1369 lines
51 KiB
Python
Executable File
1369 lines
51 KiB
Python
Executable File
#!/usr/bin/env python3
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# original wikiq headers are: title articleid revid date_time anon
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# editor editor_id minor text_size text_entropy text_md5 reversion
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# additions_size deletions_size
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import argparse
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import gc
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import json
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import os.path
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import re
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import sys
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from collections import deque
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from hashlib import sha1
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from io import TextIOWrapper
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from itertools import groupby
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from subprocess import PIPE, Popen
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from typing import IO, Any, Generator, TextIO, Union
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import mwpersistence
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import mwreverts
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import mwxml
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import pywikidiff2
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from deltas.tokenizers import wikitext_split
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from more_itertools import ichunked
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from mwxml import Dump
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import asyncio
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import wikiq.tables as tables
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from wikiq.tables import RevisionTable
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from wikiq.wiki_diff_matcher import WikiDiffMatcher
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from wikiq.wikitext_parser import WikitextParser
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TO_ENCODE = ("title", "editor")
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PERSISTENCE_RADIUS = 7
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DIFF_TIMEOUT = 60
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from pathlib import Path
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import pyarrow as pa
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import pyarrow.csv as pacsv
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import pyarrow.parquet as pq
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from deltas import SegmentMatcher, SequenceMatcher
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class PersistMethod:
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none = 0
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sequence = 1
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segment = 2
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legacy = 3
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wikidiff2 = 4
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async def diff_async(differ, last_text, text):
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"""Returns (result, timed_out) tuple."""
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try:
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loop = asyncio.get_running_loop()
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result = await asyncio.wait_for(
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asyncio.to_thread(differ.inline_json_diff, last_text, text),
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timeout=DIFF_TIMEOUT
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)
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return result, False
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except TimeoutError as e:
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return None, True
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def calculate_persistence(tokens_added):
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return (sum([(len(x.revisions) - 1) for x in tokens_added]), len(tokens_added))
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def fix_hex_digests(revs: list[mwxml.Revision]) -> list[mwxml.Revision]:
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i = 0
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for rev in revs:
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if rev.text is None:
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rev.text = ""
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if not rev.sha1 and not rev.deleted.text:
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rev.sha1 = sha1(bytes(rev.text, "utf8")).hexdigest()
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revs[i] = rev
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i += 1
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return revs
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class WikiqIterator:
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def __init__(self, fh, collapse_user=False):
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self.fh = fh
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self.collapse_user = collapse_user
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self.mwiterator = Dump.from_file(self.fh)
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self.namespace_map = {
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ns.id: ns.name for ns in self.mwiterator.site_info.namespaces
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}
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self.__pages: Generator[WikiqPage] = self.load_pages()
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def load_pages(self):
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for page in self.mwiterator:
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yield WikiqPage(
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page, namespace_map=self.namespace_map, collapse_user=self.collapse_user
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)
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def __iter__(self):
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return self.__pages
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def __next__(self):
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return next(self.__pages)
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class WikiqPage:
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__slots__ = (
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"id",
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"redirect",
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"restrictions",
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"mwpage",
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"__revisions",
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"collapse_user",
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)
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def __init__(self, page, namespace_map, collapse_user=False):
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self.id = page.id
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# following mwxml, we assume namespace 0 in cases where
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# page.namespace is inconsistent with namespace_map
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if page.namespace not in namespace_map:
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page.namespace = 0
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if page.namespace != 0:
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page.title = ":".join([namespace_map[page.namespace], page.title])
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self.restrictions = page.restrictions
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self.collapse_user = collapse_user
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self.mwpage = page
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self.__revisions: Generator[list[mwxml.Revision]] = self.rev_list()
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@staticmethod
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def user_text(rev) -> Union[str, None]:
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return None if rev.deleted.user else rev.user.text
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def rev_list(self):
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# Outline for how we want to handle collapse_user=True
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# iteration rev.user prev_rev.user add prev_rev?
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# 0 A None Never
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# 1 A A False
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# 2 B A True
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# 3 A B True
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# 4 A A False
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# Post-loop A Always
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if not self.collapse_user:
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for rev in self.mwpage:
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yield [rev]
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return
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for _, revs in groupby(self.mwpage, self.user_text):
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# All revisions are either from the same user, or this is a single
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# revision where the user is missing.
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yield list(revs)
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def __iter__(self):
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return self.__revisions
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def __next__(self):
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return next(self.__revisions)
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"""
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A RegexPair is defined by a regular expression (pattern) and a label.
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The pattern can include capture groups. If it does then each capture group will have a resulting column in the output.
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If the pattern does not include a capture group, then only one output column will result.
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"""
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class RegexPair(object):
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def __init__(self, pattern, label):
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self.pattern = re.compile(pattern)
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self.label = label
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self.has_groups = bool(self.pattern.groupindex)
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if self.has_groups:
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self.capture_groups = list(self.pattern.groupindex.keys())
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def get_pyarrow_fields(self):
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if self.has_groups:
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fields = [
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pa.field(self._make_key(cap_group), pa.string())
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for cap_group in self.capture_groups
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]
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else:
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fields = [pa.field(self.label, pa.string())]
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return fields
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def _make_key(self, cap_group):
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return "{}_{}".format(self.label, cap_group)
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def matchmake(self, content: str) -> dict:
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temp_dict = {}
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# if there are named capture groups in the regex
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if self.has_groups:
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# if there are matches of some sort in this revision content, fill the lists for each cap_group
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if self.pattern.search(content) is not None:
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m = self.pattern.finditer(content)
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matchobjects = list(m)
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for cap_group in self.capture_groups:
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key = self._make_key(cap_group)
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temp_list = []
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for match in matchobjects:
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# we only want to add the match for the capture group if the match is not None
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if match.group(cap_group) is not None:
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temp_list.append(match.group(cap_group))
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# if temp_list of matches is empty just make that column None
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if len(temp_list) == 0:
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temp_dict[key] = None
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# else we put in the list we made in the for-loop above
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else:
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temp_dict[key] = ", ".join(temp_list)
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# there are no matches at all in this revision content, we default values to None
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else:
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for cap_group in self.capture_groups:
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key = self._make_key(cap_group)
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temp_dict[key] = None
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# there are no capture groups, we just search for all the matches of the regex
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else:
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# given that there are matches to be made
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if type(content) in (str, bytes):
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if self.pattern.search(content) is not None:
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m = self.pattern.findall(content)
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temp_dict[self.label] = ", ".join(m)
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else:
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temp_dict[self.label] = None
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return temp_dict
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class WikiqParser:
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def __init__(
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self,
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input_file: Union[TextIOWrapper, IO[Any], IO[bytes]],
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output_file: Union[TextIO, str],
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regex_match_revision: list[str],
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regex_match_comment: list[str],
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regex_revision_label: list[str],
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regex_comment_label: list[str],
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text: bool = False,
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diff: bool = False,
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collapse_user: bool = False,
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persist: int = None,
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namespaces: Union[list[int], None] = None,
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revert_radius: int = 15,
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output_parquet: bool = True,
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batch_size: int = 1024,
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partition_namespaces: bool = False,
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resume_from_revid: int = None,
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external_links: bool = False,
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citations: bool = False,
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wikilinks: bool = False,
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templates: bool = False,
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headings: bool = False,
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):
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"""
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Parameters:
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persist : what persistence method to use. Takes a PersistMethod value
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resume_from_revid : if set, skip all revisions up to and including this revid
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"""
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self.input_file = input_file
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self.collapse_user: bool = collapse_user
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self.persist: int = persist
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self.namespaces = []
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self.revert_radius = revert_radius
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self.diff = diff
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self.text = text
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self.partition_namespaces = partition_namespaces
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self.resume_from_revid = resume_from_revid
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self.external_links = external_links
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self.citations = citations
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self.wikilinks = wikilinks
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self.templates = templates
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self.headings = headings
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if namespaces is not None:
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self.namespace_filter = set(namespaces)
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else:
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self.namespace_filter = None
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self.regex_schemas = []
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self.regex_revision_pairs: list[RegexPair] = self.make_matchmake_pairs(
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regex_match_revision, regex_revision_label
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)
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self.regex_comment_pairs: list[RegexPair] = self.make_matchmake_pairs(
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regex_match_comment, regex_comment_label
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)
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# here we initialize the variables we need for output.
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self.batch_size = batch_size
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self.output_parquet = output_parquet
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if output_parquet is True:
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self.pq_writer = None
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self.output_file = output_file
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self.parquet_buffer = []
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else:
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self.print_header = True
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if output_file == sys.stdout.buffer:
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self.output_file = output_file
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else:
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self.output_file = open(output_file, "wb")
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def make_matchmake_pairs(self, patterns, labels) -> list[RegexPair]:
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if (patterns is not None and labels is not None) and (
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len(patterns) == len(labels)
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):
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result: list[RegexPair] = []
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for pattern, label in zip(patterns, labels):
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rp = RegexPair(pattern, label)
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result.append(rp)
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self.regex_schemas = self.regex_schemas + rp.get_pyarrow_fields()
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return result
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elif (patterns is None) and (labels is None):
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return []
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else:
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sys.exit(
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"Each regular expression *must* come with a corresponding label and vice versa."
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)
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def matchmake_revision(self, rev: mwxml.Revision):
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result = self.matchmake_text(rev.text)
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for k, v in self.matchmake_comment(rev.comment).items():
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result[k] = v
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return result
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def matchmake_text(self, text: str):
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return self.matchmake_pairs(text, self.regex_revision_pairs)
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def matchmake_comment(self, comment: str):
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return self.matchmake_pairs(comment, self.regex_comment_pairs)
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@staticmethod
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def matchmake_pairs(text, pairs):
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result = {}
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for pair in pairs:
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for k, v in pair.matchmake(text).items():
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result[k] = v
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return result
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def __get_namespace_from_title(self, title):
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default_ns = None
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for ns in self.namespaces:
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# skip if the namespace is not defined
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if ns is None:
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default_ns = self.namespaces[ns]
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continue
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if title.startswith(ns + ":"):
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return self.namespaces[ns]
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# if we've made it this far with no matches, we return the default namespace
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return default_ns
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def process(self):
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# create a regex that creates the output filename
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# output_filename = re.sub(r'^.*/(enwiki\-\d+)\-.*p(\d+)p.*$',
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# r'output/wikiq-\1-\2.tsv',
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# input_filename)
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# Track whether we've passed the resume point
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found_resume_point = self.resume_from_revid is None
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# When resuming with parquet, write new data to temp file/directory and merge at the end
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original_output_file = None
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temp_output_file = None
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if self.resume_from_revid is not None and self.output_parquet:
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if isinstance(self.output_file, str) and os.path.exists(self.output_file):
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original_output_file = self.output_file
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# For partitioned namespaces, create a temp directory; for single files, create a temp file path
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temp_output_file = self.output_file + ".resume_temp"
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# Remove temp file/dir if it exists from a previous failed run
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if os.path.exists(temp_output_file):
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import shutil
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if os.path.isdir(temp_output_file):
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shutil.rmtree(temp_output_file)
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else:
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os.remove(temp_output_file)
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# For partitioned namespaces, create the directory now; for single files it will be created by ParquetWriter
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if self.partition_namespaces:
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os.makedirs(temp_output_file, exist_ok=True)
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self.output_file = temp_output_file
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# Construct dump file iterator
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dump = WikiqIterator(self.input_file, collapse_user=self.collapse_user)
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reverts_column = tables.RevisionReverts()
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table = RevisionTable(
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[
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tables.RevisionId(),
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tables.RevisionTimestamp(),
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tables.RevisionArticleId(),
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tables.RevisionPageTitle(),
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tables.RevisionNamespace(),
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tables.RevisionDeleted(),
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tables.RevisionEditorId(),
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tables.RevisionEditSummary(),
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tables.RevisionTextChars(),
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reverts_column,
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tables.RevisionSha1(),
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tables.RevisionIsMinor(),
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tables.RevisionEditorText(),
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tables.RevisionIsAnon(),
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]
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)
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if self.text:
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table.columns.append(tables.RevisionText())
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if self.collapse_user:
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table.columns.append(tables.RevisionCollapsed())
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# Create shared parser if any wikitext feature is enabled
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if self.external_links or self.citations or self.wikilinks or self.templates or self.headings:
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wikitext_parser = WikitextParser()
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if self.external_links:
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table.columns.append(tables.RevisionExternalLinks(wikitext_parser))
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if self.citations:
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table.columns.append(tables.RevisionCitations(wikitext_parser))
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if self.wikilinks:
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table.columns.append(tables.RevisionWikilinks(wikitext_parser))
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if self.templates:
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table.columns.append(tables.RevisionTemplates(wikitext_parser))
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if self.headings:
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table.columns.append(tables.RevisionHeadings(wikitext_parser))
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# Add parser timeout tracking if any wikitext feature is enabled
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if self.external_links or self.citations or self.wikilinks or self.templates or self.headings:
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table.columns.append(tables.RevisionParserTimeout(wikitext_parser))
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# extract list of namespaces
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self.namespaces = {
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ns.name: ns.id for ns in dump.mwiterator.site_info.namespaces
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}
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page_count = 0
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rev_count = 0
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output_count = 0
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writer: Union[pq.ParquetWriter, pacsv.CSVWriter]
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schema = table.schema()
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schema = schema.append(pa.field("revert", pa.bool_(), nullable=True))
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if self.diff:
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from wikiq.diff_pyarrow_schema import diff_field
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schema = schema.append(diff_field)
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schema = schema.append(pa.field("diff_timeout", pa.bool_()))
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if self.diff and self.persist == PersistMethod.none:
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table.columns.append(tables.RevisionText())
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# Add regex fields to the schema.
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for pair in self.regex_revision_pairs:
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for field in pair.get_pyarrow_fields():
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schema = schema.append(field)
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for pair in self.regex_comment_pairs:
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for field in pair.get_pyarrow_fields():
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schema = schema.append(field)
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if self.persist != PersistMethod.none:
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table.columns.append(tables.RevisionText())
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schema = schema.append(pa.field("token_revs", pa.int64(), nullable=True))
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schema = schema.append(pa.field("tokens_added", pa.int64(), nullable=True))
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schema = schema.append(
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pa.field("tokens_removed", pa.int64(), nullable=True)
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)
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schema = schema.append(pa.field("tokens_window", pa.int64(), nullable=True))
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if self.output_parquet:
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pageid_sortingcol = pq.SortingColumn(schema.get_field_index("pageid"))
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revid_sortingcol = pq.SortingColumn(schema.get_field_index("pageid"))
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sorting_cols = [pageid_sortingcol, revid_sortingcol]
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if self.partition_namespaces is False:
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writer = pq.ParquetWriter(
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self.output_file,
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schema,
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flavor="spark",
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sorting_columns=sorting_cols,
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)
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else:
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output_path = Path(self.output_file)
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if self.namespace_filter is not None:
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namespaces = self.namespace_filter
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else:
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namespaces = self.namespaces.values()
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ns_paths = {
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ns: (output_path.parent / f"namespace={ns}") / output_path.name
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for ns in namespaces
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}
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for path in ns_paths.values():
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Path(path).parent.mkdir(exist_ok=True, parents=True)
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pq_writers = {
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ns: pq.ParquetWriter(
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path, schema, flavor="spark", sorting_columns=sorting_cols
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)
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for ns, path in ns_paths.items()
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}
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else:
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writer = pacsv.CSVWriter(
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self.output_file,
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schema,
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write_options=pacsv.WriteOptions(delimiter="\t"),
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)
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regex_matches = {}
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# Iterate through pages
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total_revs = 0
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for page in dump:
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# skip namespaces not in the filter
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if self.namespace_filter is not None:
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if page.mwpage.namespace not in self.namespace_filter:
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continue
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|
|
# Disable detecting reverts if radius is 0.
|
|
if self.revert_radius > 0:
|
|
reverts_column.rev_detector = mwreverts.Detector(
|
|
radius=self.revert_radius
|
|
)
|
|
else:
|
|
reverts_column.rev_detector = None
|
|
|
|
# Iterate through a page's revisions
|
|
batches = ichunked(page, self.batch_size)
|
|
last_rev_text = ""
|
|
last_rev_id = None
|
|
row_buffer = None
|
|
last_row_buffer = {}
|
|
on_last_batch = False
|
|
next_batch = {}
|
|
diff_dict = {}
|
|
|
|
if self.persist != PersistMethod.none:
|
|
window = deque(maxlen=PERSISTENCE_RADIUS)
|
|
if self.persist != PersistMethod.none:
|
|
if self.persist == PersistMethod.sequence:
|
|
persist_state = mwpersistence.DiffState(
|
|
SequenceMatcher(tokenizer=wikitext_split),
|
|
revert_radius=PERSISTENCE_RADIUS,
|
|
)
|
|
elif self.persist == PersistMethod.segment:
|
|
persist_state = mwpersistence.DiffState(
|
|
SegmentMatcher(tokenizer=wikitext_split),
|
|
revert_radius=PERSISTENCE_RADIUS,
|
|
)
|
|
elif self.persist == PersistMethod.wikidiff2:
|
|
wikidiff_matcher = WikiDiffMatcher(tokenizer=wikitext_split)
|
|
persist_state = mwpersistence.DiffState(
|
|
wikidiff_matcher, revert_radius=PERSISTENCE_RADIUS
|
|
)
|
|
else:
|
|
from mw.lib import persistence
|
|
|
|
persist_state = persistence.State()
|
|
|
|
if self.diff:
|
|
differ = pywikidiff2.pywikidiff2(
|
|
num_context_lines=1000000,
|
|
max_word_level_diff_complexity=-1,
|
|
moved_paragraph_detection_cutoff=-1,
|
|
words_cache_capacity=10000,
|
|
diff_cache_capacity=10000,
|
|
stats_cache_capacity=10000,
|
|
)
|
|
|
|
fast_differ = pywikidiff2.pywikidiff2(
|
|
num_context_lines=1000000,
|
|
max_word_level_diff_complexity=40000000,
|
|
moved_paragraph_detection_cutoff=100,
|
|
words_cache_capacity=-1,
|
|
diff_cache_capacity=-1,
|
|
stats_cache_capacity=-1,
|
|
)
|
|
|
|
|
|
while not on_last_batch:
|
|
# first loop: next_batch <- batch;
|
|
# second loop: next_batch <- batch; evaluate next_batch.
|
|
# final loop: on_last_batch <- true; evaluate next_batch
|
|
try:
|
|
batch = list(next(batches))
|
|
except StopIteration:
|
|
on_last_batch = True
|
|
|
|
if len(next_batch) == 0:
|
|
next_batch = batch
|
|
continue
|
|
else:
|
|
tmp_batch = next_batch
|
|
next_batch = batch
|
|
batch = tmp_batch
|
|
|
|
n_revs = 0
|
|
|
|
# If we're resuming and haven't found the resume point yet, check this batch
|
|
skip_batch = False
|
|
if not found_resume_point and self.resume_from_revid is not None:
|
|
batch_has_resume_point = False
|
|
for revs in batch:
|
|
revs_list = list(revs)
|
|
for rev in revs_list:
|
|
if rev.id == self.resume_from_revid:
|
|
batch_has_resume_point = True
|
|
found_resume_point = True
|
|
print(f"Found resume point at revid {self.resume_from_revid}", file=sys.stderr)
|
|
break
|
|
if batch_has_resume_point:
|
|
break
|
|
|
|
# If this batch doesn't contain the resume point, skip it entirely
|
|
if not batch_has_resume_point:
|
|
skip_batch = True
|
|
|
|
if skip_batch:
|
|
continue
|
|
|
|
for revs in batch:
|
|
# Revisions may or may not be grouped into lists of contiguous revisions by the
|
|
# same user. We call these "edit sessions". Otherwise revs is a list containing
|
|
# exactly one revision.
|
|
revs = list(revs)
|
|
revs = fix_hex_digests(revs)
|
|
# the problem is that we load all the revisions before we 'pop'
|
|
table.add(page.mwpage, revs)
|
|
|
|
# if re.match(r'^#redirect \[\[.*\]\]', rev.text, re.I):
|
|
# redirect = True
|
|
# else:
|
|
# redirect = False
|
|
|
|
# TODO missing: additions_size deletions_size
|
|
|
|
rev_count += 1
|
|
|
|
# Get the last revision in the edit session.
|
|
rev = revs[-1]
|
|
regex_dict = self.matchmake_revision(rev)
|
|
for k, v in regex_dict.items():
|
|
if regex_matches.get(k) is None:
|
|
regex_matches[k] = []
|
|
regex_matches[k].append(v)
|
|
|
|
# Collect the set of revisions currently buffered in the table so we can run multi-revision functions on them.
|
|
batch_row_buffer = table.pop()
|
|
if self.persist != PersistMethod.none:
|
|
# we have everything we need for these revs, which is everything we've seen up to the end of the persistence radius
|
|
row_buffer = {
|
|
k: last_row_buffer.get(k, [])
|
|
+ batch_row_buffer[k][
|
|
: (
|
|
-1 * (PERSISTENCE_RADIUS - 1)
|
|
if not on_last_batch
|
|
else None
|
|
)
|
|
]
|
|
for k in batch_row_buffer.keys()
|
|
}
|
|
|
|
# we'll use these to calc persistence for the row, buffer.
|
|
next_row_buffer = {
|
|
k: (
|
|
batch_row_buffer[k][-1 * (PERSISTENCE_RADIUS - 1) :]
|
|
if not on_last_batch
|
|
else []
|
|
)
|
|
for k in batch_row_buffer.keys()
|
|
}
|
|
|
|
if len(last_row_buffer) > 0:
|
|
diff_buffer = {
|
|
k: (row_buffer[k] + next_row_buffer[k])[
|
|
len(last_row_buffer["revid"]) :
|
|
]
|
|
for k in {"revid", "text"}
|
|
}
|
|
else:
|
|
diff_buffer = {
|
|
k: row_buffer[k] + next_row_buffer[k]
|
|
for k in {"revid", "text"}
|
|
}
|
|
|
|
else:
|
|
row_buffer = batch_row_buffer
|
|
|
|
is_revert_column: list[Union[bool, None]] = []
|
|
for r, d in zip(row_buffer["reverteds"], row_buffer["deleted"]):
|
|
if self.revert_radius == 0 or d:
|
|
is_revert_column.append(None)
|
|
else:
|
|
is_revert_column.append(r is not None)
|
|
|
|
row_buffer["revert"] = is_revert_column
|
|
|
|
for k, v in regex_matches.items():
|
|
row_buffer[k] = v
|
|
regex_matches = {}
|
|
|
|
# begin persistence logic
|
|
if self.persist != PersistMethod.none:
|
|
row_buffer["token_revs"] = []
|
|
row_buffer["tokens_added"] = []
|
|
row_buffer["tokens_removed"] = []
|
|
row_buffer["tokens_window"] = []
|
|
for idx, text in enumerate(diff_buffer["text"]):
|
|
rev_id = diff_buffer["revid"][idx]
|
|
if self.persist != PersistMethod.legacy:
|
|
_, tokens_added, tokens_removed = persist_state.update(
|
|
text, rev_id
|
|
)
|
|
else:
|
|
_, tokens_added, tokens_removed = persist_state.process(
|
|
text, rev_id
|
|
)
|
|
|
|
window.append((rev_id, tokens_added, tokens_removed))
|
|
|
|
if len(window) == PERSISTENCE_RADIUS:
|
|
(
|
|
old_rev_id,
|
|
old_tokens_added,
|
|
old_tokens_removed,
|
|
) = window.popleft()
|
|
num_token_revs, num_tokens = calculate_persistence(
|
|
old_tokens_added
|
|
)
|
|
|
|
row_buffer["token_revs"].append(num_token_revs)
|
|
row_buffer["tokens_added"].append(num_tokens)
|
|
row_buffer["tokens_removed"].append(len(old_tokens_removed))
|
|
row_buffer["tokens_window"].append(PERSISTENCE_RADIUS - 1)
|
|
|
|
if on_last_batch:
|
|
# this needs to run when we get to the end
|
|
# print out metadata for the last RADIUS revisions
|
|
for i, item in enumerate(window):
|
|
# if the window was full, we've already printed item 0
|
|
if len(window) == PERSISTENCE_RADIUS and i == 0:
|
|
continue
|
|
|
|
rev_id, tokens_added, tokens_removed = item
|
|
num_token_revs, num_tokens = calculate_persistence(
|
|
tokens_added
|
|
)
|
|
|
|
row_buffer["token_revs"].append(num_token_revs)
|
|
row_buffer["tokens_added"].append(num_tokens)
|
|
row_buffer["tokens_removed"].append(len(tokens_removed))
|
|
row_buffer["tokens_window"].append(len(window) - (i + 1))
|
|
|
|
last_row_buffer = next_row_buffer
|
|
|
|
# the persistence stuff doesn't calculate diffs for reverts.
|
|
if self.diff:
|
|
last_text = last_rev_text
|
|
new_diffs = []
|
|
diff_timeouts = []
|
|
for i, text in enumerate(row_buffer["text"]):
|
|
diff, timed_out = asyncio.run(diff_async(differ, last_text, text))
|
|
if timed_out:
|
|
print(f"WARNING! wikidiff2 timeout for rev: {row_buffer['revid'][i]}. Falling back to default limits.", file=sys.stderr)
|
|
diff = fast_differ.inline_json_diff(last_text, text)
|
|
new_diffs.append(diff)
|
|
diff_timeouts.append(timed_out)
|
|
last_text = text
|
|
row_buffer["diff"] = [
|
|
[
|
|
entry
|
|
for entry in json.loads(diff)["diff"]
|
|
if entry["type"] != 0
|
|
]
|
|
for diff in new_diffs
|
|
]
|
|
row_buffer["diff_timeout"] = diff_timeouts
|
|
|
|
# end persistence logic
|
|
if self.diff or self.persist != PersistMethod.none:
|
|
last_rev_text = row_buffer["text"][-1]
|
|
last_rev_id = row_buffer["revid"][-1]
|
|
|
|
if not self.text and self.persist != PersistMethod.none:
|
|
del row_buffer["text"]
|
|
|
|
# If we just found the resume point in this batch, filter to only write revisions after it
|
|
if self.resume_from_revid is not None:
|
|
revids = row_buffer["revid"]
|
|
# Find the index of the resume revid
|
|
resume_idx = None
|
|
for idx, revid in enumerate(revids):
|
|
if revid == self.resume_from_revid:
|
|
resume_idx = idx
|
|
break
|
|
|
|
if resume_idx is not None:
|
|
# Only write revisions after the resume point
|
|
if resume_idx + 1 < len(revids):
|
|
row_buffer = {k: v[resume_idx + 1:] for k, v in row_buffer.items()}
|
|
print(f"Resuming output starting at revid {row_buffer['revid'][0]}", file=sys.stderr)
|
|
else:
|
|
# The resume point was the last revision in this batch, skip writing
|
|
continue
|
|
|
|
# Only write if there are rows to write
|
|
if len(row_buffer.get("revid", [])) > 0:
|
|
if self.partition_namespaces is True:
|
|
writer = pq_writers[page.mwpage.namespace]
|
|
writer.write(pa.record_batch(row_buffer, schema=schema))
|
|
gc.collect()
|
|
page_count += 1
|
|
|
|
print(
|
|
"Done: %s revisions and %s pages." % (rev_count, page_count),
|
|
file=sys.stderr,
|
|
)
|
|
if self.partition_namespaces is True:
|
|
for writer in pq_writers.values():
|
|
writer.close()
|
|
else:
|
|
writer.close()
|
|
|
|
# If we were resuming, merge the original file with the new temp file
|
|
if original_output_file is not None and temp_output_file is not None:
|
|
print("Merging resumed data with existing output...", file=sys.stderr)
|
|
try:
|
|
# Check if we're merging partitioned namespaces or single files
|
|
if os.path.isdir(original_output_file):
|
|
# Merge partitioned namespace directories
|
|
self._merge_partitioned_namespaces(original_output_file, temp_output_file)
|
|
else:
|
|
# Merge single parquet files
|
|
merged_output_file = original_output_file + ".merged"
|
|
merge_parquet_files(original_output_file, temp_output_file, merged_output_file)
|
|
|
|
# Replace the original file with the merged file
|
|
os.remove(original_output_file)
|
|
os.rename(merged_output_file, original_output_file)
|
|
|
|
# Clean up the temp file/directory
|
|
if os.path.exists(temp_output_file):
|
|
if os.path.isdir(temp_output_file):
|
|
import shutil
|
|
shutil.rmtree(temp_output_file)
|
|
else:
|
|
os.remove(temp_output_file)
|
|
|
|
print("Merge complete.", file=sys.stderr)
|
|
except Exception as e:
|
|
print(f"Error merging resume data: {e}", file=sys.stderr)
|
|
print(f"New data saved in: {temp_output_file}", file=sys.stderr)
|
|
raise
|
|
|
|
def _merge_partitioned_namespaces(self, original_output_dir, temp_output_dir):
|
|
"""
|
|
Merge partitioned namespace directories.
|
|
For each namespace partition in the temp directory, merge its parquet files with the original.
|
|
"""
|
|
import shutil
|
|
|
|
# Get all namespace directories from temp
|
|
temp_namespace_dirs = [d for d in os.listdir(temp_output_dir) if d.startswith('namespace=')]
|
|
|
|
for ns_dir in temp_namespace_dirs:
|
|
temp_ns_path = os.path.join(temp_output_dir, ns_dir)
|
|
original_ns_path = os.path.join(original_output_dir, ns_dir)
|
|
|
|
# Find parquet files in the temp namespace directory
|
|
temp_parquet_files = [f for f in os.listdir(temp_ns_path) if f.endswith('.parquet')]
|
|
|
|
if not temp_parquet_files:
|
|
continue
|
|
|
|
temp_parquet_path = os.path.join(temp_ns_path, temp_parquet_files[0])
|
|
|
|
# Check if the namespace partition exists in the original directory
|
|
if os.path.exists(original_ns_path):
|
|
# Namespace partition exists, merge the files
|
|
original_parquet_files = [f for f in os.listdir(original_ns_path) if f.endswith('.parquet')]
|
|
|
|
if not original_parquet_files:
|
|
# No parquet file in original, just copy the temp file
|
|
shutil.copy(temp_parquet_path, os.path.join(original_ns_path, temp_parquet_files[0]))
|
|
else:
|
|
original_parquet_path = os.path.join(original_ns_path, original_parquet_files[0])
|
|
merged_parquet_path = original_parquet_path + ".merged"
|
|
|
|
# Merge the files
|
|
merge_parquet_files(original_parquet_path, temp_parquet_path, merged_parquet_path)
|
|
|
|
# Replace the original file with the merged file
|
|
os.remove(original_parquet_path)
|
|
os.rename(merged_parquet_path, original_parquet_path)
|
|
else:
|
|
# Namespace partition doesn't exist in original, create it
|
|
shutil.copytree(temp_ns_path, original_ns_path)
|
|
|
|
|
|
def match_archive_suffix(input_filename):
|
|
if re.match(r".*\.7z$", input_filename):
|
|
cmd = ["7za", "x", "-so", input_filename]
|
|
elif re.match(r".*\.gz$", input_filename):
|
|
cmd = ["zcat", input_filename]
|
|
elif re.match(r".*\.bz2$", input_filename):
|
|
cmd = ["bzcat", "-dk", input_filename]
|
|
else:
|
|
raise ValueError("Unrecognized file type: %s" % input_filename)
|
|
return cmd
|
|
|
|
|
|
def open_input_file(input_filename, fandom_2020=False):
|
|
cmd = match_archive_suffix(input_filename)
|
|
if fandom_2020:
|
|
cmd.append("*.xml")
|
|
try:
|
|
return Popen(cmd, stdout=PIPE).stdout
|
|
except NameError:
|
|
return open(input_filename, "r")
|
|
|
|
|
|
def get_output_filename(input_filename, parquet=False) -> str:
|
|
output_filename = re.sub(r"\.(7z|gz|bz2)?$", "", input_filename)
|
|
output_filename = re.sub(r"\.xml", "", output_filename)
|
|
if parquet is False:
|
|
output_filename = output_filename + ".tsv"
|
|
else:
|
|
output_filename = output_filename + ".parquet"
|
|
return output_filename
|
|
|
|
|
|
def open_output_file(input_filename):
|
|
# create a regex that creates the output filename
|
|
output_filename = get_output_filename(input_filename, parquet=False)
|
|
output_file = open(output_filename, "w")
|
|
return output_file
|
|
|
|
|
|
def merge_parquet_files(original_path, temp_path, merged_path):
|
|
"""
|
|
Merge two parquet files by copying all row groups from original and temp into merged.
|
|
"""
|
|
original_pq = pq.ParquetFile(original_path)
|
|
temp_pq = pq.ParquetFile(temp_path)
|
|
|
|
merged_writer = None
|
|
|
|
# Copy all row groups from the original file
|
|
for i in range(original_pq.num_row_groups):
|
|
row_group = original_pq.read_row_group(i)
|
|
if merged_writer is None:
|
|
merged_writer = pq.ParquetWriter(
|
|
merged_path,
|
|
row_group.schema,
|
|
flavor="spark"
|
|
)
|
|
merged_writer.write_table(row_group)
|
|
|
|
# Append all row groups from the temp file
|
|
for i in range(temp_pq.num_row_groups):
|
|
row_group = temp_pq.read_row_group(i)
|
|
merged_writer.write_table(row_group)
|
|
|
|
# Close the writer
|
|
if merged_writer is not None:
|
|
merged_writer.close()
|
|
|
|
|
|
def get_last_revid_from_parquet(output_file):
|
|
"""
|
|
Read the last revid from a parquet file or partitioned namespace directory.
|
|
Returns None if the file doesn't exist or is empty.
|
|
Handles both single files and partitioned namespace structures (namespace=*/file.parquet).
|
|
For partitioned namespaces, finds the most recently modified partition and reads from it.
|
|
"""
|
|
try:
|
|
if not os.path.exists(output_file):
|
|
return None
|
|
|
|
# Check if this is a partitioned namespace directory
|
|
if os.path.isdir(output_file):
|
|
# Find all namespace=* subdirectories
|
|
namespace_dirs = [d for d in os.listdir(output_file) if d.startswith('namespace=')]
|
|
|
|
if not namespace_dirs:
|
|
return None
|
|
|
|
# Find the most recently modified namespace partition
|
|
most_recent_ns = None
|
|
most_recent_mtime = -1
|
|
|
|
for ns_dir in namespace_dirs:
|
|
ns_path = os.path.join(output_file, ns_dir)
|
|
mtime = os.path.getmtime(ns_path)
|
|
if mtime > most_recent_mtime:
|
|
most_recent_mtime = mtime
|
|
most_recent_ns = ns_path
|
|
|
|
if most_recent_ns is None:
|
|
return None
|
|
|
|
# Find the parquet file in the most recent namespace directory
|
|
parquet_files = [f for f in os.listdir(most_recent_ns) if f.endswith('.parquet')]
|
|
|
|
if not parquet_files:
|
|
return None
|
|
|
|
parquet_path = os.path.join(most_recent_ns, parquet_files[0])
|
|
parquet_file = pq.ParquetFile(parquet_path)
|
|
|
|
if parquet_file.num_row_groups == 0:
|
|
return None
|
|
|
|
# Read only the last row group, and only the revid column
|
|
last_row_group = parquet_file.read_row_group(parquet_file.num_row_groups - 1, columns=['revid'])
|
|
|
|
if last_row_group.num_rows == 0:
|
|
return None
|
|
|
|
# Get the last revid from this row group
|
|
last_revid = last_row_group.column('revid')[-1].as_py()
|
|
return last_revid
|
|
else:
|
|
# Single parquet file
|
|
parquet_file = pq.ParquetFile(output_file)
|
|
|
|
if parquet_file.num_row_groups == 0:
|
|
return None
|
|
|
|
# Read only the last row group, and only the revid column
|
|
last_row_group = parquet_file.read_row_group(parquet_file.num_row_groups - 1, columns=['revid'])
|
|
|
|
if last_row_group.num_rows == 0:
|
|
return None
|
|
|
|
# Get the last revid from this row group
|
|
last_revid = last_row_group.column('revid')[-1].as_py()
|
|
return last_revid
|
|
except Exception as e:
|
|
print(f"Error reading last revid from {output_file}: {e}", file=sys.stderr)
|
|
return None
|
|
|
|
|
|
def main():
|
|
parser = argparse.ArgumentParser(
|
|
description="Parse MediaWiki XML database dumps into tab delimited data."
|
|
)
|
|
|
|
# arguments for the input direction
|
|
parser.add_argument(
|
|
"dumpfiles",
|
|
metavar="DUMPFILE",
|
|
nargs="*",
|
|
type=str,
|
|
help="Filename of the compressed or uncompressed XML database dump. If absent, we'll look for content on stdin and output on stdout.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-o",
|
|
"--output",
|
|
metavar="OUTPUT",
|
|
dest="output",
|
|
type=str,
|
|
nargs=1,
|
|
help="Directory for output files. If it ends with .parquet output will be in parquet format.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-s",
|
|
"--stdout",
|
|
dest="stdout",
|
|
action="store_true",
|
|
help="Write output to standard out (do not create dump file)",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"--collapse-user",
|
|
dest="collapse_user",
|
|
action="store_true",
|
|
help="Operate only on the final revision made by user a user within all sequences of consecutive edits made by a user. This can be useful for addressing issues with text persistence measures.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-p",
|
|
"--persistence",
|
|
dest="persist",
|
|
default=None,
|
|
const="",
|
|
type=str,
|
|
choices=["", "wikidiff2", "segment", "sequence", "legacy"],
|
|
nargs="?",
|
|
help="Compute and report measures of content persistent: (1) persistent token revisions, (2) tokens added, and (3) number of revision used in computing the first measure. This may by slow. The default is no persistence. -p=sequence, which uses the same algorithm as in the past, but with improvements to wikitext parsing. Use -p=legacy for old behavior used in older research projects. -p=segment attempts advanced persistence calculation method that is robust to content moves, but prone to bugs, and slower. -p=wikidiff2 is like segment, but uses the wikidiff2 algorithm, which (should be) faster and more robust.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-n",
|
|
"--namespace-include",
|
|
dest="namespace_filter",
|
|
type=int,
|
|
action="append",
|
|
help="Id number of namespace to include. Can be specified more than once.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-rr",
|
|
"--revert-radius",
|
|
dest="revert_radius",
|
|
type=int,
|
|
action="store",
|
|
default=15,
|
|
help="Number of edits to check when looking for reverts (default: 15)",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-RP",
|
|
"--revision-pattern",
|
|
dest="regex_match_revision",
|
|
default=None,
|
|
type=str,
|
|
action="append",
|
|
help="The regular expression to search for in revision text. The regex must be surrounded by quotes.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-RPl",
|
|
"--revision-pattern-label",
|
|
dest="regex_revision_label",
|
|
default=None,
|
|
type=str,
|
|
action="append",
|
|
help="The label for the outputted column based on matching the regex in revision text.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-CP",
|
|
"--comment-pattern",
|
|
dest="regex_match_comment",
|
|
default=None,
|
|
type=str,
|
|
action="append",
|
|
help="The regular expression to search for in comments of revisions.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-CPl",
|
|
"--comment-pattern-label",
|
|
dest="regex_comment_label",
|
|
default=None,
|
|
type=str,
|
|
action="append",
|
|
help="The label for the outputted column based on matching the regex in comments.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-d",
|
|
"--diff",
|
|
dest="diff",
|
|
default=False,
|
|
action="store_true",
|
|
help="Output a diff structure for each revision with information about changed or moved lines.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-t",
|
|
"--text",
|
|
dest="text",
|
|
default=False,
|
|
action="store_true",
|
|
help="Output the text of the revision.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"--external-links",
|
|
dest="external_links",
|
|
action="store_true",
|
|
default=False,
|
|
help="Extract external links from each revision using mwparserfromhell.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"--citations",
|
|
dest="citations",
|
|
action="store_true",
|
|
default=False,
|
|
help="Extract citations (ref tags and cite templates) from each revision.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"--wikilinks",
|
|
dest="wikilinks",
|
|
action="store_true",
|
|
default=False,
|
|
help="Extract internal wikilinks from each revision.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"--templates",
|
|
dest="templates",
|
|
action="store_true",
|
|
default=False,
|
|
help="Extract templates with their parameters from each revision.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"--headings",
|
|
dest="headings",
|
|
action="store_true",
|
|
default=False,
|
|
help="Extract section headings from each revision.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-PNS",
|
|
"--partition-namespaces",
|
|
dest="partition_namespaces",
|
|
default=False,
|
|
action="store_true",
|
|
help="Partition parquet files by namespace.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"--fandom-2020",
|
|
dest="fandom_2020",
|
|
action="store_true",
|
|
help="Whether the archive is from the fandom 2020 dumps by Wikiteam. These dumps can have multiple .xml files in their archives.",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"--batch-size",
|
|
dest="batch_size",
|
|
default=1500,
|
|
type=int,
|
|
help="How many revisions to process in each batch. This ends up being the Parquet row group size",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"--resume",
|
|
dest="resume",
|
|
action="store_true",
|
|
help="Resume processing from the last successfully written revision in the output file.",
|
|
)
|
|
|
|
args = parser.parse_args()
|
|
|
|
# set persistence method
|
|
|
|
if args.persist is None:
|
|
persist = PersistMethod.none
|
|
elif args.persist == "segment":
|
|
persist = PersistMethod.segment
|
|
elif args.persist == "legacy":
|
|
persist = PersistMethod.legacy
|
|
elif args.persist == "wikidiff2":
|
|
persist = PersistMethod.wikidiff2
|
|
else:
|
|
persist = PersistMethod.sequence
|
|
|
|
if args.namespace_filter is not None:
|
|
namespaces = args.namespace_filter
|
|
else:
|
|
namespaces = None
|
|
|
|
print(args, file=sys.stderr)
|
|
if len(args.dumpfiles) > 0:
|
|
for filename in args.dumpfiles:
|
|
input_file = open_input_file(filename, args.fandom_2020)
|
|
|
|
# open directory for output
|
|
if args.output:
|
|
output = args.output[0]
|
|
else:
|
|
output = "."
|
|
|
|
output_parquet = output.endswith(".parquet")
|
|
|
|
print("Processing file: %s" % filename, file=sys.stderr)
|
|
|
|
if args.stdout:
|
|
# Parquet libraries need a binary output, so just sys.stdout doesn't work.
|
|
output_file = sys.stdout.buffer
|
|
elif os.path.isdir(output) or output_parquet:
|
|
filename = os.path.join(output, os.path.basename(filename))
|
|
output_file = get_output_filename(filename, parquet=output_parquet)
|
|
else:
|
|
output_file = output
|
|
|
|
# Handle resume functionality
|
|
resume_from_revid = None
|
|
if args.resume:
|
|
if output_parquet and not args.stdout:
|
|
resume_from_revid = get_last_revid_from_parquet(output_file)
|
|
if resume_from_revid is not None:
|
|
print(f"Resuming from last written revid: {resume_from_revid}", file=sys.stderr)
|
|
else:
|
|
print("Resume requested but no existing output file found, starting from beginning", file=sys.stderr)
|
|
else:
|
|
print("Warning: --resume only works with parquet output (not stdout or TSV)", file=sys.stderr)
|
|
|
|
wikiq = WikiqParser(
|
|
input_file,
|
|
output_file,
|
|
collapse_user=args.collapse_user,
|
|
persist=persist,
|
|
namespaces=namespaces,
|
|
revert_radius=args.revert_radius,
|
|
regex_match_revision=args.regex_match_revision,
|
|
regex_revision_label=args.regex_revision_label,
|
|
regex_match_comment=args.regex_match_comment,
|
|
regex_comment_label=args.regex_comment_label,
|
|
text=args.text,
|
|
diff=args.diff,
|
|
output_parquet=output_parquet,
|
|
partition_namespaces=args.partition_namespaces,
|
|
batch_size=args.batch_size,
|
|
resume_from_revid=resume_from_revid,
|
|
external_links=args.external_links,
|
|
citations=args.citations,
|
|
wikilinks=args.wikilinks,
|
|
templates=args.templates,
|
|
headings=args.headings,
|
|
)
|
|
|
|
wikiq.process()
|
|
|
|
# close things
|
|
input_file.close()
|
|
|
|
else:
|
|
if args.resume:
|
|
print("Warning: --resume cannot be used with stdin/stdout", file=sys.stderr)
|
|
|
|
wikiq = WikiqParser(
|
|
sys.stdin,
|
|
sys.stdout,
|
|
collapse_user=args.collapse_user,
|
|
persist=persist,
|
|
# persist_legacy=args.persist_legacy,
|
|
namespaces=namespaces,
|
|
revert_radius=args.revert_radius,
|
|
regex_match_revision=args.regex_match_revision,
|
|
regex_revision_label=args.regex_revision_label,
|
|
regex_match_comment=args.regex_match_comment,
|
|
regex_comment_label=args.regex_comment_label,
|
|
diff=args.diff,
|
|
text=args.text,
|
|
batch_size=args.batch_size,
|
|
resume_from_revid=None,
|
|
external_links=args.external_links,
|
|
citations=args.citations,
|
|
wikilinks=args.wikilinks,
|
|
templates=args.templates,
|
|
headings=args.headings,
|
|
)
|
|
|
|
wikiq.process()
|
|
|
|
# stop_words = "a,able,about,across,after,all,almost,also,am,among,an,and,any,are,as,at,be,because,been,but,by,can,cannot,could,dear,did,do,does,either,else,ever,every,for,from,get,got,had,has,have,he,her,hers,him,his,how,however,i,if,in,into,is,it,its,just,least,let,like,likely,may,me,might,most,must,my,neither,no,nor,not,of,off,often,on,only,or,other,our,own,rather,said,say,says,she,should,since,so,some,than,that,the,their,them,then,there,these,they,this,tis,to,too,twas,us,wants,was,we,were,what,when,where,which,while,who,whom,why,will,with,would,yet,you,your"
|
|
# stop_words = stop_words.split(",")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|