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from dateutil.parser import parse
from source.data_source import *
from typing import Any
class DataHubeau(DataSource):
def parse_response_hubeau_without_value(self, times):
self.variables[2].values = np.zeros(times.shape[0])
self.variables[2].times = times
self.variables[3].values = np.zeros(times.shape[0])
self.variables[3].times = times
self.variables[4].values = np.zeros(times.shape[0])
self.variables[4].times = times
def parse_response_hubeau_with_value(self, variable_idx, values, times):
sediment_first_idx = 2 * (variable_idx + 1)
sediment_modelisation = self.variables[sediment_first_idx].modelisation
assert sediment_modelisation is not None
sediment_values = sediment_modelisation(values)
self.variables[sediment_first_idx].values = sediment_values
self.variables[sediment_first_idx].times = times
self.variables[sediment_first_idx + 1].values = sediment_values
self.variables[sediment_first_idx + 1].times = times
def parse_dict(self, api_response: dict[str, Any], variable: Variable,
mode: DataSourceMode) -> None:
"""Parse the HubEau API response to store the result in the source variables
:param api_response: the api response
:param VariableFrLiq variable: Garonne or Dordogne
:param DataSourceMode mode: historical or forecast mode
"""
logging.info(f"-- Parsing Hub'Eau datas for variable : {variable} ")
if mode == DataSourceMode.FORECAST:
result_key = "resultat_obs"
date_key = "date_obs"
else:
result_key = "resultat_obs_elab"
date_key = "date_obs_elab"
# value need to be converted from l/s to m3/s
nr_data = len(api_response["data"])
values = np.zeros(nr_data, dtype=np.float64)
times = np.zeros(len(api_response["data"]), dtype="datetime64[s]")
for idx, data in enumerate(api_response["data"]):
# divide by 1000 to convert to g/l
values[idx] = data[result_key] / 1000.0
times[idx] = parse(data[date_key]).replace(tzinfo=None)
variable_idx = self.variables.index(variable)
self.variables[variable_idx].values = values
self.variables[variable_idx].times = times
# 3D model, Compute Sediment values
if self.name == "hub-eau-3d":
self.parse_response_hubeau_with_value(variable_idx, values, times)
elif variable_idx == 0:
self.parse_response_hubeau_without_value(times)
def download(self, start_date: datetime, end_date: datetime) -> bool:
"""Download forecast api_response from hub eau api
Data are requested from a city specified by code_entite
:param HubEauSource3D | HubEauSource2D self: hub eau source
:param datetime start_date: start date
:param datetime end_date: end date
:returns: bool
"""
logging.info("Downloading Hub'Eau datas")
real_start_date, real_end_date, mode = self.compute_real_dates(start_date, end_date)
if mode == DataSourceMode.FORECAST:
date_debut_field = "date_debut_obs"
date_fin_field = "date_fin_obs"
else:
date_debut_field = "date_debut_obs_elab"
date_fin_field = "date_fin_obs_elab"
for idx, param in enumerate(self.api_params[mode]):
req_url = (
f"{self.url[mode]}?{param}"
f"&{date_debut_field}={real_start_date:%Y-%m-%d}"
f"&{date_fin_field}={real_end_date:%Y-%m-%d}"
)
response = get_curl_json(req_url)
self.parse_dict(response, self.variables[idx], mode)
return True