import streamlit as st import json from history_tree import HistoryTree from utils import save_json # NEW IMPORTS from streamlit_agraph import agraph, Node, Edge, Config def render_timeline_tab(data, file_path): tree_data = data.get("history_tree", {}) if not tree_data: st.info("No history timeline exists. Make some changes in the Editor first!") return htree = HistoryTree(tree_data) # 1. STATUS INDICATOR if 'restored_indicator' in st.session_state and st.session_state.restored_indicator: st.info(f"📍 Editing Restored Version: **{st.session_state.restored_indicator}**") # 2. CONVERT TREE TO AGRAPH FORMAT nodes = [] edges = [] # Sort for consistent processing sorted_nodes = sorted(htree.nodes.values(), key=lambda x: x["timestamp"]) for n in sorted_nodes: nid = n["id"] note = n.get('note', 'Step') short_note = (note[:15] + '..') if len(note) > 15 else note # Colors color = "#ffffff" # Default White border = "#cccccc" shape = "box" # Highlight HEAD (Current) if nid == htree.head_id: color = "#fff6cd" # Yellow border = "#eebb00" # Highlight Branch Tips if nid in htree.branches.values(): if color == "#ffffff": color = "#e6ffe6" # Green border = "#99cc99" # Create Node nodes.append(Node( id=nid, label=f"{short_note}\n{nid[:4]}", size=25, shape=shape, color=color, borderWidth=1, borderColor=border, font={'color': 'black', 'face': 'Arial', 'size': 12} )) # Create Edge if n["parent"] and n["parent"] in htree.nodes: edges.append(Edge( source=n["parent"], target=nid, color="#aaaaaa", type="STRAIGHT" # Keeps timeline looking clean )) # 3. CONFIGURE GRAPH VISUALS config = Config( width="100%", height=300, # Fixed height! Solves "Way too big" issue. directed=True, physics=False, # Disable physics for a rigid timeline structure hierarchical=True, # Force Tree Layout direction="LR", # Left to Right sortMethod="directed", levelSeparation=150, # Space between time steps nodeSpacing=100 ) st.subheader("🕰️ Interactive Timeline") st.caption("Scroll to Zoom • Drag to Pan • Click to Inspect") # 4. RENDER & CAPTURE CLICK # agraph returns the 'id' of the clicked node, or None clicked_node_id = agraph(nodes=nodes, edges=edges, config=config) st.markdown("---") # 5. DETERMINE INSPECTION TARGET # Priority: Clicked Node > Dropdown > Head # Helper list for dropdown all_nodes_list = list(htree.nodes.values()) all_nodes_list.sort(key=lambda x: x["timestamp"], reverse=True) target_node_id = None # If user clicked graph, use that if clicked_node_id: target_node_id = clicked_node_id else: # Fallback to current HEAD target_node_id = htree.head_id # 6. INSPECTOR UI if target_node_id and target_node_id in htree.nodes: selected_node = htree.nodes[target_node_id] node_data = selected_node["data"] # Header c_h1, c_h2 = st.columns([3, 1]) c_h1.markdown(f"### 🔎 Inspecting: {selected_node.get('note', 'Step')}") c_h1.caption(f"ID: {target_node_id}") # --- A. DIFF VIEWER --- with st.expander(f"Compare with Current State", expanded=True): diffs = [] all_keys = set(data.keys()) | set(node_data.keys()) ignore_keys = {"history_tree", "prompt_history", "batch_data", "ui_reset_token"} for k in all_keys: if k in ignore_keys: continue val_now = data.get(k, "N/A") val_then = node_data.get(k, "N/A") if str(val_now) != str(val_then): diffs.append((k, val_now, val_then)) if not diffs: st.caption("✅ Identical to current state") else: for k, v_now, v_then in diffs: dc1, dc2, dc3 = st.columns([1, 2, 2]) dc1.markdown(f"**{k}**") dc2.markdown(f"🔴 `{str(v_now)[:30]}`") dc3.markdown(f"🟢 `{str(v_then)[:30]}`") # --- B. ACTIONS --- with c_h2: st.write("") if st.button("⏪ Restore Version", type="primary", use_container_width=True): data.update(node_data) htree.head_id = target_node_id data["history_tree"] = htree.to_dict() save_json(file_path, data) st.session_state.ui_reset_token += 1 label = f"{selected_node.get('note')} ({target_node_id[:4]})" st.session_state.restored_indicator = label st.toast(f"Restored {target_node_id}!", icon="🔄") st.rerun() # --- C. RENAME --- rn_col1, rn_col2 = st.columns([3, 1]) new_label = rn_col1.text_input("Rename Label", value=selected_node.get("note", "")) if rn_col2.button("Update"): selected_node["note"] = new_label data["history_tree"] = htree.to_dict() save_json(file_path, data) st.rerun()