"""Tests for value engine analysis tool."""
import pytest
from artefact_mcp.tools.engines import analyze_engine, ENGINE_DEFINITIONS
class TestAnalyzeEngine:
def test_growth_engine(self):
result = analyze_engine(engine_type="growth", source="sample")
assert result["engine"]["type"] == "growth"
assert result["engine"]["label"] == "Growth Engine"
assert "analysis" in result
assert "health_score" in result["analysis"]
assert 0 <= result["analysis"]["health_score"] <= 100
def test_fulfillment_engine(self):
result = analyze_engine(engine_type="fulfillment", source="sample")
assert result["engine"]["type"] == "fulfillment"
assert result["engine"]["label"] == "Fulfillment Engine"
assert "analysis" in result
assert "data_gaps" in result["analysis"]
def test_innovation_engine(self):
result = analyze_engine(engine_type="innovation", source="sample")
assert result["engine"]["type"] == "innovation"
assert result["engine"]["label"] == "Innovation Engine"
assert "analysis" in result
assert "data_gaps" in result["analysis"]
def test_engine_definition_fields(self):
for engine_type in ENGINE_DEFINITIONS:
result = analyze_engine(engine_type=engine_type, source="sample")
engine = result["engine"]
assert "type" in engine
assert "label" in engine
assert "purpose" in engine
assert "artefact_pillars" in engine
assert "stages" in engine
assert "key_metrics" in engine
assert len(engine["stages"]) > 0
assert len(engine["key_metrics"]) > 0
def test_growth_engine_metrics(self):
result = analyze_engine(engine_type="growth", source="sample")
metrics = result["analysis"]["metrics"]
assert "pipeline_volume" in metrics
assert "avg_conversion_rate" in metrics
assert "cycle_days" in metrics
assert "deal_progression" in metrics
def test_growth_engine_signals(self):
result = analyze_engine(engine_type="growth", source="sample")
signals = result["analysis"].get("signals", [])
for signal in signals:
assert signal["signal_type"] in (
"conversion_drop_off", "velocity_anomaly", "win_loss_pattern"
)
def test_methodology_resource_reference(self):
result = analyze_engine(engine_type="growth", source="sample")
assert result["methodology_resource"] == "methodology://value-engines"
def test_invalid_engine_type(self):
with pytest.raises(ValueError, match="Invalid engine_type"):
analyze_engine(engine_type="invalid", source="sample")
def test_invalid_source(self):
with pytest.raises(ValueError, match="Invalid source"):
analyze_engine(engine_type="growth", source="invalid")
def test_hubspot_without_client(self):
with pytest.raises(ValueError, match="HubSpot client required"):
analyze_engine(engine_type="growth", source="hubspot")
def test_deals_analyzed_count(self):
result = analyze_engine(engine_type="growth", source="sample")
assert result["deals_analyzed"] == 8
