[48bfd0]: scripts / trac_export.py Maximize Restore History

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trac_export.py    253 lines (221 with data), 9.2 kB

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import sys
from pprint import pprint
import csv
import urlparse
import urllib2
import json
import time
import re
from optparse import OptionParser
from itertools import islice
from datetime import datetime
import feedparser
from html2text import html2text
from BeautifulSoup import BeautifulSoup, NavigableString
import dateutil.parser
import pytz
def parse_options():
optparser = OptionParser(usage=''' %prog <Trac URL>
Export ticket data from a Trac instance''')
optparser.add_option('-o', '--out-file', dest='out_filename', help='Write to file (default stdout)')
optparser.add_option('--no-attachments', dest='do_attachments', action='store_false', default=True, help='Export attachment info')
optparser.add_option('--only-tickets', dest='only_tickets', action='store_true', help='Export only ticket list')
optparser.add_option('--start', dest='start_id', type='int', default=1, help='Start with given ticket numer (or next accessible)')
optparser.add_option('--limit', dest='limit', type='int', default=None, help='Limit number of tickets')
optparser.add_option('-v', '--verbose', dest='verbose', action='store_true', help='Verbose operation')
options, args = optparser.parse_args()
if len(args) != 1:
optparser.error("Wrong number of arguments.")
return options, args
class TracExport(object):
PAGE_SIZE = 100
TICKET_URL = 'ticket/%d'
QUERY_MAX_ID_URL = 'query?col=id&order=id&desc=1&max=2'
QUERY_BY_PAGE_URL = 'query?col=id&col=time&col=changetime&order=id&max=' + str(PAGE_SIZE)+ '&page=%d'
ATTACHMENT_LIST_URL = 'attachment/ticket/%d/'
ATTACHMENT_URL = 'raw-attachment/ticket/%d/%s'
FIELD_MAP = {
'reporter': 'submitter',
'owner': 'assigned_to',
}
def __init__(self, base_url, start_id=1):
"""start_id - start with at least that ticket number (actual returned
ticket may have higher id if we don't have access to exact
one).
"""
self.base_url = base_url
# Contains additional info for a ticket which cannot
# be get with single-ticket export (create/mod times is
# and example).
self.ticket_map = {}
self.ticket_queue = []
self.start_id = start_id
self.page = (start_id - 1) / self.PAGE_SIZE + 1
def remap_fields(self, dict):
"Remap fields to adhere to standard taxonomy."
out = {}
for k, v in dict.iteritems():
out[self.FIELD_MAP.get(k, k)] = v
out['id'] = int(out['id'])
if 'private' in out:
out['private'] = bool(int(out['private']))
return out
def full_url(self, suburl, type=None):
url = urlparse.urljoin(self.base_url, suburl)
if type is None:
return url
glue = '&' if '?' in suburl else '?'
return url + glue + 'format=' + type
@staticmethod
def log_url(url):
if options.verbose:
print >>sys.stderr, url
@classmethod
def trac2z_date(cls, s):
d = dateutil.parser.parse(s)
d = d.astimezone(pytz.UTC)
return d.strftime("%Y-%m-%dT%H:%M:%SZ")
@staticmethod
def match_pattern(regexp, string):
m = re.match(regexp, string)
assert m
return m.group(1)
def csvopen(self, url):
self.log_url(url)
f = urllib2.urlopen(url)
# Trac doesn't throw 403 error, just shows normal 200 HTML page
# telling that access denied. So, we'll emulate 403 ourselves.
# TODO: currently, any non-csv result treated as 403.
if not f.info()['Content-Type'].startswith('text/csv'):
raise urllib2.HTTPError(url, 403, 'Forbidden - emulated', f.info(), f)
return f
def parse_ticket_body(self, id):
# Use CSV export to get ticket fields
url = self.full_url(self.TICKET_URL % id, 'csv')
f = self.csvopen(url)
reader = csv.DictReader(f)
ticket_fields = reader.next()
ticket_fields['class'] = 'ARTIFACT'
return self.remap_fields(ticket_fields)
def parse_ticket_comments(self, id):
# Use RSS export to get ticket comments
url = self.full_url(self.TICKET_URL % id, 'rss')
self.log_url(url)
d = feedparser.parse(url)
res = []
for comment in d['entries']:
c = {}
c['submitter'] = comment.author
c['date'] = comment.updated_parsed
c['comment'] = html2text(comment.summary)
c['class'] = 'COMMENT'
res.append(c)
return res
def parse_ticket_attachments(self, id):
SIZE_PATTERN = r'(\d+) bytes'
TIMESTAMP_PATTERN = r'(.+) in Timeline'
# Scrape HTML to get ticket attachments
url = self.full_url(self.ATTACHMENT_LIST_URL % id)
self.log_url(url)
f = urllib2.urlopen(url)
soup = BeautifulSoup(f)
attach = soup.find('div', id='attachments')
list = []
while attach:
attach = attach.findNext('dt')
if not attach:
break
d = {}
d['filename'] = attach.a['href'].rsplit('/', 1)[1]
d['url'] = self.full_url(self.ATTACHMENT_URL % (id, d['filename']))
size_s = attach.span['title']
d['size'] = int(self.match_pattern(SIZE_PATTERN, size_s))
timestamp_s = attach.find('a', {'class': 'timeline'})['title']
d['date'] = self.trac2z_date(self.match_pattern(TIMESTAMP_PATTERN, timestamp_s))
d['by'] = attach.find(text=re.compile('added by')).nextSibling.renderContents()
d['description'] = ''
# Skip whitespace
while attach.nextSibling and type(attach.nextSibling) is NavigableString:
attach = attach.nextSibling
# if there's a description, there will be a <dd> element, other immediately next <dt>
if attach.nextSibling and attach.nextSibling.name == 'dd':
desc_el = attach.nextSibling
if desc_el:
# TODO: Convert to Allura link syntax as needed
d['description'] = ''.join(desc_el.findAll(text=True)).strip()
list.append(d)
return list
def get_max_ticket_id(self):
url = self.full_url(self.QUERY_MAX_ID_URL, 'csv')
f = self.csvopen(url)
reader = csv.DictReader(f)
fields = reader.next()
print fields
return int(fields['id'])
def get_ticket(self, id, extra={}):
'''Get ticket with given id
extra: extra fields to add to ticket (parsed elsewhere)
'''
t = self.parse_ticket_body(id)
t['comments'] = self.parse_ticket_comments(id)
if options.do_attachments:
atts = self.parse_ticket_attachments(id)
if atts:
t['attachments'] = atts
t.update(extra)
return t
def next_ticket_ids(self):
'Go thru ticket list and collect available ticket ids.'
# We could just do CSV export, which by default dumps entire list
# Alas, for many busy servers with long ticket list, it will just
# time out. So, let's paginate it instead.
res = []
url = self.full_url(self.QUERY_BY_PAGE_URL % self.page, 'csv')
try:
f = self.csvopen(url)
except urllib2.HTTPError, e:
if 'emulated' in e.msg:
body = e.fp.read()
if 'beyond the number of pages in the query' in body:
raise StopIteration
raise
reader = csv.reader(f)
cols = reader.next()
for r in reader:
if r and r[0].isdigit():
id = int(r[0])
extra = {'date': self.trac2z_date(r[1]), 'date_updated': self.trac2z_date(r[2])}
res.append((id, extra))
self.page += 1
return res
def __iter__(self):
return self
def next(self):
while True:
if not self.ticket_queue:
self.ticket_queue = self.next_ticket_ids()
id, extra = self.ticket_queue.pop(0)
if id >= self.start_id:
break
return self.get_ticket(id, extra)
class DateJSONEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, time.struct_time):
return time.strftime('%Y-%m-%dT%H:%M:%SZ', obj)
return json.JSONEncoder.default(self, obj)
if __name__ == '__main__':
options, args = parse_options()
ex = TracExport(args[0], start_id=options.start_id)
# Implement iterator sequence limiting using islice()
doc = [t for t in islice(ex, options.limit)]
if not options.only_tickets:
doc = {
'class': 'PROJECT',
'trackers': {'default': {'artifacts': doc}}
}
out_file = sys.stdout
if options.out_filename:
out_file = open(options.out_filename, 'w')
out_file.write(json.dumps(doc, cls=DateJSONEncoder, indent=2, sort_keys=True))
# It's bad habit not to terminate lines
out_file.write('\n')