feat(api): insights users slipping

This commit is contained in:
Taha Yassine Kraiem 2021-09-24 18:51:14 +02:00
parent ff44fa2a8f
commit f23b273a70
2 changed files with 76 additions and 2 deletions

View file

@ -105,6 +105,16 @@ def get_users_power(projectId, context):
return {"data": insights.users_power(project_id=projectId, **{**data, **args})}
@app.route('/{projectId}/insights/users_slipping', methods=['GET', 'POST'])
def get_users_slipping(projectId, context):
data = app.current_request.json_body
if data is None:
data = {}
params = app.current_request.query_params
args = dashboard.dashboard_args(params)
return {"data": insights.users_slipping(project_id=projectId, **{**data, **args})}
#
#
# @app.route('/{projectId}/dashboard/{widget}/search', methods=['GET'])

View file

@ -567,7 +567,7 @@ def users_active(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTime
@dev.timed
def users_power(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTimestamp=TimeUTC.now(),
filters=[],**args):
filters=[], **args):
pg_sub_query = __get_constraints(project_id=project_id, time_constraint=True, chart=False, data=args)
pg_sub_query.append("user_id IS NOT NULL")
@ -581,10 +581,74 @@ def users_power(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTimes
GROUP BY number_of_days
ORDER BY number_of_days) AS day_users_partition;"""
params = {"project_id": project_id,
"startTimestamp": startTimestamp,"endTimestamp": endTimestamp, **__get_constraint_values(args)}
"startTimestamp": startTimestamp, "endTimestamp": endTimestamp, **__get_constraint_values(args)}
# print(cur.mogrify(pg_query, params))
# print("---------------------")
cur.execute(cur.mogrify(pg_query, params))
row_users = cur.fetchone()
return helper.dict_to_camel_case(row_users)
@dev.timed
def users_slipping(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTimestamp=TimeUTC.now(),
filters=[], **args):
pg_sub_query = __get_constraints(project_id=project_id, data=args, duration=True, main_table="sessions",
time_constraint=True)
pg_sub_query.append("user_id IS NOT NULL")
pg_sub_query.append("feature.timestamp >= %(startTimestamp)s")
pg_sub_query.append("feature.timestamp < %(endTimestamp)s")
event_type = "PAGES"
event_value = "/"
extra_values = {}
default = True
for f in filters:
if f["type"] == "EVENT_TYPE" and JOURNEY_TYPES.get(f["value"]):
event_type = f["value"]
elif f["type"] == "EVENT_VALUE":
event_value = f["value"]
default = False
elif f["type"] in [sessions_metas.meta_type.USERID, sessions_metas.meta_type.USERID_IOS]:
pg_sub_query.append(f"sessions.user_id = %(user_id)s")
extra_values["user_id"] = f["value"]
event_table = JOURNEY_TYPES[event_type]["table"]
event_column = JOURNEY_TYPES[event_type]["column"]
pg_sub_query.append(f"feature.{event_column} = %(value)s")
with pg_client.PostgresClient() as cur:
if default:
# get most used value
pg_query = f"""SELECT {event_column} AS value, COUNT(*) AS count
FROM {event_table} AS feature INNER JOIN public.sessions USING (session_id)
WHERE {" AND ".join(pg_sub_query[:-1])}
AND length({event_column}) > 2
GROUP BY value
ORDER BY count DESC
LIMIT 1;"""
params = {"project_id": project_id, "startTimestamp": startTimestamp,
"endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
cur.execute(cur.mogrify(pg_query, params))
row = cur.fetchone()
if row is not None:
event_value = row["value"]
extra_values["value"] = event_value
pg_query = f"""SELECT user_id, last_time,interactions_count, MIN(start_ts) AS first_seen, MAX(start_ts) AS last_seen
FROM (SELECT user_id, MAX(timestamp) AS last_time, COUNT(DISTINCT session_id) AS interactions_count
FROM {event_table} AS feature INNER JOIN sessions USING (session_id)
WHERE {" AND ".join(pg_sub_query)}
GROUP BY user_id) AS user_last_usage
INNER JOIN sessions USING (user_id)
WHERE EXTRACT(EPOCH FROM now()) * 1000 - last_time > 7 * 24 * 60 * 60 * 1000
GROUP BY user_id, last_time,interactions_count;"""
params = {"project_id": project_id, "startTimestamp": startTimestamp,
"endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
# print(cur.mogrify(pg_query, params))
cur.execute(cur.mogrify(pg_query, params))
rows = cur.fetchall()
return {
"startTimestamp": startTimestamp,
"filters": [{"type": "EVENT_TYPE", "value": event_type}, {"type": "EVENT_VALUE", "value": event_value}],
"chart": helper.list_to_camel_case(rows)
}