- 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
12 changed files with 1145 additions and 298 deletions
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@ -37,14 +37,14 @@ def main():
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# sensor name in postgis db
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# sensor = 'wolfsegg_kb1_0'
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platform = 'laakirchen_inclinometer'
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sensor_env_list = os.getenv('LAAKIRCHEN_SENSORS').replace('\n', '')
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sensor_env_list = os.getenv('LAAKIRCHEN_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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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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@ -53,22 +53,24 @@ def main():
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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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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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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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# 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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@ -77,20 +79,20 @@ def main():
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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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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 = 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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@ -107,8 +109,7 @@ 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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@ -121,12 +122,19 @@ def main():
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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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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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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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@ -135,7 +143,7 @@ def main():
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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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@ -144,7 +152,7 @@ def main():
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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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@ -154,7 +162,6 @@ def main():
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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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@ -213,80 +220,95 @@ 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()
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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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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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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(date_obj.timetuple()) for date_obj in roll_result_time_db_list1]
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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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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(date_obj.timetuple()) for date_obj in slope_result_time_db_list1]
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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(chain(*temperature_result))
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temperature_result_time_db_list : List[float]= [time.mktime(date_obj.timetuple()) for date_obj in temperature_result_time_db_list1]
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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, value, roll_result_time_db_list)
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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, value, slope_result_time_db_list)
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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, value, temperature_result_time_db_list)
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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(dataset: Dataset, fb_observation: FbObservation, value: str, value_identifier_db_list: List[float]):
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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, Observation.fk_dataset_id == dataset.id)
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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(fb_observation.result_time.timetuple()) in value_identifier_db_list
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# Can we insert this observation?
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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(fb_observation.result_time.timetuple())),
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value_quantity=value
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)
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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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@ -294,6 +316,7 @@ def add_observation(dataset: Dataset, fb_observation: FbObservation, value: str,
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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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