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openreplay/ee/api/chalicelib/core/metrics.py
Kraiem Taha Yassine c2405dfbb3
Dev (#2727) 
* fix(chalice): fixed Math-operators validation
refactor(chalice): search for sessions that have events for heatmaps

* refactor(chalice): search for sessions that have at least 1 location event for heatmaps

* fix(chalice): fixed Math-operators validation
refactor(chalice): search for sessions that have events for heatmaps

* refactor(chalice): search for sessions that have at least 1 location event for heatmaps

* feat(chalice): autocomplete return top 10 with stats

* fix(chalice): fixed autocomplete top 10 meta-filters

* refactor(chalice): removed unused code
2024-11-06 17:24:03 +01:00

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import logging
from math import isnan
import schemas
from chalicelib.utils import ch_client
from chalicelib.utils import exp_ch_helper
from chalicelib.utils import helper
from chalicelib.utils.TimeUTC import TimeUTC
from chalicelib.utils.metrics_helper import __get_step_size
logger = logging.getLogger(__name__)
def __get_basic_constraints(table_name=None, time_constraint=True, round_start=False, data={}, identifier="project_id"):
if table_name:
table_name += "."
else:
table_name = ""
ch_sub_query = [f"{table_name}{identifier} =toUInt16(%({identifier})s)"]
if time_constraint:
if round_start:
ch_sub_query.append(
f"toStartOfInterval({table_name}datetime, INTERVAL %(step_size)s second) >= toDateTime(%(startTimestamp)s/1000)")
else:
ch_sub_query.append(f"{table_name}datetime >= toDateTime(%(startTimestamp)s/1000)")
ch_sub_query.append(f"{table_name}datetime < toDateTime(%(endTimestamp)s/1000)")
return ch_sub_query + __get_generic_constraint(data=data, table_name=table_name)
def __frange(start, stop, step):
result = []
i = start
while i < stop:
result.append(i)
i += step
return result
def __add_missing_keys(original, complete):
for missing in [key for key in complete.keys() if key not in original.keys()]:
original[missing] = complete[missing]
return original
def __complete_missing_steps(start_time, end_time, density, neutral, rows, time_key="timestamp", time_coefficient=1000):
if len(rows) == density:
return rows
step = __get_step_size(start_time, end_time, density, decimal=True)
optimal = [(int(i * time_coefficient), int((i + step) * time_coefficient)) for i in
__frange(start_time // time_coefficient, end_time // time_coefficient, step)]
result = []
r = 0
o = 0
for i in range(density):
neutral_clone = dict(neutral)
for k in neutral_clone.keys():
if callable(neutral_clone[k]):
neutral_clone[k] = neutral_clone[k]()
if r < len(rows) and len(result) + len(rows) - r == density:
result += rows[r:]
break
if r < len(rows) and o < len(optimal) and rows[r][time_key] < optimal[o][0]:
# complete missing keys in original object
rows[r] = __add_missing_keys(original=rows[r], complete=neutral_clone)
result.append(rows[r])
r += 1
elif r < len(rows) and o < len(optimal) and optimal[o][0] <= rows[r][time_key] < optimal[o][1]:
# complete missing keys in original object
rows[r] = __add_missing_keys(original=rows[r], complete=neutral_clone)
result.append(rows[r])
r += 1
o += 1
else:
neutral_clone[time_key] = optimal[o][0]
result.append(neutral_clone)
o += 1
# elif r < len(rows) and rows[r][time_key] >= optimal[o][1]:
# neutral_clone[time_key] = optimal[o][0]
# result.append(neutral_clone)
# o += 1
# else:
# neutral_clone[time_key] = optimal[o][0]
# result.append(neutral_clone)
# o += 1
return result
def __get_constraint(data, fields, table_name):
constraints = []
# for k in fields.keys():
for i, f in enumerate(data.get("filters", [])):
if f["key"] in fields.keys():
if f["value"] in ["*", ""]:
constraints.append(f"isNotNull({table_name}{fields[f['key']]})")
else:
constraints.append(f"{table_name}{fields[f['key']]} = %({f['key']}_{i})s")
# TODO: remove this in next release
offset = len(data.get("filters", []))
for i, f in enumerate(data.keys()):
if f in fields.keys():
if data[f] in ["*", ""]:
constraints.append(f"isNotNull({table_name}{fields[f]})")
else:
constraints.append(f"{table_name}{fields[f]} = %({f}_{i + offset})s")
return constraints
def __get_constraint_values(data):
params = {}
for i, f in enumerate(data.get("filters", [])):
params[f"{f['key']}_{i}"] = f["value"]
# TODO: remove this in next release
offset = len(data.get("filters", []))
for i, f in enumerate(data.keys()):
params[f"{f}_{i + offset}"] = data[f]
return params
METADATA_FIELDS = {"userId": "user_id",
"userAnonymousId": "user_anonymous_id",
"metadata1": "metadata_1",
"metadata2": "metadata_2",
"metadata3": "metadata_3",
"metadata4": "metadata_4",
"metadata5": "metadata_5",
"metadata6": "metadata_6",
"metadata7": "metadata_7",
"metadata8": "metadata_8",
"metadata9": "metadata_9",
"metadata10": "metadata_10"}
def __get_meta_constraint(data):
return __get_constraint(data=data, fields=METADATA_FIELDS, table_name="sessions_metadata.")
SESSIONS_META_FIELDS = {"revId": "rev_id",
"country": "user_country",
"os": "user_os",
"platform": "user_device_type",
"device": "user_device",
"browser": "user_browser"}
def __get_generic_constraint(data, table_name):
return __get_constraint(data=data, fields=SESSIONS_META_FIELDS, table_name=table_name)
def get_processed_sessions(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
endTimestamp=TimeUTC.now(),
density=7, **args):
step_size = __get_step_size(startTimestamp, endTimestamp, density)
ch_sub_query = __get_basic_constraints(table_name="sessions", data=args)
ch_sub_query_chart = __get_basic_constraints(table_name="sessions", round_start=True, data=args)
meta_condition = __get_meta_constraint(args)
ch_sub_query += meta_condition
ch_sub_query_chart += meta_condition
with ch_client.ClickHouseClient() as ch:
ch_query = f"""\
SELECT toUnixTimestamp(toStartOfInterval(sessions.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
COUNT(DISTINCT sessions.session_id) AS value
FROM {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions
WHERE {" AND ".join(ch_sub_query_chart)}
GROUP BY timestamp
ORDER BY timestamp;\
"""
params = {"step_size": step_size, "project_id": project_id, "startTimestamp": startTimestamp,
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
rows = ch.execute(query=ch_query, params=params)
results = {
"value": sum([r["value"] for r in rows]),
"chart": __complete_missing_steps(rows=rows, start_time=startTimestamp, end_time=endTimestamp,
density=density,
neutral={"value": 0})
}
diff = endTimestamp - startTimestamp
endTimestamp = startTimestamp
startTimestamp = endTimestamp - diff
ch_query = f""" SELECT COUNT(1) AS count
FROM {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions
WHERE {" AND ".join(ch_sub_query)};"""
params = {"project_id": project_id, "startTimestamp": startTimestamp, "endTimestamp": endTimestamp,
**__get_constraint_values(args)}
count = ch.execute(query=ch_query, params=params)
count = count[0]["count"]
results["progress"] = helper.__progress(old_val=count, new_val=results["value"])
results["unit"] = schemas.TemplatePredefinedUnits.COUNT
return results
def __get_domains_errors_neutral(rows):
neutral = {l: 0 for l in [i for k in [list(v.keys()) for v in rows] for i in k]}
if len(neutral.keys()) == 0:
neutral = {"All": 0}
return neutral
def __merge_rows_with_neutral(rows, neutral):
for i in range(len(rows)):
rows[i] = {**neutral, **rows[i]}
return rows
def __get_domains_errors_4xx_and_5xx(status, project_id, startTimestamp=TimeUTC.now(delta_days=-1),
endTimestamp=TimeUTC.now(), density=6, **args):
step_size = __get_step_size(startTimestamp, endTimestamp, density)
ch_sub_query = __get_basic_constraints(table_name="requests", round_start=True, data=args)
ch_sub_query.append("requests.event_type='REQUEST'")
ch_sub_query.append("intDiv(requests.status, 100) == %(status_code)s")
meta_condition = __get_meta_constraint(args)
ch_sub_query += meta_condition
with ch_client.ClickHouseClient() as ch:
ch_query = f"""SELECT timestamp,
groupArray([domain, toString(count)]) AS keys
FROM (SELECT toUnixTimestamp(toStartOfInterval(requests.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
requests.url_host AS domain, COUNT(1) AS count
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS requests
WHERE {" AND ".join(ch_sub_query)}
GROUP BY timestamp,requests.url_host
ORDER BY timestamp, count DESC
LIMIT 5 BY timestamp) AS domain_stats
GROUP BY timestamp;"""
params = {"project_id": project_id,
"startTimestamp": startTimestamp,
"endTimestamp": endTimestamp,
"step_size": step_size,
"status_code": status, **__get_constraint_values(args)}
rows = ch.execute(query=ch_query, params=params)
rows = __nested_array_to_dict_array(rows)
neutral = __get_domains_errors_neutral(rows)
rows = __merge_rows_with_neutral(rows, neutral)
return __complete_missing_steps(rows=rows, start_time=startTimestamp,
end_time=endTimestamp,
density=density, neutral=neutral)
def get_domains_errors_4xx(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
endTimestamp=TimeUTC.now(), density=6, **args):
return __get_domains_errors_4xx_and_5xx(status=4, project_id=project_id, startTimestamp=startTimestamp,
endTimestamp=endTimestamp, density=density, **args)
def get_domains_errors_5xx(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
endTimestamp=TimeUTC.now(), density=6, **args):
return __get_domains_errors_4xx_and_5xx(status=5, project_id=project_id, startTimestamp=startTimestamp,
endTimestamp=endTimestamp, density=density, **args)
def __nested_array_to_dict_array(rows):
for r in rows:
for i in range(len(r["keys"])):
r[r["keys"][i][0]] = int(r["keys"][i][1])
r.pop("keys")
return rows
def get_errors_per_domains(project_id, limit, page, startTimestamp=TimeUTC.now(delta_days=-1),
endTimestamp=TimeUTC.now(), **args):
ch_sub_query = __get_basic_constraints(table_name="requests", data=args)
ch_sub_query.append("requests.event_type = 'REQUEST'")
ch_sub_query.append("requests.success = 0")
meta_condition = __get_meta_constraint(args)
ch_sub_query += meta_condition
params = {"project_id": project_id,
"startTimestamp": startTimestamp,
"endTimestamp": endTimestamp,
**__get_constraint_values(args),
"limit_s": (page - 1) * limit,
"limit": limit}
with ch_client.ClickHouseClient() as ch:
ch_query = f"""SELECT
requests.url_host AS domain,
COUNT(1) AS errors_count,
COUNT(1) OVER () AS total,
SUM(errors_count) OVER () AS count
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS requests
WHERE {" AND ".join(ch_sub_query)}
GROUP BY requests.url_host
ORDER BY errors_count DESC
LIMIT %(limit)s OFFSET %(limit_s)s;"""
logger.debug("-----------")
logger.debug(ch.format(query=ch_query, params=params))
logger.debug("-----------")
rows = ch.execute(query=ch_query, params=params)
response = {"count": 0, "total": 0, "values": []}
if len(rows) > 0:
response["count"] = rows[0]["count"]
response["total"] = rows[0]["total"]
rows = helper.list_to_camel_case(rows)
for r in rows:
r.pop("count")
r.pop("total")
return response
def get_errors_per_type(project_id, startTimestamp=TimeUTC.now(delta_days=-1), endTimestamp=TimeUTC.now(),
platform=None, density=7, **args):
step_size = __get_step_size(startTimestamp, endTimestamp, density)
ch_sub_query_chart = __get_basic_constraints(table_name="events", round_start=True,
data=args)
ch_sub_query_chart.append("(events.event_type = 'REQUEST' OR events.event_type = 'ERROR')")
ch_sub_query_chart.append("(events.status>200 OR events.event_type = 'ERROR')")
meta_condition = __get_meta_constraint(args)
ch_sub_query_chart += meta_condition
with ch_client.ClickHouseClient() as ch:
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
SUM(events.event_type = 'REQUEST' AND intDiv(events.status, 100) == 4) AS _4xx,
SUM(events.event_type = 'REQUEST' AND intDiv(events.status, 100) == 5) AS _5xx,
SUM(events.event_type = 'ERROR' AND events.source == 'js_exception') AS js,
SUM(events.event_type = 'ERROR' AND events.source != 'js_exception') AS integrations
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS events
WHERE {" AND ".join(ch_sub_query_chart)}
GROUP BY timestamp
ORDER BY timestamp;"""
params = {"step_size": step_size,
"project_id": project_id,
"startTimestamp": startTimestamp,
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
# print(ch.format(query=ch_query, params=params))
rows = ch.execute(query=ch_query, params=params)
rows = helper.list_to_camel_case(rows)
return __complete_missing_steps(rows=rows, start_time=startTimestamp,
end_time=endTimestamp,
density=density,
neutral={"4xx": 0, "5xx": 0, "js": 0, "integrations": 0})
def get_impacted_sessions_by_js_errors(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
endTimestamp=TimeUTC.now(), density=7, **args):
step_size = __get_step_size(startTimestamp, endTimestamp, density)
ch_sub_query_chart = __get_basic_constraints(table_name="errors", round_start=True, data=args)
ch_sub_query_chart.append("errors.event_type='ERROR'")
ch_sub_query_chart.append("errors.source == 'js_exception'")
meta_condition = __get_meta_constraint(args)
ch_sub_query_chart += meta_condition
with ch_client.ClickHouseClient() as ch:
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(errors.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
COUNT(DISTINCT errors.session_id) AS sessions_count,
COUNT(DISTINCT errors.error_id) AS errors_count
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS errors
WHERE {" AND ".join(ch_sub_query_chart)}
GROUP BY timestamp
ORDER BY timestamp;;"""
rows = ch.execute(query=ch_query,
params={"step_size": step_size,
"project_id": project_id,
"startTimestamp": startTimestamp,
"endTimestamp": endTimestamp, **__get_constraint_values(args)})
ch_query = f"""SELECT COUNT(DISTINCT errors.session_id) AS sessions_count,
COUNT(DISTINCT errors.error_id) AS errors_count
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS errors
WHERE {" AND ".join(ch_sub_query_chart)};"""
counts = ch.execute(query=ch_query,
params={"step_size": step_size,
"project_id": project_id,
"startTimestamp": startTimestamp,
"endTimestamp": endTimestamp, **__get_constraint_values(args)})
return {"sessionsCount": counts[0]["sessions_count"],
"errorsCount": counts[0]["errors_count"],
"chart": helper.list_to_camel_case(__complete_missing_steps(rows=rows, start_time=startTimestamp,
end_time=endTimestamp,
density=density,
neutral={"sessions_count": 0,
"errors_count": 0}))}
def get_resources_by_party(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
endTimestamp=TimeUTC.now(), density=7, **args):
step_size = __get_step_size(startTimestamp, endTimestamp, density)
ch_sub_query = __get_basic_constraints(table_name="requests", round_start=True, data=args)
ch_sub_query.append("requests.event_type='REQUEST'")
ch_sub_query.append("requests.success = 0")
sch_sub_query = ["rs.project_id =toUInt16(%(project_id)s)", "rs.event_type='REQUEST'"]
meta_condition = __get_meta_constraint(args)
ch_sub_query += meta_condition
# sch_sub_query += meta_condition
with ch_client.ClickHouseClient() as ch:
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(sub_requests.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
SUM(first.url_host = sub_requests.url_host) AS first_party,
SUM(first.url_host != sub_requests.url_host) AS third_party
FROM
(
SELECT requests.datetime, requests.url_host
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS requests
WHERE {" AND ".join(ch_sub_query)}
) AS sub_requests
CROSS JOIN
(
SELECT
rs.url_host,
COUNT(1) AS count
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS rs
WHERE {" AND ".join(sch_sub_query)}
GROUP BY rs.url_host
ORDER BY count DESC
LIMIT 1
) AS first
GROUP BY timestamp
ORDER BY timestamp;"""
params = {"step_size": step_size,
"project_id": project_id,
"startTimestamp": startTimestamp,
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
# print(ch.format(query=ch_query, params=params))
rows = ch.execute(query=ch_query, params=params)
return helper.list_to_camel_case(__complete_missing_steps(rows=rows, start_time=startTimestamp,
end_time=endTimestamp,
density=density,
neutral={"first_party": 0,
"third_party": 0}))
def get_user_activity_avg_visited_pages(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
endTimestamp=TimeUTC.now(), **args):
results = {}
with ch_client.ClickHouseClient() as ch:
rows = __get_user_activity_avg_visited_pages(ch, project_id, startTimestamp, endTimestamp, **args)
if len(rows) > 0:
results = helper.dict_to_camel_case(rows[0])
for key in results:
if isnan(results[key]):
results[key] = 0
results["chart"] = __get_user_activity_avg_visited_pages_chart(ch, project_id, startTimestamp,
endTimestamp, **args)
diff = endTimestamp - startTimestamp
endTimestamp = startTimestamp
startTimestamp = endTimestamp - diff
rows = __get_user_activity_avg_visited_pages(ch, project_id, startTimestamp, endTimestamp, **args)
if len(rows) > 0:
previous = helper.dict_to_camel_case(rows[0])
results["progress"] = helper.__progress(old_val=previous["value"], new_val=results["value"])
results["unit"] = schemas.TemplatePredefinedUnits.COUNT
return results
def __get_user_activity_avg_visited_pages(ch, project_id, startTimestamp, endTimestamp, **args):
ch_sub_query = __get_basic_constraints(table_name="pages", data=args)
ch_sub_query.append("pages.event_type='LOCATION'")
meta_condition = __get_meta_constraint(args)
ch_sub_query += meta_condition
ch_query = f"""SELECT COALESCE(CEIL(avgOrNull(count)),0) AS value
FROM (SELECT COUNT(1) AS count
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
WHERE {" AND ".join(ch_sub_query)}
GROUP BY session_id) AS groupped_data
WHERE count>0;"""
params = {"project_id": project_id, "startTimestamp": startTimestamp, "endTimestamp": endTimestamp,
**__get_constraint_values(args)}
rows = ch.execute(query=ch_query, params=params)
return rows
def __get_user_activity_avg_visited_pages_chart(ch, project_id, startTimestamp, endTimestamp, density=20, **args):
step_size = __get_step_size(endTimestamp=endTimestamp, startTimestamp=startTimestamp, density=density)
ch_sub_query_chart = __get_basic_constraints(table_name="pages", round_start=True, data=args)
ch_sub_query_chart.append("pages.event_type='LOCATION'")
meta_condition = __get_meta_constraint(args)
ch_sub_query_chart += meta_condition
params = {"step_size": step_size, "project_id": project_id, "startTimestamp": startTimestamp,
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
ch_query = f"""SELECT timestamp, COALESCE(avgOrNull(count), 0) AS value
FROM (SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
session_id, COUNT(1) AS count
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
WHERE {" AND ".join(ch_sub_query_chart)}
GROUP BY timestamp,session_id
ORDER BY timestamp) AS groupped_data
WHERE count>0
GROUP BY timestamp
ORDER BY timestamp;"""
rows = ch.execute(query=ch_query, params=params)
rows = __complete_missing_steps(rows=rows, start_time=startTimestamp,
end_time=endTimestamp,
density=density, neutral={"value": 0})
return rows
def get_top_metrics_count_requests(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
endTimestamp=TimeUTC.now(), value=None, density=20, **args):
step_size = __get_step_size(endTimestamp=endTimestamp, startTimestamp=startTimestamp, density=density)
ch_sub_query_chart = __get_basic_constraints(table_name="pages", round_start=True, data=args)
ch_sub_query_chart.append("pages.event_type='LOCATION'")
meta_condition = __get_meta_constraint(args)
ch_sub_query_chart += meta_condition
ch_sub_query = __get_basic_constraints(table_name="pages", data=args)
ch_sub_query.append("pages.event_type='LOCATION'")
ch_sub_query += meta_condition
if value is not None:
ch_sub_query.append("pages.url_path = %(value)s")
ch_sub_query_chart.append("pages.url_path = %(value)s")
with ch_client.ClickHouseClient() as ch:
ch_query = f"""SELECT COUNT(1) AS value
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
WHERE {" AND ".join(ch_sub_query)};"""
params = {"step_size": step_size, "project_id": project_id,
"startTimestamp": startTimestamp,
"endTimestamp": endTimestamp,
"value": value, **__get_constraint_values(args)}
rows = ch.execute(query=ch_query, params=params)
result = rows[0]
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
COUNT(1) AS value
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
WHERE {" AND ".join(ch_sub_query_chart)}
GROUP BY timestamp
ORDER BY timestamp;"""
rows = ch.execute(query=ch_query, params={**params, **__get_constraint_values(args)})
rows = __complete_missing_steps(rows=rows, start_time=startTimestamp,
end_time=endTimestamp,
density=density, neutral={"value": 0})
result["chart"] = rows
result["unit"] = schemas.TemplatePredefinedUnits.COUNT
return helper.dict_to_camel_case(result)
def get_unique_users(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
endTimestamp=TimeUTC.now(),
density=7, **args):
step_size = __get_step_size(startTimestamp, endTimestamp, density)
ch_sub_query = __get_basic_constraints(table_name="sessions", data=args)
ch_sub_query_chart = __get_basic_constraints(table_name="sessions", round_start=True, data=args)
meta_condition = __get_meta_constraint(args)
ch_sub_query += meta_condition
ch_sub_query_chart += meta_condition
ch_sub_query_chart.append("isNotNull(sessions.user_id)")
ch_sub_query_chart.append("sessions.user_id!=''")
with ch_client.ClickHouseClient() as ch:
ch_query = f"""\
SELECT toUnixTimestamp(toStartOfInterval(sessions.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
COUNT(DISTINCT sessions.user_id) AS value
FROM {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions
WHERE {" AND ".join(ch_sub_query_chart)}
GROUP BY timestamp
ORDER BY timestamp;\
"""
params = {"step_size": step_size, "project_id": project_id, "startTimestamp": startTimestamp,
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
rows = ch.execute(query=ch_query, params=params)
results = {
"value": sum([r["value"] for r in rows]),
"chart": __complete_missing_steps(rows=rows, start_time=startTimestamp, end_time=endTimestamp,
density=density,
neutral={"value": 0})
}
diff = endTimestamp - startTimestamp
endTimestamp = startTimestamp
startTimestamp = endTimestamp - diff
ch_query = f""" SELECT COUNT(DISTINCT user_id) AS count
FROM {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions
WHERE {" AND ".join(ch_sub_query)};"""
params = {"project_id": project_id, "startTimestamp": startTimestamp, "endTimestamp": endTimestamp,
**__get_constraint_values(args)}
count = ch.execute(query=ch_query, params=params)
count = count[0]["count"]
results["progress"] = helper.__progress(old_val=count, new_val=results["value"])
results["unit"] = schemas.TemplatePredefinedUnits.COUNT
return results
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