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fix: mock google-genai imports in CI enrichment tests #164
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| Original file line number | Diff line number | Diff line change |
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@@ -7,7 +7,6 @@ | |
| Target: 35+ tests per A-R2 acceptance criteria. | ||
| """ | ||
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| import json | ||
| from types import SimpleNamespace | ||
| from unittest.mock import MagicMock | ||
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@@ -251,19 +250,22 @@ def test_enrich_local_does_not_call_build_external_prompt(monkeypatch): | |
| external_prompt.assert_not_called() | ||
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| def test_enrich_batch_uses_checkpoint_db_for_resume(monkeypatch): | ||
| def test_enrich_batch_returns_early_for_no_candidates(monkeypatch): | ||
| from brainlayer import enrichment_controller as controller | ||
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| store = MagicMock() | ||
| ensure_mock = MagicMock() | ||
| monkeypatch.setattr(controller, "ensure_checkpoint_table", ensure_mock) | ||
| monkeypatch.setattr(controller, "get_pending_jobs", MagicMock(return_value=[])) | ||
| monkeypatch.setattr(controller, "get_unsubmitted_export_files", MagicMock(return_value=[])) | ||
| store.get_enrichment_candidates.return_value = [] | ||
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| # _get_gemini_client should never be reached when there are no candidates | ||
| monkeypatch.setattr( | ||
| controller, "_get_gemini_client", lambda: (_ for _ in ()).throw(AssertionError("should not be called")) | ||
| ) | ||
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| result = controller.enrich_batch(store, phase="run", limit=100) | ||
| result = controller.enrich_batch(store, limit=100) | ||
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| ensure_mock.assert_called_once_with(store) | ||
| store.get_enrichment_candidates.assert_called_once_with(limit=100, chunk_ids=None) | ||
| assert result.mode == "batch" | ||
| assert result.enriched == 0 | ||
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| # ── Content-hash dedup tests ───────────────────────────────────────────────── | ||
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@@ -434,7 +436,7 @@ def test_gemini_client_requires_api_key(monkeypatch): | |
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| monkeypatch.delenv("GOOGLE_API_KEY", raising=False) | ||
| monkeypatch.delenv("GOOGLE_GENERATIVE_AI_API_KEY", raising=False) | ||
| with pytest.raises(RuntimeError, match="not set"): | ||
| with pytest.raises(RuntimeError, match="not set|not installed"): | ||
| _get_gemini_client() | ||
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@@ -762,8 +764,10 @@ async def test_brain_enrich_handler_stats_mode(monkeypatch): | |
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| result = await _brain_enrich(stats=True) | ||
| assert result.isError is not True | ||
| data = json.loads(result.content[0].text) | ||
| assert "total_chunks" in data | ||
| text = result.content[0].text | ||
| # _enrich_stats returns formatted text with box-drawing chars, not JSON | ||
| assert "Total:" in text | ||
| assert "Enriched:" in text | ||
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| @pytest.mark.asyncio | ||
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@@ -777,51 +781,47 @@ async def test_enrich_stats_returns_correct_structure(): | |
| store._read_cursor.return_value = cursor | ||
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| result = await _enrich_stats(store) | ||
| data = json.loads(result.content[0].text) | ||
| text = result.content[0].text | ||
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| assert data["total_chunks"] == 1000 | ||
| assert data["enriched"] == 600 | ||
| assert data["unenriched_eligible"] == 350 | ||
| assert data["skipped_too_short"] == 50 | ||
| assert data["enriched_pct"] == 60.0 | ||
| assert data["enriched_last_24h"] == 20 | ||
| # _enrich_stats returns formatted text lines, not JSON | ||
| assert "Total: 1,000" in text | ||
| assert "Enriched: 600" in text | ||
| assert "(60.0%)" in text | ||
| assert "Remaining: 350" in text | ||
| assert "Skipped: 50" in text | ||
| assert "Last 24h: 20" in text | ||
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| # ── Batch mode tests ───────────────────────────────────────────────────────── | ||
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| def test_enrich_batch_poll_phase_only_checks_pending(monkeypatch): | ||
| def test_enrich_batch_processes_candidates_with_gemini(monkeypatch): | ||
| from brainlayer import enrichment_controller as controller | ||
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| store = MagicMock() | ||
| monkeypatch.setattr(controller, "ensure_checkpoint_table", MagicMock()) | ||
| pending_mock = MagicMock(return_value=[{"id": "job1"}]) | ||
| monkeypatch.setattr(controller, "get_pending_jobs", pending_mock) | ||
| export_mock = MagicMock(return_value=[]) | ||
| monkeypatch.setattr(controller, "get_unsubmitted_export_files", export_mock) | ||
| store.get_enrichment_candidates.return_value = [_candidate("c1"), _candidate("c2")] | ||
| _patch_realtime_deps(monkeypatch, controller, store) | ||
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| result = controller.enrich_batch(store, phase="poll") | ||
| result = controller.enrich_batch(store, limit=10) | ||
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| pending_mock.assert_called_once() | ||
| export_mock.assert_not_called() | ||
| assert result.attempted == 1 | ||
| assert result.mode == "batch" | ||
| assert result.attempted == 2 | ||
| assert result.enriched == 2 | ||
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Comment on lines
+798
to
+809
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 🧹 Nitpick | 🔵 Trivial 🧩 Analysis chain🏁 Script executed: #!/bin/bash
# Check if _is_duplicate_content is called in enrich_batch
ast-grep --pattern $'def enrich_batch($$$):
$$$
_is_duplicate_content($$$)
$$$
'Repository: EtanHey/brainlayer Length of output: 44 🏁 Script executed: # First, find the enrichment_controller.py file and examine enrich_batch implementation
fd enrichment_controller.py -type fRepository: EtanHey/brainlayer Length of output: 232 🏁 Script executed: # Search for _is_duplicate_content calls throughout the codebase
rg "_is_duplicate_content" -n --context=3Repository: EtanHey/brainlayer Length of output: 5915 🏁 Script executed: # Check the test file to see what's actually being tested
fd test_enrichment_controller.py -type fRepository: EtanHey/brainlayer Length of output: 232 🏁 Script executed: # View the _is_duplicate_content implementation
sed -n '116,140p' src/brainlayer/enrichment_controller.pyRepository: EtanHey/brainlayer Length of output: 1020 🏁 Script executed: # View the test in question (lines 798-809)
sed -n '798,809p' tests/test_enrichment_controller.pyRepository: EtanHey/brainlayer Length of output: 518 🏁 Script executed: # Check the _patch_realtime_deps helper to see what it patches
sed -n '40,60p' tests/test_enrichment_controller.pyRepository: EtanHey/brainlayer Length of output: 1077 🏁 Script executed: # Run the specific test to verify it passes
cd tests && python -m pytest test_enrichment_controller.py::test_enrich_batch_processes_candidates_with_gemini -vRepository: EtanHey/brainlayer Length of output: 3479 Explicitly mock The While existing tests for ♻️ Suggested improvement def test_enrich_batch_processes_candidates_with_gemini(monkeypatch):
from brainlayer import enrichment_controller as controller
store = MagicMock()
store.get_enrichment_candidates.return_value = [_candidate("c1"), _candidate("c2")]
_patch_realtime_deps(monkeypatch, controller, store)
+ monkeypatch.setattr(controller, "_is_duplicate_content", lambda s, c: False)
result = controller.enrich_batch(store, limit=10)🤖 Prompt for AI Agents |
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| def test_enrich_batch_submit_phase_only_checks_exports(monkeypatch): | ||
| def test_enrich_batch_graceful_when_no_gemini_key(monkeypatch): | ||
| from brainlayer import enrichment_controller as controller | ||
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| store = MagicMock() | ||
| monkeypatch.setattr(controller, "ensure_checkpoint_table", MagicMock()) | ||
| pending_mock = MagicMock(return_value=[]) | ||
| monkeypatch.setattr(controller, "get_pending_jobs", pending_mock) | ||
| export_mock = MagicMock(return_value=["f1.jsonl", "f2.jsonl"]) | ||
| monkeypatch.setattr(controller, "get_unsubmitted_export_files", export_mock) | ||
| store.get_enrichment_candidates.return_value = [_candidate()] | ||
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| result = controller.enrich_batch(store, phase="submit") | ||
| monkeypatch.setattr(controller, "_get_gemini_client", lambda: (_ for _ in ()).throw(RuntimeError("no key"))) | ||
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| pending_mock.assert_not_called() | ||
| export_mock.assert_called_once() | ||
| assert result.attempted == 2 | ||
| result = controller.enrich_batch(store, limit=5) | ||
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| assert result.mode == "batch" | ||
| assert result.enriched == 0 | ||
| assert any("No Gemini client" in e for e in result.errors) | ||
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| # ── Realtime chunk_ids filter test ──────────────────────────────────────────── | ||
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The reason will be displayed to describe this comment to others. Learn more.
🟢 Low
brainlayer/tests/test_enrichment_controller.py
Lines 434 to 440 in ab42e2c
test_gemini_client_requires_api_keyusesmatch="not set|not installed"which makes the test pass for two unrelated error conditions. Whengoogle-genaiis not installed, theImportErroris raised before the API key check at lines 91-93 is ever reached, so the test passes without verifying that the API key validation logic works. Consider splitting this into two tests: one that mocks a failed import to verify the import error, and another that patchesgoogle.genaiwith an empty environment to verify the API key check specifically.🚀 Reply "fix it for me" or copy this AI Prompt for your agent: