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):
    with open(path, 'r') as f:
        data = json.load(f)
    return data, get_file_mtime(path)

def save_json(path, data):
    # For batch files, we might be saving a list or a dict containing a list
    # For single files, we save the dict
    if path.exists():
        try:
            with open(path, 'r') as f:
                existing = json.load(f)
            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:
            # Batch template is a list of sequence objects
            data = {"batch_data": []} # Root object to hold list
        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
# Cache for single editor data to copy from
if 'single_editor_cache' not in st.session_state: st.session_state.single_editor_cache = DEFAULTS.copy()

# --- 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
    
    # Reload check
    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}")

    # Determine File Type
    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 to edit sequences.")
        else:
            # --- UI LAYOUT ---
            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:
                # Store current state for "Copy to Batch" feature
                current_state = {
                    "general_prompt": gen_prompt, "general_negative": gen_negative,
                    "current_prompt": new_prompt, "negative": new_negative,
                    "seed": new_seed, **loras, **spec_fields
                }
                st.session_state.single_editor_cache = current_state

                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("---")
                    
                    # History Logic
                    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) # Simplified restore for brevity
                            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. Please create a new JSON with 'Is Batch File' checked or open a batch json.")
            if st.button("Convert this file to Batch format?"):
                # Convert current settings to first batch item
                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 EDITOR LOGIC
            batch_list = data.get("batch_data", [])
            
            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, 4])
                    if b_col1.button("📥 Copy from Editor", key=f"copy_single_{i}", help="Paste settings from the Single Editor tab"):
                        # Merge defaults + cached single editor state + keep sequence number
                        updated_seq = DEFAULTS.copy()
                        updated_seq.update(st.session_state.single_editor_cache)
                        updated_seq["sequence_number"] = seq_num
                        # Remove non-sequence keys
                        if "prompt_history" in updated_seq: del updated_seq["prompt_history"]
                        batch_list[i] = updated_seq
                        save_json(file_path, data)
                        st.toast(f"Sequence {seq_num} updated from Editor!", icon="📥")
                        st.rerun()

                    if b_col2.button("🗑️ Remove", key=f"del_seq_{i}"):
                        batch_list.pop(i)
                        save_json(file_path, data)
                        st.rerun()

                    # Editable Fields for this Sequence
                    st.markdown("---")
                    sb_col1, sb_col2 = st.columns([2, 1])
                    
                    with sb_col1:
                        # Prompts
                        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:
                        # Key settings
                        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}")
                        
                        # Paths
                        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("---")
            if st.button("➕ Add New Sequence", type="primary"):
                # Create new blank sequence
                new_seq = DEFAULTS.copy()
                if "prompt_history" in new_seq: del new_seq["prompt_history"]
                
                # Auto-increment
                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()
            
            # Global Batch Save
            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="🚀")