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Add get_solargis iotools function (pvlib#1969)
* Initial commit * Linting * Include v0.10.4 whatsnew * Add example * Update raises message * Update doc section order * Set parser to etree * Add tests * Add test skip for pandas<1.3.0 * Fix nan replacement and add variable conversion * Add time_resolution conversion * Fix precipitable_water conversion in solcast * Address reviewer comments * Fix test issues * Update pandas version in ci/requirements*.yml * Update test_solcast.py * Advance numpy requirement
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| """Functions to retrieve and parse irradiance data from Solargis.""" | ||
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| import pandas as pd | ||
| import requests | ||
| from dataclasses import dataclass | ||
| import io | ||
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| URL = 'https://solargis.info/ws/rest/datadelivery/request' | ||
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| TIME_RESOLUTION_MAP = { | ||
| 5: 'MIN_5', 10: 'MIN_10', 15: 'MIN_15', 30: 'MIN_30', 60: 'HOURLY', | ||
| 'PT05M': 'MIN_5', 'PT5M': 'MIN_5', 'PT10M': 'MIN_10', 'PT15M': 'MIN_15', | ||
| 'PT30': 'MIN_30', 'PT60M': 'HOURLY', 'PT1H': 'HOURLY', 'P1D': 'DAILY', | ||
| 'P1M': 'MONTHLY', 'P1Y': 'YEARLY'} | ||
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| @dataclass | ||
| class ParameterMap: | ||
| solargis_name: str | ||
| pvlib_name: str | ||
| conversion: callable = lambda x: x | ||
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| # define the conventions between Solargis and pvlib nomenclature and units | ||
| VARIABLE_MAP = [ | ||
| # Irradiance (unit varies based on time resolution) | ||
| ParameterMap('GHI', 'ghi'), | ||
| ParameterMap('GHI_C', 'ghi_clear'), # this is stated in documentation | ||
| ParameterMap('GHIc', 'ghi_clear'), # this is used in practice | ||
| ParameterMap('DNI', 'dni'), | ||
| ParameterMap('DNI_C', 'dni_clear'), | ||
| ParameterMap('DNIc', 'dni_clear'), | ||
| ParameterMap('DIF', 'dhi'), | ||
| ParameterMap('GTI', 'poa_global'), | ||
| ParameterMap('GTI_C', 'poa_global_clear'), | ||
| ParameterMap('GTIc', 'poa_global_clear'), | ||
| # Solar position | ||
| ParameterMap('SE', 'solar_elevation'), | ||
| # SA -> solar_azimuth (degrees) (different convention) | ||
| ParameterMap("SA", "solar_azimuth", lambda x: x + 180), | ||
| # Weather / atmospheric parameters | ||
| ParameterMap('TEMP', 'temp_air'), | ||
| ParameterMap('TD', 'temp_dew'), | ||
| # surface_pressure (hPa) -> pressure (Pa) | ||
| ParameterMap('AP', 'pressure', lambda x: x*100), | ||
| ParameterMap('RH', 'relative_humidity'), | ||
| ParameterMap('WS', 'wind_speed'), | ||
| ParameterMap('WD', 'wind_direction'), | ||
| ParameterMap('INC', 'aoi'), # angle of incidence of direct irradiance | ||
| # precipitable_water (kg/m2) -> precipitable_water (cm) | ||
| ParameterMap('PWAT', 'precipitable_water', lambda x: x/10), | ||
| ] | ||
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| METADATA_FIELDS = [ | ||
| 'issued', 'site name', 'latitude', 'longitude', 'elevation', | ||
| 'summarization type', 'summarization period' | ||
| ] | ||
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| # Variables that use "-9" as nan values | ||
| NA_9_COLUMNS = ['GHI', 'GHIc', 'DNI', 'DNIc', 'DIF', 'GTI', 'GIc', 'KT', 'PAR', | ||
| 'PREC', 'PWAT', 'SDWE', 'SFWE'] | ||
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| def get_solargis(latitude, longitude, start, end, variables, api_key, | ||
| time_resolution, timestamp_type='center', tz='GMT+00', | ||
| terrain_shading=True, url=URL, map_variables=True, | ||
| timeout=30): | ||
| """ | ||
| Retrieve irradiance time series data from Solargis. | ||
| The Solargis [1]_ API is described in [2]_. | ||
| Parameters | ||
| ---------- | ||
| latitude: float | ||
| In decimal degrees, between -90 and 90, north is positive (ISO 19115) | ||
| longitude: float | ||
| In decimal degrees, between -180 and 180, east is positive (ISO 19115) | ||
| start : datetime-like | ||
| Start date of time series. | ||
| end : datetime-like | ||
| End date of time series. | ||
| variables : list | ||
| List of variables to request, see [2]_ for options. | ||
| api_key : str | ||
| API key. | ||
| time_resolution : str, {'PT05M', 'PT10M', 'PT15M', 'PT30', 'PT1H', 'P1D', 'P1M', 'P1Y'} | ||
| Time resolution as an integer number of minutes (e.g. 5, 60) | ||
| or an ISO 8601 duration string (e.g. "PT05M", "PT60M", "P1M"). | ||
| timestamp_type : {'start', 'center', 'end'}, default: 'center' | ||
| Labeling of time stamps of the return data. | ||
| tz : str, default : 'GMT+00' | ||
| Timezone of `start` and `end` in the format "GMT+hh" or "GMT-hh". | ||
| terrain_shading : boolean, default: True | ||
| Whether to account for horizon shading. | ||
| url : str, default : :const:`pvlib.iotools.solargis.URL` | ||
| Base url of Solargis API. | ||
| map_variables : boolean, default: True | ||
| When true, renames columns of the Dataframe to pvlib variable names | ||
| where applicable. See variable :const:`VARIABLE_MAP`. | ||
| timeout : int or float, default: 30 | ||
| Time in seconds to wait for server response before timeout | ||
| Returns | ||
| ------- | ||
| data : DataFrame | ||
| DataFrame containing time series data. | ||
| meta : dict | ||
| Dictionary containing metadata. | ||
| Raises | ||
| ------ | ||
| requests.HTTPError | ||
| A message from the Solargis server if the request is rejected | ||
| Notes | ||
| ----- | ||
| Each XML request is limited to retrieving 31 days of data. | ||
| The variable units depends on the time frequency, e.g., the unit for | ||
| sub-hourly irradiance data is :math:`W/m^2`, for hourly data it is | ||
| :math:`Wh/m^2`, and for daily data it is :math:`kWh/m^2`. | ||
| References | ||
| ---------- | ||
| .. [1] `Solargis <https://solargis.com>`_ | ||
| .. [2] `Solargis API User Guide | ||
| <https://solargis.atlassian.net/wiki/spaces/public/pages/7602367/Solargis+API+User+Guide>`_ | ||
| Examples | ||
| -------- | ||
| >>> # Retrieve two days of irradiance data from Solargis | ||
| >>> data, meta = response = pvlib.iotools.get_solargis( | ||
| >>> latitude=48.61259, longitude=20.827079, | ||
| >>> start='2022-01-01', end='2022-01-02', | ||
| >>> variables=['GHI', 'DNI'], time_resolution='PT05M', api_key='demo') | ||
| """ # noqa: E501 | ||
| # Use pd.to_datetime so that strings (e.g. '2021-01-01') are accepted | ||
| start = pd.to_datetime(start) | ||
| end = pd.to_datetime(end) | ||
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| headers = {'Content-Type': 'application/xml'} | ||
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| # Solargis recommends creating a unique site_id for each location request. | ||
| # The site_id does not impact the data retrieval and is used for debugging. | ||
| site_id = f"latitude_{latitude}_longitude_{longitude}" | ||
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| request_xml = f'''<ws:dataDeliveryRequest | ||
| dateFrom="{start.strftime('%Y-%m-%d')}" | ||
| dateTo="{end.strftime('%Y-%m-%d')}" | ||
| xmlns="http://geomodel.eu/schema/data/request" | ||
| xmlns:ws="http://geomodel.eu/schema/ws/data" | ||
| xmlns:geo="http://geomodel.eu/schema/common/geo" | ||
| xmlns:pv="http://geomodel.eu/schema/common/pv" | ||
| xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> | ||
| <site id="{site_id}" name="" lat="{latitude}" lng="{longitude}"> | ||
| </site> | ||
| <processing key="{' '.join(variables)}" | ||
| summarization="{TIME_RESOLUTION_MAP.get(time_resolution, time_resolution).upper()}" | ||
| terrainShading="{str(terrain_shading).lower()}"> | ||
| <timestampType>{timestamp_type.upper()}</timestampType> | ||
| <timeZone>{tz}</timeZone> | ||
| </processing> | ||
| </ws:dataDeliveryRequest>''' # noqa: E501 | ||
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| response = requests.post(url + "?key=" + api_key, headers=headers, | ||
| data=request_xml.encode('utf8'), timeout=timeout) | ||
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| if response.ok is False: | ||
| raise requests.HTTPError(response.json()) | ||
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| # Parse metadata | ||
| header = pd.read_xml(io.StringIO(response.text), parser='etree') | ||
| meta_lines = header['metadata'].iloc[0].split('#') | ||
| meta_lines = [line.strip() for line in meta_lines] | ||
| meta = {} | ||
| for line in meta_lines: | ||
| if ':' in line: | ||
| key = line.split(':')[0].lower() | ||
| if key in METADATA_FIELDS: | ||
| meta[key] = ':'.join(line.split(':')[1:]) | ||
| meta['latitude'] = float(meta['latitude']) | ||
| meta['longitude'] = float(meta['longitude']) | ||
| meta['altitude'] = float(meta.pop('elevation').replace('m a.s.l.', '')) | ||
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| # Parse data | ||
| data = pd.read_xml(io.StringIO(response.text), xpath='.//doc:row', | ||
| namespaces={'doc': 'http://geomodel.eu/schema/ws/data'}, | ||
| parser='etree') | ||
| data.index = pd.to_datetime(data['dateTime']) | ||
| # when requesting one variable, it is necessary to convert dataframe to str | ||
| data = data['values'].astype(str).str.split(' ', expand=True) | ||
| data = data.astype(float) | ||
| data.columns = header['columns'].iloc[0].split() | ||
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| # Replace "-9" with nan values for specific columns | ||
| for variable in data.columns: | ||
| if variable in NA_9_COLUMNS: | ||
| data[variable] = data[variable].replace(-9, pd.NA) | ||
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| # rename and convert variables | ||
| if map_variables: | ||
| for variable in VARIABLE_MAP: | ||
| if variable.solargis_name in data.columns: | ||
| data.rename( | ||
| columns={variable.solargis_name: variable.pvlib_name}, | ||
| inplace=True | ||
| ) | ||
| data[variable.pvlib_name] = data[ | ||
| variable.pvlib_name].apply(variable.conversion) | ||
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| return data, meta |
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