ethanfel
6cf077a278
Enhance JSON loading and saving with error handling and structure preservation. Improve user interface elements and batch processing logic.
481 lines
22 KiB
Python
481 lines
22 KiB
Python
import streamlit as st
|
||
import json
|
||
import os
|
||
import time
|
||
import random
|
||
from pathlib import Path
|
||
|
||
# --- Configuration ---
|
||
CONFIG_FILE = Path(".editor_config.json")
|
||
SNIPPETS_FILE = Path(".editor_snippets.json")
|
||
|
||
st.set_page_config(layout="wide", page_title="AI Settings Manager")
|
||
|
||
# Defaults
|
||
DEFAULTS = {
|
||
"camera": "Camera stand still. Motion starts immediately.",
|
||
"flf": 0,
|
||
"seed": 0,
|
||
"frame_to_skip": 81,
|
||
"input_a_frames": 0,
|
||
"input_b_frames": 0,
|
||
"reference path": "",
|
||
"reference switch": 1,
|
||
"vace schedule": 1,
|
||
"video file path": "",
|
||
"reference image path": "",
|
||
"flf image path": "",
|
||
|
||
# --- PROMPTS ---
|
||
"general_prompt": "",
|
||
"general_negative": "Vivid tones, overexposed, static, blurry details, subtitles, style, artwork, painting, picture, still image, overall gray, worst quality, low quality, JPEG compression artifacts, ugly, deformed, extra fingers, poorly drawn hands, poorly drawn face, distorted, disfigured, malformed limbs, fused fingers, unmoving frame, cluttered background, three legs,",
|
||
"current_prompt": "",
|
||
"negative": "",
|
||
|
||
# --- LORAS ---
|
||
"lora 1 high": "", "lora 1 low": "",
|
||
"lora 2 high": "", "lora 2 low": "",
|
||
"lora 3 high": "", "lora 3 low": "",
|
||
"prompt_history": []
|
||
}
|
||
|
||
GENERIC_TEMPLATES = ["prompt_i2v.json", "prompt_vace_extend.json", "batch_i2v.json", "batch_vace.json"]
|
||
|
||
# --- Helper Functions ---
|
||
def load_config():
|
||
if CONFIG_FILE.exists():
|
||
try:
|
||
with open(CONFIG_FILE, 'r') as f:
|
||
return json.load(f)
|
||
except:
|
||
pass
|
||
return {"last_dir": str(Path.cwd()), "favorites": []}
|
||
|
||
def save_config(current_dir, favorites):
|
||
with open(CONFIG_FILE, 'w') as f:
|
||
json.dump({"last_dir": str(current_dir), "favorites": favorites}, f, indent=4)
|
||
|
||
def load_snippets():
|
||
if SNIPPETS_FILE.exists():
|
||
try:
|
||
with open(SNIPPETS_FILE, 'r') as f:
|
||
return json.load(f)
|
||
except:
|
||
pass
|
||
return {}
|
||
|
||
def save_snippets(snippets):
|
||
with open(SNIPPETS_FILE, 'w') as f:
|
||
json.dump(snippets, f, indent=4)
|
||
|
||
def get_file_mtime(path):
|
||
if path.exists(): return os.path.getmtime(path)
|
||
return 0
|
||
|
||
def load_json(path):
|
||
# Robust loader that handles empty files or bad json
|
||
if not path.exists(): return DEFAULTS.copy(), 0
|
||
try:
|
||
with open(path, 'r') as f:
|
||
data = json.load(f)
|
||
return data, get_file_mtime(path)
|
||
except:
|
||
return DEFAULTS.copy(), 0
|
||
|
||
def save_json(path, data):
|
||
# Preserve existing structure if possible
|
||
if path.exists():
|
||
try:
|
||
with open(path, 'r') as f:
|
||
existing = json.load(f)
|
||
# If we are saving a dict into a dict, update it
|
||
if isinstance(existing, dict) and isinstance(data, dict):
|
||
existing.update(data)
|
||
data = existing
|
||
except:
|
||
pass
|
||
|
||
with open(path, 'w') as f:
|
||
json.dump(data, f, indent=4)
|
||
return get_file_mtime(path)
|
||
|
||
def generate_templates(directory):
|
||
for filename in GENERIC_TEMPLATES:
|
||
path = directory / filename
|
||
if "batch" in filename:
|
||
data = {"batch_data": []}
|
||
else:
|
||
data = DEFAULTS.copy()
|
||
if "vace" in filename:
|
||
data.update({"frame_to_skip": 81, "vace schedule": 1, "video file path": ""})
|
||
elif "i2v" in filename:
|
||
data.update({"reference image path": "", "flf image path": ""})
|
||
save_json(path, data)
|
||
|
||
# --- Initialization ---
|
||
if 'config' not in st.session_state:
|
||
st.session_state.config = load_config()
|
||
st.session_state.current_dir = Path(st.session_state.config.get("last_dir", Path.cwd()))
|
||
if 'snippets' not in st.session_state: st.session_state.snippets = load_snippets()
|
||
if 'loaded_file' not in st.session_state: st.session_state.loaded_file = None
|
||
if 'last_mtime' not in st.session_state: st.session_state.last_mtime = 0
|
||
if 'edit_history_idx' not in st.session_state: st.session_state.edit_history_idx = None
|
||
|
||
# --- Sidebar ---
|
||
with st.sidebar:
|
||
st.header("📂 Navigator")
|
||
|
||
new_path = st.text_input("Current Path", value=str(st.session_state.current_dir))
|
||
if new_path != str(st.session_state.current_dir):
|
||
p = Path(new_path)
|
||
if p.exists() and p.is_dir():
|
||
st.session_state.current_dir = p
|
||
st.session_state.config['last_dir'] = str(p)
|
||
save_config(st.session_state.current_dir, st.session_state.config['favorites'])
|
||
st.rerun()
|
||
|
||
if st.button("📌 Pin Current Folder"):
|
||
if str(st.session_state.current_dir) not in st.session_state.config['favorites']:
|
||
st.session_state.config['favorites'].append(str(st.session_state.current_dir))
|
||
save_config(st.session_state.current_dir, st.session_state.config['favorites'])
|
||
st.rerun()
|
||
|
||
fav_selection = st.radio("Jump to:", ["Select..."] + st.session_state.config['favorites'], index=0, label_visibility="collapsed")
|
||
if fav_selection != "Select..." and fav_selection != str(st.session_state.current_dir):
|
||
st.session_state.current_dir = Path(fav_selection)
|
||
st.rerun()
|
||
|
||
st.markdown("---")
|
||
|
||
st.subheader("🧩 Snippet Library")
|
||
with st.expander("Add New Snippet"):
|
||
snip_name = st.text_input("Name", placeholder="e.g. Cinematic")
|
||
snip_content = st.text_area("Content", placeholder="4k, high quality...")
|
||
if st.button("Save Snippet"):
|
||
if snip_name and snip_content:
|
||
st.session_state.snippets[snip_name] = snip_content
|
||
save_snippets(st.session_state.snippets)
|
||
st.success(f"Saved '{snip_name}'")
|
||
st.rerun()
|
||
|
||
if st.session_state.snippets:
|
||
st.caption("Click to Append to Prompt:")
|
||
for name, content in st.session_state.snippets.items():
|
||
col_s1, col_s2 = st.columns([4, 1])
|
||
if col_s1.button(f"➕ {name}", use_container_width=True):
|
||
st.session_state.append_prompt = content
|
||
st.rerun()
|
||
if col_s2.button("🗑️", key=f"del_snip_{name}"):
|
||
del st.session_state.snippets[name]
|
||
save_snippets(st.session_state.snippets)
|
||
st.rerun()
|
||
|
||
st.markdown("---")
|
||
|
||
json_files = sorted(list(st.session_state.current_dir.glob("*.json")))
|
||
json_files = [f for f in json_files if f.name != ".editor_config.json" and f.name != ".editor_snippets.json"]
|
||
|
||
if not json_files:
|
||
if st.button("Generate Templates"):
|
||
generate_templates(st.session_state.current_dir)
|
||
st.rerun()
|
||
|
||
with st.expander("Create New JSON"):
|
||
new_filename = st.text_input("Filename", placeholder="my_prompt_vace")
|
||
is_batch = st.checkbox("Is Batch File?")
|
||
if st.button("Create"):
|
||
if not new_filename.endswith(".json"): new_filename += ".json"
|
||
path = st.session_state.current_dir / new_filename
|
||
if is_batch:
|
||
data = {"batch_data": []}
|
||
else:
|
||
data = DEFAULTS.copy()
|
||
if "vace" in new_filename: data.update({"frame_to_skip": 81, "vace schedule": 1, "video file path": ""})
|
||
elif "i2v" in new_filename: data.update({"reference image path": "", "flf image path": ""})
|
||
save_json(path, data)
|
||
st.rerun()
|
||
|
||
selected_file_name = st.radio("Select File", [f.name for f in json_files])
|
||
|
||
# --- Load Logic ---
|
||
if selected_file_name:
|
||
file_path = st.session_state.current_dir / selected_file_name
|
||
|
||
if st.session_state.loaded_file != str(file_path):
|
||
data, mtime = load_json(file_path)
|
||
st.session_state.data_cache = data
|
||
st.session_state.last_mtime = mtime
|
||
st.session_state.loaded_file = str(file_path)
|
||
if 'append_prompt' in st.session_state: del st.session_state.append_prompt
|
||
if 'rand_seed' in st.session_state: del st.session_state.rand_seed
|
||
st.session_state.edit_history_idx = None
|
||
else:
|
||
data = st.session_state.data_cache
|
||
|
||
st.title(f"Editing: {selected_file_name}")
|
||
|
||
is_batch_file = "batch_data" in data or isinstance(data, list)
|
||
|
||
# --- TABS ---
|
||
tab_single, tab_batch = st.tabs(["📝 Single Editor", "🚀 Batch Processor"])
|
||
|
||
# ==============================================================================
|
||
# TAB 1: SINGLE EDITOR
|
||
# ==============================================================================
|
||
with tab_single:
|
||
if is_batch_file:
|
||
st.info("This is a batch file. Switch to the 'Batch Processor' tab.")
|
||
else:
|
||
col1, col2 = st.columns([2, 1])
|
||
with col1:
|
||
with st.expander("🌍 General Prompts (Global Layer)", expanded=False):
|
||
gen_prompt = st.text_area("General Prompt", value=data.get("general_prompt", ""), height=100)
|
||
gen_negative = st.text_area("General Negative", value=data.get("general_negative", DEFAULTS["general_negative"]), height=100)
|
||
|
||
st.write("📝 **Specific Prompts**")
|
||
current_prompt_val = data.get("current_prompt", "")
|
||
if 'append_prompt' in st.session_state:
|
||
current_prompt_val = (current_prompt_val.strip() + ", " + st.session_state.append_prompt).strip(', ')
|
||
del st.session_state.append_prompt
|
||
|
||
new_prompt = st.text_area("Specific Prompt", value=current_prompt_val, height=150)
|
||
new_negative = st.text_area("Specific Negative", value=data.get("negative", ""), height=100)
|
||
|
||
col_seed_val, col_seed_btn = st.columns([4, 1])
|
||
with col_seed_btn:
|
||
st.write("")
|
||
st.write("")
|
||
if st.button("🎲 Randomize"):
|
||
st.session_state.rand_seed = random.randint(0, 999999999999)
|
||
st.rerun()
|
||
|
||
with col_seed_val:
|
||
seed_val = st.session_state.get('rand_seed', int(data.get("seed", 0)))
|
||
new_seed = st.number_input("Seed", value=seed_val, step=1, min_value=0, format="%d")
|
||
data["seed"] = new_seed
|
||
|
||
st.subheader("LoRAs")
|
||
st.code("<lora::1.0>", language="text")
|
||
l_col1, l_col2 = st.columns(2)
|
||
loras = {}
|
||
keys = ["lora 1 high", "lora 1 low", "lora 2 high", "lora 2 low", "lora 3 high", "lora 3 low"]
|
||
for i, k in enumerate(keys):
|
||
with (l_col1 if i % 2 == 0 else l_col2):
|
||
loras[k] = st.text_input(k, value=data.get(k, ""))
|
||
|
||
st.subheader("Settings")
|
||
spec_fields = {}
|
||
spec_fields["camera"] = st.text_input("camera", value=str(data.get("camera", DEFAULTS["camera"])))
|
||
spec_fields["flf"] = st.text_input("flf", value=str(data.get("flf", DEFAULTS["flf"])))
|
||
|
||
if "vace" in selected_file_name:
|
||
spec_fields["frame_to_skip"] = st.number_input("frame_to_skip", value=int(data.get("frame_to_skip", 81)))
|
||
spec_fields["input_a_frames"] = st.number_input("input_a_frames", value=int(data.get("input_a_frames", 0)))
|
||
spec_fields["input_b_frames"] = st.number_input("input_b_frames", value=int(data.get("input_b_frames", 0)))
|
||
spec_fields["reference switch"] = st.number_input("reference switch", value=int(data.get("reference switch", 1)))
|
||
spec_fields["vace schedule"] = st.number_input("vace schedule", value=int(data.get("vace schedule", 1)))
|
||
for f in ["reference path", "video file path", "reference image path"]:
|
||
spec_fields[f] = st.text_input(f, value=str(data.get(f, "")))
|
||
elif "i2v" in selected_file_name:
|
||
for f in ["reference image path", "flf image path", "video file path"]:
|
||
spec_fields[f] = st.text_input(f, value=str(data.get(f, "")))
|
||
|
||
with col2:
|
||
# Capture State
|
||
current_state = {
|
||
"general_prompt": gen_prompt, "general_negative": gen_negative,
|
||
"current_prompt": new_prompt, "negative": new_negative,
|
||
"seed": new_seed, **loras, **spec_fields
|
||
}
|
||
|
||
st.subheader("Actions")
|
||
current_disk_mtime = get_file_mtime(file_path)
|
||
is_conflict = current_disk_mtime > st.session_state.last_mtime
|
||
|
||
if is_conflict:
|
||
st.error("⚠️ CONFLICT: Disk change detected!")
|
||
c1, c2 = st.columns(2)
|
||
if c1.button("Force Save"):
|
||
data.update(current_state)
|
||
st.session_state.last_mtime = save_json(file_path, data)
|
||
st.session_state.data_cache = data
|
||
st.toast("Saved!", icon="⚠️")
|
||
st.rerun()
|
||
if c2.button("Reload"):
|
||
st.session_state.loaded_file = None
|
||
st.rerun()
|
||
else:
|
||
if st.button("💾 Update File", use_container_width=True):
|
||
data.update(current_state)
|
||
st.session_state.last_mtime = save_json(file_path, data)
|
||
st.session_state.data_cache = data
|
||
st.toast("Updated!", icon="✅")
|
||
|
||
st.markdown("---")
|
||
|
||
archive_note = st.text_input("Archive Note")
|
||
if st.button("📦 Snapshot to History", use_container_width=True):
|
||
entry = {
|
||
"note": archive_note if archive_note else f"Snapshot",
|
||
**current_state
|
||
}
|
||
if "prompt_history" not in data: data["prompt_history"] = []
|
||
data["prompt_history"].insert(0, entry)
|
||
data.update(entry)
|
||
st.session_state.last_mtime = save_json(file_path, data)
|
||
st.session_state.data_cache = data
|
||
st.toast("Archived!", icon="📦")
|
||
st.rerun()
|
||
|
||
st.markdown("---")
|
||
st.subheader("History")
|
||
history = data.get("prompt_history", [])
|
||
for idx, h in enumerate(history):
|
||
with st.expander(f"#{idx+1}: {h.get('note', 'No Note')}"):
|
||
if st.button(f"Restore #{idx+1}", key=f"rest_{idx}"):
|
||
data.update(h)
|
||
st.session_state.last_mtime = save_json(file_path, data)
|
||
st.rerun()
|
||
|
||
# ==============================================================================
|
||
# TAB 2: BATCH PROCESSOR
|
||
# ==============================================================================
|
||
with tab_batch:
|
||
if not is_batch_file:
|
||
st.warning("This is not a batch file.")
|
||
if st.button("Convert this file to Batch format?"):
|
||
first_item = data.copy()
|
||
if "prompt_history" in first_item: del first_item["prompt_history"]
|
||
first_item["sequence_number"] = 1
|
||
new_data = {"batch_data": [first_item], "prompt_history": data.get("prompt_history", [])}
|
||
st.session_state.last_mtime = save_json(file_path, new_data)
|
||
st.session_state.data_cache = new_data
|
||
st.rerun()
|
||
else:
|
||
batch_list = data.get("batch_data", [])
|
||
|
||
# --- IMPORT SOURCE SELECTOR ---
|
||
st.subheader("Import Settings")
|
||
file_options = [f.name for f in json_files]
|
||
# Try to default to a likely single file if possible
|
||
default_idx = 0
|
||
if selected_file_name in file_options:
|
||
default_idx = file_options.index(selected_file_name)
|
||
|
||
import_source_name = st.selectbox("Select Source File to Copy From:", file_options, index=default_idx)
|
||
|
||
# Load the source data once
|
||
source_data, _ = load_json(st.session_state.current_dir / import_source_name)
|
||
|
||
st.markdown("---")
|
||
st.info(f"Batch contains {len(batch_list)} sequences.")
|
||
|
||
# --- RENDER SEQUENCES ---
|
||
for i, seq in enumerate(batch_list):
|
||
seq_num = seq.get("sequence_number", i+1)
|
||
|
||
with st.expander(f"🎬 Sequence #{seq_num} : {seq.get('current_prompt', '')[:40]}...", expanded=False):
|
||
|
||
# Action Bar
|
||
b_col1, b_col2, b_col3 = st.columns([1, 1, 2])
|
||
|
||
# 1. COPY FROM SOURCE BUTTON
|
||
if b_col1.button(f"📥 Copy from {import_source_name}", key=f"copy_src_{i}"):
|
||
# Merge defaults + source data + keep sequence number
|
||
updated_seq = DEFAULTS.copy()
|
||
# Flatten source data if it's a batch file (take first item) or regular dict
|
||
src_flat = source_data
|
||
if "batch_data" in source_data:
|
||
if source_data["batch_data"]:
|
||
src_flat = source_data["batch_data"][0]
|
||
|
||
updated_seq.update(src_flat)
|
||
updated_seq["sequence_number"] = seq_num
|
||
|
||
# Cleanup History keys if present
|
||
if "prompt_history" in updated_seq: del updated_seq["prompt_history"]
|
||
|
||
batch_list[i] = updated_seq
|
||
save_json(file_path, data)
|
||
st.toast(f"Seq #{seq_num} imported from {import_source_name}!", icon="📥")
|
||
st.rerun()
|
||
|
||
# 2. PROMOTE TO SINGLE BUTTON
|
||
if b_col2.button("↖️ Promote to Single", key=f"prom_seq_{i}", help="Convert this entire file back to Single mode using this sequence"):
|
||
new_single_data = seq.copy()
|
||
# Preserve history from the root file
|
||
new_single_data["prompt_history"] = data.get("prompt_history", [])
|
||
# Clean up sequence specific keys
|
||
if "sequence_number" in new_single_data: del new_single_data["sequence_number"]
|
||
|
||
# Overwrite file
|
||
st.session_state.last_mtime = save_json(file_path, new_single_data)
|
||
st.session_state.data_cache = new_single_data
|
||
st.toast("Converted back to Single File!", icon="✅")
|
||
st.rerun()
|
||
|
||
if b_col3.button("🗑️ Remove", key=f"del_seq_{i}"):
|
||
batch_list.pop(i)
|
||
save_json(file_path, data)
|
||
st.rerun()
|
||
|
||
# Editable Fields
|
||
st.markdown("---")
|
||
sb_col1, sb_col2 = st.columns([2, 1])
|
||
|
||
with sb_col1:
|
||
seq["general_prompt"] = st.text_area("General P", value=seq.get("general_prompt", ""), height=60, key=f"b_gp_{i}")
|
||
seq["general_negative"] = st.text_area("General N", value=seq.get("general_negative", ""), height=60, key=f"b_gn_{i}")
|
||
seq["current_prompt"] = st.text_area("Specific P", value=seq.get("current_prompt", ""), height=100, key=f"b_sp_{i}")
|
||
seq["negative"] = st.text_area("Specific N", value=seq.get("negative", ""), height=60, key=f"b_sn_{i}")
|
||
|
||
with sb_col2:
|
||
seq["sequence_number"] = st.number_input("Seq Num", value=int(seq_num), key=f"b_seqn_{i}")
|
||
seq["seed"] = st.number_input("Seed", value=int(seq.get("seed", 0)), key=f"b_seed_{i}")
|
||
seq["camera"] = st.text_input("Camera", value=seq.get("camera", ""), key=f"b_cam_{i}")
|
||
|
||
if "video file path" in seq or "vace" in selected_file_name:
|
||
seq["video file path"] = st.text_input("Video Path", value=seq.get("video file path", ""), key=f"b_vid_{i}")
|
||
if "reference image path" in seq or "i2v" in selected_file_name:
|
||
seq["reference image path"] = st.text_input("Ref Img", value=seq.get("reference image path", ""), key=f"b_ref_{i}")
|
||
|
||
st.markdown("---")
|
||
|
||
# Add New Sequence Logic
|
||
ab_col1, ab_col2 = st.columns([1, 3])
|
||
if ab_col1.button("➕ Add New (Empty)", type="primary"):
|
||
new_seq = DEFAULTS.copy()
|
||
if "prompt_history" in new_seq: del new_seq["prompt_history"]
|
||
max_seq = 0
|
||
for s in batch_list:
|
||
if "sequence_number" in s: max_seq = max(max_seq, int(s["sequence_number"]))
|
||
new_seq["sequence_number"] = max_seq + 1
|
||
batch_list.append(new_seq)
|
||
save_json(file_path, data)
|
||
st.rerun()
|
||
|
||
if ab_col2.button(f"➕ Add Copy from {import_source_name}"):
|
||
# Clone source data into new sequence
|
||
new_seq = DEFAULTS.copy()
|
||
src_flat = source_data
|
||
if "batch_data" in source_data and source_data["batch_data"]:
|
||
src_flat = source_data["batch_data"][0]
|
||
|
||
new_seq.update(src_flat)
|
||
if "prompt_history" in new_seq: del new_seq["prompt_history"]
|
||
|
||
max_seq = 0
|
||
for s in batch_list:
|
||
if "sequence_number" in s: max_seq = max(max_seq, int(s["sequence_number"]))
|
||
new_seq["sequence_number"] = max_seq + 1
|
||
|
||
batch_list.append(new_seq)
|
||
save_json(file_path, data)
|
||
st.rerun()
|
||
|
||
if st.button("💾 Save Batch Changes"):
|
||
data["batch_data"] = batch_list
|
||
st.session_state.last_mtime = save_json(file_path, data)
|
||
st.session_state.data_cache = data
|
||
st.toast("Batch saved!", icon="🚀")
|