mediawiki_dump_tools/wikiq

886 lines
34 KiB
Python
Executable File

#!/usr/bin/env python3
# original wikiq headers are: title articleid revid date_time anon
# editor editor_id minor text_size text_entropy text_md5 reversion
# additions_size deletions_size
import argparse
import sys
import os, os.path
import re
from datetime import datetime,timezone
import json
from subprocess import Popen, PIPE
from collections import deque
from hashlib import sha1
from mwxml import Dump
from deltas.tokenizers import wikitext_split
import mwpersistence
import mwreverts
from urllib.parse import quote
TO_ENCODE = ('title', 'editor')
PERSISTENCE_RADIUS=7
from deltas import SequenceMatcher
from deltas import SegmentMatcher
import dataclasses as dc
from dataclasses import dataclass
import pyarrow as pa
import pyarrow.parquet as pq
from itertools import chain
class PersistMethod:
none = 0
sequence = 1
segment = 2
legacy = 3
def calculate_persistence(tokens_added):
return(sum([(len(x.revisions)-1) for x in tokens_added]),
len(tokens_added))
class WikiqIterator():
def __init__(self, fh, collapse_user=False):
self.fh = fh
self.collapse_user = collapse_user
self.mwiterator = Dump.from_file(self.fh)
self.namespace_map = { ns.id : ns.name for ns in
self.mwiterator.site_info.namespaces }
self.__pages = self.load_pages()
def load_pages(self):
for page in self.mwiterator:
yield WikiqPage(page,
namespace_map = self.namespace_map,
collapse_user=self.collapse_user)
def __iter__(self):
return self.__pages
def __next__(self):
return next(self._pages)
class WikiqPage():
__slots__ = ('id', 'title', 'namespace', 'redirect',
'restrictions', 'mwpage', '__revisions',
'collapse_user')
def __init__(self, page, namespace_map, collapse_user=False):
self.id = page.id
self.namespace = page.namespace
# following mwxml, we assume namespace 0 in cases where
# page.namespace is inconsistent with namespace_map
if page.namespace not in namespace_map:
self.title = page.title
page.namespace = 0
if page.namespace != 0:
self.title = ':'.join([namespace_map[page.namespace], page.title])
else:
self.title = page.title
self.restrictions = page.restrictions
self.collapse_user = collapse_user
self.mwpage = page
self.__revisions = self.rev_list()
def rev_list(self):
# Outline for how we want to handle collapse_user=True
# iteration rev.user prev_rev.user add prev_rev?
# 0 A None Never
# 1 A A False
# 2 B A True
# 3 A B True
# 4 A A False
# Post-loop A Always
for i, rev in enumerate(self.mwpage):
# never yield the first time
if i == 0:
if self.collapse_user:
collapsed_revs = 1
rev.collapsed_revs = collapsed_revs
else:
if self.collapse_user:
# yield if this is the last edit in a seq by a user and reset
# also yield if we do know who the user is
if rev.deleted.user or prev_rev.deleted.user:
yield prev_rev
collapsed_revs = 1
rev.collapsed_revs = collapsed_revs
elif not rev.user.text == prev_rev.user.text:
yield prev_rev
collapsed_revs = 1
rev.collapsed_revs = collapsed_revs
# otherwise, add one to the counter
else:
collapsed_revs += 1
rev.collapsed_revs = collapsed_revs
# if collapse_user is false, we always yield
else:
yield prev_rev
prev_rev = rev
# also yield the final time
yield prev_rev
def __iter__(self):
return self.__revisions
def __next__(self):
return next(self.__revisions)
"""
A RegexPair is defined by a regular expression (pattern) and a label.
The pattern can include capture groups. If it does then each capture group will have a resulting column in the output.
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 = pattern
if type(self.pattern) is str:
self.pattern = re.compile(pattern)
self.label = label
self.has_groups = bool(self.pattern.groupindex)
if self.has_groups:
self.capture_groups = list(self.pattern.groupindex.keys())
def get_pyarrow_fields(self):
if self.has_groups:
fields = [pa.field(self._make_key(cap_group),pa.list_(pa.string()))
for cap_group in self.capture_groups]
else:
fields = [pa.field(self.label, pa.list_(pa.string()))]
return fields
def _make_key(self, cap_group):
return ("{}_{}".format(self.label, cap_group))
def matchmake(self, content, rev_data):
temp_dict = {}
# if there are named capture groups in the regex
if self.has_groups:
# if there are matches of some sort in this revision content, fill the lists for each cap_group
if self.pattern.search(content) is not None:
m = self.pattern.finditer(content)
matchobjects = list(m)
for cap_group in self.capture_groups:
key = self._make_key(cap_group)
temp_list = []
for match in matchobjects:
# we only want to add the match for the capture group if the match is not None
if match.group(cap_group) != None:
temp_list.append(match.group(cap_group))
# if temp_list of matches is empty just make that column None
if len(temp_list)==0:
temp_dict[key] = None
# else we put in the list we made in the for-loop above
else:
temp_dict[key] = ', '.join(temp_list)
# there are no matches at all in this revision content, we default values to None
else:
for cap_group in self.capture_groups:
key = self._make_key(cap_group)
temp_dict[key] = None
# there are no capture groups, we just search for all the matches of the regex
else:
#given that there are matches to be made
if type(content) in(str, bytes):
if self.pattern.search(content) is not None:
m = self.pattern.findall(content)
temp_dict[self.label] = m
else:
temp_dict[self.label] = None
# update rev_data with our new columns
for k, v in temp_dict.items():
setattr(rev_data, k, v)
return rev_data
"""
We used to use a dictionary to collect fields for the output.
Now we use dataclasses. Compared to a dictionary, this should help:
- prevent some bugs
- make it easier to output parquet data.
- use class attribute '.' syntax instead of dictionary syntax.
- improve support for tooling (autocomplete, type hints)
- use type information to define formatting rules
Depending on the parameters passed into Wikiq, the output schema can be different.
Therefore, we need to end up constructing a dataclass with the correct output schema.
It also needs to have the correct pyarrow schema so we can write parquet files.
The RevDataBase type has all the fields that will be output no matter how wikiq is invoked.
"""
@dataclass()
class RevDataBase():
revid: int
date_time: datetime
articleid: int
editorid: int
title: str
namespace: int
deleted: bool
text_chars: int = None
revert: bool = None
reverteds: list[int] = None
sha1: str = None
minor: bool = None
editor: str = None
anon: bool = None
# toggles url encoding. this isn't a dataclass field since it doesn't have a type annotation
urlencode = False
# defines pyarrow schema.
# each field in the data class needs an entry in this array.
# the names should match and be in the same order.
# this isn't a dataclass field since it doesn't have a type annotation
pa_schema_fields = [
pa.field("revid", pa.int64()),
pa.field("date_time", pa.timestamp('ms')),
pa.field("articleid",pa.int64()),
pa.field("editorid",pa.int64()),
pa.field("title",pa.string()),
pa.field("namespace",pa.int32()),
pa.field("deleted",pa.bool_()),
pa.field("text_chars",pa.int32()),
pa.field("revert",pa.bool_()),
pa.field("reverteds",pa.list_(pa.int64())),
pa.field("sha1",pa.string()),
pa.field("minor",pa.bool_()),
pa.field("editor",pa.string()),
pa.field("anon",pa.bool_()),
]
# pyarrow is a columnar format, so most of the work happens in the flush_parquet_buffer function
def to_pyarrow(self):
return dc.astuple(self)
# logic to convert each field into the wikiq tsv format goes here.
def to_tsv_row(self):
row = []
for f in dc.fields(self):
val = getattr(self, f.name)
if getattr(self, f.name) is None:
row.append("")
elif f.type == bool:
row.append("TRUE" if val else "FALSE")
elif f.type == datetime:
row.append(val.strftime('%Y-%m-%d %H:%M:%S'))
elif f.name in {'editor','title'}:
s = '"' + val + '"'
if self.urlencode and f.name in TO_ENCODE:
row.append(quote(str(s)))
else:
row.append(s)
elif f.type == list[int]:
row.append('"' + ",".join([str(x) for x in val]) + '"')
elif f.type == list[str]:
row.append('"' + ",".join([(x) for x in val]) + '"')
elif f.type == str:
if self.urlencode and f.name in TO_ENCODE:
row.append(quote(str(val)))
else:
row.append(val)
else:
row.append(val)
return '\t'.join(map(str,row))
def header_row(self):
return '\t'.join(map(lambda f: f.name, dc.fields(self)))
"""
If collapse=True we'll use a RevDataCollapse dataclass.
This class inherits from RevDataBase. This means that it has all the same fields and functions.
It just adds a new field and updates the pyarrow schema.
"""
@dataclass()
class RevDataCollapse(RevDataBase):
collapsed_revs:int = None
pa_collapsed_revs_schema = pa.field('collapsed_revs',pa.int64())
pa_schema_fields = RevDataBase.pa_schema_fields + [pa_collapsed_revs_schema]
"""
If persistence data is to be computed we'll need the fields added by RevDataPersistence.
"""
@dataclass()
class RevDataPersistence(RevDataBase):
token_revs:int = None
tokens_added:int = None
tokens_removed:int = None
tokens_window:int = None
pa_persistence_schema_fields = [
pa.field("token_revs", pa.int64()),
pa.field("tokens_added", pa.int64()),
pa.field("tokens_removed", pa.int64()),
pa.field("tokens_window", pa.int64())]
pa_schema_fields = RevDataBase.pa_schema_fields + pa_persistence_schema_fields
"""
class RevDataCollapsePersistence uses multiple inheritence to make a class that has both persistence and collapse fields.
"""
@dataclass()
class RevDataCollapsePersistence(RevDataCollapse, RevDataPersistence):
pa_schema_fields = RevDataCollapse.pa_schema_fields + RevDataPersistence.pa_persistence_schema_fields
class WikiqParser():
def __init__(self, input_file, output_file, regex_match_revision, regex_match_comment, regex_revision_label, regex_comment_label, collapse_user=False, persist=None, urlencode=False, namespaces = None, revert_radius=15, output_parquet=True, parquet_buffer_size=2000, siteinfo_file=None):
"""
Parameters:
persist : what persistence method to use. Takes a PersistMethod value
"""
self.input_file = input_file
self.collapse_user = collapse_user
self.persist = persist
self.namespaces = []
self.urlencode = urlencode
self.revert_radius = revert_radius
if namespaces is not None:
self.namespace_filter = set(namespaces)
else:
self.namespace_filter = None
self.regex_schemas = []
self.regex_revision_pairs = self.make_matchmake_pairs(regex_match_revision, regex_revision_label)
self.regex_comment_pairs = self.make_matchmake_pairs(regex_match_comment, regex_comment_label)
if siteinfo_file is not None:
siteinfo = open_siteinfo(siteinfo_file)
siteinfo = json.loads(siteinfo.read())
magicwords = siteinfo.get('query').get('magicwords')
if magicwords:
redirect_config = list(filter(lambda obj: obj.get("name") == "redirect", magicwords))
redirect_aliases = chain(* map(lambda obj: obj.get("aliases"), redirect_config))
redirect_aliases = list(map(lambda s: s.lstrip('#'), redirect_aliases))
redirect_aliases.append('REDIRECT') # just in case
# this regular expression is copied from pywikibot
pattern = '(?:' + '|'.join(redirect_aliases) + ')'
redirect_regex = re.compile(r'\s*#{pattern}\s*:?\s*\[\[(.+?)(?:\|.*?)?\]\]'
.format(pattern=pattern), re.IGNORECASE | re.DOTALL)
self.regex_revision_pairs.extend(self.make_matchmake_pairs([redirect_regex], ["redirect"]))
# This is where we set the type for revdata.
if self.collapse_user is True:
if self.persist == PersistMethod.none:
revdata_type = RevDataCollapse
else:
revdata_type = RevDataCollapsePersistence
elif self.persist != PersistMethod.none:
revdata_type = RevDataPersistence
else:
revdata_type = RevDataBase
# if there are regex fields, we need to add them to the revdata type.
regex_fields = [(field.name, list[str], dc.field(default=None)) for field in self.regex_schemas]
# make_dataclass is a function that defines a new dataclass type.
# here we extend the type we have already chosen and add the regular expression types
self.revdata_type = dc.make_dataclass('RevData_Parser',
fields=regex_fields,
bases=(revdata_type,))
# we also need to make sure that we have the right pyarrow schema
self.revdata_type.pa_schema_fields = revdata_type.pa_schema_fields + self.regex_schemas
self.revdata_type.urlencode = self.urlencode
self.schema = pa.schema(self.revdata_type.pa_schema_fields)
# here we initialize the variables we need for output.
if output_parquet is True:
self.output_parquet = True
self.pq_writer = None
self.output_file = output_file
self.parquet_buffer = []
self.parquet_buffer_size = parquet_buffer_size
else:
self.print_header = True
if output_file == sys.stdout:
self.output_file = output_file
else:
self.output_file = open(output_file,'w')
self.output_parquet = False
def make_matchmake_pairs(self, patterns, labels):
if (patterns is not None and labels is not None) and \
(len(patterns) == len(labels)):
result = []
for pattern, label in zip(patterns, labels):
rp = RegexPair(pattern, label)
result.append(rp)
self.regex_schemas = self.regex_schemas + rp.get_pyarrow_fields()
return result
elif (patterns is None and labels is None):
return []
else:
sys.exit('Each regular expression *must* come with a corresponding label and vice versa.')
def matchmake_revision(self, rev, rev_data):
rev_data = self.matchmake_text(rev.text, rev_data)
rev_data = self.matchmake_comment(rev.comment, rev_data)
return rev_data
def matchmake_text(self, text, rev_data):
return self.matchmake_pairs(text, rev_data, self.regex_revision_pairs)
def matchmake_comment(self, comment, rev_data):
return self.matchmake_pairs(comment, rev_data, self.regex_comment_pairs)
def matchmake_pairs(self, text, rev_data, pairs):
for pair in pairs:
rev_data = pair.matchmake(text, rev_data)
return rev_data
def __get_namespace_from_title(self, title):
default_ns = None
for ns in self.namespaces:
# skip if the namespace is not defined
if ns == None:
default_ns = self.namespaces[ns]
continue
if title.startswith(ns + ":"):
return self.namespaces[ns]
# if we've made it this far with no matches, we return the default namespace
return default_ns
def process(self):
# create a regex that creates the output filename
# output_filename = re.sub(r'^.*/(enwiki\-\d+)\-.*p(\d+)p.*$',
# r'output/wikiq-\1-\2.tsv',
# input_filename)
# Construct dump file iterator
dump = WikiqIterator(self.input_file, collapse_user=self.collapse_user)
# extract list of namspaces
self.namespaces = {ns.name : ns.id for ns in dump.mwiterator.site_info.namespaces}
page_count = 0
rev_count = 0
# Iterate through pages
for page in dump:
namespace = page.namespace if page.namespace is not None else self.__get_namespace_from_title(page.title)
# skip namespaces not in the filter
if self.namespace_filter is not None:
if namespace not in self.namespace_filter:
continue
rev_detector = mwreverts.Detector(radius = self.revert_radius)
if self.persist != PersistMethod.none:
window = deque(maxlen=PERSISTENCE_RADIUS)
if self.persist == PersistMethod.sequence:
state = mwpersistence.DiffState(SequenceMatcher(tokenizer = wikitext_split),
revert_radius=PERSISTENCE_RADIUS)
elif self.persist == PersistMethod.segment:
state = mwpersistence.DiffState(SegmentMatcher(tokenizer = wikitext_split),
revert_radius=PERSISTENCE_RADIUS)
# self.persist == PersistMethod.legacy
else:
from mw.lib import persistence
state = persistence.State()
# Iterate through a page's revisions
for rev in page:
# create a new data object instead of a dictionary.
rev_data = self.revdata_type(revid = rev.id,
date_time = datetime.fromtimestamp(rev.timestamp.unix(), tz=timezone.utc),
articleid = page.id,
editorid = "" if rev.deleted.user == True or rev.user.id is None else rev.user.id,
title = page.title,
deleted = rev.deleted.text,
namespace = namespace
)
rev_data = self.matchmake_revision(rev, rev_data)
if not rev.deleted.text:
# rev.text can be None if the page has no text
if not rev.text:
rev.text = ""
# if text exists, we'll check for a sha1 and generate one otherwise
if rev.sha1:
text_sha1 = rev.sha1
else:
text_sha1 = sha1(bytes(rev.text, "utf8")).hexdigest()
rev_data.sha1 = text_sha1
# TODO rev.bytes doesn't work.. looks like a bug
rev_data.text_chars = len(rev.text)
# generate revert data
revert = rev_detector.process(text_sha1, rev.id)
if revert:
rev_data.revert = True
rev_data.reverteds = revert.reverteds
else:
rev_data.revert = False
# if the fact that the edit was minor can be hidden, this might be an issue
rev_data.minor = rev.minor
if not rev.deleted.user:
# wrap user-defined editors in quotes for fread
rev_data.editor = rev.user.text
rev_data.anon = rev.user.id is None
#TODO missing: additions_size deletions_size
# if collapse user was on, lets run that
if self.collapse_user:
rev_data.collapsed_revs = rev.collapsed_revs
# get the
if self.persist != PersistMethod.none:
if not rev.deleted.text:
if self.persist != PersistMethod.legacy:
_, tokens_added, tokens_removed = state.update(rev.text, rev.id)
else:
_, tokens_added, tokens_removed = state.process(rev.text, rev.id, text_sha1)
window.append((rev.id, rev_data, tokens_added, tokens_removed))
if len(window) == PERSISTENCE_RADIUS:
old_rev_id, old_rev_data, old_tokens_added, old_tokens_removed = window[0]
num_token_revs, num_tokens = calculate_persistence(old_tokens_added)
old_rev_data.token_revs = num_token_revs
old_rev_data.tokens_added = num_tokens
old_rev_data.tokens_removed = len(old_tokens_removed)
old_rev_data.tokens_window = PERSISTENCE_RADIUS-1
self.print_rev_data(old_rev_data)
else:
self.print_rev_data(rev_data)
rev_count += 1
if self.persist != PersistMethod.none:
# 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, rev_data, tokens_added, tokens_removed = item
num_token_revs, num_tokens = calculate_persistence(tokens_added)
rev_data.token_revs = num_token_revs
rev_data.tokens_added = num_tokens
rev_data.tokens_removed = len(tokens_removed)
rev_data.tokens_window = len(window)-(i+1)
self.print_rev_data(rev_data)
page_count += 1
print("Done: %s revisions and %s pages." % (rev_count, page_count),
file=sys.stderr)
# remember to flush the parquet_buffer if we're done
if self.output_parquet is True:
self.flush_parquet_buffer()
self.pq_writer.close()
else:
self.output_file.close()
"""
For performance reasons it's better to write parquet in batches instead of one row at a time.
So this function just puts the data on a buffer. If the buffer is full, then it gets flushed (written).
"""
def write_parquet_row(self, rev_data):
padata = rev_data.to_pyarrow()
self.parquet_buffer.append(padata)
if len(self.parquet_buffer) >= self.parquet_buffer_size:
self.flush_parquet_buffer()
"""
Function that actually writes data to the parquet file.
It needs to transpose the data from row-by-row to column-by-column
"""
def flush_parquet_buffer(self):
"""
Returns the pyarrow table that we'll write
"""
def rows_to_table(rg, schema):
cols = []
first = rg[0]
for col in first:
cols.append([col])
for row in rg[1:]:
for j in range(len(cols)):
cols[j].append(row[j])
arrays = []
for col, typ in zip(cols, schema.types):
arrays.append(pa.array(col, typ))
return pa.Table.from_arrays(arrays, schema=schema)
outtable = rows_to_table(self.parquet_buffer, self.schema)
if self.pq_writer is None:
self.pq_writer = pq.ParquetWriter(self.output_file, self.schema, flavor='spark')
self.pq_writer.write_table(outtable)
self.parquet_buffer = []
# depending on if we are configured to write tsv or parquet, we'll call a different function.
def print_rev_data(self, rev_data):
if self.output_parquet is False:
printfunc = self.write_tsv_row
else:
printfunc = self.write_parquet_row
printfunc(rev_data)
def write_tsv_row(self, rev_data):
if self.print_header:
print(rev_data.header_row(), file=self.output_file)
self.print_header = False
line = rev_data.to_tsv_row()
print(line, file=self.output_file)
def open_siteinfo(siteinfo_file):
if re.match(r'.*\.7z$', siteinfo_file):
cmd = ["7za", "x", "-so", siteinfo_file, "*.json"]
elif re.match(r'.*\.gz$', siteinfo_file):
cmd = ["zcat", siteinfo_file]
elif re.match(r'.*\.bz2$', siteinfo_file):
cmd = ["bzcat", "-dk", siteinfo_file]
try:
input_file = Popen(cmd, stdout=PIPE).stdout
except NameError:
input_file = open(siteinfo_file, 'r')
return input_file
def open_input_file(input_filename):
if re.match(r'.*\.7z$', input_filename):
cmd = ["7za", "x", "-so", input_filename, "*.xml"]
elif re.match(r'.*\.gz$', input_filename):
cmd = ["zcat", input_filename]
elif re.match(r'.*\.bz2$', input_filename):
cmd = ["bzcat", "-dk", input_filename]
try:
input_file = Popen(cmd, stdout=PIPE).stdout
except NameError:
input_file = open(input_filename, 'r')
return input_file
def get_output_filename(input_filename, parquet = False):
output_filename = re.sub(r'\.(7z|gz|bz2)?$', '', 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
parser = argparse.ArgumentParser(description='Parse MediaWiki XML database dumps into tab delimitted 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-dir', metavar='DIR', dest='output_dir', 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 = ['','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 defualt is -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. Use -p=segment for advanced persistence calculation method that is robust to content moves, but prone to bugs, and slower.")
parser.add_argument('-u', '--url-encode', dest="urlencode", action="store_true",
help="Output url encoded text strings. This works around some data issues like newlines in editor names. In the future it may be used to output other text data.")
parser.add_argument('-n', '--namespace-include', dest="namespace_filter", type=int, action='append',
help="Id number of namspace 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('--SI', '--siteinfo', dest="siteinfo", default=None, type=str,
help="Path to archive containing siteinfo json. This is required for resolving redirects")
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
else:
persist = PersistMethod.sequence
if args.namespace_filter is not None:
namespaces = args.namespace_filter
else:
namespaces = None
if len(args.dumpfiles) > 0:
output_parquet = False
for filename in args.dumpfiles:
input_file = open_input_file(filename)
# open directory for output
if args.output_dir:
output_dir = args.output_dir[0]
else:
output_dir = "."
if output_dir.endswith(".parquet"):
output_parquet = True
print("Processing file: %s" % filename, file=sys.stderr)
if args.stdout:
output_file = sys.stdout
else:
filename = os.path.join(output_dir, os.path.basename(filename))
output_file = get_output_filename(filename, parquet = output_parquet)
print(args.siteinfo, file=sys.stderr)
wikiq = WikiqParser(input_file,
output_file,
collapse_user=args.collapse_user,
persist=persist,
urlencode=args.urlencode,
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,
output_parquet=output_parquet,
siteinfo_file = args.siteinfo)
wikiq.process()
# close things
input_file.close()
else:
wikiq = WikiqParser(sys.stdin,
sys.stdout,
collapse_user=args.collapse_user,
persist=persist,
#persist_legacy=args.persist_legacy,
urlencode=args.urlencode,
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,
siteinfo_file = args.siteinfo)
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(",")