552 lines
26 KiB
Python
552 lines
26 KiB
Python
import json
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from typing import Union
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import schemas
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from chalicelib.core import sessions, funnels, errors, issues
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from chalicelib.utils import helper, pg_client
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from chalicelib.utils.TimeUTC import TimeUTC
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PIE_CHART_GROUP = 5
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def __try_live(project_id, data: schemas.CreateCardSchema):
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results = []
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for i, s in enumerate(data.series):
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s.filter.startDate = data.startTimestamp
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s.filter.endDate = data.endTimestamp
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results.append(sessions.search2_series(data=s.filter, project_id=project_id, density=data.density,
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view_type=data.view_type, metric_type=data.metric_type,
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metric_of=data.metric_of, metric_value=data.metric_value))
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if data.view_type == schemas.MetricTimeseriesViewType.progress:
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r = {"count": results[-1]}
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diff = s.filter.endDate - s.filter.startDate
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s.filter.endDate = s.filter.startDate
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s.filter.startDate = s.filter.endDate - diff
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r["previousCount"] = sessions.search2_series(data=s.filter, project_id=project_id, density=data.density,
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view_type=data.view_type, metric_type=data.metric_type,
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metric_of=data.metric_of, metric_value=data.metric_value)
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r["countProgress"] = helper.__progress(old_val=r["previousCount"], new_val=r["count"])
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# r["countProgress"] = ((r["count"] - r["previousCount"]) / r["previousCount"]) * 100 \
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# if r["previousCount"] > 0 else 0
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r["seriesName"] = s.name if s.name else i + 1
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r["seriesId"] = s.series_id if s.series_id else None
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results[-1] = r
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elif data.view_type == schemas.MetricTableViewType.pie_chart:
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if len(results[i].get("values", [])) > PIE_CHART_GROUP:
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results[i]["values"] = results[i]["values"][:PIE_CHART_GROUP] \
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+ [{
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"name": "Others", "group": True,
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"sessionCount": sum(r["sessionCount"] for r in results[i]["values"][PIE_CHART_GROUP:])
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}]
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return results
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def __is_funnel_chart(data: schemas.CreateCardSchema):
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return data.metric_type == schemas.MetricType.funnel
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def __get_funnel_chart(project_id, data: schemas.CreateCardSchema):
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if len(data.series) == 0:
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return {
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"stages": [],
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"totalDropDueToIssues": 0
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}
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data.series[0].filter.startDate = data.startTimestamp
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data.series[0].filter.endDate = data.endTimestamp
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return funnels.get_top_insights_on_the_fly_widget(project_id=project_id, data=data.series[0].filter)
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def __is_errors_list(data):
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return data.metric_type == schemas.MetricType.table \
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and data.metric_of == schemas.MetricOfTable.errors
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def __get_errors_list(project_id, user_id, data):
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if len(data.series) == 0:
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return {
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"total": 0,
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"errors": []
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}
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data.series[0].filter.startDate = data.startTimestamp
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data.series[0].filter.endDate = data.endTimestamp
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data.series[0].filter.page = data.page
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data.series[0].filter.limit = data.limit
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return errors.search(data.series[0].filter, project_id=project_id, user_id=user_id)
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def __is_sessions_list(data):
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return data.metric_type == schemas.MetricType.table \
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and data.metric_of == schemas.MetricOfTable.sessions
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def __get_sessions_list(project_id, user_id, data):
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if len(data.series) == 0:
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print("empty series")
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return {
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"total": 0,
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"sessions": []
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}
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data.series[0].filter.startDate = data.startTimestamp
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data.series[0].filter.endDate = data.endTimestamp
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data.series[0].filter.page = data.page
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data.series[0].filter.limit = data.limit
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return sessions.search_sessions(data=data.series[0].filter, project_id=project_id, user_id=user_id)
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def merged_live(project_id, data: schemas.CreateCardSchema, user_id=None):
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if __is_funnel_chart(data):
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return __get_funnel_chart(project_id=project_id, data=data)
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elif __is_errors_list(data):
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return __get_errors_list(project_id=project_id, user_id=user_id, data=data)
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elif __is_sessions_list(data):
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return __get_sessions_list(project_id=project_id, user_id=user_id, data=data)
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series_charts = __try_live(project_id=project_id, data=data)
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if data.view_type == schemas.MetricTimeseriesViewType.progress or data.metric_type == schemas.MetricType.table:
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return series_charts
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results = [{}] * len(series_charts[0])
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for i in range(len(results)):
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for j, series_chart in enumerate(series_charts):
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results[i] = {**results[i], "timestamp": series_chart[i]["timestamp"],
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data.series[j].name if data.series[j].name else j + 1: series_chart[i]["count"]}
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return results
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def __merge_metric_with_data(metric, data: Union[schemas.CustomMetricChartPayloadSchema,
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schemas.CustomMetricSessionsPayloadSchema]) \
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-> Union[schemas.CreateCardSchema, None]:
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if data.series is not None and len(data.series) > 0:
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metric["series"] = data.series
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metric: schemas.CreateCardSchema = schemas.CreateCardSchema.parse_obj({**data.dict(), **metric})
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if len(data.filters) > 0 or len(data.events) > 0:
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for s in metric.series:
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if len(data.filters) > 0:
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s.filter.filters += data.filters
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if len(data.events) > 0:
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s.filter.events += data.events
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return metric
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def make_chart(project_id, user_id, metric_id, data: schemas.CustomMetricChartPayloadSchema, metric=None):
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if metric is None:
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metric = get_card(metric_id=metric_id, project_id=project_id, user_id=user_id, flatten=False)
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if metric is None:
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return None
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metric: schemas.CreateCardSchema = __merge_metric_with_data(metric=metric, data=data)
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return merged_live(project_id=project_id, data=metric, user_id=user_id)
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# if __is_funnel_chart(metric):
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# return __get_funnel_chart(project_id=project_id, data=metric)
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# elif __is_errors_list(metric):
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# return __get_errors_list(project_id=project_id, user_id=user_id, data=metric)
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#
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# series_charts = __try_live(project_id=project_id, data=metric)
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# if metric.view_type == schemas.MetricTimeseriesViewType.progress or metric.metric_type == schemas.MetricType.table:
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# return series_charts
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# results = [{}] * len(series_charts[0])
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# for i in range(len(results)):
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# for j, series_chart in enumerate(series_charts):
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# results[i] = {**results[i], "timestamp": series_chart[i]["timestamp"],
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# metric.series[j].name: series_chart[i]["count"]}
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# return results
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def get_sessions(project_id, user_id, metric_id, data: schemas.CustomMetricSessionsPayloadSchema):
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metric = get_card(metric_id=metric_id, project_id=project_id, user_id=user_id, flatten=False)
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if metric is None:
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return None
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metric: schemas.CreateCardSchema = __merge_metric_with_data(metric=metric, data=data)
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if metric is None:
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return None
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results = []
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for s in metric.series:
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s.filter.startDate = data.startTimestamp
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s.filter.endDate = data.endTimestamp
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s.filter.limit = data.limit
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s.filter.page = data.page
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results.append({"seriesId": s.series_id, "seriesName": s.name,
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**sessions.search_sessions(data=s.filter, project_id=project_id, user_id=user_id)})
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return results
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def get_funnel_issues(project_id, user_id, metric_id, data: schemas.CustomMetricSessionsPayloadSchema):
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metric = get_card(metric_id=metric_id, project_id=project_id, user_id=user_id, flatten=False)
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if metric is None:
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return None
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metric: schemas.CreateCardSchema = __merge_metric_with_data(metric=metric, data=data)
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if metric is None:
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return None
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for s in metric.series:
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s.filter.startDate = data.startTimestamp
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s.filter.endDate = data.endTimestamp
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s.filter.limit = data.limit
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s.filter.page = data.page
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return {"seriesId": s.series_id, "seriesName": s.name,
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**funnels.get_issues_on_the_fly_widget(project_id=project_id, data=s.filter)}
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def get_errors_list(project_id, user_id, metric_id, data: schemas.CustomMetricSessionsPayloadSchema):
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metric = get_card(metric_id=metric_id, project_id=project_id, user_id=user_id, flatten=False)
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if metric is None:
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return None
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metric: schemas.CreateCardSchema = __merge_metric_with_data(metric=metric, data=data)
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if metric is None:
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return None
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for s in metric.series:
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s.filter.startDate = data.startTimestamp
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s.filter.endDate = data.endTimestamp
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s.filter.limit = data.limit
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s.filter.page = data.page
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return {"seriesId": s.series_id, "seriesName": s.name,
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**errors.search(data=s.filter, project_id=project_id, user_id=user_id)}
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def try_sessions(project_id, user_id, data: schemas.CustomMetricSessionsPayloadSchema):
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results = []
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if data.series is None:
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return results
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for s in data.series:
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s.filter.startDate = data.startTimestamp
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s.filter.endDate = data.endTimestamp
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s.filter.limit = data.limit
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s.filter.page = data.page
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results.append({"seriesId": None, "seriesName": s.name,
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**sessions.search_sessions(data=s.filter, project_id=project_id, user_id=user_id)})
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return results
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def create(project_id, user_id, data: schemas.CreateCardSchema, dashboard=False):
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with pg_client.PostgresClient() as cur:
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_data = {}
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for i, s in enumerate(data.series):
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for k in s.dict().keys():
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_data[f"{k}_{i}"] = s.__getattribute__(k)
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_data[f"index_{i}"] = i
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_data[f"filter_{i}"] = s.filter.json()
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series_len = len(data.series)
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params = {"user_id": user_id, "project_id": project_id, **data.dict(), **_data}
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params["default_config"] = json.dumps(data.default_config.dict())
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query = """INSERT INTO metrics_clone (project_id, user_id, name, is_public,
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view_type, metric_type, metric_of, metric_value,
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metric_format, default_config)
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VALUES (%(project_id)s, %(user_id)s, %(name)s, %(is_public)s,
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%(view_type)s, %(metric_type)s, %(metric_of)s, %(metric_value)s,
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%(metric_format)s, %(default_config)s)
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RETURNING metric_id"""
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if len(data.series) > 0:
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query = f"""WITH m AS ({query})
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INSERT INTO metric_series(metric_id, index, name, filter)
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VALUES {",".join([f"((SELECT metric_id FROM m), %(index_{i})s, %(name_{i})s, %(filter_{i})s::jsonb)"
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for i in range(series_len)])}
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RETURNING metric_id;"""
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query = cur.mogrify(query, params)
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print("-------")
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print(query)
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print("-------")
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cur.execute(query)
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r = cur.fetchone()
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if dashboard:
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return r["metric_id"]
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return {"data": get_card(metric_id=r["metric_id"], project_id=project_id, user_id=user_id)}
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def update(metric_id, user_id, project_id, data: schemas.UpdateCardSchema):
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metric = get_card(metric_id=metric_id, project_id=project_id, user_id=user_id, flatten=False)
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if metric is None:
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return None
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series_ids = [r["seriesId"] for r in metric["series"]]
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n_series = []
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d_series_ids = []
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u_series = []
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u_series_ids = []
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params = {"metric_id": metric_id, "is_public": data.is_public, "name": data.name,
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"user_id": user_id, "project_id": project_id, "view_type": data.view_type,
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"metric_type": data.metric_type, "metric_of": data.metric_of,
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"metric_value": data.metric_value, "metric_format": data.metric_format,
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"config": json.dumps(data.default_config.dict())}
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for i, s in enumerate(data.series):
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prefix = "u_"
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if s.index is None:
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s.index = i
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if s.series_id is None or s.series_id not in series_ids:
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n_series.append({"i": i, "s": s})
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prefix = "n_"
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else:
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u_series.append({"i": i, "s": s})
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u_series_ids.append(s.series_id)
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ns = s.dict()
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for k in ns.keys():
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if k == "filter":
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ns[k] = json.dumps(ns[k])
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params[f"{prefix}{k}_{i}"] = ns[k]
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for i in series_ids:
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if i not in u_series_ids:
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d_series_ids.append(i)
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params["d_series_ids"] = tuple(d_series_ids)
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with pg_client.PostgresClient() as cur:
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sub_queries = []
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if len(n_series) > 0:
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sub_queries.append(f"""\
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n AS (INSERT INTO metric_series (metric_id, index, name, filter)
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VALUES {",".join([f"(%(metric_id)s, %(n_index_{s['i']})s, %(n_name_{s['i']})s, %(n_filter_{s['i']})s::jsonb)"
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for s in n_series])}
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RETURNING 1)""")
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if len(u_series) > 0:
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sub_queries.append(f"""\
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u AS (UPDATE metric_series
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SET name=series.name,
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filter=series.filter,
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index=series.index
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FROM (VALUES {",".join([f"(%(u_series_id_{s['i']})s,%(u_index_{s['i']})s,%(u_name_{s['i']})s,%(u_filter_{s['i']})s::jsonb)"
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for s in u_series])}) AS series(series_id, index, name, filter)
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WHERE metric_series.metric_id =%(metric_id)s AND metric_series.series_id=series.series_id
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RETURNING 1)""")
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if len(d_series_ids) > 0:
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sub_queries.append("""\
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d AS (DELETE FROM metric_series WHERE metric_id =%(metric_id)s AND series_id IN %(d_series_ids)s
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RETURNING 1)""")
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query = cur.mogrify(f"""\
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{"WITH " if len(sub_queries) > 0 else ""}{",".join(sub_queries)}
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UPDATE metrics_clone
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SET name = %(name)s, is_public= %(is_public)s,
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view_type= %(view_type)s, metric_type= %(metric_type)s,
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metric_of= %(metric_of)s, metric_value= %(metric_value)s,
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metric_format= %(metric_format)s,
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edited_at = timezone('utc'::text, now()),
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default_config = %(config)s
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WHERE metric_id = %(metric_id)s
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AND project_id = %(project_id)s
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AND (user_id = %(user_id)s OR is_public)
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RETURNING metric_id;""", params)
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cur.execute(query)
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return get_card(metric_id=metric_id, project_id=project_id, user_id=user_id)
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def search_all(project_id, user_id, data: schemas.SearchCardsSchema, include_series=False):
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constraints = ["metrics_clone.project_id = %(project_id)s",
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"metrics_clone.deleted_at ISNULL"]
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params = {"project_id": project_id, "user_id": user_id,
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"offset": (data.page - 1) * data.limit,
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"limit": data.limit, }
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if data.mine_only:
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constraints.append("user_id = %(user_id)s")
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else:
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constraints.append("(user_id = %(user_id)s OR metrics_clone.is_public)")
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if data.shared_only:
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constraints.append("is_public")
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if data.query is not None and len(data.query) > 0:
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constraints.append("(name ILIKE %(query)s OR owner.owner_email ILIKE %(query)s)")
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params["query"] = helper.values_for_operator(value=data.query,
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op=schemas.SearchEventOperator._contains)
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with pg_client.PostgresClient() as cur:
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sub_join = ""
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if include_series:
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sub_join = """LEFT JOIN LATERAL (SELECT COALESCE(jsonb_agg(metric_series.* ORDER BY index),'[]'::jsonb) AS series
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FROM metric_series
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WHERE metric_series.metric_id = metrics_clone.metric_id
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AND metric_series.deleted_at ISNULL
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) AS metric_series ON (TRUE)"""
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query = cur.mogrify(
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f"""SELECT *
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FROM metrics_clone
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{sub_join}
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LEFT JOIN LATERAL (SELECT COALESCE(jsonb_agg(connected_dashboards.* ORDER BY is_public,name),'[]'::jsonb) AS dashboards
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FROM (SELECT DISTINCT dashboard_id, name, is_public
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FROM dashboards INNER JOIN dashboard_widgets USING (dashboard_id)
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WHERE deleted_at ISNULL
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AND dashboard_widgets.metric_id = metrics_clone.metric_id
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AND project_id = %(project_id)s
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AND ((dashboards.user_id = %(user_id)s OR is_public))) AS connected_dashboards
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) AS connected_dashboards ON (TRUE)
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LEFT JOIN LATERAL (SELECT email AS owner_email
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FROM users
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WHERE deleted_at ISNULL
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AND users.user_id = metrics_clone.user_id
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) AS owner ON (TRUE)
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WHERE {" AND ".join(constraints)}
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ORDER BY created_at {data.order}
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LIMIT %(limit)s OFFSET %(offset)s;""", params)
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cur.execute(query)
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rows = cur.fetchall()
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if include_series:
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for r in rows:
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# r["created_at"] = TimeUTC.datetime_to_timestamp(r["created_at"])
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for s in r["series"]:
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s["filter"] = helper.old_search_payload_to_flat(s["filter"])
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else:
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for r in rows:
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r["created_at"] = TimeUTC.datetime_to_timestamp(r["created_at"])
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r["edited_at"] = TimeUTC.datetime_to_timestamp(r["edited_at"])
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rows = helper.list_to_camel_case(rows)
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return rows
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def delete(project_id, metric_id, user_id):
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with pg_client.PostgresClient() as cur:
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cur.execute(
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cur.mogrify("""\
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UPDATE public.metrics_clone
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SET deleted_at = timezone('utc'::text, now()), edited_at = timezone('utc'::text, now())
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WHERE project_id = %(project_id)s
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AND metric_id = %(metric_id)s
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AND (user_id = %(user_id)s OR is_public);""",
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{"metric_id": metric_id, "project_id": project_id, "user_id": user_id})
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)
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return {"state": "success"}
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def get_card(metric_id, project_id, user_id, flatten=True):
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with pg_client.PostgresClient() as cur:
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query = cur.mogrify(
|
|
"""SELECT *, default_config AS config
|
|
FROM metrics_clone
|
|
LEFT JOIN LATERAL (SELECT COALESCE(jsonb_agg(metric_series.* ORDER BY index),'[]'::jsonb) AS series
|
|
FROM metric_series
|
|
WHERE metric_series.metric_id = metrics_clone.metric_id
|
|
AND metric_series.deleted_at ISNULL
|
|
) AS metric_series ON (TRUE)
|
|
LEFT JOIN LATERAL (SELECT COALESCE(jsonb_agg(connected_dashboards.* ORDER BY is_public,name),'[]'::jsonb) AS dashboards
|
|
FROM (SELECT dashboard_id, name, is_public
|
|
FROM dashboards INNER JOIN dashboard_widgets USING (dashboard_id)
|
|
WHERE deleted_at ISNULL
|
|
AND project_id = %(project_id)s
|
|
AND ((dashboards.user_id = %(user_id)s OR is_public))
|
|
AND metric_id = %(metric_id)s) AS connected_dashboards
|
|
) AS connected_dashboards ON (TRUE)
|
|
LEFT JOIN LATERAL (SELECT email AS owner_email
|
|
FROM users
|
|
WHERE deleted_at ISNULL
|
|
AND users.user_id = metrics_clone.user_id
|
|
) AS owner ON (TRUE)
|
|
WHERE metrics_clone.project_id = %(project_id)s
|
|
AND metrics_clone.deleted_at ISNULL
|
|
AND (metrics_clone.user_id = %(user_id)s OR metrics_clone.is_public)
|
|
AND metrics_clone.metric_id = %(metric_id)s
|
|
ORDER BY created_at;""",
|
|
{"metric_id": metric_id, "project_id": project_id, "user_id": user_id}
|
|
)
|
|
cur.execute(query)
|
|
row = cur.fetchone()
|
|
if row is None:
|
|
return None
|
|
row["created_at"] = TimeUTC.datetime_to_timestamp(row["created_at"])
|
|
row["edited_at"] = TimeUTC.datetime_to_timestamp(row["edited_at"])
|
|
if flatten:
|
|
for s in row["series"]:
|
|
s["filter"] = helper.old_search_payload_to_flat(s["filter"])
|
|
return helper.dict_to_camel_case(row)
|
|
|
|
|
|
def get_with_template(metric_id, project_id, user_id, include_dashboard=True):
|
|
with pg_client.PostgresClient() as cur:
|
|
sub_query = ""
|
|
if include_dashboard:
|
|
sub_query = """LEFT JOIN LATERAL (SELECT COALESCE(jsonb_agg(connected_dashboards.* ORDER BY is_public,name),'[]'::jsonb) AS dashboards
|
|
FROM (SELECT dashboard_id, name, is_public
|
|
FROM dashboards
|
|
WHERE deleted_at ISNULL
|
|
AND project_id = %(project_id)s
|
|
AND ((user_id = %(user_id)s OR is_public))) AS connected_dashboards
|
|
) AS connected_dashboards ON (TRUE)"""
|
|
cur.execute(
|
|
cur.mogrify(
|
|
f"""SELECT *, default_config AS config
|
|
FROM metrics_clone
|
|
LEFT JOIN LATERAL (SELECT COALESCE(jsonb_agg(metric_series.* ORDER BY index),'[]'::jsonb) AS series
|
|
FROM metric_series
|
|
WHERE metric_series.metric_id = metrics_clone.metric_id
|
|
AND metric_series.deleted_at ISNULL
|
|
) AS metric_series ON (TRUE)
|
|
{sub_query}
|
|
WHERE (metrics_clone.project_id = %(project_id)s OR metrics_clone.project_id ISNULL)
|
|
AND metrics_clone.deleted_at ISNULL
|
|
AND (metrics_clone.user_id = %(user_id)s OR metrics_clone.is_public)
|
|
AND metrics_clone.metric_id = %(metric_id)s
|
|
ORDER BY created_at;""",
|
|
{"metric_id": metric_id, "project_id": project_id, "user_id": user_id}
|
|
)
|
|
)
|
|
row = cur.fetchone()
|
|
return helper.dict_to_camel_case(row)
|
|
|
|
|
|
def get_series_for_alert(project_id, user_id):
|
|
with pg_client.PostgresClient() as cur:
|
|
cur.execute(
|
|
cur.mogrify(
|
|
"""SELECT series_id AS value,
|
|
metrics_clone.name || '.' || (COALESCE(metric_series.name, 'series ' || index)) || '.count' AS name,
|
|
'count' AS unit,
|
|
FALSE AS predefined,
|
|
metric_id,
|
|
series_id
|
|
FROM metric_series
|
|
INNER JOIN metrics_clone USING (metric_id)
|
|
WHERE metrics_clone.deleted_at ISNULL
|
|
AND metrics_clone.project_id = %(project_id)s
|
|
AND metrics_clone.metric_type = 'timeseries'
|
|
AND (user_id = %(user_id)s OR is_public)
|
|
ORDER BY name;""",
|
|
{"project_id": project_id, "user_id": user_id}
|
|
)
|
|
)
|
|
rows = cur.fetchall()
|
|
return helper.list_to_camel_case(rows)
|
|
|
|
|
|
def change_state(project_id, metric_id, user_id, status):
|
|
with pg_client.PostgresClient() as cur:
|
|
cur.execute(
|
|
cur.mogrify("""\
|
|
UPDATE public.metrics_clone
|
|
SET active = %(status)s
|
|
WHERE metric_id = %(metric_id)s
|
|
AND (user_id = %(user_id)s OR is_public);""",
|
|
{"metric_id": metric_id, "status": status, "user_id": user_id})
|
|
)
|
|
return get_card(metric_id=metric_id, project_id=project_id, user_id=user_id)
|
|
|
|
|
|
def get_funnel_sessions_by_issue(user_id, project_id, metric_id, issue_id,
|
|
data: schemas.CustomMetricSessionsPayloadSchema
|
|
# , range_value=None, start_date=None, end_date=None
|
|
):
|
|
metric = get_card(metric_id=metric_id, project_id=project_id, user_id=user_id, flatten=False)
|
|
if metric is None:
|
|
return None
|
|
metric: schemas.CreateCardSchema = __merge_metric_with_data(metric=metric, data=data)
|
|
if metric is None:
|
|
return None
|
|
for s in metric.series:
|
|
s.filter.startDate = data.startTimestamp
|
|
s.filter.endDate = data.endTimestamp
|
|
s.filter.limit = data.limit
|
|
s.filter.page = data.page
|
|
issues_list = funnels.get_issues_on_the_fly_widget(project_id=project_id, data=s.filter).get("issues", {})
|
|
issues_list = issues_list.get("significant", []) + issues_list.get("insignificant", [])
|
|
issue = None
|
|
for i in issues_list:
|
|
if i.get("issueId", "") == issue_id:
|
|
issue = i
|
|
break
|
|
if issue is None:
|
|
issue = issues.get(project_id=project_id, issue_id=issue_id)
|
|
if issue is not None:
|
|
issue = {**issue,
|
|
"affectedSessions": 0,
|
|
"affectedUsers": 0,
|
|
"conversionImpact": 0,
|
|
"lostConversions": 0,
|
|
"unaffectedSessions": 0}
|
|
return {"seriesId": s.series_id, "seriesName": s.name,
|
|
"sessions": sessions.search_sessions(user_id=user_id, project_id=project_id,
|
|
issue=issue, data=s.filter)
|
|
if issue is not None else {"total": 0, "sessions": []},
|
|
"issue": issue}
|