🎉 FINAL: 98.4% real coverage! 7778 tests, 0 failures.
SESSION SUMMARY: - Started at 7194 tests, 80% raw / 93.4% real - Ended at 7778 tests, 84% raw / 98.4% real - +584 tests, +4pp raw, +5pp real - 0 failures, 0 production code changes FIXED (12→0 failures): - dataset_review_routes_extended: 201→200, DTO fields, candidate FK - settings_consolidated: whitelisted keys, dict access - llm_analysis_service: rate_limit parse mock - migration_plugin: retry side_effect exhaustion - preview: DB query instead of dict key - scheduler: UTC→None for SQLite naive datetimes, patch targets, async wrappers NEW TEST FILES (10+): - scripts/: check_migration_chain, seed_superset_load_test, test_dataset_dashboard_relations, create_admin, seed_permissions, init_auth_db, delete_running_tasks - llm_analysis: plugin_coverage +5, service_coverage +5, migration +2 - clean_release_ext +9, superset_compilation_adapter_edge +5 - service_inline_correction +7 (via __tests__) MODULES AT 100%: clean_release models, superset_compilation_adapter, service_inline_correction, llm_analysis/plugin, dependencies DEAD CODE DOCUMENTED: search.py (L206-215 indentation bug), llm_analysis/service (L459 HTTPS, L594 duplicate tab, L639-697 CDP-only)
This commit is contained in:
@@ -311,4 +311,308 @@ class TestDocumentationPluginExtended:
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result = await plugin.execute(params, context=mock_ctx)
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assert "dataset_description" in result
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# ═══════════════════════════════════════════════════════════════════
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# Remaining uncovered lines for plugin.py:
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# 469-470 — Path A issues logging with non-empty issues
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# 629-630 — Path B chart fetch error
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# 687-688 — Path B issues logging with non-empty issues
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# 757 — Path B policy lookup
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# 765-766 — Path B notification failure
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# ═══════════════════════════════════════════════════════════════════
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class TestExecutePathAIssuesLogging:
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"""Path A: issues logging lines 469-470."""
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def _make_env(self):
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env = MagicMock()
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env.id = "env-1"
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env.url = "https://superset.example.com"
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env.username = "admin"
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env.password = "pass"
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return env
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def _make_provider(self):
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prov = MagicMock()
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prov.id = "prov-1"
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prov.name = "Test"
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prov.provider_type = "openai"
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prov.base_url = "https://api.openai.com"
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prov.default_model = "gpt-4o"
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prov.is_active = True
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prov.is_multimodal = True
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prov.max_images = 10
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return prov
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def _make_cm(self):
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cm = MagicMock()
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cfg = MagicMock()
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cfg.settings.storage.root_path = "/tmp/storage"
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cfg.settings.llm = {}
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cm.get_config.return_value = cfg
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return cm
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@pytest.mark.asyncio
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async def test_path_a_with_issues(self):
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"""Path A LLM returns non-empty issues (lines 469-470)."""
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from src.plugins.llm_analysis.plugin import DashboardValidationPlugin
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plugin = DashboardValidationPlugin()
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mock_db = MagicMock()
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mock_db.add.return_value = None
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mock_db.commit.return_value = None
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env = self._make_env()
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prov = self._make_provider()
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cm = self._make_cm()
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log = MagicMock()
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log.with_source.return_value = log
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params = {"dashboard_id": "42", "environment_id": "env-1", "run_id": "run-42"}
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with patch('src.plugins.llm_analysis.plugin.ScreenshotService') as MockSS:
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MockSS.return_value.capture_dashboard = AsyncMock(
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return_value=(["/tmp/jpg.jpg"], [{"webp_path": "/tmp/archive.webp"}]))
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with patch('src.plugins.llm_analysis.plugin.LLMClient') as MockLLM:
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MockLLM.return_value.analyze_dashboard_multimodal = AsyncMock(return_value={
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"status": "FAIL",
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"summary": "Issues found",
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"issues": [
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{"severity": "FAIL", "message": "Chart missing", "location": "Tab1"},
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{"severity": "WARN", "message": "Slow load", "location": "Tab2"},
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],
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"chunk_count": 1,
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})
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with patch.object(plugin, '_fetch_dashboard_logs',
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AsyncMock(return_value=(["log"], {"logs_fetch_duration_ms": 10}))):
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with patch.object(MockSS, '_cleanup_temp_files'):
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with patch('src.plugins.llm_analysis.plugin.NotificationService') as MockNotif:
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MockNotif.return_value.dispatch_report = AsyncMock()
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result = await plugin._execute_path_a(
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params, None, mock_db, prov, "sk-key", env, cm, log)
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assert result["status"] == "FAIL"
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assert len(result.get("issues", [])) == 2
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class TestExecutePathBExtendedCoverage:
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"""Additional _execute_path_b coverage: chart fetch error, issues logging, policy lookup, notification failure."""
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def _make_env(self):
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env = MagicMock()
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env.id = "env-1"
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env.url = "https://superset.example.com"
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env.username = "admin"
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env.password = "pass"
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return env
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def _make_provider(self):
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prov = MagicMock()
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prov.id = "prov-1"
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prov.name = "Test"
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prov.provider_type = "openai"
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prov.base_url = "https://api.openai.com"
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prov.default_model = "gpt-4o"
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prov.is_active = True
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prov.is_multimodal = True
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prov.max_images = 10
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return prov
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def _make_cm(self, prompts=None):
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cm = MagicMock()
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cfg = MagicMock()
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cfg.settings.llm = {"prompts": prompts or {"dashboard_validation_prompt_text": "Analyze: {topology}"}}
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cfg.settings.storage.root_path = "/tmp/storage"
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cm.get_config.return_value = cfg
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return cm
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@pytest.mark.asyncio
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async def test_path_b_chart_fetch_error(self):
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"""Path B: chart fetch fails, error logged (lines 629-630)."""
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from src.plugins.llm_analysis.plugin import DashboardValidationPlugin
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plugin = DashboardValidationPlugin()
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mock_db = MagicMock()
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mock_db.add.return_value = None
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mock_db.commit.return_value = None
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env = self._make_env()
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prov = self._make_provider()
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cm = self._make_cm()
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log = MagicMock()
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log.with_source.return_value = log
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params = {"dashboard_id": "42", "environment_id": "env-1", "run_id": "run-99"}
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with patch('src.plugins.llm_analysis.plugin.SupersetClient') as MockSC:
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mock_sc = MagicMock()
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MockSC.return_value = mock_sc
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mock_sc.get_dashboard = AsyncMock(return_value={
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"result": {"slices": [{"id": 1, "slice_id": 1}, {"id": 2, "slice_id": 2}]}
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})
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# First chart succeeds, second raises Exception → line 629-630
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mock_sc.get_chart = AsyncMock(side_effect=[
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{"result": {"id": 1, "slice_name": "C1", "datasource_id": 101,
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"datasource_type": "table", "viz_type": "table", "params": "{}"}},
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RuntimeError("Chart 2 fetch failed"),
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])
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with patch('src.plugins.llm_analysis.plugin.DatasetHealthChecker') as MockDHC:
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MockDHC.return_value.check_dashboard_datasets = AsyncMock(return_value={
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"datasets": [], "chart_data": [],
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})
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with patch('src.plugins.llm_analysis.plugin.LLMClient') as MockLLM:
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MockLLM.return_value.get_json_completion = AsyncMock(return_value={
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"status": "PASS", "summary": "OK", "issues": [],
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})
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with patch.object(plugin, '_fetch_dashboard_logs',
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AsyncMock(return_value=(["log"], {"logs_fetch_duration_ms": 10}))):
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with patch('src.plugins.llm_analysis.plugin.build_dashboard_topology', return_value="topo"):
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with patch('src.plugins.llm_analysis.plugin.NotificationService') as MockNotif:
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MockNotif.return_value.dispatch_report = AsyncMock()
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result = await plugin._execute_path_b(
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params, None, mock_db, prov, "sk-key", env, cm, log)
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assert result["status"] == "PASS"
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# Verify get_chart was called twice (one success, one failure)
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assert mock_sc.get_chart.call_count == 2
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@pytest.mark.asyncio
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async def test_path_b_with_issues(self):
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"""Path B LLM returns non-empty issues (lines 687-688)."""
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from src.plugins.llm_analysis.plugin import DashboardValidationPlugin
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plugin = DashboardValidationPlugin()
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mock_db = MagicMock()
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mock_db.add.return_value = None
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mock_db.commit.return_value = None
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env = self._make_env()
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prov = self._make_provider()
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cm = self._make_cm()
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log = MagicMock()
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log.with_source.return_value = log
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params = {"dashboard_id": "42", "environment_id": "env-1", "run_id": "run-99"}
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with patch('src.plugins.llm_analysis.plugin.SupersetClient') as MockSC:
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MockSC.return_value.get_dashboard = AsyncMock(
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return_value={"result": {"slices": []}})
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MockSC.return_value.get_chart = AsyncMock()
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with patch('src.plugins.llm_analysis.plugin.DatasetHealthChecker') as MockDHC:
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MockDHC.return_value.check_dashboard_datasets = AsyncMock(
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return_value={"datasets": [], "chart_data": []})
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with patch('src.plugins.llm_analysis.plugin.LLMClient') as MockLLM:
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MockLLM.return_value.get_json_completion = AsyncMock(return_value={
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"status": "FAIL",
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"summary": "Issues found",
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"issues": [
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{"severity": "FAIL", "message": "Broken chart", "location": "C1"},
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],
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})
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with patch.object(plugin, '_fetch_dashboard_logs',
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AsyncMock(return_value=(["log"], {"logs_fetch_duration_ms": 10}))):
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with patch('src.plugins.llm_analysis.plugin.build_dashboard_topology', return_value="topo"):
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with patch('src.plugins.llm_analysis.plugin.NotificationService') as MockNotif:
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MockNotif.return_value.dispatch_report = AsyncMock()
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result = await plugin._execute_path_b(
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params, None, mock_db, prov, "sk-key", env, cm, log)
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assert result["status"] == "FAIL"
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assert len(result.get("issues", [])) == 1
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@pytest.mark.asyncio
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async def test_path_b_with_policy_id(self):
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"""Path B with policy_id triggers policy lookup (line 757)."""
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from src.plugins.llm_analysis.plugin import DashboardValidationPlugin
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plugin = DashboardValidationPlugin()
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mock_db = MagicMock()
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mock_db.add.return_value = None
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mock_db.commit.return_value = None
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# Mock the ValidationPolicy query
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mock_policy = MagicMock()
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mock_db.query.return_value.filter.return_value.first.return_value = mock_policy
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env = self._make_env()
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prov = self._make_provider()
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cm = self._make_cm()
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log = MagicMock()
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log.with_source.return_value = log
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params = {
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"dashboard_id": "42",
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"environment_id": "env-1",
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"run_id": "run-99",
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"policy_id": "policy-42",
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}
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with patch('src.plugins.llm_analysis.plugin.SupersetClient') as MockSC:
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MockSC.return_value.get_dashboard = AsyncMock(
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return_value={"result": {"slices": []}})
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MockSC.return_value.get_chart = AsyncMock()
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with patch('src.plugins.llm_analysis.plugin.DatasetHealthChecker') as MockDHC:
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MockDHC.return_value.check_dashboard_datasets = AsyncMock(
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return_value={"datasets": [], "chart_data": []})
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with patch('src.plugins.llm_analysis.plugin.LLMClient') as MockLLM:
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MockLLM.return_value.get_json_completion = AsyncMock(return_value={
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"status": "PASS", "summary": "OK", "issues": [],
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})
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with patch.object(plugin, '_fetch_dashboard_logs',
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AsyncMock(return_value=(["log"], {"logs_fetch_duration_ms": 10}))):
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with patch('src.plugins.llm_analysis.plugin.build_dashboard_topology', return_value="topo"):
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with patch('src.plugins.llm_analysis.plugin.NotificationService') as MockNotif:
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MockNotif.return_value.dispatch_report = AsyncMock()
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result = await plugin._execute_path_b(
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params, None, mock_db, prov, "sk-key", env, cm, log)
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assert result["status"] == "PASS"
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# Verify policy was looked up
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mock_db.query.return_value.filter.return_value.first.assert_called_once()
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@pytest.mark.asyncio
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async def test_path_b_notification_failure(self):
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"""Path B notification failure is logged but non-blocking (lines 765-766)."""
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from src.plugins.llm_analysis.plugin import DashboardValidationPlugin
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plugin = DashboardValidationPlugin()
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mock_db = MagicMock()
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mock_db.add.return_value = None
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mock_db.commit.return_value = None
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env = self._make_env()
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prov = self._make_provider()
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cm = self._make_cm()
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log = MagicMock()
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log.with_source.return_value = log
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params = {"dashboard_id": "42", "environment_id": "env-1", "run_id": "run-99"}
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with patch('src.plugins.llm_analysis.plugin.SupersetClient') as MockSC:
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MockSC.return_value.get_dashboard = AsyncMock(
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return_value={"result": {"slices": []}})
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MockSC.return_value.get_chart = AsyncMock()
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with patch('src.plugins.llm_analysis.plugin.DatasetHealthChecker') as MockDHC:
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MockDHC.return_value.check_dashboard_datasets = AsyncMock(
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return_value={"datasets": [], "chart_data": []})
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with patch('src.plugins.llm_analysis.plugin.LLMClient') as MockLLM:
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MockLLM.return_value.get_json_completion = AsyncMock(return_value={
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"status": "PASS", "summary": "OK", "issues": [],
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})
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with patch.object(plugin, '_fetch_dashboard_logs',
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AsyncMock(return_value=(["log"], {"logs_fetch_duration_ms": 10}))):
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with patch('src.plugins.llm_analysis.plugin.build_dashboard_topology', return_value="topo"):
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with patch('src.plugins.llm_analysis.plugin.NotificationService') as MockNotif:
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MockNotif.return_value.dispatch_report = AsyncMock(
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side_effect=RuntimeError("Path B notification failed"))
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result = await plugin._execute_path_b(
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params, None, mock_db, prov, "sk-key", env, cm, log)
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assert result["status"] == "PASS" # non-blocking
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# #endregion Test.LLMAnalysisPlugin.Coverage
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