feat(dash): improved frontend dashboard (#6)

Co-authored-by: Sharang Parnerkar <parnerkarsharang@gmail.com>
Reviewed-on: #6

src/pages/developer/analytics.rs

@@ -0,0 +1,65 @@
+use dioxus::prelude::*;
+
+use crate::models::AnalyticsMetric;
+
+/// Analytics page placeholder for LangFuse integration.
+///
+/// Shows a "Coming Soon" card with a disabled launch button,
+/// plus a mock stats bar showing sample metrics.
+#[component]
+pub fn AnalyticsPage() -> Element {
+    let metrics = mock_metrics();
+
+    rsx! {
+        section { class: "placeholder-page",
+            div { class: "analytics-stats-bar",
+                for metric in &metrics {
+                    div { class: "analytics-stat",
+                        span { class: "analytics-stat-value", "{metric.value}" }
+                        span { class: "analytics-stat-label", "{metric.label}" }
+                        span { class: if metric.change_pct >= 0.0 { "analytics-stat-change analytics-stat-change--up" } else { "analytics-stat-change analytics-stat-change--down" },
+                            "{metric.change_pct:+.1}%"
+                        }
+                    }
+                }
+            }
+            div { class: "placeholder-card",
+                div { class: "placeholder-icon", "L" }
+                h2 { "Analytics & Observability" }
+                p { class: "placeholder-desc",
+                    "Monitor and analyze your AI pipelines with LangFuse. \
+                    Track token usage, latency, costs, and quality metrics \
+                    across all your deployments."
+                }
+                button { class: "btn-primary", disabled: true, "Launch LangFuse" }
+                span { class: "placeholder-badge", "Coming Soon" }
+            }
+        }
+    }
+}
+
+/// Returns mock analytics metrics for the stats bar.
+fn mock_metrics() -> Vec<AnalyticsMetric> {
+    vec![
+        AnalyticsMetric {
+            label: "Total Requests".into(),
+            value: "12,847".into(),
+            change_pct: 14.2,
+        },
+        AnalyticsMetric {
+            label: "Avg Latency".into(),
+            value: "245ms".into(),
+            change_pct: -8.5,
+        },
+        AnalyticsMetric {
+            label: "Tokens Used".into(),
+            value: "2.4M".into(),
+            change_pct: 22.1,
+        },
+        AnalyticsMetric {
+            label: "Error Rate".into(),
+            value: "0.3%".into(),
+            change_pct: -12.0,
+        },
+    ]
+}