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thisisanshgupta
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log_error('NO LINK IN LINE: %s' % (line,))
continue
urls_raps = []
urls_others = []
for href in links:
if '/rap/' in href or '/rapports/' in href:
urls_raps.append(href)
else:
urls_others.append(href)
cmp_commission_other_url = None
if len(urls_others) > 0:
url = urls_others[0]
# CMP commission should produce two texts, one for each institution
if curr_step == 'commission' and curr_stage == 'CMP' and len(urls_others) > 1:
cmp_commission_other_url = clean_url(urljoin(url_an, urls_others[1]))
else:
url = urls_raps[0]
url = clean_url(urljoin(url_an, url))
real_institution = curr_institution
if curr_stage == 'CMP' and curr_step == 'hemicycle':
if 'assemblee-nationale.fr' in url:
real_institution = 'assemblee'
elif 'senat.fr' in url:
real_institution = 'senat'
step = {
'institution': real_institution,
'stage': curr_stage,
'source_url': url,
}
if curr_step:
step['step'] = curr_step
if cmp_commission_other_url:
step['cmp_commission_other_url'] = cmp_commission_other_url
# try to detect a date
for test_line in (line, html_lines[i-1]):
test_line = test_line.replace('1<sup>er</sup>', '1')
date_match = re.search(r'(déposée? le|adoptée? .*? le|modifiée? .*?|rejetée? .*?)\s*(\d\d? \w\w\w+ \d\d\d\d)', test_line, re.I)
if date_match:
step['date'] = format_date(date_match.group(2))
else:
date_match = re.search(r'(mis en ligne le)\s*(\d\d? \w\w\w+ \d\d\d\d)', test_line, re.I)
if date_match:
step['date'] = format_date(date_match.group(2))
if 'date' in step and 'beginning' not in data:
data['beginning'] = step['date']
data['steps'].append(step)
predicted_next_step = None
last_step_index = i
if 'publiée au Journal Officiel' in line and not url_jo:
links = [clean_url(a.attrs['href']) for a in parse_line().select('a') if 'legifrance' in a.attrs.get('href', '')]
if not links:
log_error('NO GOOD LINK IN LINE: %s' % (line,))
continue
url_jo = links[-1]
if 'Le Gouvernement a engagé la procédure accélérée' in line or 'engagement de la procédure accélérée' in line:
data['urgence'] = True
# Next step prediction via small clues
# TODO: this could be done via last_section (we parse two times the same thing)
# TODO: this fails for CMP hemicycle senat
if curr_stage != 'CMP':
if '>Discussion en séance publique<' in line:
predicted_next_step = {
'institution': curr_institution,
'stage': curr_stage,
'step': 'hemicycle',
}
elif '>Travaux des commissions<' in line:
predicted_next_step = {
'institution': curr_institution,
'stage': curr_stage,
'step': 'commission',
}
metas = {}
for meta in soup.select('meta'):
if 'name' in meta.attrs:
metas[meta.attrs['name']] = meta.attrs['content']
if not url_jo:
url_jo = metas.get('LIEN_LOI_PROMULGUEE')
if url_jo:
data['url_jo'] = clean_url(url_jo)
promulgation_step = {
'institution': 'gouvernement',
'stage': 'promulgation',
'source_url': data['url_jo'],
}
if metas.get('LOI_PROMULGUEE'):
data['end'] = find_promulgation_date(metas.get('LOI_PROMULGUEE'))