def create_last_events():
view_name = "last_events"
return create_view(
view_name, """SELECT *
FROM first_seen_from_events f
JOIN events_all e
ON f.distinct_id = e.distinct_id
AND e."timestamp" - 2*60*60 < f.first_seen_ts
;
""")
def create_age_view():
view_name = "age_from_events"
return create_view(view_name, """
SELECT
f.distinct_id,
last_seen_ts - first_seen_ts as age_s,
ceil( (last_seen_ts::numeric - first_seen_ts::numeric)/(60*60*24))
as age_days
FROM first_seen_from_events f
JOIN last_seen_from_events l
ON f.distinct_id = l.distinct_id""")
def create_last_events():
view_name = "last_events"
return create_view(view_name,
"""SELECT *
FROM first_seen_from_events f
JOIN events_all e
ON f.distinct_id = e.distinct_id
AND e."timestamp" - 2*60*60 < f.first_seen_ts
;
""")
def create_age_view():
view_name = "age_from_events"
return create_view(
view_name, """
SELECT
f.distinct_id,
last_seen_ts - first_seen_ts as age_s,
ceil( (last_seen_ts::numeric - first_seen_ts::numeric)/(60*60*24))
as age_days
FROM first_seen_from_events f
JOIN last_seen_from_events l
ON f.distinct_id = l.distinct_id""")
def create_dates_during_users_life():
view_name = "dates_during_users_life"
return create_view(view_name, """
SELECT distinct_id, dates.date, dates.week
FROM dates
JOIN first_last_seen fl
ON
dates.date >=
DATE(TIMESTAMP 'epoch' + fl.first_seen_ts * INTERVAL '1 Second ')
AND
dates.date <=
DATE(TIMESTAMP 'epoch' + fl.last_seen_ts * INTERVAL '1 Second ')
""")
def create_dates_during_users_life():
view_name = "dates_during_users_life"
return create_view(
view_name, """
SELECT distinct_id, dates.date, dates.week
FROM dates
JOIN first_last_seen fl
ON
dates.date >=
DATE(TIMESTAMP 'epoch' + fl.first_seen_ts * INTERVAL '1 Second ')
AND
dates.date <=
DATE(TIMESTAMP 'epoch' + fl.last_seen_ts * INTERVAL '1 Second ')
""")
def cut_events_by_time(view_name, condition):
main_table = "e"
columns = get_all_columns_without_id("events_all")
col_sql = main_table + ".distinct_id, "
for col in columns:
col_sql += main_table + "." + "\"" + col + "\"" + ", "
col_sql = col_sql[:-2]
return create_view(
view_name, """SELECT """ + col_sql + """FROM first_seen_from_events f
JOIN events_all e
ON f.distinct_id = e.distinct_id
AND """ + condition + """
;
""")
def cut_events_by_time(view_name, condition):
main_table = "e"
columns = get_all_columns_without_id("events_all")
col_sql = main_table + ".distinct_id, "
for col in columns:
col_sql += main_table + "." + "\"" + col + "\"" + ", "
col_sql = col_sql[:-2]
return create_view(view_name,
"""SELECT """ + col_sql + """FROM first_seen_from_events f
JOIN events_all e
ON f.distinct_id = e.distinct_id
AND """ + condition + """
;
""")
def create_first_events():
'''
Needed in order to establish
what is a clean session and what is orphaned due to a bug
Note: in resulting table there will be many rows if
there are multiple events on first and last second
'''
view_name = "first_events"
return create_view(
view_name, """SELECT f.distinct_id, event_type as first_event_type,
"new user" as first_event_new_user,result as first_event_result
FROM first_seen_from_events f
JOIN events_all e
ON f.distinct_id = e.distinct_id
AND f.first_seen_ts = e."timestamp"
;
""")
def create_first_events():
'''
Needed in order to establish
what is a clean session and what is orphaned due to a bug
Note: in resulting table there will be many rows if
there are multiple events on first and last second
'''
view_name = "first_events"
return create_view(view_name,
"""SELECT f.distinct_id, event_type as first_event_type,
"new user" as first_event_new_user,result as first_event_result
FROM first_seen_from_events f
JOIN events_all e
ON f.distinct_id = e.distinct_id
AND f.first_seen_ts = e."timestamp"
;
""")
def create_users():
view_name = "users"
return create_view(view_name,
"""SELECT DISTINCT distinct_id, mp_country_code, "$region", "$city", "$email"
FROM events_all""")
def make_events_lower_case():
'''
redshift forces column and table names to be lower case
I want to create a table/column for every event type in the future
In order to not think about case when doing the lookup
I lowercase the event_types at the import stage here
'''
view_name = "events_all"
return create_view(view_name, """
SELECT
"Scene Card Title",
domain,
"channel type",
"$distinct_id",
"User Id",
type,
"Upper History Navigation",
"Author Name",
"Bookmark navigation",
"Operating System",
"Read Time",
"Gallery Object Type",
"$radio",
os_version,
"$app_release",
"Screen Width",
"$device",
"New User",
"Upper Browser",
"$ip",
"User Continued Authentication",
mp_device_model,
"Scene Title",
"$manufacturer",
"$os_version",
screen_width,
"URL",
"timestamp",
"$lib_version",
"Upper Channel Type",
"$carrier",
distinct_id,
"Topic ID",
"Account Created",
"$screen_width",
e,
recipient,
"AccountCreated",
mp_country_code,
"Story URL",
"Default Topic Title",
"Curator Name",
mp_lib,
"Menu Item",
"Bookmark Title",
n,
"Bookmark ID",
t,
referrer,
"$app_version",
"$browser",
"History navigation",
"Author2 Name",
browser,
"Number of Bookmarks",
delivery_id,
"Default Topic ID",
"$initial_referring_domain",
"Trial to Signup",
campaign_id,
"External Link",
"Scene ID",
"Source",
"$city",
"Bookmark Navigation Clicked",
"Curator ID", "OS Version",
"Story Read Time", category,
"$referrer",
"Author ID",
"Screen Height",
"Drop Down Follow Through",
"$os",
"Accepted",
message_id,
"Time Since Story Opened",
"User Created",
"$wifi",
"Scene Card ID",
"$ios_ifa",
"$email",
"$initial_referrer",
"Story ID",
"$referring_domain",
"Story Title",
"$screen_height",
a,
"Topic Title",
"Scene Card Number",
"$model",
"$region",
"Share Source",
message_type,
"Story Completion",
"Scene Cards",
"First Launch",
"Default Topic",
"Result",
"time",
"Message",
"Navigation Clicked",
os,
"Author2 ID",
screen_height,
v,
id,
LOWER(event_type) AS event_type
FROM raw_copy
WHERE "time" > '2015-01-15'
AND time < '2015-02-28 23:59:59'
""")
def create_clean_users():
'''
I only analyze sesssions where users have not signed up,
not logged in and not used any features that force a profile creation.
I am throwing away only 15k users signed up out of 300k.
only 2k of them logged in second time on the web.
Same 5% proportion among users with age > 10 days.
So assume that registration doesn't affect
whether this is a power user or not.
See cleaning_target.md
'''
view_name = "clean_users"
sql = """
SELECT u.* FROM users_all_features u
JOIN
(
SELECT DISTINCT distinct_id FROM users_first_last_events WHERE
first_event_type IN
(
'app viewed',
'app navigation clicked',
'story navigation clicked',
'story viewed',
'topic viewed',
'explore topic clicked',
'explore viewed',
'story completion'
)
AND last_event_type IN
(
'app viewed',
'app navigation clicked',
'story navigation clicked',
'story viewed',
'topic viewed',
'explore topic clicked',
'explore viewed',
'story completion'
) ) c
ON c.distinct_id = u.distinct_id
WHERE
onboard_viewed_total =0
AND onboard_navigation_total = 0
AND email_register_total = 0
AND login_result_total = 0
AND Bookmarks_Viewed_total = 0
AND bookmark_navigation_total =0
AND profile_viewed_total = 0
AND profile_page_viewed_total = 0
AND profile_navigation_clicked_total = 0
AND login_page_viewed_total = 0
AND login_viewed_total = 0
AND logging_in_user_id_total = 0
AND bookmark_viewed_total = 0
AND bookmark_story_total = 0
AND bookmark_remove_total = 0
AND forgot_password_page_viewed_total = 0
AND bookmark_navigation_total = 0
;"""
return create_view(view_name, sql)
def create_users_first_last_events():
view_name = "users_first_last_events"
tables = get_all_first_last_event_tables()
return create_view(view_name, aggregate_all_features(tables))
def create_users_first_last_events():
view_name = "users_first_last_events"
tables = get_all_first_last_event_tables()
return create_view(view_name, aggregate_all_features(tables))
def create_clean_users():
'''
I only analyze sesssions where users have not signed up,
not logged in and not used any features that force a profile creation.
I am throwing away only 15k users signed up out of 300k.
only 2k of them logged in second time on the web.
Same 5% proportion among users with age > 10 days.
So assume that registration doesn't affect
whether this is a power user or not.
See cleaning_target.md
'''
view_name = "clean_users"
sql = """
SELECT u.* FROM users_all_features u
JOIN
(
SELECT DISTINCT distinct_id FROM users_first_last_events WHERE
first_event_type IN
(
'app viewed',
'app navigation clicked',
'story navigation clicked',
'story viewed',
'topic viewed',
'explore topic clicked',
'explore viewed',
'story completion'
)
AND last_event_type IN
(
'app viewed',
'app navigation clicked',
'story navigation clicked',
'story viewed',
'topic viewed',
'explore topic clicked',
'explore viewed',
'story completion'
) ) c
ON c.distinct_id = u.distinct_id
WHERE
onboard_viewed_total =0
AND onboard_navigation_total = 0
AND email_register_total = 0
AND login_result_total = 0
AND Bookmarks_Viewed_total = 0
AND bookmark_navigation_total =0
AND profile_viewed_total = 0
AND profile_page_viewed_total = 0
AND profile_navigation_clicked_total = 0
AND login_page_viewed_total = 0
AND login_viewed_total = 0
AND logging_in_user_id_total = 0
AND bookmark_viewed_total = 0
AND bookmark_story_total = 0
AND bookmark_remove_total = 0
AND forgot_password_page_viewed_total = 0
AND bookmark_navigation_total = 0
;"""
return create_view(view_name, sql)
def make_events_lower_case():
'''
redshift forces column and table names to be lower case
I want to create a table/column for every event type in the future
In order to not think about case when doing the lookup
I lowercase the event_types at the import stage here
'''
view_name = "events_all"
return create_view(
view_name, """
SELECT
"Scene Card Title",
domain,
"channel type",
"$distinct_id",
"User Id",
type,
"Upper History Navigation",
"Author Name",
"Bookmark navigation",
"Operating System",
"Read Time",
"Gallery Object Type",
"$radio",
os_version,
"$app_release",
"Screen Width",
"$device",
"New User",
"Upper Browser",
"$ip",
"User Continued Authentication",
mp_device_model,
"Scene Title",
"$manufacturer",
"$os_version",
screen_width,
"URL",
"timestamp",
"$lib_version",
"Upper Channel Type",
"$carrier",
distinct_id,
"Topic ID",
"Account Created",
"$screen_width",
e,
recipient,
"AccountCreated",
mp_country_code,
"Story URL",
"Default Topic Title",
"Curator Name",
mp_lib,
"Menu Item",
"Bookmark Title",
n,
"Bookmark ID",
t,
referrer,
"$app_version",
"$browser",
"History navigation",
"Author2 Name",
browser,
"Number of Bookmarks",
delivery_id,
"Default Topic ID",
"$initial_referring_domain",
"Trial to Signup",
campaign_id,
"External Link",
"Scene ID",
"Source",
"$city",
"Bookmark Navigation Clicked",
"Curator ID", "OS Version",
"Story Read Time", category,
"$referrer",
"Author ID",
"Screen Height",
"Drop Down Follow Through",
"$os",
"Accepted",
message_id,
"Time Since Story Opened",
"User Created",
"$wifi",
"Scene Card ID",
"$ios_ifa",
"$email",
"$initial_referrer",
"Story ID",
"$referring_domain",
"Story Title",
"$screen_height",
a,
"Topic Title",
"Scene Card Number",
"$model",
"$region",
"Share Source",
message_type,
"Story Completion",
"Scene Cards",
"First Launch",
"Default Topic",
"Result",
"time",
"Message",
"Navigation Clicked",
os,
"Author2 ID",
screen_height,
v,
id,
LOWER(event_type) AS event_type
FROM raw_copy
WHERE "time" > '2015-01-15'
AND time < '2015-02-28 23:59:59'
""")
def createView():
"""Return true if view was created, else false, in JSON format"""
if create_view(session["user_id"], request.args.get("viewname")):
return jsonify(True)
else:
return jsonify(False)
def create_users():
view_name = "users"
return create_view(
view_name,
"""SELECT DISTINCT distinct_id, mp_country_code, "$region", "$city", "$email"
FROM events_all""")
