def entry_detail(request, year, month, day, page_id, slug):
date = datetime.date(year=int(year), month=int(month), day=int(day))
chunks = []
page = 0
while True:
response = capitolwords.text(date=date,
page_id=page_id,
sort='id asc',
per_page=1000,
page=page)
chunks += response
if len(response) < 1000:
break
page += 1
chunks.sort(key=itemgetter('order'))
similar_entries = get_similar_entries(chunks)
metadata = chunks[0]
year, month, day = [int(x) for x in metadata['date'].split('-')]
metadata['date'] = datetime.date(year=year, month=month, day=day)
return render_to_response(
'cwod/entry_detail.html',
{
'date': date,
'page_id': page_id,
'chunks': chunks,
'metadata': metadata,
#'entries': entries_for_date(date),
'similar_entries': similar_entries,
},
context_instance=RequestContext(request))
def entry_detail(request, year, month, day, page_id, slug):
date = datetime.date(year=int(year), month=int(month), day=int(day))
chunks = []
page = 0
while True:
response = capitolwords.text(date=date, page_id=page_id, sort='id asc', per_page=1000, page=page)
chunks += response
if len(response) < 1000:
break
page += 1
chunks.sort(key=itemgetter('order'))
similar_entries = get_similar_entries(chunks)
metadata = chunks[0]
year, month, day = [int(x) for x in metadata['date'].split('-')]
metadata['date'] = datetime.date(year=year, month=month, day=day)
return render_to_response('cwod/entry_detail.html',
{'date': date,
'page_id': page_id,
'chunks': chunks,
'metadata': metadata,
#'entries': entries_for_date(date),
'similar_entries': similar_entries,
}, context_instance=RequestContext(request))
def entries_for_date(date, **kwargs):
page = 0
chambers = {'Extensions': defaultdict(set),
'House': defaultdict(set),
'Senate': defaultdict(set)}
has_entries = False
while True:
response = capitolwords.text(date=date, sort='id desc', page=page, **kwargs)
if response and not has_entries:
has_entries = True
for entry in response:
try:
chambers[entry['chamber']][(entry['title'], entry['pages'], entry['origin_url'], entry['speaking'][0])].add(entry['speaker_last'])
except KeyError:
chambers[entry['chamber']][(entry['title'], entry['pages'], entry['origin_url'], '')].add(entry['speaker_last'])
except KeyError:
continue
if len(response) < 50:
break
page += 1
if not has_entries:
return []
chambers['Extensions of Remarks'] = chambers['Extensions']
del(chambers['Extensions'])
for k, v in chambers.iteritems():
chambers[k] = sorted(v.items(), lambda x, y: cmp(x[0][1], y[0][1]))
return chambers.items()
def legislator_detail(request, bioguide_id, slug=None):
legislator = legislator_lookup(bioguide_id)
if not legislator:
raise Http404
if legislator['slug'] != slug:
return HttpResponsePermanentRedirect(reverse('cwod_legislator_detail', kwargs={'bioguide_id':bioguide_id, 'slug':legislator['slug']}))
similar_legislators = []
for i in get_similar_entities('bioguide', bioguide_id)[:10]:
i['legislator'] = legislator_lookup(i['bioguide'])
similar_legislators.append(i)
ngrams = {}
for n in range(1, 6):
ngrams[GRAM_NAMES[n-1]] = capitolwords.top_phrases(
entity_type='legislator',
entity_value=bioguide_id,
n=n,
per_page=30
)
ngrams = ngrams.iteritems()
entries = capitolwords.text(bioguide_id=bioguide_id, sort='date desc', per_page=5)
return render_to_response('cwod/legislator_detail.html',
{'legislator': legislator,
'current_congress': get_current_congress(),
'similar_legislators': similar_legislators,
'entries': entries,
'ngrams': ngrams,
}, context_instance=RequestContext(request))
def state_detail(request, state):
state_name = dict(STATE_CHOICES + TERRITORY_CHOICES).get(state)
if not state_name:
raise Http404
entries = capitolwords.text(state='"%s"' % state,
sort='date desc,score desc',
per_page=5)
ngrams = {}
for n in range(1, 6):
ngrams[GRAM_NAMES[n - 1]] = capitolwords.top_phrases(
entity_type='state', entity_value=state, n=n, per_page=30)
ngrams = ngrams.iteritems()
similar_states = get_similar_entities('state', state)
# legislators = LegislatorRole.objects.filter(state=state, end_date__gte=datetime.date.today())
legislators = capitolwords.legislators(state=state,
congress=get_current_congress())
def sort_districts(x, y):
try:
x_district = int(x['district'])
except ValueError:
x_district = 0
try:
y_district = int(y['district'])
except ValueError:
y_district = 0
return cmp(x_district, y_district)
legislators = sorted(legislators, sort_districts)
bodies = {
'House': [],
'Senate': [],
}
for legislator in legislators:
if legislator['chamber'] == 'Senate':
bodies['Senate'].append(legislator)
else:
bodies['House'].append(legislator)
bodies = sorted(bodies.items(), key=itemgetter(0), reverse=True)
return render_to_response(
'cwod/state_detail.html',
{
'state': state,
'state_name': state_name,
'entries': entries,
'ngrams': ngrams,
#'other_states': other_states,
'similar_states': similar_states,
'bodies': bodies,
},
context_instance=RequestContext(request))
def state_detail(request, state):
state_name = dict(STATE_CHOICES + TERRITORY_CHOICES).get(state)
if not state_name:
raise Http404
entries = capitolwords.text(state='"%s"' % state, sort='date desc,score desc', per_page=5)
ngrams = {}
for n in range(1, 6):
ngrams[GRAM_NAMES[n-1]] = capitolwords.top_phrases(
entity_type='state',
entity_value=state,
n=n,
per_page=30
)
ngrams = ngrams.iteritems()
similar_states = get_similar_entities('state', state)
# legislators = LegislatorRole.objects.filter(state=state, end_date__gte=datetime.date.today())
legislators = capitolwords.legislators(state=state, congress=get_current_congress())
def sort_districts(x, y):
try:
x_district = int(x['district'])
except ValueError:
x_district = 0
try:
y_district = int(y['district'])
except ValueError:
y_district = 0
return cmp(x_district, y_district)
legislators = sorted(legislators, sort_districts)
bodies = {'House': [], 'Senate': [], }
for legislator in legislators:
if legislator['chamber'] == 'Senate':
bodies['Senate'].append(legislator)
else:
bodies['House'].append(legislator)
bodies = sorted(bodies.items(), key=itemgetter(0), reverse=True)
return render_to_response('cwod/state_detail.html',
{'state': state,
'state_name': state_name,
'entries': entries,
'ngrams': ngrams,
#'other_states': other_states,
'similar_states': similar_states,
'bodies': bodies,
}, context_instance=RequestContext(request))
def faster_term_detail(request, term):
# For better URLs, replace spaces with underscores and strip trailing punctuation
term = term.strip('"\' ')
if re.search(r'\s', term) or re.search(r'[%s]$' % ''.join(PUNCTUATION),
term):
term = re.sub(r'[%s]$' % ''.join(PUNCTUATION), '', term)
term = re.sub(r'\s', '_', term.strip())
url = reverse('cwod_term_detail', kwargs={'term': term})
return HttpResponsePermanentRedirect(url)
if request.GET.get('js') == 'false':
return term_detail(request, term)
term = re.sub(r'_', ' ', term)
# Recent entries
all_entries = capitolwords.text(phrase=term,
bioguide_id="['' TO *]",
sort='date desc,score desc',
per_page=50)
# Only show one entry for each Congressional Record page.
entries = []
urls = []
for entry in all_entries:
if entry['origin_url'] in urls:
continue
urls.append(entry['origin_url'])
entries.append(entry)
entries = _highlight_entries(entries, term)
uri = request.build_absolute_uri()
if '?' in uri:
no_js_uri = uri + '&js=false'
else:
no_js_uri = uri + '?js=false'
return render_to_response('cwod/term_detail.html', {
'term': term,
'entries': entries,
'needs_js': True,
'no_js_uri': no_js_uri,
'state_choices': US_STATES + US_TERRITORIES,
},
context_instance=RequestContext(request))
def entries_for_date(date, **kwargs):
page = 0
chambers = {
'Extensions': defaultdict(set),
'House': defaultdict(set),
'Senate': defaultdict(set)
}
has_entries = False
while True:
response = capitolwords.text(date=date,
sort='id desc',
page=page,
**kwargs)
if response and not has_entries:
has_entries = True
for entry in response:
try:
chambers[entry['chamber']][(entry['title'], entry['pages'],
entry['origin_url'],
entry['speaking'][0])].add(
entry['speaker_last'])
except KeyError:
chambers[entry['chamber']][(entry['title'], entry['pages'],
entry['origin_url'],
'')].add(entry['speaker_last'])
except KeyError:
continue
if len(response) < 50:
break
page += 1
if not has_entries:
return []
chambers['Extensions of Remarks'] = chambers['Extensions']
del (chambers['Extensions'])
for k, v in chambers.iteritems():
chambers[k] = sorted(v.items(), lambda x, y: cmp(x[0][1], y[0][1]))
return chambers.items()
def faster_term_detail(request, term):
# For better URLs, replace spaces with underscores and strip trailing punctuation
term = term.strip('"\' ')
if re.search(r'\s', term) or re.search(r'[%s]$' % ''.join(PUNCTUATION), term):
term = re.sub(r'[%s]$' % ''.join(PUNCTUATION), '', term)
term = re.sub(r'\s', '_', term.strip())
url = reverse('cwod_term_detail', kwargs={'term': term})
return HttpResponsePermanentRedirect(url)
if request.GET.get('js') == 'false':
return term_detail(request, term)
term = re.sub(r'_', ' ', term)
# Recent entries
all_entries = capitolwords.text(phrase=term, bioguide_id="['' TO *]", sort='date desc,score desc', per_page=50)
# Only show one entry for each Congressional Record page.
entries = []
urls = []
for entry in all_entries:
if entry['origin_url'] in urls:
continue
urls.append(entry['origin_url'])
entries.append(entry)
entries = _highlight_entries(entries, term)
uri = request.build_absolute_uri()
if '?' in uri:
no_js_uri = uri + '&js=false'
else:
no_js_uri = uri + '?js=false'
return render_to_response('cwod/term_detail.html',
{'term': term,
'entries': entries,
'needs_js': True,
'no_js_uri': no_js_uri,
'state_choices': US_STATES + US_TERRITORIES,
}, context_instance=RequestContext(request))
def legislator_detail(request, bioguide_id, slug=None):
legislator = legislator_lookup(bioguide_id)
if not legislator:
raise Http404
if legislator['slug'] != slug:
return HttpResponsePermanentRedirect(
reverse('cwod_legislator_detail',
kwargs={
'bioguide_id': bioguide_id,
'slug': legislator['slug']
}))
similar_legislators = []
for i in get_similar_entities('bioguide', bioguide_id)[:10]:
i['legislator'] = legislator_lookup(i['bioguide'])
similar_legislators.append(i)
ngrams = {}
for n in range(1, 6):
ngrams[GRAM_NAMES[n - 1]] = capitolwords.top_phrases(
entity_type='legislator',
entity_value=bioguide_id,
n=n,
per_page=30)
ngrams = ngrams.iteritems()
entries = capitolwords.text(bioguide_id=bioguide_id,
sort='date desc',
per_page=5)
return render_to_response('cwod/legislator_detail.html', {
'legislator': legislator,
'current_congress': get_current_congress(),
'similar_legislators': similar_legislators,
'entries': entries,
'ngrams': ngrams,
},
context_instance=RequestContext(request))
def term_detail(request, term):
# For better URLs, replace spaces with underscores & strip trailing punctuation,
# as well as bordering quotation marks
term = term.strip('"\' ')
if re.search(r'\s', term) or re.search(r'[%s]$' % ''.join(PUNCTUATION),
term):
term = re.sub(r'[%s]$' % ''.join(PUNCTUATION), '', term)
term = re.sub(r'\s', '_', term.strip())
url = reverse('cwod_term_detail', kwargs={'term': term})
return HttpResponsePermanentRedirect(url)
term = re.sub(r'_', ' ', term)
stem = request.GET.get('stem', 'false')
# Timeline
timeline_kwargs = {
'phrase': term,
'granularity': 'month',
'percentages': 'true',
#'smoothing': 4,
'mincount': 0,
'stem': stem,
'legend': 'false',
}
timeline_url = capitolwords.timeline(**timeline_kwargs)
timeline_kwargs.update({
'split_by_party': 'true',
'legend': 'true',
})
party_timeline_url = capitolwords.timeline(**timeline_kwargs)
# custom timeline
custom_timeline_url = timeline_url
party = request.GET.get('party')
state = request.GET.get('state')
bioguide_id = request.GET.get('bioguide_id')
if party or state or bioguide_id:
try:
custom_timeline_url = capitolwords.timeline(
**{
'phrase': term,
'granularity': 'month',
'percentages': 'true',
'mincount': 0,
'party': party,
'state': state,
'bioguide_id': bioguide_id,
'stem': stem,
})
except ApiError:
custom_timeline_url = 'error'
"""
popular_dates = sorted(capitolwords.phrase_by_date_range(phrase=term, per_page=15, sort='count', percentages='true'),
key=itemgetter('percentage'),
reverse=True)[:10]
popular_dates = [dateparse(x['day']).date() for x in popular_dates]
"""
# Word tree
"""
tree = capitolwords.wordtree(phrase=term)
tree = [x for x in tree if not re.search(r' (%s)$' % '|'.join(STOPWORDS), x['phrase']) and x['count'] > 1]
"""
# Party pie chart
party_pie_url = capitolwords.piechart(phrase=term,
entity_type='party',
labels='true')
# Commonly said by these legislators
legislators = capitolwords.phrase_by_entity_type('legislator',
phrase=term,
sort='count',
per_page=10)
for legislator in legislators:
legislator['legislator'] = LegislatorRole.objects.filter(
bioguide_id=legislator['legislator']).order_by(
'-congress').select_related()[0]
# Popularity by state
states = capitolwords.phrase_by_entity_type('state',
phrase=term,
sort='count',
per_page=10)
# Recent entries
all_entries = capitolwords.text(phrase=term,
bioguide_id="['' TO *]",
sort='date desc,score desc',
per_page=50)
# Only show one entry for each Congressional Record page.
entries = []
urls = []
for entry in all_entries:
if entry['origin_url'] in urls:
continue
urls.append(entry['origin_url'])
entries.append(entry)
entries = _highlight_entries(entries, term)
return render_to_response(
'cwod/term_detail.html',
{
'term': term,
'timeline_url': timeline_url['url'],
'party_timeline_url': party_timeline_url['url'],
'custom_timeline_url': custom_timeline_url,
#'popular_dates': popular_dates,
'party_pie_url': party_pie_url['url'],
'legislators': legislators,
'states': states,
#'tree': tree,
'entries': entries,
'search': request.GET.get('search') == '1',
'state_choices': US_STATES + US_TERRITORIES,
},
context_instance=RequestContext(request))
def term_detail(request, term):
# For better URLs, replace spaces with underscores & strip trailing punctuation,
# as well as bordering quotation marks
term = term.strip('"\' ')
if re.search(r'\s', term) or re.search(r'[%s]$' % ''.join(PUNCTUATION), term):
term = re.sub(r'[%s]$' % ''.join(PUNCTUATION), '', term)
term = re.sub(r'\s', '_', term.strip())
url = reverse('cwod_term_detail', kwargs={'term': term})
return HttpResponsePermanentRedirect(url)
term = re.sub(r'_', ' ', term)
stem = request.GET.get('stem', 'false')
# Timeline
timeline_kwargs = {'phrase': term,
'granularity': 'month',
'percentages': 'true',
#'smoothing': 4,
'mincount': 0,
'stem': stem,
'legend': 'false', }
timeline_url = capitolwords.timeline(**timeline_kwargs)
timeline_kwargs.update({'split_by_party': 'true', 'legend': 'true', })
party_timeline_url = capitolwords.timeline(**timeline_kwargs)
# custom timeline
custom_timeline_url = timeline_url
party = request.GET.get('party')
state = request.GET.get('state')
bioguide_id = request.GET.get('bioguide_id')
if party or state or bioguide_id:
try:
custom_timeline_url = capitolwords.timeline(**{'phrase': term,
'granularity': 'month',
'percentages': 'true',
'mincount': 0,
'party': party,
'state': state,
'bioguide_id': bioguide_id,
'stem': stem,
})
except ApiError:
custom_timeline_url = 'error'
"""
popular_dates = sorted(capitolwords.phrase_by_date_range(phrase=term, per_page=15, sort='count', percentages='true'),
key=itemgetter('percentage'),
reverse=True)[:10]
popular_dates = [dateparse(x['day']).date() for x in popular_dates]
"""
# Word tree
"""
tree = capitolwords.wordtree(phrase=term)
tree = [x for x in tree if not re.search(r' (%s)$' % '|'.join(STOPWORDS), x['phrase']) and x['count'] > 1]
"""
# Party pie chart
party_pie_url = capitolwords.piechart(phrase=term,
entity_type='party',
labels='true')
# Commonly said by these legislators
legislators = capitolwords.phrase_by_entity_type('legislator', phrase=term, sort='count', per_page=10)
for legislator in legislators:
legislator['legislator'] = LegislatorRole.objects.filter(bioguide_id=legislator['legislator']).order_by('-congress').select_related()[0]
# Popularity by state
states = capitolwords.phrase_by_entity_type('state', phrase=term, sort='count', per_page=10)
# Recent entries
all_entries = capitolwords.text(phrase=term, bioguide_id="['' TO *]", sort='date desc,score desc', per_page=50)
# Only show one entry for each Congressional Record page.
entries = []
urls = []
for entry in all_entries:
if entry['origin_url'] in urls:
continue
urls.append(entry['origin_url'])
entries.append(entry)
entries = _highlight_entries(entries, term)
return render_to_response('cwod/term_detail.html',
{'term': term,
'timeline_url': timeline_url['url'],
'party_timeline_url': party_timeline_url['url'],
'custom_timeline_url': custom_timeline_url,
#'popular_dates': popular_dates,
'party_pie_url': party_pie_url['url'],
'legislators': legislators,
'states': states,
#'tree': tree,
'entries': entries,
'search': request.GET.get('search') == '1',
'state_choices': US_STATES + US_TERRITORIES,
}, context_instance=RequestContext(request))
