191 lines
7.3 KiB
Python
191 lines
7.3 KiB
Python
import streamlit as st
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import random
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from pathlib import Path
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# --- Import Custom Modules ---
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from utils import (
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load_config, save_config, load_snippets, save_snippets,
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load_json, save_json, generate_templates, fetch_comfy_metadata, DEFAULTS
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)
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from tab_single import render_single_editor
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from tab_batch import render_batch_processor
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from tab_timeline import render_timeline_tab
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from tab_timeline_wip import render_timeline_wip
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from tab_comfy import render_comfy_monitor
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# ==========================================
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# 1. PAGE CONFIGURATION
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# ==========================================
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st.set_page_config(layout="wide", page_title="AI Settings Manager")
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# ==========================================
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# 2. SESSION STATE INITIALIZATION
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# ==========================================
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if 'config' not in st.session_state:
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st.session_state.config = load_config()
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st.session_state.current_dir = Path(st.session_state.config.get("last_dir", Path.cwd()))
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if 'snippets' not in st.session_state:
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st.session_state.snippets = load_snippets()
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if 'loaded_file' not in st.session_state:
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st.session_state.loaded_file = None
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if 'last_mtime' not in st.session_state:
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st.session_state.last_mtime = 0
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if 'edit_history_idx' not in st.session_state:
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st.session_state.edit_history_idx = None
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if 'single_editor_cache' not in st.session_state:
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st.session_state.single_editor_cache = DEFAULTS.copy()
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if 'ui_reset_token' not in st.session_state:
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st.session_state.ui_reset_token = 0
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# --- NEW: FETCH METADATA ON STARTUP ---
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if 'comfy_meta' not in st.session_state:
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# Try to get URL from first instance, or default
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instances = st.session_state.config.get("comfy_instances", [])
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target_url = instances[0]["url"] if instances else "http://127.0.0.1:8188"
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st.session_state.comfy_meta = fetch_comfy_metadata(target_url)
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# --------------------------------------
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# ==========================================
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# 3. SIDEBAR (NAVIGATOR & TOOLS)
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# ==========================================
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with st.sidebar:
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st.header("📂 Navigator")
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# --- Path Navigator ---
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new_path = st.text_input("Current Path", value=str(st.session_state.current_dir))
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if new_path != str(st.session_state.current_dir):
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p = Path(new_path)
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if p.exists() and p.is_dir():
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st.session_state.current_dir = p
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st.session_state.config['last_dir'] = str(p)
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save_config(st.session_state.current_dir, st.session_state.config['favorites'])
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st.rerun()
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# --- Favorites System ---
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if st.button("📌 Pin Current Folder"):
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if str(st.session_state.current_dir) not in st.session_state.config['favorites']:
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st.session_state.config['favorites'].append(str(st.session_state.current_dir))
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save_config(st.session_state.current_dir, st.session_state.config['favorites'])
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st.rerun()
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fav_selection = st.radio(
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"Jump to:",
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["Select..."] + st.session_state.config['favorites'],
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index=0,
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label_visibility="collapsed"
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)
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if fav_selection != "Select..." and fav_selection != str(st.session_state.current_dir):
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st.session_state.current_dir = Path(fav_selection)
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st.rerun()
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st.markdown("---")
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# --- Snippet Library ---
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st.subheader("🧩 Snippet Library")
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with st.expander("Add New Snippet"):
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snip_name = st.text_input("Name", placeholder="e.g. Cinematic")
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snip_content = st.text_area("Content", placeholder="4k, high quality...")
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if st.button("Save Snippet"):
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if snip_name and snip_content:
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st.session_state.snippets[snip_name] = snip_content
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save_snippets(st.session_state.snippets)
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st.success(f"Saved '{snip_name}'")
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st.rerun()
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if st.session_state.snippets:
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st.caption("Click to Append to Prompt:")
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for name, content in st.session_state.snippets.items():
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col_s1, col_s2 = st.columns([4, 1])
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if col_s1.button(f"➕ {name}", use_container_width=True):
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st.session_state.append_prompt = content
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st.rerun()
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if col_s2.button("🗑️", key=f"del_snip_{name}"):
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del st.session_state.snippets[name]
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save_snippets(st.session_state.snippets)
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st.rerun()
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st.markdown("---")
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# --- File List & Creation ---
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json_files = sorted(list(st.session_state.current_dir.glob("*.json")))
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json_files = [f for f in json_files if f.name != ".editor_config.json" and f.name != ".editor_snippets.json"]
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if not json_files:
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if st.button("Generate Templates"):
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generate_templates(st.session_state.current_dir)
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st.rerun()
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with st.expander("Create New JSON"):
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new_filename = st.text_input("Filename", placeholder="my_prompt_vace")
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is_batch = st.checkbox("Is Batch File?")
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if st.button("Create"):
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if not new_filename.endswith(".json"): new_filename += ".json"
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path = st.session_state.current_dir / new_filename
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if is_batch:
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data = {"batch_data": []}
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else:
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data = DEFAULTS.copy()
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if "vace" in new_filename: data.update({"frame_to_skip": 81, "vace schedule": 1, "video file path": ""})
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elif "i2v" in new_filename: data.update({"reference image path": "", "flf image path": ""})
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save_json(path, data)
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st.rerun()
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# --- File Selector ---
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if 'file_selector' not in st.session_state:
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st.session_state.file_selector = json_files[0].name if json_files else None
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if st.session_state.file_selector not in [f.name for f in json_files] and json_files:
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st.session_state.file_selector = json_files[0].name
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selected_file_name = st.radio("Select File", [f.name for f in json_files], key="file_selector")
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# ==========================================
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# 4. MAIN APP LOGIC
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# ==========================================
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if selected_file_name:
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file_path = st.session_state.current_dir / selected_file_name
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if st.session_state.loaded_file != str(file_path):
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data, mtime = load_json(file_path)
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st.session_state.data_cache = data
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st.session_state.last_mtime = mtime
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st.session_state.loaded_file = str(file_path)
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if 'append_prompt' in st.session_state: del st.session_state.append_prompt
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if 'rand_seed' in st.session_state: del st.session_state.rand_seed
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if 'restored_indicator' in st.session_state: del st.session_state.restored_indicator
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st.session_state.edit_history_idx = None
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else:
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data = st.session_state.data_cache
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st.title(f"Editing: {selected_file_name}")
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# --- TABS ---
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tab_single, tab_batch, tab_timeline, tab_wip, tab_comfy = st.tabs([
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"📝 Single Editor",
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"🚀 Batch Processor",
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"🕒 Timeline",
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"🧪 WIP Timeline",
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"🔌 Comfy Monitor"
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])
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with tab_single:
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render_single_editor(data, file_path)
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with tab_batch:
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render_batch_processor(data, file_path, json_files, st.session_state.current_dir, selected_file_name)
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with tab_timeline:
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render_timeline_tab(data, file_path)
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with tab_wip:
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render_timeline_wip(data, file_path)
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with tab_comfy:
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render_comfy_monitor()
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