Merge remote-tracking branch 'origin/sessions_insights' into api-v1.9.5
# Conflicts: # ee/api/routers/ee.py
This commit is contained in:
Taha Yassine Kraiem
commit
fbcdee8ea1
3 changed files with 298 additions and 0 deletions
281
ee/api/chalicelib/core/sessions_insights.py
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281
ee/api/chalicelib/core/sessions_insights.py
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@ -0,0 +1,281 @@
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from chalicelib.utils import ch_client
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from datetime import datetime, timedelta
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def _table_slice(table, index):
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col = list()
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for row in table:
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col.append(row[index])
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return col
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def _table_where(table, index, value):
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new_table = list()
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for row in table:
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if row[index] == value:
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new_table.append(row)
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return new_table
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def _sum_table_index(table, index):
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s = 0
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count = 0
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for row in table:
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v = row[index]
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if v is None:
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continue
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s += v
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count += 1
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return s
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def _mean_table_index(table, index):
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s = _sum_table_index(table, index)
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c = len(table)
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return s/c
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def _sort_table_index(table, index, reverse=False):
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return sorted(table, key= lambda k: k[index], reverse=reverse)
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def _select_rec(l, selector):
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print('selector:', selector)
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print('list:', l)
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if len(selector) == 1:
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return l[selector[0]]
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else:
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s = selector[0]
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L = l[s]
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type_ = type(s)
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if type_ == slice:
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return [_select_rec(l_, selector[1:]) for l_ in L]
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elif type_ == int:
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return [_select_rec(L, selector[1:])]
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#TODO Deal with None values
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def __get_two_values(response, time_index='hh', name_index='name'):
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columns = list(response[0].keys())
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name_index_val = columns.index(name_index)
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time_index_value = columns.index(time_index)
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table = [list(r.values()) for r in response]
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table_hh1 = list()
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table_hh2 = list()
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hh_vals = list()
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names_hh1 = list()
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names_hh2 = list()
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for e in table:
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if e[time_index_value] not in hh_vals and len(hh_vals) == 2:
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break
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elif e[time_index_value] not in hh_vals:
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hh_vals.append(e[time_index_value])
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if len(hh_vals) == 1:
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table_hh1.append(e)
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if e[name_index_val] not in names_hh1:
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names_hh1.append(e[name_index_val])
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elif len(hh_vals) == 2:
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table_hh2.append(e)
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if e[name_index_val] not in names_hh2:
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names_hh2.append(e[name_index_val])
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return table_hh1, table_hh2, columns, names_hh1, names_hh2
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def __handle_timestep(time_step):
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base = "{0}"
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if time_step == 'hour':
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return f"toStartOfHour({base})", 3600
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elif time_step == 'day':
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return f"toStartOfDay({base})", 24*3600
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elif time_step == 'week':
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return f"toStartOfWeek({base})", 7*24*3600
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else:
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assert type(time_step) == int, "time_step must be {'hour', 'day', 'week'} or an integer representing the time step in minutes"
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return f"toStartOfInterval({base}, INTERVAL {time_step} minute)", int(time_step)*60
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def query_requests_by_period(project_id, start_time=(datetime.now()-timedelta(days=1)).strftime('%Y-%m-%d'),
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end_time=datetime.now().strftime('%Y-%m-%d'), time_step=3600, conn=None):
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function, steps = __handle_timestep(time_step)
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query = f"""WITH
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{function.format(f"toDateTime64('{start_time}', 0)")} as start,
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{function.format(f"toDateTime64('{end_time}', 0)")} as end
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SELECT T1.hh, count(T2.session_id) as sessions, avg(T2.success) as success_rate, T2.url_host as names, T2.url_path as source, avg(T2.duration) as avg_duration FROM (SELECT arrayJoin(arrayMap(x -> toDateTime(x), range(toUInt32(start), toUInt32(end), {steps}))) as hh) AS T1
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LEFT JOIN (SELECT session_id, url_host, url_path, success, message, duration, {function.format('datetime')} as dtime FROM experimental.events WHERE project_id = {project_id} AND event_type = 'REQUEST') AS T2 ON T2.dtime = T1.hh GROUP BY T1.hh, T2.url_host, T2.url_path ORDER BY T1.hh DESC;
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"""
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if conn is None:
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with ch_client.ClickHouseClient() as conn:
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res = conn.execute(query=query)
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else:
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res = conn.execute(query=query)
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table_hh1, table_hh2, columns, this_period_hosts, last_period_hosts = __get_two_values(res, time_index='hh', name_index='source')
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del res
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new_hosts = [x for x in this_period_hosts if x not in last_period_hosts]
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common_names = [x for x in this_period_hosts if x not in new_hosts]
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source_idx = columns.index('source')
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duration_idx = columns.index('avg_duration')
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success_idx = columns.index('success_rate')
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delta_duration = dict()
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delta_success = dict()
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for n in common_names:
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d1_tmp = _table_where(table_hh1, source_idx, n)
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# d1_tmp = table_hh1[table_hh1[:, source_idx] == n]
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d2_tmp = _table_where(table_hh2, source_idx, n)
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# d2_tmp = table_hh2[table_hh2[:, source_idx] == n]
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delta_duration[n] = _mean_table_index(d1_tmp, duration_idx) - _mean_table_index(d2_tmp, duration_idx)
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# delta_duration[n] = d1_tmp[:, duration_idx].mean() - d2_tmp[:, duration_idx].mean()
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delta_success[n] = _mean_table_index(d1_tmp, success_idx) - _mean_table_index(d2_tmp, success_idx)
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# delta_success[n] = d1_tmp[:, success_idx].mean() - d2_tmp[:, success_idx].mean()
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names_idx = columns.index('names')
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d1_tmp = _sort_table_index(table_hh1, success_idx)
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# d1_tmp = d1_tmp[d1_tmp[:, success_idx].argsort()]
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return {'ratio': list(zip(_table_slice(d1_tmp, source_idx), _table_slice(d1_tmp, success_idx))),
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'increase': sorted(delta_success.items(), key=lambda k: k[1], reverse=False),
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'new_events': new_hosts}
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def query_most_errors_by_period(project_id, start_time=(datetime.now()-timedelta(days=1)).strftime('%Y-%m-%d'),
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end_time=datetime.now().strftime('%Y-%m-%d'), time_step=3600, conn=None):
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function, steps = __handle_timestep(time_step)
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query = f"""WITH
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{function.format(f"toDateTime64('{start_time}', 0)")} as start,
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{function.format(f"toDateTime64('{end_time}', 0)")} as end
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SELECT T1.hh, count(T2.session_id) as sessions, T2.name as names, groupUniqArray(T2.source) as sources FROM (SELECT arrayJoin(arrayMap(x -> toDateTime(x), range(toUInt32(start), toUInt32(end), {steps}))) as hh) AS T1
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LEFT JOIN (SELECT session_id, name, source, message, {function.format('datetime')} as dtime FROM experimental.events WHERE project_id = {project_id} AND event_type = 'ERROR') AS T2 ON T2.dtime = T1.hh GROUP BY T1.hh, T2.name ORDER BY T1.hh DESC;
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"""
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if conn is None:
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with ch_client.ClickHouseClient() as conn:
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res = conn.execute(query=query)
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else:
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res = conn.execute(query=query)
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table_hh1, table_hh2, columns, this_period_errors, last_period_errors = __get_two_values(res, time_index='hh',
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name_index='names')
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del res
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new_errors = [x for x in this_period_errors if x not in last_period_errors]
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common_errors = [x for x in this_period_errors if x not in new_errors]
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sessions_idx = columns.index('sessions')
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names_idx = columns.index('names')
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percentage_errors = dict()
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total = _sum_table_index(table_hh1, sessions_idx)
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# total = table_hh1[:, sessions_idx].sum()
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error_increase = dict()
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for n in this_period_errors:
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percentage_errors[n] = _sum_table_index(_table_where(table_hh1, names_idx, n), sessions_idx)/total
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# percentage_errors[n] = (table_hh1[table_hh1[:, names_idx] == n][:, sessions_idx].sum())/total
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for n in common_errors:
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error_increase[n] = _sum_table_index(_table_where(table_hh1, names_idx, n), names_idx) - _sum_table_index(_table_where(table_hh2, names_idx, n), names_idx)
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# error_increase[n] = table_hh1[table_hh1[:, names_idx] == n][:, names_idx].sum() - table_hh2[table_hh2[:, names_idx] == n][:, names_idx].sum()
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return {'ratio': sorted(percentage_errors.items(), key=lambda k: k[1], reverse=True),
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'increase': sorted(error_increase.items(), key=lambda k: k[1], reverse=True),
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'new_events': new_errors}
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def query_cpu_memory_by_period(project_id, start_time=(datetime.now()-timedelta(days=1)).strftime('%Y-%m-%d'),
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end_time=datetime.now().strftime('%Y-%m-%d'), time_step=3600, conn=None):
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function, steps = __handle_timestep(time_step)
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query = f"""WITH
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{function.format(f"toDateTime64('{start_time}', 0)")} as start,
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{function.format(f"toDateTime64('{end_time}', 0)")} as end
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SELECT T1.hh, count(T2.session_id) as sessions, avg(T2.avg_cpu) as cpu_used, avg(T2.avg_used_js_heap_size) as memory_used, T2.url_host as names, groupUniqArray(T2.url_path) as sources FROM (SELECT arrayJoin(arrayMap(x -> toDateTime(x), range(toUInt32(start), toUInt32(end), {steps}))) as hh) AS T1
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LEFT JOIN (SELECT session_id, url_host, url_path, avg_used_js_heap_size, avg_cpu, {function.format('datetime')} as dtime FROM experimental.events WHERE project_id = {project_id} AND event_type = 'PERFORMANCE') AS T2 ON T2.dtime = T1.hh GROUP BY T1.hh, T2.url_host ORDER BY T1.hh DESC;"""
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if conn is None:
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with ch_client.ClickHouseClient() as conn:
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res = conn.execute(query=query)
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else:
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res = conn.execute(query=query)
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table_hh1, table_hh2, columns, this_period_resources, last_period_resources = __get_two_values(res, time_index='hh',
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name_index='names')
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del res
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memory_idx = columns.index('memory_used')
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cpu_idx = columns.index('cpu_used')
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_tmp = _mean_table_index(table_hh2, memory_idx)
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# _tmp = table_hh2[:, memory_idx].mean()
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return {'cpu_increase': _mean_table_index(table_hh1, cpu_idx) - _mean_table_index(table_hh2, cpu_idx),
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'memory_increase': (_mean_table_index(table_hh1, memory_idx) - _tmp)/_tmp}
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def query_click_rage_by_period(project_id, start_time=(datetime.now()-timedelta(days=1)).strftime('%Y-%m-%d'),
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end_time=datetime.now().strftime('%Y-%m-%d'), time_step=3600, conn=None):
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function, steps = __handle_timestep(time_step)
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click_rage_condition = "issue_type = 'click_rage'"
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query = f"""WITH
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{function.format(f"toDateTime64('{start_time}', 0)")} as start,
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{function.format(f"toDateTime64('{end_time}', 0)")} as end
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SELECT T1.hh, count(T2.session_id) as sessions, T2.url_host as names, groupUniqArray(T2.url_path) as sources FROM (SELECT arrayJoin(arrayMap(x -> toDateTime(x), range(toUInt32(start), toUInt32(end), {steps}))) as hh) AS T1
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LEFT JOIN (SELECT session_id, url_host, url_path, {function.format('datetime')} as dtime FROM experimental.events WHERE project_id = {project_id} AND event_type = 'ISSUE' AND {click_rage_condition}) AS T2 ON T2.dtime = T1.hh GROUP BY T1.hh, T2.url_host ORDER BY T1.hh DESC;"""
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if conn is None:
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with ch_client.ClickHouseClient(database='experimental') as conn:
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res = conn.execute(query=query)
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else:
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res = conn.execute(query=query)
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table_hh1, table_hh2, columns, this_period_rage, last_period_rage = __get_two_values(res, time_index='hh',
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name_index='names')
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del res
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new_names = [x for x in this_period_rage if x not in last_period_rage]
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common_names = [x for x in this_period_rage if x not in new_names]
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sessions_idx = columns.index('sessions')
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names_idx = columns.index('names')
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raged_increment = dict()
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# TODO verify line (188) _tmp = table_hh2[:, sessions_idx][n].sum()
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for n in common_names:
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if n is None:
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continue
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_tmp = _sum_table_index(_table_where(table_hh2, names_idx, n), sessions_idx)
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# _tmp = table_hh2[:, sessions_idx][n].sum()
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raged_increment[n] = (_sum_table_index(_table_where(table_hh1, names_idx, n), sessions_idx)-_tmp)/_tmp
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# raged_increment[n] = (table_hh1[:, sessions_idx][n].sum()-_tmp)/_tmp
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total = _sum_table_index(table_hh1, sessions_idx)
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# total = table_hh1[:, sessions_idx].sum()
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return {'ratio': list(zip(_table_slice(table_hh1, names_idx), map(lambda k: k/total, _table_slice(table_hh1, sessions_idx)))),
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'increase': sorted(raged_increment.items(), key=lambda k: k[1], reverse=True),
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'new_events': new_names,
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}
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def fetch_selected(selectedEvents, project_id, start_time=(datetime.now()-timedelta(days=1)).strftime('%Y-%m-%d'),
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end_time=datetime.now().strftime('%Y-%m-%d'), time_step=3600):
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assert len(selectedEvents) > 0, """'list of selected events must be non empty. Available events are 'errors',
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'network', 'rage' and 'resources''"""
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output = {}
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with ch_client.ClickHouseClient() as conn:
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if 'errors' in selectedEvents:
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output['errors'] = query_most_errors_by_period(project_id, start_time, end_time, time_step, conn=conn)
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if 'network' in selectedEvents:
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output['network'] = query_requests_by_period(project_id, start_time, end_time, time_step, conn=conn)
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if 'rage' in selectedEvents:
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output['rage'] = query_click_rage_by_period(project_id, start_time, end_time, time_step, conn=conn)
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if 'resources' in selectedEvents:
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output['resources'] = query_cpu_memory_by_period(project_id, start_time, end_time, time_step, conn=conn)
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return output
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if __name__ == '__main__':
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# configs
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start = '2022-04-19'
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end = '2022-04-21'
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projectId = 1307
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time_step = 'hour'
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# Errors widget
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print('Errors example')
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res = query_most_errors_by_period(projectId, start_time=start, end_time=end, time_step=time_step)
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print(res)
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# Resources widgets
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print('resources example')
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res = query_cpu_memory_by_period(projectId, start_time=start, end_time=end, time_step=time_step)
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# Network widgets
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print('Network example')
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res = query_requests_by_period(projectId, start_time=start, end_time=end, time_step=time_step)
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print(res)
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@ -1,5 +1,6 @@
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from chalicelib.core import roles, traces, assist_records, sessions
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from chalicelib.core import unlock, signals
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from chalicelib.core import sessions_insights
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from chalicelib.utils import assist_helper
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unlock.check()
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@ -124,3 +125,12 @@ def send_interactions(projectId: int, data: schemas_ee.SignalsSchema = Body(...)
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if "errors" in data:
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return data
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return {'data': data}
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@app.post('/{projectId}/dashboard/insights', tags=["insights"])
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@app.post('/{projectId}/dashboard/insights', tags=["insights"])
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def sessions_search(projectId: int, data: schemas_ee.GetInsightsPayloadSchema = Body(...),
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context: schemas.CurrentContext = Depends(OR_context)):
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return {'data': sessions_insights.fetch_selected(selectedEvents=data.selectedEvents, project_id=projectId,
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start_time=data.startDate,
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end_time=data.endDate, time_step=data.timestep)}
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@ -39,6 +39,13 @@ class SignalsSchema(BaseModel):
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data: dict = Field(default={})
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class GetInsightsPayloadSchema(BaseModel):
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startDate: int = Field(TimeUTC.now(delta_days=-1))
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endDate: int = Field(TimeUTC.now())
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timestep: str = Field(...)
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selectedEvents: List[str] = Field(...)
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class CreateMemberSchema(schemas.CreateMemberSchema):
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roleId: Optional[int] = Field(None)
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Add table
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