162 lines
6.7 KiB
Python
162 lines
6.7 KiB
Python
import streamlit as st
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import json
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from history_tree import HistoryTree
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from utils import save_json
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from streamlit_agraph import agraph, Node, Edge, Config
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def render_timeline_wip(data, file_path):
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tree_data = data.get("history_tree", {})
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if not tree_data:
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st.info("No history timeline exists.")
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return
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htree = HistoryTree(tree_data)
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# --- 1. GRAPH NODES ---
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nodes = []
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edges = []
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sorted_nodes = sorted(htree.nodes.values(), key=lambda x: x["timestamp"])
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for n in sorted_nodes:
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nid = n["id"]
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note = n.get('note', 'Step')
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short_note = (note[:15] + '..') if len(note) > 15 else note
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# Colors
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color = "#ffffff"
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border = "#666666"
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if nid == htree.head_id:
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color = "#fff6cd"
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border = "#eebb00"
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if nid in htree.branches.values():
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if color == "#ffffff":
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color = "#e6ffe6"
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border = "#44aa44"
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nodes.append(Node(
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id=nid,
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label=f"{short_note}\n({nid[:4]})",
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size=25,
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shape="box",
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color=color,
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borderWidth=1,
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borderColor=border,
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font={'color': 'black', 'face': 'Arial', 'size': 14}
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))
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if n["parent"] and n["parent"] in htree.nodes:
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edges.append(Edge(
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source=n["parent"],
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target=nid,
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color="#aaaaaa",
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type="STRAIGHT"
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))
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config = Config(
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width="100%", height="500px", directed=True, physics=False, hierarchical=True,
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layout={"hierarchical": {"enabled": True, "levelSeparation": 150, "nodeSpacing": 100, "treeSpacing": 100, "direction": "LR", "sortMethod": "directed"}}
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)
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st.subheader("✨ Interactive Timeline")
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st.caption("Click any node to preview its prompts and settings.")
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clicked_node_id = agraph(nodes=nodes, edges=edges, config=config)
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st.markdown("---")
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# --- 2. INSPECTOR ---
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target_node_id = clicked_node_id if clicked_node_id else htree.head_id
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if target_node_id and target_node_id in htree.nodes:
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selected_node = htree.nodes[target_node_id]
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node_data = selected_node["data"]
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c_h1, c_h2 = st.columns([3, 1])
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c_h1.markdown(f"### 🔎 Inspecting: {selected_node.get('note', 'Step')}")
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c_h1.caption(f"ID: {target_node_id}")
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# --- COMPARE (Only here) ---
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with st.expander(f"📊 Compare Changes", expanded=False):
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diffs = []
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all_keys = set(data.keys()) | set(node_data.keys())
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ignore_keys = {"history_tree", "prompt_history", "batch_data", "ui_reset_token", "sequence_number"}
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for k in all_keys:
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if k in ignore_keys: continue
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val_now = str(data.get(k, "")).strip()
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val_then = str(node_data.get(k, "")).strip()
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if val_now != val_then:
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# Ignore tiny float differences
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try:
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if abs(float(val_now) - float(val_then)) < 0.001: continue
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except: pass
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diffs.append((k, val_now, val_then))
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if not diffs:
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st.caption("✅ Identical to current state")
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else:
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for k, v_now, v_then in diffs:
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dc1, dc2, dc3 = st.columns([1, 2, 2])
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dc1.markdown(f"**{k}**")
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dc2.markdown(f"🔴 `{v_now[:30]}`")
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dc3.markdown(f"🟢 `{v_then[:30]}`")
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# --- RESTORE ACTION ---
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with c_h2:
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st.write(""); st.write("")
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if st.button("⏪ Restore This Version", type="primary", use_container_width=True):
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data.update(node_data)
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htree.head_id = target_node_id
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data["history_tree"] = htree.to_dict()
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save_json(file_path, data)
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st.session_state.ui_reset_token += 1
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st.session_state.restored_indicator = f"{selected_node.get('note')} ({target_node_id[:4]})"
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st.toast(f"Restored {target_node_id}!", icon="🔄")
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st.rerun()
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# --- PREVIEW (CORRECTED SCHEMA) ---
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st.markdown("#### 📄 Snapshot Preview")
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# 1. Prompts
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p_col1, p_col2 = st.columns(2)
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with p_col1:
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val = node_data.get("general_prompt", "")
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st.text_area("General Prompt", value=val, height=80, disabled=True, key="prev_gp")
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val_sp = node_data.get("current_prompt", "") or node_data.get("prompt", "")
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st.text_area("Specific Prompt", value=val_sp, height=80, disabled=True, key="prev_sp")
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with p_col2:
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val = node_data.get("general_negative", "")
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st.text_area("General Negative", value=val, height=80, disabled=True, key="prev_gn")
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val_sn = node_data.get("negative", "")
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st.text_area("Specific Negative", value=val_sn, height=80, disabled=True, key="prev_sn")
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# 2. Key Settings (Camera / FLF / Seed)
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st.caption("Settings")
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s_col1, s_col2, s_col3 = st.columns(3)
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s_col1.text_input("Camera", value=str(node_data.get("camera", "")), disabled=True, key="prev_cam")
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s_col2.text_input("FLF", value=str(node_data.get("flf", "")), disabled=True, key="prev_flf")
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s_col3.text_input("Seed", value=str(node_data.get("seed", "")), disabled=True, key="prev_seed")
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# 3. VACE / I2V Specifics (Conditional)
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vace_keys = ["frame_to_skip", "vace schedule", "video file path"]
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has_vace = any(k in node_data for k in vace_keys)
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if has_vace:
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with st.expander("VACE / I2V Settings", expanded=True):
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v1, v2, v3 = st.columns(3)
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v1.text_input("Skip Frames", value=str(node_data.get("frame_to_skip", "")), disabled=True, key="prev_fts")
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v2.text_input("Schedule", value=str(node_data.get("vace schedule", "")), disabled=True, key="prev_vsc")
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v3.text_input("Video Path", value=str(node_data.get("video file path", "")), disabled=True, key="prev_vid")
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# 4. LoRAs
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with st.expander("💊 LoRA Configuration"):
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l1, l2, l3 = st.columns(3)
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l1.text_input("L1", value=f"{node_data.get('lora 1 high','')} : {node_data.get('lora 1 low','')}", disabled=True, key="prev_l1")
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l2.text_input("L2", value=f"{node_data.get('lora 2 high','')} : {node_data.get('lora 2 low','')}", disabled=True, key="prev_l2")
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l3.text_input("L3", value=f"{node_data.get('lora 3 high','')} : {node_data.get('lora 3 low','')}", disabled=True, key="prev_l3")
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