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Added additional test for solar
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Khalim Conn-Kowlessar
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commit
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1 changed files with 164 additions and 0 deletions
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@ -243,3 +243,167 @@ class TestSolarPvRecommendations:
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assert predictions_dict["sap_change_predictions"]["predictions"].tolist() == [65.9, 65.9]
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assert ending_epc["current-energy-efficiency"] == '65'
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def test_model2(self):
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data[["uprn", "sap_ending"]]
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#
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searcher = SearchEpc(
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address1="",
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postcode="",
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auth_token="a2Nvbm5rb3dsZXNzYXJAZ21haWwuY29tOjY5MGJiMWM0NmIyOGI5ZDUxYzAxMzQzYzNiZGNlZGJjZDNmODQwMzA=",
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os_api_key="",
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full_address="",
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uprn=100030952942,
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)
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searcher.find_property(False)
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ending_epc = {
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'low-energy-fixed-light-count': '', 'address': '6 Kenmare Crescent',
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'uprn-source': 'Energy Assessor', 'floor-height': '2.49', 'heating-cost-potential': '464',
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'unheated-corridor-length': '', 'hot-water-cost-potential': '46',
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'construction-age-band': 'England and Wales: 1967-1975', 'potential-energy-rating': 'B',
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'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Average', 'lighting-energy-eff': 'Very Good',
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'environment-impact-potential': '91', 'glazed-type': 'not defined', 'heating-cost-current': '535',
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'address3': '', 'mainheatcont-description': 'Programmer, room thermostat and TRVs',
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'sheating-energy-eff': 'N/A', 'property-type': 'Bungalow',
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'local-authority-label': 'West Lindsey', 'fixed-lighting-outlets-count': '9',
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'energy-tariff': 'Single', 'mechanical-ventilation': 'natural', 'hot-water-cost-current': '69',
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'county': 'Lincolnshire', 'postcode': 'DN21 1PR', 'solar-water-heating-flag': 'N',
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'constituency': 'E14000707', 'co2-emissions-potential': '0.7', 'number-heated-rooms': '3',
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'floor-description': 'Suspended, no insulation (assumed)', 'energy-consumption-potential': '56',
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'local-authority': 'E07000142', 'built-form': 'Semi-Detached', 'number-open-fireplaces': '0',
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'windows-description': 'Fully double glazed', 'glazed-area': 'Much More Than Typical',
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'inspection-date': '2022-08-24', 'mains-gas-flag': 'Y', 'co2-emiss-curr-per-floor-area': '18',
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'address1': '6 Kenmare Crescent', 'heat-loss-corridor': '', 'flat-storey-count': '',
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'constituency-label': 'Gainsborough', 'roof-energy-eff': 'Very Good', 'total-floor-area': '66.0',
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'building-reference-number': '10002845316', 'environment-impact-current': '85',
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'co2-emissions-current': '1.2', 'roof-description': 'Pitched, 300 mm loft insulation',
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'floor-energy-eff': 'N/A', 'number-habitable-rooms': '3', 'address2': '',
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'hot-water-env-eff': 'Good', 'posttown': 'GAINSBOROUGH', 'mainheatc-energy-eff': 'Good',
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'main-fuel': 'mains gas (not community)', 'lighting-env-eff': 'Very Good',
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'windows-energy-eff': 'Average', 'floor-env-eff': 'N/A', 'sheating-env-eff': 'N/A',
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'lighting-description': 'Low energy lighting in all fixed outlets', 'roof-env-eff': 'Very Good',
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'walls-energy-eff': 'Average', 'photo-supply': '40.0', 'lighting-cost-potential': '65',
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'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
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'lodgement-datetime': '2022-08-24 15:39:42', 'flat-top-storey': '', 'current-energy-rating': 'B',
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'secondheat-description': 'Room heaters, electric', 'walls-env-eff': 'Average',
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'transaction-type': 'ECO assessment', 'uprn': '100030952942', 'current-energy-efficiency': '87',
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'energy-consumption-current': '100', 'mainheat-description': 'Boiler and radiators, mains gas',
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'lighting-cost-current': '65', 'lodgement-date': '2022-08-24', 'extension-count': '0',
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'mainheatc-env-eff': 'Good',
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'lmk-key': 'e20be883431b1fed15db7fa1f52634fb7655d2b80c2fdad37df779f93ec4dafd',
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'wind-turbine-count': '0', 'tenure': 'Owner-occupied', 'floor-level': '',
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'potential-energy-efficiency': '91', 'hot-water-energy-eff': 'Good', 'low-energy-lighting': '100',
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'walls-description': 'Cavity wall, filled cavity', 'hotwater-description': 'From main system'
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}
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starting_epc = {
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'low-energy-fixed-light-count': '', 'address': '6 Kenmare Crescent', 'uprn-source': 'Energy Assessor',
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'floor-height': '2.49', 'heating-cost-potential': '464', 'unheated-corridor-length': '',
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'hot-water-cost-potential': '46', 'construction-age-band': 'England and Wales: 1967-1975',
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'potential-energy-rating': 'B', 'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Average',
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'lighting-energy-eff': 'Very Good', 'environment-impact-potential': '85', 'glazed-type': 'not defined',
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'heating-cost-current': '535', 'address3': '',
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'mainheatcont-description': 'Programmer, room thermostat and TRVs', 'sheating-energy-eff': 'N/A',
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'property-type': 'Bungalow', 'local-authority-label': 'West Lindsey', 'fixed-lighting-outlets-count': '9',
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'energy-tariff': 'Single', 'mechanical-ventilation': 'natural', 'hot-water-cost-current': '69',
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'county': 'Lincolnshire', 'postcode': 'DN21 1PR', 'solar-water-heating-flag': 'N',
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'constituency': 'E14000707', 'co2-emissions-potential': '1.2', 'number-heated-rooms': '3',
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'floor-description': 'Suspended, no insulation (assumed)', 'energy-consumption-potential': '102',
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'local-authority': 'E07000142', 'built-form': 'Semi-Detached', 'number-open-fireplaces': '0',
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'windows-description': 'Fully double glazed', 'glazed-area': 'Much More Than Typical',
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'inspection-date': '2022-05-31', 'mains-gas-flag': 'Y', 'co2-emiss-curr-per-floor-area': '40',
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'address1': '6 Kenmare Crescent', 'heat-loss-corridor': '', 'flat-storey-count': '',
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'constituency-label': 'Gainsborough', 'roof-energy-eff': 'Very Good', 'total-floor-area': '66.0',
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'building-reference-number': '10002845316', 'environment-impact-current': '68',
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'co2-emissions-current': '2.6', 'roof-description': 'Pitched, 300 mm loft insulation',
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'floor-energy-eff': 'N/A', 'number-habitable-rooms': '3', 'address2': '', 'hot-water-env-eff': 'Good',
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'posttown': 'GAINSBOROUGH', 'mainheatc-energy-eff': 'Good', 'main-fuel': 'mains gas (not community)',
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'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Average', 'floor-env-eff': 'N/A',
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'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
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'roof-env-eff': 'Very Good', 'walls-energy-eff': 'Average', 'photo-supply': '0.0',
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'lighting-cost-potential': '65', 'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '100',
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'main-heating-controls': '', 'lodgement-datetime': '2022-06-15 08:38:02', 'flat-top-storey': '',
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'current-energy-rating': 'D', 'secondheat-description': 'Room heaters, electric',
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'walls-env-eff': 'Average', 'transaction-type': 'ECO assessment', 'uprn': '100030952942',
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'current-energy-efficiency': '68', 'energy-consumption-current': '227',
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'mainheat-description': 'Boiler and radiators, mains gas', 'lighting-cost-current': '65',
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'lodgement-date': '2022-06-15', 'extension-count': '0', 'mainheatc-env-eff': 'Good',
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'lmk-key': 'ce181970b7077cb9b4626242bfb010b30a0e48541b5f22427e81f1adbeeec4f2', 'wind-turbine-count': '0',
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'tenure': 'Owner-occupied', 'floor-level': '', 'potential-energy-efficiency': '85',
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'hot-water-energy-eff': 'Good', 'low-energy-lighting': '100',
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'walls-description': 'Cavity wall, filled cavity', 'hotwater-description': 'From main system'
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}
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cleaning_data = read_dataframe_from_s3_parquet(
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bucket_name="retrofit-data-dev", file_key="sap_change_model/cleaning_dataset.parquet",
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)
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cleaned = read_from_s3(
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s3_file_name="cleaned_epc_data/cleaned.bson",
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bucket_name="retrofit-data-dev"
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)
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cleaned = msgpack.unpackb(cleaned, raw=False)
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photo_supply_lookup, floor_area_decile_thresholds = SolarPhotoSupply.load(bucket="retrofit-data-dev")
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epc = EPCRecord(
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epc_records={
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'original_epc': starting_epc,
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'full_sap_epc': {},
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'old_data': []
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},
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run_mode="newdata",
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cleaning_data=cleaning_data
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)
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home = Property(
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id=0,
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address="",
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postcode="",
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epc_record=epc,
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already_installed={},
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non_invasive_recommendations={},
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)
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home.in_conservation_area = False
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home.is_listed = False
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home.is_heritage = False
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home.restricted_measures = True
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home.get_components(
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cleaned=cleaned,
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photo_supply_lookup=photo_supply_lookup,
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floor_area_decile_thresholds=floor_area_decile_thresholds
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)
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recommender = SolarPvRecommendations(property_instance=home)
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recommender.recommend(phase=0)
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coverage_40_percent = [x for x in recommender.recommendation if x["photo_supply"] == 40]
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assert len(coverage_40_percent) == 2
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property_recommendations = Recommendations.insert_temp_recommendation_id([coverage_40_percent])
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home.create_base_difference_epc_record(cleaned_lookup=cleaned)
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home.adjust_difference_record_with_recommendations(
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property_recommendations, []
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)
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scoring_data = pd.DataFrame(home.recommendations_scoring_data).drop(
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columns=["rdsap_change", "heat_demand_change", "carbon_change", "sap_ending", "heat_demand_ending",
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"carbon_ending"]
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)
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model_api = ModelApi(portfolio_id="ashp-test", timestamp=datetime.now().isoformat())
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model_api.MODEL_PREFIXES = ["sap_change_predictions"]
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predictions_dict = model_api.predict_all(
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df=scoring_data,
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bucket="retrofit-data-dev",
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prediction_buckets={
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"sap_change_predictions": "retrofit-sap-predictions-dev",
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}
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)
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assert predictions_dict["sap_change_predictions"]["predictions"].tolist() == [87.1, 87.1]
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assert ending_epc["current-energy-efficiency"] == '87'
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assert starting_epc["current-energy-efficiency"] == '68'
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