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import requests
import io
import logging
import xarray as xr
from datetime import date, timedelta
import json
with open('credentials.txt') as f:
pwd = f.readlines()
response = requests.post(
"https://api.ombreapp.fr/api/v1.0/links/token/",
data={"email": "[email protected]", "password": pwd, "permission": True},
)
token = response.json()["access"]
def get_air_sensors_data(plot_id, position,date_from = False, date_to= False, night=False):
if not date_from:
# Get Yesterday data by default
if night :
date_from = (date.today() - timedelta(2)).strftime("%Y-%m-%dT%H:%M:%S")[0:11] + "12:00:00"
date_to = (date.today() - timedelta(1)).strftime("%Y-%m-%dT%H:%M:%S")[0:11] + "11:50:00"
else :
date_from = (date.today() - timedelta(1)).strftime("%Y-%m-%dT%H:%M:%S")
date_to = date_from[0:11] + "23:50:00"
headers = {'Authorization': f"Bearer {token}", "Accept": "application/x-netcdf"}
# Get Climatic dataset as netcdf file
response = requests.get(
f"https://api.ombreapp.fr/api/v2.0/plots/{plot_id}/climatic_dataset/",
params={
"start_time": date_from,
"end_time": date_to,
"position": position
},
headers=headers
)
if response.status_code == 200:
# Open Dataset
ds_out = xr.open_dataset(io.BytesIO(response.content))
else:
logging.error(f"Error {response.status_code}: {response.content}")
ds_out
df_air = ds_out[['air_temperature','relative_humidity','photon_flux_density','wind_speed']].to_dataframe()
return df_air
def get_lat_lon(plot_id):
headers = {'Authorization': f"Bearer {token}"}
response = requests.get(
"https://api.ombreapp.fr/api/v2.0/plots/",
headers=headers
)
plots = json.loads(response.content)
plot = [plots[i] for i in range(len(plots)) if plots[i]['id'] == plot_id][0]
return (plot['zone']['coordinates'][0][0][1],plot['zone']['coordinates'][0][0][0])
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