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feat(analytics): Add Clickhouse based analytics (#2988)

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This commit is contained in:
Sampras Lopes
2023-11-29 17:04:53 +05:30
committed by GitHub
parent 2e57745352
commit 9df4e0193f
135 changed files with 12145 additions and 901 deletions
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110
crates/analytics/src/api_event/metrics.rs Normal file
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use api_models::analytics::{
api_event::{
ApiEventDimensions, ApiEventFilters, ApiEventMetrics, ApiEventMetricsBucketIdentifier,
},
Granularity, TimeRange,
};
use time::PrimitiveDateTime;
use crate::{
query::{Aggregate, GroupByClause, ToSql, Window},
types::{AnalyticsCollection, AnalyticsDataSource, LoadRow, MetricsResult},
};
mod api_count;
pub mod latency;
mod status_code_count;
use api_count::ApiCount;
use latency::MaxLatency;
use status_code_count::StatusCodeCount;
use self::latency::LatencyAvg;
#[derive(Debug, PartialEq, Eq, serde::Deserialize)]
pub struct ApiEventMetricRow {
pub latency: Option<u64>,
pub api_count: Option<u64>,
pub status_code_count: Option<u64>,
#[serde(with = "common_utils::custom_serde::iso8601::option")]
pub start_bucket: Option<PrimitiveDateTime>,
#[serde(with = "common_utils::custom_serde::iso8601::option")]
pub end_bucket: Option<PrimitiveDateTime>,
}
pub trait ApiEventMetricAnalytics: LoadRow<ApiEventMetricRow> + LoadRow<LatencyAvg> {}
#[async_trait::async_trait]
pub trait ApiEventMetric<T>
where
T: AnalyticsDataSource + ApiEventMetricAnalytics,
{
async fn load_metrics(
&self,
dimensions: &[ApiEventDimensions],
merchant_id: &str,
filters: &ApiEventFilters,
granularity: &Option<Granularity>,
time_range: &TimeRange,
pool: &T,
) -> MetricsResult<Vec<(ApiEventMetricsBucketIdentifier, ApiEventMetricRow)>>;
}
#[async_trait::async_trait]
impl<T> ApiEventMetric<T> for ApiEventMetrics
where
T: AnalyticsDataSource + ApiEventMetricAnalytics,
PrimitiveDateTime: ToSql<T>,
AnalyticsCollection: ToSql<T>,
Granularity: GroupByClause<T>,
Aggregate<&'static str>: ToSql<T>,
Window<&'static str>: ToSql<T>,
{
async fn load_metrics(
&self,
dimensions: &[ApiEventDimensions],
merchant_id: &str,
filters: &ApiEventFilters,
granularity: &Option<Granularity>,
time_range: &TimeRange,
pool: &T,
) -> MetricsResult<Vec<(ApiEventMetricsBucketIdentifier, ApiEventMetricRow)>> {
match self {
Self::Latency => {
MaxLatency
.load_metrics(
dimensions,
merchant_id,
filters,
granularity,
time_range,
pool,
)
.await
}
Self::ApiCount => {
ApiCount
.load_metrics(
dimensions,
merchant_id,
filters,
granularity,
time_range,
pool,
)
.await
}
Self::StatusCodeCount => {
StatusCodeCount
.load_metrics(
dimensions,
merchant_id,
filters,
granularity,
time_range,
pool,
)
.await
}
}
}
}