return(sum([(len(x.revisions)-1) for x in tokens_added]),
len(tokens_added))
-def matchmaker(rev_data, regular_expression, scanner, rev): #rev_data,self.regex,self.scanner, rev
- for location in scanner: #presumably 'comment' 'text' 'comment text' made into a list by args
- if location == "comment":
- matching_string = rev.comment
- elif location == "text":
- matching_string = rev.text
- else:
- sys.exit("regex scanner location must be 'comment' or 'text'.")
-
- if (re.search(regular_expression, matching_string) is not None): # we know that there is a match somewhere
- m = re.finditer(regular_expression, matching_string) # all our matchObjects in a list
- blob=""
- for result in m:
- blob = blob + "," + result.group(0)
- # columns we want
- rev_data['matches'] = blob #### the list of matchObjects. gleaned in post-processing
- else:
- rev_data['matches'] = None
-
- return rev_data
-
-
class WikiqIterator():
def __init__(self, fh, collapse_user=False):
def __next__(self):
return next(self.__revisions)
+
+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 _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:
+ # initialize the {capture_group_name:list} for each capture group
+ # 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 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
+ rev_data.update(temp_dict)
+ return rev_data
+
+
+
class WikiqParser():
-
- def __init__(self, input_file, output_file, scanner, match_regex, collapse_user=False, persist=None, urlencode=False, namespaces = None):
+ 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):
"""
Parameters:
persist : what persistence method to use. Takes a PersistMethod value
"""
-
self.input_file = input_file
self.output_file = output_file
self.collapse_user = collapse_user
self.printed_header = False
self.namespaces = []
self.urlencode = urlencode
- self.scanner = scanner
- self.match_regex = match_regex
+ self.revert_radius = revert_radius
if namespaces is not None:
self.namespace_filter = set(namespaces)
else:
self.namespace_filter = None
+ 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)
+
+
+ def make_matchmake_pairs(self, patterns, labels):
+ if (patterns is not None and labels is not None) and \
+ (len(patterns) == len(labels)):
+ return [RegexPair(pattern, label) for pattern, label in zip(patterns, labels)]
+ 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(self, rev, rev_data):
+ rev_data = self.matchmake_revision(rev.text, rev_data)
+ rev_data = self.matchmake_comment(rev.comment, rev_data)
+ return rev_data
+
+ def matchmake_revision(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
if namespace not in self.namespace_filter:
continue
- rev_detector = mwreverts.Detector()
+ rev_detector = mwreverts.Detector(radius = self.revert_radius)
if self.persist != PersistMethod.none:
window = deque(maxlen=PERSISTENCE_RADIUS)
# Iterate through a page's revisions
for rev in page:
- ## m = re.finditer() #so we can find all instances
- ## m.groupdict() #so we can look at them all with their names
-
- # initialize rev_dat
- rev_data = {}
-
- if self.scanner is not None: # we know we want to do a regex search
- ## comment = want to look in comment attached to revision
- ## text = want to look in revision text
-
- ### call the scanner function
- rev_data = matchmaker(rev_data, self.match_regex, self.scanner, rev)
-
- if self.scanner is not None and rev_data['matches'] is None:
- next
-
- # we fill out the rest of the data structure now
- rev_data['revid'] = rev.id
- rev_data['date_time'] = rev.timestamp.strftime('%Y-%m-%d %H:%M:%S')
- rev_data['articleid'] = page.id
- rev_data['editor_id'] = "" if rev.deleted.user == True or rev.user.id is None else rev.user.id
- rev_data['title'] = '"' + page.title + '"'
- rev_data['namespace'] = namespace
- rev_data['deleted'] = "TRUE" if rev.deleted.text else "FALSE"
+
+ # initialize rev_data
+ rev_data = {
+ 'revid':rev.id,
+ 'date_time' : rev.timestamp.strftime('%Y-%m-%d %H:%M:%S'),
+ 'articleid' : page.id,
+ 'editor_id' : "" if rev.deleted.user == True or rev.user.id is None else rev.user.id,
+ 'title' : '"' + page.title + '"',
+ 'namespace' : namespace,
+ 'deleted' : "TRUE" if rev.deleted.text else "FALSE"
+ }
+
+ rev_data = self.matchmake(rev, rev_data)
# if revisions are deleted, /many/ things will be missing
if rev.deleted.text:
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="", const='', type=str, choices = ['','segment','sequence','legacy'], nargs='?',
+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",
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('-rs', '--regex-scanner', dest="scanner",type=str, action='append',
- help="Find the regex match specified by -R/--match searching in: (1) comment (2) text.")
+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('-R', '--match', dest="match_regex", type=str,
- help="The regular expression you would like to find in the string and put in capture group")
+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()
filename = os.path.join(output_dir, os.path.basename(filename))
output_file = open_output_file(filename)
- wikiq = WikiqParser(input_file, output_file,
+ wikiq = WikiqParser(input_file,
+ output_file,
collapse_user=args.collapse_user,
persist=persist,
urlencode=args.urlencode,
- namespaces = namespaces,
- match_regex=args.match_regex, # adding in the new 2 args for regex searching
- scanner=args.scanner)
+ 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()
input_file.close()
output_file.close()
else:
- wikiq = WikiqParser(sys.stdin, sys.stdout,
+ wikiq = WikiqParser(sys.stdin,
+ sys.stdout,
collapse_user=args.collapse_user,
persist=persist,
#persist_legacy=args.persist_legacy,
urlencode=args.urlencode,
- namespaces = namespaces,
- match_regex=args.match_regex, # adding in the new 2 args for regex searching
- scanner=args.scanner)
- wikiq.process()
+ 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(",")
projects / mediawiki_dump_tools.git / blobdiff