99 lines
3.3 KiB
Python
99 lines
3.3 KiB
Python
'''
|
|
Sqlalchemy version: 1.2.15
|
|
Python version: 3.7
|
|
'''
|
|
|
|
import os
|
|
import uuid
|
|
from sqlalchemy.orm import session
|
|
from dotenv import load_dotenv, find_dotenv
|
|
import requests
|
|
from datetime import datetime
|
|
from db.models import (
|
|
Observation,
|
|
create_pg_session,
|
|
Dataset,
|
|
Procedure,
|
|
Phenomenon,
|
|
Platform,
|
|
Format
|
|
)
|
|
|
|
|
|
def main():
|
|
''' main method '''
|
|
pg_session: session = create_pg_session()
|
|
platform_sta_identifier = "pechgraben_piezometer"
|
|
sensor = "bohrloch1"
|
|
|
|
pg_query = pg_session.query(Dataset) \
|
|
.join(Procedure) \
|
|
.join(Phenomenon) \
|
|
.filter(Procedure.sta_identifier == sensor.lower())
|
|
elevation_dataset: Dataset = pg_query.filter(
|
|
Phenomenon.sta_identifier == "Elevation").first()
|
|
if not elevation_dataset:
|
|
print("Sensor " + sensor + " ist noch nicht angelegt!")
|
|
exit()
|
|
# if not elevation_dataset.is_published:
|
|
# elevation_dataset.is_published = 1
|
|
# elevation_dataset.is_hidden = 0
|
|
# elevation_dataset.dataset_type = "timeseries"
|
|
# elevation_dataset.observation_type = "simple"
|
|
# elevation_dataset.value_type = "text"
|
|
# pg_session.commit()
|
|
|
|
platform_exists: bool = pg_session.query(Platform.id).filter_by(
|
|
sta_identifier=platform_sta_identifier).scalar() is not None
|
|
if platform_exists:
|
|
sensor_platform = pg_session.query(Platform.id) \
|
|
.filter(Platform.sta_identifier == platform_sta_identifier) \
|
|
.first()
|
|
elevation_dataset.fk_platform_id = sensor_platform.id
|
|
|
|
format_exists: bool = pg_session.query(Format.id).filter_by(
|
|
definition="http://www.opengis.net/def/observationType/OGC-OM/2.0/OM_Measurement"
|
|
).scalar() is not None
|
|
if format_exists:
|
|
sensor_format = pg_session.query(Format.id) \
|
|
.filter(Format.definition == "http://www.opengis.net/def/observationType/OGC-OM/2.0/OM_Measurement") \
|
|
.first()
|
|
elevation_dataset.fk_format_id = sensor_format.id
|
|
|
|
|
|
def test():
|
|
''' test method '''
|
|
sensor_key = 'bohrloch1'
|
|
url = 'https://jaa5ixl2y0.execute-api.ap-southeast-2.amazonaws.com/v1/data'
|
|
|
|
params = {}
|
|
headers = {'content-type': 'application/json'}
|
|
|
|
resp = requests.get(url=url, params=params, headers=headers)
|
|
data = resp.json() # Check the JSON Response Content documentation below
|
|
# sensor_data = json.dumps(data)
|
|
if sensor_key in data:
|
|
print("Sesnor key exist in JSON data")
|
|
sensor_object = data[sensor_key]
|
|
zeitstempel = sensor_object["zeitstempel"]
|
|
abstich = sensor_object["abstich"]
|
|
date_obj = datetime.strptime(
|
|
zeitstempel, '%Y:%m:%d %H:%M:%S')
|
|
|
|
new_observation: Observation = Observation()
|
|
# new_observation.id = max_id
|
|
new_observation.sta_identifier = str(uuid.uuid4())
|
|
new_observation.result_time = date_obj
|
|
new_observation.sampling_time_start = new_observation.result_time
|
|
new_observation.sampling_time_end = new_observation.result_time
|
|
new_observation.value_type = "quantity"
|
|
new_observation.value_quantity = abstich
|
|
# new_observation.fk_dataset_id = dataset.id
|
|
|
|
|
|
if __name__ == "__main__":
|
|
load_dotenv(find_dotenv())
|
|
sensor_list1 = os.environ.get('GLASFASER_GSCHLIEFGRABEN_SENSORS', [])
|
|
print(f'sensors: {sensor_list1} .')
|
|
test()
|