- add tachy,eter observations

notes.txt

@@ -67,4 +67,17 @@ https://stackoverflow.com/questions/51737548/how-to-set-primary-key-auto-increme
 1. Pechgraben images
 2. Gschliefgraben Piezometer
 3. Gschliefgraben Glasfaser
-4. Laakirchen Inklinometer
+4. Laakirchen Inklinometer
+
+
+
+
+
+
+
+
+
+
+UPDATE pg_extension SET extrelocatable = TRUE WHERE extname = 'postgis';
+
+ALTER EXTENSION postgis SET SCHEMA gba;

voegelsberg/import_tachymeter_observations.py

@@ -6,6 +6,7 @@ import uuid
 from pyproj import Transformer
 # from insert_sensor.wrapper import (Offering, FoI, Procedure)
 from sqlalchemy.orm import session
+from sqlalchemy import asc, desc
 from db.models import (
     Observation,
     create_pg_session,
@@ -66,8 +67,10 @@ def main():
                     .first()
                 location_dataset.fk_format_id = sensor_format.id
             pg_session.commit()
-            successfully_inserted = create_observation(location_dataset, row, pg_session)
+            successfully_inserted = create_observation(
-            
+                location_dataset, row, pg_session)
+
+            # commit new observations:
             if successfully_inserted:
                 if not location_dataset.is_published:
                     location_dataset.is_published = 1
@@ -75,30 +78,37 @@ def main():
                     location_dataset.dataset_type = "timeseries"
                     location_dataset.observation_type = "simple"
                     location_dataset.value_type = "geometry"
+                pg_session.commit()
 
-            # if sensor_id in data:
+            last_location_observation = pg_session.query(Observation) \
-            #     create_observation(elevation_dataset, sensor_id, data, pg_session)
+            .filter(Observation.fk_dataset_id == location_dataset.id) \
-            #     pg_session.commit()
+            .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
 
-            # offering = Offering(
+            first_location_observation = pg_session.query(Observation) \
-            #     "https://geomon.geologie.ac.at/52n-sos-webapp/api/offerings/",
+            .filter(Observation.fk_dataset_id == location_dataset.id) \
-            #     sensor_name,
+            .order_by(asc('sampling_time_start')) \
-            #     "Vögelsberg Tachymeter"
+            .first()
-            # )
+            if first_location_observation is not None:
-            # procedure = Procedure(sensor_name, sensor_name)
+                location_dataset.first_time = first_location_observation.sampling_time_start
-            # foi_name = "origin of " + sensor_name
+                # roll_dataset.first_value = first_location_observation.value_quantity
-            # foi = FoI("degree", "m", (cord_x, cord_y, z_1),
+                location_dataset.fk_first_observation_id = first_location_observation.id
-            #           sensor_name, foi_name)
+
-            # xml = get_xml(offering, procedure,  foi, result_time, identifier)
+            pg_session.commit()
-            # print(xml)
+
-            exit()
+        # for loop sensors end
+        pg_session.close()
 
 
 def create_observation(location_dataset: Dataset, data: dict[any, any],  pg_session: session):
     ''' create observation in db'''
     # print("Sesnor key exist in JSON data")
     transprojr = Transformer.from_crs(31254, 4326, always_xy=True)
-    x_1, y_1 = (float(data['Y']), float(data['X']))
+    x_1, y_1, z_1 = (float(data['Y']), float(data['X']), float(data['H']))
     cord_x, cord_y = map(float, transprojr.transform(x_1, y_1))
     print((cord_x, cord_y))  # (11.597409730065536, 47.27196543449542)
 
@@ -123,8 +133,8 @@ def create_observation(location_dataset: Dataset, data: dict[any, any],  pg_sess
         new_observation.result_time = date_obj
         new_observation.sampling_time_start = new_observation.result_time
         new_observation.sampling_time_end = new_observation.result_time
-        new_observation.value_type = "quantity"
+        new_observation.value_type = "geometry"
-        new_observation.value_geometry = f'SRID=4326;POINT({cord_x} {cord_y})'
+        new_observation.value_geometry = f'SRID=4326;POINTZ({cord_x} {cord_y} {z_1})'
         new_observation.fk_dataset_id = location_dataset.id
         pg_session.add(new_observation)
         print(f"new observation with result time {new_observation.result_time} "