(v3.6.2) - EPW processing: Replace opyplus module by epw (#450)

* Poetry: opyplus dependency replaced by epw module

* Common: deleted commented opyplus import and function

* Modeling: Replace opyplus functionality by epw module

* Update environemts configuration weather variable names (in mock test too)

* Update Sinergym version from 3.6.1 to 3.6.2

* Fix tests

* Documentation: Update epw variable names list

* Updating comment in modeling

docs/source/pages/environments.rst

@@ -95,9 +95,29 @@ to introduce **noise** to the weather data episode to episode. Then, the paramet
 established is a Python dictionary with the EPW column name as key and tuple of three variables (*sigma*, *mu*, and *tau*) whose 
 as value, defining the nature of that noise. This allows to apply different noise in several aspects of the weather data.
 
-.. note:: The weather data columns or variables names is generated with opyplus WeatherData class, 
-          for more information about the available variables in an EPW file, visit 
-          `Opyplus documentation <https://opyplus.readthedocs.io/en/2.0.7/quickstart/index.html#weather-data-epw-file>`__. 
+Since Sinergym v3.6.2, the weather data columns or variables names is generated with 
+`epw module Weather class <https://pypi.org/project/epw/>`__, the list of the
+available variable names is the next:
+
+- ``Year``, ``Month``, ``Day``, ``Hour``, ``Minute``,
+  ``Data Source and Uncertainty Flags``, ``Dry Bulb Temperature``,
+  ``Dew Point Temperature``, ``Relative Humidity``,
+  ``Atmospheric Station Pressure``, ``Extraterrestrial Horizontal Radiation``,
+  ``Extraterrestrial Direct Normal Radiation``,
+  ``Horizontal Infrared Radiation Intensity``,
+  ``Global Horizontal Radiation``, ``Direct Normal Radiation``,
+  ``Diffuse Horizontal Radiation``, ``Global Horizontal Illuminance``,
+  ``Direct Normal Illuminance``, ``Diffuse Horizontal Illuminance``,
+  ``Zenith Luminance``, ``Wind Direction``, ``Wind Speed``, ``Total Sky Cover``,
+  ``Opaque Sky Cover (used if Horizontal IR Intensity missing)``,
+  ``Visibility``, ``Ceiling Height``, ``Present Weather Observation``,
+  ``Present Weather Codes``, ``Precipitable Water``, ``Aerosol Optical Depth``,
+  ``Snow Depth``, ``Days Since Last Snowfall``, ``Albedo``,
+  ``Liquid Precipitation Depth``, ``Liquid Precipitation Quantity``
+
+If you are using an older version of Sinergym, the weather data columns or variables names is generated with 
+*opyplus WeatherData class*, for more information about the available variable names with opyplus, visit 
+`Opyplus documentation <https://opyplus.readthedocs.io/en/2.0.7/quickstart/index.html#weather-data-epw-file>`__.
 
 .. image:: /_static/ornstein_noise.png
   :scale: 80 %

pyproject.toml

@@ -6,7 +6,7 @@
 package-mode = true
 name = "sinergym"
 
-version = "3.6.1"
+version = "3.6.2"
 description = "The goal of sinergym is to create an environment following OpenAI Gym interface for wrapping simulation engines for building control using deep reinforcement learning."
 license = "MIT"
 
@@ -62,7 +62,7 @@ pandas = "^2.2.2"
 eppy = "^0.5.63"
 tqdm = "^4.66.5"
 xlsxwriter = "^3.2.0"
-opyplus = "^2.0.7"
+epw = "^1.2.dev2"
 
 # Extra dependencies (optional)
 pytest = { version = "^8.3.3", optional = true }

sinergym/config/modeling.py

@@ -9,7 +9,7 @@
 
 import numpy as np
 from eppy.modeleditor import IDF
-from opyplus import WeatherData
+from epw.weather import Weather
 
 from sinergym.utils.common import eppy_element_to_dict, get_delta_seconds
 from sinergym.utils.constants import (CWD, LOG_MODEL_LEVEL, PKG_DATA_PATH,
@@ -34,7 +34,7 @@ class ModelJSON(object):
         :param config: Dict config with extra configuration which is required to modify building model (may be None).
         :param building: Building model (Dictionary extracted from JSON).
         :param ddy_model: eppy object with DDY model.
-        :param weather_data: opyplus WeatherData object with EPW data.
+        :param weather_data: epw module Weather class instance with EPW data.
         :param zone_names: List of the zone names available in the building.
         :param schedulers: Information in Dict format about all building schedulers.
         :param runperiod: Information in Dict format about runperiod that determine an episode.
@@ -99,8 +99,9 @@ def __init__(
         IDF.setiddname(self._idd)
         self.ddy_model = IDF(self._ddy_path)
 
-        # Weather data (opyplus object)
-        self.weather_data = WeatherData.from_epw(self._weather_path)
+        # Weather data (epw.weather object)
+        self.weather_data = Weather()
+        self.weather_data.read(self._weather_path)
 
         # ----------------------------- Other attributes ----------------------------- #
 
@@ -309,7 +310,7 @@ def update_weather_path(self) -> None:
             self.pkg_data_path, 'weather', random.choice(self.weather_files))
         self._ddy_path = self._weather_path.split('.epw')[0] + '.ddy'
         self.ddy_model = IDF(self._ddy_path)
-        self.weather_data = WeatherData.from_epw(self._weather_path)
+        self.weather_data.read(self._weather_path)
         self.logger.info(
             'Weather file {} used.'.format(
                 self._weather_path.split('/')[-1]))
@@ -332,14 +333,11 @@ def apply_weather_variability(
         # Apply variation to EPW if exists
         if weather_variability is not None:
 
-            # Get dataframe with weather series
-            df = weather_data_mod.get_weather_series()
-
             T = 1.  # Total time.
             # All the columns are going to have the same num of rows since they are
             # in the same dataframe
             # get first column of df
-            n = df.shape[0]
+            n = weather_data_mod.dataframe.shape[0]
             dt = T / n
             # t = np.linspace(0., T, n)  # Vector of times.
 
@@ -359,10 +357,7 @@ def apply_weather_variability(
                         sigma_bis * sqrtdt * np.random.randn()
 
                 # Add noise
-                df[variable] += noise
-
-            # Save new weather data
-            weather_data_mod.set_weather_series(df)
+                weather_data_mod.dataframe[variable] += noise
 
             self.logger.info(
                 'Weather noise applied in columns: {}'.format(
@@ -374,7 +369,7 @@ def apply_weather_variability(
             filename += '_OU_Noise.epw'
 
         episode_weather_path = self.episode_path + '/' + filename
-        weather_data_mod.to_epw(episode_weather_path)
+        weather_data_mod.write(episode_weather_path)
 
         self.logger.debug(
             'Saving episode weather path... [{}]'.format(episode_weather_path))

sinergym/data/default_configuration/1ZoneDataCenterCRAC_wApproachTemp.json

@@ -14,7 +14,7 @@
     "config_params"          : null,
 
     "weather_variability":{
-        "drybulb": [1.0, 0.0, 0.001]
+        "Dry Bulb Temperature": [1.0, 0.0, 0.001]
     },
 
     "max_ep_data_store_num" : 10,

sinergym/data/default_configuration/2ZoneDataCenterHVAC_wEconomizer.json

@@ -14,7 +14,7 @@
     "config_params"          : null,
 
     "weather_variability":{
-        "drybulb": [1.0, 0.0, 0.001]
+        "Dry Bulb Temperature": [1.0, 0.0, 0.001]
     },
 
     "max_ep_data_store_num" : 10,

sinergym/data/default_configuration/5ZoneAutoDXVAV.json

@@ -14,7 +14,7 @@
     "config_params"          : null,
 
     "weather_variability":{
-        "drybulb": [1.0, 0.0, 0.001]
+        "Dry Bulb Temperature": [1.0, 0.0, 0.001]
     },
 
     "max_ep_data_store_num" : 10,

sinergym/data/default_configuration/ASHRAE901_OfficeMedium_STD2019_Denver.json

@@ -14,7 +14,7 @@
     "config_params"          : null,
 
     "weather_variability":{
-        "drybulb": [1.0, 0.0, 0.001]
+        "Dry Bulb Temperature": [1.0, 0.0, 0.001]
     },
 
     "max_ep_data_store_num" : 10,

sinergym/data/default_configuration/ASHRAE901_Warehouse_STD2019_Denver.json

@@ -14,7 +14,7 @@
     "config_params"          : null,
 
     "weather_variability":{
-        "drybulb": [1.0, 0.0, 0.001]
+        "Dry Bulb Temperature": [1.0, 0.0, 0.001]
     },
 
     "max_ep_data_store_num" : 10,

sinergym/data/default_configuration/LrgOff_GridStorageScheduled.json

@@ -14,7 +14,7 @@
     "config_params"          : null,
 
     "weather_variability":{
-        "drybulb": [1.0, 0.0, 0.001]
+        "Dry Bulb Temperature": [1.0, 0.0, 0.001]
     },
 
     "max_ep_data_store_num" : 10,

sinergym/data/default_configuration/ShopWithPVandBattery.json

@@ -14,7 +14,7 @@
     "config_params"          : null,
 
     "weather_variability":{
-        "drybulb": [1.0, 0.0, 0.001]
+        "Dry Bulb Temperature": [1.0, 0.0, 0.001]
     },
 
     "max_ep_data_store_num" : 10,

sinergym/data/default_configuration/radiant_residential_building.json

@@ -15,7 +15,7 @@
     "config_params"          : null,
 
     "weather_variability":{
-        "drybulb": [1.0, 0.0, 0.001]
+        "Dry Bulb Temperature": [1.0, 0.0, 0.001]
     },
 
     "max_ep_data_store_num" : 10,

sinergym/utils/common.py

@@ -13,8 +13,6 @@
 from sinergym.utils.logger import TerminalLogger
 from sinergym.utils.rewards import *
 
-# from opyplus.epgm.record import Record
-
 logger = TerminalLogger().getLogger(
     name='COMMON',
     level=LOG_COMMON_LEVEL)
@@ -413,16 +411,3 @@ def convert_conf_to_env_parameters(
 #                     if np.max(data[column]) > result[column][1]:
 #                         result[column][1] = np.max(data[column])
 #     return result
-
-
-# def get_record_keys(record: Record) -> List[str]:
-#     """Given an opyplus Epm Record (one element from opyplus.epm object) this function returns list of keys (opyplus hasn't got this functionality explicitly)
-
-#      Args:
-#         record (opyplus.Epm.Record): Element from Epm object.
-
-#      Returns:
-#         List[str]: Key list from record.
-#     """
-# return [field.ref for field in
-# record._table._dev_descriptor._field_descriptors]

sinergym/version.txt

@@ -1 +1 @@
-3.6.1
+3.6.2

tests/conftest.py

@@ -5,7 +5,7 @@
 
 import pkg_resources
 import pytest
-from opyplus import WeatherData
+from epw.weather import Weather
 
 import sinergym
 from sinergym.config.modeling import ModelJSON
@@ -357,7 +357,11 @@ def env_5zone_stochastic(
         variables=VARIABLES_5ZONE,
         meters=METERS_5ZONE,
         actuators=ACTUATORS_5ZONE,
-        weather_variability={'drybulb': (1.0, 0.0, 0.001)},
+        weather_variability={
+            'Dry Bulb Temperature': (
+                1.0,
+                0.0,
+                0.001)},
         reward=LinearReward,
         reward_kwargs={
             'temperature_variables': ['air_temperature'],
@@ -370,9 +374,13 @@ def env_5zone_stochastic(
                 26.0)},
         env_name='TESTGYM',
         config_params={
-            'runperiod': (1, 1, 1991, 31, 3, 1991)
-        }
-    )
+            'runperiod': (
+                1,
+                1,
+                1991,
+                31,
+                3,
+                1991)})
     return env
 
 
@@ -595,7 +603,9 @@ def building(json_path_5zone):
 
 @ pytest.fixture(scope='function')
 def weather_data(weather_path_pittsburgh):
-    return WeatherData.from_epw(weather_path_pittsburgh)
+    weather_data = Weather()
+    weather_data.read(weather_path_pittsburgh)
+    return weather_data
 
 # ---------------------------------------------------------------------------- #
 #                                    Rewards                                   #

tests/mock/environment_configurations/5ZoneAutoDXVAV.json

@@ -14,7 +14,7 @@
     "config_params"          : null,
 
     "weather_variability":{
-        "drybulb": [1.0, 0.0, 0.001]
+        "Dry Bulb Temperature": [1.0, 0.0, 0.001]
     },
 
     "max_ep_data_store_num" : 10,