feat(api): insights feature adoption top user
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2 changed files with 69 additions and 2 deletions
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@ -105,6 +105,16 @@ def get_feature_adoption(projectId, context):
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return {"data": insights.feature_adoption(project_id=projectId, **{**data, **args})}
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@app.route('/{projectId}/insights/feature_adoption_top_users', methods=['GET', 'POST'])
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def get_feature_adoption(projectId, context):
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data = app.current_request.json_body
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if data is None:
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data = {}
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params = app.current_request.query_params
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args = dashboard.dashboard_args(params)
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return {"data": insights.feature_adoption_top_users(project_id=projectId, **{**data, **args})}
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@app.route('/{projectId}/insights/users_active', methods=['GET', 'POST'])
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def get_users_active(projectId, context):
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@ -530,8 +530,6 @@ def feature_popularity_frequency(project_id, startTimestamp=TimeUTC.now(delta_da
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def feature_adoption(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTimestamp=TimeUTC.now(),
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filters=[],
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**args):
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startTimestamp = TimeUTC.trunc_week(startTimestamp)
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endTimestamp = startTimestamp + 10 * TimeUTC.MS_WEEK
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pg_sub_query = __get_constraints(project_id=project_id, data=args, duration=True, main_table="sessions",
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time_constraint=True)
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event_type = "CLICK"
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@ -596,6 +594,65 @@ def feature_adoption(project_id, startTimestamp=TimeUTC.now(delta_days=-70), end
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"filters": [{"type": "EVENT_TYPE", "value": event_type}, {"type": "EVENT_VALUE", "value": event_value}]}
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@dev.timed
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def feature_adoption_top_users(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTimestamp=TimeUTC.now(),
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filters=[],
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**args):
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pg_sub_query = __get_constraints(project_id=project_id, data=args, duration=True, main_table="sessions",
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time_constraint=True)
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pg_sub_query.append("user_id IS NOT NULL")
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event_type = "CLICK"
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event_value = '/'
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extra_values = {}
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default = True
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for f in filters:
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if f["type"] == "EVENT_TYPE" and JOURNEY_TYPES.get(f["value"]):
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event_type = f["value"]
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elif f["type"] == "EVENT_VALUE":
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event_value = f["value"]
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default = False
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elif f["type"] in [sessions_metas.meta_type.USERID, sessions_metas.meta_type.USERID_IOS]:
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pg_sub_query.append(f"sessions.user_id = %(user_id)s")
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event_table = JOURNEY_TYPES[event_type]["table"]
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event_column = JOURNEY_TYPES[event_type]["column"]
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with pg_client.PostgresClient() as cur:
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pg_sub_query.append("feature.timestamp >= %(startTimestamp)s")
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pg_sub_query.append("feature.timestamp < %(endTimestamp)s")
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pg_sub_query.append(f"length({event_column})>2")
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if default:
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# get most used value
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pg_query = f"""SELECT {event_column} AS value, COUNT(*) AS count
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FROM {event_table} AS feature INNER JOIN public.sessions USING (session_id)
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WHERE {" AND ".join(pg_sub_query[:-1])}
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AND length({event_column}) > 2
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GROUP BY value
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ORDER BY count DESC
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LIMIT 1;"""
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params = {"project_id": project_id, "startTimestamp": startTimestamp,
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"endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
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cur.execute(cur.mogrify(pg_query, params))
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row = cur.fetchone()
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if row is not None:
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event_value = row["value"]
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extra_values["value"] = event_value
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pg_sub_query.append(f"feature.{event_column} = %(value)s")
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pg_query = f"""SELECT user_id, COUNT(DISTINCT session_id) AS count
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FROM {event_table} AS feature
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INNER JOIN sessions USING (session_id)
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WHERE {" AND ".join(pg_sub_query)}
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GROUP BY 1
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ORDER BY 2 DESC
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LIMIT 10;"""
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params = {"project_id": project_id, "startTimestamp": startTimestamp,
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"endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
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# print(cur.mogrify(pg_query, params))
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# print("---------------------")
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cur.execute(cur.mogrify(pg_query, params))
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rows = cur.fetchall()
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return {"users": helper.list_to_camel_case(rows),
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"filters": [{"type": "EVENT_TYPE", "value": event_type}, {"type": "EVENT_VALUE", "value": event_value}]}
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@dev.timed
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def feature_intensity(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTimestamp=TimeUTC.now(),
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filters=[],
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