1b748293d5
* 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 * feat(chalice): new webVital speed index by location
624 lines
35 KiB
Python
624 lines
35 KiB
Python
import logging
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import schemas
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from chalicelib.core import metadata
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from chalicelib.utils import helper
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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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logger = logging.getLogger(__name__)
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def __get_constraints(project_id, time_constraint=True, chart=False, duration=True, project=True,
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project_identifier="project_id",
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main_table="sessions", time_column="start_ts", data={}):
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pg_sub_query = []
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main_table = main_table + "." if main_table is not None and len(main_table) > 0 else ""
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if project:
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pg_sub_query.append(f"{main_table}{project_identifier} =%({project_identifier})s")
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if duration:
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pg_sub_query.append(f"{main_table}duration>0")
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if time_constraint:
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pg_sub_query.append(f"{main_table}{time_column} >= %(startTimestamp)s")
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pg_sub_query.append(f"{main_table}{time_column} < %(endTimestamp)s")
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if chart:
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pg_sub_query.append(f"{main_table}{time_column} >= generated_timestamp")
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pg_sub_query.append(f"{main_table}{time_column} < generated_timestamp + %(step_size)s")
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return pg_sub_query + __get_meta_constraint(project_id=project_id, data=data)
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def __merge_charts(list1, list2, time_key="timestamp"):
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if len(list1) != len(list2):
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raise Exception("cannot merge unequal lists")
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result = []
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for i in range(len(list1)):
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timestamp = min(list1[i][time_key], list2[i][time_key])
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result.append({**list1[i], **list2[i], time_key: timestamp})
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return result
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def __get_constraint_values(data):
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params = {}
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for i, f in enumerate(data.get("filters", [])):
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params[f"{f['key']}_{i}"] = f["value"]
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return params
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def __get_meta_constraint(project_id, data):
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if len(data.get("filters", [])) == 0:
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return []
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constraints = []
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meta_keys = metadata.get(project_id=project_id)
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meta_keys = {m["key"]: m["index"] for m in meta_keys}
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for i, f in enumerate(data.get("filters", [])):
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if f["key"] in meta_keys.keys():
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key = f"sessions.metadata_{meta_keys[f['key']]})"
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if f["value"] in ["*", ""]:
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constraints.append(f"{key} IS NOT NULL")
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else:
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constraints.append(f"{key} = %({f['key']}_{i})s")
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else:
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filter_type = f["key"].upper()
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filter_type = [filter_type, "USER" + filter_type, filter_type[4:]]
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if any(item in [schemas.FilterType.USER_BROWSER] \
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for item in filter_type):
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constraints.append(f"sessions.user_browser = %({f['key']}_{i})s")
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elif any(item in [schemas.FilterType.USER_OS, schemas.FilterType.USER_OS_MOBILE] \
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for item in filter_type):
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constraints.append(f"sessions.user_os = %({f['key']}_{i})s")
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elif any(item in [schemas.FilterType.USER_DEVICE, schemas.FilterType.USER_DEVICE_MOBILE] \
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for item in filter_type):
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constraints.append(f"sessions.user_device = %({f['key']}_{i})s")
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elif any(item in [schemas.FilterType.USER_COUNTRY, schemas.FilterType.USER_COUNTRY_MOBILE] \
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for item in filter_type):
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constraints.append(f"sessions.user_country = %({f['key']}_{i})s")
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elif any(item in [schemas.FilterType.USER_ID, schemas.FilterType.USER_ID_MOBILE] \
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for item in filter_type):
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constraints.append(f"sessions.user_id = %({f['key']}_{i})s")
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elif any(item in [schemas.FilterType.USER_ANONYMOUS_ID, schemas.FilterType.USER_ANONYMOUS_ID_MOBILE] \
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for item in filter_type):
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constraints.append(f"sessions.user_anonymous_id = %({f['key']}_{i})s")
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elif any(item in [schemas.FilterType.REV_ID, schemas.FilterType.REV_ID_MOBILE] \
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for item in filter_type):
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constraints.append(f"sessions.rev_id = %({f['key']}_{i})s")
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return constraints
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def get_processed_sessions(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
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endTimestamp=TimeUTC.now(),
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density=7, **args):
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step_size = __get_step_size(startTimestamp, endTimestamp, density, factor=1)
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pg_sub_query = __get_constraints(project_id=project_id, data=args)
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pg_sub_query_chart = __get_constraints(project_id=project_id, time_constraint=True,
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chart=True, data=args)
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with pg_client.PostgresClient() as cur:
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pg_query = f"""SELECT generated_timestamp AS timestamp,
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COALESCE(COUNT(sessions), 0) AS value
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FROM generate_series(%(startTimestamp)s, %(endTimestamp)s, %(step_size)s) AS generated_timestamp
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LEFT JOIN LATERAL ( SELECT 1
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FROM public.sessions
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WHERE {" AND ".join(pg_sub_query_chart)}
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) AS sessions ON (TRUE)
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GROUP BY generated_timestamp
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ORDER BY generated_timestamp;"""
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params = {"step_size": step_size, "project_id": project_id, "startTimestamp": startTimestamp,
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"endTimestamp": endTimestamp, **__get_constraint_values(args)}
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cur.execute(cur.mogrify(pg_query, params))
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rows = cur.fetchall()
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results = {
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"value": sum([r["value"] for r in rows]),
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"chart": rows
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}
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diff = endTimestamp - startTimestamp
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endTimestamp = startTimestamp
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startTimestamp = endTimestamp - diff
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pg_query = f"""SELECT COUNT(sessions.session_id) AS count
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FROM public.sessions
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WHERE {" AND ".join(pg_sub_query)};"""
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params = {"project_id": project_id, "startTimestamp": startTimestamp, "endTimestamp": endTimestamp,
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**__get_constraint_values(args)}
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cur.execute(cur.mogrify(pg_query, params))
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count = cur.fetchone()["count"]
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results["progress"] = helper.__progress(old_val=count, new_val=results["value"])
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results["unit"] = schemas.TemplatePredefinedUnits.COUNT
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return results
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def __get_neutral(rows, add_All_if_empty=True):
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neutral = {l: 0 for l in [i for k in [list(v.keys()) for v in rows] for i in k]}
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if add_All_if_empty and len(neutral.keys()) <= 1:
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neutral = {"All": 0}
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return neutral
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def __merge_rows_with_neutral(rows, neutral):
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for i in range(len(rows)):
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rows[i] = {**neutral, **rows[i]}
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return rows
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def __get_domains_errors_4xx_and_5xx(status, project_id, startTimestamp=TimeUTC.now(delta_days=-1),
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endTimestamp=TimeUTC.now(), density=6, **args):
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step_size = __get_step_size(startTimestamp, endTimestamp, density, factor=1)
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pg_sub_query_subset = __get_constraints(project_id=project_id, time_constraint=True, chart=False, data=args)
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pg_sub_query_chart = __get_constraints(project_id=project_id, time_constraint=False, chart=True,
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data=args, main_table="requests", time_column="timestamp", project=False,
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duration=False)
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pg_sub_query_subset.append("requests.status_code/100 = %(status_code)s")
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with pg_client.PostgresClient() as cur:
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pg_query = f"""WITH requests AS (SELECT host, timestamp
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FROM events_common.requests INNER JOIN public.sessions USING (session_id)
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WHERE {" AND ".join(pg_sub_query_subset)}
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)
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SELECT generated_timestamp AS timestamp,
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COALESCE(JSONB_AGG(requests) FILTER ( WHERE requests IS NOT NULL ), '[]'::JSONB) AS keys
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FROM generate_series(%(startTimestamp)s, %(endTimestamp)s, %(step_size)s) AS generated_timestamp
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LEFT JOIN LATERAL ( SELECT requests.host, COUNT(*) AS count
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FROM requests
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WHERE {" AND ".join(pg_sub_query_chart)}
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GROUP BY host
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ORDER BY count DESC
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LIMIT 5
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) AS requests ON (TRUE)
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GROUP BY generated_timestamp
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ORDER BY generated_timestamp;"""
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params = {"project_id": project_id,
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"startTimestamp": startTimestamp,
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"endTimestamp": endTimestamp,
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"step_size": step_size,
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"status_code": status, **__get_constraint_values(args)}
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cur.execute(cur.mogrify(pg_query, params))
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rows = cur.fetchall()
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rows = __nested_array_to_dict_array(rows, key="host")
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neutral = __get_neutral(rows)
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rows = __merge_rows_with_neutral(rows, neutral)
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return rows
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def get_domains_errors_4xx(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
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endTimestamp=TimeUTC.now(), density=6, **args):
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return __get_domains_errors_4xx_and_5xx(status=4, project_id=project_id, startTimestamp=startTimestamp,
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endTimestamp=endTimestamp, density=density, **args)
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def get_domains_errors_5xx(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
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endTimestamp=TimeUTC.now(), density=6, **args):
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return __get_domains_errors_4xx_and_5xx(status=5, project_id=project_id, startTimestamp=startTimestamp,
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endTimestamp=endTimestamp, density=density, **args)
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def __nested_array_to_dict_array(rows, key="url_host", value="count"):
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for r in rows:
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for i in range(len(r["keys"])):
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r[r["keys"][i][key]] = r["keys"][i][value]
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r.pop("keys")
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return rows
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def get_errors_per_domains(project_id, limit, page, startTimestamp=TimeUTC.now(delta_days=-1),
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endTimestamp=TimeUTC.now(), **args):
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pg_sub_query = __get_constraints(project_id=project_id, data=args)
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pg_sub_query.append("requests.success = FALSE")
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params = {"project_id": project_id,
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"startTimestamp": startTimestamp,
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"endTimestamp": endTimestamp,
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"limit_s": (page - 1) * limit,
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"limit_e": page * limit,
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**__get_constraint_values(args)}
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with pg_client.PostgresClient() as cur:
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pg_query = f"""SELECT COALESCE(SUM(errors_count),0)::INT AS count,
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COUNT(raw.domain) AS total,
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jsonb_agg(raw) FILTER ( WHERE rn > %(limit_s)s
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AND rn <= %(limit_e)s ) AS values
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FROM (SELECT requests.host AS domain,
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COUNT(requests.session_id) AS errors_count,
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row_number() over (ORDER BY COUNT(requests.session_id) DESC ) AS rn
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FROM events_common.requests
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INNER JOIN sessions USING (session_id)
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WHERE {" AND ".join(pg_sub_query)}
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GROUP BY requests.host
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ORDER BY errors_count DESC) AS raw;"""
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pg_query = cur.mogrify(pg_query, params)
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logger.debug("-----------")
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logger.debug(pg_query)
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logger.debug("-----------")
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cur.execute(pg_query)
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row = cur.fetchone()
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if row:
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row["values"] = row["values"] or []
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for r in row["values"]:
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r.pop("rn")
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return helper.dict_to_camel_case(row)
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def get_errors_per_type(project_id, startTimestamp=TimeUTC.now(delta_days=-1), endTimestamp=TimeUTC.now(),
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platform=None, density=7, **args):
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step_size = __get_step_size(startTimestamp, endTimestamp, density, factor=1)
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pg_sub_query_subset = __get_constraints(project_id=project_id, data=args)
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pg_sub_query_subset.append("requests.timestamp>=%(startTimestamp)s")
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pg_sub_query_subset.append("requests.timestamp<%(endTimestamp)s")
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pg_sub_query_subset.append("requests.status_code > 200")
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pg_sub_query_subset_e = __get_constraints(project_id=project_id, data=args, duration=False, main_table="m_errors",
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time_constraint=False)
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pg_sub_query_chart = __get_constraints(project_id=project_id, time_constraint=False,
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chart=True, data=args, main_table="", time_column="timestamp",
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project=False, duration=False)
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pg_sub_query_subset_e.append("timestamp>=%(startTimestamp)s")
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pg_sub_query_subset_e.append("timestamp<%(endTimestamp)s")
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with pg_client.PostgresClient() as cur:
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pg_query = f"""WITH requests AS (SELECT status_code AS status, timestamp
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FROM events_common.requests
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INNER JOIN public.sessions USING (session_id)
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WHERE {" AND ".join(pg_sub_query_subset)}
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),
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errors_integ AS (SELECT timestamp
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FROM events.errors
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INNER JOIN public.errors AS m_errors USING (error_id)
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WHERE {" AND ".join(pg_sub_query_subset_e)}
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AND source != 'js_exception'
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),
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errors_js AS (SELECT timestamp
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FROM events.errors
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INNER JOIN public.errors AS m_errors USING (error_id)
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WHERE {" AND ".join(pg_sub_query_subset_e)}
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AND source = 'js_exception'
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)
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SELECT generated_timestamp AS timestamp,
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COALESCE(SUM(CASE WHEN status / 100 = 4 THEN 1 ELSE 0 END), 0) AS _4xx,
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COALESCE(SUM(CASE WHEN status / 100 = 5 THEN 1 ELSE 0 END), 0) AS _5xx,
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COALESCE((SELECT COUNT(*)
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FROM errors_js
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WHERE {" AND ".join(pg_sub_query_chart)}
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), 0) AS js,
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COALESCE((SELECT COUNT(*)
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FROM errors_integ
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WHERE {" AND ".join(pg_sub_query_chart)}
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), 0) AS integrations
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FROM generate_series(%(startTimestamp)s, %(endTimestamp)s, %(step_size)s) AS generated_timestamp
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LEFT JOIN LATERAL (SELECT status
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FROM requests
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WHERE {" AND ".join(pg_sub_query_chart)}
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) AS errors_partition ON (TRUE)
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GROUP BY timestamp
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ORDER BY timestamp;"""
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params = {"step_size": step_size,
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"project_id": project_id,
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"startTimestamp": startTimestamp,
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"endTimestamp": endTimestamp, **__get_constraint_values(args)}
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cur.execute(cur.mogrify(pg_query, params))
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rows = cur.fetchall()
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rows = helper.list_to_camel_case(rows)
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return rows
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def get_impacted_sessions_by_js_errors(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
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endTimestamp=TimeUTC.now(), density=7, **args):
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step_size = __get_step_size(startTimestamp, endTimestamp, density, factor=1)
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pg_sub_query = __get_constraints(project_id=project_id, data=args)
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pg_sub_query_chart = __get_constraints(project_id=project_id, time_constraint=True,
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chart=True, data=args)
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pg_sub_query.append("m_errors.source = 'js_exception'")
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pg_sub_query.append("m_errors.project_id = %(project_id)s")
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pg_sub_query.append("errors.timestamp >= %(startTimestamp)s")
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pg_sub_query.append("errors.timestamp < %(endTimestamp)s")
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pg_sub_query_chart.append("m_errors.source = 'js_exception'")
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pg_sub_query_chart.append("m_errors.project_id = %(project_id)s")
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pg_sub_query_chart.append("errors.timestamp >= generated_timestamp")
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pg_sub_query_chart.append("errors.timestamp < generated_timestamp+ %(step_size)s")
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pg_sub_query_subset = __get_constraints(project_id=project_id, data=args, duration=False, main_table="m_errors",
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time_constraint=False)
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pg_sub_query_chart = __get_constraints(project_id=project_id, time_constraint=False,
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chart=True, data=args, main_table="errors", time_column="timestamp",
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project=False, duration=False)
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pg_sub_query_subset.append("m_errors.source = 'js_exception'")
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pg_sub_query_subset.append("errors.timestamp>=%(startTimestamp)s")
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pg_sub_query_subset.append("errors.timestamp<%(endTimestamp)s")
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with pg_client.PostgresClient() as cur:
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pg_query = f"""WITH errors AS (SELECT DISTINCT ON (session_id,timestamp) session_id, timestamp
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FROM events.errors
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INNER JOIN public.errors AS m_errors USING (error_id)
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WHERE {" AND ".join(pg_sub_query_subset)}
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)
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SELECT *
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FROM (SELECT COUNT(DISTINCT session_id) AS sessions_count
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FROM errors) AS counts
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LEFT JOIN
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(SELECT jsonb_agg(chart) AS chart
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FROM (SELECT generated_timestamp AS timestamp,
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COALESCE(COUNT(session_id), 0) AS sessions_count
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FROM generate_series(%(startTimestamp)s, %(endTimestamp)s, %(step_size)s) AS generated_timestamp
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LEFT JOIN LATERAL ( SELECT DISTINCT session_id
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FROM errors
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WHERE {" AND ".join(pg_sub_query_chart)}
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) AS sessions ON (TRUE)
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GROUP BY generated_timestamp
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ORDER BY generated_timestamp) AS chart) AS chart ON (TRUE);"""
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cur.execute(cur.mogrify(pg_query, {"step_size": step_size,
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"project_id": project_id,
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"startTimestamp": startTimestamp,
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"endTimestamp": endTimestamp,
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**__get_constraint_values(args)}))
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row_sessions = cur.fetchone()
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pg_query = f"""WITH errors AS ( SELECT DISTINCT ON(errors.error_id,timestamp) errors.error_id,timestamp
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FROM events.errors
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INNER JOIN public.errors AS m_errors USING (error_id)
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WHERE {" AND ".join(pg_sub_query_subset)}
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)
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SELECT *
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FROM (SELECT COUNT(DISTINCT errors.error_id) AS errors_count
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FROM errors) AS counts
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LEFT JOIN
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(SELECT jsonb_agg(chart) AS chart
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FROM (SELECT generated_timestamp AS timestamp,
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COALESCE(COUNT(error_id), 0) AS errors_count
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FROM generate_series(%(startTimestamp)s, %(endTimestamp)s, %(step_size)s) AS generated_timestamp
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LEFT JOIN LATERAL ( SELECT DISTINCT errors.error_id
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FROM errors
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WHERE {" AND ".join(pg_sub_query_chart)}
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) AS errors ON (TRUE)
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GROUP BY generated_timestamp
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ORDER BY generated_timestamp) AS chart) AS chart ON (TRUE);"""
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cur.execute(cur.mogrify(pg_query, {"step_size": step_size,
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"project_id": project_id,
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"startTimestamp": startTimestamp,
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"endTimestamp": endTimestamp,
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**__get_constraint_values(args)}))
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row_errors = cur.fetchone()
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chart = __merge_charts(row_sessions.pop("chart"), row_errors.pop("chart"))
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row_sessions = helper.dict_to_camel_case(row_sessions)
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row_errors = helper.dict_to_camel_case(row_errors)
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return {**row_sessions, **row_errors, "chart": chart}
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def get_resources_by_party(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
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endTimestamp=TimeUTC.now(), density=7, **args):
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step_size = __get_step_size(startTimestamp, endTimestamp, density, factor=1)
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pg_sub_query_subset = __get_constraints(project_id=project_id, time_constraint=True,
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chart=False, data=args)
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pg_sub_query_chart = __get_constraints(project_id=project_id, time_constraint=False, project=False,
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chart=True, data=args, main_table="requests", time_column="timestamp",
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duration=False)
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|
pg_sub_query_subset.append("requests.timestamp >= %(startTimestamp)s")
|
|
pg_sub_query_subset.append("requests.timestamp < %(endTimestamp)s")
|
|
# pg_sub_query_subset.append("resources.type IN ('fetch', 'script')")
|
|
pg_sub_query_subset.append("requests.success = FALSE")
|
|
|
|
with pg_client.PostgresClient() as cur:
|
|
pg_query = f"""WITH requests AS (
|
|
SELECT requests.host, timestamp
|
|
FROM events_common.requests
|
|
INNER JOIN public.sessions USING (session_id)
|
|
WHERE {" AND ".join(pg_sub_query_subset)}
|
|
)
|
|
SELECT generated_timestamp AS timestamp,
|
|
SUM(CASE WHEN first.host = sub_requests.host THEN 1 ELSE 0 END) AS first_party,
|
|
SUM(CASE WHEN first.host != sub_requests.host THEN 1 ELSE 0 END) AS third_party
|
|
FROM generate_series(%(startTimestamp)s, %(endTimestamp)s, %(step_size)s) AS generated_timestamp
|
|
LEFT JOIN (
|
|
SELECT requests.host,
|
|
COUNT(requests.session_id) AS count
|
|
FROM events_common.requests
|
|
INNER JOIN public.sessions USING (session_id)
|
|
WHERE sessions.project_id = '1'
|
|
AND sessions.start_ts > (EXTRACT(EPOCH FROM now() - INTERVAL '31 days') * 1000)::BIGINT
|
|
AND sessions.start_ts < (EXTRACT(EPOCH FROM now()) * 1000)::BIGINT
|
|
AND requests.timestamp > (EXTRACT(EPOCH FROM now() - INTERVAL '31 days') * 1000)::BIGINT
|
|
AND requests.timestamp < (EXTRACT(EPOCH FROM now()) * 1000)::BIGINT
|
|
AND sessions.duration>0
|
|
GROUP BY requests.host
|
|
ORDER BY count DESC
|
|
LIMIT 1
|
|
) AS first ON (TRUE)
|
|
LEFT JOIN LATERAL (
|
|
SELECT requests.host
|
|
FROM requests
|
|
WHERE {" AND ".join(pg_sub_query_chart)}
|
|
) AS sub_requests ON (TRUE)
|
|
GROUP BY generated_timestamp
|
|
ORDER BY generated_timestamp;"""
|
|
cur.execute(cur.mogrify(pg_query, {"step_size": step_size,
|
|
"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}))
|
|
|
|
rows = cur.fetchall()
|
|
return rows
|
|
|
|
|
|
def get_user_activity_avg_visited_pages(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
with pg_client.PostgresClient() as cur:
|
|
row = __get_user_activity_avg_visited_pages(cur, project_id, startTimestamp, endTimestamp, **args)
|
|
results = helper.dict_to_camel_case(row)
|
|
results["chart"] = __get_user_activity_avg_visited_pages_chart(cur, project_id, startTimestamp,
|
|
endTimestamp, **args)
|
|
|
|
diff = endTimestamp - startTimestamp
|
|
endTimestamp = startTimestamp
|
|
startTimestamp = endTimestamp - diff
|
|
row = __get_user_activity_avg_visited_pages(cur, project_id, startTimestamp, endTimestamp, **args)
|
|
|
|
previous = helper.dict_to_camel_case(row)
|
|
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(cur, project_id, startTimestamp, endTimestamp, **args):
|
|
pg_sub_query = __get_constraints(project_id=project_id, data=args)
|
|
pg_sub_query.append("sessions.pages_count>0")
|
|
pg_query = f"""SELECT COALESCE(CEIL(AVG(sessions.pages_count)),0) AS value
|
|
FROM public.sessions
|
|
WHERE {" AND ".join(pg_sub_query)};"""
|
|
params = {"project_id": project_id, "startTimestamp": startTimestamp, "endTimestamp": endTimestamp,
|
|
**__get_constraint_values(args)}
|
|
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
row = cur.fetchone()
|
|
return row
|
|
|
|
|
|
def __get_user_activity_avg_visited_pages_chart(cur, project_id, startTimestamp, endTimestamp, density=20, **args):
|
|
step_size = __get_step_size(endTimestamp=endTimestamp, startTimestamp=startTimestamp, density=density, factor=1)
|
|
params = {"step_size": step_size, "project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp}
|
|
pg_sub_query_subset = __get_constraints(project_id=project_id, time_constraint=True,
|
|
chart=False, data=args)
|
|
pg_sub_query_chart = __get_constraints(project_id=project_id, time_constraint=False, project=False,
|
|
chart=True, data=args, main_table="sessions", time_column="start_ts",
|
|
duration=False)
|
|
pg_sub_query_subset.append("sessions.duration IS NOT NULL")
|
|
|
|
pg_query = f"""WITH sessions AS(SELECT sessions.pages_count, sessions.start_ts
|
|
FROM public.sessions
|
|
WHERE {" AND ".join(pg_sub_query_subset)}
|
|
)
|
|
SELECT generated_timestamp AS timestamp,
|
|
COALESCE(AVG(sessions.pages_count),0) AS value
|
|
FROM generate_series(%(startTimestamp)s, %(endTimestamp)s, %(step_size)s) AS generated_timestamp
|
|
LEFT JOIN LATERAL (
|
|
SELECT sessions.pages_count
|
|
FROM sessions
|
|
WHERE {" AND ".join(pg_sub_query_chart)}
|
|
) AS sessions ON (TRUE)
|
|
GROUP BY generated_timestamp
|
|
ORDER BY generated_timestamp;"""
|
|
cur.execute(cur.mogrify(pg_query, {**params, **__get_constraint_values(args)}))
|
|
rows = cur.fetchall()
|
|
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, factor=1)
|
|
params = {"step_size": step_size, "project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp}
|
|
pg_sub_query = __get_constraints(project_id=project_id, data=args)
|
|
pg_sub_query_chart = __get_constraints(project_id=project_id, time_constraint=False, project=False,
|
|
chart=True, data=args, main_table="pages", time_column="timestamp",
|
|
duration=False)
|
|
|
|
if value is not None:
|
|
pg_sub_query.append("pages.path = %(value)s")
|
|
pg_sub_query_chart.append("pages.path = %(value)s")
|
|
with pg_client.PostgresClient() as cur:
|
|
pg_query = f"""SELECT COUNT(pages.session_id) AS value
|
|
FROM events.pages INNER JOIN public.sessions USING (session_id)
|
|
WHERE {" AND ".join(pg_sub_query)};"""
|
|
cur.execute(cur.mogrify(pg_query, {"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp,
|
|
"value": value, **__get_constraint_values(args)}))
|
|
row = cur.fetchone()
|
|
pg_query = f"""WITH pages AS(SELECT pages.timestamp
|
|
FROM events.pages INNER JOIN public.sessions USING (session_id)
|
|
WHERE {" AND ".join(pg_sub_query)}
|
|
)
|
|
SELECT generated_timestamp AS timestamp,
|
|
COUNT(pages.*) AS value
|
|
FROM generate_series(%(startTimestamp)s, %(endTimestamp)s, %(step_size)s) AS generated_timestamp
|
|
LEFT JOIN LATERAL (
|
|
SELECT 1
|
|
FROM pages
|
|
WHERE {" AND ".join(pg_sub_query_chart)}
|
|
) AS pages ON (TRUE)
|
|
GROUP BY generated_timestamp
|
|
ORDER BY generated_timestamp;"""
|
|
cur.execute(cur.mogrify(pg_query, {**params, **__get_constraint_values(args)}))
|
|
rows = cur.fetchall()
|
|
row["chart"] = rows
|
|
row["unit"] = schemas.TemplatePredefinedUnits.COUNT
|
|
return helper.dict_to_camel_case(row)
|
|
|
|
|
|
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, factor=1)
|
|
pg_sub_query = __get_constraints(project_id=project_id, data=args)
|
|
pg_sub_query_chart = __get_constraints(project_id=project_id, time_constraint=True,
|
|
chart=True, data=args)
|
|
pg_sub_query.append("user_id IS NOT NULL")
|
|
pg_sub_query.append("user_id != ''")
|
|
pg_sub_query_chart.append("user_id IS NOT NULL")
|
|
pg_sub_query_chart.append("user_id != ''")
|
|
with pg_client.PostgresClient() as cur:
|
|
pg_query = f"""SELECT generated_timestamp AS timestamp,
|
|
COALESCE(COUNT(sessions), 0) AS value
|
|
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 sessions ON (TRUE)
|
|
GROUP BY generated_timestamp
|
|
ORDER BY generated_timestamp;"""
|
|
params = {"step_size": step_size, "project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
rows = cur.fetchall()
|
|
results = {
|
|
"value": sum([r["value"] for r in rows]),
|
|
"chart": rows
|
|
}
|
|
|
|
diff = endTimestamp - startTimestamp
|
|
endTimestamp = startTimestamp
|
|
startTimestamp = endTimestamp - diff
|
|
|
|
pg_query = f"""SELECT COUNT(DISTINCT sessions.user_id) AS count
|
|
FROM public.sessions
|
|
WHERE {" AND ".join(pg_sub_query)};"""
|
|
params = {"project_id": project_id, "startTimestamp": startTimestamp, "endTimestamp": endTimestamp,
|
|
**__get_constraint_values(args)}
|
|
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
|
|
count = cur.fetchone()["count"]
|
|
|
|
results["progress"] = helper.__progress(old_val=count, new_val=results["value"])
|
|
results["unit"] = schemas.TemplatePredefinedUnits.COUNT
|
|
return results
|
|
|
|
|
|
def get_speed_index_location(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
pg_sub_query = __get_constraints(project_id=project_id, data=args)
|
|
pg_sub_query.append("pages.speed_index IS NOT NULL")
|
|
pg_sub_query.append("pages.speed_index>0")
|
|
|
|
with pg_client.PostgresClient() as cur:
|
|
pg_query = f"""SELECT sessions.user_country, AVG(pages.speed_index) AS value
|
|
FROM events.pages INNER JOIN public.sessions USING (session_id)
|
|
WHERE {" AND ".join(pg_sub_query)}
|
|
GROUP BY sessions.user_country
|
|
ORDER BY value, sessions.user_country;"""
|
|
params = {"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
rows = cur.fetchall()
|
|
if len(rows) > 0:
|
|
pg_query = f"""SELECT AVG(pages.speed_index) AS avg
|
|
FROM events.pages INNER JOIN public.sessions USING (session_id)
|
|
WHERE {" AND ".join(pg_sub_query)};"""
|
|
cur.execute(cur.mogrify(pg_query, params))
|
|
avg = cur.fetchone()["avg"]
|
|
else:
|
|
avg = 0
|
|
return {"value": avg, "chart": helper.list_to_camel_case(rows), "unit": schemas.TemplatePredefinedUnits.MILLISECOND}
|