- add additional projecta reas for the automatic inclinometer import
- beginning with voegelsberg (ftp download, moving objects)
This commit is contained in:
Arno Kaimbacher
parent
e068773eec
commit
7f08225b40
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@ -68,7 +68,7 @@ CHIAVE NOME NUMERO_SENSORI SITO x y
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5 GSA002-017-0510 17 Rosano 43.7685394,11.4232703
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6 GSA02A-010-1210 10 Ampflwang - KB1 48.0889892,13.5583703
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7 GSA02B-007-1210 17 Ampflwang - KB2 48.088,13.5583
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8 GSA02B-007-0911 19 Laakirchen 47.9789118,13.8141457
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8 GSA02B-007-0911 19 Laakirchen 47.9789118,13.8141457 erledigt
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9 Copy of GSA002-017-0510 17 Rosano 43.7685394,11.4232703
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10 GSA02B-007-0613 17 Pechgraben Haus 47.9193704,14.5242307
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11 Copy of GSA02B-007-0911 19 Laakirchen 47.9789118,13.8141457
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@ -77,7 +77,7 @@ CHIAVE NOME NUMERO_SENSORI SITO x y
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14 TAC003-020-1213 20 Pechgraben KB1 47.9193704,14.5242307
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15 GSA02A-010-1213 10 Pechgraben KB2 47.9193704,14.5242307
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16 TAC003-020-0414 20 Pechgraben KB1 47.9193704,14.5242307
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17 TAC003-020-0517 20 Wolfsegg KB1 48.1064354,13.6731638
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17 TAC003-020-0517 20 Wolfsegg KB1 48.1064354,13.6731638 erledigt
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18 GSA02A-010-0517 10 Wolfsegg KB3 48.1064354,13.6731638
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19 TAC005-013-0517 14 Wolfsegg KB2 48.1064354,13.6731638
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20 GSA003-020-0517 34 Wolfsegg KB5 48.1064354,13.6731638
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314
automatic_inclinometer/import_observations_ampfwang_kb1.py
Normal file
314
automatic_inclinometer/import_observations_ampfwang_kb1.py
Normal file
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@ -0,0 +1,314 @@
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""" import firebird, export to postgresql """
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#!/usr/bin/python# -*- coding: utf-8 -*-
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import os
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import time
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from typing import List
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from itertools import chain
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import uuid
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import json
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from dotenv import load_dotenv, find_dotenv
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from sqlalchemy.orm import session
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from sqlalchemy import asc, desc
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# from sqlalchemy.dialects import firebird
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from sqlalchemy.sql import or_
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from db.fb_models import (create_session, FbObservation, Catena)
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from db.models import (create_pg_session, Dataset,
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Observation, Procedure, Phenomenon, Platform, Format)
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def main():
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"""
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Main function.
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"""
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#sensor_id = 0
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# name of project area in firebird db
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feature_of_interest = 'GSA02A-010-1210' # Ampflwang KB1
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# sensor name in postgis db
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# sensor = 'wolfsegg_kb1_0'
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platform = 'ampflwang_kb1_inclinometer'
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sensor_env_list = os.getenv('AMPFLWANG_KB1_SENSORS').replace('\n', '')
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sensor_list = json.loads(sensor_env_list)
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# print(sensor_list)
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firebird_session: session = create_session()
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# this will print elements along with their index value
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for sensor_id, sensor in enumerate(sensor_list):
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# db_observation = session.query(Observation) \
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# .filter_by(name='John Snow').first()
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query_count = firebird_session.query(FbObservation).join(FbObservation.catena) \
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.filter(FbObservation.sensore == sensor_id) \
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.filter(Catena.name == feature_of_interest) \
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.filter(
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or_(
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FbObservation.temperature != None,
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FbObservation.pitch != None # this is used to check NULL values
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)) \
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.count()
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# if query_count == 0:
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# print(f"sensor {sensor} "
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# f"doesn't have any observations with measured values in firebird database!")
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# # hop to next for iteration, next sensor in list
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# continue
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# test = query_count.statement.compile(dialect=firebird.dialect())
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firebird_observations: List[FbObservation] = []
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if query_count > 0:
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query = firebird_session.query(FbObservation).join(FbObservation.catena) \
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.filter(FbObservation.sensore == sensor_id) \
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.filter(Catena.name == feature_of_interest)
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# print (query.statement.compile(dialect=firebird.dialect()))
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firebird_observations: List[FbObservation] = query.all()
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firebird_session.close()
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pg_session: session = create_pg_session()
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# pg_datasets: List[Dataset] = pg_query.all()
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pg_query = pg_session.query(Dataset) \
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.join(Procedure) \
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.join(Phenomenon) \
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.filter(Procedure.sta_identifier == sensor.lower())
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# .join(Platform).all() \
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roll_dataset: Dataset = pg_query.filter(
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Phenomenon.sta_identifier == "Roll").first()
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slope_dataset: Dataset = pg_query.filter(
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Phenomenon.sta_identifier == "Slope").first()
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temperature_dataset: Dataset = pg_query.filter(
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Phenomenon.sta_identifier == "InSystemTemperature").first()
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platform_exists = pg_session.query(Platform.id).filter_by(
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name=platform.lower()).scalar() is not None
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if not platform_exists:
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sensor_platform = Platform()
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sensor_platform.sta_identifier = platform.lower()
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sensor_platform.identifier = platform.lower()
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sensor_platform.name = platform.lower()
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slope_dataset.platform = sensor_platform
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roll_dataset.platform = sensor_platform
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temperature_dataset.platform = sensor_platform
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else:
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sensor_platform = pg_session.query(Platform.id) \
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.filter(Platform.name == platform.lower()) \
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.first()
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slope_dataset.fk_platform_id = sensor_platform.id
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roll_dataset.fk_platform_id = sensor_platform.id
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temperature_dataset.fk_platform_id = sensor_platform.id
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# commit dataset changes:
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pg_session.commit()
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format_exists: bool = pg_session.query(Format.id).filter_by(
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definition="http://www.opengis.net/def/observationType/OGC-OM/2.0/OM_Measurement"
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).scalar() is not None
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if format_exists:
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sensor_format = pg_session.query(Format.id) \
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.filter(Format.definition ==
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"http://www.opengis.net/def/observationType/OGC-OM/2.0/OM_Measurement") \
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.first()
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slope_dataset.fk_format_id = sensor_format.id
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roll_dataset.fk_format_id = sensor_format.id
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temperature_dataset.fk_format_id = sensor_format.id
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pg_session.commit()
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if query_count == 0:
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print(f"sensor {sensor} "
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f"doesn't have any observations with measured values in firebird database!")
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# hop to next for iteration, next sensor in list, don't insert any observations
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continue
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create_db_observations(firebird_observations, roll_dataset,
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slope_dataset, temperature_dataset, pg_session)
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# commit new observations:
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pg_session.commit()
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if len(roll_dataset.observations) > 0:
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# if not published yet, publish the roll dataset
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if not roll_dataset.is_published:
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roll_dataset.is_published = 1
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roll_dataset.is_hidden = 0
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roll_dataset.dataset_type = "timeseries"
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roll_dataset.observation_type = "simple"
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roll_dataset.value_type = "quantity"
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if len(slope_dataset.observations) > 0:
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# if not published yet, publish the roll dataset
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if not slope_dataset.is_published:
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slope_dataset.is_published = 1
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slope_dataset.is_hidden = 0
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slope_dataset.dataset_type = "timeseries"
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slope_dataset.observation_type = "simple"
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slope_dataset.value_type = "quantity"
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if len(temperature_dataset.observations) > 0:
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# if not published yet, publish the temperature dataset
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if not temperature_dataset.is_published:
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temperature_dataset.is_published = 1
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temperature_dataset.is_hidden = 0
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temperature_dataset.dataset_type = "timeseries"
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temperature_dataset.observation_type = "simple"
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temperature_dataset.value_type = "quantity"
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pg_session.commit()
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last_roll_observation = pg_session.query(Observation) \
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.filter(Observation.fk_dataset_id == roll_dataset.id) \
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.order_by(desc('sampling_time_start')) \
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.first()
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if last_roll_observation is not None:
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roll_dataset.last_time = last_roll_observation.sampling_time_start
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roll_dataset.last_value = last_roll_observation.value_quantity
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roll_dataset.fk_last_observation_id = last_roll_observation.id
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last_slope_observation = pg_session.query(Observation) \
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.filter(Observation.fk_dataset_id == slope_dataset.id) \
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.order_by(desc('sampling_time_start')) \
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.first()
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if last_slope_observation is not None:
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slope_dataset.last_time = last_slope_observation.sampling_time_start
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slope_dataset.last_value = last_slope_observation.value_quantity
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slope_dataset.fk_last_observation_id = last_slope_observation.id
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last_temperature_observation = pg_session.query(Observation) \
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.filter(Observation.fk_dataset_id == temperature_dataset.id) \
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.order_by(desc('sampling_time_start')) \
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.first()
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if last_temperature_observation is not None:
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temperature_dataset.last_time = last_temperature_observation.sampling_time_start
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temperature_dataset.last_value = last_temperature_observation.value_quantity
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temperature_dataset.fk_last_observation_id = last_temperature_observation.id
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first_roll_observation = pg_session.query(Observation) \
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.filter(Observation.fk_dataset_id == roll_dataset.id) \
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.order_by(asc('sampling_time_start')) \
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.first()
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if first_roll_observation is not None:
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roll_dataset.first_time = first_roll_observation.sampling_time_start
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roll_dataset.first_value = first_roll_observation.value_quantity
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roll_dataset.fk_first_observation_id = first_roll_observation.id
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first_slope_observation = pg_session.query(Observation) \
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.filter(Observation.fk_dataset_id == slope_dataset.id) \
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.order_by(asc('sampling_time_start')) \
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.first()
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if first_slope_observation is not None:
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slope_dataset.first_time = first_slope_observation.sampling_time_start
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slope_dataset.first_value = first_slope_observation.value_quantity
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slope_dataset.fk_first_observation_id = first_slope_observation.id
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first_temperature_observation = pg_session.query(Observation) \
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.filter(Observation.fk_dataset_id == temperature_dataset.id) \
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.order_by(asc('sampling_time_start')) \
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.first()
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if first_temperature_observation is not None:
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temperature_dataset.first_time = first_temperature_observation.sampling_time_start
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temperature_dataset.first_value = first_temperature_observation.value_quantity
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temperature_dataset.fk_first_observation_id = first_temperature_observation.id
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pg_session.commit()
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# for loop sensors end
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pg_session.close()
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# firebird_session.close()
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def create_db_observations(firebird_observations: List[FbObservation],
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roll_dataset: Dataset,
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slope_dataset: Dataset,
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temperature_dataset: Dataset,
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pg_session: session):
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''' insert new observations ito db '''
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roll_result = (
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pg_session.query(Observation.result_time)
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.filter(Observation.fk_dataset_id == roll_dataset.id)
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.all()
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)
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roll_result_time_db_list1: List[str] = list(chain(*roll_result))
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roll_result_time_db_list: List[float] = [time.mktime(
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date_obj.timetuple()) for date_obj in roll_result_time_db_list1]
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slope_result = (
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pg_session.query(Observation.result_time)
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.filter(Observation.fk_dataset_id == slope_dataset.id)
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.all()
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)
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slope_result_time_db_list1: List[str] = list(chain(*slope_result))
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slope_result_time_db_list: List[float] = [time.mktime(
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date_obj.timetuple()) for date_obj in slope_result_time_db_list1]
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temperature_result = (
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pg_session.query(Observation.result_time)
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.filter(Observation.fk_dataset_id == temperature_dataset.id)
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.all()
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)
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temperature_result_time_db_list1: List[str] = list(
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chain(*temperature_result))
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temperature_result_time_db_list: List[float] = [time.mktime(
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date_obj.timetuple()) for date_obj in temperature_result_time_db_list1]
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for fb_observation in firebird_observations:
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# print(fb_observation.catena.name)
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if(fb_observation.roll is not None and roll_dataset is not None):
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value = fb_observation.roll
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add_observation(roll_dataset, fb_observation,
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value, roll_result_time_db_list)
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if(fb_observation.pitch is not None and slope_dataset is not None):
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# max_id = max_id + 1
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value = fb_observation.pitch
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add_observation(slope_dataset, fb_observation,
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value, slope_result_time_db_list)
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if(fb_observation.temperature is not None and temperature_dataset is not None):
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# max_id = max_id + 1
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value = fb_observation.temperature
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add_observation(temperature_dataset, fb_observation,
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value, temperature_result_time_db_list)
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def add_observation(
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dataset: Dataset,
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fb_observation: FbObservation,
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value: str,
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value_identifier_db_list: List[float]):
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''' check if observation still extists in db,
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otherwise add it to fb'''
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# ob_id: str = str(observation_json.get('id'))
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# existing_observation: bool = (
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# db_session.query(Observation)
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# .filter(Observation.result_time == fb_observation.result_time,
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# Observation.fk_dataset_id == dataset.id)
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# .one_or_none()
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# )
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existing_observation: bool = time.mktime(
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fb_observation.result_time.timetuple()) in value_identifier_db_list
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# Can we insert this observation?
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if existing_observation is False:
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# insert bew observation
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new_observation: Observation = Observation()
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new_observation = Observation(
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# id=max_id,
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value_type='quantity',
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sampling_time_start=fb_observation.result_time,
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sampling_time_end=fb_observation.result_time,
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result_time=fb_observation.result_time,
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sta_identifier=str(uuid.uuid4()),
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value_identifier=str(time.mktime(
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fb_observation.result_time.timetuple())),
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value_quantity=value
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)
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dataset.observations.append(new_observation)
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print(f"new observation with result time {new_observation.result_time} "
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f"for inclinometer {dataset.procedure.name} succesfully imported!")
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else:
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print(f"observation with result time {fb_observation.result_time} "
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f"for inclinometer {dataset.procedure.name} already exists!")
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# -----------------------------------------------------------------------------
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if __name__ == "__main__":
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load_dotenv(find_dotenv())
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main()
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@ -56,19 +56,21 @@ def main():
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FbObservation.pitch != None # this is used to check NULL values
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)) \
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.count()
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if query_count == 0:
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print(f"sensor {sensor} "
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f"doesn't have any observations with measured values in firebird database!")
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# hop to next for iteration, next sensor in list
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continue
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# feature_of_interest = query.statement.compile(dialect=firebird.dialect())
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# if query_count == 0:
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# print(f"sensor {sensor} "
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# f"doesn't have any observations with measured values in firebird database!")
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# # hop to next for iteration, next sensor in list
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# continue
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# test = query_count.statement.compile(dialect=firebird.dialect())
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firebird_observations: List[FbObservation] = []
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if query_count > 0:
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query = firebird_session.query(FbObservation).join(FbObservation.catena) \
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.filter(FbObservation.sensore == sensor_id) \
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.filter(Catena.name == feature_of_interest)
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# print (query.statement.compile(dialect=firebird.dialect()))
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firebird_observations: List[FbObservation] = query.all()
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# firebird_session.close()
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firebird_session.close()
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pg_session: session = create_pg_session()
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# pg_datasets: List[Dataset] = pg_query.all()
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@ -108,7 +110,6 @@ def main():
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# commit dataset changes:
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pg_session.commit()
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format_exists: bool = pg_session.query(Format.id).filter_by(
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definition="http://www.opengis.net/def/observationType/OGC-OM/2.0/OM_Measurement"
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).scalar() is not None
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@ -122,7 +123,14 @@ def main():
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temperature_dataset.fk_format_id = sensor_format.id
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pg_session.commit()
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create_db_observations(firebird_observations, roll_dataset, slope_dataset, temperature_dataset, pg_session)
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if query_count == 0:
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print(f"sensor {sensor} "
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f"doesn't have any observations with measured values in firebird database!")
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# hop to next for iteration, next sensor in list, don't insert any observations
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continue
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create_db_observations(firebird_observations, roll_dataset,
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slope_dataset, temperature_dataset, pg_session)
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# commit new observations:
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pg_session.commit()
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@ -155,7 +163,6 @@ def main():
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temperature_dataset.value_type = "quantity"
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pg_session.commit()
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last_roll_observation = pg_session.query(Observation) \
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.filter(Observation.fk_dataset_id == roll_dataset.id) \
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.order_by(desc('sampling_time_start')) \
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@ -213,7 +220,8 @@ def main():
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# for loop sensors end
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pg_session.close()
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firebird_session.close()
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# firebird_session.close()
|
||||
|
||||
|
||||
def create_db_observations(firebird_observations: List[FbObservation],
|
||||
roll_dataset: Dataset,
|
||||
|
|
@ -227,8 +235,8 @@ def create_db_observations(firebird_observations: List[FbObservation],
|
|||
.all()
|
||||
)
|
||||
roll_result_time_db_list1: List[str] = list(chain(*roll_result))
|
||||
roll_result_time_db_list : List[float]= [time.mktime(date_obj.timetuple()) for date_obj in roll_result_time_db_list1]
|
||||
|
||||
roll_result_time_db_list: List[float] = [time.mktime(
|
||||
date_obj.timetuple()) for date_obj in roll_result_time_db_list1]
|
||||
|
||||
slope_result = (
|
||||
pg_session.query(Observation.result_time)
|
||||
|
|
@ -236,43 +244,56 @@ def create_db_observations(firebird_observations: List[FbObservation],
|
|||
.all()
|
||||
)
|
||||
slope_result_time_db_list1: List[str] = list(chain(*slope_result))
|
||||
slope_result_time_db_list : List[float]= [time.mktime(date_obj.timetuple()) for date_obj in slope_result_time_db_list1]
|
||||
slope_result_time_db_list: List[float] = [time.mktime(
|
||||
date_obj.timetuple()) for date_obj in slope_result_time_db_list1]
|
||||
|
||||
temperature_result = (
|
||||
pg_session.query(Observation.result_time)
|
||||
.filter(Observation.fk_dataset_id == temperature_dataset.id)
|
||||
.all()
|
||||
)
|
||||
temperature_result_time_db_list1: List[str] = list(chain(*temperature_result))
|
||||
temperature_result_time_db_list : List[float]= [time.mktime(date_obj.timetuple()) for date_obj in temperature_result_time_db_list1]
|
||||
temperature_result_time_db_list1: List[str] = list(
|
||||
chain(*temperature_result))
|
||||
temperature_result_time_db_list: List[float] = [time.mktime(
|
||||
date_obj.timetuple()) for date_obj in temperature_result_time_db_list1]
|
||||
|
||||
for fb_observation in firebird_observations:
|
||||
# print(fb_observation.catena.name)
|
||||
if(fb_observation.roll is not None and roll_dataset is not None):
|
||||
value = fb_observation.roll
|
||||
add_observation(roll_dataset, fb_observation, value, roll_result_time_db_list)
|
||||
add_observation(roll_dataset, fb_observation,
|
||||
value, roll_result_time_db_list)
|
||||
|
||||
if(fb_observation.pitch is not None and slope_dataset is not None):
|
||||
# max_id = max_id + 1
|
||||
value = fb_observation.pitch
|
||||
add_observation(slope_dataset, fb_observation, value, slope_result_time_db_list)
|
||||
add_observation(slope_dataset, fb_observation,
|
||||
value, slope_result_time_db_list)
|
||||
|
||||
if(fb_observation.temperature is not None and temperature_dataset is not None):
|
||||
# max_id = max_id + 1
|
||||
value = fb_observation.temperature
|
||||
add_observation(temperature_dataset, fb_observation, value, temperature_result_time_db_list)
|
||||
add_observation(temperature_dataset, fb_observation,
|
||||
value, temperature_result_time_db_list)
|
||||
|
||||
def add_observation(dataset: Dataset, fb_observation: FbObservation, value: str, value_identifier_db_list: List[float]):
|
||||
|
||||
def add_observation(
|
||||
dataset: Dataset,
|
||||
fb_observation: FbObservation,
|
||||
value: str,
|
||||
value_identifier_db_list: List[float]):
|
||||
''' check if observation still extists in db,
|
||||
otherwise add it to fb'''
|
||||
# ob_id: str = str(observation_json.get('id'))
|
||||
|
||||
# existing_observation: bool = (
|
||||
# db_session.query(Observation)
|
||||
# .filter(Observation.result_time == fb_observation.result_time, Observation.fk_dataset_id == dataset.id)
|
||||
# .filter(Observation.result_time == fb_observation.result_time,
|
||||
# Observation.fk_dataset_id == dataset.id)
|
||||
# .one_or_none()
|
||||
# )
|
||||
existing_observation: bool =time.mktime(fb_observation.result_time.timetuple()) in value_identifier_db_list
|
||||
existing_observation: bool = time.mktime(
|
||||
fb_observation.result_time.timetuple()) in value_identifier_db_list
|
||||
# Can we insert this observation?
|
||||
if existing_observation is False:
|
||||
# insert bew observation
|
||||
|
|
@ -284,7 +305,8 @@ def add_observation(dataset: Dataset, fb_observation: FbObservation, value: str,
|
|||
sampling_time_end=fb_observation.result_time,
|
||||
result_time=fb_observation.result_time,
|
||||
sta_identifier=str(uuid.uuid4()),
|
||||
value_identifier = str(time.mktime(fb_observation.result_time.timetuple())),
|
||||
value_identifier=str(time.mktime(
|
||||
fb_observation.result_time.timetuple())),
|
||||
value_quantity=value
|
||||
)
|
||||
dataset.observations.append(new_observation)
|
||||
|
|
@ -294,6 +316,7 @@ def add_observation(dataset: Dataset, fb_observation: FbObservation, value: str,
|
|||
print(f"observation with result time {fb_observation.result_time} "
|
||||
f"for inclinometer {dataset.procedure.name} already exists!")
|
||||
|
||||
|
||||
# -----------------------------------------------------------------------------
|
||||
if __name__ == "__main__":
|
||||
load_dotenv(find_dotenv())
|
||||
|
|
|
|||
|
|
@ -1,41 +1,65 @@
|
|||
""" import firebird, export to postgresql """
|
||||
#!/usr/bin/python# -*- coding: utf-8 -*-
|
||||
|
||||
import os
|
||||
import time
|
||||
from typing import List
|
||||
from itertools import chain
|
||||
import uuid
|
||||
import json
|
||||
from dotenv import load_dotenv, find_dotenv
|
||||
from sqlalchemy.orm import session
|
||||
from sqlalchemy import desc, asc
|
||||
from sqlalchemy import asc, desc
|
||||
# from sqlalchemy.dialects import firebird
|
||||
from sqlalchemy.sql import or_
|
||||
from db.fb_models import (create_session, FbObservation, Catena)
|
||||
from db.models import (create_pg_session, Dataset, Observation, Procedure, Phenomenon, Platform)
|
||||
from db.models import (create_pg_session, Dataset,
|
||||
Observation, Procedure, Phenomenon, Platform, Format)
|
||||
|
||||
|
||||
def main():
|
||||
"""
|
||||
Main function.
|
||||
"""
|
||||
|
||||
# parameter:
|
||||
# sensor id in firebird db:
|
||||
# sensor_id = 1
|
||||
# # name of project area in firebird db
|
||||
# feature_of_interest = 'TAC003-020-0517' # Wolfsegg KB1
|
||||
# # sensor name in postgis db
|
||||
# sensor = 'wolfsegg_kb1_1'
|
||||
# platform = 'wolfsegg'
|
||||
|
||||
sensor_id = 0
|
||||
#sensor_id = 0
|
||||
# name of project area in firebird db
|
||||
feature_of_interest = 'TAC003-020-0517' # Wolfsegg KB1
|
||||
# sensor name in postgis db
|
||||
sensor = 'wolfsegg_kb1_0'
|
||||
platform = 'wolfsegg_inclinometer'
|
||||
# sensor = 'wolfsegg_kb1_0'
|
||||
platform = 'wolfsegg_kb1_inclinometer'
|
||||
|
||||
sensor_env_list = os.getenv('WOLFSEGG_KB1_SENSORS').replace('\n', '')
|
||||
sensor_list = json.loads(sensor_env_list)
|
||||
# print(sensor_list)
|
||||
firebird_session: session = create_session()
|
||||
# this will print elements along with their index value
|
||||
for sensor_id, sensor in enumerate(sensor_list):
|
||||
|
||||
# db_observation = session.query(Observation) \
|
||||
# .filter_by(name='John Snow').first()
|
||||
query_count = firebird_session.query(FbObservation).join(FbObservation.catena) \
|
||||
.filter(FbObservation.sensore == sensor_id) \
|
||||
.filter(Catena.name == feature_of_interest) \
|
||||
.filter(
|
||||
or_(
|
||||
FbObservation.temperature != None,
|
||||
FbObservation.pitch != None # this is used to check NULL values
|
||||
)) \
|
||||
.count()
|
||||
# if query_count == 0:
|
||||
# print(f"sensor {sensor} "
|
||||
# f"doesn't have any observations with measured values in firebird database!")
|
||||
# # hop to next for iteration, next sensor in list
|
||||
# continue
|
||||
# test = query_count.statement.compile(dialect=firebird.dialect())
|
||||
|
||||
firebird_observations: List[FbObservation] = []
|
||||
if query_count > 0:
|
||||
query = firebird_session.query(FbObservation).join(FbObservation.catena) \
|
||||
.filter(FbObservation.sensore == sensor_id) \
|
||||
.filter(Catena.name == feature_of_interest)
|
||||
# feature_of_interest = query.statement.compile(dialect=firebird.dialect())
|
||||
# print (query.statement.compile(dialect=firebird.dialect()))
|
||||
firebird_observations: List[FbObservation] = query.all()
|
||||
firebird_session.close()
|
||||
|
||||
|
|
@ -47,23 +71,82 @@ def main():
|
|||
.filter(Procedure.sta_identifier == sensor.lower())
|
||||
# .join(Platform).all() \
|
||||
|
||||
roll_dataset: Dataset = pg_query.filter(
|
||||
Phenomenon.sta_identifier == "Roll").first()
|
||||
|
||||
# roll_dataset = [x for x in pg_datasets if x.phenomenon.sta_identifier == "Roll"]
|
||||
roll_dataset = pg_query.filter(Phenomenon.sta_identifier == "Roll").first()
|
||||
slope_dataset: Dataset = pg_query.filter(
|
||||
Phenomenon.sta_identifier == "Slope").first()
|
||||
|
||||
temperature_dataset: Dataset = pg_query.filter(
|
||||
Phenomenon.sta_identifier == "InSystemTemperature").first()
|
||||
|
||||
platform_exists = pg_session.query(Platform.id).filter_by(
|
||||
name=platform.lower()).scalar() is not None
|
||||
if not platform_exists:
|
||||
sensor_platform = Platform()
|
||||
sensor_platform.sta_identifier = platform.lower()
|
||||
sensor_platform.identifier = platform.lower()
|
||||
sensor_platform.name = platform.lower()
|
||||
slope_dataset.platform = sensor_platform
|
||||
roll_dataset.platform = sensor_platform
|
||||
temperature_dataset.platform = sensor_platform
|
||||
else:
|
||||
sensor_platform = pg_session.query(Platform.id) \
|
||||
.filter(Platform.name == platform.lower()) \
|
||||
.first()
|
||||
slope_dataset.fk_platform_id = sensor_platform.id
|
||||
roll_dataset.fk_platform_id = sensor_platform.id
|
||||
temperature_dataset.fk_platform_id = sensor_platform.id
|
||||
|
||||
# commit dataset changes:
|
||||
pg_session.commit()
|
||||
|
||||
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()
|
||||
slope_dataset.fk_format_id = sensor_format.id
|
||||
roll_dataset.fk_format_id = sensor_format.id
|
||||
temperature_dataset.fk_format_id = sensor_format.id
|
||||
pg_session.commit()
|
||||
|
||||
if query_count == 0:
|
||||
print(f"sensor {sensor} "
|
||||
f"doesn't have any observations with measured values in firebird database!")
|
||||
# hop to next for iteration, next sensor in list, don't insert any observations
|
||||
continue
|
||||
|
||||
create_db_observations(firebird_observations, roll_dataset,
|
||||
slope_dataset, temperature_dataset, pg_session)
|
||||
|
||||
# commit new observations:
|
||||
pg_session.commit()
|
||||
|
||||
if len(roll_dataset.observations) > 0:
|
||||
# if not published yet, publish the roll dataset
|
||||
if not roll_dataset.is_published:
|
||||
roll_dataset.is_published = 1
|
||||
roll_dataset.is_hidden = 0
|
||||
roll_dataset.dataset_type = "timeseries"
|
||||
roll_dataset.observation_type = "simple"
|
||||
roll_dataset.value_type = "quantity"
|
||||
slope_dataset = pg_query.filter(
|
||||
Phenomenon.sta_identifier == "Slope").first()
|
||||
|
||||
if len(slope_dataset.observations) > 0:
|
||||
# if not published yet, publish the roll dataset
|
||||
if not slope_dataset.is_published:
|
||||
slope_dataset.is_published = 1
|
||||
slope_dataset.is_hidden = 0
|
||||
slope_dataset.dataset_type = "timeseries"
|
||||
slope_dataset.observation_type = "simple"
|
||||
slope_dataset.value_type = "quantity"
|
||||
temperature_dataset = pg_query.filter(
|
||||
Phenomenon.sta_identifier == "InSystemTemperature").first()
|
||||
|
||||
if len(temperature_dataset.observations) > 0:
|
||||
# if not published yet, publish the temperature dataset
|
||||
if not temperature_dataset.is_published:
|
||||
temperature_dataset.is_published = 1
|
||||
temperature_dataset.is_hidden = 0
|
||||
temperature_dataset.dataset_type = "timeseries"
|
||||
|
|
@ -71,48 +154,6 @@ def main():
|
|||
temperature_dataset.value_type = "quantity"
|
||||
pg_session.commit()
|
||||
|
||||
# max_id = pg_session.query(func.max(Observation.id)).scalar()
|
||||
for fb_observation in firebird_observations:
|
||||
# print(fb_observation.catena.name)
|
||||
if(fb_observation.roll is not None and roll_dataset is not None):
|
||||
# max_id = max_id + 1
|
||||
pg_roll_observation = Observation(
|
||||
# id=max_id,
|
||||
value_type='quantity',
|
||||
sampling_time_start=fb_observation.result_time,
|
||||
sampling_time_end=fb_observation.result_time,
|
||||
result_time=fb_observation.result_time,
|
||||
sta_identifier=str(uuid.uuid4()),
|
||||
value_quantity=fb_observation.roll
|
||||
)
|
||||
roll_dataset.observations.append(pg_roll_observation)
|
||||
if(fb_observation.pitch is not None and slope_dataset is not None):
|
||||
# max_id = max_id + 1
|
||||
pg_slope_observation = Observation(
|
||||
# id=max_id,
|
||||
value_type='quantity',
|
||||
sampling_time_start=fb_observation.result_time,
|
||||
sampling_time_end=fb_observation.result_time,
|
||||
result_time=fb_observation.result_time,
|
||||
sta_identifier=str(uuid.uuid4()),
|
||||
value_quantity=fb_observation.pitch
|
||||
)
|
||||
slope_dataset.observations.append(pg_slope_observation)
|
||||
if(fb_observation.temperature is not None and temperature_dataset is not None):
|
||||
# max_id = max_id + 1
|
||||
pg_temperature_observation = Observation(
|
||||
# id=max_id,
|
||||
value_type='quantity',
|
||||
sampling_time_start=fb_observation.result_time,
|
||||
sampling_time_end=fb_observation.result_time,
|
||||
result_time=fb_observation.result_time,
|
||||
sta_identifier=str(uuid.uuid4()),
|
||||
value_quantity=fb_observation.temperature
|
||||
)
|
||||
temperature_dataset.observations.append(pg_temperature_observation)
|
||||
# commit observations:
|
||||
pg_session.commit()
|
||||
|
||||
last_roll_observation = pg_session.query(Observation) \
|
||||
.filter(Observation.fk_dataset_id == roll_dataset.id) \
|
||||
.order_by(desc('sampling_time_start')) \
|
||||
|
|
@ -166,32 +207,108 @@ def main():
|
|||
temperature_dataset.first_time = first_temperature_observation.sampling_time_start
|
||||
temperature_dataset.first_value = first_temperature_observation.value_quantity
|
||||
temperature_dataset.fk_first_observation_id = first_temperature_observation.id
|
||||
|
||||
platform_exists = pg_session.query(Platform.id).filter_by(
|
||||
name=platform.lower()).scalar() is not None
|
||||
if not platform_exists:
|
||||
sensor_platform = Platform()
|
||||
# max_id = pg_session.query(func.max(Platform.id)).scalar()
|
||||
# sensor_platform.id = max_id + 1
|
||||
sensor_platform.sta_identifier = platform.lower()
|
||||
sensor_platform.identifier = platform.lower()
|
||||
sensor_platform.name = platform.lower()
|
||||
slope_dataset.platform = sensor_platform
|
||||
roll_dataset.platform = sensor_platform
|
||||
temperature_dataset.platform = sensor_platform
|
||||
else:
|
||||
sensor_platform = pg_session.query(Platform.id) \
|
||||
.filter(Platform.name == platform.lower()) \
|
||||
.first()
|
||||
slope_dataset.fk_platform_id = sensor_platform.id
|
||||
roll_dataset.fk_platform_id = sensor_platform.id
|
||||
temperature_dataset.fk_platform_id = sensor_platform.id
|
||||
|
||||
# commit dataset changes:
|
||||
pg_session.commit()
|
||||
|
||||
# for loop sensors end
|
||||
pg_session.close()
|
||||
# firebird_session.close()
|
||||
|
||||
|
||||
def create_db_observations(firebird_observations: List[FbObservation],
|
||||
roll_dataset: Dataset,
|
||||
slope_dataset: Dataset,
|
||||
temperature_dataset: Dataset,
|
||||
pg_session: session):
|
||||
''' insert new observations ito db '''
|
||||
roll_result = (
|
||||
pg_session.query(Observation.result_time)
|
||||
.filter(Observation.fk_dataset_id == roll_dataset.id)
|
||||
.all()
|
||||
)
|
||||
roll_result_time_db_list1: List[str] = list(chain(*roll_result))
|
||||
roll_result_time_db_list: List[float] = [time.mktime(
|
||||
date_obj.timetuple()) for date_obj in roll_result_time_db_list1]
|
||||
|
||||
slope_result = (
|
||||
pg_session.query(Observation.result_time)
|
||||
.filter(Observation.fk_dataset_id == slope_dataset.id)
|
||||
.all()
|
||||
)
|
||||
slope_result_time_db_list1: List[str] = list(chain(*slope_result))
|
||||
slope_result_time_db_list: List[float] = [time.mktime(
|
||||
date_obj.timetuple()) for date_obj in slope_result_time_db_list1]
|
||||
|
||||
temperature_result = (
|
||||
pg_session.query(Observation.result_time)
|
||||
.filter(Observation.fk_dataset_id == temperature_dataset.id)
|
||||
.all()
|
||||
)
|
||||
temperature_result_time_db_list1: List[str] = list(
|
||||
chain(*temperature_result))
|
||||
temperature_result_time_db_list: List[float] = [time.mktime(
|
||||
date_obj.timetuple()) for date_obj in temperature_result_time_db_list1]
|
||||
|
||||
for fb_observation in firebird_observations:
|
||||
# print(fb_observation.catena.name)
|
||||
if(fb_observation.roll is not None and roll_dataset is not None):
|
||||
value = fb_observation.roll
|
||||
add_observation(roll_dataset, fb_observation,
|
||||
value, roll_result_time_db_list)
|
||||
|
||||
if(fb_observation.pitch is not None and slope_dataset is not None):
|
||||
# max_id = max_id + 1
|
||||
value = fb_observation.pitch
|
||||
add_observation(slope_dataset, fb_observation,
|
||||
value, slope_result_time_db_list)
|
||||
|
||||
if(fb_observation.temperature is not None and temperature_dataset is not None):
|
||||
# max_id = max_id + 1
|
||||
value = fb_observation.temperature
|
||||
add_observation(temperature_dataset, fb_observation,
|
||||
value, temperature_result_time_db_list)
|
||||
|
||||
|
||||
def add_observation(
|
||||
dataset: Dataset,
|
||||
fb_observation: FbObservation,
|
||||
value: str,
|
||||
value_identifier_db_list: List[float]):
|
||||
''' check if observation still extists in db,
|
||||
otherwise add it to fb'''
|
||||
# ob_id: str = str(observation_json.get('id'))
|
||||
|
||||
# existing_observation: bool = (
|
||||
# db_session.query(Observation)
|
||||
# .filter(Observation.result_time == fb_observation.result_time,
|
||||
# Observation.fk_dataset_id == dataset.id)
|
||||
# .one_or_none()
|
||||
# )
|
||||
existing_observation: bool = time.mktime(
|
||||
fb_observation.result_time.timetuple()) in value_identifier_db_list
|
||||
# Can we insert this observation?
|
||||
if existing_observation is False:
|
||||
# insert bew observation
|
||||
new_observation: Observation = Observation()
|
||||
new_observation = Observation(
|
||||
# id=max_id,
|
||||
value_type='quantity',
|
||||
sampling_time_start=fb_observation.result_time,
|
||||
sampling_time_end=fb_observation.result_time,
|
||||
result_time=fb_observation.result_time,
|
||||
sta_identifier=str(uuid.uuid4()),
|
||||
value_identifier=str(time.mktime(
|
||||
fb_observation.result_time.timetuple())),
|
||||
value_quantity=value
|
||||
)
|
||||
dataset.observations.append(new_observation)
|
||||
print(f"new observation with result time {new_observation.result_time} "
|
||||
f"for inclinometer {dataset.procedure.name} succesfully imported!")
|
||||
else:
|
||||
print(f"observation with result time {fb_observation.result_time} "
|
||||
f"for inclinometer {dataset.procedure.name} already exists!")
|
||||
|
||||
|
||||
# -----------------------------------------------------------------------------
|
||||
if __name__ == "__main__":
|
||||
load_dotenv(find_dotenv())
|
||||
main()
|
||||
|
|
|
|||
197
automatic_inclinometer/import_observations_wolfsegg_kb1_old.py
Normal file
197
automatic_inclinometer/import_observations_wolfsegg_kb1_old.py
Normal file
|
|
@ -0,0 +1,197 @@
|
|||
""" import firebird, export to postgresql """
|
||||
#!/usr/bin/python# -*- coding: utf-8 -*-
|
||||
|
||||
from typing import List
|
||||
import uuid
|
||||
from sqlalchemy.orm import session
|
||||
from sqlalchemy import desc, asc
|
||||
from db.fb_models import (create_session, FbObservation, Catena)
|
||||
from db.models import (create_pg_session, Dataset, Observation, Procedure, Phenomenon, Platform)
|
||||
|
||||
def main():
|
||||
"""
|
||||
Main function.
|
||||
"""
|
||||
|
||||
# parameter:
|
||||
# sensor id in firebird db:
|
||||
# sensor_id = 1
|
||||
# # name of project area in firebird db
|
||||
# feature_of_interest = 'TAC003-020-0517' # Wolfsegg KB1
|
||||
# # sensor name in postgis db
|
||||
# sensor = 'wolfsegg_kb1_1'
|
||||
# platform = 'wolfsegg'
|
||||
|
||||
sensor_id = 0
|
||||
# name of project area in firebird db
|
||||
feature_of_interest = 'TAC003-020-0517' # Wolfsegg KB1
|
||||
# sensor name in postgis db
|
||||
sensor = 'wolfsegg_kb1_0'
|
||||
platform = 'wolfsegg_kb1_inclinometer'
|
||||
|
||||
firebird_session: session = create_session()
|
||||
# db_observation = session.query(Observation) \
|
||||
# .filter_by(name='John Snow').first()
|
||||
query = firebird_session.query(FbObservation).join(FbObservation.catena) \
|
||||
.filter(FbObservation.sensore == sensor_id) \
|
||||
.filter(Catena.name == feature_of_interest)
|
||||
# feature_of_interest = query.statement.compile(dialect=firebird.dialect())
|
||||
firebird_observations: List[FbObservation] = query.all()
|
||||
firebird_session.close()
|
||||
|
||||
pg_session: session = create_pg_session()
|
||||
# pg_datasets: List[Dataset] = pg_query.all()
|
||||
pg_query = pg_session.query(Dataset) \
|
||||
.join(Procedure) \
|
||||
.join(Phenomenon) \
|
||||
.filter(Procedure.sta_identifier == sensor.lower())
|
||||
# .join(Platform).all() \
|
||||
|
||||
|
||||
# roll_dataset = [x for x in pg_datasets if x.phenomenon.sta_identifier == "Roll"]
|
||||
roll_dataset = pg_query.filter(Phenomenon.sta_identifier == "Roll").first()
|
||||
roll_dataset.is_published = 1
|
||||
roll_dataset.is_hidden = 0
|
||||
roll_dataset.dataset_type = "timeseries"
|
||||
roll_dataset.observation_type = "simple"
|
||||
roll_dataset.value_type = "quantity"
|
||||
slope_dataset = pg_query.filter(
|
||||
Phenomenon.sta_identifier == "Slope").first()
|
||||
slope_dataset.is_published = 1
|
||||
slope_dataset.is_hidden = 0
|
||||
slope_dataset.dataset_type = "timeseries"
|
||||
slope_dataset.observation_type = "simple"
|
||||
slope_dataset.value_type = "quantity"
|
||||
temperature_dataset = pg_query.filter(
|
||||
Phenomenon.sta_identifier == "InSystemTemperature").first()
|
||||
temperature_dataset.is_published = 1
|
||||
temperature_dataset.is_hidden = 0
|
||||
temperature_dataset.dataset_type = "timeseries"
|
||||
temperature_dataset.observation_type = "simple"
|
||||
temperature_dataset.value_type = "quantity"
|
||||
pg_session.commit()
|
||||
|
||||
# max_id = pg_session.query(func.max(Observation.id)).scalar()
|
||||
for fb_observation in firebird_observations:
|
||||
# print(fb_observation.catena.name)
|
||||
if(fb_observation.roll is not None and roll_dataset is not None):
|
||||
# max_id = max_id + 1
|
||||
pg_roll_observation = Observation(
|
||||
# id=max_id,
|
||||
value_type='quantity',
|
||||
sampling_time_start=fb_observation.result_time,
|
||||
sampling_time_end=fb_observation.result_time,
|
||||
result_time=fb_observation.result_time,
|
||||
sta_identifier=str(uuid.uuid4()),
|
||||
value_quantity=fb_observation.roll
|
||||
)
|
||||
roll_dataset.observations.append(pg_roll_observation)
|
||||
if(fb_observation.pitch is not None and slope_dataset is not None):
|
||||
# max_id = max_id + 1
|
||||
pg_slope_observation = Observation(
|
||||
# id=max_id,
|
||||
value_type='quantity',
|
||||
sampling_time_start=fb_observation.result_time,
|
||||
sampling_time_end=fb_observation.result_time,
|
||||
result_time=fb_observation.result_time,
|
||||
sta_identifier=str(uuid.uuid4()),
|
||||
value_quantity=fb_observation.pitch
|
||||
)
|
||||
slope_dataset.observations.append(pg_slope_observation)
|
||||
if(fb_observation.temperature is not None and temperature_dataset is not None):
|
||||
# max_id = max_id + 1
|
||||
pg_temperature_observation = Observation(
|
||||
# id=max_id,
|
||||
value_type='quantity',
|
||||
sampling_time_start=fb_observation.result_time,
|
||||
sampling_time_end=fb_observation.result_time,
|
||||
result_time=fb_observation.result_time,
|
||||
sta_identifier=str(uuid.uuid4()),
|
||||
value_quantity=fb_observation.temperature
|
||||
)
|
||||
temperature_dataset.observations.append(pg_temperature_observation)
|
||||
# commit observations:
|
||||
pg_session.commit()
|
||||
|
||||
last_roll_observation = pg_session.query(Observation) \
|
||||
.filter(Observation.fk_dataset_id == roll_dataset.id) \
|
||||
.order_by(desc('sampling_time_start')) \
|
||||
.first()
|
||||
if last_roll_observation is not None:
|
||||
roll_dataset.last_time = last_roll_observation.sampling_time_start
|
||||
roll_dataset.last_value = last_roll_observation.value_quantity
|
||||
roll_dataset.fk_last_observation_id = last_roll_observation.id
|
||||
|
||||
last_slope_observation = pg_session.query(Observation) \
|
||||
.filter(Observation.fk_dataset_id == slope_dataset.id) \
|
||||
.order_by(desc('sampling_time_start')) \
|
||||
.first()
|
||||
if last_slope_observation is not None:
|
||||
slope_dataset.last_time = last_slope_observation.sampling_time_start
|
||||
slope_dataset.last_value = last_slope_observation.value_quantity
|
||||
slope_dataset.fk_last_observation_id = last_slope_observation.id
|
||||
|
||||
last_temperature_observation = pg_session.query(Observation) \
|
||||
.filter(Observation.fk_dataset_id == temperature_dataset.id) \
|
||||
.order_by(desc('sampling_time_start')) \
|
||||
.first()
|
||||
if last_temperature_observation is not None:
|
||||
temperature_dataset.last_time = last_temperature_observation.sampling_time_start
|
||||
temperature_dataset.last_value = last_temperature_observation.value_quantity
|
||||
temperature_dataset.fk_last_observation_id = last_temperature_observation.id
|
||||
|
||||
first_roll_observation = pg_session.query(Observation) \
|
||||
.filter(Observation.fk_dataset_id == roll_dataset.id) \
|
||||
.order_by(asc('sampling_time_start')) \
|
||||
.first()
|
||||
if first_roll_observation is not None:
|
||||
roll_dataset.first_time = first_roll_observation.sampling_time_start
|
||||
roll_dataset.first_value = first_roll_observation.value_quantity
|
||||
roll_dataset.fk_first_observation_id = first_roll_observation.id
|
||||
|
||||
first_slope_observation = pg_session.query(Observation) \
|
||||
.filter(Observation.fk_dataset_id == slope_dataset.id) \
|
||||
.order_by(asc('sampling_time_start')) \
|
||||
.first()
|
||||
if first_slope_observation is not None:
|
||||
slope_dataset.first_time = first_slope_observation.sampling_time_start
|
||||
slope_dataset.first_value = first_slope_observation.value_quantity
|
||||
slope_dataset.fk_first_observation_id = first_slope_observation.id
|
||||
|
||||
first_temperature_observation = pg_session.query(Observation) \
|
||||
.filter(Observation.fk_dataset_id == temperature_dataset.id) \
|
||||
.order_by(asc('sampling_time_start')) \
|
||||
.first()
|
||||
if first_temperature_observation is not None:
|
||||
temperature_dataset.first_time = first_temperature_observation.sampling_time_start
|
||||
temperature_dataset.first_value = first_temperature_observation.value_quantity
|
||||
temperature_dataset.fk_first_observation_id = first_temperature_observation.id
|
||||
|
||||
platform_exists = pg_session.query(Platform.id).filter_by(
|
||||
name=platform.lower()).scalar() is not None
|
||||
if not platform_exists:
|
||||
sensor_platform = Platform()
|
||||
# max_id = pg_session.query(func.max(Platform.id)).scalar()
|
||||
# sensor_platform.id = max_id + 1
|
||||
sensor_platform.sta_identifier = platform.lower()
|
||||
sensor_platform.identifier = platform.lower()
|
||||
sensor_platform.name = platform.lower()
|
||||
slope_dataset.platform = sensor_platform
|
||||
roll_dataset.platform = sensor_platform
|
||||
temperature_dataset.platform = sensor_platform
|
||||
else:
|
||||
sensor_platform = pg_session.query(Platform.id) \
|
||||
.filter(Platform.name == platform.lower()) \
|
||||
.first()
|
||||
slope_dataset.fk_platform_id = sensor_platform.id
|
||||
roll_dataset.fk_platform_id = sensor_platform.id
|
||||
temperature_dataset.fk_platform_id = sensor_platform.id
|
||||
|
||||
# commit dataset changes:
|
||||
pg_session.commit()
|
||||
pg_session.close()
|
||||
|
||||
|
||||
# -----------------------------------------------------------------------------
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -0,0 +1,195 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
"""This module does blah blah."""
|
||||
|
||||
from ast import List
|
||||
import requests
|
||||
# from insert_sensor.transactional import insert_sensor
|
||||
from insert_sensor.wrapper import (Offering, FoI, Procedure, SensorType)
|
||||
# import json
|
||||
|
||||
|
||||
class Sos():
|
||||
"""
|
||||
A class to represent a sos service.
|
||||
...
|
||||
|
||||
Attributes
|
||||
----------
|
||||
sosurl : str
|
||||
first name of the person
|
||||
token : str
|
||||
token to access soso service
|
||||
"""
|
||||
|
||||
def __init__(self, url, token=''):
|
||||
self.sosurl = str(url) # url to access the SOS
|
||||
self.token = str(token) # security token, optional
|
||||
# Test if URL exists
|
||||
try:
|
||||
test = requests.get(self.sosurl)
|
||||
test.raise_for_status()
|
||||
except requests.HTTPError:
|
||||
print("The URL is not valid")
|
||||
|
||||
# Python3 code here creating class
|
||||
|
||||
|
||||
class Sensor:
|
||||
"""
|
||||
A class to represent an input sensor.
|
||||
...
|
||||
|
||||
Attributes
|
||||
----------
|
||||
name : str
|
||||
first name of the person
|
||||
x : float
|
||||
token to access soso service
|
||||
y : float
|
||||
token to access soso service
|
||||
"""
|
||||
|
||||
def __init__(self, name: str, x_coord: float, y_coord: float):
|
||||
self.name = name
|
||||
self.x_coord = x_coord
|
||||
self.y_coord = y_coord
|
||||
|
||||
|
||||
def main():
|
||||
"""
|
||||
main function
|
||||
"""
|
||||
sos_url = 'https://geomon.geologie.ac.at/52n-sos-webapp/service'
|
||||
|
||||
# creating list
|
||||
sensor_list: List[Sensor] = []
|
||||
|
||||
# appending instances to list 48.0889892,13.5583703
|
||||
sensor_list.append(
|
||||
Sensor('ampflwang_kb1_0', 13.5583703, 48.0889892))
|
||||
sensor_list.append(
|
||||
Sensor('ampflwang_kb1_1', 13.5583703, 48.0889892))
|
||||
sensor_list.append(
|
||||
Sensor('ampflwang_kb1_2', 13.5583703, 48.0889892))
|
||||
sensor_list.append(
|
||||
Sensor('ampflwang_kb1_3', 13.5583703, 48.0889892))
|
||||
sensor_list.append(
|
||||
Sensor('ampflwang_kb1_4', 13.5583703, 48.0889892))
|
||||
sensor_list.append(
|
||||
Sensor('ampflwang_kb1_5', 13.5583703, 48.0889892))
|
||||
sensor_list.append(
|
||||
Sensor('ampflwang_kb1_6', 13.5583703, 48.0889892))
|
||||
sensor_list.append(
|
||||
Sensor('ampflwang_kb1_7', 13.5583703, 48.0889892))
|
||||
sensor_list.append(
|
||||
Sensor('ampflwang_kb1_8', 13.5583703, 48.0889892))
|
||||
sensor_list.append(
|
||||
Sensor('ampflwang_kb1_9', 13.5583703, 48.0889892))
|
||||
|
||||
sensor: Sensor
|
||||
for sensor in sensor_list:
|
||||
# platform ampflwang_kb1_inclinometer
|
||||
offering = Offering(
|
||||
"https://geomon.geologie.ac.at/52n-sos-webapp/api/offerings/",
|
||||
sensor.name,
|
||||
"Bohrloch, Ampflwang Inklinometer"
|
||||
)
|
||||
procedure = Procedure(sensor.name, sensor.name)
|
||||
foi = FoI("degree", "m", (sensor.x_coord, sensor.y_coord, 0.0),
|
||||
"GSA02A-010-1210", "Ampflwang KB1")
|
||||
# now insert sensor via rest service:
|
||||
sensor_type=SensorType("inclinometer")
|
||||
post_data=insert_sensor(offering, procedure, foi, sensor_type)
|
||||
# print(post_data)
|
||||
headers={'Accept': 'application/json'}
|
||||
request=requests.post(sos_url, headers = headers, json = post_data)
|
||||
print(request.text)
|
||||
|
||||
def insert_sensor(offering, procedure, foi, sensor_type):
|
||||
"""
|
||||
Prepares the body of a InsertSensor request for JSON biding.
|
||||
:param offering: an instance of class Offering.Type object.
|
||||
:param Procedure: instance of class Procedure. type object.
|
||||
:param foi: feature of interest. Instance of FoI
|
||||
:param sensor_type: SensorType object
|
||||
:return: valid body for an InsertSensor request.
|
||||
"""
|
||||
|
||||
# shortName = offering.name # string
|
||||
# longName = 'Sibratsgfall test' # string
|
||||
|
||||
# Offering values
|
||||
gml_id='\"' + str(procedure.id) + '\"' # Offering name, double quoted
|
||||
offering_name=offering.name
|
||||
offering_label=offering.label
|
||||
# offID = offering.fullId # URL format of full id
|
||||
|
||||
# featureName = featureID = cordX = cordY = height = h_unit = z_unit = coordinates = ""
|
||||
# check if feature of interest should be declare
|
||||
if foi is not None:
|
||||
# feature_id = 'https://geomon.geologie.ac.at/52n-sos-webapp/api/features/' + \
|
||||
# str(foi.fid) # URL format
|
||||
cord_x=str(foi.x) # longitude degrees, float
|
||||
cord_y=str(foi.y) # latitude degrees, float
|
||||
coordinates=cord_x + " " + cord_y
|
||||
height=str(foi.z) # altitude in meters, float
|
||||
# h_unit = foi.Hunit # units for horizontal coordinates
|
||||
# z_unit = foi.Vunit # units for altitude
|
||||
feature_id=foi.fid # "feature location"
|
||||
feature_name=foi.name # "feature location"
|
||||
else:
|
||||
pass
|
||||
|
||||
procedure_name=procedure.name
|
||||
procedure_identifier=procedure.id # URL,
|
||||
obs_types=[]
|
||||
output_list='' # output list element for describe procedure
|
||||
properties_list=[]
|
||||
for attr in sensor_type.pattern["attributes"]:
|
||||
obs_prop_name='\"' + attr[0] + '\"' # attribute name
|
||||
# print(obs_prop_name)
|
||||
unit_name=sensor_type.om_types[attr[1]] # om type
|
||||
# magnitud = a # ??
|
||||
|
||||
obs_name=obs_prop_name.replace('\"', '')
|
||||
obs_name="".join(obs_name.split()) # observable property name
|
||||
output='<sml:output name=' + obs_prop_name + '><swe:Quantity definition=' + \
|
||||
'\"' + (obs_name) + '\"' + \
|
||||
'></swe:Quantity></sml:output>'
|
||||
output_list=output_list + output
|
||||
# add property identifier to the list.
|
||||
properties_list.append(obs_name)
|
||||
# prepare list of measurement types
|
||||
# A sensor can not registry duplicated sensor types.
|
||||
this_type="http://www.opengis.net/def/observationType/OGC-OM/2.0/"+unit_name
|
||||
if this_type not in obs_types: # when new type appears
|
||||
obs_types.append(this_type)
|
||||
else:
|
||||
continue
|
||||
|
||||
# Unit of measurement:
|
||||
unit_name='\"' + procedure.name + '\"' # double quoted string
|
||||
# unit = omType # one of the MO measurement types
|
||||
|
||||
body={
|
||||
"request": "InsertSensor",
|
||||
"service": "SOS",
|
||||
"version": "2.0.0",
|
||||
"procedureDescriptionFormat": "http://www.opengis.net/sensorml/2.0",
|
||||
"procedureDescription": f'<sml:PhysicalSystem gml:id={gml_id} xmlns:swes=\"http://www.opengis.net/swes/2.0\" xmlns:sos=\"http://www.opengis.net/sos/2.0\" xmlns:swe=\"http://www.opengis.net/swe/2.0\" xmlns:sml=\"http://www.opengis.net/sensorml/2.0\" xmlns:gml=\"http://www.opengis.net/gml/3.2\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" xmlns:gco=\"http://www.isotc211.org/2005/gco\" xmlns:gmd=\"http://www.isotc211.org/2005/gmd\"><gml:identifier codeSpace=\"uniqueID\">{procedure_identifier}</gml:identifier><sml:identification><sml:IdentifierList><sml:identifier><sml:Term definition=\"urn:ogc:def:identifier:OGC:1.0:longName\"><sml:label>longName</sml:label><sml:value>{procedure_name}</sml:value></sml:Term></sml:identifier><sml:identifier><sml:Term definition=\"urn:ogc:def:identifier:OGC:1.0:shortName\"><sml:label>shortName</sml:label><sml:value>{procedure_name}</sml:value></sml:Term></sml:identifier></sml:IdentifierList></sml:identification><sml:capabilities name=\"offerings\"><sml:CapabilityList><sml:capability name=\"offeringID\"><swe:Text definition=\"urn:ogc:def:identifier:OGC:offeringID\"><swe:label>{offering_label}</swe:label><swe:value>{offering_name}</swe:value></swe:Text></sml:capability></sml:CapabilityList></sml:capabilities><sml:capabilities name=\"metadata\"><sml:CapabilityList><!-- status indicates, whether sensor is insitu (true) or remote (false) --><sml:capability name=\"insitu\"><swe:Boolean definition=\"insitu\"><swe:value>true</swe:value></swe:Boolean></sml:capability><!-- status indicates, whether sensor is mobile (true) or fixed/stationary (false) --><sml:capability name=\"mobile\"><swe:Boolean definition=\"mobile\"><swe:value>false</swe:value></swe:Boolean></sml:capability></sml:CapabilityList></sml:capabilities><sml:featuresOfInterest><sml:FeatureList definition=\"http://www.opengis.net/def/featureOfInterest/identifier\"><swe:label>featuresOfInterest</swe:label><sml:feature><sams:SF_SpatialSamplingFeature xmlns:sams=\"http://www.opengis.net/samplingSpatial/2.0\" gml:id=\"ssf_b3a826dd44012201b01323232323041f7a92e0cc47260eb9888f6a4e9f747\"><gml:identifier codeSpace=\"http://www.opengis.net/def/nil/OGC/0/unknown\">{feature_id}</gml:identifier><gml:name codeSpace=\"http://www.opengis.net/def/nil/OGC/0/unknown\">{feature_name}</gml:name><sf:type xmlns:sf=\"http://www.opengis.net/sampling/2.0\" xlink:href=\"http://www.opengis.net/def/samplingFeatureType/OGC-OM/2.0/SF_SamplingPoint\"/><sf:sampledFeature xmlns:sf=\"http://www.opengis.net/sampling/2.0\" xlink:href=\"http://www.opengis.net/def/nil/OGC/0/unknown\"/><sams:shape><ns:Point xmlns:ns=\"http://www.opengis.net/gml/3.2\" ns:id=\"Point_ssf_b3a826dd44012201b013c90c51da28c041f7a92e0cc47260eb9888f6a4e9f747\"><ns:pos srsName=\"http://www.opengis.net/def/crs/EPSG/0/4326\">{coordinates}</ns:pos></ns:Point></sams:shape></sams:SF_SpatialSamplingFeature></sml:feature></sml:FeatureList></sml:featuresOfInterest><sml:outputs><sml:OutputList><sml:output name=\"Slope\"><swe:Quantity definition=\"Slope\"><swe:label>Slope</swe:label><swe:uom code=\"deg\"/></swe:Quantity></sml:output><sml:output name=\"Roll\"><swe:Quantity definition=\"Roll\"><swe:label>Roll</swe:label><swe:uom code=\"deg\"/></swe:Quantity></sml:output><sml:output name=\"InSystemTemperature\"><swe:Quantity definition=\"InSystemTemperature\"><swe:label>InSystemTemperature</swe:label><swe:uom code=\"degC\"/></swe:Quantity></sml:output></sml:OutputList></sml:outputs><sml:position><swe:Vector referenceFrame=\"urn:ogc:def:crs:EPSG::4326\"><swe:coordinate name=\"easting\"><swe:Quantity axisID=\"x\"><swe:uom code=\"degree\"/><swe:value>{cord_x}</swe:value></swe:Quantity></swe:coordinate><swe:coordinate name=\"northing\"><swe:Quantity axisID=\"y\"><swe:uom code=\"degree\"/><swe:value>{cord_y}</swe:value></swe:Quantity></swe:coordinate><swe:coordinate name=\"altitude\"><swe:Quantity axisID=\"z\"><swe:uom code=\"m\"/><swe:value>{height}</swe:value></swe:Quantity></swe:coordinate></swe:Vector></sml:position></sml:PhysicalSystem>',
|
||||
"observableProperty": [
|
||||
"Slope",
|
||||
"Roll",
|
||||
"InSystemTemperature"
|
||||
],
|
||||
"observationType": [
|
||||
"http://www.opengis.net/def/observationType/OGC-OM/2.0/OM_Measurement"
|
||||
],
|
||||
"featureOfInterestType":
|
||||
"http://www.opengis.net/def/samplingFeatureType/OGC-OM/2.0/SF_SamplingPoint"
|
||||
}
|
||||
return body
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
|
|
@ -64,47 +64,47 @@ def main():
|
|||
# creating list
|
||||
sensor_list: List[Sensor] = []
|
||||
|
||||
# appending instances to list
|
||||
# appending instances to list 48.1064354,13.6731638
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_0', 13.808378638676, 47.882871028831))
|
||||
# sensor_list.append(
|
||||
# Sensor('wolfsegg_kb1_1', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_0', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_2', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_1', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_3', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_2', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_4', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_3', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_5', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_4', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_6', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_5', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_7', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_6', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_8', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_7',13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_9', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_8', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_10', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_9', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_11', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_10', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_12', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_11', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_13', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_12', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_14', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_13', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_15', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_14', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_16', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_15', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_17', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_16', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_18', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_17', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_19', 13.808378638676, 47.882871028831))
|
||||
Sensor('wolfsegg_kb1_18', 13.6731638, 48.1064354))
|
||||
sensor_list.append(
|
||||
Sensor('wolfsegg_kb1_19', 13.6731638, 48.1064354))
|
||||
|
||||
sensor: Sensor
|
||||
for sensor in sensor_list:
|
||||
|
|
|
|||
|
|
@ -87,153 +87,153 @@ def main():
|
|||
sensor_list.append(
|
||||
Sensor('inclino1_01', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_02', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_03',13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_04', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_05', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_06', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_07', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_08', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_09', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_10', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_11', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_12', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_13', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_14', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_15', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_16', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_17', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_18', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_19', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino1_20', 13.816940062459931, 47.883893347112163,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch1)"))
|
||||
|
||||
## inclino2_04 bis inclino2_22
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_04', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_05', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_06', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_07', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_08', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_09', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_10', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_11', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_12', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_13', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_14', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_15', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_16',13.817740197926463, 47.883901327648893,
|
||||
"bohrloch1-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_17', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_18',13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_19', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
sensor_list.append(
|
||||
Sensor('inclino2_20', 13.817740197926463, 47.883901327648893,
|
||||
"bohrloch2-glasfaser-gschliefgraben",
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Gmunden)"))
|
||||
"Glasfaser Untersuchungen am Gschliefgraben (Bohrloch2)"))
|
||||
|
||||
sensor: Sensor
|
||||
for sensor in sensor_list:
|
||||
|
|
|
|||
|
|
@ -25,7 +25,7 @@ from db.models import (
|
|||
def main():
|
||||
''' main method '''
|
||||
pg_session: session = create_pg_session()
|
||||
platform_sta_identifier = "pechgraben_piezometer"
|
||||
platform_sta_identifier = "gschliefgraben_piezometer"
|
||||
# sensor = "bohrloch1"
|
||||
# sensor_list = os.environ.get('PIEZOMETER_GSCHLIEFGRABEN_SENSORS', [])
|
||||
sensor_list = json.loads(os.environ['PIEZOMETER_GSCHLIEFGRABEN_SENSORS'])
|
||||
|
|
|
|||
1
voegelsberg/import_feature_sensor.py
Normal file
1
voegelsberg/import_feature_sensor.py
Normal file
|
|
@ -0,0 +1 @@
|
|||
# https://lists.ogc.org/pipermail/sensorml/2008-September/000573.html
|
||||
Loading…
Reference in New Issue
Block a user