def _read(self, raw_table):
th_nodes = raw_table.contents.filter_tags(matches=ftag('th'))
for th in th_nodes:
self.head.append(th.contents.strip_code().strip(' '))
raw_table.contents.remove(th)
log.debug('parsed {} columns from table {}'.format(len(th_nodes), self.name))
for tr in raw_table.contents.ifilter_tags(matches=ftag('tr')):
row = Row(self.head, tr)
if not row.is_null:
self.rows.append(row)
log.debug('parsed {} rows from table {}'.format(len(self.rows), self.name))
def _read(self, raw_table):
th_nodes = raw_table.contents.filter_tags(matches=ftag('th'))
for th in th_nodes:
self.head.append(th.contents.strip_code().strip(' '))
raw_table.contents.remove(th)
log.debug('parsed %d columns from table %s' % \
(len(th_nodes), self.name))
for tr in raw_table.contents.ifilter_tags(matches=ftag('tr')):
row = Row(self.head, tr)
if not row.is_null:
self.rows.append(row)
log.debug('parsed %d rows from table %s' % \
(len(self.rows), self.name))
def __init__(self, name, raw_table):
self.name = ustr(name)
self.rows = []
self._head = []
self._node = raw_table
self._tr_nodes = raw_table.contents.filter_tags(matches=ftag('tr'))
self._read(raw_table)
def _parse(self, node):
rname = '%s[%s]' % (self._tname, self._idx)
self._idx += 1
r = Row(rname, node)
cols = node.contents.ifilter_tags(matches=ftag('th', 'td'))
fields = [f for col in cols for f in self._freader.parse(col)]
for col_name in self.head:
if self._nspan[col_name]:
r[col_name] = self._span[col_name]
self._nspan[col_name] -= 1
continue
if not fields:
log.warn('%s: missing field for column [%s]' %
(r.name, col_name))
continue
f = fields.pop(0)
if 'rowspan' in f.attrs:
self._span[col_name] = f
self._nspan[col_name] = int(f.attrs['rowspan']) - 1
r[col_name] = f
for f in fields:
log.warn('%s: dropping field from unknown column: %s' %
(r.name, f))
return r
def _parse(self, node):
rname = '%s[%s]' % (self._tname, self._idx)
self._idx += 1
r = Row(rname, node)
cols = node.contents.ifilter_tags(matches=ftag('th', 'td'))
fields = [ f for col in cols for f in self._freader.parse(col) ]
for col_name in self.head:
if self._nspan[col_name]:
r[col_name] = self._span[col_name]
self._nspan[col_name] -= 1
continue
if not fields:
log.warn('%s: missing field for column [%s]' % (r.name, col_name))
continue
f = fields.pop(0)
if 'rowspan' in f.attrs:
self._span[col_name] = f
self._nspan[col_name] = int(f.attrs['rowspan'])-1
r[col_name] = f
for f in fields:
log.warn('%s: dropping field from unknown column: %s' % (r.name, f))
return r
def __init__(self, name, raw_table):
self.name = ustr(name)
self.rows = []
self._head = []
self._node = raw_table
self._tr_nodes = raw_table.contents.filter_tags(matches=ftag('tr'))
self._read_header()
self._read_rows()
def _read(head, node):
cols = list(node.contents.ifilter_tags(matches=ftag('th', 'td')))
# check to see if number of cells in rows match header
if len(head) == len([ str(Field(c)) for c in cols ]):
r = zip(head, [ {"value": str(Field(c)), "link": Field(c).link} for c in cols ])
return r
else:
return False
def import_tables(article, lang="en"):
client = Client(lang)
page = client.fetch_page(article)
body = page['revisions'][0]['*']
extract = client.fetch_extract(article)
parsed_body = mwp.parse(body, skip_style_tags=True)
table_extracted = False
tables_info = nested_dict()
tables_info['title'] = page['title']
tables_info['extract'] = extract
## get sections
sections = parsed_body.get_sections(include_lead=False,
include_headings=True,
flat=True)
print(page['title'])
section_count = 0
for idx, s in enumerate(sections):
section_table = False
t = s.filter_tags(matches=ftag('table'))
if t:
head = mwp.parse(s.filter_headings()[0])
tables_info[str(section_count)]["head"] = head.strip_code()
s.remove(head)
table_count = 0
for i, x in enumerate(t):
name = '{}|Table {}'.format(page['title'], table_count)
wt = WikiTable(name, x)
if not wt.flag:
table_extracted = True
section_table = True
tables_info[str(section_count)]["table"][str(
table_count)]["rows"] = [dict(r) for r in wt.rows]
tables_info[str(section_count)]["table"][str(
table_count)]["head"] = wt.head
tables_info[str(section_count)]["table"][str(
table_count)]["rows_count"] = wt.rows_len
tables_info[str(section_count)]["table"][str(
table_count)]["cols_count"] = wt.head_len
table_count += 1
# hack, only remove if table exists
try:
s.remove(x)
except:
pass
tables_info[str(section_count)]["text"] = s.strip_code()
if section_table:
section_count += 1
else:
del tables_info[str(section_count)]
if table_extracted:
return tables_info
return None
def _find_header_row(self):
"""
Evaluate all rows and determine header position, based on
greatest number of 'th' tagged elements
"""
th_max = 0
header_idx = 0
for idx, tr in enumerate(self._tr_nodes):
th_count = len(tr.contents.filter_tags(matches=ftag('th')))
if th_count > th_max:
th_max = th_count
header_idx = idx
self._log('found header at row %d (%d <th> elements)' % \
(header_idx, th_max))
header_row = self._tr_nodes.pop(header_idx)
return header_row.contents.filter_tags(matches=ftag('th'))
def __init__(self, name, raw_table):
self.name = ustr(name)
self.rows = []
self._head = []
self._node = raw_table
self._tr_nodes = raw_table.contents.filter_tags(matches=ftag('tr'))
# hack to determine whether or not to return table
self.flag = False
self._read(raw_table)
def _find_header_flat(self):
"""
Find header elements in a table, if possible. This case handles
situations where '<th>' elements are not within a row('<tr>')
"""
nodes = self._node.contents.filter_tags(
matches=ftag('th'), recursive=False)
if not nodes:
return
self._log('found header outside rows (%d <th> elements)' % len(nodes))
return nodes
def _find_header_flat(self):
"""
Find header elements in a table, if possible. This case handles
situations where '<th>' elements are not within a row('<tr>')
"""
nodes = self._node.contents.filter_tags(
matches=ftag('th'), recursive=False)
if not nodes:
return
self._log('found header outside rows (%d <th> elements)' % len(nodes))
return nodes
def _find_header_row(self):
"""
Evaluate all rows and determine header position, based on
greatest number of 'th' tagged elements
"""
th_max = 0
header_idx = 0
for idx, tr in enumerate(self._tr_nodes):
th_count = len(tr.contents.filter_tags(matches=ftag('th')))
if th_count > th_max:
th_max = th_count
header_idx = idx
if not th_max:
return
self._log('found header at row %d (%d <th> elements)' % \
(header_idx, th_max))
header_row = self._tr_nodes.pop(header_idx)
return header_row.contents.filter_tags(matches=ftag('th'))
def _make_default_header(self):
"""
Return a generic placeholder header based on the tables column count
"""
td_max = 0
for idx, tr in enumerate(self._tr_nodes):
td_count = len(tr.contents.filter_tags(matches=ftag('td')))
if td_count > td_max:
td_max = td_count
self._log('creating default header (%d columns)' % td_max)
return ['column%d' % n for n in range(0, td_max)]
def _make_default_header(self):
"""
Return a generic placeholder header based on the tables column count
"""
td_max = 0
for idx, tr in enumerate(self._tr_nodes):
td_count = len(tr.contents.filter_tags(matches=ftag('td')))
if td_count > td_max:
td_max = td_count
self._log('creating default header (%d columns)' % td_max)
return [ 'column%d' % n for n in range(0,td_max) ]
def import_tables(article, lang="en"):
client = Client(lang)
page = client.fetch_page(article)
body = page['revisions'][0]['*']
## parse for tables
raw_tables = mwp.parse(body).filter_tags(matches=ftag('table'))
def _table_gen():
for idx, table in enumerate(raw_tables):
name = '%s[%s]' % (page['title'],idx)
yield WikiTable(name, table)
return list(_table_gen())
def _read(head, node):
cols = node.contents.ifilter_tags(matches=ftag('th', 'td'))
return zip(head, [Field(c) for c in cols])
def _read(head, node):
cols = node.contents.ifilter_tags(matches=ftag('td'))
return zip(head, [ Field(c) for c in cols ])
def parse_programs(self):
"""Parse table with descriptions for program, strategies and names.
Assumes a wikipage with a table formatted in a particular way,
with cells spanning mutiple rows and HTML comments containing
some of the information. An instance of such a table can be
found on:
https://se.wikimedia.org/w/index.php?title=Verksamhetsplan_2019/Tabell_%C3%B6ver_program,_strategi_och_m%C3%A5l&oldid=75471.
"""
operational_plan_page = Page(
self._site,
self._make_year_title(
self._config["year_pages"]["operational_plan"]))
# Get table string. This assumes that it is the first table on
# the page.
table_string = str(
mwp.parse(operational_plan_page.text).filter_tags(
matches=ftag('table'))[0])
# Remove ref tags and links.
table_string = re.sub(r"(<ref.*?>.*?</ref>|\[\[.*?\||\]\])",
"",
table_string,
flags=re.S)
remaining_projects = list(self._projects.keys())
# Split table on rows.
rows = table_string.split("|-")
for row in rows[1:]:
# Skip first rows; we don't need the headers.
if not row.rstrip("|}").strip():
# This is just the end table row, skip it.
continue
# Split rows on pipes and remove formatting.
cells = list(
filter(
None,
map(lambda c: c.split("|")[-1].strip(),
re.split(r"[\|\n]\|", row))))
if len(cells) == 3:
# Row includes program.
program_name, program_number = \
re.match(r"(.*)\s+<!--\s*(.*)\s*-->", cells[0]).groups()
self._programs.append({
"number": program_number,
"name": program_name,
"strategies": []
})
if len(cells) >= 2:
# Row includes strategy, which is always in the cell
# second from the right.
strategy, strategy_number, strategy_short = \
re.match(
r"(.*)\s*<!--\s*(\d+)\s*(.*)\s-->",
cells[-2]
).groups()
self._programs[-1]["strategies"].append({
"number": strategy_number,
"description": strategy,
"short_description": strategy_short,
"projects": [],
"goals": []
})
for project in self._get_projects_for_strategy(
strategy_number):
# Add projects for this strategy.
self._programs[-1]["strategies"][-1]["projects"].append(
project)
remaining_projects.remove(project)
# The rightmost cell always contains a goal.
goal = cells[-1]
self._programs[-1]["strategies"][-1]["goals"].append(goal)
if remaining_projects:
logging.warning(
"There were projects which could not be matched to programs, "
"these will be skipped from overview pages: '{}'".format(
', '.join(remaining_projects)))
