#!/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 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 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 = 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] = ', '.join(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("test_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 == 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): """ 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) # 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 #if re.match(r'^#redirect \[\[.*\]\]', rev.text, re.I): # redirect = True #else: # redirect = False #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, 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_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.") 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) 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) 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) 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(",")