dd5ff6bad8
* refactor(chalice): upgraded dependencies * refactor(chalice): upgraded dependencies feat(chalice): support heatmaps * feat(chalice): support table-of-browsers showing user-count * feat(chalice): support table-of-devices showing user-count * feat(chalice): support table-of-URLs showing user-count * 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 * refactor(chalice): upgraded dependencies * refactor(chalice): upgraded dependencies feat(chalice): support heatmaps * feat(chalice): support table-of-browsers showing user-count * feat(chalice): support table-of-devices showing user-count * feat(chalice): support table-of-URLs showing user-count * 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 * refactor(chalice): refactored search sessions hooks * refactor(DB): DB delta * refactor(DB): DB delta * refactor(DB): DB delta * refactor(chalice): refactored schemas * refactor(chalice): refactored schemas refactor(chalice): cleaned scripts feat(chalice): search sessions by CSS selector (PG)
2851 lines
154 KiB
Python
2851 lines
154 KiB
Python
import math
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import schemas
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from chalicelib.utils import exp_ch_helper
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from chalicelib.utils import args_transformer
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from chalicelib.utils import helper
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from chalicelib.utils.TimeUTC import TimeUTC
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from chalicelib.utils import ch_client
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from math import isnan
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from chalicelib.utils.metrics_helper import __get_step_size
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def __get_basic_constraints(table_name=None, time_constraint=True, round_start=False, data={}, identifier="project_id"):
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if table_name:
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table_name += "."
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else:
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table_name = ""
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ch_sub_query = [f"{table_name}{identifier} =toUInt16(%({identifier})s)"]
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if time_constraint:
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if round_start:
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ch_sub_query.append(
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f"toStartOfInterval({table_name}datetime, INTERVAL %(step_size)s second) >= toDateTime(%(startTimestamp)s/1000)")
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else:
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ch_sub_query.append(f"{table_name}datetime >= toDateTime(%(startTimestamp)s/1000)")
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ch_sub_query.append(f"{table_name}datetime < toDateTime(%(endTimestamp)s/1000)")
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return ch_sub_query + __get_generic_constraint(data=data, table_name=table_name)
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def __frange(start, stop, step):
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result = []
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i = start
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while i < stop:
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result.append(i)
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i += step
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return result
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def __add_missing_keys(original, complete):
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for missing in [key for key in complete.keys() if key not in original.keys()]:
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original[missing] = complete[missing]
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return original
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def __complete_missing_steps(start_time, end_time, density, neutral, rows, time_key="timestamp", time_coefficient=1000):
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if len(rows) == density:
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return rows
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step = __get_step_size(start_time, end_time, density, decimal=True)
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optimal = [(int(i * time_coefficient), int((i + step) * time_coefficient)) for i in
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__frange(start_time // time_coefficient, end_time // time_coefficient, step)]
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result = []
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r = 0
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o = 0
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for i in range(density):
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neutral_clone = dict(neutral)
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for k in neutral_clone.keys():
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if callable(neutral_clone[k]):
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neutral_clone[k] = neutral_clone[k]()
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if r < len(rows) and len(result) + len(rows) - r == density:
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result += rows[r:]
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break
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if r < len(rows) and o < len(optimal) and rows[r][time_key] < optimal[o][0]:
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# complete missing keys in original object
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rows[r] = __add_missing_keys(original=rows[r], complete=neutral_clone)
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result.append(rows[r])
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r += 1
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elif r < len(rows) and o < len(optimal) and optimal[o][0] <= rows[r][time_key] < optimal[o][1]:
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# complete missing keys in original object
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rows[r] = __add_missing_keys(original=rows[r], complete=neutral_clone)
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result.append(rows[r])
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r += 1
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o += 1
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else:
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neutral_clone[time_key] = optimal[o][0]
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result.append(neutral_clone)
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o += 1
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# elif r < len(rows) and rows[r][time_key] >= optimal[o][1]:
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# neutral_clone[time_key] = optimal[o][0]
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# result.append(neutral_clone)
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# o += 1
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# else:
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# neutral_clone[time_key] = optimal[o][0]
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# result.append(neutral_clone)
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# o += 1
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return result
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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(data, fields, table_name):
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constraints = []
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# for k in fields.keys():
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for i, f in enumerate(data.get("filters", [])):
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if f["key"] in fields.keys():
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if f["value"] in ["*", ""]:
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constraints.append(f"isNotNull({table_name}{fields[f['key']]})")
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else:
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constraints.append(f"{table_name}{fields[f['key']]} = %({f['key']}_{i})s")
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# TODO: remove this in next release
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offset = len(data.get("filters", []))
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for i, f in enumerate(data.keys()):
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if f in fields.keys():
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if data[f] in ["*", ""]:
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constraints.append(f"isNotNull({table_name}{fields[f]})")
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else:
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constraints.append(f"{table_name}{fields[f]} = %({f}_{i + offset})s")
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return constraints
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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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# TODO: remove this in next release
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offset = len(data.get("filters", []))
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for i, f in enumerate(data.keys()):
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params[f"{f}_{i + offset}"] = data[f]
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return params
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METADATA_FIELDS = {"userId": "user_id",
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"userAnonymousId": "user_anonymous_id",
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"metadata1": "metadata_1",
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"metadata2": "metadata_2",
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"metadata3": "metadata_3",
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"metadata4": "metadata_4",
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"metadata5": "metadata_5",
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"metadata6": "metadata_6",
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"metadata7": "metadata_7",
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"metadata8": "metadata_8",
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"metadata9": "metadata_9",
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"metadata10": "metadata_10"}
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def __get_meta_constraint(data):
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return __get_constraint(data=data, fields=METADATA_FIELDS, table_name="sessions_metadata.")
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SESSIONS_META_FIELDS = {"revId": "rev_id",
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"country": "user_country",
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"os": "user_os",
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"platform": "user_device_type",
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"device": "user_device",
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"browser": "user_browser"}
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def __get_generic_constraint(data, table_name):
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return __get_constraint(data=data, fields=SESSIONS_META_FIELDS, table_name=table_name)
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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)
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ch_sub_query = __get_basic_constraints(table_name="sessions", data=args)
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ch_sub_query_chart = __get_basic_constraints(table_name="sessions", round_start=True, data=args)
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meta_condition = __get_meta_constraint(args)
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ch_sub_query += meta_condition
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ch_sub_query_chart += meta_condition
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with ch_client.ClickHouseClient() as ch:
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ch_query = f"""\
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SELECT toUnixTimestamp(toStartOfInterval(sessions.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
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COUNT(DISTINCT sessions.session_id) AS value
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FROM {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions
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WHERE {" AND ".join(ch_sub_query_chart)}
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GROUP BY timestamp
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ORDER BY timestamp;\
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"""
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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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rows = ch.execute(query=ch_query, params=params)
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results = {
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"value": sum([r["value"] for r in rows]),
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"chart": __complete_missing_steps(rows=rows, start_time=startTimestamp, end_time=endTimestamp,
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density=density,
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neutral={"value": 0})
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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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ch_query = f""" SELECT COUNT(1) AS count
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FROM {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions
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WHERE {" AND ".join(ch_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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count = ch.execute(query=ch_query, params=params)
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count = count[0]["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_errors(project_id, startTimestamp=TimeUTC.now(delta_days=-1), endTimestamp=TimeUTC.now(),
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density=7, **args):
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step_size = __get_step_size(startTimestamp, endTimestamp, density)
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ch_sub_query = __get_basic_constraints(table_name="errors", data=args)
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ch_sub_query.append("errors.event_type = 'ERROR'")
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ch_sub_query.append("errors.source = 'js_exception'")
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ch_sub_query_chart = __get_basic_constraints(table_name="errors", round_start=True, data=args)
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ch_sub_query_chart.append("errors.event_type = 'ERROR'")
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ch_sub_query_chart.append("errors.source = 'js_exception'")
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meta_condition = __get_meta_constraint(args)
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ch_sub_query += meta_condition
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ch_sub_query_chart += meta_condition
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with ch_client.ClickHouseClient() as ch:
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ch_query = f"""\
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SELECT toUnixTimestamp(toStartOfInterval(errors.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
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COUNT(DISTINCT errors.session_id) AS count
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FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS errors
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WHERE {" AND ".join(ch_sub_query_chart)}
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GROUP BY timestamp
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ORDER BY timestamp;\
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"""
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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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rows = ch.execute(query=ch_query, params=params)
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results = {
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"count": 0 if len(rows) == 0 else __count_distinct_errors(ch, project_id, startTimestamp, endTimestamp,
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ch_sub_query),
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"impactedSessions": sum([r["count"] for r in rows]),
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"chart": __complete_missing_steps(rows=rows, start_time=startTimestamp, end_time=endTimestamp,
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density=density,
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neutral={"count": 0})
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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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count = __count_distinct_errors(ch, project_id, startTimestamp, endTimestamp, ch_sub_query,
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meta=len(meta_condition) > 0, **args)
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results["progress"] = helper.__progress(old_val=count, new_val=results["count"])
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return results
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def __count_distinct_errors(ch, project_id, startTimestamp, endTimestamp, ch_sub_query, meta=False, **args):
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ch_query = f"""\
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SELECT
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COUNT(DISTINCT errors.message) AS count
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FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS errors
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WHERE {" AND ".join(ch_sub_query)};"""
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count = ch.execute(query=ch_query,
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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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if count is not None and len(count) > 0:
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return count[0]["count"]
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return 0
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def get_errors_trend(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)
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ch_sub_query = __get_basic_constraints(table_name="errors", data=args)
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ch_sub_query.append("errors.event_type='ERROR'")
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ch_sub_query_chart = __get_basic_constraints(table_name="errors", round_start=True, data=args)
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ch_sub_query_chart.append("errors.event_type='ERROR'")
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meta_condition = __get_meta_constraint(args)
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ch_sub_query += meta_condition
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ch_sub_query_chart += meta_condition
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with ch_client.ClickHouseClient() as ch:
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ch_query = f"""SELECT *
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FROM (SELECT errors.error_id AS error_id,
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errors.message AS error,
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COUNT(1) AS count,
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COUNT(DISTINCT errors.session_id) AS sessions
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FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS errors
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WHERE {" AND ".join(ch_sub_query)}
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GROUP BY errors.error_id, errors.message) AS errors_chart
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INNER JOIN (SELECT error_id AS error_id,
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toUnixTimestamp(MAX(datetime))*1000 AS lastOccurrenceAt,
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toUnixTimestamp(MIN(datetime))*1000 AS firstOccurrenceAt
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FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS errors
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WHERE event_type='ERROR' AND project_id=%(project_id)s
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GROUP BY error_id) AS errors_time USING(error_id)
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ORDER BY sessions DESC, count DESC LIMIT 10;"""
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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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rows = ch.execute(query=ch_query, params=params)
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# print(f"got {len(rows)} rows")
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if len(rows) == 0:
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return []
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error_ids = [r["error_id"] for r in rows]
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ch_sub_query.append("error_id = %(error_id)s")
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errors = {}
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for error_id in error_ids:
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ch_query = f"""\
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SELECT toUnixTimestamp(toStartOfInterval(errors.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
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COUNT(1) AS count
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FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS errors
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WHERE {" AND ".join(ch_sub_query_chart)}
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GROUP BY timestamp
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ORDER BY timestamp;"""
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params["error_id"] = error_id
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errors[error_id] = ch.execute(query=ch_query, params=params)
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for row in rows:
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row["startTimestamp"] = startTimestamp
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row["endTimestamp"] = endTimestamp
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row["chart"] = __complete_missing_steps(rows=errors[row["error_id"]], start_time=startTimestamp,
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end_time=endTimestamp,
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density=density,
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neutral={"count": 0})
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return rows
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def get_page_metrics(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
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endTimestamp=TimeUTC.now(), **args):
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with ch_client.ClickHouseClient() as ch:
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rows = __get_page_metrics(ch, project_id, startTimestamp, endTimestamp, **args)
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if len(rows) > 0:
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results = helper.dict_to_camel_case(rows[0])
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diff = endTimestamp - startTimestamp
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endTimestamp = startTimestamp
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startTimestamp = endTimestamp - diff
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rows = __get_page_metrics(ch, project_id, startTimestamp, endTimestamp, **args)
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if len(rows) > 0:
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previous = helper.dict_to_camel_case(rows[0])
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for key in previous.keys():
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results[key + "Progress"] = helper.__progress(old_val=previous[key], new_val=results[key])
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return results
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def __get_page_metrics(ch, project_id, startTimestamp, endTimestamp, **args):
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ch_sub_query = __get_basic_constraints(table_name="pages", data=args)
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ch_sub_query.append("pages.event_type='LOCATION'")
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meta_condition = __get_meta_constraint(args)
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ch_sub_query += meta_condition
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ch_sub_query.append("(pages.dom_content_loaded_event_end>0 OR pages.first_contentful_paint_time>0)")
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# changed dom_content_loaded_event_start to dom_content_loaded_event_end
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ch_query = f"""SELECT COALESCE(avgOrNull(NULLIF(pages.dom_content_loaded_event_end ,0)),0) AS avg_dom_content_load_start,
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COALESCE(avgOrNull(NULLIF(pages.first_contentful_paint_time,0)),0) AS avg_first_contentful_pixel
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FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
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WHERE {" AND ".join(ch_sub_query)};"""
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params = {"project_id": project_id, "type": 'fetch', "startTimestamp": startTimestamp, "endTimestamp": endTimestamp,
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**__get_constraint_values(args)}
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rows = ch.execute(query=ch_query, params=params)
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return rows
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def get_application_activity(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
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endTimestamp=TimeUTC.now(), **args):
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with ch_client.ClickHouseClient() as ch:
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row = __get_application_activity(ch, project_id, startTimestamp, endTimestamp, **args)
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results = helper.dict_to_camel_case(row)
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diff = endTimestamp - startTimestamp
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endTimestamp = startTimestamp
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startTimestamp = endTimestamp - diff
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row = __get_application_activity(ch, project_id, startTimestamp, endTimestamp, **args)
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previous = helper.dict_to_camel_case(row)
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for key in previous.keys():
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results[key + "Progress"] = helper.__progress(old_val=previous[key], new_val=results[key])
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return results
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def __get_application_activity(ch, project_id, startTimestamp, endTimestamp, **args):
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result = {}
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ch_sub_query = __get_basic_constraints(table_name="pages", data=args)
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ch_sub_query.append("pages.event_type='LOCATION'")
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meta_condition = __get_meta_constraint(args)
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ch_sub_query += meta_condition
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ch_query = f"""SELECT COALESCE(avgOrNull(pages.load_event_end),0) AS avg_page_load_time
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FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
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WHERE {" AND ".join(ch_sub_query)} AND pages.load_event_end>0;"""
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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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row = ch.execute(query=ch_query, params=params)[0]
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result = {**result, **row}
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ch_sub_query = __get_basic_constraints(table_name="resources", data=args)
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# ch_sub_query.append("events.event_type='RESOURCE'")
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meta_condition = __get_meta_constraint(args)
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ch_sub_query += meta_condition
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ch_sub_query.append("resources.type= %(type)s")
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ch_query = f"""SELECT COALESCE(avgOrNull(resources.duration),0) AS avg
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FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
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WHERE {" AND ".join(ch_sub_query)} AND resources.duration>0;"""
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row = ch.execute(query=ch_query,
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params={"project_id": project_id, "type": 'img', "startTimestamp": startTimestamp,
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"endTimestamp": endTimestamp, **__get_constraint_values(args)})[0]
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result = {**result, "avg_image_load_time": row["avg"]}
|
|
row = ch.execute(query=ch_query,
|
|
params={"project_id": project_id, "type": 'fetch', "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)})[0]
|
|
result = {**result, "avg_request_load_time": row["avg"]}
|
|
|
|
for k in result:
|
|
if result[k] is None:
|
|
result[k] = 0
|
|
return result
|
|
|
|
|
|
def get_user_activity(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
results = {}
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
rows = __get_user_activity(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
|
|
diff = endTimestamp - startTimestamp
|
|
endTimestamp = startTimestamp
|
|
startTimestamp = endTimestamp - diff
|
|
rows = __get_user_activity(ch, project_id, startTimestamp, endTimestamp, **args)
|
|
|
|
if len(rows) > 0:
|
|
previous = helper.dict_to_camel_case(rows[0])
|
|
for key in previous:
|
|
results[key + "Progress"] = helper.__progress(old_val=previous[key], new_val=results[key])
|
|
return results
|
|
|
|
|
|
def __get_user_activity(ch, project_id, startTimestamp, endTimestamp, **args):
|
|
ch_sub_query = __get_basic_constraints(table_name="sessions", data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
ch_sub_query.append("(sessions.pages_count>0 OR sessions.duration>0)")
|
|
ch_query = f"""SELECT COALESCE(CEIL(avgOrNull(NULLIF(sessions.pages_count,0))),0) AS avg_visited_pages,
|
|
COALESCE(avgOrNull(NULLIF(sessions.duration,0)),0) AS avg_session_duration
|
|
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)}
|
|
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
|
|
return rows
|
|
|
|
|
|
def get_slowest_images(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(),
|
|
density=7, **args):
|
|
step_size = __get_step_size(endTimestamp=endTimestamp, startTimestamp=startTimestamp, density=density)
|
|
ch_sub_query = __get_basic_constraints(table_name="resources", data=args)
|
|
# ch_sub_query.append("events.event_type='RESOURCE'")
|
|
ch_sub_query.append("resources.type = 'img'")
|
|
ch_sub_query_chart = __get_basic_constraints(table_name="resources", round_start=True, data=args)
|
|
# ch_sub_query_chart.append("events.event_type='RESOURCE'")
|
|
ch_sub_query_chart.append("resources.type = 'img'")
|
|
ch_sub_query_chart.append("resources.url_hostpath IN %(url)s")
|
|
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 resources.url_hostpath AS url,
|
|
COALESCE(avgOrNull(resources.duration),0) AS avg,
|
|
COUNT(1) AS count
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query)} AND resources.duration>0
|
|
GROUP BY resources.url_hostpath ORDER BY avg DESC LIMIT 10;"""
|
|
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)
|
|
|
|
rows = [{"url": i["url"], "avgDuration": i["avg"], "sessions": i["count"]} for i in rows]
|
|
if len(rows) == 0:
|
|
return []
|
|
urls = [row["url"] for row in rows]
|
|
|
|
charts = {}
|
|
ch_query = f"""SELECT url_hostpath AS url,
|
|
toUnixTimestamp(toStartOfInterval(resources.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(resources.duration),0) AS avg
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query_chart)} AND resources.duration>0
|
|
GROUP BY url_hostpath, timestamp
|
|
ORDER BY url_hostpath, timestamp;"""
|
|
params["url"] = urls
|
|
# print(ch.format(query=ch_query, params=params))
|
|
u_rows = ch.execute(query=ch_query, params=params)
|
|
for url in urls:
|
|
sub_rows = []
|
|
for r in u_rows:
|
|
if r["url"] == url:
|
|
sub_rows.append(r)
|
|
elif len(sub_rows) > 0:
|
|
break
|
|
charts[url] = [{"timestamp": int(i["timestamp"]),
|
|
"avgDuration": i["avg"]}
|
|
for i in __complete_missing_steps(rows=sub_rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density, neutral={"avg": 0})]
|
|
for i in range(len(rows)):
|
|
rows[i] = helper.dict_to_camel_case(rows[i])
|
|
rows[i]["chart"] = helper.list_to_camel_case(charts[rows[i]["url"]])
|
|
|
|
return sorted(rows, key=lambda k: k["sessions"], reverse=True)
|
|
|
|
|
|
def __get_performance_constraint(l):
|
|
if len(l) == 0:
|
|
return ""
|
|
l = [s.decode('UTF-8').replace("%", "%%") for s in l]
|
|
return f"AND ({' OR '.join(l)})"
|
|
|
|
|
|
def get_performance(project_id, startTimestamp=TimeUTC.now(delta_days=-1), endTimestamp=TimeUTC.now(),
|
|
density=19, resources=None, **args):
|
|
step_size = __get_step_size(endTimestamp=endTimestamp, startTimestamp=startTimestamp, density=density)
|
|
location_constraints = []
|
|
img_constraints = []
|
|
request_constraints = []
|
|
ch_sub_query_chart = __get_basic_constraints(table_name="resources", round_start=True, data=args)
|
|
# ch_sub_query_chart.append("event_type='RESOURCE'")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
img_constraints_vals = {}
|
|
location_constraints_vals = {}
|
|
request_constraints_vals = {}
|
|
|
|
if resources and len(resources) > 0:
|
|
for r in resources:
|
|
if r["type"] == "IMG":
|
|
img_constraints.append(f"resources.url_hostpath = %(val_{len(img_constraints)})s")
|
|
img_constraints_vals["val_" + str(len(img_constraints) - 1)] = r['value']
|
|
elif r["type"] == "LOCATION":
|
|
location_constraints.append(f"pages.url_path = %(val_{len(location_constraints)})s")
|
|
location_constraints_vals["val_" + str(len(location_constraints) - 1)] = r['value']
|
|
else:
|
|
request_constraints.append(f"resources.url_hostpath = %(val_{len(request_constraints)})s")
|
|
request_constraints_vals["val_" + str(len(request_constraints) - 1)] = r['value']
|
|
params = {"step_size": step_size, "project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp}
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(resources.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(resources.duration),0) AS avg
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query_chart)}
|
|
AND resources.type = 'img' AND resources.duration>0
|
|
{(f' AND ({" OR ".join(img_constraints)})') if len(img_constraints) > 0 else ""}
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp;"""
|
|
rows = ch.execute(query=ch_query, params={**params, **img_constraints_vals, **__get_constraint_values(args)})
|
|
images = [{"timestamp": i["timestamp"], "avgImageLoadTime": i["avg"]} for i in
|
|
__complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density, neutral={"avg": 0})]
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(resources.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(resources.duration),0) AS avg
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query_chart)}
|
|
AND resources.type = 'fetch' AND resources.duration>0
|
|
{(f' AND ({" OR ".join(request_constraints)})') if len(request_constraints) > 0 else ""}
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp;"""
|
|
rows = ch.execute(query=ch_query,
|
|
params={**params, **request_constraints_vals, **__get_constraint_values(args)})
|
|
requests = [{"timestamp": i["timestamp"], "avgRequestLoadTime": i["avg"]} for i in
|
|
__complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp, density=density,
|
|
neutral={"avg": 0})]
|
|
ch_sub_query_chart = __get_basic_constraints(table_name="pages", round_start=True, data=args)
|
|
ch_sub_query_chart.append("pages.event_type='LOCATION'")
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.load_event_end),0) AS avg
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query_chart)} AND pages.load_event_end>0
|
|
{(f' AND ({" OR ".join(location_constraints)})') if len(location_constraints) > 0 else ""}
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp;"""
|
|
|
|
rows = ch.execute(query=ch_query,
|
|
params={**params, **location_constraints_vals, **__get_constraint_values(args)})
|
|
pages = [{"timestamp": i["timestamp"], "avgPageLoadTime": i["avg"]} for i in
|
|
__complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density, neutral={"avg": 0})]
|
|
|
|
rows = helper.merge_lists_by_key(helper.merge_lists_by_key(pages, requests, "timestamp"), images, "timestamp")
|
|
|
|
for s in rows:
|
|
for k in s:
|
|
if s[k] is None:
|
|
s[k] = 0
|
|
return {"chart": helper.list_to_camel_case(__complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"avgImageLoadTime": 0,
|
|
"avgRequestLoadTime": 0,
|
|
"avgPageLoadTime": 0}))}
|
|
|
|
|
|
RESOURCS_TYPE_TO_DB_TYPE = {
|
|
"img": "IMG",
|
|
"fetch": "REQUEST",
|
|
"stylesheet": "STYLESHEET",
|
|
"script": "SCRIPT",
|
|
"other": "OTHER",
|
|
"media": "MEDIA"
|
|
}
|
|
|
|
|
|
def __get_resource_type_from_db_type(db_type):
|
|
db_type = db_type.lower()
|
|
return RESOURCS_TYPE_TO_DB_TYPE.get(db_type, db_type)
|
|
|
|
|
|
def __get_resource_db_type_from_type(resource_type):
|
|
resource_type = resource_type.upper()
|
|
return {v: k for k, v in RESOURCS_TYPE_TO_DB_TYPE.items()}.get(resource_type, resource_type)
|
|
|
|
|
|
def search(text, resource_type, project_id, performance=False, pages_only=False, events_only=False,
|
|
metadata=False, key=None, platform=None):
|
|
if text.startswith("^"):
|
|
text = text[1:]
|
|
if not resource_type:
|
|
data = []
|
|
if metadata:
|
|
resource_type = "METADATA"
|
|
elif pages_only or performance:
|
|
resource_type = "LOCATION"
|
|
else:
|
|
resource_type = "ALL"
|
|
data.extend(search(text=text, resource_type=resource_type, project_id=project_id,
|
|
performance=performance, pages_only=pages_only, events_only=events_only, key=key,
|
|
platform=platform))
|
|
return data
|
|
|
|
ch_sub_query = __get_basic_constraints(time_constraint=False,
|
|
data={} if platform is None else {"platform": platform})
|
|
|
|
if resource_type == "ALL" and not pages_only and not events_only:
|
|
ch_sub_query.append("positionUTF8(url_path,%(value)s)!=0")
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT arrayJoin(arraySlice(arrayReverseSort(arrayDistinct(groupArray(url_path))), 1, 5)) AS value,
|
|
type AS key
|
|
FROM {exp_ch_helper.get_main_resources_table(0)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY type
|
|
ORDER BY type ASC;"""
|
|
# print(ch.format(query=ch_query,
|
|
# params={"project_id": project_id,
|
|
# "value": text}))
|
|
rows = ch.execute(query=ch_query,
|
|
params={"project_id": project_id,
|
|
"value": text})
|
|
rows = [{"value": i["value"], "type": __get_resource_type_from_db_type(i["key"])} for i in rows]
|
|
elif resource_type == "ALL" and events_only:
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT DISTINCT value AS value, type AS key
|
|
FROM {exp_ch_helper.get_autocomplete_table(0)} autocomplete
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
AND positionUTF8(lowerUTF8(value), %(value)s) != 0
|
|
AND type IN ('LOCATION','INPUT','CLICK')
|
|
ORDER BY type, value
|
|
LIMIT 10 BY type;"""
|
|
rows = ch.execute(query=ch_query,
|
|
params={"project_id": project_id,
|
|
"value": text.lower(),
|
|
"platform_0": platform})
|
|
rows = [{"value": i["value"], "type": i["key"]} for i in rows]
|
|
elif resource_type in ['IMG', 'REQUEST', 'STYLESHEET', 'OTHER', 'SCRIPT'] and not pages_only:
|
|
ch_sub_query.append("positionUTF8(url_path,%(value)s)!=0")
|
|
ch_sub_query.append(f"resources.type = '{__get_resource_db_type_from_type(resource_type)}'")
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT DISTINCT url_path AS value,
|
|
%(resource_type)s AS key
|
|
FROM {exp_ch_helper.get_main_resources_table(0)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
LIMIT 10;"""
|
|
rows = ch.execute(query=ch_query,
|
|
params={"project_id": project_id,
|
|
"value": text,
|
|
"resource_type": resource_type,
|
|
"platform_0": platform})
|
|
rows = [{"value": i["value"], "type": i["key"]} for i in rows]
|
|
elif resource_type == 'LOCATION':
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_sub_query.append("type='LOCATION'")
|
|
ch_sub_query.append("positionUTF8(value,%(value)s)!=0")
|
|
ch_query = f"""SELECT
|
|
DISTINCT value AS value,
|
|
'LOCATION' AS key
|
|
FROM {exp_ch_helper.get_autocomplete_table(0)} AS autocomplete
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
LIMIT 10;"""
|
|
rows = ch.execute(query=ch_query,
|
|
params={"project_id": project_id,
|
|
"value": text,
|
|
"platform_0": platform})
|
|
rows = [{"value": i["value"], "type": i["key"]} for i in rows]
|
|
elif resource_type == "INPUT":
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_sub_query.append("positionUTF8(lowerUTF8(value), %(value)s) != 0")
|
|
ch_sub_query.append("type='INPUT")
|
|
ch_query = f"""SELECT DISTINCT label AS value, 'INPUT' AS key
|
|
FROM {exp_ch_helper.get_autocomplete_table(0)} AS autocomplete
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
LIMIT 10;"""
|
|
rows = ch.execute(query=ch_query,
|
|
params={"project_id": project_id,
|
|
"value": text.lower(),
|
|
"platform_0": platform})
|
|
rows = [{"value": i["value"], "type": i["key"]} for i in rows]
|
|
elif resource_type == "CLICK":
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_sub_query.append("positionUTF8(lowerUTF8(value), %(value)s) != 0")
|
|
ch_sub_query.append("type='CLICK'")
|
|
ch_query = f"""SELECT DISTINCT value AS value, 'CLICK' AS key
|
|
FROM {exp_ch_helper.get_autocomplete_table(0)} AS autocomplete
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
LIMIT 10;"""
|
|
rows = ch.execute(query=ch_query,
|
|
params={"project_id": project_id,
|
|
"value": text.lower(),
|
|
"platform_0": platform})
|
|
rows = [{"value": i["value"], "type": i["key"]} for i in rows]
|
|
elif resource_type == "METADATA":
|
|
if key and len(key) > 0 and key in {**METADATA_FIELDS, **SESSIONS_META_FIELDS}.keys():
|
|
if key in METADATA_FIELDS.keys():
|
|
ch_sub_query.append(
|
|
f"positionCaseInsensitiveUTF8(sessions.{METADATA_FIELDS[key]},%(value)s)!=0")
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT DISTINCT sessions.{METADATA_FIELDS[key]} AS value,
|
|
%(key)s AS key
|
|
FROM {exp_ch_helper.get_main_sessions_table(0)} AS sessions
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
LIMIT 10;"""
|
|
rows = ch.execute(query=ch_query,
|
|
params={"project_id": project_id, "value": text, "key": key,
|
|
"platform_0": platform})
|
|
else:
|
|
ch_sub_query.append(f"positionCaseInsensitiveUTF8(sessions.{SESSIONS_META_FIELDS[key]},%(value)s)>0")
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT DISTINCT sessions.{SESSIONS_META_FIELDS[key]} AS value,
|
|
'{key}' AS key
|
|
FROM {exp_ch_helper.get_main_sessions_table(0)} AS sessions
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
LIMIT 10;"""
|
|
rows = ch.execute(query=ch_query, params={"project_id": project_id, "value": text, "key": key,
|
|
"platform_0": platform})
|
|
else:
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT DISTINCT value AS value,
|
|
type AS key
|
|
FROM {exp_ch_helper.get_autocomplete_table(0)} AS autocomplete
|
|
WHERE project_id = toUInt16(2460)
|
|
AND positionCaseInsensitiveUTF8(value, %(value)s) != 0
|
|
LIMIT 10 BY type"""
|
|
|
|
# print(ch.format(query=ch_query, params={"project_id": project_id, "value": text, "key": key,
|
|
# "platform_0": platform}))
|
|
rows = ch.execute(query=ch_query, params={"project_id": project_id, "value": text, "key": key,
|
|
"platform_0": platform})
|
|
else:
|
|
return []
|
|
return [helper.dict_to_camel_case(row) for row in rows]
|
|
|
|
|
|
def get_missing_resources_trend(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="resources", data=args)
|
|
ch_sub_query.append("resources.success = 0")
|
|
ch_sub_query.append("resources.type = 'img'")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT resources.url_path AS key,
|
|
COUNT(1) AS doc_count
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY url_path
|
|
ORDER BY doc_count DESC
|
|
LIMIT 10;"""
|
|
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 = [{"url": i["key"], "sessions": i["doc_count"]} for i in rows]
|
|
if len(rows) == 0:
|
|
return []
|
|
ch_sub_query.append("resources.url_path = %(value)s")
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(resources.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COUNT(1) AS doc_count,
|
|
toUnixTimestamp(MAX(resources.datetime))*1000 AS max_datatime
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp;"""
|
|
for e in rows:
|
|
e["startedAt"] = startTimestamp
|
|
e["startTimestamp"] = startTimestamp
|
|
e["endTimestamp"] = endTimestamp
|
|
params["value"] = e["url"]
|
|
r = ch.execute(query=ch_query, params=params)
|
|
|
|
e["endedAt"] = r[-1]["max_datatime"]
|
|
e["chart"] = [{"timestamp": i["timestamp"], "count": i["doc_count"]} for i in
|
|
__complete_missing_steps(rows=r, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"doc_count": 0})]
|
|
return rows
|
|
|
|
|
|
def get_network(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="resources", round_start=True, data=args)
|
|
# ch_sub_query_chart.append("events.event_type='RESOURCE'")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(resources.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
resources.url_path, COUNT(1) AS doc_count
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query_chart)}
|
|
GROUP BY timestamp, resources.url_path
|
|
ORDER BY timestamp, doc_count DESC
|
|
LIMIT 10 BY timestamp;"""
|
|
params = {"step_size": step_size, "project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
|
|
r = ch.execute(query=ch_query, params=params)
|
|
|
|
results = []
|
|
|
|
i = 0
|
|
while i < len(r):
|
|
results.append({"timestamp": r[i]["timestamp"], "domains": []})
|
|
i += 1
|
|
while i < len(r) and r[i]["timestamp"] == results[-1]["timestamp"]:
|
|
results[-1]["domains"].append({r[i]["url_path"]: r[i]["doc_count"]})
|
|
i += 1
|
|
|
|
return {"startTimestamp": startTimestamp, "endTimestamp": endTimestamp, "chart": results}
|
|
|
|
|
|
KEYS = {
|
|
'startTimestamp': args_transformer.int_arg,
|
|
'endTimestamp': args_transformer.int_arg,
|
|
'density': args_transformer.int_arg,
|
|
'performanceDensity': args_transformer.int_arg,
|
|
'platform': args_transformer.string
|
|
}
|
|
|
|
|
|
def dashboard_args(params):
|
|
args = {}
|
|
if params is not None:
|
|
for key in params.keys():
|
|
if key in KEYS.keys():
|
|
args[key] = KEYS[key](params.get(key))
|
|
return args
|
|
|
|
|
|
def get_resources_loading_time(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(),
|
|
density=19, type=None, url=None, **args):
|
|
step_size = __get_step_size(startTimestamp, endTimestamp, density)
|
|
ch_sub_query_chart = __get_basic_constraints(table_name="resources", round_start=True, data=args)
|
|
if type is not None:
|
|
ch_sub_query_chart.append(f"resources.type = '{__get_resource_db_type_from_type(type)}'")
|
|
if url is not None:
|
|
ch_sub_query_chart.append(f"resources.url_hostpath = %(value)s")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
ch_sub_query_chart.append("resources.duration>0")
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(resources.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(resources.duration),0) AS avg
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
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,
|
|
"value": url, "type": type, **__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(resources.duration),0) AS avg
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query_chart)};"""
|
|
avg = ch.execute(query=ch_query, params=params)[0]["avg"] if len(rows) > 0 else 0
|
|
return {"avg": avg, "chart": __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"avg": 0})}
|
|
|
|
|
|
def get_pages_dom_build_time(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), density=19, url=None, **args):
|
|
step_size = __get_step_size(startTimestamp, endTimestamp, 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'")
|
|
if url is not None:
|
|
ch_sub_query_chart.append(f"pages.url_path = %(value)s")
|
|
ch_sub_query_chart.append("isNotNull(pages.dom_building_time)")
|
|
ch_sub_query_chart.append("pages.dom_building_time>0")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.dom_building_time),0) 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;"""
|
|
params = {"step_size": step_size, "project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp,
|
|
"value": url, **__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(pages.dom_building_time),0) AS avg
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query_chart)};"""
|
|
avg = ch.execute(query=ch_query, params=params)[0]["avg"] if len(rows) > 0 else 0
|
|
|
|
results = {"value": avg,
|
|
"chart": __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density, neutral={"value": 0})}
|
|
helper.__time_value(results)
|
|
return results
|
|
|
|
|
|
def get_slowest_resources(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), type="all", density=19, **args):
|
|
step_size = __get_step_size(startTimestamp, endTimestamp, density)
|
|
ch_sub_query = __get_basic_constraints(table_name="resources", data=args)
|
|
ch_sub_query.append("isNotNull(resources.name)")
|
|
ch_sub_query_chart = __get_basic_constraints(table_name="resources", round_start=True, data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
if type is not None and type.upper() != "ALL":
|
|
sq = f"resources.type = '{__get_resource_db_type_from_type(type.upper())}'"
|
|
else:
|
|
sq = "resources.type != 'fetch'"
|
|
ch_sub_query.append(sq)
|
|
ch_sub_query_chart.append(sq)
|
|
ch_sub_query_chart.append("isNotNull(resources.duration)")
|
|
ch_sub_query_chart.append("resources.duration>0")
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT any(url_hostpath) AS url, any(type) AS type, name,
|
|
COALESCE(avgOrNull(NULLIF(resources.duration,0)),0) AS avg
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY name
|
|
ORDER BY avg DESC
|
|
LIMIT 10;"""
|
|
params = {"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)
|
|
if len(rows) == 0:
|
|
return []
|
|
ch_sub_query.append(ch_sub_query_chart[-1])
|
|
results = []
|
|
names = [r["name"] for r in rows]
|
|
ch_query = f"""SELECT name,
|
|
toUnixTimestamp(toStartOfInterval(resources.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(resources.duration),0) AS avg
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query_chart)}
|
|
AND name IN %(names)s
|
|
GROUP BY name,timestamp
|
|
ORDER BY name,timestamp;"""
|
|
params = {"step_size": step_size, "project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp,
|
|
"names": names, **__get_constraint_values(args)}
|
|
# print(ch.format(query=ch_query, params=params))
|
|
charts = ch.execute(query=ch_query, params=params)
|
|
for r in rows:
|
|
sub_chart = []
|
|
for c in charts:
|
|
if c["name"] == r["name"]:
|
|
cc = dict(c)
|
|
cc.pop("name")
|
|
sub_chart.append(cc)
|
|
elif len(sub_chart) > 0:
|
|
break
|
|
r["chart"] = __complete_missing_steps(rows=sub_chart, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density, neutral={"avg": 0})
|
|
r["type"] = __get_resource_type_from_db_type(r["type"])
|
|
results.append(r)
|
|
|
|
return results
|
|
|
|
|
|
def get_sessions_location(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
ch_sub_query = __get_basic_constraints(table_name="sessions", data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT user_country, COUNT(1) AS count
|
|
FROM {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY user_country
|
|
ORDER BY user_country;"""
|
|
params = {"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
return {"count": sum(i["count"] for i in rows), "chart": helper.list_to_camel_case(rows)}
|
|
|
|
|
|
def get_speed_index_location(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
ch_sub_query = __get_basic_constraints(table_name="pages", data=args)
|
|
ch_sub_query.append("pages.event_type='LOCATION'")
|
|
ch_sub_query.append("isNotNull(pages.speed_index)")
|
|
ch_sub_query.append("pages.speed_index>0")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT sessions.user_country, COALESCE(avgOrNull(pages.speed_index),0) AS value
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
INNER JOIN {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions USING (session_id)
|
|
WHERE {" AND ".join(ch_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)}
|
|
# print(ch.format(query=ch_query, params=params))
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(pages.speed_index),0) AS avg
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query)};"""
|
|
avg = ch.execute(query=ch_query, params=params)[0]["avg"] if len(rows) > 0 else 0
|
|
return {"value": avg, "chart": helper.list_to_camel_case(rows), "unit": schemas.TemplatePredefinedUnits.MILLISECOND}
|
|
|
|
|
|
def get_pages_response_time(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), density=7, url=None, **args):
|
|
step_size = __get_step_size(startTimestamp, endTimestamp, 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'")
|
|
ch_sub_query_chart.append("isNotNull(pages.response_time)")
|
|
ch_sub_query_chart.append("pages.response_time>0")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
if url is not None:
|
|
ch_sub_query_chart.append(f"url_path = %(value)s")
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.response_time),0) 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;"""
|
|
params = {"step_size": step_size,
|
|
"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp,
|
|
"value": url, **__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(pages.response_time),0) AS avg
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query_chart)};"""
|
|
avg = ch.execute(query=ch_query, params=params)[0]["avg"] if len(rows) > 0 else 0
|
|
results = {"value": avg,
|
|
"chart": __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density, neutral={"value": 0})}
|
|
helper.__time_value(results)
|
|
return results
|
|
|
|
|
|
def get_pages_response_time_distribution(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), density=20, **args):
|
|
ch_sub_query = __get_basic_constraints(table_name="pages", data=args)
|
|
ch_sub_query.append("pages.event_type='LOCATION'")
|
|
ch_sub_query.append("isNotNull(pages.response_time)")
|
|
ch_sub_query.append("pages.response_time>0")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT pages.response_time AS response_time,
|
|
COUNT(1) AS count
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY response_time
|
|
ORDER BY response_time;"""
|
|
params = {"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(pages.response_time),0) AS avg
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query)};"""
|
|
avg = ch.execute(query=ch_query, params=params)[0]["avg"]
|
|
quantiles_keys = [50, 90, 95, 99]
|
|
ch_query = f"""SELECT quantilesExact({",".join([str(i / 100) for i in quantiles_keys])})(pages.response_time) AS values
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query)};"""
|
|
quantiles = ch.execute(query=ch_query, params=params)
|
|
result = {
|
|
"value": avg,
|
|
"total": sum(r["count"] for r in rows),
|
|
"chart": [],
|
|
"percentiles": [{
|
|
"percentile": v,
|
|
"responseTime": (
|
|
quantiles[0]["values"][i] if quantiles[0]["values"][i] is not None and not math.isnan(
|
|
quantiles[0]["values"][i]) else 0)} for i, v in enumerate(quantiles_keys)
|
|
],
|
|
"extremeValues": [{"count": 0}],
|
|
"unit": schemas.TemplatePredefinedUnits.MILLISECOND
|
|
}
|
|
if len(rows) > 0:
|
|
rows = helper.list_to_camel_case(rows)
|
|
_99 = result["percentiles"][-1]["responseTime"]
|
|
extreme_values_first_index = -1
|
|
for i, r in enumerate(rows):
|
|
if r["responseTime"] > _99:
|
|
extreme_values_first_index = i
|
|
break
|
|
|
|
if extreme_values_first_index >= 0:
|
|
extreme_values_first_index += 1
|
|
result["extremeValues"][0]["count"] = sum(r["count"] for r in rows[extreme_values_first_index:])
|
|
# result["extremeValues"][0]["responseTime"] = rows[extreme_values_first_index]["responseTime"]
|
|
|
|
rows = rows[:extreme_values_first_index]
|
|
|
|
# ------- Merge points to reduce chart length till density
|
|
if density < len(quantiles_keys):
|
|
density = len(quantiles_keys)
|
|
|
|
while len(rows) > density:
|
|
true_length = len(rows)
|
|
rows_partitions = []
|
|
offset = 0
|
|
for p in result["percentiles"]:
|
|
rows_partitions.append([])
|
|
for r in rows[offset:]:
|
|
if r["responseTime"] < p["responseTime"]:
|
|
rows_partitions[-1].append(r)
|
|
offset += 1
|
|
else:
|
|
break
|
|
rows_partitions.append(rows[offset:])
|
|
# print(f"len rows partition: {len(rows_partitions)}")
|
|
# for r in rows_partitions:
|
|
# print(f"{r[0]} => {sum(v['count'] for v in r)}")
|
|
|
|
largest_partition = 0
|
|
for i in range(len(rows_partitions)):
|
|
if len(rows_partitions[i]) > len(rows_partitions[largest_partition]):
|
|
largest_partition = i
|
|
# print(f"largest partition: {len(rows_partitions[largest_partition])}")
|
|
|
|
if len(rows_partitions[largest_partition]) <= 2:
|
|
break
|
|
# computing lowest merge diff
|
|
diff = rows[-1]["responseTime"]
|
|
for i in range(1, len(rows_partitions[largest_partition]) - 1, 1):
|
|
v1 = rows_partitions[largest_partition][i]
|
|
v2 = rows_partitions[largest_partition][i + 1]
|
|
if (v2["responseTime"] - v1["responseTime"]) < diff:
|
|
diff = v2["responseTime"] - v1["responseTime"]
|
|
# print(f"lowest merge diff: {diff}")
|
|
i = 1
|
|
while i < len(rows_partitions[largest_partition]) - 1 and true_length > density - 1:
|
|
v1 = rows_partitions[largest_partition][i]
|
|
v2 = rows_partitions[largest_partition][i + 1]
|
|
if (v2["responseTime"] - v1["responseTime"]) == diff:
|
|
rows_partitions[largest_partition][i]["count"] += v2["count"]
|
|
rows_partitions[largest_partition][i]["responseTime"] = v2["responseTime"]
|
|
del rows_partitions[largest_partition][i + 1]
|
|
true_length -= 1
|
|
else:
|
|
i += 1
|
|
|
|
rows = [r for rp in rows_partitions for r in rp]
|
|
|
|
if extreme_values_first_index == len(rows):
|
|
rows.append({"count": 0, "responseTime": rows[-1]["responseTime"] + 10})
|
|
|
|
result["chart"] = rows
|
|
|
|
return result
|
|
|
|
|
|
def get_busiest_time_of_day(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
ch_sub_query = __get_basic_constraints(table_name="sessions", data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT intDiv(toHour(sessions.datetime),2)*2 AS hour,
|
|
COUNT(1) AS count
|
|
FROM {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY hour
|
|
ORDER BY hour ASC;"""
|
|
params = {"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
return __complete_missing_steps(rows=rows, start_time=0, end_time=24000, density=12,
|
|
neutral={"count": 0},
|
|
time_key="hour", time_coefficient=1)
|
|
|
|
|
|
def get_top_metrics(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), value=None, **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
|
|
|
|
if value is not None:
|
|
ch_sub_query.append("pages.url_path = %(value)s")
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(if(pages.response_time>0,pages.response_time,null)),0) AS avg_response_time,
|
|
COALESCE(avgOrNull(if(pages.first_paint>0,pages.first_paint,null)),0) AS avg_first_paint,
|
|
COALESCE(avgOrNull(if(pages.dom_content_loaded_event_time>0,pages.dom_content_loaded_event_time,null)),0) AS avg_dom_content_loaded,
|
|
COALESCE(avgOrNull(if(pages.ttfb>0,pages.ttfb,null)),0) AS avg_till_first_bit,
|
|
COALESCE(avgOrNull(if(pages.time_to_interactive>0,pages.time_to_interactive,null)),0) AS avg_time_to_interactive,
|
|
(SELECT COUNT(1) FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages WHERE {" AND ".join(ch_sub_query)}) AS count_requests
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
AND (isNotNull(pages.response_time) AND pages.response_time>0 OR
|
|
isNotNull(pages.first_paint) AND pages.first_paint>0 OR
|
|
isNotNull(pages.dom_content_loaded_event_time) AND pages.dom_content_loaded_event_time>0 OR
|
|
isNotNull(pages.ttfb) AND pages.ttfb>0 OR
|
|
isNotNull(pages.time_to_interactive) AND pages.time_to_interactive >0);"""
|
|
params = {"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp,
|
|
"value": value, **__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
return helper.dict_to_camel_case(rows[0])
|
|
|
|
|
|
def get_time_to_render(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), density=7, url=None, **args):
|
|
step_size = __get_step_size(startTimestamp, endTimestamp, 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'")
|
|
ch_sub_query_chart.append("isNotNull(pages.visually_complete)")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
if url is not None:
|
|
ch_sub_query_chart.append("pages.url_path = %(value)s")
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.visually_complete),0) 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;"""
|
|
params = {"step_size": step_size,
|
|
"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, "value": url, **__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(pages.visually_complete),0) AS avg
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query_chart)};"""
|
|
avg = ch.execute(query=ch_query, params=params)[0]["avg"] if len(rows) > 0 else 0
|
|
results = {"value": avg, "chart": __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp, density=density,
|
|
neutral={"value": 0})}
|
|
helper.__time_value(results)
|
|
return results
|
|
|
|
|
|
def get_impacted_sessions_by_slow_pages(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), value=None, density=7, **args):
|
|
step_size = __get_step_size(startTimestamp, endTimestamp, density)
|
|
ch_sub_query = __get_basic_constraints(table_name="pages", round_start=True, data=args)
|
|
ch_sub_query.append("pages.event_type='LOCATION'")
|
|
ch_sub_query.append("isNotNull(pages.response_time)")
|
|
ch_sub_query.append("pages.response_time>0")
|
|
sch_sub_query = ch_sub_query[:]
|
|
if value is not None:
|
|
ch_sub_query.append("pages.url_path = %(value)s")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
COUNT(DISTINCT pages.session_id) AS count
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
AND (pages.response_time)>(SELECT COALESCE(avgOrNull(pages.response_time),0)
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(sch_sub_query)})*2
|
|
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,
|
|
"value": value, **__get_constraint_values(args)})
|
|
return __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp, density=density,
|
|
neutral={"count": 0})
|
|
|
|
|
|
def get_memory_consumption(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="performance", round_start=True,
|
|
data=args)
|
|
ch_sub_query_chart.append("performance.event_type='PERFORMANCE'")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(performance.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
COALESCE(avgOrNull(performance.avg_used_js_heap_size),0) AS value
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS performance
|
|
WHERE {" AND ".join(ch_sub_query_chart)}
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp ASC;"""
|
|
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)
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(performance.avg_used_js_heap_size),0) AS avg
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS performance
|
|
WHERE {" AND ".join(ch_sub_query_chart)};"""
|
|
avg = ch.execute(query=ch_query, params=params)[0]["avg"] if len(rows) > 0 else 0
|
|
return {"value": avg,
|
|
"chart": helper.list_to_camel_case(__complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"value": 0})),
|
|
"unit": schemas.TemplatePredefinedUnits.MEMORY}
|
|
|
|
|
|
def get_avg_cpu(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="performance", round_start=True,
|
|
data=args)
|
|
ch_sub_query_chart.append("performance.event_type='PERFORMANCE'")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(performance.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
COALESCE(avgOrNull(performance.avg_cpu),0) AS value
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS performance
|
|
WHERE {" AND ".join(ch_sub_query_chart)}
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp ASC;"""
|
|
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)
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(performance.avg_cpu),0) AS avg
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS performance
|
|
WHERE {" AND ".join(ch_sub_query_chart)};"""
|
|
avg = ch.execute(query=ch_query, params=params)[0]["avg"] if len(rows) > 0 else 0
|
|
return {"value": avg,
|
|
"chart": helper.list_to_camel_case(__complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"value": 0})),
|
|
"unit": schemas.TemplatePredefinedUnits.PERCENTAGE}
|
|
|
|
|
|
def get_avg_fps(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="performance", round_start=True,
|
|
data=args)
|
|
ch_sub_query_chart.append("performance.event_type='PERFORMANCE'")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(performance.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
COALESCE(avgOrNull(performance.avg_fps),0) AS value
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS performance
|
|
WHERE {" AND ".join(ch_sub_query_chart)}
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp ASC;"""
|
|
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)
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(performance.avg_fps),0) AS avg
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS performance
|
|
WHERE {" AND ".join(ch_sub_query_chart)};"""
|
|
avg = ch.execute(query=ch_query, params=params)[0]["avg"] if len(rows) > 0 else 0
|
|
return {"value": avg,
|
|
"chart": helper.list_to_camel_case(__complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"value": 0})),
|
|
"unit": schemas.TemplatePredefinedUnits.FRAME}
|
|
|
|
|
|
def get_crashes(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", round_start=True, data=args)
|
|
ch_sub_query.append("has(sessions.issue_types,'crash')")
|
|
ch_sub_query_chart = __get_basic_constraints(table_name="sessions", round_start=True,
|
|
data=args)
|
|
ch_sub_query_chart.append("has(sessions.issue_types,'crash')")
|
|
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(1) 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)
|
|
if len(rows) == 0:
|
|
browsers = []
|
|
else:
|
|
ch_query = f"""SELECT b.user_browser AS browser,
|
|
sum(bv.count) AS total,
|
|
groupArray([bv.user_browser_version, toString(bv.count)]) AS versions
|
|
FROM (
|
|
SELECT sessions.user_browser
|
|
FROM {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY sessions.user_browser
|
|
ORDER BY COUNT(1) DESC
|
|
LIMIT 3
|
|
) AS b
|
|
INNER JOIN
|
|
(
|
|
SELECT sessions.user_browser,
|
|
sessions.user_browser_version,
|
|
COUNT(1) AS count
|
|
FROM {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY sessions.user_browser,
|
|
sessions.user_browser_version
|
|
ORDER BY count DESC
|
|
) AS bv USING (user_browser)
|
|
GROUP BY b.user_browser
|
|
ORDER BY b.user_browser;"""
|
|
browsers = ch.execute(query=ch_query, params=params)
|
|
total = sum(r["total"] for r in browsers)
|
|
for r in browsers:
|
|
r["percentage"] = r["total"] / (total / 100)
|
|
versions = []
|
|
for i in range(len(r["versions"][:3])):
|
|
versions.append({r["versions"][i][0]: int(r["versions"][i][1]) / (r["total"] / 100)})
|
|
r["versions"] = versions
|
|
|
|
result = {"chart": __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"value": 0}),
|
|
"browsers": browsers,
|
|
"unit": schemas.TemplatePredefinedUnits.COUNT}
|
|
return result
|
|
|
|
|
|
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(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": 4, **__get_constraint_values(args)}
|
|
# print(ch.format(query=ch_query, params=params))
|
|
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)
|
|
|
|
result = {"4xx": __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density, neutral=neutral)}
|
|
params["status_code"] = 5
|
|
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)
|
|
result["5xx"] = __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density, neutral=neutral)
|
|
return result
|
|
|
|
|
|
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_slowest_domains(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
ch_sub_query = __get_basic_constraints(table_name="resources", data=args)
|
|
ch_sub_query.append("isNotNull(resources.duration)")
|
|
ch_sub_query.append("resources.duration>0")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT resources.url_host AS domain,
|
|
COALESCE(avgOrNull(resources.duration),0) AS value
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY resources.url_host
|
|
ORDER BY value DESC
|
|
LIMIT 5;"""
|
|
params = {"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(resources.duration),0) AS avg
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query)};"""
|
|
avg = ch.execute(query=ch_query, params=params)[0]["avg"] if len(rows) > 0 else 0
|
|
return {"value": avg, "chart": rows, "unit": schemas.TemplatePredefinedUnits.MILLISECOND}
|
|
|
|
|
|
def get_errors_per_domains(project_id, 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
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT
|
|
requests.url_host AS domain,
|
|
COUNT(1) AS errors_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 5;"""
|
|
params = {"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
return helper.list_to_camel_case(rows)
|
|
|
|
|
|
def get_sessions_per_browser(project_id, startTimestamp=TimeUTC.now(delta_days=-1), endTimestamp=TimeUTC.now(),
|
|
platform=None, **args):
|
|
ch_sub_query = __get_basic_constraints(table_name="sessions", data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT b.user_browser AS browser,
|
|
b.count,
|
|
groupArray([bv.user_browser_version, toString(bv.count)]) AS versions
|
|
FROM
|
|
(
|
|
SELECT sessions.user_browser,
|
|
COUNT(1) AS count
|
|
FROM {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY sessions.user_browser
|
|
ORDER BY count DESC
|
|
LIMIT 3
|
|
) AS b
|
|
INNER JOIN
|
|
(
|
|
SELECT sessions.user_browser,
|
|
sessions.user_browser_version,
|
|
COUNT(1) AS count
|
|
FROM {exp_ch_helper.get_main_sessions_table(startTimestamp)} AS sessions
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY
|
|
sessions.user_browser,
|
|
sessions.user_browser_version
|
|
ORDER BY count DESC
|
|
LIMIT 3
|
|
) AS bv USING (user_browser)
|
|
GROUP BY
|
|
b.user_browser, b.count
|
|
ORDER BY b.count DESC;"""
|
|
params = {"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
for i, r in enumerate(rows):
|
|
versions = {}
|
|
for j in range(len(r["versions"])):
|
|
versions[r["versions"][j][0]] = int(r["versions"][j][1])
|
|
r.pop("versions")
|
|
rows[i] = {**r, **versions}
|
|
return {"count": sum(i["count"] for i in rows), "chart": rows}
|
|
|
|
|
|
def get_calls_errors(project_id, startTimestamp=TimeUTC.now(delta_days=-1), endTimestamp=TimeUTC.now(),
|
|
platform=None, **args):
|
|
ch_sub_query = __get_basic_constraints(table_name="requests", data=args)
|
|
ch_sub_query.append("requests.event_type = 'REQUEST'")
|
|
ch_sub_query.append("intDiv(requests.status, 100) != 2")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT requests.method,
|
|
requests.url_hostpath,
|
|
COUNT(1) AS all_requests,
|
|
SUM(if(intDiv(requests.status, 100) == 4, 1, 0)) AS _4xx,
|
|
SUM(if(intDiv(requests.status, 100) == 5, 1, 0)) AS _5xx
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS requests
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY requests.method, requests.url_hostpath
|
|
ORDER BY (_4xx + _5xx) DESC, all_requests DESC
|
|
LIMIT 50;"""
|
|
params = {"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
return helper.list_to_camel_case(rows)
|
|
|
|
|
|
def __get_calls_errors_4xx_or_5xx(status, project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(),
|
|
platform=None, **args):
|
|
ch_sub_query = __get_basic_constraints(table_name="requests", data=args)
|
|
ch_sub_query.append("requests.event_type = 'REQUEST'")
|
|
ch_sub_query.append(f"intDiv(requests.status, 100) == {status}")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT requests.method,
|
|
requests.url_hostpath,
|
|
COUNT(1) AS all_requests
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS requests
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY requests.method, requests.url_hostpath
|
|
ORDER BY all_requests DESC
|
|
LIMIT 10;"""
|
|
params = {"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(rows)
|
|
|
|
|
|
def get_calls_errors_4xx(project_id, startTimestamp=TimeUTC.now(delta_days=-1), endTimestamp=TimeUTC.now(),
|
|
platform=None, **args):
|
|
return __get_calls_errors_4xx_or_5xx(status=4, project_id=project_id, startTimestamp=startTimestamp,
|
|
endTimestamp=endTimestamp,
|
|
platform=platform, **args)
|
|
|
|
|
|
def get_calls_errors_5xx(project_id, startTimestamp=TimeUTC.now(delta_days=-1), endTimestamp=TimeUTC.now(),
|
|
platform=None, **args):
|
|
return __get_calls_errors_4xx_or_5xx(status=5, project_id=project_id, startTimestamp=startTimestamp,
|
|
endTimestamp=endTimestamp,
|
|
platform=platform, **args)
|
|
|
|
|
|
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 resource_type_vs_response_end(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="resources", round_start=True, data=args)
|
|
ch_sub_query_chart_response_end = __get_basic_constraints(table_name="pages", round_start=True,
|
|
data=args)
|
|
ch_sub_query_chart_response_end.append("pages.event_type='LOCATION'")
|
|
ch_sub_query_chart_response_end.append("isNotNull(pages.response_end)")
|
|
ch_sub_query_chart_response_end.append("pages.response_end>0")
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
ch_sub_query_chart_response_end += meta_condition
|
|
params = {"step_size": step_size,
|
|
"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(resources.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
COUNT(1) AS total,
|
|
SUM(if(resources.type='fetch',1,0)) AS xhr
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query_chart)}
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp;"""
|
|
# print(ch.format(query=ch_query, params=params))
|
|
actions = ch.execute(query=ch_query, params=params)
|
|
actions = __complete_missing_steps(rows=actions, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"total": 0, "xhr": 0})
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.response_end),0) AS avg_response_end
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query_chart_response_end)}
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp;"""
|
|
response_end = ch.execute(query=ch_query, params=params)
|
|
response_end = __complete_missing_steps(rows=response_end, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"avg_response_end": 0})
|
|
return helper.list_to_camel_case(__merge_charts(response_end, actions))
|
|
|
|
|
|
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}))}
|
|
|
|
|
|
# TODO: super slow (try using sampling)
|
|
def get_resources_vs_visually_complete(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="resources", data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(s.base_datetime, toIntervalSecond(%(step_size)s))) * 1000 AS timestamp,
|
|
COALESCE(avgOrNull(NULLIF(s.count,0)),0) AS avg,
|
|
groupArray([toString(t.type), toString(t.xavg)]) AS types
|
|
FROM
|
|
( SELECT resources.session_id,
|
|
MIN(resources.datetime) AS base_datetime,
|
|
COUNT(1) AS count
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY resources.session_id
|
|
) AS s
|
|
INNER JOIN
|
|
(SELECT session_id,
|
|
type,
|
|
COALESCE(avgOrNull(NULLIF(count,0)),0) AS xavg
|
|
FROM (SELECT resources.session_id, resources.type, COUNT(1) AS count
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query)}
|
|
GROUP BY resources.session_id, resources.type) AS ss
|
|
GROUP BY ss.session_id, ss.type) AS t USING (session_id)
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp ASC;"""
|
|
params = {"step_size": step_size,
|
|
"project_id": project_id,
|
|
"startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)}
|
|
# print(">>>>>>>>>>>>>>")
|
|
# print(ch.format(query=ch_query, params=params))
|
|
# print(">>>>>>>>>>>>>>")
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
for r in rows:
|
|
types = {}
|
|
for i in range(len(r["types"])):
|
|
if r["types"][i][0] not in types:
|
|
types[r["types"][i][0]] = []
|
|
types[r["types"][i][0]].append(float(r["types"][i][1]))
|
|
for i in types:
|
|
types[i] = sum(types[i]) / len(types[i])
|
|
r["types"] = types
|
|
resources = __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"avg": 0, "types": {}})
|
|
time_to_render = get_time_to_render(project_id=project_id, startTimestamp=startTimestamp,
|
|
endTimestamp=endTimestamp, density=density,
|
|
**args)
|
|
|
|
return helper.list_to_camel_case(
|
|
__merge_charts(
|
|
[{"timestamp": i["timestamp"], "avgCountResources": i["avg"], "types": i["types"]} for i in resources],
|
|
[{"timestamp": i["timestamp"], "avgTimeToRender": i["value"]} for i in time_to_render["chart"]]))
|
|
|
|
|
|
def get_resources_count_by_type(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="resources", round_start=True, data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT timestamp,
|
|
groupArray([toString(t.type), toString(t.count)]) AS types
|
|
FROM(SELECT toUnixTimestamp(toStartOfInterval(resources.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
resources.type,
|
|
COUNT(1) AS count
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query_chart)}
|
|
GROUP BY timestamp,resources.type
|
|
ORDER BY timestamp) AS t
|
|
GROUP 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)
|
|
for r in rows:
|
|
for t in r["types"]:
|
|
r[t[0]] = t[1]
|
|
r.pop("types")
|
|
return __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={k: 0 for k in RESOURCS_TYPE_TO_DB_TYPE.keys()})
|
|
|
|
|
|
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_application_activity_avg_page_load_time(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
with ch_client.ClickHouseClient() as ch:
|
|
row = __get_application_activity_avg_page_load_time(ch, project_id, startTimestamp, endTimestamp, **args)
|
|
results = helper.dict_to_camel_case(row)
|
|
results["chart"] = get_performance_avg_page_load_time(ch, project_id, startTimestamp, endTimestamp, **args)
|
|
diff = endTimestamp - startTimestamp
|
|
endTimestamp = startTimestamp
|
|
startTimestamp = endTimestamp - diff
|
|
row = __get_application_activity_avg_page_load_time(ch, project_id, startTimestamp, endTimestamp, **args)
|
|
previous = helper.dict_to_camel_case(row)
|
|
results["progress"] = helper.__progress(old_val=previous["value"], new_val=results["value"])
|
|
helper.__time_value(results)
|
|
return results
|
|
|
|
|
|
def __get_application_activity_avg_page_load_time(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_sub_query.append("pages.load_event_end>0")
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(pages.load_event_end),0) AS value
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query)};"""
|
|
params = {"project_id": project_id, "startTimestamp": startTimestamp, "endTimestamp": endTimestamp,
|
|
**__get_constraint_values(args)}
|
|
# print(ch.format(query=ch_query, params=params))
|
|
row = ch.execute(query=ch_query, params=params)[0]
|
|
result = row
|
|
for k in result:
|
|
if result[k] is None:
|
|
result[k] = 0
|
|
return result
|
|
|
|
|
|
def get_performance_avg_page_load_time(ch, project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(),
|
|
density=19, resources=None, **args):
|
|
step_size = __get_step_size(endTimestamp=endTimestamp, startTimestamp=startTimestamp, density=density)
|
|
location_constraints = []
|
|
meta_condition = __get_meta_constraint(args)
|
|
|
|
location_constraints_vals = {}
|
|
|
|
if resources and len(resources) > 0:
|
|
for r in resources:
|
|
if r["type"] == "LOCATION":
|
|
location_constraints.append(f"pages.url_path = %(val_{len(location_constraints)})s")
|
|
location_constraints_vals["val_" + str(len(location_constraints) - 1)] = r['value']
|
|
|
|
params = {"step_size": step_size, "project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp}
|
|
|
|
ch_sub_query_chart = __get_basic_constraints(table_name="pages", round_start=True,
|
|
data=args)
|
|
ch_sub_query_chart.append("pages.event_type='LOCATION'")
|
|
ch_sub_query_chart += meta_condition
|
|
ch_sub_query_chart.append("pages.load_event_end>0")
|
|
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.load_event_end),0) AS value
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query_chart)}
|
|
{(f' AND ({" OR ".join(location_constraints)})') if len(location_constraints) > 0 else ""}
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp;"""
|
|
|
|
rows = ch.execute(query=ch_query, params={**params, **location_constraints_vals, **__get_constraint_values(args)})
|
|
pages = __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density, neutral={"value": 0})
|
|
|
|
# for s in pages:
|
|
# for k in s:
|
|
# if s[k] is None:
|
|
# s[k] = 0
|
|
return pages
|
|
|
|
|
|
def get_application_activity_avg_image_load_time(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
with ch_client.ClickHouseClient() as ch:
|
|
row = __get_application_activity_avg_image_load_time(ch, project_id, startTimestamp, endTimestamp, **args)
|
|
results = helper.dict_to_camel_case(row)
|
|
results["chart"] = get_performance_avg_image_load_time(ch, project_id, startTimestamp, endTimestamp, **args)
|
|
diff = endTimestamp - startTimestamp
|
|
endTimestamp = startTimestamp
|
|
startTimestamp = endTimestamp - diff
|
|
row = __get_application_activity_avg_image_load_time(ch, project_id, startTimestamp, endTimestamp, **args)
|
|
previous = helper.dict_to_camel_case(row)
|
|
results["progress"] = helper.__progress(old_val=previous["value"], new_val=results["value"])
|
|
helper.__time_value(results)
|
|
return results
|
|
|
|
|
|
def __get_application_activity_avg_image_load_time(ch, project_id, startTimestamp, endTimestamp, **args):
|
|
ch_sub_query = __get_basic_constraints(table_name="resources", data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
ch_sub_query.append("resources.type= %(type)s")
|
|
ch_sub_query.append("resources.duration>0")
|
|
ch_query = f"""\
|
|
SELECT COALESCE(avgOrNull(resources.duration),0) AS value
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query)};"""
|
|
row = ch.execute(query=ch_query,
|
|
params={"project_id": project_id, "type": 'img', "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)})[0]
|
|
result = row
|
|
# for k in result:
|
|
# if result[k] is None:
|
|
# result[k] = 0
|
|
return result
|
|
|
|
|
|
def get_performance_avg_image_load_time(ch, project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(),
|
|
density=19, resources=None, **args):
|
|
step_size = __get_step_size(endTimestamp=endTimestamp, startTimestamp=startTimestamp, density=density)
|
|
img_constraints = []
|
|
ch_sub_query_chart = __get_basic_constraints(table_name="resources", round_start=True, data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
img_constraints_vals = {}
|
|
|
|
if resources and len(resources) > 0:
|
|
for r in resources:
|
|
if r["type"] == "IMG":
|
|
img_constraints.append(f"resources.url_hostpath = %(val_{len(img_constraints)})s")
|
|
img_constraints_vals["val_" + str(len(img_constraints) - 1)] = r['value']
|
|
|
|
params = {"step_size": step_size, "project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp}
|
|
ch_sub_query_chart.append("resources.duration>0")
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(resources.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(resources.duration),0) AS value
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query_chart)}
|
|
AND resources.type = 'img'
|
|
{(f' AND ({" OR ".join(img_constraints)})') if len(img_constraints) > 0 else ""}
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp;"""
|
|
rows = ch.execute(query=ch_query, params={**params, **img_constraints_vals, **__get_constraint_values(args)})
|
|
images = __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density, neutral={"value": 0})
|
|
|
|
# for s in images:
|
|
# for k in s:
|
|
# if s[k] is None:
|
|
# s[k] = 0
|
|
return images
|
|
|
|
|
|
def get_application_activity_avg_request_load_time(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
with ch_client.ClickHouseClient() as ch:
|
|
row = __get_application_activity_avg_request_load_time(ch, project_id, startTimestamp, endTimestamp, **args)
|
|
results = helper.dict_to_camel_case(row)
|
|
results["chart"] = get_performance_avg_request_load_time(ch, project_id, startTimestamp, endTimestamp, **args)
|
|
diff = endTimestamp - startTimestamp
|
|
endTimestamp = startTimestamp
|
|
startTimestamp = endTimestamp - diff
|
|
row = __get_application_activity_avg_request_load_time(ch, project_id, startTimestamp, endTimestamp, **args)
|
|
previous = helper.dict_to_camel_case(row)
|
|
results["progress"] = helper.__progress(old_val=previous["value"], new_val=results["value"])
|
|
helper.__time_value(results)
|
|
return results
|
|
|
|
|
|
def __get_application_activity_avg_request_load_time(ch, project_id, startTimestamp, endTimestamp, **args):
|
|
ch_sub_query = __get_basic_constraints(table_name="resources", data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
ch_sub_query.append("resources.type= %(type)s")
|
|
ch_sub_query.append("resources.duration>0")
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(resources.duration),0) AS value
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query)};"""
|
|
row = ch.execute(query=ch_query,
|
|
params={"project_id": project_id, "type": 'fetch', "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp, **__get_constraint_values(args)})[0]
|
|
result = row
|
|
# for k in result:
|
|
# if result[k] is None:
|
|
# result[k] = 0
|
|
return result
|
|
|
|
|
|
def get_performance_avg_request_load_time(ch, project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(),
|
|
density=19, resources=None, **args):
|
|
step_size = __get_step_size(endTimestamp=endTimestamp, startTimestamp=startTimestamp, density=density)
|
|
request_constraints = []
|
|
ch_sub_query_chart = __get_basic_constraints(table_name="resources", round_start=True, data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
|
|
request_constraints_vals = {}
|
|
|
|
if resources and len(resources) > 0:
|
|
for r in resources:
|
|
if r["type"] != "IMG" and r["type"] == "LOCATION":
|
|
request_constraints.append(f"resources.url_hostpath = %(val_{len(request_constraints)})s")
|
|
request_constraints_vals["val_" + str(len(request_constraints) - 1)] = r['value']
|
|
params = {"step_size": step_size, "project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp}
|
|
ch_sub_query_chart.append("resources.duration>0")
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(resources.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(resources.duration),0) AS value
|
|
FROM {exp_ch_helper.get_main_resources_table(startTimestamp)} AS resources
|
|
WHERE {" AND ".join(ch_sub_query_chart)}
|
|
AND resources.type = 'fetch'
|
|
{(f' AND ({" OR ".join(request_constraints)})') if len(request_constraints) > 0 else ""}
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp;"""
|
|
rows = ch.execute(query=ch_query,
|
|
params={**params, **request_constraints_vals, **__get_constraint_values(args)})
|
|
requests = __complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp, density=density,
|
|
neutral={"value": 0})
|
|
|
|
# for s in requests:
|
|
# for k in s:
|
|
# if s[k] is None:
|
|
# s[k] = 0
|
|
return requests
|
|
|
|
|
|
def get_page_metrics_avg_dom_content_load_start(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
with ch_client.ClickHouseClient() as ch:
|
|
results = {}
|
|
rows = __get_page_metrics_avg_dom_content_load_start(ch, project_id, startTimestamp, endTimestamp, **args)
|
|
if len(rows) > 0:
|
|
results = helper.dict_to_camel_case(rows[0])
|
|
results["chart"] = __get_page_metrics_avg_dom_content_load_start_chart(ch, project_id, startTimestamp,
|
|
endTimestamp, **args)
|
|
diff = endTimestamp - startTimestamp
|
|
endTimestamp = startTimestamp
|
|
startTimestamp = endTimestamp - diff
|
|
rows = __get_page_metrics_avg_dom_content_load_start(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"])
|
|
helper.__time_value(results)
|
|
return results
|
|
|
|
|
|
def __get_page_metrics_avg_dom_content_load_start(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_sub_query.append("pages.dom_content_loaded_event_end>0")
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(pages.dom_content_loaded_event_end),0) AS value
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query)};"""
|
|
params = {"project_id": project_id, "type": 'fetch', "startTimestamp": startTimestamp, "endTimestamp": endTimestamp,
|
|
**__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
return rows
|
|
|
|
|
|
def __get_page_metrics_avg_dom_content_load_start_chart(ch, project_id, startTimestamp, endTimestamp, density=19,
|
|
**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}
|
|
ch_sub_query_chart.append("pages.dom_content_loaded_event_end>0")
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.dom_content_loaded_event_end),0) 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})
|
|
|
|
# for s in rows:
|
|
# for k in s:
|
|
# if s[k] is None:
|
|
# s[k] = 0
|
|
return rows
|
|
|
|
|
|
def get_page_metrics_avg_first_contentful_pixel(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
with ch_client.ClickHouseClient() as ch:
|
|
rows = __get_page_metrics_avg_first_contentful_pixel(ch, project_id, startTimestamp, endTimestamp, **args)
|
|
if len(rows) > 0:
|
|
results = helper.dict_to_camel_case(rows[0])
|
|
results["chart"] = __get_page_metrics_avg_first_contentful_pixel_chart(ch, project_id, startTimestamp,
|
|
endTimestamp, **args)
|
|
diff = endTimestamp - startTimestamp
|
|
endTimestamp = startTimestamp
|
|
startTimestamp = endTimestamp - diff
|
|
rows = __get_page_metrics_avg_first_contentful_pixel(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"])
|
|
helper.__time_value(results)
|
|
return results
|
|
|
|
|
|
def __get_page_metrics_avg_first_contentful_pixel(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_sub_query.append("pages.first_contentful_paint_time>0")
|
|
# changed dom_content_loaded_event_start to dom_content_loaded_event_end
|
|
ch_query = f"""\
|
|
SELECT COALESCE(avgOrNull(pages.first_contentful_paint_time),0) AS value
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query)};"""
|
|
params = {"project_id": project_id, "type": 'fetch', "startTimestamp": startTimestamp, "endTimestamp": endTimestamp,
|
|
**__get_constraint_values(args)}
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
return rows
|
|
|
|
|
|
def __get_page_metrics_avg_first_contentful_pixel_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}
|
|
ch_sub_query_chart.append("pages.first_contentful_paint_time>0")
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.first_contentful_paint_time),0) 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})
|
|
return rows
|
|
|
|
|
|
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_user_activity_avg_session_duration(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), **args):
|
|
results = {}
|
|
|
|
with ch_client.ClickHouseClient() as ch:
|
|
rows = __get_user_activity_avg_session_duration(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_session_duration_chart(ch, project_id, startTimestamp,
|
|
endTimestamp, **args)
|
|
diff = endTimestamp - startTimestamp
|
|
endTimestamp = startTimestamp
|
|
startTimestamp = endTimestamp - diff
|
|
rows = __get_user_activity_avg_session_duration(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"])
|
|
helper.__time_value(results)
|
|
return results
|
|
|
|
|
|
def __get_user_activity_avg_session_duration(ch, project_id, startTimestamp, endTimestamp, **args):
|
|
ch_sub_query = __get_basic_constraints(table_name="sessions", data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query += meta_condition
|
|
ch_sub_query.append("isNotNull(sessions.duration)")
|
|
ch_sub_query.append("sessions.duration>0")
|
|
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(sessions.duration),0) AS value
|
|
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)}
|
|
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
|
|
return rows
|
|
|
|
|
|
def __get_user_activity_avg_session_duration_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="sessions", round_start=True, data=args)
|
|
meta_condition = __get_meta_constraint(args)
|
|
ch_sub_query_chart += meta_condition
|
|
ch_sub_query_chart.append("isNotNull(sessions.duration)")
|
|
ch_sub_query_chart.append("sessions.duration>0")
|
|
params = {"step_size": step_size, "project_id": project_id, "startTimestamp": startTimestamp,
|
|
"endTimestamp": endTimestamp}
|
|
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(sessions.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(sessions.duration),0) 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;"""
|
|
|
|
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})
|
|
return rows
|
|
|
|
|
|
def get_top_metrics_avg_response_time(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 COALESCE(avgOrNull(pages.response_time),0) AS value
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query)} AND isNotNull(pages.response_time) AND pages.response_time>0;"""
|
|
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)
|
|
results = rows[0]
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second ))*1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.response_time),0) AS value
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query_chart)} AND isNotNull(pages.response_time) AND pages.response_time>0
|
|
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})
|
|
results["chart"] = rows
|
|
helper.__time_value(results)
|
|
return helper.dict_to_camel_case(results)
|
|
|
|
|
|
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_top_metrics_avg_first_paint(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), value=None, density=20, **args):
|
|
step_size = __get_step_size(startTimestamp, endTimestamp, 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 COALESCE(avgOrNull(pages.first_paint),0) AS value
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query)} AND isNotNull(pages.first_paint) AND pages.first_paint>0;"""
|
|
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)
|
|
results = rows[0]
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.first_paint),0) AS value
|
|
FROM {exp_ch_helper.get_main_events_table(startTimestamp)} AS pages
|
|
WHERE {" AND ".join(ch_sub_query_chart)} AND isNotNull(pages.first_paint) AND pages.first_paint>0
|
|
GROUP BY timestamp
|
|
ORDER BY timestamp;;"""
|
|
rows = ch.execute(query=ch_query, params=params)
|
|
results["chart"] = helper.list_to_camel_case(__complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"value": 0}))
|
|
|
|
helper.__time_value(results)
|
|
return helper.dict_to_camel_case(results)
|
|
|
|
|
|
def get_top_metrics_avg_dom_content_loaded(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), value=None, density=19, **args):
|
|
step_size = __get_step_size(startTimestamp, endTimestamp, 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")
|
|
ch_sub_query.append("isNotNull(pages.dom_content_loaded_event_time)")
|
|
ch_sub_query.append("pages.dom_content_loaded_event_time>0")
|
|
ch_sub_query_chart.append("isNotNull(pages.dom_content_loaded_event_time)")
|
|
ch_sub_query_chart.append("pages.dom_content_loaded_event_time>0")
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(pages.dom_content_loaded_event_time),0) 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)
|
|
results = helper.dict_to_camel_case(rows[0])
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.dom_content_loaded_event_time),0) 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)
|
|
results["chart"] = helper.list_to_camel_case(__complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"value": 0}))
|
|
helper.__time_value(results)
|
|
return results
|
|
|
|
|
|
def get_top_metrics_avg_till_first_bit(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), value=None, density=20, **args):
|
|
step_size = __get_step_size(startTimestamp, endTimestamp, 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")
|
|
ch_sub_query.append("isNotNull(pages.ttfb)")
|
|
ch_sub_query.append("pages.ttfb>0")
|
|
ch_sub_query_chart.append("isNotNull(pages.ttfb)")
|
|
ch_sub_query_chart.append("pages.ttfb>0")
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(pages.ttfb),0) 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)
|
|
results = rows[0]
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.ttfb),0) 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)
|
|
results["chart"] = helper.list_to_camel_case(__complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"value": 0}))
|
|
helper.__time_value(results)
|
|
return helper.dict_to_camel_case(results)
|
|
|
|
|
|
def get_top_metrics_avg_time_to_interactive(project_id, startTimestamp=TimeUTC.now(delta_days=-1),
|
|
endTimestamp=TimeUTC.now(), value=None, density=20, **args):
|
|
step_size = __get_step_size(startTimestamp, endTimestamp, 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")
|
|
ch_sub_query.append("isNotNull(pages.time_to_interactive)")
|
|
ch_sub_query.append("pages.time_to_interactive >0")
|
|
ch_sub_query_chart.append("isNotNull(pages.time_to_interactive)")
|
|
ch_sub_query_chart.append("pages.time_to_interactive >0")
|
|
with ch_client.ClickHouseClient() as ch:
|
|
ch_query = f"""SELECT COALESCE(avgOrNull(pages.time_to_interactive),0) 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)
|
|
results = rows[0]
|
|
ch_query = f"""SELECT toUnixTimestamp(toStartOfInterval(pages.datetime, INTERVAL %(step_size)s second)) * 1000 AS timestamp,
|
|
COALESCE(avgOrNull(pages.time_to_interactive),0) 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)
|
|
results["chart"] = helper.list_to_camel_case(__complete_missing_steps(rows=rows, start_time=startTimestamp,
|
|
end_time=endTimestamp,
|
|
density=density,
|
|
neutral={"value": 0}))
|
|
helper.__time_value(results)
|
|
return helper.dict_to_camel_case(results)
|
|
|
|
|
|
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
|