feat(dashboard): página Historial con tabs ejecuciones y violaciones

Tab "Ejecuciones": tabla resumen + detalle (status, error, output, violations, traza) por trace_id. Tab "Violaciones": log filtrable por severidad. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-11 12:53:17 +02:00
parent 826d5b494e
commit a36a8afa09
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+"""Página de historial de ejecuciones y log de violaciones."""
+
+from __future__ import annotations
+
+import streamlit as st
+
+from agentforge_dashboard.client import CoreClient
+from agentforge_dashboard.components.trace_view import render_trace
+from agentforge_dashboard.components.violation_view import render_violations
+
+
+@st.cache_resource
+def get_client() -> CoreClient:
+    return CoreClient()
+
+
+client = get_client()
+st.title("📜 Historial")
+st.caption("Ejecuciones registradas y log auditable de violaciones de guardrails.")
+
+tabs = st.tabs(["Ejecuciones", "Violaciones"])
+
+with tabs[0]:
+    executions = client.list_executions()
+    if not executions:
+        st.info("Aún no hay ejecuciones registradas.")
+    else:
+        st.dataframe(executions, hide_index=True, use_container_width=True)
+        trace_ids = [e["trace_id"] for e in executions]
+        selected = st.selectbox(
+            "Ver detalle",
+            trace_ids,
+            format_func=lambda t: t[:8] + "…",
+        )
+        if selected:
+            detail = client.get_execution(selected)
+            st.markdown(f"**Status:** `{detail['status']}`")
+            if detail.get("error"):
+                st.error(f"Error: {detail['error']}")
+            if detail.get("final_output"):
+                st.subheader("Output final")
+                st.json(detail["final_output"])
+            render_violations(detail.get("violations", []))
+            render_trace(detail.get("decision_path", []))
+
+with tabs[1]:
+    sev = st.selectbox("Filtrar severidad", ["(todas)", "info", "warning", "block"])
+    filter_kwargs = {} if sev == "(todas)" else {"severity": sev}
+    violations = client.list_violations(**filter_kwargs)
+    if not violations:
+        st.success("Sin violaciones registradas con ese filtro.")
+    else:
+        st.dataframe(violations, hide_index=True, use_container_width=True)