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124 lines
4.2 KiB
Python
124 lines
4.2 KiB
Python
import sys
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from pathlib import Path
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PROJECT_ROOT = Path(__file__).resolve().parent.parent
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TOOLS_DIR = PROJECT_ROOT / "tools"
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if str(TOOLS_DIR) not in sys.path:
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sys.path.insert(0, str(TOOLS_DIR))
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from oci_business_case_model import ( # noqa: E402
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SKU_ADBD_DB_SERVER,
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SKU_ADBD_STORAGE_SERVER,
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SKU_ADBS_STORAGE_ATP,
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build_bom_specs,
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build_crossover_chart,
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build_storage_economics,
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build_tco_projection,
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capacity_model,
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first_crossover_period,
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storage_break_even_tb,
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)
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def _scenario():
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return {
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"customer_name": "Synthetic Retail",
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"prepared_by": "Diego Cabrera",
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"license_model": "BYOL",
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"discount_pct": 0.10,
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"ecpu_per_db_node": 760,
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"current": {
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"label": "ADB-S As-Is",
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"workload_ecpu": 1000,
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"storage_tb": 80,
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},
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"target": {
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"label": "ADB-D Dedicated",
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"workload_ecpu": 1000,
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"storage_tb": 80,
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"db_nodes": 2,
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"storage_servers": 3,
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},
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"forecasts": [
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{
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"period": "24M",
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"display_label": "Year 2",
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"as_is": {"workload_ecpu": 1300, "storage_tb": 120},
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"to_be": {"workload_ecpu": 1300, "storage_tb": 120, "db_nodes": 3, "storage_servers": 3},
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},
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{
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"period": "36M",
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"display_label": "Year 3",
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"as_is": {"workload_ecpu": 1600, "storage_tb": 160},
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"to_be": {"workload_ecpu": 1600, "storage_tb": 160, "db_nodes": 4, "storage_servers": 3},
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},
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],
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"goldengate": {"mode": "migration_bridge_only", "ocpus": 2, "bridge_months": 3},
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}
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def test_capacity_model_separates_workload_demand_from_physical_capacity():
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cap = capacity_model({"workload_ecpu": 3705, "db_nodes": 7}, 760)
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assert cap.physical_capacity_ecpu == 5320
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assert round(cap.utilization_pct) == 70
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assert "3,705 ECPU used over 5,320 ECPU capacity" in cap.label
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def test_storage_break_even_calculation_applies_uniform_discount():
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tb = storage_break_even_tb(14500, 0.1156, 0.10)
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assert round(tb) == round(14500 / (0.1156 * 0.90) / 1024)
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def test_build_bom_specs_generates_current_and_projected_run_rate_boms():
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specs = build_bom_specs(_scenario())
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assert "current_as_is" in specs
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assert "to_be_steady_state" in specs
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assert "as_is_projected_24m" in specs
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assert "to_be_projected_36m" in specs
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assert "migration_bridge_year1" in specs
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current_skus = {item["sku"] for item in specs["current_as_is"]["bom"]["line_items"]}
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target_skus = {item["sku"] for item in specs["to_be_steady_state"]["bom"]["line_items"]}
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future_target_skus = {item["sku"] for item in specs["to_be_projected_36m"]["bom"]["line_items"]}
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bridge_skus = {item["sku"] for item in specs["migration_bridge_year1"]["bom"]["line_items"]}
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assert SKU_ADBS_STORAGE_ATP in current_skus
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assert SKU_ADBD_DB_SERVER in target_skus
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assert SKU_ADBD_STORAGE_SERVER in target_skus
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assert future_target_skus == target_skus
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assert "B92993" in bridge_skus
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assert "B92993" not in future_target_skus
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assert any("annual run-rate snapshots" in note for note in specs["to_be_projected_36m"]["bom"]["notes"])
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def test_forecast_projection_and_crossover_chart_are_native_shape_ready():
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projection = build_tco_projection(_scenario())
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chart = build_crossover_chart(projection, _scenario())
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assert projection[0]["label"] == "Near-term"
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assert chart["categories"] == ["Near-term", "Year 2", "Year 3"]
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assert chart["note"].startswith("Bars are native PowerPoint shapes")
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assert chart["bullets"][0].startswith("Near-term: ADB-D")
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def test_storage_economics_exposes_break_even_and_offset():
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economics = build_storage_economics(_scenario())
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assert economics["break_even_tb"] > 0
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assert economics["storage_offset_monthly"] > 0
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assert any(card["label"] == "Storage offset" for card in economics["cards"])
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def test_first_crossover_period_detects_first_cheaper_target():
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rows = [
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{"label": "Near-term", "as_is_annual_tco": 100, "to_be_annual_tco": 110},
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{"label": "Year 1", "as_is_annual_tco": 120, "to_be_annual_tco": 115},
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]
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assert first_crossover_period(rows) == "Year 1"
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