def topic_geo_tag_coverage(topics_id):
coverage = topic_tag_coverage(
topics_id,
tag_util.processed_by_cliff_tag_ids()) # this will respect filters
if coverage is None:
return jsonify({'status': 'Error', 'message': 'Invalid attempt'})
return jsonify(coverage)
def topic_geo_tag_coverage(topics_id):
coverage = topic_tag_coverage(
topics_id,
tag_util.CLIFF_CLAVIN_2_3_0_TAG_ID) # this will respect filters
if coverage is None:
return jsonify({'status': 'Error', 'message': 'Invalid attempt'})
return jsonify(coverage)
def topic_geo_tag_counts(topics_id):
timespans_id = request.args["timespanId"]
tags = _geo_tag_counts(user_mediacloud_key(), topics_id)
coverage = topic_tag_coverage(
topics_id,
tag_util.CLIFF_CLAVIN_2_3_0_TAG_ID) # this will respect filters
return jsonify({'results': tags, 'coverage': coverage['counts']})
def topic_nyt_tag_coverage(topics_id):
coverage = topic_tag_coverage(
topics_id,
tags_util.NYT_LABELER_1_0_0_TAG_ID) # this will respect filters
if coverage is None:
return jsonify({'status': 'Error', 'message': 'Invalid attempt'})
return jsonify(coverage)
def process_tags_for_coverage(topics_id, tag_counts):
coverage = topic_tag_coverage(topics_id, processed_by_cliff_tag_ids())
top_tag_counts = tag_counts[:DEFAULT_DISPLAY_AMOUNT]
for t in tag_counts: # add in pct to ALL counts, not top, so CSV download can include them
t['pct'] = float(t['count']) / float(coverage['counts']['count'])
data = {
'entities': top_tag_counts,
'coverage': coverage['counts'],
}
return data
def top_countries_coverage(topics_id):
num_countries = int(request.args['numCountries'])
tag_top_country_counts = get_top_countries_by_story_tag_counts(topics_id, num_countries)
# get the count for all stories tagged with these top country tags
tag_list = [i['tags_id'] for i in tag_top_country_counts]
query_country_tags = "({})".format(" ".join(map(str, tag_list)))
coverage = topic_tag_coverage(topics_id, query_country_tags) # gets count and total
if coverage is None:
return jsonify({'status': 'Error', 'message': 'Invalid attempt'})
return jsonify(coverage)
def nyt_theme_coverage(topics_id):
num_themes = int(request.args['numThemes'])
nyt_top_themes = get_top_themes_by_story_tag_counts(topics_id, num_themes)
tag_list = [i['tags_id'] for i in nyt_top_themes]
query_nyt_tags = "({})".format(" ".join(map(str, tag_list)))
coverage = topic_tag_coverage(topics_id,
query_nyt_tags) # gets count and total
if coverage is None:
return jsonify({'status': 'Error', 'message': 'Invalid attempt'})
return jsonify(coverage)
def process_tags_for_coverage(topics_id, tag_counts):
coverage = topic_tag_coverage(topics_id, processed_for_entities_tag_ids())
top_tag_counts = tag_counts[:DEFAULT_DISPLAY_AMOUNT]
for t in tag_counts: # add in pct to ALL counts, not top, so CSV download can include them
try:
t['pct'] = float(t['count']) / float(coverage['counts']['count'])
except ZeroDivisionError:
t['pct'] = 0
data = {
'entities': top_tag_counts,
'coverage': coverage['counts'],
}
return data
def nyt_theme_coverage(topics_id):
# grab the total stories
total_stories = topic_story_count(user_mediacloud_key(), topics_id)['count']
num_themes = int(request.args['numThemes'])
nyt_top_themes = get_top_themes_by_story_tag_counts(topics_id, num_themes)
tag_list = [i['tags_id'] for i in nyt_top_themes]
query_nyt_tags = "({})".format(" ".join(map(str, tag_list)))
coverage = topic_tag_coverage(topics_id, query_nyt_tags) # gets count and total
if coverage is None:
return jsonify({'status': 'Error', 'message': 'Invalid attempt'})
return jsonify(coverage)
def top_countries_coverage(topics_id):
num_countries = int(request.args['numCountries'])
tag_top_country_counts = get_top_countries_by_story_tag_counts(
topics_id, num_countries)
# get the count for all stories tagged with these top country tags
tag_list = [i['tags_id'] for i in tag_top_country_counts]
query_country_tags = "({})".format(" ".join(map(str, tag_list)))
coverage = topic_tag_coverage(topics_id,
query_country_tags) # gets count and total
if coverage is None:
return jsonify({'status': 'Error', 'message': 'Invalid attempt'})
return jsonify(coverage)
def topic_nyt_tag_coverage(topics_id):
coverage = topic_tag_coverage(topics_id, tags_util.NYT_LABELER_1_0_0_TAG_ID) # this will respect filters
if coverage is None:
return jsonify({'status': 'Error', 'message': 'Invalid attempt'})
return jsonify(coverage)
def topic_nyt_tag_counts(topics_id):
tags = _nyt_tag_counts(user_mediacloud_key(), topics_id)
coverage = topic_tag_coverage(
topics_id,
tags_util.NYT_LABELER_1_0_0_TAG_ID) # this will respect filters
return jsonify({'results': tags, 'coverage': coverage['counts']})
def topic_geo_tag_coverage(topics_id):
coverage = topic_tag_coverage(topics_id, tag_util.processed_for_entities_tag_ids()) # this will respect filters
if coverage is None:
return jsonify({'status': 'Error', 'message': 'Invalid attempt'})
return jsonify(coverage)
