def read_osm_pbf(subregion_name,
data_dir=None,
parsed=True,
file_size_limit=50,
fmt_other_tags=True,
fmt_single_geom=True,
fmt_multi_geom=True,
update=False,
download_confirmation_required=True,
pickle_it=False,
rm_osm_pbf=False,
verbose=False):
"""
:param subregion_name: [str] e.g. 'rutland'
:param data_dir: [str; None (default)] customised path of a .osm.pbf file
:param parsed: [bool] (default: True)
:param file_size_limit: [numbers.Number] (default: 50) limit of file size (in MB), e.g. 50, or 100
:param fmt_other_tags: [bool] (default: True)
:param fmt_single_geom: [bool] (default: True)
:param fmt_multi_geom: [bool] (default: True)
:param update: [bool] (default: False)
:param download_confirmation_required: [bool] (default: True)
:param pickle_it: [bool] (default: False)
:param rm_osm_pbf: [bool] (default: False)
:param verbose: [bool] (default: False)
:return: [dict; None]
If 'subregion' is the name of the subregion, the default file path will be used.
Example:
subregion_name = 'Rutland'
data_dir = None
parsed = True
file_size_limit = 50
fmt_other_tags = True
fmt_single_geom = True
fmt_multi_geom = True
update = False
download_confirmation_required = True
pickle_it = False
rm_osm_pbf = True
verbose = False
read_osm_pbf(subregion_name, data_dir, parsed, file_size_limit, fmt_other_tags, fmt_single_geom, fmt_multi_geom,
update, download_confirmation_required, pickle_it, rm_osm_pbf, verbose)
"""
assert isinstance(file_size_limit, int) or file_size_limit is None
osm_pbf_filename, path_to_osm_pbf = get_default_path_to_osm_file(
subregion_name, ".osm.pbf", mkdir=False)
if osm_pbf_filename and path_to_osm_pbf:
if not data_dir: # Go to default file path
path_to_osm_pbf = path_to_osm_pbf
else:
osm_pbf_dir = regulate_input_data_dir(data_dir)
path_to_osm_pbf = os.path.join(osm_pbf_dir, osm_pbf_filename)
subregion_filename = os.path.basename(path_to_osm_pbf)
path_to_pickle = path_to_osm_pbf.replace(
".osm.pbf", ".pickle" if parsed else "-raw.pickle")
if os.path.isfile(path_to_pickle) and not update:
osm_pbf_data = load_pickle(path_to_pickle, verbose=verbose)
else:
# If the target file is not available, try downloading it first.
if not os.path.isfile(path_to_osm_pbf) or update:
try:
download_subregion_osm_file(subregion_name,
osm_file_format=".osm.pbf",
download_dir=data_dir,
download_confirmation_required=
download_confirmation_required,
update=update,
verbose=False)
except Exception as e:
print("Cancelled reading data. CAUSE: {}".format(e))
osm_pbf_data = None
else:
file_size_in_mb = round(
os.path.getsize(path_to_osm_pbf) / (1024**2), 1)
if file_size_limit and file_size_in_mb > file_size_limit:
# Parsing the '.osm.pbf' file in a chunk-wise way
chunks_no = math.ceil(file_size_in_mb / file_size_limit)
else:
chunks_no = None
print("\nParsing \"{}\" ... ".format(subregion_filename),
end="") if verbose else ""
try:
osm_pbf_data = parse_osm_pbf(path_to_osm_pbf, chunks_no,
parsed, fmt_other_tags,
fmt_single_geom,
fmt_multi_geom)
print("Successfully.\n") if verbose else ""
if pickle_it:
save_pickle(osm_pbf_data,
path_to_pickle,
verbose=verbose)
except Exception as e:
print("Failed. CAUSE: \"{}\"\n".format(e))
osm_pbf_data = None
if rm_osm_pbf:
remove_subregion_osm_file(path_to_osm_pbf, verbose=verbose)
return osm_pbf_data
else:
print(
"Errors occur. Maybe check with the input \"subregion_name\" first."
)
def read_shp_zip(subregion_name,
layer,
feature=None,
data_dir=None,
update=False,
download_confirmation_required=True,
pickle_it=False,
rm_extracts=False,
rm_shp_zip=False,
verbose=False):
"""
:param subregion_name: [str] e.g. 'england', 'oxfordshire', or 'europe'; case-insensitive
:param layer: [str] e.g. 'railways'
:param feature: [str; None (default)] e.g. 'rail'; if None, all available features included
:param data_dir: [str; None (default)]
:param update: [bool] (default: False) whether to update the relevant file/information
:param download_confirmation_required: [bool] (default: False)
:param pickle_it: [bool] (default: False)
:param rm_extracts: [bool] (default: False) whether to delete extracted files from the .shp.zip file
:param rm_shp_zip: [bool] (default: False) whether to delete the downloaded .shp.zip file
:param verbose: [bool] (default: False)
:return: [gpd.GeoDataFrame]
Example:
subregion_name = 'Rutland'
layer = 'railways'
feature = None
data_dir = cd("test_read_GeoFabrik")
update = False
download_confirmation_required = True
pickle_it = False
rm_extracts = True
rm_shp_zip = False
verbose = True
read_shp_zip(subregion_name, layer, feature, data_dir, update, download_confirmation_required, pickle_it,
rm_extracts, rm_shp_zip, verbose)
"""
shp_zip_filename, path_to_shp_zip = get_default_path_to_osm_file(
subregion_name, ".shp.zip", mkdir=False)
if shp_zip_filename and path_to_shp_zip:
extract_dir = os.path.splitext(path_to_shp_zip)[0]
if data_dir:
shp_zip_dir = regulate_input_data_dir(data_dir)
path_to_shp_zip = os.path.join(shp_zip_dir, shp_zip_filename)
extract_dir = os.path.join(shp_zip_dir,
os.path.basename(extract_dir))
# Make a local path for saving a pickle file for .shp data
sub_name = "-".join(x
for x in [
shp_zip_filename.replace(
"-latest-free.shp.zip", ""), layer, feature
] if x)
path_to_shp_pickle = os.path.join(extract_dir,
sub_name + ".shp.pickle")
if os.path.isfile(path_to_shp_pickle) and not update:
shp_data = load_pickle(path_to_shp_pickle, verbose=verbose)
else:
# Download the requested OSM file urlretrieve(download_url, file_path)
if not os.path.exists(extract_dir):
download_subregion_osm_file(shp_zip_filename,
osm_file_format=".shp.zip",
download_dir=data_dir,
update=update,
verbose=verbose,
download_confirmation_required=
download_confirmation_required)
if os.path.isfile(path_to_shp_zip):
extract_shp_zip(path_to_shp_zip,
extract_dir,
layer=layer,
verbose=verbose)
path_to_shp = glob.glob(
os.path.join(extract_dir, "*{}*.shp".format(layer)))
if len(path_to_shp) == 0:
shp_data = None
elif len(path_to_shp) == 1:
shp_data = gpd.read_file(
path_to_shp[0]
) # gpd.GeoDataFrame(read_shp_file(path_to_shp))
if feature:
path_to_shp_feat = path_to_shp[0].replace(
layer, layer + "_" + feature)
shp_data = gpd.GeoDataFrame(
shp_data[shp_data.fclass == feature])
shp_data.crs = {
'no_defs': True,
'ellps': 'WGS84',
'datum': 'WGS84',
'proj': 'longlat'
}
shp_data.to_file(path_to_shp_feat, driver='ESRI Shapefile')
else: # len(path_to_shp) > 1:
if not feature:
path_to_orig_shp = [
p for p in path_to_shp
if layer + '_a' in p or layer + '_free' in p
]
if len(path_to_orig_shp
) == 1: # "_a*.shp" is not available
shp_data = gpd.read_file(path_to_orig_shp[0])
else:
shp_data = [gpd.read_file(p) for p in path_to_shp]
shp_data = pd.concat(shp_data,
axis=0,
ignore_index=True)
else: # feature is None
path_to_shp_feat = [
p for p in path_to_shp
if layer + "_" + feature not in p
]
if len(path_to_shp_feat) == 1: # "_a*.shp" does not exist
shp_data = gpd.read_file(path_to_shp_feat[0])
shp_data = shp_data[shp_data.fclass == feature]
else: # both "_a*" and "_free*" .shp for feature is available
shp_data = [
dat[dat.fclass == feature]
for dat in (gpd.read_file(p)
for p in path_to_shp_feat)
]
shp_data = pd.concat(shp_data,
axis=0,
ignore_index=True)
shp_data.crs = {
'no_defs': True,
'ellps': 'WGS84',
'datum': 'WGS84',
'proj': 'longlat'
}
shp_data.to_file(path_to_shp_feat[0].replace(
layer, layer + "_" + feature),
driver='ESRI Shapefile')
if pickle_it:
save_pickle(shp_data, path_to_shp_pickle, verbose=verbose)
if os.path.exists(extract_dir) and rm_extracts:
# import shutil; shutil.rmtree(extract_dir)
for f in glob.glob(os.path.join(extract_dir, "gis_osm*")):
# if layer not in f:
os.remove(f)
if os.path.isfile(path_to_shp_zip) and rm_shp_zip:
remove_subregion_osm_file(path_to_shp_zip, verbose=verbose)
return shp_data
def merge_multi_shp(subregion_names,
layer,
update_shp_zip=False,
download_confirmation_required=True,
data_dir=None,
prefix="gis_osm",
rm_zip_extracts=False,
rm_shp_parts=False,
merged_shp_dir=None,
verbose=False):
"""
:param subregion_names: [list] a list of subregion names, e.g. ['rutland', 'essex']
:param layer: [str] name of a OSM layer, e.g. 'railways'
:param update_shp_zip: [bool] (default: False) indicates whether to update the relevant file/information
:param download_confirmation_required: [bool] (default: True)
:param data_dir: [str; None]
:param prefix: [str] (default: "gis_osm")
:param rm_zip_extracts: [bool] (default: False)
:param rm_shp_parts: [bool] (default: False)
:param merged_shp_dir: [str; None (default)] if None, use the layer name as the name of the folder where the merged
shp files will be saved
:param verbose: [bool] (default: False)
Layers include 'buildings', 'landuse', 'natural', 'places', 'points', 'railways', 'roads' and 'waterways'
Note that this function does not create projection (.prj) for the merged map.
Reference: http://geospatialpython.com/2011/02/create-prj-projection-file-for.html for creating a .prj file.
Example:
subregion_names = ['Rutland', 'Herefordshire']
layer = 'railways'
update_shp_zip = False
download_confirmation_required = True
data_dir = cd("test_read_GeoFabrik")
prefix = "gis_osm"
rm_zip_extracts = False
rm_shp_parts = False
merged_shp_dir = None
verbose = True
merge_multi_shp(subregion_names, layer, update_shp_zip, download_confirmation_required, output_dir)
"""
# Make sure all the required shape files are ready
subregion_names_, file_format = [
regulate_input_subregion_name(x) for x in subregion_names
], ".shp.zip"
download_subregion_osm_file(
*subregion_names_,
osm_file_format=file_format,
download_dir=data_dir,
update=update_shp_zip,
download_confirmation_required=download_confirmation_required,
verbose=verbose)
# Extract all files from .zip
if not data_dir: # output_dir is None or output_dir == ""
file_paths = (get_default_path_to_osm_file(x, file_format,
mkdir=False)[1]
for x in subregion_names_)
else:
default_filenames = (get_default_path_to_osm_file(x,
file_format,
mkdir=False)[0]
for x in subregion_names_)
file_paths = [
cd(regulate_input_data_dir(data_dir), f) for f in default_filenames
]
extract_info = [(p, os.path.splitext(p)[0]) for p in file_paths]
extract_dirs = []
for file_path, extract_dir in extract_info:
extract_shp_zip(file_path, extract_dir, layer=layer, verbose=verbose)
extract_dirs.append(extract_dir)
# Specify a directory that stores files for the specific layer
if not data_dir:
path_to_merged = cd(os.path.commonpath(extract_info[0]),
"merged_" + layer)
else:
path_to_merged = cd(regulate_input_data_dir(data_dir),
"merged_" + layer)
if not os.path.exists(path_to_merged):
os.mkdir(path_to_merged)
# Copy .shp files (e.g. gis_osm_***_free_1.shp) into the output directory
for subregion, p in zip(subregion_names, extract_dirs):
for original_filename in glob.glob1(p, "*{}*".format(layer)):
dest = os.path.join(
path_to_merged,
"{}_{}".format(subregion.lower().replace(' ', '-'),
original_filename))
if rm_zip_extracts:
shutil.move(os.path.join(p, original_filename), dest)
shutil.rmtree(p)
else:
shutil.copyfile(os.path.join(p, original_filename), dest)
# Resource: https://github.com/GeospatialPython/pyshp
shp_file_paths = [
x for x in glob.glob(os.path.join(path_to_merged, "*.shp"))
if not os.path.basename(x).startswith("merged_")
]
path_to_merged_shp_file = cd(path_to_merged,
"merged_" + prefix + "_" + layer)
w = shapefile.Writer(path_to_merged_shp_file)
if verbose:
print("\nMerging the following shape files:\n {}".format(
"\n ".join(os.path.basename(f) for f in shp_file_paths)))
print("In progress ... ", end="")
try:
for f in shp_file_paths:
r = shapefile.Reader(f)
w.fields = r.fields[1:] # skip first deletion field
w.shapeType = r.shapeType
for shaperec in r.iterShapeRecords():
w.record(*shaperec.record)
w.shape(shaperec.shape)
r.close()
w.close()
merged_shp_data = gpd.read_file(path_to_merged_shp_file + ".shp")
merged_shp_data.crs = {
'no_defs': True,
'ellps': 'WGS84',
'datum': 'WGS84',
'proj': 'longlat'
}
merged_shp_data.to_file(filename=path_to_merged_shp_file,
driver="ESRI Shapefile")
print("Successfully.") if verbose else ""
except Exception as e:
print("Failed. {}".format(e)) if verbose else ""
print("The output .shp file is saved in \"{}\".".format(
path_to_merged)) if verbose else ""
if rm_shp_parts:
if merged_shp_dir:
new_shp_dir = cd(regulate_input_data_dir(merged_shp_dir),
mkdir=True)
else:
new_shp_dir = cd(data_dir, layer, mkdir=True)
for x in glob.glob(cd(path_to_merged, "merged_*")):
shutil.move(
x,
cd(new_shp_dir,
os.path.basename(x).replace("merged_", "", 1)))
shutil.rmtree(path_to_merged)
def merge_multi_shp(subregion_names,
layer,
update_shp_zip=False,
download_confirmation_required=True,
output_dir=None):
"""
:param subregion_names: [list] a list of subregion names, e.g. ['london', 'essex']
:param layer: [str] name of a OSM layer, e.g. 'railways'
:param update_shp_zip: [bool] (default: False) indicates whether to update the relevant file/information
:param download_confirmation_required: [bool] (default: True)
:param output_dir: [str; None]
Layers include 'buildings', 'landuse', 'natural', 'places', 'points', 'railways', 'roads' and 'waterways'
Note that this function does not create projection (.prj) for the merged map.
Reference: http://geospatialpython.com/2011/02/create-prj-projection-file-for.html for creating a .prj file.
Testing e.g.
subregion_names = ['london', 'essex']
layer = 'railways'
update_shp_zip = False
download_confirmation_required = True
output_dir = None
"""
# Make sure all the required shape files are ready
subregion_names_, file_format = [
regulate_input_subregion_name(x) for x in subregion_names
], ".shp.zip"
download_subregion_osm_file(
*subregion_names_,
osm_file_format=file_format,
download_dir=output_dir,
update=update_shp_zip,
download_confirmation_required=download_confirmation_required)
# Extract all files from .zip
file_paths = (get_default_path_to_osm_file(x, file_format, mkdir=False)[1]
for x in subregion_names_)
extract_info = [(p, os.path.splitext(p)[0]) for p in file_paths]
extract_dirs = []
for file_path, extract_dir in extract_info:
extract_shp_zip(file_path, extract_dir)
extract_dirs.append(extract_dir)
# Specify a directory that stores files for the specific layer
if output_dir:
assert os.path.isabs(output_dir)
path_to_merged = output_dir
else:
path_to_merged = os.path.join(os.path.commonpath(extract_info[0]),
"merged_" + layer)
if not os.path.exists(path_to_merged):
os.mkdir(path_to_merged)
# Copy .shp files (e.g. gis_osm_***_free_1.shp) into the output directory
for subregion, p in zip(subregion_names, extract_dirs):
for original_filename in glob.glob1(p, "*{}*".format(layer)):
dest = os.path.join(
path_to_merged,
"{}_{}".format(subregion.lower().replace(' ', '-'),
original_filename))
shutil.copyfile(os.path.join(p, original_filename), dest)
# Resource: https://github.com/GeospatialPython/pyshp
shp_file_paths = glob.glob(os.path.join(path_to_merged, '*.shp'))
w = shapefile.Writer(os.path.join(path_to_merged, "merged_" + layer))
print("\nMerging the following shape files:\n {}".format("\n ".join(
os.path.basename(f) for f in shp_file_paths)))
print("In progress ... ", end="")
try:
for f in shp_file_paths:
r = shapefile.Reader(f)
w.fields = r.fields[1:] # skip first deletion field
w.shapeType = r.shapeType
for shaperec in r.iterShapeRecords():
w.record(*shaperec.record)
w.shape(shaperec.shape)
r.close()
w.close()
print("Successfully.")
except Exception as e:
print("Failed. {}".format(e))
print("\nCheck out \"{}\".\n".format(path_to_merged))
def psql_osm_pbf_data_extracts(*subregion_name, database_name='OSM_Geofabrik', data_dir=None,
update_osm_pbf=False, if_table_exists='replace', file_size_limit=50, parsed=True,
fmt_other_tags=True, fmt_single_geom=True, fmt_multi_geom=True, rm_raw_file=False,
verbose=False):
"""
Import data of selected or all (sub)regions, which do not have (sub-)subregions, into PostgreSQL server
:param subregion_name: [str]
:param database_name: [str] (default: 'OSM_Geofabrik')
:param data_dir: [str; None (default)]
:param update_osm_pbf: [bool] (default: False)
:param if_table_exists: [str] 'replace' (default); 'append'; or 'fail'
:param file_size_limit: [int] (default: 100)
:param parsed: [bool] (default: True)
:param fmt_other_tags: [bool] (default: True)
:param fmt_single_geom: [bool] (default: True)
:param fmt_multi_geom: [bool] (default: True)
:param rm_raw_file: [bool] (default: False)
:param verbose: [bool] (default: False)
"""
if not subregion_name:
subregion_names = fetch_region_subregion_tier("GeoFabrik-non-subregion-list")
confirm_msg = "To dump GeoFabrik OSM data extracts of all subregions to PostgreSQL? "
else:
subregion_names = retrieve_names_of_subregions_of(*subregion_name)
confirm_msg = "To dump GeoFabrik OSM data extracts of the following subregions to PostgreSQL? \n{}?\n".format(
", ".join(subregion_names))
if confirmed(confirm_msg):
# Connect to PostgreSQL server
osmdb = OSM()
osmdb.connect_db(database_name=database_name)
err_subregion_names = []
for subregion_name_ in subregion_names:
default_pbf_filename, default_path_to_pbf = get_default_path_to_osm_file(subregion_name_, ".osm.pbf")
if not data_dir: # Go to default file path
path_to_osm_pbf = default_path_to_pbf
else:
osm_pbf_dir = regulate_input_data_dir(data_dir)
path_to_osm_pbf = os.path.join(osm_pbf_dir, default_pbf_filename)
download_subregion_osm_file(subregion_name_, osm_file_format=".osm.pbf", download_dir=data_dir,
update=update_osm_pbf, download_confirmation_required=False, verbose=verbose)
file_size_in_mb = round(os.path.getsize(path_to_osm_pbf) / (1024 ** 2), 1)
try:
if file_size_in_mb <= file_size_limit:
subregion_osm_pbf = read_osm_pbf(subregion_name_, data_dir, parsed, file_size_limit,
fmt_other_tags, fmt_single_geom, fmt_multi_geom,
update=False, download_confirmation_required=False,
pickle_it=False, rm_osm_pbf=rm_raw_file)
if subregion_osm_pbf is not None:
osmdb.dump_osm_pbf_data(subregion_osm_pbf, table_name=subregion_name_,
if_exists=if_table_exists)
del subregion_osm_pbf
gc.collect()
else:
print("\nParsing and importing \"{}\" feature-wisely to PostgreSQL ... ".format(subregion_name_))
# Reference: https://gdal.org/python/osgeo.ogr.Feature-class.html
raw_osm_pbf = ogr.Open(path_to_osm_pbf)
layer_count = raw_osm_pbf.GetLayerCount()
for i in range(layer_count):
lyr = raw_osm_pbf.GetLayerByIndex(i) # Hold the i-th layer
lyr_name = lyr.GetName()
print(" {} ... ".format(lyr_name), end="")
try:
lyr_feats = [feat for _, feat in enumerate(lyr)]
feats_no, chunks_no = len(lyr_feats), math.ceil(file_size_in_mb / file_size_limit)
chunked_lyr_feats = split_list(lyr_feats, chunks_no)
del lyr_feats
gc.collect()
if osmdb.subregion_table_exists(lyr_name, subregion_name_) and if_table_exists == 'replace':
osmdb.drop_subregion_data_by_layer(subregion_name_, lyr_name)
# Loop through all available features
for lyr_chunk in chunked_lyr_feats:
lyr_chunk_dat = pd.DataFrame(rapidjson.loads(f.ExportToJson()) for f in lyr_chunk)
lyr_chunk_dat = parse_layer_data(lyr_chunk_dat, lyr_name,
fmt_other_tags, fmt_single_geom, fmt_multi_geom)
if_exists_ = if_table_exists if if_table_exists == 'fail' else 'append'
osmdb.dump_osm_pbf_data_by_layer(lyr_chunk_dat, if_exists=if_exists_,
schema_name=lyr_name, table_name=subregion_name_)
del lyr_chunk_dat
gc.collect()
print("Done. Total amount of features: {}".format(feats_no))
except Exception as e:
print("Failed. {}".format(e))
raw_osm_pbf.Release()
del raw_osm_pbf
gc.collect()
if rm_raw_file:
remove_subregion_osm_file(path_to_osm_pbf, verbose=verbose)
except Exception as e:
print(e)
err_subregion_names.append(subregion_name_)
if subregion_name_ != subregion_names[-1]:
time.sleep(60)
if len(err_subregion_names) == 0:
print("\nMission accomplished.\n")
else:
print("\nErrors occurred when parsing data of the following subregion(s):")
print(*err_subregion_names, sep=", ")
osmdb.disconnect()
del osmdb
def read_osm_pbf(subregion_name,
data_dir=None,
parsed=True,
file_size_limit=50,
fmt_other_tags=True,
fmt_single_geom=True,
fmt_multi_geom=True,
update=False,
download_confirmation_required=True,
pickle_it=False,
rm_osm_pbf=True):
"""
:param subregion_name: [str] e.g. 'london'
:param data_dir: [str or None] customised path of a .osm.pbf file
:param parsed: [bool]
:param file_size_limit: [numbers.Number] limit of file size (in MB), e.g. 50, or 100(default)
:param fmt_other_tags: [bool]
:param fmt_single_geom: [bool]
:param fmt_multi_geom: [bool]
:param update: [bool]
:param download_confirmation_required: [bool]
:param pickle_it: [bool]
:param rm_osm_pbf: [bool]
:return: [dict] or None
If 'subregion' is the name of the subregion, the default file path will be used.
"""
assert isinstance(file_size_limit, int) or file_size_limit is None
osm_pbf_filename, path_to_osm_pbf = get_default_path_to_osm_file(
subregion_name, ".osm.pbf", mkdir=False)
if not data_dir: # Go to default file path
path_to_osm_pbf = path_to_osm_pbf
else:
osm_pbf_dir = regulate_input_data_dir(data_dir)
path_to_osm_pbf = os.path.join(osm_pbf_dir, osm_pbf_filename)
subregion_filename = os.path.basename(path_to_osm_pbf)
path_to_pickle = path_to_osm_pbf.replace(
".osm.pbf", ".pickle" if parsed else "-raw.pickle")
if os.path.isfile(path_to_pickle) and not update:
osm_pbf_data = load_pickle(path_to_pickle)
else:
# If the target file is not available, try downloading it first.
download_subregion_osm_file(
subregion_name,
osm_file_format=".osm.pbf",
download_dir=data_dir,
update=update,
download_confirmation_required=download_confirmation_required,
verbose=False)
file_size_in_mb = round(
os.path.getsize(path_to_osm_pbf) / (1024**2), 1)
if file_size_limit and file_size_in_mb > file_size_limit:
chunks_no = math.ceil(
file_size_in_mb / file_size_limit
) # Parsing the '.osm.pbf' file in a chunk-wise way
else:
chunks_no = None
print("\nParsing \"{}\" ... ".format(subregion_filename), end="")
try:
osm_pbf_data = parse_osm_pbf(path_to_osm_pbf, chunks_no, parsed,
fmt_other_tags, fmt_single_geom,
fmt_multi_geom)
print("Successfully.\n")
except Exception as e:
print("Failed. {}\n".format(e))
osm_pbf_data = None
if pickle_it:
save_pickle(osm_pbf_data, path_to_pickle)
if rm_osm_pbf:
remove_subregion_osm_file(path_to_osm_pbf)
return osm_pbf_data
