collective/mediawiki_dump_tools
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Merge branch 'tmp' into compute-diffs

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This commit is contained in:
Nathan TeBlunthuis 2025-06-30 20:52:23 -05:00
commit 20de5b93f9
6 changed files with 211 additions and 148 deletions
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3
.gitmodules vendored
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@ -0,0 +1,3 @@
[submodule "mediawiki-php-wikidiff2"]
path = mediawiki-php-wikidiff2
url = https://github.com/wikimedia/mediawiki-php-wikidiff2/

9
README.rst
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@ -20,6 +20,13 @@ associated tests to work.
- 7zip
- ffmpeg
A new diff engine based on `_wikidiff2` can be used for word-persistence. Wikiq can also output the diffs between each page revision. This requires installing Wikidiff 2 on your system. On Debian or Ubuntu Linux this can be done via.
``apt-get install php-wikidiff2``
You may have to also run.
``sudo phpenmod wikidiff2``.
Tests
----
To run tests::
@ -30,3 +37,5 @@ TODO:
_______________
1. [] Output metadata about the run. What parameters were used? What versions of deltas?
2. [] Url encoding by default
.. _wikidiff2: https://www.mediawiki.org/wiki/Wikidiff2

7
pyproject.toml
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@ -3,7 +3,7 @@ name = "mediawiki-dump-tools"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = "~=3.9"
requires-python = ">=3.9"
dependencies = [
"deltas>=0.7.0",
"mediawiki-utilities>=0.4.18",
@ -18,8 +18,11 @@ dependencies = [
[tool.uv.sources]
yamlconf = { git = "https://github.com/groceryheist/yamlconf" }
mwxml = { git = "https://github.com/groceryheist/python-mwxml" }
deltas = { git = "https://github.com/groceryheist/deltas" }
[dependency-groups]
dev = [
"pandas>=2.1.0"
"pandas>=2.1.0",
"pytest>=8.4.1",
"pytest-asyncio>=1.0.0",
]

321
wiki_diff_matcher.py
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@ -1,10 +1,14 @@
import json
import sys
from itertools import chain
from typing import Generator, List, Optional, Tuple
import requests
from deltas import tokenizers, RegexTokenizer, DiffEngine, Equal, Insert, Delete
from deltas import (Delete, DiffEngine, Equal, Insert, Operation,
RegexTokenizer, Token, tokenizers)
TOKENIZER = tokenizers.wikitext_split
TOKENIZER = tokenizers.text_split
def compute_diffs(url: str, texts: list[str]) -> list:
response = None
@ -14,7 +18,8 @@ def compute_diffs(url: str, texts: list[str]) -> list:
incremental_diffs = response.json()
except requests.exceptions.ConnectionError as e:
print(
f"Connection Error: Could not connect to the server at {url}. Make sure your local server is running.")
f"Connection Error: Could not connect to the server at {url}. Make sure your local server is running."
)
print(e)
raise e
except requests.exceptions.HTTPError as e:
@ -33,161 +38,206 @@ def compute_diffs(url: str, texts: list[str]) -> list:
print(f"An unexpected error occurred: {e}")
raise e
# for diff in incremental_diffs:
# for wikidiffop in json.loads(diff)["diff"][0:5]:
# print(wikidiffop)
return incremental_diffs
def to_operations(previous_text, next_text, diff, tokenizer: RegexTokenizer) -> list:
d = json.loads(diff)
class DiffToOperationMap:
# Keep track of the last difference we saw in order to notice unaccounted-for
# tokens. Each token at the end of "to" which is skipped for the next diff
# must be represented as an "Equal()" segment.
from_last_end = 0
to_last_end = 0
def __init__(self, from_text, to_text, diff, tokenizer):
result = []
# DiffState expects differences to be represented in order from the
self.diff = diff
self.tokenizer = tokenizer
self.diff = json.loads(diff)
# the code below is designed to work in bytes because that's how wikidiff2 indexes
self.from_bytes = from_text.encode("utf-8")
self.to_bytes = to_text.encode("utf-8")
self.from_last_end_bytes = 0
self.from_last_to_bytes = 0
self.n_from_start_tokens = 0
self.n_to_start_tokens = 0
self.last_to_start_line = 0
self.last_from_start_line = 0
self.from_last_end_bytes = 0
self.to_last_end_bytes = 0
def tokenize(self, bytes):
return self.tokenizer.tokenize(bytes.decode("utf-8"))
def to_operations(self):
parmove_from_dict = {} # lookup move diffs based on moveinfo id.
parmove_to_dict = {}
for entry in self.diff["diff"]:
offset = entry['offset']
linebytes = entry["text"].encode("utf-8")
# ignore empty diffs. They don't have any tokens
if len(linebytes) == 0:
continue
# this is the first byte of the line in the 'from' revision.
from_start_line = entry["offset"]["from"]
# this is the first byte of the line in the 'to' revision.
to_start_line = entry["offset"]["to"]
if entry["type"] == 0:
yield from self.doEqual(linebytes, offset)
# a line included in the 'to' revision, but not in the 'from' revision
elif entry["type"] == 1:
yield from self.doInsert(linebytes, offset)
# a line included in the 'from' revision, but not in the 'to' revision
elif entry["type"] == 2:
yield from self.doDelete(linebytes, offset)
elif entry["type"] == 3:
yield from self.doHighlightRange(linebytes, entry['highlightRanges'], offset)
elif entry["type"] == 4:
parmove_from_dict["moveInfo"]["id"] = diff
elif entry["type"] == 5:
# for type 4 diffs (paragraph moved in the from revision) we need to find a matching type 5 diff.
parmove_to_dict["moveInfo"]["id"] = diff
# for deletions and equality report the token indexes from the 'from' revision.
else:
# The 'type' isn't one of the known
raise ValueError(d)
# mwpersistence expects differences to be represented in order from the
# result's perspective ("to"), not the previous text. Thus, if a line
# is moved earlier then its insertion should appear before its deletion.
# As a rule of thumb, the "to" segments should be non-overlapping and
# strictly increasing, while the "from" segments should merely be
# non-overlapping.
#
# wikidiff2 appears to follow this same convention, but this behavior
# is not documented.
for entry in d['diff']:
from_start_line = entry['offset']['from']
to_start_line = entry['offset']['to']
# Per above, to_start_line appears to be nondecreasing, but
# from_start_line may sometimes decrease for detected paragraph moves.
from_start_tokens = len(tokenizer.tokenize(previous_text[:from_start_line]))
to_start_tokens = len(tokenizer.tokenize(next_text[:to_start_line]))
# These constant calls to tokenizer.tokenize can definitely be optimized
# as tokenization is currently a bottleneck. Ideally tokenization would
# happen incrementally where possible, or somehow be cached, but this
# would be more complex.
if entry['type'] == 0:
# wikidiff2 doesn't appear to emit diffs of this type, but cover anyway.
line_tokens = len(tokenizer.tokenize(entry['text']))
from_end_tokens = from_start_tokens + line_tokens
to_end_tokens = to_start_tokens + line_tokens
result.append(Equal(from_start_tokens, from_end_tokens,
to_start_tokens, to_end_tokens))
from_last_end = from_end_tokens
to_last_end = to_end_tokens
continue
else:
# These do not appear to be generated by wikidiff2, and so must be
# inferred.
equal_tokens = to_start_tokens - to_last_end
# If we notice that the next non-zero segment (which must be a
# change, given that its type is non-zero), begins after the end
# of the previous segment, we must add an Equal segment.
# TODO: While the "to" token ranges are correct, the "from"
# ranges are likely not, particularly in histories with paragraph
# moves.
if equal_tokens > 0:
result.append(Equal(from_last_end, from_start_line,
to_last_end, to_start_line))
# now we go through the parmoves
for id, from_diff in parmove_from_dict.items():
to_diff = parmove_from_dict[from_diff["moveInfo"]["linkId"]]
if entry['type'] == 1 or entry['type'] == 4:
# TODO: Separate out type 4 to recognize this is the insertion
# part of a paragraph move. Note that for paragraph moves
# the text is not necessarily identical, just similar.
line_tokens = len(tokenizer.tokenize(entry['text']))
to_end_tokens = to_start_tokens + line_tokens
def doEqual(self, equal_bytes, offset):
tokens = self.tokenize(equal_bytes)
n_tokens = len(tokens)
self.n_from_end_tokens = self.n_from_start_tokens + n_tokens
self.n_to_end_tokens = self.n_to_start_tokens + n_tokens
yield (
Equal(
self.n_from_start_tokens,
self.n_from_end_tokens,
self.n_to_start_tokens,
self.n_to_end_tokens,
),
tokens,
tokens,
)
# we need to keep track of the to and from last end bytes
self.from_last_end_bytes = offset["from"] + len(equal_bytes)
self.to_last_end_bytes = offset["to"] + len(equal_bytes)
self.n_from_start_tokens += n_tokens
self.n_to_start_tokens += n_tokens
result.append(Insert(from_start_tokens, from_start_tokens,
to_start_tokens, to_end_tokens,
))
def doInsert(self, insert_bytes, offset):
tokens = self.tokenize(insert_bytes)
n_tokens = len(tokens)
self.n_to_end_tokens = self.n_to_start_tokens + n_tokens
yield (
Insert(
self.n_from_start_tokens,
self.n_from_start_tokens,
self.n_to_start_tokens,
self.n_to_end_tokens,
),
[],
tokens,
)
# We have now used more of the "to" tokens.
to_last_end = to_end_tokens
elif entry['type'] == 2 or entry['type'] == 5:
# TODO: Separate out type 5 to recognize this is the deletion
# part of a paragraph move. Note that for paragraph moves
# the text is not necessarily identical, just similar.
line_tokens = len(tokenizer.tokenize(entry['text']))
from_end_tokens = from_start_tokens + line_tokens
self.n_to_start_tokens += n_tokens
self.to_last_end_bytes = offset["to"] + len(insert_bytes)
result.append(Delete(from_start_tokens, from_end_tokens,
to_start_tokens, to_start_tokens,
))
def doDelete(self, delete_bytes, offset):
tokens = self.tokenize(delete_bytes)
n_tokens = len(tokens)
self.n_from_end_tokens = self.n_from_start_tokens + n_tokens
yield (
Delete(
self.n_from_start_tokens,
self.n_from_end_tokens,
self.n_to_start_tokens,
self.n_to_start_tokens,
),
tokens,
[],
)
# We have now used more of the "from" tokens.
self.n_from_start_tokens += n_tokens
self.from_last_end_bytes = offset["from"] + len(delete_bytes)
# We have not used more of the "from" tokens.
from_last_end = from_end_tokens
elif entry['type'] == 3:
# The text field is an overlapping mix of both the previous and next
# lines, and so we can't directly tokenize it.
text = entry['text']
last_end = 0
previous_line = ""
next_line = ""
# A line will have one or more highlightRanges.
# It is not guaranteed that insertions/deletions are matched,
def doHighlightRange(self, highlight_bytes, highlightRanges, offset):
# The text field is an overlapping mix of both the from and to,
# so we need to handle it highlight-by-highlight.
# there can be gaps between highlight segments.
# for instance, if a word is deleted from the middle of a line.
for highlightRange in entry['highlightRanges']:
if highlightRange['start'] > last_end:
previous_line += text[last_end:highlightRange['start']]
next_line += text[last_end:highlightRange['start']]
# Add an Equal segment.
# we need to track that.
highlight_end = 0
highlight_offset = offset
# note that diffs are token-level, but the indexes are byte-level
rangeStart = highlightRange['start']
rangeEnd = rangeStart + highlightRange['length']
for highlightRange in highlightRanges:
highlight_start = highlightRange["start"]
# equal bytes in between highlights
if highlight_start > highlight_end:
if highlightRange['type'] == 0:
# Insertion
next_line += text[rangeStart:rangeEnd]
equal_bytes = highlight_bytes[
highlight_end : highlight_start
]
n_equal_bytes = len(equal_bytes)
yield from self.doEqual(equal_bytes, highlight_offset)
highlight_offset['from'] += n_equal_bytes
highlight_offset['to'] += n_equal_bytes
# Add an Insert segment.
elif highlightRange['type'] == 1:
# Deletion
previous_line += text[rangeStart:rangeEnd]
# Add a Delete segment.
# handle highlighted insert / delete
highlight_end = highlight_start + highlightRange["length"]
range_bytes = highlight_bytes[highlight_start:highlight_end]
n_range_bytes = len(range_bytes)
if highlightRange["type"] == 0:
yield from self.doInsert(range_bytes, highlight_offset)
highlight_offset['to'] += n_range_bytes
elif highlightRange["type"] == 1:
yield from self.doDelete(range_bytes, highlight_offset)
highlight_offset['from'] += n_range_bytes
else:
raise Exception(entry)
from_tokens = len(tokenizer.tokenize(previous_line))
to_tokens = len(tokenizer.tokenize(next_line))
# handle the rest of the line which is equal
if highlight_end < len(highlight_bytes):
range_bytes = highlight_bytes[highlight_end:]
yield from self.doEqual(range_bytes, highlight_offset)
from_start_tokens += from_tokens
to_start_tokens += to_tokens
else:
# The 'type' isn't one of the known
raise ValueError(d)
# TODO: Handle trailing tokens
# raise Exception(result)
return result
class WikiDiffMatcher:
def __init__(self,
url: str,
texts: list[str],
tokenizer: RegexTokenizer = None,
def __init__(
self,
texts: list[str] = None,
tokenizer: Optional[RegexTokenizer] = None,
url: Optional[str] = "http://127.0.0.1:8000",
):
# Pre-compute diffs to reduce traffic overhead.
self.diffs = compute_diffs(url, texts)
self.tokenizer = tokenizer or TOKENIZER
class Processor(DiffEngine.Processor):
def __init__(self,
diffs,
tokenizer=None
):
self.diffs = iter(diffs)
def __init__(self, texts, tokenizer=None):
self.diffs = iter(texts)
self.tokenizer = tokenizer or TOKENIZER
self.last_tokens = []
self.previous_text = ""
@ -196,28 +246,27 @@ class WikiDiffMatcher:
self.last_tokens = last_tokens
def process(self, text, token_class=None):
# IDEs will report the method signature as incorrect, but this is
# expected. The DiffEngine.Processor class must be inherited from,
# and its process definition incorrectly excludes a "self" argument.
# The diff has already been computed, but we need to incrementally
# retrieve it to recreate the behavior DiffState expects.
diff = next(self.diffs)
diffToOperationsMapper = DiffToOperationMap(self.previous_text, text, diff, self.tokenizer)
(
operations,
aseq,
bseq,
) = list(
zip(*diffToOperationsMapper.to_operations())
)
tokens = self.tokenizer.tokenize(text, token_class=token_class)
operations = to_operations(self.previous_text, text, diff, self.tokenizer)
a = self.last_tokens
b = tokens
self.last_tokens = tokens
self.last_tokens = list(chain.from_iterable(aseq))
tokens = list(chain.from_iterable(bseq))
self.previous_text = text
return operations, a, b
return operations, self.last_tokens, tokens
def processor(self, *args, **kwargs):
return self.Processor(self.diffs, self.tokenizer)
def process(self):
# DiffState checks for this method even though it is not called.
raise Exception("Unnecessary implementation")

2
index.php → wikidiff2_api.php
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@ -17,7 +17,7 @@ $data = json_decode($rawData, true);
$previous = '';
$result = [];
foreach ($data as $i => $value) {
$result[] = wikidiff2_inline_json_diff($previous, $value, 0);
$result[] = wikidiff2_inline_json_diff($previous, $value, 5000000);
$previous = $value;
}

9
wikiq
View File

@ -140,7 +140,6 @@ The pattern can include capture groups. If it does then each capture group will
If the pattern does not include a capture group, then only one output column will result.
"""
class RegexPair(object):
def __init__(self, pattern, label):
self.pattern = re.compile(pattern)
@ -219,7 +218,7 @@ class WikiqParser:
revert_radius: int = 15,
output_parquet: bool = True,
parquet_buffer_size: int = 2000,
wikidiff_url: str = "",
wikidiff_url: str = "http://127.0.0.1:8000",
):
"""
@ -450,9 +449,9 @@ class WikiqParser:
state = mwpersistence.DiffState(SegmentMatcher(tokenizer=wikitext_split),
revert_radius=PERSISTENCE_RADIUS)
elif self.persist == PersistMethod.wikidiff:
state = mwpersistence.DiffState(WikiDiffMatcher(self.wikidiff_url,
revision_texts,
tokenizer=wikitext_split),
state = mwpersistence.DiffState(WikiDiffMatcher(revision_texts,
tokenizer=wikitext_split,
self.wikidiff_url),
revert_radius=PERSISTENCE_RADIUS)
else:
from mw.lib import persistence