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- add geometry observations (without csearch_path in model.py)

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This commit is contained in:
Arno Kaimbacher 2022-04-07 11:24:43 +02:00
parent 5b78dede0b
commit 86c3c6eb32
3 changed files with 22 additions and 21 deletions
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36
voegelsberg/import_tachymeter_observations.py
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@ -75,30 +75,30 @@ def main():
if not location_dataset.is_published:
location_dataset.is_published = 1
location_dataset.is_hidden = 0
location_dataset.dataset_type = "timeseries"
location_dataset.dataset_type = "trajectory"
location_dataset.observation_type = "simple"
location_dataset.value_type = "geometry"
pg_session.commit()
last_location_observation = pg_session.query(Observation) \
.filter(Observation.fk_dataset_id == location_dataset.id) \
.order_by(desc('sampling_time_start')) \
.first()
if last_location_observation is not None:
location_dataset.last_time = last_location_observation.sampling_time_start
#location_dataset.last_value = last_location_observation.value_quantity
location_dataset.fk_last_observation_id = last_location_observation.id
# last_location_observation = pg_session.query(Observation) \
# .filter(Observation.fk_dataset_id == location_dataset.id) \
# .order_by(desc('sampling_time_start')) \
# .first()
# if last_location_observation is not None:
# location_dataset.last_time = last_location_observation.sampling_time_start
# #location_dataset.last_value = last_location_observation.value_quantity
# location_dataset.fk_last_observation_id = last_location_observation.id
first_location_observation = pg_session.query(Observation) \
.filter(Observation.fk_dataset_id == location_dataset.id) \
.order_by(asc('sampling_time_start')) \
.first()
if first_location_observation is not None:
location_dataset.first_time = first_location_observation.sampling_time_start
# roll_dataset.first_value = first_location_observation.value_quantity
location_dataset.fk_first_observation_id = first_location_observation.id
# first_location_observation = pg_session.query(Observation) \
# .filter(Observation.fk_dataset_id == location_dataset.id) \
# .order_by(asc('sampling_time_start')) \
# .first()
# if first_location_observation is not None:
# location_dataset.first_time = first_location_observation.sampling_time_start
# # roll_dataset.first_value = first_location_observation.value_quantity
# location_dataset.fk_first_observation_id = first_location_observation.id
pg_session.commit()
# pg_session.commit()
# for loop sensors end
pg_session.close()