def calculate_avg(self, filter: Filter, team: Team):
parsed_date_from, parsed_date_to, _ = parse_timestamps(filter, team.pk)
filters, params = parse_prop_clauses(
filter.properties, team.pk, filter_test_accounts=filter.filter_test_accounts
)
interval_notation = get_trunc_func_ch(filter.interval)
num_intervals, seconds_in_interval, _ = get_time_diff(
filter.interval or "day", filter.date_from, filter.date_to, team.pk
)
entity_conditions, entity_params = entity_query_conditions(filter, team)
if not entity_conditions:
entity_conditions = ["event != '$feature_flag_called'"] # default conditino
params = {**params, **entity_params}
entity_query = " OR ".join(entity_conditions)
avg_query = SESSIONS_NO_EVENTS_SQL.format(
team_id=team.pk,
date_from=parsed_date_from,
date_to=parsed_date_to,
filters=filters,
sessions_limit="",
entity_filter=f"AND ({entity_query})",
)
per_period_query = AVERAGE_PER_PERIOD_SQL.format(sessions=avg_query, interval=interval_notation)
null_sql = NULL_SQL.format(
date_to=filter.date_to.strftime("%Y-%m-%d 00:00:00"),
interval=interval_notation,
num_intervals=num_intervals,
seconds_in_interval=seconds_in_interval,
)
final_query = AVERAGE_SQL.format(sessions=per_period_query, null_sql=null_sql)
params = {**params, "team_id": team.pk}
response = sync_execute(final_query, params)
values = self.clean_values(filter, response)
time_series_data = append_data(values, interval=filter.interval, math=None)
scaled_data, _ = scale_time_series(time_series_data["data"])
time_series_data.update({"data": scaled_data})
# calculate average
total = sum(val[1] for val in values)
if total == 0:
return []
valid_days = sum(1 if val[1] else 0 for val in values)
overall_average = (total / valid_days) if valid_days else 0
result = self._format_avg(overall_average)
time_series_data.update(result)
return [time_series_data]
def calculate_avg(self, filter: Filter, team: Team):
# format default dates
if not filter._date_from:
filter._date_from = relative_date_parse("-7d")
if not filter._date_to:
filter._date_to = timezone.now()
parsed_date_from, parsed_date_to = parse_timestamps(filter)
filters, params = parse_prop_clauses("uuid", filter.properties, team)
interval_notation = get_interval_annotation_ch(filter.interval)
num_intervals, seconds_in_interval = get_time_diff(
filter.interval or "day", filter.date_from, filter.date_to)
avg_query = SESSIONS_NO_EVENTS_SQL.format(
team_id=team.pk,
date_from=parsed_date_from,
date_to=parsed_date_to,
filters="{}".format(filters) if filter.properties else "",
sessions_limit="",
)
per_period_query = AVERAGE_PER_PERIOD_SQL.format(
sessions=avg_query, interval=interval_notation)
null_sql = NULL_SQL.format(
date_to=(filter.date_to
or timezone.now()).strftime("%Y-%m-%d 00:00:00"),
interval=interval_notation,
num_intervals=num_intervals,
seconds_in_interval=seconds_in_interval,
)
final_query = AVERAGE_SQL.format(sessions=per_period_query,
null_sql=null_sql)
params = {**params, "team_id": team.pk}
response = sync_execute(final_query, params)
values = self.clean_values(filter, response)
time_series_data = append_data(values,
interval=filter.interval,
math=None)
# calculate average
total = sum(val[1] for val in values)
if total == 0:
return []
valid_days = sum(1 if val[1] else 0 for val in values)
overall_average = (total / valid_days) if valid_days else 0
result = self._format_avg(overall_average)
time_series_data.update(result)
return [time_series_data]