198 lines
7.6 KiB
Python
198 lines
7.6 KiB
Python
import streamlit as st
|
|
import json
|
|
from history_tree import HistoryTree
|
|
from utils import save_json, DEFAULTS
|
|
from streamlit_agraph import agraph, Node, Edge, Config
|
|
|
|
def render_timeline_wip(data, file_path):
|
|
tree_data = data.get("history_tree", {})
|
|
if not tree_data:
|
|
st.info("No history timeline exists.")
|
|
return
|
|
|
|
htree = HistoryTree(tree_data)
|
|
|
|
# ==========================================
|
|
# 1. BUILD GRAPH DATA (NODES & EDGES)
|
|
# ==========================================
|
|
nodes = []
|
|
edges = []
|
|
|
|
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
|
|
|
|
# Default Styles
|
|
color = "#ffffff"
|
|
border = "#666666"
|
|
|
|
# Highlight Head (Current Pointer)
|
|
if nid == htree.head_id:
|
|
color = "#fff6cd"
|
|
border = "#eebb00"
|
|
|
|
# Highlight Tips (Ends of branches)
|
|
if nid in htree.branches.values():
|
|
if color == "#ffffff":
|
|
color = "#e6ffe6"
|
|
border = "#44aa44"
|
|
|
|
nodes.append(Node(
|
|
id=nid,
|
|
label=f"{short_note}\n({nid[:4]})",
|
|
size=25,
|
|
shape="box",
|
|
color=color,
|
|
borderWidth=1,
|
|
borderColor=border,
|
|
font={'color': 'black', 'face': 'Arial', 'size': 14}
|
|
))
|
|
|
|
if n["parent"] and n["parent"] in htree.nodes:
|
|
edges.append(Edge(
|
|
source=n["parent"],
|
|
target=nid,
|
|
color="#aaaaaa",
|
|
type="STRAIGHT"
|
|
))
|
|
|
|
# ==========================================
|
|
# 2. RENDER INTERACTIVE GRAPH
|
|
# ==========================================
|
|
config = Config(
|
|
width="100%",
|
|
height="500px",
|
|
directed=True,
|
|
physics=False,
|
|
hierarchical=True,
|
|
layout={
|
|
"hierarchical": {
|
|
"enabled": True,
|
|
"levelSeparation": 150,
|
|
"nodeSpacing": 100,
|
|
"treeSpacing": 100,
|
|
"direction": "LR",
|
|
"sortMethod": "directed"
|
|
}
|
|
}
|
|
)
|
|
|
|
st.subheader("✨ Interactive Timeline")
|
|
st.caption("Click any node to preview its settings and compare changes.")
|
|
|
|
clicked_node_id = agraph(nodes=nodes, edges=edges, config=config)
|
|
|
|
st.markdown("---")
|
|
|
|
# ==========================================
|
|
# 3. INSPECTION PANEL
|
|
# ==========================================
|
|
target_node_id = clicked_node_id if clicked_node_id else htree.head_id
|
|
|
|
if target_node_id and target_node_id in htree.nodes:
|
|
selected_node = htree.nodes[target_node_id]
|
|
node_data = selected_node["data"]
|
|
|
|
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. COMPARE CHANGES (DIFF) ---
|
|
with st.expander(f"📊 Compare Changes", expanded=False):
|
|
diffs = []
|
|
all_keys = set(data.keys()) | set(node_data.keys())
|
|
|
|
# Keys to ignore in diff view to reduce noise
|
|
ignore_keys = {
|
|
"history_tree", "prompt_history", "batch_data",
|
|
"ui_reset_token", "sequence_number",
|
|
"input_a_frames", "input_b_frames"
|
|
}
|
|
|
|
for k in all_keys:
|
|
if k in ignore_keys: continue
|
|
val_now = data.get(k, "")
|
|
val_then = node_data.get(k, "")
|
|
|
|
# Convert to string and strip whitespace for clean comparison
|
|
str_now = str(val_now).strip()
|
|
str_then = str(val_then).strip()
|
|
|
|
if str_now != str_then:
|
|
# Fuzzy match for numbers (ignore 1 vs 1.0)
|
|
try:
|
|
f_now = float(str_now)
|
|
f_then = float(str_then)
|
|
if abs(f_now - f_then) < 0.001: continue
|
|
except ValueError:
|
|
pass
|
|
|
|
diffs.append((k, str_now, str_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. RESTORE ACTION ---
|
|
with c_h2:
|
|
st.write(""); st.write("")
|
|
if st.button("⏪ Restore This 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. SNAPSHOT PREVIEW (READ ONLY FORM) ---
|
|
st.markdown("#### 📄 Snapshot Preview")
|
|
|
|
# 1. Prompts (Handles both old 'positive_prompt' and new 'general_prompt' keys)
|
|
p_col1, p_col2 = st.columns(2)
|
|
with p_col1:
|
|
val_p = node_data.get("positive_prompt", "") or node_data.get("general_prompt", "")
|
|
st.text_area("Positive Prompt", value=val_p, height=100, disabled=True, key="prev_pp")
|
|
with p_col2:
|
|
val_n = node_data.get("negative_prompt", "") or node_data.get("general_negative", "")
|
|
st.text_area("Negative Prompt", value=val_n, height=100, disabled=True, key="prev_np")
|
|
|
|
# 2. Key Settings
|
|
s_col1, s_col2, s_col3, s_col4 = st.columns(4)
|
|
s_col1.text_input("Seed", value=str(node_data.get("seed", "")), disabled=True, key="prev_seed")
|
|
s_col2.text_input("Steps", value=str(node_data.get("steps", "")), disabled=True, key="prev_steps")
|
|
s_col3.text_input("CFG", value=str(node_data.get("cfg", "")), disabled=True, key="prev_cfg")
|
|
s_col4.text_input("Denoise", value=str(node_data.get("denoise", "")), disabled=True, key="prev_den")
|
|
|
|
# 3. Models
|
|
m_col1, m_col2 = st.columns(2)
|
|
m_col1.text_input("Checkpoint", value=node_data.get("model_name", ""), disabled=True, key="prev_ckpt")
|
|
m_col2.text_input("VAE", value=node_data.get("vae_name", ""), disabled=True, key="prev_vae")
|
|
|
|
# 4. LoRAs
|
|
with st.expander("💊 LoRA Configuration"):
|
|
l1, l2, l3 = st.columns(3)
|
|
with l1:
|
|
st.text_input("L1 Name", value=node_data.get("lora 1 high", ""), disabled=True, key="prev_l1h")
|
|
st.text_input("L1 Str", value=str(node_data.get("lora 1 low", "")), disabled=True, key="prev_l1l")
|
|
with l2:
|
|
st.text_input("L2 Name", value=node_data.get("lora 2 high", ""), disabled=True, key="prev_l2h")
|
|
st.text_input("L2 Str", value=str(node_data.get("lora 2 low", "")), disabled=True, key="prev_l2l")
|
|
with l3:
|
|
st.text_input("L3 Name", value=node_data.get("lora 3 high", ""), disabled=True, key="prev_l3h")
|
|
st.text_input("L3 Str", value=str(node_data.get("lora 3 low", "")), disabled=True, key="prev_l3l")
|