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="🚀")