# encoding: utf-8
import logging
import traceback
import ast
import ckan.plugins.toolkit as toolkit
import ckan.logic as logic
import ckan.model as model
import ckan.lib.helpers as helpers
import json
import datetime
from dateutil import parser
import urllib.request
import urllib.parse
import urllib.error
import hashlib
import re
import os
import csv
from ckan.common import config, request, g, c
from urllib.parse import urlsplit, urlunsplit
import ckan.lib.helpers as helpers
from collections import OrderedDict
import pkg_resources
CKAN_TYPES = {'http://dcat-ap.de/def/datasetTypes/collection': 'collection'}
get_action = logic.get_action
log = logging.getLogger(__name__)
def odsh_openness_score_dataset_html(dataset):
score = -1
# dataset = json.loads(dataset)
resources = dataset.get('resources')
if resources is None:
return score
for resource in resources:
r_qa = resource.get('qa')
if r_qa:
try:
qa = None
# r_qa might be a string of a dictionary when 'dataset' is send from solr
if isinstance(r_qa, str):
qa = ast.literal_eval(r_qa)
else:
qa = r_qa
resource_score = qa.get('openness_score')
if resource_score > score:
score = resource_score
except AttributeError as e:
log.error('Error while calculating openness score %s: %s\nException: %s',
e.__class__.__name__, str(e), traceback.format_exc())
return score
def odsh_get_resource_details(resource_id):
resource_details = toolkit.get_action('resource_show')(
data_dict={'id': resource_id})
return resource_details
def odsh_get_resource_views(pkg_dict, resource):
context = {'model': model, 'session': model.Session,
'user': c.user, 'for_view': True,
'auth_user_obj': c.userobj}
return get_action('resource_view_list')(
context, {'id': resource['id']})
def odsh_get_bounding_box(pkg_dict):
try:
extras = pkg_dict.get('extras')
spatial = None
for f in extras:
if 'key' in f and f['key'] == 'spatial':
spatial = f['value']
break
if spatial is not None:
d = json.loads(spatial)
if 'coordinates' in d:
coords = d['coordinates']
return compute_bounding_box(coords)
except Exception as e:
log.error('Error while bounding box %s: %s\nException: %s',
e.__class__.__name__, str(e), traceback.format_exc())
return None
def compute_bounding_box(coords):
if len(coords) == 0:
return None
if type(coords[0]) != list:
return [coords[0], coords[0], coords[1], coords[1]]
coords = [c for sublist in coords for c in sublist]
if type(coords[0][0]) == list:
# multipolygon
coords = [c for sublist in coords for c in sublist]
minx = min(coords, key=lambda t: t[0])[0]
maxx = max(coords, key=lambda t: t[0])[0]
miny = min(coords, key=lambda t: t[1])[1]
maxy = max(coords, key=lambda t: t[1])[1]
return [maxx, minx, maxy, miny]
def odsh_get_spatial_text(pkg_dict):
extras = pkg_dict.get('extras')
spatial = None
if extras is None:
return None
for f in extras:
if 'key' in f and f['key'] == 'spatial_text':
spatial = f['value']
return spatial
return None
def extend_search_convert_local_to_utc_timestamp(str_timestamp):
if not str_timestamp:
return None
if not re.match(r'\d\d\d\d-\d\d-\d\d', str_timestamp):
raise ValueError('wrong format')
dt = parser.parse(str_timestamp, dayfirst=False).isoformat()
return dt+"Z"
def odsh_render_datetime(datetime_, fromIso=True):
date_format = '{0.day:02d}.{0.month:02d}.{0.year:04d}'
if not datetime_:
return ''
if not re.match(r'\d\d\d\d-\d\d-\d\d', datetime_):
return ''
try:
if fromIso:
DATETIME_FORMAT = '%Y-%m-%dT%H:%M:%S'
else:
DATETIME_FORMAT = '%Y-%m-%d'
dt = parser.parse(datetime_, dayfirst=False)
return date_format.format(dt)
except:
return ''
def odsh_resource_formats(as_simple_list=False):
"""
Retrieves a list of file formats from an RDF file using string manipulation and sorts them alphabetically.
Returns:
A list of dictionaries containing key-value pairs for each file format.
"""
# Path to the RDF file with resource formats
extension_path = pkg_resources.resource_filename('ckanext.odsh', '')
filepath = config.get(
'ckanext.odsh.resource_formats_fallback_filepath', extension_path + '/resources/fileformats.rdf')
# Read the contents of the RDF file
with open(filepath, 'r', encoding='utf-8') as file:
rdf_content = file.read()
# Regular expression pattern to extract the file format values
pattern = r'<rdf:Description rdf:about="http:\/\/publications.europa.eu\/resource\/authority\/file-type\/(\w+)">'
# List to store the key-value pairs
file_formats = []
# Find all matches of the pattern in the RDF content
matches = re.findall(pattern, rdf_content)
# Iterate over the matches and add key-value pairs to the list
for match in matches:
file_formats.append({'key': match, 'value': match})
# Sort the list alphabetically based on the file format values
file_formats = sorted(file_formats, key=lambda x: x['value'])
if (as_simple_list):
file_formats = [obj['value'] for obj in file_formats]
return file_formats
def odsh_encodeurl(url):
return urllib.parse.quote(url, safe='')
def odsh_create_checksum(in_string):
hashstring = hashlib.md5(in_string.encode('utf-8')).hexdigest()
return int(hashstring, base=16)
def odsh_extract_error(key, errors, field='extras'):
if not errors or not (field in errors):
return None
ext = errors[field]
for item in ext:
if 'key' in item:
for error in item['key']:
if error.startswith(key):
return error
def odsh_extract_error_new(key, errors):
if not errors or not ('__extras' in errors):
return None
error = errors['__extras'][0].get(key, None)
if error:
return key + ': ' + error
def odsh_extract_value_from_extras(extras, key):
if not extras:
return None
for item in extras:
if 'key' in item and item['key'].lower() == key.lower():
if 'value' in item:
return item['value']
return None
def presorted_license_options(existing_license_id=None):
'''Returns [(l.title, l.id), ...] for the licenses configured to be
offered. Always includes the existing_license_id, if supplied.
'''
register = model.Package.get_license_register()
licenses = list(register.values())
license_ids = [license.id for license in licenses]
if existing_license_id and existing_license_id not in license_ids:
license_ids.insert(0, existing_license_id)
return [('', '')]+[
(license_id,
register[license_id].title if license_id in register else license_id)
for license_id in license_ids]
def odsh_has_more_facets(facet, search_facets, limit=None, exclude_active=False):
facets = []
for facet_item in search_facets.get(facet)['items']:
if not len(facet_item['name'].strip()) or facet_item['count'] == 0:
continue
if not (facet, facet_item['name']) in list(request.args.items()):
facets.append(dict(active=False, **facet_item))
elif not exclude_active:
facets.append(dict(active=True, **facet_item))
if getattr(g, 'search_facets_limits', None) and limit is None:
limit = g.search_facets_limits.get(facet)
if limit is not None and len(facets) > limit:
return True
return False
def odsh_public_url():
return config.get('ckanext.odsh.public_url')
def spatial_extends_available():
extension_path = pkg_resources.resource_filename('ckanext.odsh', '')
file_path = config.get('ckanext.odsh.spatial.mapping',
extension_path + '/resources/schleswig-holstein_geojson.csv')
try:
mapping_file = urllib.request.urlopen(file_path)
except Exception:
raise Exception("Could not load spatial mapping file!")
spatial_text = str()
spatial = str()
cr = csv.reader(mapping_file, delimiter="\t")
result = []
for row in cr:
spatial_text = row[1]
result.append(spatial_text.decode('UTF-8'))
return result
def odsh_public_resource_url(res):
home = config.get('ckanext.odsh.public_url')
if res.get('url_type', None) == 'upload' and 'url' in res:
f = urlsplit(res['url'])
return urlunsplit(('', '', f[2], f[3], f[4]))
else:
return res['url']
def odsh_show_testbanner():
return config.get('ckanext.odsh.showtestbanner', False) == 'True'
def odsh_get_facet_items_dict(name, search_facets, limit=None):
'''
Gets all facets like 'get_facet_items_dict' but sorted alphabetically
instead by count.
'''
if name == 'groups':
limit = 20
facets = helpers.get_facet_items_dict(name, search_facets, limit)
facets.sort(key=lambda it: (it['display_name'].lower(), -it['count']))
return facets
def odsh_main_groups():
'''Return a list of the groups to be shown on the start page.'''
# Get a list of all the site's groups from CKAN, sorted by number of
# datasets.
groups = toolkit.get_action('group_list')(
data_dict={'all_fields': True})
return groups
def odsh_now():
return helpers.render_datetime(datetime.datetime.now(), "%Y-%m-%d")
def odsh_group_id_selected(selected, group_id):
if type(selected) is not list:
selected = [selected]
for g in selected:
if (isinstance(g, str) and group_id == g) or (type(g) is dict and group_id == g['id']):
return True
return False
# def odsh_remove_route(map, routename):
# route = None
# for i, r in enumerate(map.matchlist):
# if r.name == routename:
# route = r
# break
# if route is not None:
# map.matchlist.remove(route)
# for key in map.maxkeys:
# if key == route.maxkeys:
# map.maxkeys.pop(key)
# map._routenames.pop(route.name)
# break
def is_within_last_month(date, date_ref=None):
'''
date is a datetime.date object containing the date to be checked
date_ref is a datetime.date object containing the reference date
if date_ref is not specified, the date of today is used
this method is needed by the method OdshPlugin.before_view in plugin.py
'''
if not date_ref:
date_ref = datetime.date.today()
[year_ref, month_ref, day_ref] = [
date_ref.year, date_ref.month, date_ref.day]
try:
if month_ref > 1:
one_month_ago = datetime.date(year_ref, month_ref-1, day_ref)
else:
one_month_ago = datetime.date(year_ref-1, 12, day_ref)
except ValueError:
# this happens if month before month_ref has less days than month_ref
one_month_ago = datetime.date(
year_ref, month_ref, 1) - datetime.timedelta(days=1)
if date > one_month_ago:
return True
return False
def get_all_datasets_belonging_to_collection(context, collection_name):
rel_collection_dict = dict({"id": collection_name})
name_list = list()
try:
list_rel_collection = get_action(
'package_relationships_list')(context, rel_collection_dict)
except AssertionError:
# if there does not exist an relationship, returns an empty list
return name_list
for item in list_rel_collection:
item_object = item.get('object')
name_list.append(item_object)
return name_list
def get_all_datasets_belonging_to_collection_by_dataset(context, dataset_name):
collection_name = get_collection_name_by_dataset(context, dataset_name)
if collection_name:
name_list = get_all_datasets_belonging_to_collection(
context, collection_name)
return name_list
return list()
def get_collection_name_by_dataset(context, dataset_name):
rel_dataset_dict = dict({"id": dataset_name})
list_rel_dataset = toolkit.get_action(
'package_relationships_list')(context, rel_dataset_dict)
if not len(list_rel_dataset):
return None
collection_name = list_rel_dataset[0]['object']
return collection_name
def get_successor_and_predecessor_dataset(context, pkg_dict):
dataset_name = pkg_dict.get('name')
siblings_dicts_with_access = _get_siblings_dicts_with_access(
context, pkg_dict)
if siblings_dicts_with_access:
n_siblings = len(siblings_dicts_with_access)
siblings_dicts_sorted_by_date_issued = _sort_siblings_by_name_and_date(
siblings_dicts_with_access)
siblings_names_sorted_by_date_issued = [
d['name'] for d in siblings_dicts_sorted_by_date_issued]
id_current_dataset = siblings_names_sorted_by_date_issued.index(
dataset_name)
predecessor_name = (
siblings_names_sorted_by_date_issued[id_current_dataset-1] if (id_current_dataset > 0)
else None
)
successor_name = (
siblings_names_sorted_by_date_issued[id_current_dataset+1] if (id_current_dataset < n_siblings-1)
else None
)
else:
predecessor_name, successor_name = None, None
return successor_name, predecessor_name
def _get_siblings_dicts_with_access(context, pkg_dict):
dataset_name = pkg_dict.get('name')
list_of_siblings = get_all_datasets_belonging_to_collection_by_dataset(
context, dataset_name)
n_siblings = len(list_of_siblings)
if n_siblings > 0:
siblings_dicts = [get_package_dict(name) for name in list_of_siblings]
def user_has_access(pkg_dict): return helpers.check_access(
'package_show', pkg_dict)
siblings_dicts_with_access = list(
filter(user_has_access, siblings_dicts))
return siblings_dicts_with_access
return None
def _sort_siblings_by_name_and_date(siblings_dicts):
'''
sort by name first and then by date to have a fallback if dates are the same
'''
def _get_name(pkg_dict): return pkg_dict.get('name')
def _get_issued(pkg_dict): return odsh_extract_value_from_extras(
pkg_dict.get('extras'), 'issued')
siblings_dicts_sorted_by_name = sorted(siblings_dicts, key=_get_name)
siblings_dicts_sorted_by_date_issued = sorted(
siblings_dicts_sorted_by_name, key=_get_issued)
return siblings_dicts_sorted_by_date_issued
def get_package_dict(name):
return model.Package.get(name).as_dict()
def get_successor_and_predecessor_urls(context, pkg_dict):
successor_name, predecessor_name = get_successor_and_predecessor_dataset(
context, pkg_dict)
successor_url, predecessor_url = (
helpers.url_for('dataset.read', id=name)
if name is not None
else None
for name in (successor_name, predecessor_name)
)
return successor_url, predecessor_url
def short_name_for_category(category_name):
translations = {
'soci': 'Bevölkerung',
'educ': 'Bildung',
'ener': 'Energie',
'heal': 'Gesundheit',
'intr': 'Internationales',
'just': 'Justiz',
'agri': 'Landwirtschaft',
'gove': 'Regierung',
'regi': 'Regionales',
'envi': 'Umwelt',
'tran': 'Verkehr',
'econ': 'Wirtschaft',
'tech': 'Wissenschaft',
}
return translations.get(category_name)
def _load_mapping(mapping_file_path, uri=None):
result = None
try:
with open(mapping_file_path) as mapping_json:
MAPPING = json.load(mapping_json, object_pairs_hook=OrderedDict)
if uri:
# Filter MAPPING to find the entry with the matching uri
filtered_entries = [entry for entry in MAPPING if entry.get('uri') == uri]
result = filtered_entries[0] if filtered_entries else None
else:
# If no uri provided, return all entries in key/value format (used in form)
result = [{'key': entry['uri'], 'value': entry.get('short_title', entry['title'])} for entry in MAPPING]
except FileNotFoundError:
print("File not found or path is incorrect.")
except json.JSONDecodeError:
print("Error decoding JSON.")
return result
def odsh_load_applicable_legislations(uri=None):
'''
Load applicable legislations.
'''
extension_path = pkg_resources.resource_filename('ckanext.odsh', '')
default_mapping_file_path = os.path.join(extension_path, 'resources', 'applicable_legislations.json')
mapping_file_path = config.get('ckanext.odsh.applicable_legislations_file_path', default_mapping_file_path)
return _load_mapping(mapping_file_path, uri)
def odsh_load_hvd_categories(uri=None):
'''
Load HVD categories.
'''
extension_path = pkg_resources.resource_filename('ckanext.odsh', '')
default_mapping_file_path = os.path.join(extension_path, 'resources', 'hvd_categories.json')
mapping_file_path = config.get('ckanext.odsh.hvd_categories_file_path', default_mapping_file_path)
return _load_mapping(mapping_file_path, uri)
def odsh_load_mdk_sample_dataset():
'''
Load sample dataset (Musterkatalog/Musterdatensatz).
See https://bertelsmannstift.github.io/Musterdatenkatalog/def/musterdatensatz.rdf
and corresponding mapping in mdk_mapping.json file.
'''
extension_path = pkg_resources.resource_filename('ckanext.odsh', '')
default_sample_data_file_path = extension_path + '/resources/mdk_mapping.json'
sample_data_file_path = config.get(
'ckanext.odsh.sample_data_file_path', default_sample_data_file_path)
try:
with open(sample_data_file_path) as mapping_json:
MDK_MAPPING = json.loads(
mapping_json.read(), object_pairs_hook=OrderedDict)
default = [{'value': toolkit._('Select sample dataset..'), 'key': ''}]
mdk = [{'key': key, 'value': MDK_MAPPING[key]}
for key in MDK_MAPPING]
result = default+mdk
except IOError as err:
log.error(
'Could not load sample dataset mapping file from {}'
.format(sample_data_file_path)
)
raise
except ValueError as err:
log.error(
'Could not convert sample dataset mapping file from json. \nSample dataset mapping file: {}'
.format(sample_data_file_path)
)
raise
return result
def odsh_load_raw_mdk_sample_dataset():
'''
Load sample dataset (Musterkatalog/Musterdatensatz).
See https://bertelsmannstift.github.io/Musterdatenkatalog/def/musterdatensatz.rdf
and corresponding mapping in mdk_mapping.json file.
'''
extension_path = pkg_resources.resource_filename('ckanext.odsh', '')
default_sample_data_file_path = extension_path + '/resources/mdk_mapping.json'
sample_data_file_path = config.get(
'ckanext.odsh.sample_data_file_path', default_sample_data_file_path)
try:
with open(sample_data_file_path) as mapping_json:
result = json.loads(mapping_json.read(),
object_pairs_hook=OrderedDict)
except IOError as err:
log.error(
'Could not load sample dataset mapping file from {}'
.format(sample_data_file_path)
)
raise
except ValueError as err:
log.error(
'Could not convert sample dataset mapping file from json. \nSample dataset mapping file: {}'
.format(sample_data_file_path)
)
raise
return result
def map_dct_type_to_ckan_type(dct_type):
'''
matches the field dct:type from a harvested rdf file
to the corresponding ckan package type
'''
ckan_type = CKAN_TYPES.get(dct_type)
return ckan_type
def map_ckan_type_to_dct_type(ckan_type):
DCT_TYPES = _revert_dict(CKAN_TYPES)
dct_type = DCT_TYPES.get(ckan_type)
return dct_type
def _revert_dict(d):
d_inverse = {v: k for k, v in d.items()}
return d_inverse
def add_pkg_to_collection(id_pkg, id_collection):
if id_pkg and id_collection:
relationship_dict = {
'subject': id_pkg,
'object': id_collection,
'type': 'child_of',
}
toolkit.get_action('package_relationship_create')(
None, relationship_dict)
def correct_missing_relationship(pkg_dict, pkg_relationships_from_model):
'''
This function corrects missing relationship in show package.
Note this fix is only good with one or non relationship.
This error is well known but was not fixed. https://github.com/ckan/ckan/issues/3114
The error causes the deletation of relationships, because package_show is
used in resource_create to get the package.
'''
if pkg_relationships_from_model:
relationship_from_model = pkg_relationships_from_model[0]
relationship_list_from_dict = pkg_dict.get('relationships_as_subject')
type_pkg = pkg_dict.get('type')
needs_update = type_pkg == 'dataset' and not relationship_list_from_dict
if needs_update:
relationship_for_package = {
'__extras': {
'object_package_id': relationship_from_model.object_package_id,
'subject_package_id': relationship_from_model.subject_package_id,
},
'comment': relationship_from_model.subject_package_id,
'id': relationship_from_model.id,
'type': relationship_from_model.type,
}
pkg_dict['relationships_as_subject'].append(
relationship_for_package)
return pkg_dict
def get_pkg_relationships_from_model(pkg_dict):
pkg_id = pkg_dict.get('id')
return model.Package.get(pkg_id).get_relationships()
def load_language_mapping():
extension_path = pkg_resources.resource_filename('ckanext.odsh', '')
file_path = config.get('ckanext.odsh.language_mapping',
extension_path + '/resources/language_mapping.json')
with open(file_path) as language_mapping_json:
LANGUAGE_MAPPING = json.loads(language_mapping_json.read())
return LANGUAGE_MAPPING
def load_json_to_ordered_dict(json_str):
return json.loads(json_str, object_pairs_hook=OrderedDict)
def get_language_of_package(pkg_dict):
LANGUAGE_MAPPING = load_language_mapping()
language_id = _get_language_id(pkg_dict)
if not language_id:
return None
language = LANGUAGE_MAPPING.get(language_id)
return language
def get_language_icon(pkg_dict):
ICONS = {
"http://publications.europa.eu/resource/authority/language/DAN": '/base/images/icon_lang_danish.png',
"http://publications.europa.eu/resource/authority/language/ENG": '/base/images/icon_lang_english.png',
}
language_id = _get_language_id(pkg_dict)
if not language_id:
return None
return ICONS.get(language_id)
def _get_language_id(pkg_dict):
language_id = odsh_extract_value_from_extras(
pkg_dict.get('extras'), 'language')
language_id = pkg_dict.get('language')
if not language_id:
language_id = odsh_extract_value_from_extras(
pkg_dict.get('extras'), 'language'
)
if not language_id:
return None
language_id_cleaned = re.sub('[\[\]\"]', '', language_id)
return language_id_cleaned
def get_spatial_for_selection():
extension_path = pkg_resources.resource_filename('ckanext.odsh', '')
file_path = config.get('ckanext.odsh.spatial.mapping',
extension_path + '/resources/schleswig-holstein_geojson.csv')
with open(file_path, newline='') as mapping_file:
cr = csv.reader(mapping_file, delimiter="\t")
spatial_mapping = list(cr)
unique_mapping = []
unique_mapping.append({'value': toolkit._('Select spatial reference..'), 'key': ''})
seen_values = set()
for key, value, _ in spatial_mapping:
if value in seen_values:
continue # Skip if the value has already been seen
if "municipalityKey" in key:
unique_mapping.append({'key': key, 'value': value})
else:
# Check if there is a municipality key entry for the value
municipality_entry = next(
(entry for entry in spatial_mapping if entry[1]
== value and "municipalityKey" in entry[0]),
None
)
if municipality_entry:
# If a municipality key entry exists, use it instead of the current key
unique_mapping.append(
{'key': municipality_entry[0], 'value': value})
else:
# Otherwise, use the current key
unique_mapping.append({'key': key, 'value': value})
seen_values.add(value)
return unique_mapping
def get_language_for_selection():
LANGUAGE_MAPPING = load_language_mapping()
dict_for_select_box = [
{'key': key, 'value': LANGUAGE_MAPPING[key]} for key in LANGUAGE_MAPPING]
return dict_for_select_box
def get_package_dict(name):
'''
raises ckan.logic.NotFound if not found
'''
package_dict = toolkit.get_action('package_show')(None, {'id': name})
return package_dict
def size_of_fmt(num, suffix='B'):
for unit in ['', ' k', ' M', ' G', ' T', ' P', ' E', ' Z']:
if abs(num) < 1000.0:
return "%3.1f%s%s" % (num, unit, suffix)
num /= 1000.0
return "%.1f%s%s" % (num, 'Y', suffix)
def get_resource_size(resource):
resource_size = resource.get('size')
if resource_size:
return size_of_fmt(resource_size)
def get_address_org(organization):
list_extras = organization.get('extras')
address = dict()
if not list_extras:
return address
for extra in list_extras:
address.update({extra.get('key'): extra.get('value')})
web = address.get('web')
if web and not web.startswith('http'):
web = 'http://' + web
address.update({'web': web})
return address
def get_body_mail(organization, package):
package_name = package.get('name')
url = helpers.url_for('dataset.read', id=package_name, qualified=True)
title = package.get('title')
anrede = "Sehr geehrte Damen und Herren," + "%0D%0A" + "%0D%0A" + \
"zu folgendem Eintrag habe ich eine Anmerkung/Frage:" + "%0D%0A" + "%0D%0A"
mail_titel = "Titel: " + title + "%0D%0A"
mail_document = "Dokument-ID: " + package_name + "%0D%0A"
mail_url = "URL: " + url + "%0D%0A" + "%0D%0A"
message = mail_titel + mail_document + mail_url + \
"Mein Kommentar:" + "%0D%0A" + "%0D%0A" + "%0D%0A" + "%0D%0A"
return anrede + message
def format_resource_format(format_str):
"""
This function takes a format string as input and removes the trailing '_SRVC'
from it if present. If '_SRVC' is not found, the original format string is returned.
Args:
format_str (str): The format string to be processed.
Returns:
str: The processed format string with '_SRVC' removed if present.
"""
if format_str.endswith('_SRVC'):
return format_str[:-5]
else:
return format_str
def extract_email(text):
if not isinstance(text, str):
return None # Return None for non-string inputs
# Regular expression pattern to match email addresses
email_pattern = r'[\w\.-]+@[a-zA-Z\d\.-]+\.[a-zA-Z]{2,}'
# Find all email addresses in the input text using the regular expression pattern
matches = re.findall(email_pattern, text)
# If there are matches, return the first email address found, else return None
return matches[0] if matches else None
def odsh_matomo_enabled():
return config.get('ckanext.odsh.matomo_enabled', False) == 'True'
def odsh_matomo_base_uri():
return config.get('ckanext.odsh.matomo_base_uri', None)
def odsh_matomo_site_id():
return config.get('ckanext.odsh.matomo_site_id', None)