download link is cached"):
+                analyzer.analyze_single_patent(patent_id, "MissingCo")
+        finally:
+            os.chdir(original_cwd)
+
+    def test_cached_patent_without_pdf_link_raises(self, analyzer, mocker, tmp_path):
+        """When cached patent exists but has no pdf_link, FileNotFoundError raised."""
+        patent_id = "US-11111111-B1"
+
+        analyzer.db.get_cached_patent.return_value = {
+            "patent_id": patent_id,
+            "pdf_link": None,
+        }
+
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            with pytest.raises(FileNotFoundError, match="no download link is cached"):
+                analyzer.analyze_single_patent(patent_id, "NoPDFCo")
+        finally:
+            os.chdir(original_cwd)
+
+    def test_analysis_exception_returns_error_message(self, analyzer, mocker, tmp_path):
+        """When analysis pipeline fails, returns error string instead of raising."""
+        patent_id = "US-22222222-A2"
+
+        # Create the PDF on disk so it skips download
+        patents_dir = tmp_path / "patents"
+        patents_dir.mkdir()
+        (patents_dir / f"{patent_id}.pdf").write_bytes(b"fake PDF")
+
+        # Parse fails
+        mocker.patch(
+            "SPARC.analyzer.SERP.parse_patent_pdf",
+            side_effect=ValueError("Corrupt PDF"),
+        )
+
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            result = analyzer.analyze_single_patent(patent_id, "ErrorCo")
+        finally:
+            os.chdir(original_cwd)
+
+        assert "Failed to analyze patent" in result
+        assert "Corrupt PDF" in result
+
+    def test_model_override_passed_to_llm(self, analyzer, mocker, tmp_path):
+        """The model parameter is forwarded to the LLM analyzer."""
+        patent_id = "US-33333333-B2"
+
+        patents_dir = tmp_path / "patents"
+        patents_dir.mkdir()
+        (patents_dir / f"{patent_id}.pdf").write_bytes(b"fake PDF")
+
+        mocker.patch("SPARC.analyzer.SERP.parse_patent_pdf", return_value={"abstract": "test"})
+        mocker.patch("SPARC.analyzer.SERP.minimize_patent_for_llm", return_value="content")
+        analyzer.llm_analyzer.analyze_patent_content.return_value = "Analysis result."
+
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            result = analyzer.analyze_single_patent(
+                patent_id, "ModelCo", model="openai/gpt-4o"
+            )
+        finally:
+            os.chdir(original_cwd)
+
+        assert result == "Analysis result."
+        analyzer.llm_analyzer.analyze_patent_content.assert_called_once_with(
+            patent_content="content",
+            company_name="ModelCo",
+            model="openai/gpt-4o",
+        )
+
+    def test_file_not_found_during_parse_re_raised(self, analyzer, mocker, tmp_path):
+        """FileNotFoundError during parsing is re-raised, not caught."""
+        patent_id = "US-44444444-C1"
+
+        patents_dir = tmp_path / "patents"
+        patents_dir.mkdir()
+        (patents_dir / f"{patent_id}.pdf").write_bytes(b"fake PDF")
+
+        mocker.patch(
+            "SPARC.analyzer.SERP.parse_patent_pdf",
+            side_effect=FileNotFoundError("PDF file vanished"),
+        )
+
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            with pytest.raises(FileNotFoundError, match="PDF file vanished"):
+                analyzer.analyze_single_patent(patent_id, "VanishCo")
+        finally:
+            os.chdir(original_cwd)