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Work in progress, simplify extraction of all content
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@@ -12,7 +12,7 @@ authors = [ | |
| { name = "Mladen Gibanica", email = "[email protected]" }, | ||
| ] | ||
| requires-python = ">=3.9" | ||
| dependencies = ["geopandas ~= 0.14", "pyogrio ~= 0.7", "pyarrow ~= 16.0", "unidecode ~= 1.3"] | ||
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| [project.optional-dependencies] | ||
| lint = [ | ||
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| """Extract GEOJson from GPKG files.""" | ||
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| import glob | ||
| import logging | ||
| from multiprocessing import Pool, set_start_method | ||
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| import fiona | ||
| import geopandas as gpd | ||
| import pandas as pd | ||
| from lantmateriet.config import Config50 | ||
| from unidecode import unidecode | ||
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| WORKERS = 8 | ||
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| set_start_method("fork") | ||
| logger = logging.getLogger(__name__) | ||
| config = Config50() | ||
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| def read_unique_names(file: str, layer: str, field: str) -> list[str]: | ||
| """Read unique names from specified field in file.""" | ||
| return sorted( | ||
| list( | ||
| set( | ||
| gpd.read_file( | ||
| file, | ||
| use_arrow=True, | ||
| include_fields=[field], | ||
| ignore_geometry=True, | ||
| layer=layer, | ||
| )[field] | ||
| ) | ||
| ) | ||
| ) | ||
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| def read_first_entry(file: str, layer: str) -> gpd.GeoDataFrame: | ||
| """Read info from file.""" | ||
| return gpd.read_file(file, use_arrow=True, layer=layer, rows=1) | ||
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| def normalise_item_names(item_names: list[str]) -> dict[str, str]: | ||
| """Normalise item names to save format.""" | ||
| return { | ||
| x: "{:02d}_".format(i + 1) | ||
| + unidecode(x.lower()) | ||
| .replace(" ", "_") | ||
| .replace("-", "") | ||
| .replace(",", "") | ||
| .replace("/", "_") | ||
| for i, x in enumerate(item_names) | ||
| } | ||
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| def extract_geojson(file: str, layer: str): | ||
| """Extract and save geojson files.""" | ||
| print(f"Working on {file} - {layer}") | ||
| field = "objekttyp" | ||
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| if "text" in file or "text" in layer: | ||
| field = "texttyp" | ||
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| file_names = read_unique_names(file, layer, field) | ||
| normalised_names = normalise_item_names(file_names) | ||
| geometry_type = type(read_first_entry(file, layer).geometry[0]) | ||
| geometry_object = config.file_geometry_mapping[geometry_type] | ||
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| if "mark" in file: | ||
| df_sverige = None | ||
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| for name, output_name in normalised_names.items(): | ||
| geo_object = geometry_object(file, "50", layer, name, field) | ||
| if geo_object.df is not None: | ||
| geo_object.process() | ||
| geo_object.save("tmp", output_name) | ||
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| if "mark" in file: | ||
| if df_sverige is None: | ||
| df_sverige = geo_object.df.dissolve().explode(index_parts=False) | ||
| else: | ||
| df_sverige = ( | ||
| pd.concat([df_sverige, geo_object.df]) | ||
| .dissolve() | ||
| .explode(index_parts=False) | ||
| ) | ||
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| if "mark" in file: | ||
| df_sverige["area_m2"] = df_sverige.area | ||
| df_sverige["length_m"] = df_sverige.length | ||
| df_sverige = df_sverige.df.to_crs(geo_object.config.epsg_4326) | ||
| df_sverige.to_file( | ||
| "tmp/mark_sverige/mark/00_sverige" + ".geojson", driver="GeoJSON" | ||
| ) | ||
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| print(f"Saved {file} - {layer}") | ||
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| files = glob.glob("topografi_50/*.gpkg") | ||
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| all_files = [] | ||
| for file in files: | ||
| available_layers = fiona.listlayers(file) | ||
| for layer in available_layers: | ||
| all_files.append((file, layer)) | ||
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| with Pool(WORKERS) as pool: | ||
| pool.starmap(extract_geojson, all_files) |
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