# 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 pdb
+
import argparse
import sys
import os, os.path
class WikiqParser():
- def __init__(self, input_file, output_file, collapse_user=False, persist=None, urlencode=False, namespaces = None):
+ def __init__(self, input_file, output_file, collapse_user=False, persist=None, urlencode=False, namespaces = None, revert_radius=15):
"""
Parameters:
persist : what persistence method to use. Takes a PersistMethod value
self.printed_header = False
self.namespaces = []
self.urlencode = urlencode
+ self.revert_radius = revert_radius
if namespaces is not None:
self.namespace_filter = set(namespaces)
else:
# skip namespaces not in the filter
if self.namespace_filter is not None:
- if namespace in self.namespace_filter:
+ if namespace not in self.namespace_filter:
continue
- rev_detector = mwreverts.Detector()
+ print(self.revert_radius)
+ rev_detector = mwreverts.Detector(radius = self.revert_radius)
+
if self.persist != PersistMethod.none:
window = deque(maxlen=PERSISTENCE_RADIUS)
from mw.lib import persistence
state = persistence.State()
-
-
# Iterate through a page's revisions
for rev in page:
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. Use -p=segment for advanced persistence calculation method that is robust to content moves. This might be very slow. Use -p=legacy for legacy behavior.")
+ 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.")
+ 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)")
+
args = parser.parse_args()
persist = PersistMethod.sequence
if args.namespace_filter is not None:
- namespaces = [int(ns) for ns in args.namespace_filter.split(',')]
+ namespaces = args.namespace_filter
else:
namespaces = None
filename = os.path.join(output_dir, os.path.basename(filename))
output_file = open_output_file(filename)
- wikiq = WikiqParser(input_file, output_file,
- collapse_user=args.collapse_user,
- persist=persist,
- urlencode=args.urlencode,
- namespaces = namespaces)
-
+ wikiq = WikiqParser(input_file,
+ output_file,
+ collapse_user=args.collapse_user,
+ persist=persist,
+ urlencode=args.urlencode,
+ namespaces=namespaces,
+ revert_radius=args.revert_radius)
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)
+ urlencode=args.urlencode,
+ namespaces=namespaces,
+ revert_radius=args.revert_radius)
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"
projects / mediawiki_dump_tools.git / blobdiff