"""
Configuration for Sanitizers.
"""
+from typing import Sequence, Union, Optional, Pattern, Callable, Any, TYPE_CHECKING
from collections import UserDict
import re
from nominatim.errors import UsageError
-class SanitizerConfig(UserDict):
- """ Dictionary with configuration options for a sanitizer.
-
- In addition to the usualy dictionary function, the class provides
- accessors to standard sanatizer options that are used by many of the
+# working around missing generics in Python < 3.8
+# See https://github.com/python/typing/issues/60#issuecomment-869757075
+if TYPE_CHECKING:
+ _BaseUserDict = UserDict[str, Any]
+else:
+ _BaseUserDict = UserDict
+
+class SanitizerConfig(_BaseUserDict):
+ """ The `SanitizerConfig` class is a read-only dictionary
+ with configuration options for the sanitizer.
+ In addition to the usual dictionary functions, the class provides
+ accessors to standard sanitizer options that are used by many of the
sanitizers.
"""
- def get_string_list(self, param, default=tuple()):
+ def get_string_list(self, param: str, default: Sequence[str] = tuple()) -> Sequence[str]:
""" Extract a configuration parameter as a string list.
- If the parameter value is a simple string, it is returned as a
- one-item list. If the parameter value does not exist, the given
- default is returned. If the parameter value is a list, it is checked
- to contain only strings before being returned.
+
+ Arguments:
+ param: Name of the configuration parameter.
+ default: Takes a tuple or list of strings which will
+ be returned if the parameter is missing in the
+ sanitizer configuration.
+ Note that if this default parameter is not
+ provided then an empty list is returned.
+
+ Returns:
+ If the parameter value is a simple string, it is returned as a
+ one-item list. If the parameter value does not exist, the given
+ default is returned. If the parameter value is a list, it is
+ checked to contain only strings before being returned.
"""
values = self.data.get(param, None)
if values is None:
- return None if default is None else list(default)
+ return list(default)
if isinstance(values, str):
return [values] if values else []
return values
- def get_delimiter(self, default=',;'):
- """ Return the 'delimiter' parameter in the configuration as a
- compiled regular expression that can be used to split the names on the
- delimiters. The regular expression makes sure that the resulting names
- are stripped and that repeated delimiters
- are ignored but it will still create empty fields on occasion. The
- code needs to filter those.
+ def get_bool(self, param: str, default: Optional[bool] = None) -> bool:
+ """ Extract a configuration parameter as a boolean.
+
+ Arguments:
+ param: Name of the configuration parameter. The parameter must
+ contain one of the yaml boolean values or an
+ UsageError will be raised.
+ default: Value to return, when the parameter is missing.
+ When set to `None`, the parameter must be defined.
- The 'default' parameter defines the delimiter set to be used when
- not explicitly configured.
+ Returns:
+ Boolean value of the given parameter.
+ """
+ value = self.data.get(param, default)
+
+ if not isinstance(value, bool):
+ raise UsageError(f"Parameter '{param}' must be a boolean value ('yes' or 'no').")
+
+ return value
+
+
+ def get_delimiter(self, default: str = ',;') -> Pattern[str]:
+ """ Return the 'delimiters' parameter in the configuration as a
+ compiled regular expression that can be used to split strings on
+ these delimiters.
+
+ Arguments:
+ default: Delimiters to be used when 'delimiters' parameter
+ is not explicitly configured.
+
+ Returns:
+ A regular expression pattern which can be used to
+ split a string. The regular expression makes sure that the
+ resulting names are stripped and that repeated delimiters
+ are ignored. It may still create empty fields on occasion. The
+ code needs to filter those.
"""
delimiter_set = set(self.data.get('delimiters', default))
if not delimiter_set:
return re.compile('\\s*[{}]+\\s*'.format(''.join('\\' + d for d in delimiter_set)))
- def get_filter_kind(self, *default):
- """ Return a filter function for the name kind from the 'filter-kind'
- config parameter. The filter functions takes a name item and returns
- True when the item passes the filter.
-
- If the parameter is empty, the filter lets all items pass. If the
- paramter is a string, it is interpreted as a single regular expression
- that must match the full kind string. If the parameter is a list then
- any of the regular expressions in the list must match to pass.
+ def get_filter(self, param: str, default: Union[str, Sequence[str]] = 'PASS_ALL'
+ ) -> Callable[[str], bool]:
+ """ Returns a filter function for the given parameter of the sanitizer
+ configuration.
+
+ The value provided for the parameter in sanitizer configuration
+ should be a string or list of strings, where each string is a regular
+ expression. These regular expressions will later be used by the
+ filter function to filter strings.
+
+ Arguments:
+ param: The parameter for which the filter function
+ will be created.
+ default: Defines the behaviour of filter function if
+ parameter is missing in the sanitizer configuration.
+ Takes a string(PASS_ALL or FAIL_ALL) or a list of strings.
+ Any other value of string or an empty list is not allowed,
+ and will raise a ValueError. If the value is PASS_ALL, the filter
+ function will let all strings to pass, if the value is FAIL_ALL,
+ filter function will let no strings to pass.
+ If value provided is a list of strings each string
+ is treated as a regular expression. In this case these regular
+ expressions will be used by the filter function.
+ By default allow filter function to let all strings pass.
+
+ Returns:
+ A filter function that takes a target string as the argument and
+ returns True if it fully matches any of the regular expressions
+ otherwise returns False.
"""
- filters = self.get_string_list('filter-kind', default)
+ filters = self.get_string_list(param) or default
- if not filters:
+ if filters == 'PASS_ALL':
return lambda _: True
+ if filters == 'FAIL_ALL':
+ return lambda _: False
- regexes = [re.compile(regex) for regex in filters]
+ if filters and isinstance(filters, (list, tuple)):
+ regexes = [re.compile(regex) for regex in filters]
+ return lambda target: any(regex.fullmatch(target) for regex in regexes)
- return lambda name: any(regex.fullmatch(name.kind) for regex in regexes)
+ raise ValueError("Default parameter must be a non-empty list or a string value \
+ ('PASS_ALL' or 'FAIL_ALL').")
projects / nominatim.git / blobdiff