From d31b094d8c6d65ca791541be3fb5447a92481a47 Mon Sep 17 00:00:00 2001 From: TShapinsky Date: Wed, 6 Dec 2023 10:49:30 -0700 Subject: [PATCH] clean up dependencies and remove depricated components --- alfalfa_client/alfalfa_client.py | 1 - alfalfa_client/historian.py | 151 ---- poetry.lock | 1307 +++++++++++++----------------- pyproject.toml | 12 +- tests/test_alfalfa_client.py | 47 -- 5 files changed, 567 insertions(+), 951 deletions(-) delete mode 100644 alfalfa_client/historian.py delete mode 100644 tests/test_alfalfa_client.py diff --git a/alfalfa_client/alfalfa_client.py b/alfalfa_client/alfalfa_client.py index a36c47d..4b8c56b 100644 --- a/alfalfa_client/alfalfa_client.py +++ b/alfalfa_client/alfalfa_client.py @@ -26,7 +26,6 @@ # OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # **************************************************************************************************** -import functools import json import os from collections import OrderedDict diff --git a/alfalfa_client/historian.py b/alfalfa_client/historian.py deleted file mode 100644 index 1dc995b..0000000 --- a/alfalfa_client/historian.py +++ /dev/null @@ -1,151 +0,0 @@ -# **************************************************************************************************** -# :copyright (c) 2008-2021 URBANopt, Alliance for Sustainable Energy, LLC, and other contributors. - -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without modification, are permitted -# provided that the following conditions are met: - -# Redistributions of source code must retain the above copyright notice, this list of conditions -# and the following disclaimer. - -# Redistributions in binary form must reproduce the above copyright notice, this list of conditions -# and the following disclaimer in the documentation and/or other materials provided with the -# distribution. - -# Neither the name of the copyright holder nor the names of its contributors may be used to endorse -# or promote products derived from this software without specific prior written permission. - -# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR -# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND -# FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL -# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, -# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER -# IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT -# OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -# **************************************************************************************************** - - -# Credit: Nicholas Long - -import os - -import pandas as pd - - -class Historian(object): - def __init__(self, time_step=1): - """ - :param time_step: int, time step in minutes - """ - self.data = {} - self.name_map = {} - self.units = {} - self.conversion_map = {} - self.time_step = time_step - - def add_point(self, name, units, point_name, f_conversion=None): - """ - Add a point to store to the historian - :param name: string, name of the datapoint. Must be convertible into dict key and dataframe column - :param units: string, units in which the values are stored - :param point_name: string, name of the point to extract from the model output dictionary from Alfalfa - :param f_conversion: function pointer, function to call to convert the value - :return: - """ - if name in self.data.keys(): - raise Exception(f'Historian point already exists for {name}') - - self.data[name] = [] - self.conversion_map[name] = f_conversion - self.units[name] = units - - if point_name is not None: - if point_name in self.name_map.keys(): - raise Exception(f'Point name in name map already exists for {point_name}') - - self.name_map[point_name] = name - - def add_data(self, values): - """ - Append the data in the fields into the mapped column names. Pulls data out of values and - into the historian. - :param values: dict - """ - - for point_name, value in values.items(): - if point_name in self.name_map: - name = self.name_map[point_name] - # print(f"name {name} and point {point_name} with value {value}") - f = self.conversion_map[name] if self.conversion_map[name] is not None else None - if f: - value = f(value) - self.data[name].append(value) - else: - # point_name is not registered in historian, skipping - pass - - def add_datum(self, name, value): - f = self.conversion_map[name] if self.conversion_map[name] is not None else None - - if f: - value = f(value) - self.data[name].append(value) - - def rm_incorrect_length_vals_from_data(self): - num_timesteps = len(self.data['timestamp']) - to_rm = [] - for point, data in self.data.items(): - if len(data) != num_timesteps: - to_rm.append(point) - for p in to_rm: - self.data.pop(p) - - def to_df(self): - # create the time index - f = '{}T'.format(self.time_step) - ind = pd.date_range( - start=self.data['timestamp'][0], end=self.data['timestamp'][-1], freq=f - ) - return pd.DataFrame(self.data, index=ind) - - def save_csv(self, filepath, filename): - os.makedirs(filepath, exist_ok=True) - - self.to_df().to_csv(f'{filepath}/{filename}') - - def save_pickle(self, filepath, filename): - os.makedirs(filepath, exist_ok=True) - - self.to_df().to_pickle(f'{filepath}/{filename}') - - def evaluate_performance(self): - """ - Return the overall performance of the control - Assumptions: - * Timestep is 5 Minutes - * Occupied hours are between 0800 and 1800 - :return: dict of performance indicators - """ - df = self.to_df() - df_occ_hours = df.between_time('08:00', '18:00') - - total_hours = len(df.index) / 12 - total_hours_occupied = len(df_occ_hours.index) / 12 - total_hvac_energy = df.sum(axis=0)['TotalHVACPower'] / 12 / 1000 # kwh - total_hvac_energy_occupied = df_occ_hours.sum(axis=0)['TotalHVACPower'] / 12 / 1000 # kwh - average_ppd = df.mean(axis=0)['PPD'] - average_ppd_occupied = df_occ_hours.mean(axis=0)['PPD'] - # average_ppd_occupied = df_occ_hours.mean(axis=0)['PPD'] # this is not valuable - - return { - 'start_time': df['timestamp'].iloc[0].strftime('%m/%d/%Y %H:%M:%S'), - 'end_time': df['timestamp'].iloc[-1].strftime('%m/%d/%Y %H:%M:%S'), - 'total_hours': total_hours, - 'total_hours_occupied': total_hours_occupied, - 'total_hvac_energy': total_hvac_energy, - 'total_hvac_energy_occupied': total_hvac_energy_occupied, - 'average_ppd': average_ppd, - 'average_ppd_occupied': average_ppd_occupied, - } diff --git a/poetry.lock b/poetry.lock index c528f67..a070d28 100644 --- a/poetry.lock +++ b/poetry.lock @@ -26,55 +26,60 @@ files = [ [[package]] name = "asttokens" -version = "2.2.1" +version = "2.4.1" description = "Annotate AST trees with source code positions" category = "dev" optional = false python-versions = "*" files = [ - {file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = 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@@ license = 'LICENSE.txt' [tool.poetry.dependencies] python = ">=3.8" -hszinc = "~1.3" -importlib-metadata = "~6.0" -pandas = "~1.5" -requests-toolbelt = "~0.10" - -[tool.poetry.dev-dependencies] -pre-commit = "~2.21" -pytest = "~7.2" -tox = "~4.1" +requests-toolbelt = "~1.0" [tool.poetry.group.dev.dependencies] ipykernel = "^6.21.2" sphinx = "^6.1.3" +pre-commit = "~2.21" +pytest = "~7.2" [build-system] diff --git a/tests/test_alfalfa_client.py b/tests/test_alfalfa_client.py deleted file mode 100644 index 503d51a..0000000 --- a/tests/test_alfalfa_client.py +++ /dev/null @@ -1,47 +0,0 @@ -""" -**************************************************************************************************** -:copyright (c) 2008-2021 URBANopt, Alliance for Sustainable Energy, LLC, and other contributors. - -All rights reserved. - -Redistribution and use in source and binary forms, with or without modification, are permitted -provided that the following conditions are met: - -Redistributions of source code must retain the above copyright notice, this list of conditions -and the following disclaimer. - -Redistributions in binary form must reproduce the above copyright notice, this list of conditions -and the following disclaimer in the documentation and/or other materials provided with the -distribution. - -Neither the name of the copyright holder nor the names of its contributors may be used to endorse -or promote products derived from this software without specific prior written permission. - -THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR -IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND -FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL -DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, -DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER -IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT -OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -**************************************************************************************************** -""" - - -import alfalfa_client.alfalfa_client as ac -import alfalfa_client.historian as ah - - -class TestAlfalfaClient: - def test_instantiation(self): - client = ac.AlfalfaClient() - assert client is not None - assert client.url == 'http://localhost/api/v2/' - - -class TestHistorian: - def test_historian_instantiation(self): - hist = ah.Historian() - assert hist is not None - assert hist.time_step == 1