Add wells_tata data version 2.0.0 and update geojson files

Author: bdestombe

src/nhflodata/data/mockup/wells_tata/v2.0.0/prepare_tata_data.py

@@ -0,0 +1,41 @@
+import geopandas as gpd
+import pandas as pd
+from shapely.geometry import Point
+
+gdf_tata_zout = gpd.GeoDataFrame(
+    pd.DataFrame(
+        data=[
+            ["A1", -180.0, -120.0, 1.0, 1.0, Point(0, 1)],
+            ["A2", -180.0, -120.0, 1.0, 1.0, Point(0, 1)],
+        ],
+        columns=["Name", "botm", "top", "Q_Mm3/a", "Q_m3/d", "geometry"],
+    ),
+    crs="EPSG:28992",
+)
+
+# retreives top and botm from the model
+gdf_tata_zoet = gpd.GeoDataFrame(
+    pd.DataFrame(
+        data=[
+            ["B1", 1.0, 1.0, Point(0, 1)],
+            ["B2", 1.0, 1.0, Point(0, 1)],
+        ],
+        columns=["Name", "Q_Mm3/a", "Q_m3/d", "geometry"],
+    ),
+    crs="EPSG:28992",
+)
+
+gdf_tata_zout.to_file("tata_zoutwaterbronnen.geojson", driver="GeoJSON")
+gdf_tata_zoet.to_file("tata_zoetwaterbronnen.geojson", driver="GeoJSON")
+
+zoet_fp = "/workspaces/NHFLO/models/modelscripts/09pwnmodel2/data/zoetwaterbronnen_tata.shp"
+zout_fp = "/workspaces/NHFLO/models/modelscripts/09pwnmodel2/data/zoutwaterbronnen_tata.shp"
+
+zout = gpd.read_file(zout_fp)[["Name", "botm", "top", "Q_Mm3/a", "Q_m3/d", "geometry"]]
+zoet = gpd.read_file(zoet_fp)[["Name", "Q_Mm3/a", "Q_m3/d", "geometry"]]
+
+zoetzout = pd.concat((zoet, zout))
+print(f"Extent: {zoetzout.total_bounds}")
+
+zout.to_file("tata_zoutwaterbronnen_unaltered.geojson", driver="GeoJSON")
+zoet.to_file("tata_zoetwaterbronnen_unaltered.geojson", driver="GeoJSON")

src/nhflodata/data/mockup/wells_tata/v2.0.0/tata_zoetwaterbronnen.geojson

@@ -0,0 +1,8 @@
+{
+"type": "FeatureCollection",
+"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:EPSG::28992" } },
+"features": [
+{ "type": "Feature", "properties": { "Name": "B1", "Q_Mm3/a": 1.0, "Q_m3/d": 1.0 }, "geometry": { "type": "Point", "coordinates": [ 102158.0, 500741.0 ] } },
+{ "type": "Feature", "properties": { "Name": "B2", "Q_Mm3/a": 1.0, "Q_m3/d": 1.0 }, "geometry": { "type": "Point", "coordinates": [ 102158.0, 500741.0 ] } }
+]
+}

src/nhflodata/data/mockup/wells_tata/v2.0.0/tata_zoutwaterbronnen.geojson

@@ -0,0 +1,8 @@
+{
+"type": "FeatureCollection",
+"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:EPSG::28992" } },
+"features": [
+{ "type": "Feature", "properties": { "Name": "A1", "botm": -180.0, "top": -120.0, "Q_Mm3/a": 1.0, "Q_m3/d": 1.0 }, "geometry": { "type": "Point", "coordinates": [ 0.0, 1.0 ] } },
+{ "type": "Feature", "properties": { "Name": "A2", "botm": -180.0, "top": -120.0, "Q_Mm3/a": 1.0, "Q_m3/d": 1.0 }, "geometry": { "type": "Point", "coordinates": [ 0.0, 1.0 ] } }
+]
+}

src/nhflodata/data/repository.yaml

@@ -208,6 +208,28 @@ data:
         previous_version: 0.0.0
         log: Based on the dawaco data of 05-03-2024 and plenty data until 23-01-2024.
   wells_tata:
+    - version_nhflo: 2.0.0
+      owner: PWN, TATA.
+      publication_date: "2024-03-18"
+      version_owner: 2.0.0
+      description_short: Approximate well data of Tata Steel
+      description_long:
+        Wells of Tata Steel. Extraction rates are negative and infiltration
+        positive. All rates in m3/h.
+      contact: bas.des.tombe@pwn.nl
+      timezone: Europe/Amsterdam
+      extent:
+        - 100737
+        - 498760
+        - 103206
+        - 500969
+      paths:
+        local: wells_tata/v1.0.0
+        nhflo_server: /data/wells_tata/v1.0.0
+        mockup: mockup/wells_tata/v1.0.0
+      changelog:
+        previous_version: 1.0.0
+        log: Moved coordinates to center of Tata.
     - version_nhflo: 1.0.0
       owner: PWN, TATA.
       publication_date: "2024-03-18"