932 lines
51 KiB
Python
932 lines
51 KiB
Python
from chalicelib.core import sessions_metas
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from chalicelib.utils import helper, dev
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from chalicelib.utils import pg_client
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from chalicelib.utils.TimeUTC import TimeUTC
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from chalicelib.utils.metrics_helper import __get_step_size
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import math
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from chalicelib.core.dashboard import __get_constraints, __get_constraint_values
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def __transform_journey(rows):
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nodes = []
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links = []
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for r in rows:
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source = r["source_event"][r["source_event"].index("_") + 1:]
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target = r["target_event"][r["target_event"].index("_") + 1:]
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if source not in nodes:
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nodes.append(source)
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if target not in nodes:
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nodes.append(target)
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links.append({"source": nodes.index(source), "target": nodes.index(target), "value": r["value"]})
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return {"nodes": nodes, "links": sorted(links, key=lambda x: x["value"], reverse=True)}
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JOURNEY_DEPTH = 5
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JOURNEY_TYPES = {
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"PAGES": {"table": "events.pages", "column": "base_path", "table_id": "message_id"},
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"CLICK": {"table": "events.clicks", "column": "label", "table_id": "message_id"},
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# "VIEW": {"table": "events_ios.views", "column": "name", "table_id": "seq_index"}, TODO: enable this for SAAS only
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"EVENT": {"table": "events_common.customs", "column": "name", "table_id": "seq_index"}
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}
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@dev.timed
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def journey(project_id, startTimestamp=TimeUTC.now(delta_days=-1), endTimestamp=TimeUTC.now(), filters=[], **args):
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pg_sub_query_subset = __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_start = None
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event_table = JOURNEY_TYPES["PAGES"]["table"]
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event_column = JOURNEY_TYPES["PAGES"]["column"]
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event_table_id = JOURNEY_TYPES["PAGES"]["table_id"]
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extra_values = {}
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for f in filters:
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if f["type"] == "START_POINT":
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event_start = f["value"]
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elif f["type"] == "EVENT_TYPE" and JOURNEY_TYPES.get(f["value"]):
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event_table = JOURNEY_TYPES[f["value"]]["table"]
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event_column = JOURNEY_TYPES[f["value"]]["column"]
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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_subset.append(f"sessions.user_id = %(user_id)s")
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extra_values["user_id"] = f["value"]
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with pg_client.PostgresClient() as cur:
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pg_query = f"""SELECT source_event,
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target_event,
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count(*) AS value
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FROM (SELECT event_number || '_' || value as target_event,
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LAG(event_number || '_' || value, 1) OVER ( PARTITION BY session_rank ) AS source_event
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FROM (SELECT value,
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session_rank,
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message_id,
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ROW_NUMBER() OVER ( PARTITION BY session_rank ORDER BY timestamp ) AS event_number
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{f"FROM (SELECT * FROM (SELECT *, MIN(mark) OVER ( PARTITION BY session_id , session_rank ORDER BY timestamp ) AS max FROM (SELECT *, CASE WHEN value = %(event_start)s THEN timestamp ELSE NULL END as mark"
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if event_start else ""}
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FROM (SELECT session_id,
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message_id,
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timestamp,
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value,
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SUM(new_session) OVER (ORDER BY session_id, timestamp) AS session_rank
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FROM (SELECT *,
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CASE
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WHEN source_timestamp IS NULL THEN 1
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ELSE 0 END AS new_session
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FROM (SELECT session_id,
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{event_table_id} AS message_id,
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timestamp,
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{event_column} AS value,
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LAG(timestamp)
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OVER (PARTITION BY session_id ORDER BY timestamp) AS source_timestamp
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FROM {event_table} INNER JOIN public.sessions USING (session_id)
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WHERE {" AND ".join(pg_sub_query_subset)}
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) AS related_events) AS ranked_events) AS processed
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{") AS marked) AS maxed WHERE timestamp >= max) AS filtered" if event_start else ""}
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) AS sorted_events
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WHERE event_number <= %(JOURNEY_DEPTH)s) AS final
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WHERE source_event IS NOT NULL
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and target_event IS NOT NULL
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GROUP BY source_event, target_event
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ORDER BY value DESC
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LIMIT 20;"""
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params = {"project_id": project_id, "startTimestamp": startTimestamp,
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"endTimestamp": endTimestamp, "event_start": event_start, "JOURNEY_DEPTH": JOURNEY_DEPTH,
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**__get_constraint_values(args), **extra_values}
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# print(cur.mogrify(pg_query, params))
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cur.execute(cur.mogrify(pg_query, params))
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rows = cur.fetchall()
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return __transform_journey(rows)
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def __compute_weekly_percentage(rows):
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if rows is None or len(rows) == 0:
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return rows
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t = -1
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for r in rows:
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if r["week"] == 0:
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t = r["usersCount"]
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r["percentage"] = r["usersCount"] / t
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return rows
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def __complete_retention(rows, start_date, end_date=None):
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if rows is None:
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return []
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max_week = 10
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for i in range(max_week):
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if end_date is not None and start_date + i * TimeUTC.MS_WEEK >= end_date:
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break
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neutral = {
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"firstConnexionWeek": start_date,
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"week": i,
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"usersCount": 0,
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"connectedUsers": [],
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"percentage": 0
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}
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if i < len(rows) \
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and i != rows[i]["week"]:
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rows.insert(i, neutral)
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elif i >= len(rows):
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rows.append(neutral)
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return rows
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def __complete_acquisition(rows, start_date, end_date=None):
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if rows is None:
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return []
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max_week = 10
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week = 0
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delta_date = 0
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while max_week > 0:
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start_date += TimeUTC.MS_WEEK
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if end_date is not None and start_date >= end_date:
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break
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delta = 0
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if delta_date + week >= len(rows) \
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or delta_date + week < len(rows) and rows[delta_date + week]["firstConnexionWeek"] > start_date:
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for i in range(max_week):
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if end_date is not None and start_date + i * TimeUTC.MS_WEEK >= end_date:
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break
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neutral = {
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"firstConnexionWeek": start_date,
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"week": i,
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"usersCount": 0,
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"connectedUsers": [],
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"percentage": 0
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}
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rows.insert(delta_date + week + i, neutral)
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delta = i
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else:
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for i in range(max_week):
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if end_date is not None and start_date + i * TimeUTC.MS_WEEK >= end_date:
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break
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neutral = {
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"firstConnexionWeek": start_date,
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"week": i,
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"usersCount": 0,
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"connectedUsers": [],
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"percentage": 0
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}
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if delta_date + week + i < len(rows) \
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and i != rows[delta_date + week + i]["week"]:
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rows.insert(delta_date + week + i, neutral)
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elif delta_date + week + i >= len(rows):
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rows.append(neutral)
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delta = i
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week += delta
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max_week -= 1
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delta_date += 1
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return rows
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@dev.timed
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def users_retention(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTimestamp=TimeUTC.now(), 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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pg_sub_query.append("user_id IS NOT NULL")
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pg_sub_query.append("DATE_TRUNC('week', to_timestamp(start_ts / 1000)) = to_timestamp(%(startTimestamp)s / 1000)")
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with pg_client.PostgresClient() as cur:
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pg_query = f"""SELECT FLOOR(DATE_PART('day', connexion_week - DATE_TRUNC('week', to_timestamp(%(startTimestamp)s / 1000)::timestamp)) / 7)::integer AS week,
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COUNT(DISTINCT connexions_list.user_id) AS users_count,
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ARRAY_AGG(DISTINCT connexions_list.user_id) AS connected_users
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FROM (SELECT DISTINCT user_id
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FROM sessions
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WHERE {" AND ".join(pg_sub_query)}
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AND DATE_PART('week', to_timestamp((sessions.start_ts - %(startTimestamp)s)/1000)) = 1
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AND NOT EXISTS((SELECT 1
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FROM sessions AS bsess
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WHERE bsess.start_ts < %(startTimestamp)s
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AND project_id = %(project_id)s
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AND bsess.user_id = sessions.user_id
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LIMIT 1))
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GROUP BY user_id) AS users_list
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LEFT JOIN LATERAL (SELECT DATE_TRUNC('week', to_timestamp(start_ts / 1000)::timestamp) AS connexion_week,
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user_id
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FROM sessions
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WHERE users_list.user_id = sessions.user_id
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AND %(startTimestamp)s <=sessions.start_ts
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AND sessions.project_id = %(project_id)s
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AND sessions.start_ts < (%(endTimestamp)s - 1)
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GROUP BY connexion_week, user_id
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) AS connexions_list ON (TRUE)
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GROUP BY week
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ORDER BY week;"""
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params = {"project_id": project_id, "startTimestamp": startTimestamp,
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"endTimestamp": endTimestamp, **__get_constraint_values(args)}
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print(cur.mogrify(pg_query, params))
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cur.execute(cur.mogrify(pg_query, params))
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rows = cur.fetchall()
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rows = __compute_weekly_percentage(helper.list_to_camel_case(rows))
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return {
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"startTimestamp": startTimestamp,
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"chart": __complete_retention(rows=rows, start_date=startTimestamp, end_date=TimeUTC.now())
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}
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@dev.timed
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def users_acquisition(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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pg_sub_query.append("user_id IS NOT NULL")
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with pg_client.PostgresClient() as cur:
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pg_query = f"""SELECT EXTRACT(EPOCH FROM first_connexion_week::date)::bigint*1000 AS first_connexion_week,
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FLOOR(DATE_PART('day', connexion_week - first_connexion_week) / 7)::integer AS week,
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COUNT(DISTINCT connexions_list.user_id) AS users_count,
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ARRAY_AGG(DISTINCT connexions_list.user_id) AS connected_users
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FROM (SELECT DISTINCT user_id, MIN(DATE_TRUNC('week', to_timestamp(start_ts / 1000))) AS first_connexion_week
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FROM sessions
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WHERE {" AND ".join(pg_sub_query)}
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AND NOT EXISTS((SELECT 1
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FROM sessions AS bsess
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WHERE bsess.start_ts<%(startTimestamp)s
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AND project_id = %(project_id)s
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AND bsess.user_id = sessions.user_id
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LIMIT 1))
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GROUP BY user_id) AS users_list
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LEFT JOIN LATERAL (SELECT DATE_TRUNC('week', to_timestamp(start_ts / 1000)::timestamp) AS connexion_week,
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user_id
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FROM sessions
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WHERE users_list.user_id = sessions.user_id
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AND first_connexion_week <=
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DATE_TRUNC('week', to_timestamp(sessions.start_ts / 1000)::timestamp)
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AND sessions.project_id = 1
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AND sessions.start_ts < (%(endTimestamp)s - 1)
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GROUP BY connexion_week, user_id) AS connexions_list ON (TRUE)
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GROUP BY first_connexion_week, week
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ORDER BY first_connexion_week, week;"""
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params = {"project_id": project_id, "startTimestamp": startTimestamp,
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"endTimestamp": endTimestamp, **__get_constraint_values(args)}
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print(cur.mogrify(pg_query, params))
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cur.execute(cur.mogrify(pg_query, params))
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rows = cur.fetchall()
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rows = __compute_weekly_percentage(helper.list_to_camel_case(rows))
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return {
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"startTimestamp": startTimestamp,
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"chart": __complete_acquisition(rows=rows, start_date=startTimestamp, end_date=TimeUTC.now())
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}
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@dev.timed
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def feature_retention(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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pg_sub_query.append("user_id IS NOT NULL")
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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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event_type = "PAGES"
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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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extra_values["user_id"] = f["value"]
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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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pg_sub_query.append(f"feature.{event_column} = %(value)s")
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with pg_client.PostgresClient() as cur:
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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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if len(event_value) > 2:
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pg_sub_query.append(f"length({event_column})>2")
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pg_query = f"""SELECT FLOOR(DATE_PART('day', connexion_week - to_timestamp(%(startTimestamp)s/1000)) / 7)::integer AS week,
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COUNT(DISTINCT connexions_list.user_id) AS users_count,
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ARRAY_AGG(DISTINCT connexions_list.user_id) AS connected_users
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FROM (SELECT DISTINCT user_id
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FROM sessions INNER JOIN {event_table} AS feature USING (session_id)
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WHERE {" AND ".join(pg_sub_query)}
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AND DATE_PART('week', to_timestamp((sessions.start_ts - %(startTimestamp)s)/1000)) = 1
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AND NOT EXISTS((SELECT 1
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FROM sessions AS bsess INNER JOIN {event_table} AS bfeature USING (session_id)
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WHERE bsess.start_ts<%(startTimestamp)s
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AND project_id = %(project_id)s
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AND bsess.user_id = sessions.user_id
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AND bfeature.timestamp<%(startTimestamp)s
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AND bfeature.{event_column}=%(value)s
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LIMIT 1))
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GROUP BY user_id) AS users_list
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LEFT JOIN LATERAL (SELECT DATE_TRUNC('week', to_timestamp(start_ts / 1000)::timestamp) AS connexion_week,
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user_id
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FROM sessions INNER JOIN {event_table} AS feature USING (session_id)
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WHERE users_list.user_id = sessions.user_id
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AND %(startTimestamp)s <= sessions.start_ts
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AND sessions.project_id = 1
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AND sessions.start_ts < (%(endTimestamp)s - 1)
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AND feature.timestamp >= %(startTimestamp)s
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AND feature.timestamp < %(endTimestamp)s
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AND feature.{event_column} = %(value)s
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GROUP BY connexion_week, user_id) AS connexions_list ON (TRUE)
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GROUP BY week
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ORDER BY week;"""
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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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cur.execute(cur.mogrify(pg_query, params))
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rows = cur.fetchall()
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rows = __compute_weekly_percentage(helper.list_to_camel_case(rows))
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return {
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"startTimestamp": startTimestamp,
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"filters": [{"type": "EVENT_TYPE", "value": event_type}, {"type": "EVENT_VALUE", "value": event_value}],
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"chart": __complete_retention(rows=rows, start_date=startTimestamp, end_date=TimeUTC.now())
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}
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@dev.timed
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def feature_acquisition(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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pg_sub_query.append("user_id IS NOT NULL")
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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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event_type = "PAGES"
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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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extra_values["user_id"] = f["value"]
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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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pg_sub_query.append(f"feature.{event_column} = %(value)s")
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|
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with pg_client.PostgresClient() as cur:
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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;"""
|
|
params = {"project_id": project_id, "startTimestamp": startTimestamp,
|
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"endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
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
|
|
if len(event_value) > 2:
|
|
pg_sub_query.append(f"length({event_column})>2")
|
|
pg_query = f"""SELECT EXTRACT(EPOCH FROM first_connexion_week::date)::bigint*1000 AS first_connexion_week,
|
|
FLOOR(DATE_PART('day', connexion_week - first_connexion_week) / 7)::integer AS week,
|
|
COUNT(DISTINCT connexions_list.user_id) AS users_count,
|
|
ARRAY_AGG(DISTINCT connexions_list.user_id) AS connected_users
|
|
FROM (SELECT user_id, DATE_TRUNC('week', to_timestamp(first_connexion_week / 1000)) AS first_connexion_week
|
|
FROM(SELECT DISTINCT user_id, MIN(start_ts) AS first_connexion_week
|
|
FROM sessions INNER JOIN {event_table} AS feature USING (session_id)
|
|
WHERE {" AND ".join(pg_sub_query)}
|
|
AND NOT EXISTS((SELECT 1
|
|
FROM sessions AS bsess INNER JOIN {event_table} AS bfeature USING (session_id)
|
|
WHERE bsess.start_ts<%(startTimestamp)s
|
|
AND project_id = %(project_id)s
|
|
AND bsess.user_id = sessions.user_id
|
|
AND bfeature.timestamp<%(startTimestamp)s
|
|
AND bfeature.{event_column}=%(value)s
|
|
LIMIT 1))
|
|
GROUP BY user_id) AS raw_users_list) AS users_list
|
|
LEFT JOIN LATERAL (SELECT DATE_TRUNC('week', to_timestamp(start_ts / 1000)::timestamp) AS connexion_week,
|
|
user_id
|
|
FROM sessions INNER JOIN {event_table} AS feature USING(session_id)
|
|
WHERE users_list.user_id = sessions.user_id
|
|
AND first_connexion_week <=
|
|
DATE_TRUNC('week', to_timestamp(sessions.start_ts / 1000)::timestamp)
|
|
AND sessions.project_id = %(project_id)s
|
|
AND sessions.start_ts < (%(endTimestamp)s - 1)
|
|
AND feature.timestamp >= %(startTimestamp)s
|
|
AND feature.timestamp < %(endTimestamp)s
|
|
AND feature.{event_column} = %(value)s
|
|
GROUP BY connexion_week, user_id) AS connexions_list ON (TRUE)
|
|
GROUP BY first_connexion_week, week
|
|
ORDER BY first_connexion_week, week;"""
|
|
|
|
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()
|
|
rows = __compute_weekly_percentage(helper.list_to_camel_case(rows))
|
|
return {
|
|
"startTimestamp": startTimestamp,
|
|
"filters": [{"type": "EVENT_TYPE", "value": event_type}, {"type": "EVENT_VALUE", "value": event_value}],
|
|
"chart": __complete_acquisition(rows=rows, start_date=startTimestamp, end_date=TimeUTC.now())
|
|
}
|
|
|
|
|
|
@dev.timed
|
|
def feature_popularity_frequency(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTimestamp=TimeUTC.now(),
|
|
filters=[],
|
|
**args):
|
|
startTimestamp = TimeUTC.trunc_week(startTimestamp)
|
|
endTimestamp = startTimestamp + 10 * TimeUTC.MS_WEEK
|
|
pg_sub_query = __get_constraints(project_id=project_id, data=args, duration=True, main_table="sessions",
|
|
time_constraint=True)
|
|
event_table = JOURNEY_TYPES["CLICK"]["table"]
|
|
event_column = JOURNEY_TYPES["CLICK"]["column"]
|
|
extra_values = {}
|
|
for f in filters:
|
|
if f["type"] == "EVENT_TYPE" and JOURNEY_TYPES.get(f["value"]):
|
|
event_table = JOURNEY_TYPES[f["value"]]["table"]
|
|
event_column = JOURNEY_TYPES[f["value"]]["column"]
|
|
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"]
|
|
|
|
with pg_client.PostgresClient() as cur:
|
|
pg_query = f"""SELECT COUNT(DISTINCT user_id) AS count
|
|
FROM sessions
|
|
WHERE {" AND ".join(pg_sub_query)}
|
|
AND user_id IS NOT NULL;"""
|
|
params = {"project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
|
|
# print(cur.mogrify(pg_query, params))
|
|
# print("---------------------")
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
all_user_count = cur.fetchone()["count"]
|
|
if all_user_count == 0:
|
|
return []
|
|
pg_sub_query.append("feature.timestamp >= %(startTimestamp)s")
|
|
pg_sub_query.append("feature.timestamp < %(endTimestamp)s")
|
|
pg_sub_query.append(f"length({event_column})>2")
|
|
pg_query = f"""SELECT {event_column} AS value, COUNT(DISTINCT user_id) AS count
|
|
FROM {event_table} AS feature INNER JOIN sessions USING (session_id)
|
|
WHERE {" AND ".join(pg_sub_query)}
|
|
AND user_id IS NOT NULL
|
|
GROUP BY value
|
|
ORDER BY count DESC
|
|
LIMIT 7;"""
|
|
# TODO: solve full scan
|
|
print(cur.mogrify(pg_query, params))
|
|
print("---------------------")
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
popularity = cur.fetchall()
|
|
pg_query = f"""SELECT {event_column} AS value, COUNT(session_id) AS count
|
|
FROM {event_table} AS feature INNER JOIN sessions USING (session_id)
|
|
WHERE {" AND ".join(pg_sub_query)}
|
|
GROUP BY value;"""
|
|
# TODO: solve full scan
|
|
print(cur.mogrify(pg_query, params))
|
|
print("---------------------")
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
frequencies = cur.fetchall()
|
|
total_usage = sum([f["count"] for f in frequencies])
|
|
frequencies = {f["value"]: f["count"] for f in frequencies}
|
|
for p in popularity:
|
|
p["popularity"] = p.pop("count") / all_user_count
|
|
p["frequency"] = frequencies[p["value"]] / total_usage
|
|
|
|
return popularity
|
|
|
|
|
|
@dev.timed
|
|
def feature_adoption(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)
|
|
event_type = "CLICK"
|
|
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"]
|
|
with pg_client.PostgresClient() as cur:
|
|
pg_query = f"""SELECT COUNT(DISTINCT user_id) AS count
|
|
FROM sessions
|
|
WHERE {" AND ".join(pg_sub_query)}
|
|
AND user_id IS NOT NULL;"""
|
|
params = {"project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
|
|
# print(cur.mogrify(pg_query, params))
|
|
# print("---------------------")
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
all_user_count = cur.fetchone()["count"]
|
|
if all_user_count == 0:
|
|
return {"adoption": 0, "target": 0, "filters": [{"type": "EVENT_TYPE", "value": event_type},
|
|
{"type": "EVENT_VALUE", "value": event_value}], }
|
|
pg_sub_query.append("feature.timestamp >= %(startTimestamp)s")
|
|
pg_sub_query.append("feature.timestamp < %(endTimestamp)s")
|
|
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
|
|
if len(event_value) > 2:
|
|
pg_sub_query.append(f"length({event_column})>2")
|
|
pg_sub_query.append(f"feature.{event_column} = %(value)s")
|
|
pg_query = f"""SELECT COUNT(DISTINCT user_id) AS count
|
|
FROM {event_table} AS feature INNER JOIN sessions USING (session_id)
|
|
WHERE {" AND ".join(pg_sub_query)}
|
|
AND user_id IS NOT NULL;"""
|
|
params = {"project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
|
|
# print(cur.mogrify(pg_query, params))
|
|
# print("---------------------")
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
adoption = cur.fetchone()["count"] / all_user_count
|
|
return {"target": all_user_count, "adoption": adoption,
|
|
"filters": [{"type": "EVENT_TYPE", "value": event_type}, {"type": "EVENT_VALUE", "value": event_value}]}
|
|
|
|
|
|
@dev.timed
|
|
def feature_adoption_top_users(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")
|
|
event_type = "CLICK"
|
|
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"]
|
|
with pg_client.PostgresClient() as cur:
|
|
pg_sub_query.append("feature.timestamp >= %(startTimestamp)s")
|
|
pg_sub_query.append("feature.timestamp < %(endTimestamp)s")
|
|
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
|
|
if len(event_value) > 2:
|
|
pg_sub_query.append(f"length({event_column})>2")
|
|
pg_sub_query.append(f"feature.{event_column} = %(value)s")
|
|
pg_query = f"""SELECT user_id, COUNT(DISTINCT session_id) AS count
|
|
FROM {event_table} AS feature
|
|
INNER JOIN sessions USING (session_id)
|
|
WHERE {" AND ".join(pg_sub_query)}
|
|
GROUP BY 1
|
|
ORDER BY 2 DESC
|
|
LIMIT 10;"""
|
|
params = {"project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
|
|
# print(cur.mogrify(pg_query, params))
|
|
# print("---------------------")
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
rows = cur.fetchall()
|
|
return {"users": helper.list_to_camel_case(rows),
|
|
"filters": [{"type": "EVENT_TYPE", "value": event_type}, {"type": "EVENT_VALUE", "value": event_value}]}
|
|
|
|
|
|
@dev.timed
|
|
def feature_adoption_daily_usage(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_chart = __get_constraints(project_id=project_id, time_constraint=True,
|
|
chart=True, data=args)
|
|
event_type = "CLICK"
|
|
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_chart.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"]
|
|
with pg_client.PostgresClient() as cur:
|
|
pg_sub_query_chart.append("feature.timestamp >= %(startTimestamp)s")
|
|
pg_sub_query_chart.append("feature.timestamp < %(endTimestamp)s")
|
|
pg_sub_query.append("feature.timestamp >= %(startTimestamp)s")
|
|
pg_sub_query.append("feature.timestamp < %(endTimestamp)s")
|
|
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)}
|
|
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
|
|
if len(event_value) > 2:
|
|
pg_sub_query.append(f"length({event_column})>2")
|
|
pg_sub_query_chart.append(f"feature.{event_column} = %(value)s")
|
|
pg_query = f"""SELECT generated_timestamp AS timestamp,
|
|
COALESCE(COUNT(session_id), 0) AS count
|
|
FROM generate_series(%(startTimestamp)s, %(endTimestamp)s, %(step_size)s) AS generated_timestamp
|
|
LEFT JOIN LATERAL ( SELECT DISTINCT session_id
|
|
FROM {event_table} AS feature INNER JOIN public.sessions USING (session_id)
|
|
WHERE {" AND ".join(pg_sub_query_chart)}
|
|
) AS users ON (TRUE)
|
|
GROUP BY generated_timestamp
|
|
ORDER BY generated_timestamp;"""
|
|
params = {"step_size": TimeUTC.MS_DAY, "project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
|
|
print(cur.mogrify(pg_query, params))
|
|
print("---------------------")
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
rows = cur.fetchall()
|
|
return {"users": helper.list_to_camel_case(rows),
|
|
"filters": [{"type": "EVENT_TYPE", "value": event_type}, {"type": "EVENT_VALUE", "value": event_value}]}
|
|
|
|
|
|
@dev.timed
|
|
def feature_intensity(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("feature.timestamp >= %(startTimestamp)s")
|
|
pg_sub_query.append("feature.timestamp < %(endTimestamp)s")
|
|
event_table = JOURNEY_TYPES["CLICK"]["table"]
|
|
event_column = JOURNEY_TYPES["CLICK"]["column"]
|
|
extra_values = {}
|
|
for f in filters:
|
|
if f["type"] == "EVENT_TYPE" and JOURNEY_TYPES.get(f["value"]):
|
|
event_table = JOURNEY_TYPES[f["value"]]["table"]
|
|
event_column = JOURNEY_TYPES[f["value"]]["column"]
|
|
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"]
|
|
pg_sub_query.append(f"length({event_column})>2")
|
|
with pg_client.PostgresClient() as cur:
|
|
pg_query = f"""SELECT {event_column} AS value, AVG(DISTINCT session_id) AS avg
|
|
FROM {event_table} AS feature INNER JOIN sessions USING (session_id)
|
|
WHERE {" AND ".join(pg_sub_query)}
|
|
GROUP BY value
|
|
ORDER BY avg DESC
|
|
LIMIT 7;"""
|
|
params = {"project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
|
|
# TODO: solve full scan issue
|
|
print(cur.mogrify(pg_query, params))
|
|
print("---------------------")
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
rows = cur.fetchall()
|
|
|
|
return rows
|
|
|
|
|
|
@dev.timed
|
|
def users_active(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTimestamp=TimeUTC.now(),
|
|
filters=[],
|
|
**args):
|
|
pg_sub_query_chart = __get_constraints(project_id=project_id, time_constraint=True,
|
|
chart=True, data=args)
|
|
|
|
pg_sub_query_chart.append("user_id IS NOT NULL")
|
|
period = "DAY"
|
|
extra_values = {}
|
|
for f in filters:
|
|
if f["type"] == "PERIOD" and f["value"] in ["DAY", "WEEK"]:
|
|
period = f["value"]
|
|
elif f["type"] in [sessions_metas.meta_type.USERID, sessions_metas.meta_type.USERID_IOS]:
|
|
pg_sub_query_chart.append(f"sessions.user_id = %(user_id)s")
|
|
extra_values["user_id"] = f["value"]
|
|
|
|
with pg_client.PostgresClient() as cur:
|
|
pg_query = f"""SELECT AVG(count) AS avg, JSONB_AGG(chart) AS chart
|
|
FROM (SELECT generated_timestamp AS timestamp,
|
|
COALESCE(COUNT(users), 0) AS count
|
|
FROM generate_series(%(startTimestamp)s, %(endTimestamp)s, %(step_size)s) AS generated_timestamp
|
|
LEFT JOIN LATERAL ( SELECT DISTINCT user_id
|
|
FROM public.sessions
|
|
WHERE {" AND ".join(pg_sub_query_chart)}
|
|
) AS users ON (TRUE)
|
|
GROUP BY generated_timestamp
|
|
ORDER BY generated_timestamp) AS chart;"""
|
|
params = {"step_size": TimeUTC.MS_DAY if period == "DAY" else TimeUTC.MS_WEEK,
|
|
"project_id": project_id,
|
|
"startTimestamp": TimeUTC.trunc_day(startTimestamp) if period == "DAY" else TimeUTC.trunc_week(
|
|
startTimestamp),
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args),
|
|
**extra_values}
|
|
# print(cur.mogrify(pg_query, params))
|
|
# print("---------------------")
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
row_users = cur.fetchone()
|
|
|
|
return row_users
|
|
|
|
|
|
@dev.timed
|
|
def users_power(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTimestamp=TimeUTC.now(),
|
|
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")
|
|
|
|
with pg_client.PostgresClient() as cur:
|
|
pg_query = f"""SELECT AVG(count) AS avg, JSONB_AGG(day_users_partition) AS partition
|
|
FROM (SELECT number_of_days, COUNT(user_id) AS count
|
|
FROM (SELECT user_id, COUNT(DISTINCT DATE_TRUNC('day', to_timestamp(start_ts / 1000))) AS number_of_days
|
|
FROM sessions
|
|
WHERE {" AND ".join(pg_sub_query)}
|
|
GROUP BY 1) AS users_connexions
|
|
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)}
|
|
# 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
|
|
if len(event_value) > 2:
|
|
pg_sub_query.append(f"length({event_column})>2")
|
|
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}],
|
|
"list": helper.list_to_camel_case(rows)
|
|
}
|
|
|
|
|
|
@dev.timed
|
|
def search(text, feature_type, project_id, platform=None):
|
|
if not feature_type:
|
|
resource_type = "ALL"
|
|
data = search(text=text, feature_type=resource_type, project_id=project_id, platform=platform)
|
|
return data
|
|
|
|
pg_sub_query = __get_constraints(project_id=project_id, time_constraint=True, duration=True,
|
|
data={} if platform is None else {"platform": platform})
|
|
|
|
params = {"startTimestamp": TimeUTC.now() - 2 * TimeUTC.MS_MONTH,
|
|
"endTimestamp": TimeUTC.now(),
|
|
"project_id": project_id,
|
|
"value": helper.string_to_sql_like(text.lower()),
|
|
"platform_0": platform}
|
|
if feature_type == "ALL":
|
|
with pg_client.PostgresClient() as cur:
|
|
sub_queries = []
|
|
for e in JOURNEY_TYPES:
|
|
sub_queries.append(f"""(SELECT DISTINCT {JOURNEY_TYPES[e]["column"]} AS value, '{e}' AS "type"
|
|
FROM {JOURNEY_TYPES[e]["table"]} INNER JOIN public.sessions USING(session_id)
|
|
WHERE {" AND ".join(pg_sub_query)} AND {JOURNEY_TYPES[e]["column"]} ILIKE %(value)s
|
|
LIMIT 10)""")
|
|
pg_query = "UNION ALL".join(sub_queries)
|
|
# print(cur.mogrify(pg_query, params))
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
rows = cur.fetchall()
|
|
elif JOURNEY_TYPES.get(feature_type) is not None:
|
|
with pg_client.PostgresClient() as cur:
|
|
pg_query = f"""SELECT DISTINCT {JOURNEY_TYPES[feature_type]["column"]} AS value, '{feature_type}' AS "type"
|
|
FROM {JOURNEY_TYPES[feature_type]["table"]} INNER JOIN public.sessions USING(session_id)
|
|
WHERE {" AND ".join(pg_sub_query)} AND {JOURNEY_TYPES[feature_type]["column"]} ILIKE %(value)s
|
|
LIMIT 10;"""
|
|
# print(cur.mogrify(pg_query, params))
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
rows = cur.fetchall()
|
|
else:
|
|
return []
|
|
return [helper.dict_to_camel_case(row) for row in rows]
|