- add geometry observations (without csearch_path in model.py)
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@ -34,7 +34,7 @@ def create_pg_session() -> sessionmaker:
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db_url = os.environ.get("POSTGIS_DBURL")
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engine = create_engine(
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"postgresql+psycopg2://" + db_user + ":" + db_password + "@" + db_url,
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connect_args={'options': f'-csearch_path={dbschema}'},
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# connect_args={'options': f'-csearch_path={dbschema}'},
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isolation_level="READ UNCOMMITTED")
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session_maker = sessionmaker(bind=engine)
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_session = session_maker()
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@ -190,7 +190,7 @@ class Observation(Base):
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value_identifier = Column('value_identifier', String)
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value_quantity = Column('value_quantity', Numeric(20, 10), nullable=True)
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value_text = Column('value_text', String, nullable=True)
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value_geometry = Column(Geometry(geometry_type='POLYGON', srid=4326, dimension=3), nullable=True)
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value_geometry = Column(Geometry(geometry_type='POINTZ', srid=4326, dimension=3), nullable=True)
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fk_dataset_id = Column(Integer, ForeignKey(
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'gba.dataset.dataset_id'), nullable=False)
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@ -79,5 +79,6 @@ https://stackoverflow.com/questions/51737548/how-to-set-primary-key-auto-increme
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UPDATE pg_extension SET extrelocatable = TRUE WHERE extname = 'postgis';
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ALTER EXTENSION postgis SET SCHEMA gba;
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ALTER EXTENSION postgis SET SCHEMA gba;
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ALTER DATABASE sos_db SET search_path TO gba, public;
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@ -75,30 +75,30 @@ def main():
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if not location_dataset.is_published:
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location_dataset.is_published = 1
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location_dataset.is_hidden = 0
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location_dataset.dataset_type = "timeseries"
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location_dataset.dataset_type = "trajectory"
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location_dataset.observation_type = "simple"
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location_dataset.value_type = "geometry"
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pg_session.commit()
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last_location_observation = pg_session.query(Observation) \
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.filter(Observation.fk_dataset_id == location_dataset.id) \
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.order_by(desc('sampling_time_start')) \
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.first()
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if last_location_observation is not None:
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location_dataset.last_time = last_location_observation.sampling_time_start
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#location_dataset.last_value = last_location_observation.value_quantity
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location_dataset.fk_last_observation_id = last_location_observation.id
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# last_location_observation = pg_session.query(Observation) \
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# .filter(Observation.fk_dataset_id == location_dataset.id) \
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# .order_by(desc('sampling_time_start')) \
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# .first()
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# if last_location_observation is not None:
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# location_dataset.last_time = last_location_observation.sampling_time_start
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# #location_dataset.last_value = last_location_observation.value_quantity
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# location_dataset.fk_last_observation_id = last_location_observation.id
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first_location_observation = pg_session.query(Observation) \
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.filter(Observation.fk_dataset_id == location_dataset.id) \
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.order_by(asc('sampling_time_start')) \
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.first()
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if first_location_observation is not None:
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location_dataset.first_time = first_location_observation.sampling_time_start
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# roll_dataset.first_value = first_location_observation.value_quantity
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location_dataset.fk_first_observation_id = first_location_observation.id
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# first_location_observation = pg_session.query(Observation) \
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# .filter(Observation.fk_dataset_id == location_dataset.id) \
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# .order_by(asc('sampling_time_start')) \
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# .first()
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# if first_location_observation is not None:
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# location_dataset.first_time = first_location_observation.sampling_time_start
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# # roll_dataset.first_value = first_location_observation.value_quantity
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# location_dataset.fk_first_observation_id = first_location_observation.id
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pg_session.commit()
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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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