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# src/reasoning_panel.py
from __future__ import annotations
from typing import Dict, List
import streamlit as st
def _render_popover_for_item(
label: str,
ref_nums: List[int],
registry: List[Dict[str, object]],
) -> None:
if not ref_nums:
return
with st.expander(label, expanded=False):
for n in ref_nums:
rec = next((r for r in registry if int(r.get("n", r.get("rank", -1))) == int(n)), None)
if not rec:
continue
title = f"[{n}] {rec.get('doc_name','')} — p.{rec.get('page',0)} | score {float(rec.get('score',0.0)):.3f}"
st.markdown(f"**{title}**")
st.write(rec.get("text", ""))
if rec.get("source_path"):
st.caption(rec["source_path"])
def _bullets_html(items: List[str]) -> str:
if not items:
return "_(none)_"
return "\n".join([f"- {s}" for s in items])
def build_panel_data(result: Dict[str, object]) -> Dict[str, object]:
meta = result.get("meta", {}) if isinstance(result, dict) else {}
annotated = meta.get("annotated", {}) if isinstance(meta, dict) else {}
claim_mapping = meta.get("claim_mapping", {}) if isinstance(meta, dict) else {}
assess_html = annotated.get("assessment_html", []) if isinstance(annotated, dict) else []
plan_html = annotated.get("plan_html", []) if isinstance(annotated, dict) else []
assess_map_items = claim_mapping.get("assessment", {}).get("items", []) if isinstance(claim_mapping, dict) else []
plan_map_items = claim_mapping.get("plan", {}).get("items", []) if isinstance(claim_mapping, dict) else []
return {
"assessment_html": assess_html,
"plan_html": plan_html,
"assessment_map": assess_map_items,
"plan_map": plan_map_items,
"citations": result.get("citations", []),
"timings": meta.get("timings", {}),
"map_mode": meta.get("map_mode", "production"),
"registry_cap": meta.get("registry_cap", None),
"nl_explanation": meta.get("nl_explanation", ""),
}
def render_reasoning_panel(panel_data: Dict[str, object]) -> None:
st.subheader("Reasoning & Evidence")
timings = panel_data.get("timings", {})
map_mode = panel_data.get("map_mode", "production")
cap = panel_data.get("registry_cap", None)
st.caption(f"Evidence mode: **{map_mode}**" + (f" | registry cap: {cap}" if cap else ""))
# Explanation (only here; top-level expander removed for non-dup UX)
expl = (panel_data.get("nl_explanation", "") or "").strip()
if expl:
with st.expander("🧩 Explain My Reasoning", expanded=False):
st.write(expl)
registry = panel_data.get("citations", [])
col1, col2 = st.columns(2)
with col1:
st.markdown("**Assessment (annotated)**")
st.markdown(_bullets_html(panel_data.get("assessment_html", [])), unsafe_allow_html=True)
for i, it in enumerate(panel_data.get("assessment_map", []), start=1):
_render_popover_for_item(f"[?] Evidence for Assessment #{i}", it.get("ref_nums", []), registry)
with col2:
st.markdown("**Plan (annotated)**")
st.markdown(_bullets_html(panel_data.get("plan_html", [])), unsafe_allow_html=True)
for i, it in enumerate(panel_data.get("plan_map", []), start=1):
_render_popover_for_item(f"[?] Evidence for Plan #{i}", it.get("ref_nums", []), registry)
st.markdown("---")
st.markdown("**Evidence Registry** (global refs)")
if not registry:
st.caption("No evidence available. Build the FAISS index in Step 1 to enable mapping.")
return
for r in registry:
with st.container(border=True):
n = r.get("n", r.get("rank", "?"))
doc = r.get("doc_name", "")
page = r.get("page", 0)
score = r.get("score", r.get("score_max", 0.0))
st.write(f"**[{n}] {doc}** — page {page} | score: {float(score):.3f}")
st.write(r.get("text", ""))
sp = r.get("source_path", "")
if sp:
st.caption(sp)
if isinstance(timings, dict):
st.caption(f"Timings: {timings}")
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