def get_interval_topics(interval):
"""
:param interval:
:return: List of topics that were monitored during interval as JSON response.
"""
topics = data.get_interval_topics(data.parse_interval_string(interval))
return jsonify({"topics": topics})
def get_topic_interval_location_data(topic_id, interval, location_id):
"""
:param topic_id:
:param interval:
:param location_id:
:return: Local sentiment and popularity of topic in interval for specific region as CSV response.
"""
summary = data.get_topic_interval_location_data(
topic_id, data.parse_interval_string(interval), location_id)
return jsonify({"data": summary.get_dict()})
def get_interval_topics_details(interval):
"""
:param interval:
:return: Popularity and overall sentiment of all topics in interval as a CSV response.
"""
topics_details = data.get_interval_topics_details(
data.parse_interval_string(interval))
data_array = [("TOPIC", "TOPIC", "Popularity", "Overall_sentiment", "Positive_ratio", "Average_sentiment")] + \
[(topic, topic, summary.popularity, summary.get_overall_sentiment(),
summary.get_positive_ratio(), summary.average_sentiment)
for topic, summary in topics_details.items()]
return output_csv_file("data.csv", data_array)
def get_topic_interval_data(topic_id, interval):
"""
:param topic_id:
:param interval:
:return: Local sentiment and popularity of topic in interval for each region as a CSV response.
"""
topic_interval_data = data.get_topic_interval_data_per_region(
topic_id, data.parse_interval_string(interval))
data_array = [[
"Region_ID", "Popularity", "Average_sentiment", "Overall_sentiment"
]]
for region, summary in topic_interval_data.items():
data_array.append([
region, summary.popularity, summary.average_sentiment,
summary.get_overall_sentiment()
])
return output_csv_file("{}.csv".format(interval), data_array)
def download_tweets_for_interval(interval):
tweets = data.get_tweets_in_interval(data.parse_interval_string(interval))
return jsonify([tweet.get_full_dict() for tweet in tweets])