diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 6a39e95..b4ce3bd 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -29,7 +29,7 @@ repos: types_or: [yaml, markdown, css, scss] # https://docs.astral.sh/ruff/integrations/#pre-commit - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.6.9 + rev: v0.9.4 hooks: # Run the linter - id: ruff diff --git a/poetry.lock b/poetry.lock index d32bacc..22e4abf 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand. 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hash = "sha256:26ea65a03958fa0c8a1c7e8c7a58fdc77221b8910f6be2131affade476898ad5"}, ] +[[package]] +name = "teaser" +version = "1.1.0" +description = "Tool for Energy Analysis and Simulation for Efficient Retrofit" +optional = false +python-versions = "*" +groups = ["main"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" +files = [ + {file = "teaser-1.1.0-py3-none-any.whl", hash = "sha256:37dbc322315b8b120f4be07f1bf9f0f8b42a293043159e3ee51e672dcc5f3e2d"}, + {file = "teaser-1.1.0.tar.gz", hash = "sha256:47a9bc790ea56eaf30432a4bd282499ad5f4a5920589dd5e4c181c4e6cfb639b"}, +] + +[package.dependencies] +mako = "*" +numpy = "*" +pandas = "*" +pytest = "*" + +[package.extras] +report = ["plotly"] + [[package]] name = "tomli" version = "2.2.1" description = "A lil' TOML parser" optional = false python-versions = ">=3.8" +groups = ["main", "dev"] files = [ {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"}, {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"}, @@ -1793,6 +2224,7 @@ files = [ {file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"}, {file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"}, ] +markers = {main = "python_version < \"3.11\"", dev = "python_full_version <= \"3.11.0a6\""} [[package]] name = "typing-extensions" @@ -1800,6 +2232,8 @@ version = "4.12.2" description = "Backported and Experimental Type Hints for Python 3.8+" optional = false python-versions = ">=3.8" +groups = ["main", "dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"}, {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"}, @@ -1811,6 +2245,8 @@ version = "2025.1" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"}, {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"}, @@ -1822,6 +2258,8 @@ version = "2.3.0" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main", "dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"}, {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"}, @@ -1839,6 +2277,8 @@ version = "20.29.1" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "virtualenv-20.29.1-py3-none-any.whl", hash = "sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779"}, {file = "virtualenv-20.29.1.tar.gz", hash = "sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35"}, @@ -1854,6 +2294,6 @@ docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "s test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "d4045bb738a405ad9268529baba70a4dba767a1e52c631e046b7131229c26cb8" +content-hash = "40406deeddd49a767af6ad279bebae5888ce23f754b13242320dd8ec2910f561" diff --git a/pyproject.toml b/pyproject.toml index dbd624c..ce5e376 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,23 +10,21 @@ packages = [{ include = "urbanopt_des", from = "." }] python = ">=3.10,<3.13" geopandas = "^1.0.1" # release mode -modelica-builder = "^0.6.0" +# geojson-modelica-translator = "^0.9.1" # pre-release mode, use github -# modelica-builder = { git = "https://github.com/urbanopt/modelica-builder.git", branch = "develop" } +geojson-modelica-translator = { git = "https://github.com/urbanopt/geojson-modelica-translator.git", branch = "develop" } # dev mode -# modelica-builder = { path = "../modelica-builder", develop = true } -buildingspy = "^5.1.0" +# geojson-modelica-translator = { path = "../geojson-modelica-translator", develop = true } [tool.poetry.group.dev.dependencies] -pre-commit = "^3.7.0" -autopep8 = "~2.0" -coveralls = "~3.3" -mypy = "~1.6" -pytest = "~7.4" -pytest-cov = "~4.1" +pre-commit = "~=4.0" +coveralls = "~=4.0" +mypy = "~1.14" +pytest = "~=8.3" +pytest-cov = "~6.0" [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.1"] build-backend = "poetry.core.masonry.api" # TODO: add in other Ruff configs from CBL or GMT diff --git a/tests/data/DistrictEnergySystem.mat.zip b/tests/data/DistrictEnergySystem.mat.zip index 0ae29fd..e5f19f5 100644 Binary files a/tests/data/DistrictEnergySystem.mat.zip and b/tests/data/DistrictEnergySystem.mat.zip differ diff --git a/tests/test_geojson.py b/tests/test_geojson.py index ab2fc5a..fd4c0f6 100644 --- a/tests/test_geojson.py +++ b/tests/test_geojson.py @@ -1,7 +1,7 @@ import unittest from pathlib import Path -from urbanopt_des.urbanopt_geojson import URBANoptGeoJSON +from urbanopt_des.urbanopt_geojson import DESGeoJSON class GeoJsonTest(unittest.TestCase): @@ -12,7 +12,7 @@ def setUp(self): def test_load_geojson(self): """Simple test to make sure we can load the geojson file""" filename = self.data_dir / "nrel_campus.json" - geojson = URBANoptGeoJSON(filename) + geojson = DESGeoJSON(filename) assert "Outdoor Test Facility" in geojson.get_building_names() assert "Research Support Facility" in geojson.get_building_names() diff --git a/tests/test_urbanopt_des.py b/tests/test_urbanopt_des.py index 210a08a..8f9e67a 100644 --- a/tests/test_urbanopt_des.py +++ b/tests/test_urbanopt_des.py @@ -40,10 +40,9 @@ def test_resample_and_convert_to_df(self): (self.output_dir / f"power_{interval}min.csv").unlink() data = ModelicaResults(mat_filename, self.output_dir) - data.resample_and_convert_to_df() - # This test file for some reason is missing several hours. Eventually - # use a new data file - self.assertEqual(data.min_60.shape[0], 8751) + data.resample_and_convert_to_df(["all_buildings"]) + # Should have hourly data for a full year + self.assertEqual(data.min_60.shape[0], 8761) # save the dataframes data.save_dataframes() @@ -54,3 +53,9 @@ def test_resample_and_convert_to_df(self): # check the sum of the Total Boilers, should be 1376600000 +/- 1E6 self.assertAlmostEqual(data.min_60["Total Boilers"].sum(), 1400000000, delta=1e8) + + # verify that the ETS Pump Electricity is reported in this model since + # the 4G systems should have ETS pumps now (which are in the building) + self.assertTrue("ETS Pump Electricity Total" in data.min_60.columns) + print(data.min_60["ETS Pump Electricity Total"].sum()) + self.assertGreater(data.min_60["ETS Pump Electricity Total"].sum(), 0) diff --git a/urbanopt_des/modelica_results.py b/urbanopt_des/modelica_results.py index a7100cc..58a515b 100644 --- a/urbanopt_des/modelica_results.py +++ b/urbanopt_des/modelica_results.py @@ -1,7 +1,6 @@ import json from datetime import datetime, timedelta from pathlib import Path -from typing import Union import numpy as np import pandas as pd @@ -217,8 +216,8 @@ def retrieve_variable_data(self, variable_name: str, len_of_time: int, default_v def resample_and_convert_to_df( self, - building_ids: Union[list[str], None] = None, - other_vars: Union[list[str], None] = None, + building_ids: list[str] | None = None, + other_vars: list[str] | None = None, year_of_data: int = 2017, ) -> None: """The Modelica data (self.modelica_data) are stored in a Reader object and the timesteps are non ideal for comparison across models. The method handles @@ -226,9 +225,9 @@ def resample_and_convert_to_df( then the data will be resampled to 5min, 15min, and 60min. Args: - building_ids (Union[list[str], None], optional): Name of the buildings to process out of the Modelica data. Defaults to None. - other_vars (Union[list[str], None], optional): Other variables to extract and store in the dataframe. Defaults to None. - year_of_data (int, optional): Year of the data, should match the URBANopt/OpenStudio/EnergyPlus value and correct starting day of week. Defaults to 2017. + building_ids (list[str] | None): Name of the buildings to process out of the Modelica data. Defaults to None. + other_vars (list[str] | None): Other variables to extract and store in the dataframe. Defaults to None. + year_of_data (int): Year of the data, should match the URBANopt/OpenStudio/EnergyPlus value and correct starting day of week. Defaults to 2017. Raises: Exception: errors @@ -319,7 +318,6 @@ def resample_and_convert_to_df( boiler_data: dict[str, list[float]] = {} # 1. get the variables of all the boilers boiler_vars = self.modelica_data.varNames(r"heaPla.*boiHotWat.boi.\d..QFue_flow") - print(boiler_vars) # 2. get the data for all the chillers or default to 1 pump set to 0 if len(boiler_vars) > 0: for var_id, boiler_var in enumerate(boiler_vars): @@ -332,7 +330,6 @@ def resample_and_convert_to_df( # Other heating plant data heating_plant_pumps: dict[str, list[float]] = {} - # 1. get the variables of all the condenser water pumps, which is in e.g., cooPla_67e4a0e1.pumCW.P[1] heating_plant_pumps_vars = self.modelica_data.varNames(r"heaPla.*pumHW.P.\d.") # 2. get the data for all the pumps or default to 1 pump set to 0 @@ -351,30 +348,46 @@ def resample_and_convert_to_df( agg_columns: dict[str, list[str]] = { "ETS Heat Pump Electricity Total": [], + "ETS Pump CHW Electricity Total": [], + "ETS Pump HHW Electricity Total": [], "ETS Pump Electricity Total": [], "ETS Thermal Cooling Total": [], "ETS Thermal Heating Total": [], } for n_b in range(1, n_buildings + 1): - # get the building name + # get the building name as this is what is in the Modelica results building_id = building_ids[n_b - 1] - # Note that these P.*.u variables do not have units defined in the vars, but they are Watts - ets_pump_data = self.retrieve_variable_data(f"PPumETS.u[{n_b}]", len(time1)) + + # ETS heat pump power ets_hp_data = self.retrieve_variable_data(f"PHeaPump.u[{n_b}]", len(time1)) - # Thermal Energy to buildings + # ETS pump data - disFloCoo is on the building_id, not the building number. + ets_pump_data = self.retrieve_variable_data(f"PPumETS.u[{n_b}]", len(time1)) # This is ambient / 5g pump + ets_pump_chw_data = self.retrieve_variable_data(f"TimeSerLoa_{building_id}.disFloCoo.PPum", len(time1)) + ets_pump_hhw_data = self.retrieve_variable_data(f"TimeSerLoa_{building_id}.disFloHea.PPum", len(time1)) + + # Thermal energy to buildings ets_q_cooling = self.retrieve_variable_data(f"bui[{n_b}].QCoo_flow", len(time1)) ets_q_heating = self.retrieve_variable_data(f"bui[{n_b}].QHea_flow", len(time1)) - agg_columns["ETS Pump Electricity Total"].append(f"ETS Pump Electricity Building {building_id}") - agg_columns["ETS Heat Pump Electricity Total"].append(f"ETS Heat Pump Electricity Building {building_id}") - agg_columns["ETS Thermal Cooling Total"].append(f"ETS Thermal Cooling Building {building_id}") - agg_columns["ETS Thermal Heating Total"].append(f"ETS Thermal Heating Building {building_id}") building_data[f"ETS Pump Electricity Building {building_id}"] = ets_pump_data + building_data[f"ETS Pump CHW Electricity Building {building_id}"] = ets_pump_chw_data + building_data[f"ETS Pump HHW Electricity Building {building_id}"] = ets_pump_hhw_data building_data[f"ETS Heat Pump Electricity Building {building_id}"] = ets_hp_data building_data[f"ETS Thermal Cooling Building {building_id}"] = ets_q_cooling building_data[f"ETS Thermal Heating Building {building_id}"] = ets_q_heating + # Add variables to aggregations - these keys have to be defined above too. + # ETS Pump has CHW, HHW, and then total. -- total includes ambient + hhw + chw + agg_columns["ETS Heat Pump Electricity Total"].append(f"ETS Heat Pump Electricity Building {building_id}") + agg_columns["ETS Pump CHW Electricity Total"].append(f"ETS Pump CHW Electricity Building {building_id}") + agg_columns["ETS Pump HHW Electricity Total"].append(f"ETS Pump CHW Electricity Building {building_id}") + agg_columns["ETS Pump Electricity Total"].append(f"ETS Pump Electricity Building {building_id}") + agg_columns["ETS Pump Electricity Total"].append(f"ETS Pump CHW Electricity Building {building_id}") + agg_columns["ETS Pump Electricity Total"].append(f"ETS Pump HHW Electricity Building {building_id}") + agg_columns["ETS Thermal Cooling Total"].append(f"ETS Thermal Cooling Building {building_id}") + agg_columns["ETS Thermal Heating Total"].append(f"ETS Thermal Heating Building {building_id}") + # Add in chiller aggregations agg_columns["Chillers Total"] = [] for n_c in range(1, len(chiller_data.keys()) + 1): @@ -480,7 +493,7 @@ def resample_and_convert_to_df( def combine_with_openstudio_results( self, - building_ids: Union[list[str], None], + building_ids: list[str] | None, openstudio_df: pd.DataFrame, openstudio_df_15: pd.DataFrame, ) -> None: @@ -489,7 +502,7 @@ def combine_with_openstudio_results( HVAC related. Args: - building_ids (Union[list[str], None]): Name of the buildings + building_ids (list[str] | None): Name of the buildings openstudio_df (pd.DataFrame): dataframe of URBANopt/OpenStudio hourly results openstudio_df_15 (pd.DataFrame): dataframe of URBANopt/OpenStudio 15min results Returns: diff --git a/urbanopt_des/urbanopt_analysis.py b/urbanopt_des/urbanopt_analysis.py index 21960de..108d16a 100644 --- a/urbanopt_des/urbanopt_analysis.py +++ b/urbanopt_des/urbanopt_analysis.py @@ -4,13 +4,12 @@ import json import math from pathlib import Path -from typing import Tuple, Union import pandas as pd from .emissions import HourlyEmissionsData from .modelica_results import ModelicaResults -from .urbanopt_geojson import URBANoptGeoJSON +from .urbanopt_geojson import DESGeoJSON from .urbanopt_results import URBANoptResults @@ -35,7 +34,7 @@ def __init__(self, geojson_file: Path, analysis_dir: Path, year_of_data: int = 2 """ self.geojson_file = geojson_file if geojson_file.exists(): - self.geojson = URBANoptGeoJSON(geojson_file) + self.geojson = DESGeoJSON(geojson_file) else: raise Exception(f"GeoJSON file does not exist: {geojson_file}") @@ -276,8 +275,6 @@ def resample_actual_data(self) -> None: for building_id in self.geojson.get_building_ids(): meters = self.geojson.get_meters_for_building(building_id) for meter in meters: - # print(f"Processing meter {meter} for building {building_id}") - meter_readings = self.geojson.get_meter_readings_for_building(building_id, meter) # add the meter_type to all the json objects [meter_reading.update({"meter_type": meter, "building_id": building_id}) for meter_reading in meter_readings] @@ -342,8 +339,8 @@ def resample_actual_data(self) -> None: def resample_and_convert_modelica_results( self, - building_ids: Union[list[str], None] = None, - other_vars: Union[list[str], None] = None, + building_ids: list[str] | None = None, + other_vars: list[str] | None = None, ) -> None: """Run the resample and convert method for each of the analyses in the modelica object @@ -756,7 +753,7 @@ def update_geojson_from_seed_data(self, **kwargs) -> dict: } new_dict = None - # load the GeoJSON file as a dictionary, NOT an URBANoptGeoJSON object. + # load the GeoJSON file as a dictionary, NOT an DESGeoJSON object. with open(self.geojson_file) as f: geojson = json.load(f) # insert project dict and move to after the type object @@ -1168,7 +1165,7 @@ def create_summary_results(self) -> None: return True @classmethod - def get_list_of_valid_result_folders(cls, root_analysis_path: Path) -> Tuple[dict, dict]: + def get_list_of_valid_result_folders(cls, root_analysis_path: Path) -> (dict, dict): """Parse through the root_analysis_path and return a dict of valid result folders that can be loaded and processed. Also return dict of folders that have simulation errors or empty results @@ -1177,7 +1174,7 @@ def get_list_of_valid_result_folders(cls, root_analysis_path: Path) -> Tuple[dic root_analysis_path (Path): Analysis folder to analyze. Returns: - Tuple[list, list]: Tuple of lists, first is a dict of valid results, second list is bad or empty results + (dict, dict): Tuple of dicts, first is a dict of valid results, second is bad or empty results """ results = {} bad_or_empty_results = {} diff --git a/urbanopt_des/urbanopt_geojson.py b/urbanopt_des/urbanopt_geojson.py index cd41a77..cf95f9f 100644 --- a/urbanopt_des/urbanopt_geojson.py +++ b/urbanopt_des/urbanopt_geojson.py @@ -1,143 +1,15 @@ import json import tempfile from pathlib import Path -from typing import Union +from geojson_modelica_translator.geojson.urbanopt_geojson import UrbanOptGeoJson from geopandas import GeoDataFrame from shapely.geometry import box -class URBANoptGeoJSON: - def __init__(self, filename: Path): - self._filename = filename - self.data = None - - # read in the JSON file and store it in data - with open(filename) as f: - self.data = json.load(f) - - def get_building_paths(self, scenario_name: str) -> list[Path]: - """Return a list of Path objects for the building GeoJSON files""" - result = [] - for feature in self.data["features"]: - if feature["properties"]["type"] == "Building": - building_path = self._filename.parent / "run" / scenario_name / feature["properties"]["id"] - result.append(building_path) - # result.append(Path(feature["properties"]["file"])) - - # verify that the paths exist - for path in result: - if not path.exists(): - raise FileNotFoundError(f"File not found: {path}") - - return result - - def get_building_ids(self) -> list: - """Return a list of building names""" - result = [] - for feature in self.data["features"]: - if "type" in feature["properties"] and feature["properties"]["type"] == "Building": - result.append(feature["properties"]["id"]) - elif "name" in feature["properties"] and feature["properties"]["name"] == "Site Origin": - pass - else: - # need to implement a reasonable logger. - pass - # print(f"Feature does not have a type Building: {feature}") - # print("Did you forget to call the `update_geojson_from_seed_data` method?") - - return result - - def get_building_names(self) -> list: - """Return a list of building names. Typically this field is only used for visual display name only.""" - result = [] - for feature in self.data["features"]: - if feature["properties"]["type"] == "Building": - result.append(feature["properties"]["name"]) - - return result - - def get_buildings(self, ids: Union[list[str], None] = None) -> list: - """Return a list of all the properties of type Building""" - result = [] - for feature in self.data["features"]: - if feature["properties"]["type"] == "Building" and (ids is None or feature["properties"]["id"] in ids): - # TODO: eventually add a list of building ids to keep, for now it - # will be all buildings. - result.append(feature) - - return result - - def get_building_properties_by_id(self, building_id: str) -> dict: - """Get the list of building ids in the GeoJSON file. The Building id is what - is used in URBANopt as the identifier. It is common that this is used to name - the building, more than the GeoJSON's building name field. - - Args: - building_id (str): building id, this is the property.id values in the geojson's feature - - Returns: - dict: building properties - """ - result = {} - for feature in self.data["features"]: - if feature["properties"]["type"] == "Building" and feature["properties"]["id"] == building_id: - result = feature["properties"] - - return result - - def get_meters_for_building(self, building_id: str) -> list: - """Return a list of meters for the building_id""" - result = [] - for feature in self.data["features"]: - if feature["properties"]["type"] == "Building" and feature["properties"]["id"] == building_id: - for meter in feature["properties"].get("meters", []): - result.append(meter["type"]) - - return result - - def get_meter_readings_for_building(self, building_id: str, meter_type: str) -> list: - """Return a list of meter readings for the building_id""" - result = [] - for feature in self.data["features"]: - if feature["properties"]["type"] == "Building" and feature["properties"]["id"] == building_id: - for meter in feature["properties"].get("meters", []): - if meter["type"] == meter_type: - result = meter["readings"] - - return result - - def get_monthly_readings(self, building_id: str, meter_type: str) -> list: - """Return a list of monthly electricity consumption for the building_id""" - result = [] - for feature in self.data["features"]: - if feature["properties"]["type"] == "Building" and feature["properties"]["id"] == building_id: - result = feature["properties"]["monthly_electricity"] - - return result - - def set_property_on_building_id(self, building_id: str, property_name: str, property_value: str, overwrite=True) -> None: - """Set a property on a building_id""" - for feature in self.data["features"]: - if ( - feature["properties"]["type"] == "Building" - and feature["properties"]["id"] == building_id - and (overwrite or property_name not in feature["properties"]) - ): - feature["properties"][property_name] = property_value - - def get_property_on_building_id(self, building_id: str, property_name: str) -> str: - """Get a property on a building_id""" - for feature in self.data["features"]: - if feature["properties"]["type"] == "Building" and feature["properties"]["id"] == building_id: - return feature["properties"].get(property_name, None) - - def get_site_lat_lon(self) -> tuple: - """Return the site's latitude and longitude""" - for feature in self.data["features"]: - if feature["properties"]["name"] == "Site Origin": - # reverse the order of the coordinates - return feature["geometry"]["coordinates"][::-1] +class DESGeoJSON(UrbanOptGeoJson): + def __init__(self, filename: Path, building_ids=None, skip_validation=False): + super().__init__(filename, building_ids, skip_validation) def create_aggregated_representation(self, building_names: list[str]) -> None: """Go through the GeoJSON file and if it is of type Building, then aggregate the characteristics. @@ -209,12 +81,3 @@ def create_aggregated_representation(self, building_names: list[str]) -> None: gdf_2["project"] = project_data return gdf_2 - - def save(self) -> None: - """Save the GeoJSON file""" - self.save_as(self._filename) - - def save_as(self, filename: Path) -> None: - """Save the GeoJSON file""" - with open(filename, "w") as f: - json.dump(self.data, f, indent=2)