本文整理汇总了Python中pupa.scrape.Bill.classification方法的典型用法代码示例。如果您正苦于以下问题：Python Bill.classification方法的具体用法？Python Bill.classification怎么用？Python Bill.classification使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pupa.scrape.Bill的用法示例。
在下文中一共展示了Bill.classification方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: scrape_bill_type
# 需要导入模块: from pupa.scrape import Bill [as 别名]
# 或者: from pupa.scrape.Bill import classification [as 别名]
#.........这里部分代码省略.........
not version.title.lower().startswith('an act'):
title = clean_title(version.short_title)
else:
title = clean_title(version.title)
if title:
all_titles.add(title)
type_ = [bill_type]
if version.appropriation == 'Yes':
type_.append('appropriation')
tags = []
if version.fiscal_committee == 'Yes':
tags.append('fiscal committee')
if version.local_program == 'Yes':
tags.append('local program')
if version.urgency == 'Yes':
tags.append('urgency')
if version.taxlevy == 'Yes':
tags.append('tax levy')
if version.subject:
subject = clean_title(version.subject)
if not title:
self.warning("Couldn't find title for %s, skipping" % bill_id)
continue
fsbill.title = title
if summary:
fsbill.add_abstract(summary, note='summary')
fsbill.classification = type_
fsbill.subject = [subject] if subject else []
fsbill.extras['impact_clause'] = impact_clause
fsbill.extras['tags'] = tags
# We don't want the current title in alternate_titles
all_titles.remove(title)
for title in all_titles:
fsbill.add_title(title)
for author in version.authors:
fsbill.add_sponsorship(
author.name,
classification=SPONSOR_TYPES[author.contribution],
primary=author.primary_author_flg == 'Y',
entity_type='person',
)
# fsbill.sponsorships[-1]['extras'] = {'official_type': author.contribution}
seen_actions = set()
for action in bill.actions:
if not action.action:
# NULL action text seems to be an error on CA's part,
# unless it has some meaning I'm missing
continue
actor = action.actor or chamber
actor = actor.strip()
match = re.match(r'(Assembly|Senate)($| \(Floor)', actor)
if match:
actor = {'Assembly': 'lower',
'Senate': 'upper'}[match.group(1)]
elif actor.startswith('Governor'):