zcspider/tests/test_main.py

182 lines
6.0 KiB
Python

import unittest
import pandas as pd
from mycode import main
class PhraseExemptionRulesTest(unittest.TestCase):
def test_builds_exemption_rules_from_suggestion_phrases(self):
rules_df = pd.DataFrame([
{
'错误表述': '深入贯彻中央八项规定精神',
'建议修改词语': '深入贯彻中央八项规定精神学习教育',
'错误分类': '固定表述错误'
},
{
'错误表述': '“两学一做”学习',
'建议修改词语': '“两学一做”学习教育',
'错误分类': '固定表述错误'
},
])
exemption_rules = main.build_phrase_exemption_rules(rules_df)
self.assertEqual(
exemption_rules['深入贯彻中央八项规定精神'],
['深入贯彻中央八项规定精神学习教育']
)
self.assertEqual(
exemption_rules['“两学一做”学习'],
['“两学一做”学习教育']
)
def test_skips_short_error_phrase_when_full_correct_phrase_exists(self):
exemption_rules = {
'深入贯彻中央八项规定精神': ['深入贯彻中央八项规定精神学习教育']
}
should_skip = main.should_skip_error_phrase(
'深入贯彻中央八项规定精神',
'现开展深入贯彻中央八项规定精神学习教育相关工作。',
exemption_rules
)
self.assertTrue(should_skip)
def test_does_not_skip_when_only_short_error_phrase_exists(self):
exemption_rules = {
'深入贯彻中央八项规定精神': ['深入贯彻中央八项规定精神学习教育']
}
should_skip = main.should_skip_error_phrase(
'深入贯彻中央八项规定精神',
'文章仅写到深入贯彻中央八项规定精神,没有写完整。',
exemption_rules
)
self.assertFalse(should_skip)
class DeletedWechatContentFilterTest(unittest.TestCase):
def test_filters_rows_when_url_page_says_deleted(self):
rows = [
[1, '公众号A', '标题A', '错误表述A', '建议A', '分类A', 'https://a.test/1'],
[2, '公众号B', '标题B', '错误表述B', '建议B', '分类B', 'https://b.test/2'],
]
def fetch_html(url):
if url == 'https://a.test/1':
return '该内容已被发布者删除'
return '正常文章内容'
filtered_rows = main.filter_deleted_wechat_rows(rows, fetch_html=fetch_html)
self.assertEqual(
filtered_rows,
[[2, '公众号B', '标题B', '错误表述B', '建议B', '分类B', 'https://b.test/2']]
)
def test_keeps_rows_when_url_page_is_not_deleted(self):
rows = [
[1, '公众号A', '标题A', '错误表述A', '建议A', '分类A', 'https://a.test/1'],
]
filtered_rows = main.filter_deleted_wechat_rows(
rows,
fetch_html=lambda url: '正文还在'
)
self.assertEqual(filtered_rows, rows)
def test_checks_same_url_only_once(self):
rows = [
[1, '公众号A', '标题A', '错误表述A', '建议A', '分类A', 'https://same.test/1'],
[2, '公众号A', '标题B', '错误表述B', '建议B', '分类B', 'https://same.test/1'],
]
calls = []
def fetch_html(url):
calls.append(url)
return '正常文章内容'
filtered_rows = main.filter_deleted_wechat_rows(rows, fetch_html=fetch_html)
self.assertEqual(filtered_rows, rows)
self.assertEqual(calls, ['https://same.test/1'])
def test_keeps_rows_when_fetch_fails(self):
rows = [
[1, '公众号A', '标题A', '错误表述A', '建议A', '分类A', 'https://a.test/1'],
]
def fetch_html(url):
raise TimeoutError(url)
filtered_rows = main.filter_deleted_wechat_rows(
rows,
fetch_html=fetch_html
)
self.assertEqual(filtered_rows, rows)
def test_reports_url_check_progress(self):
rows = [
[1, '公众号A', '标题A', '错误表述A', '建议A', '分类A', 'https://a.test/1'],
[2, '公众号B', '标题B', '错误表述B', '建议B', '分类B', 'https://b.test/2'],
[3, '公众号A', '标题C', '错误表述C', '建议C', '分类C', 'https://a.test/1'],
]
progress = []
main.filter_deleted_wechat_rows(
rows,
fetch_html=lambda url: '正常文章内容',
progress_callback=lambda completed, total: progress.append(
(completed, total)
)
)
self.assertEqual(progress[-1], (2, 2))
self.assertEqual(len(progress), 2)
class WechatAnalysisProgressTest(unittest.TestCase):
def test_reports_rule_scan_progress(self):
rules_df = pd.DataFrame([
{
'错误表述': '错误A',
'建议修改词语': '修改A',
'错误分类': '分类A'
},
{
'错误表述': '错误B',
'建议修改词语': '修改B',
'错误分类': '分类B'
},
])
articles_df = pd.DataFrame([
{
'nickname': '公众号A',
'title': '标题A',
'content': '这里包含错误A',
'content_url': 'https://a.test/1'
}
])
progress = []
rows = main.ana_wechat(
rules_df=rules_df,
articles_df=articles_df,
progress_callback=lambda completed, total: progress.append(
(completed, total)
),
fetch_html=lambda url: '正常文章内容'
)
self.assertEqual(len(rows), 1)
self.assertEqual(progress[-1], (2, 2))
if __name__ == '__main__':
unittest.main()