def generate_graph_data_for_day(coll_name, day, next_day_start, writer):
coll = topics_db[coll_name]
lower = get_datetime_from_string(day, DAY_START)
upper = lower + APPROXIMATION_RANGE
while upper <= next_day_start:
tweet_count = coll.find({TIMESTAMP: {GREATER_THAN_OR_EQUAL: lower, LESS_THAN: upper}}).count()
make_entry(writer, lower, tweet_count * 100)
lower += APPROXIMATION_RANGE
upper += APPROXIMATION_RANGE
def generate_graph_data(tid):
writer = init_writer(tid)
day = START_DATE
day = localize_datetime(day)
coll_name = TOPIC_COLLECTION_NAME(tid)
next_day = get_next_day(day)
next_day_start = get_datetime_from_string(next_day, DAY_START)
generate_graph_data_for_day(coll_name, day, next_day_start, writer)
close_writer(writer)
def generate_graph_data(tid):
writer = init_writer(tid)
day = START_DATE
day = localize_datetime(day)
coll_name = TOPIC_COLLECTION_NAME(tid)
next_day = get_next_day(day)
next_day_start = get_datetime_from_string(next_day, DAY_START)
generate_graph_data_for_day(coll_name, day, next_day_start, writer)
close_writer(writer)
def generate_graph_data_for_day(coll_name, day, next_day_start, writer):
coll = topics_db[coll_name]
lower = get_datetime_from_string(day, DAY_START)
upper = lower + APPROXIMATION_RANGE
while upper <= next_day_start:
tweet_count = coll.find({
TIMESTAMP: {
GREATER_THAN_OR_EQUAL: lower,
LESS_THAN: upper
}
}).count()
make_entry(writer, lower, tweet_count * 100)
lower += APPROXIMATION_RANGE
upper += APPROXIMATION_RANGE
