feat(dashboard): add time-frame filtering and used-models-only pricing
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- All usage endpoints now accept ?period=today|24h|7d|30d|all|custom
  with optional &from=ISO&to=ISO for custom ranges
- Time-series chart adapts granularity: hourly for today/24h, daily for
  7d/30d/all
- Analytics and Costs pages have period selector buttons with custom
  date-range picker
- Pricing table on Costs page now only shows models that have actually
  been used (GET /models?used_only=true)
- Cache-bust version bumped to v=6
This commit is contained in:
2026-03-02 15:29:23 -05:00
parent 54c45cbfca
commit 5bf41be343
7 changed files with 498 additions and 144 deletions

View File

@@ -1,16 +1,83 @@
use axum::{extract::State, response::Json};
use axum::{
extract::{Query, State},
response::Json,
};
use chrono;
use serde::Deserialize;
use serde_json;
use sqlx::Row;
use tracing::warn;
use super::{ApiResponse, DashboardState};
pub(super) async fn handle_usage_summary(State(state): State<DashboardState>) -> Json<ApiResponse<serde_json::Value>> {
let pool = &state.app_state.db_pool;
/// Query parameters for time-based filtering on usage endpoints.
#[derive(Debug, Deserialize, Default)]
pub(super) struct UsagePeriodFilter {
/// Preset period: "today", "24h", "7d", "30d", "all" (default: "all")
pub period: Option<String>,
/// Custom range start (ISO 8601, e.g. "2025-06-01T00:00:00Z")
pub from: Option<String>,
/// Custom range end (ISO 8601)
pub to: Option<String>,
}
// Total stats
let total_stats = sqlx::query(
impl UsagePeriodFilter {
/// Returns `(sql_fragment, bind_values)` for a WHERE clause.
/// The fragment is either empty (no filter) or " AND timestamp >= ? [AND timestamp <= ?]".
fn to_sql(&self) -> (String, Vec<String>) {
let period = self.period.as_deref().unwrap_or("all");
if period == "custom" {
let mut clause = String::new();
let mut binds = Vec::new();
if let Some(ref from) = self.from {
clause.push_str(" AND timestamp >= ?");
binds.push(from.clone());
}
if let Some(ref to) = self.to {
clause.push_str(" AND timestamp <= ?");
binds.push(to.clone());
}
return (clause, binds);
}
let now = chrono::Utc::now();
let cutoff = match period {
"today" => {
// Start of today (UTC)
let today = now.format("%Y-%m-%dT00:00:00Z").to_string();
Some(today)
}
"24h" => Some((now - chrono::Duration::hours(24)).to_rfc3339()),
"7d" => Some((now - chrono::Duration::days(7)).to_rfc3339()),
"30d" => Some((now - chrono::Duration::days(30)).to_rfc3339()),
_ => None, // "all" or unrecognized
};
match cutoff {
Some(ts) => (" AND timestamp >= ?".to_string(), vec![ts]),
None => (String::new(), vec![]),
}
}
/// Determine the time-series granularity label for grouping.
fn granularity(&self) -> &'static str {
match self.period.as_deref().unwrap_or("all") {
"today" | "24h" => "hour",
_ => "day",
}
}
}
pub(super) async fn handle_usage_summary(
State(state): State<DashboardState>,
Query(filter): Query<UsagePeriodFilter>,
) -> Json<ApiResponse<serde_json::Value>> {
let pool = &state.app_state.db_pool;
let (period_clause, period_binds) = filter.to_sql();
// Total stats (filtered by period)
let period_sql = format!(
r#"
SELECT
COUNT(*) as total_requests,
@@ -20,9 +87,15 @@ pub(super) async fn handle_usage_summary(State(state): State<DashboardState>) ->
COALESCE(SUM(cache_read_tokens), 0) as total_cache_read,
COALESCE(SUM(cache_write_tokens), 0) as total_cache_write
FROM llm_requests
WHERE 1=1 {}
"#,
)
.fetch_one(pool);
period_clause
);
let mut q = sqlx::query(&period_sql);
for b in &period_binds {
q = q.bind(b);
}
let total_stats = q.fetch_one(pool);
// Today's stats
let today = chrono::Utc::now().format("%Y-%m-%d").to_string();
@@ -99,41 +172,61 @@ pub(super) async fn handle_usage_summary(State(state): State<DashboardState>) ->
}
}
pub(super) async fn handle_time_series(State(state): State<DashboardState>) -> Json<ApiResponse<serde_json::Value>> {
pub(super) async fn handle_time_series(
State(state): State<DashboardState>,
Query(filter): Query<UsagePeriodFilter>,
) -> Json<ApiResponse<serde_json::Value>> {
let pool = &state.app_state.db_pool;
let (period_clause, period_binds) = filter.to_sql();
let granularity = filter.granularity();
let now = chrono::Utc::now();
let twenty_four_hours_ago = now - chrono::Duration::hours(24);
// Determine the strftime format and default lookback
let (strftime_fmt, _label_key, default_lookback) = match granularity {
"hour" => ("%H:00", "hour", chrono::Duration::hours(24)),
_ => ("%Y-%m-%d", "day", chrono::Duration::days(30)),
};
let result = sqlx::query(
// If no period filter, apply a sensible default lookback
let (clause, binds) = if period_clause.is_empty() {
let cutoff = (chrono::Utc::now() - default_lookback).to_rfc3339();
(" AND timestamp >= ?".to_string(), vec![cutoff])
} else {
(period_clause, period_binds)
};
let sql = format!(
r#"
SELECT
strftime('%H:00', timestamp) as hour,
strftime('{strftime_fmt}', timestamp) as bucket,
COUNT(*) as requests,
COALESCE(SUM(total_tokens), 0) as tokens,
COALESCE(SUM(cost), 0.0) as cost
FROM llm_requests
WHERE timestamp >= ?
GROUP BY hour
ORDER BY hour
WHERE 1=1 {clause}
GROUP BY bucket
ORDER BY bucket
"#,
)
.bind(twenty_four_hours_ago)
.fetch_all(pool)
.await;
);
let mut q = sqlx::query(&sql);
for b in &binds {
q = q.bind(b);
}
let result = q.fetch_all(pool).await;
match result {
Ok(rows) => {
let mut series = Vec::new();
for row in rows {
let hour: String = row.get("hour");
let bucket: String = row.get("bucket");
let requests: i64 = row.get("requests");
let tokens: i64 = row.get("tokens");
let cost: f64 = row.get("cost");
series.push(serde_json::json!({
"time": hour,
"time": bucket,
"requests": requests,
"tokens": tokens,
"cost": cost,
@@ -142,7 +235,8 @@ pub(super) async fn handle_time_series(State(state): State<DashboardState>) -> J
Json(ApiResponse::success(serde_json::json!({
"series": series,
"period": "24h"
"period": filter.period.as_deref().unwrap_or("all"),
"granularity": granularity,
})))
}
Err(e) => {
@@ -152,11 +246,14 @@ pub(super) async fn handle_time_series(State(state): State<DashboardState>) -> J
}
}
pub(super) async fn handle_clients_usage(State(state): State<DashboardState>) -> Json<ApiResponse<serde_json::Value>> {
// Query database for client usage statistics
pub(super) async fn handle_clients_usage(
State(state): State<DashboardState>,
Query(filter): Query<UsagePeriodFilter>,
) -> Json<ApiResponse<serde_json::Value>> {
let pool = &state.app_state.db_pool;
let (period_clause, period_binds) = filter.to_sql();
let result = sqlx::query(
let sql = format!(
r#"
SELECT
client_id,
@@ -165,12 +262,19 @@ pub(super) async fn handle_clients_usage(State(state): State<DashboardState>) ->
COALESCE(SUM(cost), 0.0) as cost,
MAX(timestamp) as last_request
FROM llm_requests
WHERE 1=1 {}
GROUP BY client_id
ORDER BY requests DESC
"#,
)
.fetch_all(pool)
.await;
period_clause
);
let mut q = sqlx::query(&sql);
for b in &period_binds {
q = q.bind(b);
}
let result = q.fetch_all(pool).await;
match result {
Ok(rows) => {
@@ -204,11 +308,12 @@ pub(super) async fn handle_clients_usage(State(state): State<DashboardState>) ->
pub(super) async fn handle_providers_usage(
State(state): State<DashboardState>,
Query(filter): Query<UsagePeriodFilter>,
) -> Json<ApiResponse<serde_json::Value>> {
// Query database for provider usage statistics
let pool = &state.app_state.db_pool;
let (period_clause, period_binds) = filter.to_sql();
let result = sqlx::query(
let sql = format!(
r#"
SELECT
provider,
@@ -218,12 +323,19 @@ pub(super) async fn handle_providers_usage(
COALESCE(SUM(cache_read_tokens), 0) as cache_read,
COALESCE(SUM(cache_write_tokens), 0) as cache_write
FROM llm_requests
WHERE 1=1 {}
GROUP BY provider
ORDER BY requests DESC
"#,
)
.fetch_all(pool)
.await;
period_clause
);
let mut q = sqlx::query(&sql);
for b in &period_binds {
q = q.bind(b);
}
let result = q.fetch_all(pool).await;
match result {
Ok(rows) => {
@@ -256,10 +368,14 @@ pub(super) async fn handle_providers_usage(
}
}
pub(super) async fn handle_detailed_usage(State(state): State<DashboardState>) -> Json<ApiResponse<serde_json::Value>> {
pub(super) async fn handle_detailed_usage(
State(state): State<DashboardState>,
Query(filter): Query<UsagePeriodFilter>,
) -> Json<ApiResponse<serde_json::Value>> {
let pool = &state.app_state.db_pool;
let (period_clause, period_binds) = filter.to_sql();
let result = sqlx::query(
let sql = format!(
r#"
SELECT
strftime('%Y-%m-%d', timestamp) as date,
@@ -272,13 +388,20 @@ pub(super) async fn handle_detailed_usage(State(state): State<DashboardState>) -
COALESCE(SUM(cache_read_tokens), 0) as cache_read,
COALESCE(SUM(cache_write_tokens), 0) as cache_write
FROM llm_requests
WHERE 1=1 {}
GROUP BY date, client_id, provider, model
ORDER BY date DESC
LIMIT 100
LIMIT 200
"#,
)
.fetch_all(pool)
.await;
period_clause
);
let mut q = sqlx::query(&sql);
for b in &period_binds {
q = q.bind(b);
}
let result = q.fetch_all(pool).await;
match result {
Ok(rows) => {
@@ -310,19 +433,32 @@ pub(super) async fn handle_detailed_usage(State(state): State<DashboardState>) -
pub(super) async fn handle_analytics_breakdown(
State(state): State<DashboardState>,
Query(filter): Query<UsagePeriodFilter>,
) -> Json<ApiResponse<serde_json::Value>> {
let pool = &state.app_state.db_pool;
let (period_clause, period_binds) = filter.to_sql();
// Model breakdown
let models =
sqlx::query("SELECT model as label, COUNT(*) as value FROM llm_requests GROUP BY model ORDER BY value DESC")
.fetch_all(pool);
let model_sql = format!(
"SELECT model as label, COUNT(*) as value FROM llm_requests WHERE 1=1 {} GROUP BY model ORDER BY value DESC",
period_clause
);
let mut mq = sqlx::query(&model_sql);
for b in &period_binds {
mq = mq.bind(b);
}
let models = mq.fetch_all(pool);
// Client breakdown
let clients = sqlx::query(
"SELECT client_id as label, COUNT(*) as value FROM llm_requests GROUP BY client_id ORDER BY value DESC",
)
.fetch_all(pool);
let client_sql = format!(
"SELECT client_id as label, COUNT(*) as value FROM llm_requests WHERE 1=1 {} GROUP BY client_id ORDER BY value DESC",
period_clause
);
let mut cq = sqlx::query(&client_sql);
for b in &period_binds {
cq = cq.bind(b);
}
let clients = cq.fetch_all(pool);
match tokio::join!(models, clients) {
(Ok(m_rows), Ok(c_rows)) => {