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260 lines
9.1 KiB
Python
260 lines
9.1 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""Implementations for efficient processing of regular expressions"""
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from __future__ import annotations
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from typing import Iterator
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import abc
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import re
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import warnings
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import json
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class RegExprList(abc.ABC):
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"""Abstract base class for efficient processing of lists of regular
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expressions. The inheriting classes have to implement the
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:py:obj:`RegExprList.load_regexp` method which is used to load the list of
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regular expressions from a configuration, for example.
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Intention: By concatenating the regular expressions from the list into one
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regular expression, all patterns can be performed with just one search and
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it is not necessary to iterate over the individual expressions and perform
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n-searches.
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"""
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RE_GRP_PREFIX = "RegExprList"
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@abc.abstractmethod
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def load_regexps(self) -> list[tuple[str, tuple]]:
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"""Abstract method to load the list of regular expressions from a
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configuration. Returns a list of regular expressions (str) or a list of
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two-digit tuples with a regular expression on its first position and
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tuple of *n-objects* related to this regular expression on its second
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position:
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.. code:: python
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[
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( <regexpr_a>, (obj_a1, obj_a2, ..) ),
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( <regexpr_b>, (obj_b1, obj_b2, ..) ),
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..
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]
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If there is nothing related to the regular expression, the tuple is
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empty (n=0). The **objects** must be of a simple data type (str, int,
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..) so that they can be serialized (JSON).
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"""
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def __init__(self, chunk_size = 1000):
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self.chunk_size = chunk_size
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self._chunks = None
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self._data_json = None
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def _get_data(self):
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if self._data_json is not None:
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return json.loads(self._data_json)
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return self.load_regexps()
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@property
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def JSON(self):
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"""JSON representation of the regular expression list (see
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:py:obj:`RegExprList.load_regexp`).
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Serialize the :py:obj:`RegExprList` object into a JSON string.
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"""
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if self._data_json is not None:
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return self._data_json
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return json.dumps(self._get_data(), sort_keys=True)
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@classmethod
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def from_json(cls, json_str: str) -> "RegExprList":
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"""Build a :py:obj:`RegExprList` object and load regular expressions from
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a JSON string (compare :py:obj:`RegExprList.JSON`)."""
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obj = cls()
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obj._data_json = json_str
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return obj
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@property
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def chunks(self) -> list[tuple[re.Pattern, list[tuple]]]:
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"""A list of (concatenated) regular expressions"""
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if self._chunks is None:
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self._chunks = self.get_chunks()
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return self._chunks
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def get_chunks(self) -> list[tuple[re.Pattern, list[tuple]]]:
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"""Returns a list chunks items. A chunk item is a two-digit tuple with
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the concatened :py:obj:`re.Pattern` on its first position and a list of
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tuples (aka grp_tuples) on its second position.
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The regular expressions are placed in *named groups* and the group for
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the match can be determined using :py:obj:`re.Match.groupdict:`.
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.. code: re
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(?P<{_0}>foo)|(?P<_1>bar)
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.. code: python
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>>> grp_tuples[0]
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('foo', obj_foo_1, obj_foo_2, ...)
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>>> grp_tuples[1]
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('bar', obj_bar_1, obj_bar_1, ...)
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"""
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chunks = []
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re_list = self._get_data()
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chunk_re = ""
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grp_tuples = []
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c = -1
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for pos in range(0, len(re_list)):
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c += 1
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objs_tpl = ()
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if len(re_list[pos]) == 2:
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re_str, objs_tpl = re_list[pos]
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else:
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re_str = re_list[pos]
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grp_re = f"|(?P<{self.RE_GRP_PREFIX}_{c}>{re_str})"
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if len(grp_re) + len(chunk_re) > self.chunk_size:
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# remove the leading | from chunk_re
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chunks.append((re.compile(chunk_re[1:]), grp_tuples))
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chunk_re = ""
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grp_tuples = []
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chunk_re += grp_re
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grp_tuples.append((re_str, ) + objs_tpl)
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# Are there any leftovers from the for loop?
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if chunk_re:
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chunks.append((re.compile(chunk_re[1:]), grp_tuples))
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return chunks
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def search(self, string: str) -> tuple[re.Match, tuple] | None:
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"""Search for regular expressions in ``string``. If none of the regular
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expression matches, ``None`` is returned. If there is a match, the
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first match (:py:obj:`re.Match`) is returned along with a tuple of
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objects related to the matched pattern (compare :py:obj:`RegExprList`):
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.. code:: python
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( re.Match, ( <regexpr_str>, obj_1, obj_2, ..) )
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"""
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pos = -1
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for regexp, objs_tpl in self.chunks:
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m = regexp.search(string)
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if m:
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prefix = f"{self.RE_GRP_PREFIX}_"
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for grp_name, val in m.groupdict().items():
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if not grp_name.startswith(prefix):
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continue
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if val is None:
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continue
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try:
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pos = int(grp_name[len(prefix):])
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return (m, objs_tpl[pos])
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except ValueError:
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# This case should never occur unless there is something
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# wrong with the regular expressions.
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warnings.warn(f"ignoring group '{grp_name}' in regexpr match {m}: check your regular expressions!")
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m = None
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break
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return None
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def finditer(self, string: str) -> Iterator[tuple[re.Match, tuple]]:
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"""Return an iterator yielding over all *"non-overlapping"* matches for
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the RE pattern in string. Similar to :py:obj:`RegExpr.search` each
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match (:py:obj:`re.Match`) comes along with a tuple of objects related
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to the matched pattern:
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.. code:: python
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( re.Match, ( <regexpr_str>, obj_1, obj_2, ..) )
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Since the list of regular expressions is concatenated and also broken up
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at the boundaries of the chunks, it is not possible to ensure
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*"non-overlapping"* over the entirety of all regular expressions in the
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list! Nevertheless, there will be scenarios where this iterator makes
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sense, e.g. if the regular expressions do not overlap.
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.. caution:
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Use this method with care if the :py:obj:`regular expressions in the
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list <RegExprListload_regexps>` *overlap*, otherwise you get unexpected
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results!
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"""
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pos = -1
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for regexp, objs_tpl in self.chunks:
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for m in regexp.finditer(string):
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if m is None:
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continue
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prefix = f"{self.RE_GRP_PREFIX}_"
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for grp_name, val in m.groupdict().items():
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if not grp_name.startswith(prefix):
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continue
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if val is None:
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continue
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try:
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pos = int(grp_name[len(prefix):])
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yield (m, objs_tpl[pos])
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except ValueError:
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# This case should never occur unless there is something
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# wrong with the regular expressions.
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warnings.warn(f"ignoring group '{grp_name}' in regexpr match {m}: check your regular expressions!")
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continue
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##########################################################################
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## some tests of the POC above
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import pdb
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def test_POC():
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test_list = [
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# hint: the order of the list counts!
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(r'aa', ("double 'a' don't overlaps with any other regular expressions",)),
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(r'a', ("single 'a' overlaps with all other regular expressions",)),
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r'(.*\.)?academiapublishing\.org$',
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r'(.*\.)?academiaresearch\.org$',
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r'(.*\.)?academiascholarlyjournal\.org$',
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r'(.*\.)?academicjournalsinc\.com$',
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r'(.*\.)?academicjournalsonline\.co\.in$',
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r'(.*\.)?academicjournals\.org$',
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r'(.*\.)?academicoasis\.org$',
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r'(.*\.)?academic-publishing-house\.com$',
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r'(.*\.)?academicpub\.org$',
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r'(.*\.)?academicresearchjournals\.org$',
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r'(.*\.)?academicstar\.us$',
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r'(.*\.)?academicsworld\.org$',
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r'(.*\.)?academicwebpublishers\.org$',
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r'(.*\.)?academievoorcontinuverbeteren\.nl$',
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(r'(.*\.)?academyirmbr\.com$', ("XX", "YYYY", 7, 8.2)),
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r'(.*\.)?academyjournals\.net$',
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r'(.*\.)?academyofideas\.com$',
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r'(.*\.)?academypublish\.org$'
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]
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class TestCls(RegExprList):
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def load_regexps(self) -> list[tuple[str, tuple]] | list[str]:
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return test_list
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mylist = TestCls()
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string = "aa.www.academyirmbr.com"
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print(f"matches in '{string}' ...")
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for m, tpl in mylist.finditer(string):
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print(f" regexp: {tpl[0]} // match: {m.string[m.start():m.end()]} // objects related to regexp: {tpl}")
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if __name__ == "__main__":
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test_POC()
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