test: Use fake profile data instead of test_usa_tamu #586
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| import numpy as np | ||
| import pandas as pd | ||
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| from powersimdata.input.grid import Grid | ||
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| class MockInputData: | ||
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| """ | ||
| MockInputData is a mock of powersimdata.input.input_data.InputData | ||
| that generates random profiles. | ||
| Exactly 3 of {`start_time`, `end_time`, `periods`, `freq`} must be specified. See <https://pandas.pydata.org/docs/reference/api/pandas.date_range.html>. | ||
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| :param powersimdata.input.grid.Grid grid: instance of Grid object. | ||
| :param str start_time: when profiles begin. | ||
| :param str end_time: when profiles end. | ||
| :param int periods: number of times in profile. | ||
| :param str freq: frequency of times in profile. | ||
| :param int random_seed: used to initialize the random generator. | ||
| :raises ValueError: raised if `field_name` specified in `get_data()` is not specified by this mock | ||
| :return: (*powersimdata.tests.mock_input_data.MockInputData*) | ||
| """ | ||
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| _RESOURCES = { | ||
| "wind": {"wind", "wind_offshore"}, | ||
| "solar": {"solar"}, | ||
| "hydro": {"hydro"}, | ||
| } | ||
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| def __init__( | ||
| self, | ||
| grid: Grid, | ||
| start_time="2016-01-01 00:00:00", | ||
| end_time=None, | ||
| periods=24, | ||
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| freq="H", | ||
| random_seed=6669, | ||
| ): | ||
| self._grid = grid | ||
| self._start_time = start_time | ||
| self._end_time = end_time | ||
| self._periods = periods | ||
| self._freq = freq | ||
| self._random = np.random.default_rng(seed=random_seed) | ||
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| self._profiles = { | ||
| "demand": self._get_demand(), | ||
| **{ | ||
| resource: self._get_resource_profile(resource) | ||
| for resource in self._RESOURCES.keys() | ||
| }, | ||
| } | ||
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| def get_data(self, scenario_info, field_name): | ||
| """Returns fake profile data. | ||
| :param dict scenario_info: not used. | ||
| :param str field_name: Can be any of *'demand'*, *'hydro'*, *'solar'*, or *'wind'*. | ||
| :return: (*pandas.DataFrame*) -- fake profile data | ||
| """ | ||
| profile = self._profiles.get(field_name) | ||
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| if profile is None: | ||
| raise ValueError(f"No profile specified for {field_name}!") | ||
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| return profile | ||
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| def _get_demand(self): | ||
| """Returns fake demand data. | ||
| :return: (*pandas.DataFrame*) -- fake demand data | ||
| """ | ||
| zone_ids = set(self._grid.plant["zone_id"]) | ||
| fake_demand_profile = self._create_fake_profile(zone_ids) | ||
| return fake_demand_profile | ||
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| def _get_resource_profile(self, resource_type): | ||
| """Returns fake data for given resource_type. | ||
| :param str resource_type: Can be any of *'hydro'*, *'solar'*, or *'wind'*. | ||
| :return: (*pandas.DataFrame*) -- fake data for resource | ||
| """ | ||
| plant_ids = self._get_plant_ids_for_type(resource_type) | ||
| fake_resource_profile = self._create_fake_profile(plant_ids) | ||
| return fake_resource_profile | ||
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| def _get_plant_ids_for_type(self, resource_type): | ||
| """Retrieves plant_ids for plants of `resource_type` from the grid. | ||
| :param str resource_type: Can be any of *'hydro'*, *'solar'*, or *'wind'*. | ||
| :return: (*list*) -- list of plant_ids | ||
| """ | ||
| plant_ids = list( | ||
| self._grid.plant.query("type in @self._RESOURCES[@resource_type]").index | ||
| ) | ||
| return plant_ids | ||
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| def _create_fake_profile(self, columns): | ||
| """Generates a fake profile. | ||
| :param list columns: columns for the DataFrame | ||
| :return: (*pandas.DataFrame*) -- a fake profile | ||
| """ | ||
| times = pd.date_range( | ||
| start=self._start_time, | ||
| end=self._end_time, | ||
| periods=self._periods, | ||
| freq=self._freq, | ||
| ) | ||
| index = pd.Index(times, name="UTC Time") | ||
| data = self._random.uniform(low=0, high=1, size=(len(times), len(columns))) | ||
| fake_profile = pd.DataFrame(data=data, index=index, columns=columns) | ||
| return fake_profile | ||
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This is clean.