Пример #1
0
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))
Пример #2
0
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))
Пример #3
0
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()
Пример #4
0
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))
Пример #5
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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))
Пример #6
0
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))
Пример #7
0
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))
Пример #8
0
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()
Пример #9
0
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))
Пример #10
0
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))
Пример #11
0
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))
Пример #12
0
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))