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"""The central module containing all code dealing with VG250 data. |
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This module either directly contains the code dealing with importing VG250 |
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data, or it re-exports everything needed to handle it. Please refrain |
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from importing code from any modules below this one, because it might |
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lead to unwanted behaviour. |
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If you have to import code from a module below this one because the code |
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isn't exported from this module, please file a bug, so we can fix this. |
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""" |
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from pathlib import Path |
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from urllib.request import urlretrieve |
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import codecs |
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import datetime |
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import json |
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import os |
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import time |
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from geoalchemy2 import Geometry |
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import geopandas as gpd |
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from egon.data import db |
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from egon.data.config import settings |
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from egon.data.datasets import Dataset |
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from egon.data.metadata import ( |
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context, |
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licenses_datenlizenz_deutschland, |
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meta_metadata, |
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) |
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import egon.data.config |
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from egon_validation import ( |
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RowCountValidation, |
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DataTypeValidation, |
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NotNullAndNotNaNValidation, |
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WholeTableNotNullAndNotNaNValidation, |
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ValueSetValidation, |
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SRIDUniqueNonZero |
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) |
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def download_files(): |
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""" |
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Download VG250 (Verwaltungsgebiete) shape files. |
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Data is downloaded from source specified in *datasets.yml* in section |
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*vg250/original_data/source/url* and saved to file specified in |
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*vg250/original_data/target/file*. |
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""" |
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data_config = egon.data.config.datasets() |
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vg250_config = data_config["vg250"]["original_data"] |
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download_directory = Path(".") / "vg250" |
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# Create the folder, if it does not exist already |
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if not os.path.exists(download_directory): |
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os.mkdir(download_directory) |
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target_file = download_directory / vg250_config["target"]["file"] |
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if not os.path.isfile(target_file): |
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urlretrieve(vg250_config["source"]["url"], target_file) |
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def to_postgres(): |
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""" |
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Writes original VG250 data to database. |
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Creates schema boundaries if it does not yet exist. |
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Newly creates all tables specified as keys in *datasets.yml* in section |
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*vg250/processed/file_table_map*. |
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""" |
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# Get information from data configuration file |
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data_config = egon.data.config.datasets() |
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vg250_orig = data_config["vg250"]["original_data"] |
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vg250_processed = data_config["vg250"]["processed"] |
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# Create target schema |
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db.execute_sql(f"CREATE SCHEMA IF NOT EXISTS {vg250_processed['schema']};") |
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zip_file = Path(".") / "vg250" / vg250_orig["target"]["file"] |
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engine_local_db = db.engine() |
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# Extract shapefiles from zip archive and send it to postgres db |
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for filename, table in vg250_processed["file_table_map"].items(): |
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# Open files and read .shp (within .zip) with geopandas |
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data = gpd.read_file( |
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f"zip://{zip_file}!vg250_01-01.geo84.shape.ebenen/" |
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f"vg250_ebenen_0101/{filename}" |
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) |
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boundary = settings()["egon-data"]["--dataset-boundary"] |
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if boundary != "Everything": |
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# read-in borders of federal state Schleswig-Holstein |
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data_sta = gpd.read_file( |
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f"zip://{zip_file}!vg250_01-01.geo84.shape.ebenen/" |
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f"vg250_ebenen_0101/VG250_LAN.shp" |
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).query(f"GEN == '{boundary}'") |
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data_sta.BEZ = "Bundesrepublik" |
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data_sta.NUTS = "DE" |
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# import borders of Schleswig-Holstein as borders of state |
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if table == "vg250_sta": |
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data = data_sta |
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# choose only areas in Schleswig-Holstein |
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else: |
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data = data[ |
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data.within(data_sta.dissolve(by="GEN").geometry.values[0]) |
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] |
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# Set index column and format column headings |
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data.index.set_names("id", inplace=True) |
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data.columns = [x.lower() for x in data.columns] |
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# Drop table before inserting data |
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db.execute_sql( |
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f"DROP TABLE IF EXISTS " |
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f"{vg250_processed['schema']}.{table} CASCADE;" |
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) |
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# create database table from geopandas dataframe |
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data.to_postgis( |
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table, |
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engine_local_db, |
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schema=vg250_processed["schema"], |
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index=True, |
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if_exists="replace", |
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dtype={"geometry": Geometry()}, |
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) |
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db.execute_sql( |
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f"ALTER TABLE {vg250_processed['schema']}.{table} " |
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f"ADD PRIMARY KEY (id);" |
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) |
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# Add index on geometry column |
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db.execute_sql( |
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f"CREATE INDEX {table}_geometry_idx ON " |
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f"{vg250_processed['schema']}.{table} USING gist (geometry);" |
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) |
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def add_metadata(): |
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"""Writes metadata JSON string into table comment.""" |
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# Prepare variables |
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vg250_config = egon.data.config.datasets()["vg250"] |
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title_and_description = { |
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"vg250_sta": { |
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"title": "BKG - Verwaltungsgebiete 1:250.000 - Staat (STA)", |
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"description": "Staatsgrenzen der Bundesrepublik Deutschland", |
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}, |
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"vg250_lan": { |
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"title": "BKG - Verwaltungsgebiete 1:250.000 - Länder (LAN)", |
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"description": "Landesgrenzen der Bundesländer in der " |
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"Bundesrepublik Deutschland", |
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}, |
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"vg250_rbz": { |
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"title": "BKG - Verwaltungsgebiete 1:250.000 - Regierungsbezirke " |
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"(RBZ)", |
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"description": "Grenzen der Regierungsbezirke in der " |
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"Bundesrepublik Deutschland", |
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}, |
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"vg250_krs": { |
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"title": "BKG - Verwaltungsgebiete 1:250.000 - Kreise (KRS)", |
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"description": "Grenzen der Landkreise in der " |
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"Bundesrepublik Deutschland", |
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}, |
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"vg250_vwg": { |
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"title": "BKG - Verwaltungsgebiete 1:250.000 - " |
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"Verwaltungsgemeinschaften (VWG)", |
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"description": "Grenzen der Verwaltungsgemeinschaften in der " |
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"Bundesrepublik Deutschland", |
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}, |
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"vg250_gem": { |
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"title": "BKG - Verwaltungsgebiete 1:250.000 - Gemeinden (GEM)", |
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"description": "Grenzen der Gemeinden in der " |
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"Bundesrepublik Deutschland", |
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}, |
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} |
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licenses = [ |
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licenses_datenlizenz_deutschland( |
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attribution="© Bundesamt für Kartographie und Geodäsie " |
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"2020 (Daten verändert)" |
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) |
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] |
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vg250_source = { |
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"title": "Verwaltungsgebiete 1:250 000 (Ebenen)", |
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"description": "Der Datenbestand umfasst sämtliche Verwaltungseinheiten der " |
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"hierarchischen Verwaltungsebenen vom Staat bis zu den Gemeinden " |
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"mit ihren Grenzen, statistischen Schlüsselzahlen, Namen der " |
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"Verwaltungseinheit sowie die spezifische Bezeichnung der " |
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"Verwaltungsebene des jeweiligen Landes.", |
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"path": vg250_config["original_data"]["source"]["url"], |
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"licenses": licenses, |
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} |
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for table in vg250_config["processed"]["file_table_map"].values(): |
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schema_table = ".".join([vg250_config["processed"]["schema"], table]) |
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meta = { |
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"name": schema_table, |
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"title": title_and_description[table]["title"], |
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"id": "WILL_BE_SET_AT_PUBLICATION", |
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"description": title_and_description[table]["title"], |
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"language": ["de-DE"], |
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"publicationDate": datetime.date.today().isoformat(), |
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"context": context(), |
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"spatial": { |
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"location": None, |
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"extent": "Germany", |
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"resolution": "1:250000", |
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}, |
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"temporal": { |
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"referenceDate": "2020-01-01", |
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"timeseries": { |
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"start": None, |
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"end": None, |
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"resolution": None, |
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"alignment": None, |
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"aggregationType": None, |
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}, |
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}, |
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"sources": [vg250_source], |
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"licenses": licenses, |
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"contributors": [ |
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{ |
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"title": "Guido Pleßmann", |
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"email": "http://github.com/gplssm", |
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"date": time.strftime("%Y-%m-%d"), |
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"object": None, |
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"comment": "Imported data", |
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}, |
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{ |
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"title": "Jonathan Amme", |
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"email": "http://github.com/nesnoj", |
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"date": time.strftime("%Y-%m-%d"), |
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"object": None, |
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"comment": "Metadata extended", |
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}, |
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], |
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"resources": [ |
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{ |
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"profile": "tabular-data-resource", |
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"name": schema_table, |
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"path": None, |
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"format": "PostgreSQL", |
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"encoding": "UTF-8", |
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"schema": { |
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"fields": vg250_metadata_resources_fields(), |
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"primaryKey": ["id"], |
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"foreignKeys": [], |
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}, |
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"dialect": {"delimiter": None, "decimalSeparator": "."}, |
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} |
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], |
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"metaMetadata": meta_metadata(), |
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} |
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meta_json = "'" + json.dumps(meta) + "'" |
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db.submit_comment( |
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meta_json, vg250_config["processed"]["schema"], table |
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) |
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def nuts_mview(): |
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""" |
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Creates MView boundaries.vg250_lan_nuts_id. |
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""" |
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db.execute_sql_script( |
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os.path.join(os.path.dirname(__file__), "vg250_lan_nuts_id_mview.sql") |
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) |
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def cleaning_and_preperation(): |
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""" |
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Creates tables and MViews with cleaned and corrected geometry data. |
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The following table is created: |
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* boundaries.vg250_gem_clean where municipalities (Gemeinden) that are fragmented |
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are cleaned from ringholes |
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The following MViews are created: |
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* boundaries.vg250_gem_hole |
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* boundaries.vg250_gem_valid |
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* boundaries.vg250_krs_area |
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* boundaries.vg250_lan_union |
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* boundaries.vg250_sta_bbox |
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* boundaries.vg250_sta_invalid_geometry |
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* boundaries.vg250_sta_tiny_buffer |
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* boundaries.vg250_sta_union |
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""" |
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db.execute_sql_script( |
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os.path.join(os.path.dirname(__file__), "cleaning_and_preparation.sql") |
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) |
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def vg250_metadata_resources_fields(): |
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""" |
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Returns metadata string for VG250 tables. |
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""" |
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return [ |
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{ |
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"description": "Index", |
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"name": "id", |
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"type": "integer", |
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"unit": "none", |
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}, |
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317
|
|
|
{ |
|
318
|
|
|
"description": "Administrative level", |
|
319
|
|
|
"name": "ade", |
|
320
|
|
|
"type": "integer", |
|
321
|
|
|
"unit": "none", |
|
322
|
|
|
}, |
|
323
|
|
|
{ |
|
324
|
|
|
"description": "Geofactor", |
|
325
|
|
|
"name": "gf", |
|
326
|
|
|
"type": "integer", |
|
327
|
|
|
"unit": "none", |
|
328
|
|
|
}, |
|
329
|
|
|
{ |
|
330
|
|
|
"description": "Particular areas", |
|
331
|
|
|
"name": "bsg", |
|
332
|
|
|
"type": "integer", |
|
333
|
|
|
"unit": "none", |
|
334
|
|
|
}, |
|
335
|
|
|
{ |
|
336
|
|
|
"description": "Territorial code", |
|
337
|
|
|
"name": "ars", |
|
338
|
|
|
"type": "string", |
|
339
|
|
|
"unit": "none", |
|
340
|
|
|
}, |
|
341
|
|
|
{ |
|
342
|
|
|
"description": "Official Municipality Key", |
|
343
|
|
|
"name": "ags", |
|
344
|
|
|
"type": "string", |
|
345
|
|
|
"unit": "none", |
|
346
|
|
|
}, |
|
347
|
|
|
{ |
|
348
|
|
|
"description": "Seat of the administration (territorial code)", |
|
349
|
|
|
"name": "sdv_ars", |
|
350
|
|
|
"type": "string", |
|
351
|
|
|
"unit": "none", |
|
352
|
|
|
}, |
|
353
|
|
|
{ |
|
354
|
|
|
"description": "Geographical name", |
|
355
|
|
|
"name": "gen", |
|
356
|
|
|
"type": "string", |
|
357
|
|
|
"unit": "none", |
|
358
|
|
|
}, |
|
359
|
|
|
{ |
|
360
|
|
|
"description": "Designation of the administrative unit", |
|
361
|
|
|
"name": "bez", |
|
362
|
|
|
"type": "string", |
|
363
|
|
|
"unit": "none", |
|
364
|
|
|
}, |
|
365
|
|
|
{ |
|
366
|
|
|
"description": "Identifier", |
|
367
|
|
|
"name": "ibz", |
|
368
|
|
|
"type": "integer", |
|
369
|
|
|
"unit": "none", |
|
370
|
|
|
}, |
|
371
|
|
|
{ |
|
372
|
|
|
"description": "Note", |
|
373
|
|
|
"name": "bem", |
|
374
|
|
|
"type": "string", |
|
375
|
|
|
"unit": "none", |
|
376
|
|
|
}, |
|
377
|
|
|
{ |
|
378
|
|
|
"description": "Name generation", |
|
379
|
|
|
"name": "nbd", |
|
380
|
|
|
"type": "string", |
|
381
|
|
|
"unit": "none", |
|
382
|
|
|
}, |
|
383
|
|
|
{ |
|
384
|
|
|
"description": "Land (state)", |
|
385
|
|
|
"name": "sn_l", |
|
386
|
|
|
"type": "string", |
|
387
|
|
|
"unit": "none", |
|
388
|
|
|
}, |
|
389
|
|
|
{ |
|
390
|
|
|
"description": "Administrative district", |
|
391
|
|
|
"name": "sn_r", |
|
392
|
|
|
"type": "string", |
|
393
|
|
|
"unit": "none", |
|
394
|
|
|
}, |
|
395
|
|
|
{ |
|
396
|
|
|
"description": "District", |
|
397
|
|
|
"name": "sn_k", |
|
398
|
|
|
"type": "string", |
|
399
|
|
|
"unit": "none", |
|
400
|
|
|
}, |
|
401
|
|
|
{ |
|
402
|
|
|
"description": "Administrative association – front part", |
|
403
|
|
|
"name": "sn_v1", |
|
404
|
|
|
"type": "string", |
|
405
|
|
|
"unit": "none", |
|
406
|
|
|
}, |
|
407
|
|
|
{ |
|
408
|
|
|
"description": "Administrative association – rear part", |
|
409
|
|
|
"name": "sn_v2", |
|
410
|
|
|
"type": "string", |
|
411
|
|
|
"unit": "none", |
|
412
|
|
|
}, |
|
413
|
|
|
{ |
|
414
|
|
|
"description": "Municipality", |
|
415
|
|
|
"name": "sn_g", |
|
416
|
|
|
"type": "string", |
|
417
|
|
|
"unit": "none", |
|
418
|
|
|
}, |
|
419
|
|
|
{ |
|
420
|
|
|
"description": "Function of the 3rd key digit", |
|
421
|
|
|
"name": "fk_s3", |
|
422
|
|
|
"type": "string", |
|
423
|
|
|
"unit": "none", |
|
424
|
|
|
}, |
|
425
|
|
|
{ |
|
426
|
|
|
"description": "European statistics key", |
|
427
|
|
|
"name": "nuts", |
|
428
|
|
|
"type": "string", |
|
429
|
|
|
"unit": "none", |
|
430
|
|
|
}, |
|
431
|
|
|
{ |
|
432
|
|
|
"description": "Filled territorial code", |
|
433
|
|
|
"name": "ars_0", |
|
434
|
|
|
"type": "string", |
|
435
|
|
|
"unit": "none", |
|
436
|
|
|
}, |
|
437
|
|
|
{ |
|
438
|
|
|
"description": "Filled Official Municipality Key", |
|
439
|
|
|
"name": "ags_0", |
|
440
|
|
|
"type": "string", |
|
441
|
|
|
"unit": "none", |
|
442
|
|
|
}, |
|
443
|
|
|
{ |
|
444
|
|
|
"description": "Effectiveness", |
|
445
|
|
|
"name": "wsk", |
|
446
|
|
|
"type": "string", |
|
447
|
|
|
"unit": "none", |
|
448
|
|
|
}, |
|
449
|
|
|
{ |
|
450
|
|
|
"description": "DLM identifier", |
|
451
|
|
|
"name": "debkg_id", |
|
452
|
|
|
"type": "string", |
|
453
|
|
|
"unit": "none", |
|
454
|
|
|
}, |
|
455
|
|
|
{ |
|
456
|
|
|
"description": "Territorial code (deprecated column)", |
|
457
|
|
|
"name": "rs", |
|
458
|
|
|
"type": "string", |
|
459
|
|
|
"unit": "none", |
|
460
|
|
|
}, |
|
461
|
|
|
{ |
|
462
|
|
|
"description": "Seat of the administration (territorial code, deprecated column)", |
|
463
|
|
|
"name": "sdv_rs", |
|
464
|
|
|
"type": "string", |
|
465
|
|
|
"unit": "none", |
|
466
|
|
|
}, |
|
467
|
|
|
{ |
|
468
|
|
|
"description": "Filled territorial code (deprecated column)", |
|
469
|
|
|
"name": "rs_0", |
|
470
|
|
|
"type": "string", |
|
471
|
|
|
"unit": "none", |
|
472
|
|
|
}, |
|
473
|
|
|
{ |
|
474
|
|
|
"description": "Geometry of areas as WKB", |
|
475
|
|
|
"name": "geometry", |
|
476
|
|
|
"type": "Geometry(Polygon, srid=4326)", |
|
477
|
|
|
"unit": "none", |
|
478
|
|
|
}, |
|
479
|
|
|
] |
|
480
|
|
|
|
|
481
|
|
|
|
|
482
|
|
|
class Vg250(Dataset): |
|
483
|
|
|
""" |
|
484
|
|
|
Obtains and processes VG250 data and writes it to database. |
|
485
|
|
|
|
|
486
|
|
|
Original data is downloaded using :py:func:`download_files` function and written |
|
487
|
|
|
to database using :py:func:`to_postgres` function. |
|
488
|
|
|
|
|
489
|
|
|
*Dependencies* |
|
490
|
|
|
No dependencies |
|
491
|
|
|
|
|
492
|
|
|
*Resulting tables* |
|
493
|
|
|
* :py:func:`boundaries.vg250_gem <to_postgres>` is created and filled |
|
494
|
|
|
* :py:func:`boundaries.vg250_krs <to_postgres>` is created and filled |
|
495
|
|
|
* :py:func:`boundaries.vg250_lan <to_postgres>` is created and filled |
|
496
|
|
|
* :py:func:`boundaries.vg250_rbz <to_postgres>` is created and filled |
|
497
|
|
|
* :py:func:`boundaries.vg250_sta <to_postgres>` is created and filled |
|
498
|
|
|
* :py:func:`boundaries.vg250_vwg <to_postgres>` is created and filled |
|
499
|
|
|
* :py:func:`boundaries.vg250_lan_nuts_id <nuts_mview>` is created and filled |
|
500
|
|
|
* :py:func:`boundaries.vg250_gem_hole <cleaning_and_preperation>` is created and |
|
501
|
|
|
filled |
|
502
|
|
|
* :py:func:`boundaries.vg250_gem_valid <cleaning_and_preperation>` is created and |
|
503
|
|
|
filled |
|
504
|
|
|
* :py:func:`boundaries.vg250_krs_area <cleaning_and_preperation>` is created and |
|
505
|
|
|
filled |
|
506
|
|
|
* :py:func:`boundaries.vg250_lan_union <cleaning_and_preperation>` is created and |
|
507
|
|
|
filled |
|
508
|
|
|
* :py:func:`boundaries.vg250_sta_bbox <cleaning_and_preperation>` is created and |
|
509
|
|
|
filled |
|
510
|
|
|
* :py:func:`boundaries.vg250_sta_invalid_geometry <cleaning_and_preperation>` is |
|
511
|
|
|
created and filled |
|
512
|
|
|
* :py:func:`boundaries.vg250_sta_tiny_buffer <cleaning_and_preperation>` is |
|
513
|
|
|
created and filled |
|
514
|
|
|
* :py:func:`boundaries.vg250_sta_union <cleaning_and_preperation>` is |
|
515
|
|
|
created and filled |
|
516
|
|
|
|
|
517
|
|
|
""" |
|
518
|
|
|
|
|
519
|
|
|
filename = egon.data.config.datasets()["vg250"]["original_data"]["source"][ |
|
520
|
|
|
"url" |
|
521
|
|
|
] |
|
522
|
|
|
|
|
523
|
|
|
#: |
|
524
|
|
|
name: str = "VG250" |
|
525
|
|
|
#: |
|
526
|
|
|
version: str = filename + "-0.0.4" |
|
527
|
|
|
|
|
528
|
|
|
def __init__(self, dependencies): |
|
529
|
|
|
super().__init__( |
|
530
|
|
|
name=self.name, |
|
531
|
|
|
version=self.version, |
|
532
|
|
|
dependencies=dependencies, |
|
533
|
|
|
tasks=( |
|
534
|
|
|
download_files, |
|
535
|
|
|
to_postgres, |
|
536
|
|
|
nuts_mview, |
|
537
|
|
|
add_metadata, |
|
538
|
|
|
cleaning_and_preperation, |
|
539
|
|
|
), |
|
540
|
|
|
validation={ |
|
541
|
|
|
"data_quality": [ |
|
542
|
|
|
RowCountValidation( |
|
543
|
|
|
table="boundaries.vg250_krs", |
|
544
|
|
|
rule_id="TEST_ROW_COUNT.vg250_krs", |
|
545
|
|
|
expected_count={"Schleswig-Holstein":27, "Everything":431} |
|
546
|
|
|
), |
|
547
|
|
|
DataTypeValidation( |
|
548
|
|
|
table="boundaries.vg250_krs", |
|
549
|
|
|
rule_id="TEST_DATA_MULTIPLE_TYPES.vg250_krs", |
|
550
|
|
|
column_types={"Schleswig-Holstein":{"id":"bigint","ade":"integer", "gf":"integer", "bsg":"integer","ars":"text", |
|
551
|
|
|
"ags":"text", "sdv_ars":"text", "gen":"text", "bez":"text","ibz":"integer", |
|
552
|
|
|
"bem":"text", "nbd":"text", "sn_l":"text", "sn_r":"text", "sn_k":"text", |
|
553
|
|
|
"sn_v1":"text", "sn_v2":"text", "sn_g":"text", "fk_s3":"text", "nuts":"text", |
|
554
|
|
|
"ars_0":"text", "ags_0":"text", "wsk":"timestamp without time zone", "debkg_id":"text", "rs":"text", |
|
555
|
|
|
"sdv_rs":"text", "rs_0":"text", "geometry":"geometry"}, |
|
556
|
|
|
"Everything":{"id":"bigint","ade":"bigint", "gf":"bigint", "bsg":"bigint","ars":"text", |
|
557
|
|
|
"ags":"text", "sdv_ars":"text", "gen":"text", "bez":"text","ibz":"bigint", |
|
558
|
|
|
"bem":"text", "nbd":"text", "sn_l":"text", "sn_r":"text", "sn_k":"text", |
|
559
|
|
|
"sn_v1":"text", "sn_v2":"text", "sn_g":"text", "fk_s3":"text", "nuts":"text", |
|
560
|
|
|
"ars_0":"text", "ags_0":"text", "wsk":"text", "debkg_id":"text", "rs":"text", |
|
561
|
|
|
"sdv_rs":"text", "rs_0":"text", "geometry":"geometry"} |
|
562
|
|
|
} |
|
563
|
|
|
), |
|
564
|
|
|
NotNullAndNotNaNValidation( |
|
565
|
|
|
table="boundaries.vg250_krs", |
|
566
|
|
|
rule_id="TEST_NOT_NAN.vg250_krs", |
|
567
|
|
|
columns=["gf","bsg"] |
|
568
|
|
|
), |
|
569
|
|
|
WholeTableNotNullAndNotNaNValidation( |
|
570
|
|
|
table="boundaries.vg250_krs", |
|
571
|
|
|
rule_id="TEST_WHOLE_TABLE_NOT_NAN.vg250_krs" |
|
572
|
|
|
), |
|
573
|
|
|
SRIDUniqueNonZero( |
|
574
|
|
|
table="boundaries.vg250_krs", |
|
575
|
|
|
rule_id="SRIDUniqueNonZero.vg250_krs.geometry", |
|
576
|
|
|
column="geometry" |
|
577
|
|
|
), |
|
578
|
|
|
ValueSetValidation( |
|
579
|
|
|
table="boundaries.vg250_krs", |
|
580
|
|
|
rule_id="TEST_VALUE_SET_NBD.vg250_krs", |
|
581
|
|
|
column="nbd", |
|
582
|
|
|
expected_values=["ja", "nein"] |
|
583
|
|
|
), |
|
584
|
|
|
RowCountValidation( |
|
585
|
|
|
table="society.destatis_zensus_population_per_ha_inside_germany", |
|
586
|
|
|
rule_id="TEST_ROW_COUNT.destatis_zensus_population_per_ha_inside_germany", |
|
587
|
|
|
expected_count={"Schleswig-Holstein": 143521, "Everything": 3177723} |
|
588
|
|
|
), |
|
589
|
|
|
DataTypeValidation( |
|
590
|
|
|
table="society.destatis_zensus_population_per_ha_inside_germany", |
|
591
|
|
|
rule_id="TEST_DATA_MULTIPLE_TYPES.destatis_zensus_population_per_ha_inside_germany", |
|
592
|
|
|
column_types={ |
|
593
|
|
|
"id": "integer", "grid_id": "character varying (254)", "population": "smallint", |
|
594
|
|
|
"geom_point": "geometry","geom": "geometry" |
|
595
|
|
|
} |
|
596
|
|
|
), |
|
597
|
|
|
NotNullAndNotNaNValidation( |
|
598
|
|
|
table="society.destatis_zensus_population_per_ha_inside_germany", |
|
599
|
|
|
rule_id="TEST_NOT_NAN.destatis_zensus_population_per_ha_inside_germany", |
|
600
|
|
|
columns=["id", "grid_id", "population", "geom_point", "geom"] |
|
601
|
|
|
), |
|
602
|
|
|
WholeTableNotNullAndNotNaNValidation( |
|
603
|
|
|
table="society.destatis_zensus_population_per_ha_inside_germany", |
|
604
|
|
|
rule_id="TEST_WHOLE_TABLE_NOT_NAN.destatis_zensus_population_per_ha_inside_germany" |
|
605
|
|
|
), |
|
606
|
|
|
SRIDUniqueNonZero( |
|
607
|
|
|
table="society.destatis_zensus_population_per_ha_inside_germany", |
|
608
|
|
|
rule_id="SRIDUniqueNonZero.destatis_zensus_population_per_ha_inside_germany.geom_point", |
|
609
|
|
|
column="geom_point" |
|
610
|
|
|
), |
|
611
|
|
|
SRIDUniqueNonZero( |
|
612
|
|
|
table="society.destatis_zensus_population_per_ha_inside_germany", |
|
613
|
|
|
rule_id="SRIDUniqueNonZero.destatis_zensus_population_per_ha_inside_germany.geom", |
|
614
|
|
|
column="geom" |
|
615
|
|
|
), |
|
616
|
|
|
] |
|
617
|
|
|
}, |
|
618
|
|
|
on_validation_failure="continue" |
|
619
|
|
|
) |
|
620
|
|
|
|
openego /
eGon-data
