Update tab_timeline_wip.py

This commit is contained in:
2026-01-03 01:14:54 +01:00
committed by GitHub
parent 9582103d40
commit 4d398afea0

View File

@@ -1,7 +1,7 @@
import streamlit as st
import json
from history_tree import HistoryTree
from utils import save_json, DEFAULTS
from utils import save_json
from streamlit_agraph import agraph, Node, Edge, Config
def render_timeline_wip(data, file_path):
@@ -12,9 +12,7 @@ def render_timeline_wip(data, file_path):
htree = HistoryTree(tree_data)
# ==========================================
# 1. BUILD GRAPH DATA (NODES & EDGES)
# ==========================================
# --- 1. GRAPH NODES ---
nodes = []
edges = []
@@ -25,16 +23,12 @@ def render_timeline_wip(data, file_path):
note = n.get('note', 'Step')
short_note = (note[:15] + '..') if len(note) > 15 else note
# Default Styles
# Colors
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"
@@ -59,37 +53,19 @@ def render_timeline_wip(data, file_path):
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"
}
}
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.")
st.caption("Click any node to preview its prompts and settings.")
clicked_node_id = agraph(nodes=nodes, edges=edges, config=config)
st.markdown("---")
# ==========================================
# 3. INSPECTION PANEL
# ==========================================
# --- 2. INSPECTOR ---
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:
@@ -100,37 +76,23 @@ def render_timeline_wip(data, file_path):
c_h1.markdown(f"### 🔎 Inspecting: {selected_node.get('note', 'Step')}")
c_h1.caption(f"ID: {target_node_id}")
# --- A. COMPARE CHANGES (DIFF) ---
# --- COMPARE (Only here) ---
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"
}
ignore_keys = {"history_tree", "prompt_history", "batch_data", "ui_reset_token", "sequence_number"}
for k in all_keys:
if k in ignore_keys: continue
val_now = data.get(k, "")
val_then = node_data.get(k, "")
val_now = str(data.get(k, "")).strip()
val_then = str(node_data.get(k, "")).strip()
# 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)
if val_now != val_then:
# Ignore tiny float differences
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 abs(float(val_now) - float(val_then)) < 0.001: continue
except: pass
diffs.append((k, val_now, val_then))
if not diffs:
st.caption("✅ Identical to current state")
@@ -138,60 +100,62 @@ def render_timeline_wip(data, file_path):
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]}`")
dc2.markdown(f"🔴 `{v_now[:30]}`")
dc3.markdown(f"🟢 `{v_then[:30]}`")
# --- B. RESTORE ACTION ---
# --- 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.session_state.restored_indicator = f"{selected_node.get('note')} ({target_node_id[:4]})"
st.toast(f"Restored {target_node_id}!", icon="🔄")
st.rerun()
# --- C. SNAPSHOT PREVIEW (READ ONLY FORM) ---
# --- PREVIEW (CORRECTED SCHEMA) ---
st.markdown("#### 📄 Snapshot Preview")
# 1. Prompts (Handles both old 'positive_prompt' and new 'general_prompt' keys)
# 1. Prompts
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")
val = node_data.get("general_prompt", "")
st.text_area("General Prompt", value=val, height=80, disabled=True, key="prev_gp")
val_sp = node_data.get("current_prompt", "") or node_data.get("prompt", "")
st.text_area("Specific Prompt", value=val_sp, height=80, disabled=True, key="prev_sp")
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")
val = node_data.get("general_negative", "")
st.text_area("General Negative", value=val, height=80, disabled=True, key="prev_gn")
val_sn = node_data.get("negative", "")
st.text_area("Specific Negative", value=val_sn, height=80, disabled=True, key="prev_sn")
# 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")
# 2. Key Settings (Camera / FLF / Seed)
st.caption("Settings")
s_col1, s_col2, s_col3 = st.columns(3)
s_col1.text_input("Camera", value=str(node_data.get("camera", "")), disabled=True, key="prev_cam")
s_col2.text_input("FLF", value=str(node_data.get("flf", "")), disabled=True, key="prev_flf")
s_col3.text_input("Seed", value=str(node_data.get("seed", "")), disabled=True, key="prev_seed")
# 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")
# 3. VACE / I2V Specifics (Conditional)
vace_keys = ["frame_to_skip", "vace schedule", "video file path"]
has_vace = any(k in node_data for k in vace_keys)
if has_vace:
with st.expander("VACE / I2V Settings", expanded=True):
v1, v2, v3 = st.columns(3)
v1.text_input("Skip Frames", value=str(node_data.get("frame_to_skip", "")), disabled=True, key="prev_fts")
v2.text_input("Schedule", value=str(node_data.get("vace schedule", "")), disabled=True, key="prev_vsc")
v3.text_input("Video Path", value=str(node_data.get("video file path", "")), disabled=True, key="prev_vid")
# 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")
l1.text_input("L1", value=f"{node_data.get('lora 1 high','')} : {node_data.get('lora 1 low','')}", disabled=True, key="prev_l1")
l2.text_input("L2", value=f"{node_data.get('lora 2 high','')} : {node_data.get('lora 2 low','')}", disabled=True, key="prev_l2")
l3.text_input("L3", value=f"{node_data.get('lora 3 high','')} : {node_data.get('lora 3 low','')}", disabled=True, key="prev_l3")