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# app.py
# =============================================================================
# ───────────── IMPORTS ─────────────
# =============================================================================
import base64
import glob
import hashlib
import json
import os
import pandas as pd
import pytz
import random
import re
import shutil
import streamlit as st
import time
import traceback
import uuid
import zipfile
from PIL import Image
from azure.cosmos import CosmosClient, PartitionKey, exceptions
from datetime import datetime
from git import Repo
from github import Github
from gradio_client import Client, handle_file
import tempfile
import io
import requests
import numpy as np
from urllib.parse import quote

# =============================================================================
# ───────────── EXTERNAL HELP LINKS (Always visible in sidebar) ─────────────
# =============================================================================
external_links = [
    {"title": "MergeKit Official GitHub", "url": "https://github.com/arcee-ai/MergeKit", "emoji": "πŸ’»"},
    {"title": "MergeKit arXiv Paper", "url": "https://arxiv.org/abs/xxxx.xxxxx", "emoji": "πŸ“˜"},
    {"title": "MergeKit Tutorial", "url": "https://huggingface.co/blog/mergekit-tutorial", "emoji": "✍️"},
    {"title": "MergeKit Sample Usage", "url": "https://github.com/arcee-ai/MergeKit#examples", "emoji": "πŸ“š"},
    {"title": "DistillKit Official GitHub", "url": "https://github.com/arcee-ai/DistillKit", "emoji": "πŸ’»"},
    {"title": "DistillKit Announcing Blog Post", "url": "https://arcee.ai/blog/distillkit-announcement", "emoji": "✍️"},
    {"title": "DistillKit Sample Usage", "url": "https://github.com/arcee-ai/DistillKit#usage", "emoji": "πŸ“š"},
    {"title": "Spectrum Hugging Face Blog Post", "url": "https://huggingface.co/blog/spectrum", "emoji": "✍️"},
    {"title": "Hugging Face Model Merging Docs", "url": "https://huggingface.co/docs/peft/model_merging", "emoji": "πŸ“š"},
    {"title": "arcee.ai Official Website", "url": "https://arcee.ai", "emoji": "🌐"},
]

# =============================================================================
# ───────────── APP CONFIGURATION ─────────────
# =============================================================================
Site_Name = 'πŸ™ GitCosmos'
title = "πŸ™ GitCosmos"
helpURL = 'https://huggingface.co/awacke1'
bugURL = 'https://huggingface.co/spaces/awacke1/AzureCosmosDBUI/'
icons = 'πŸ™πŸŒŒπŸ’«'
st.set_page_config(
    page_title=title,
    page_icon=icons,
    layout="wide",
    initial_sidebar_state="auto",
    menu_items={
        'Get Help': helpURL,
        'Report a bug': bugURL,
        'About': title
    }
)

# Cosmos DB & App URLs
ENDPOINT = "https://acae-afd.documents.azure.com:443/"
DATABASE_NAME = os.environ.get("COSMOS_DATABASE_NAME")
CONTAINER_NAME = os.environ.get("COSMOS_CONTAINER_NAME")
Key = os.environ.get("Key")
LOCAL_APP_URL = "https://huggingface.co/spaces/awacke1/AzureCosmosDBUI"
CosmosDBUrl = 'https://portal.azure.com/#@AaronCWackergmail.onmicrosoft.com/resource/subscriptions/003fba60-5b3f-48f4-ab36-3ed11bc40816/resourceGroups/datasets/providers/Microsoft.DocumentDB/databaseAccounts/acae-afd/dataExplorer'

# =============================================================================
# ───────────── HELPER FUNCTIONS ─────────────
# =============================================================================
def get_download_link(file_path):
    with open(file_path, "rb") as file:
        contents = file.read()
        b64 = base64.b64encode(contents).decode()
        file_name = os.path.basename(file_path)
        return f'<a href="data:file/txt;base64,{b64}" download="{file_name}">Download {file_name} πŸ“‚</a>'

def generate_unique_id():
    timestamp = datetime.utcnow().strftime('%Y%m%d%H%M%S%f')
    unique_uuid = str(uuid.uuid4())
    return_value = f"{timestamp}-{unique_uuid}"
    st.write('New ID: ' + return_value)
    return return_value

def generate_filename(prompt, file_type):
    central = pytz.timezone('US/Central')
    safe_date_time = datetime.now(central).strftime("%m%d_%H%M")
    safe_prompt = re.sub(r'\W+', '', prompt)[:90]
    return f"{safe_date_time}{safe_prompt}.{file_type}"

def create_file(filename, prompt, response, should_save=True):
    if not should_save:
        return
    with open(filename, 'w', encoding='utf-8') as file:
        file.write(prompt + "\n\n" + response)

def load_file(file_name):
    with open(file_name, "r", encoding='utf-8') as file:
        content = file.read()
    return content

def display_glossary_entity(k):
    search_urls = {
        "πŸš€": lambda k: f"/?q={k}",
        "πŸ“–": lambda k: f"https://en.wikipedia.org/wiki/{quote(k)}",
        "πŸ”": lambda k: f"https://www.google.com/search?q={quote(k)}",
        "πŸŽ₯": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
    }
    links_md = ' '.join([f"<a href='{url(k)}' target='_blank'>{emoji}</a>" for emoji, url in search_urls.items()])
    st.markdown(f"{k} {links_md}", unsafe_allow_html=True)

def create_zip_of_files(files):
    zip_name = "all_files.zip"
    with zipfile.ZipFile(zip_name, 'w') as zipf:
        for file in files:
            zipf.write(file)
    return zip_name

def get_video_html(video_path, width="100%"):
    video_url = f"data:video/mp4;base64,{base64.b64encode(open(video_path, 'rb').read()).decode()}"
    return f'''
    <video width="{width}" controls autoplay loop>
        <source src="{video_url}" type="video/mp4">
        Your browser does not support video.
    </video>
    '''

def get_audio_html(audio_path, width="100%"):
    audio_url = f"data:audio/mpeg;base64,{base64.b64encode(open(audio_path, 'rb').read()).decode()}"
    return f'''
    <audio controls style="width:{width}">
        <source src="{audio_url}" type="audio/mpeg">
        Your browser does not support audio.
    </audio>
    '''

def preprocess_text(text):
    text = text.replace('\r\n', '\\n').replace('\r', '\\n').replace('\n', '\\n')
    text = text.replace('"', '\\"')
    text = re.sub(r'[\t]', ' ', text)
    text = re.sub(r'[^\x00-\x7F]+', '', text)
    return text.strip()

# =============================================================================
# ───────────── COSMOS DB FUNCTIONS ─────────────
# =============================================================================
def get_databases(client):
    return [db['id'] for db in client.list_databases()]

def get_containers(database):
    return [container['id'] for container in database.list_containers()]

def get_documents(container, limit=None):
    query = "SELECT * FROM c ORDER BY c._ts DESC"
    items = list(container.query_items(query=query, enable_cross_partition_query=True, max_item_count=limit))
    return items

def insert_record(container, record):
    try:
        container.create_item(body=record)
        return True, "Inserted! πŸŽ‰"
    except exceptions.CosmosHttpResponseError as e:
        return False, f"HTTP error: {str(e)} 🚨"
    except Exception as e:
        return False, f"Error: {str(e)} 😱"

def update_record(container, updated_record):
    try:
        container.upsert_item(body=updated_record)
        return True, f"Updated {updated_record['id']} πŸ› οΈ"
    except exceptions.CosmosHttpResponseError as e:
        return False, f"HTTP error: {str(e)} 🚨"
    except Exception as e:
        return False, f"Error: {traceback.format_exc()} 😱"

def delete_record(container, record):
    try:
        if "id" not in record:
            return False, "Record must contain an 'id' field. πŸ›‘"
        doc_id = record["id"]
        if "delete_log" not in st.session_state:
            st.session_state.delete_log = []
        st.session_state.delete_log.append(f"Attempting to delete document: {json.dumps(record, indent=2)}")
        partition_key_value = record.get("pk", doc_id)
        st.session_state.delete_log.append(f"Using ID and Partition Key: {partition_key_value}")
        container.delete_item(item=doc_id, partition_key=partition_key_value)
        success_msg = f"Record {doc_id} successfully deleted from Cosmos DB. πŸ—‘οΈ"
        st.session_state.delete_log.append(success_msg)
        return True, success_msg
    except exceptions.CosmosResourceNotFoundError:
        success_msg = f"Record {doc_id} not found in Cosmos DB (already deleted or never existed). πŸ—‘οΈ"
        st.session_state.delete_log.append(success_msg)
        return True, success_msg
    except exceptions.CosmosHttpResponseError as e:
        error_msg = f"HTTP error deleting {doc_id}: {str(e)}. 🚨"
        st.session_state.delete_log.append(error_msg)
        return False, error_msg
    except Exception as e:
        error_msg = f"Unexpected error deleting {doc_id}: {str(traceback.format_exc())}. 😱"
        st.session_state.delete_log.append(error_msg)
        return False, error_msg

def save_to_cosmos_db(container, query, response1, response2):
    try:
        if container:
            timestamp = datetime.utcnow().strftime('%Y%m%d%H%M%S%f')
            unique_uuid = str(uuid.uuid4())
            new_id = f"{timestamp}-{unique_uuid}"
            record = {
                "id": new_id,
                "pk": new_id,
                "name": new_id,
                "query": query,
                "response1": response1,
                "response2": response2,
                "timestamp": datetime.utcnow().isoformat(),
                "type": "ai_response",
                "version": "1.0"
            }
            container.create_item(body=record)
            st.success(f"Saved: {record['id']}")
            st.session_state.documents = get_documents(container)
        else:
            st.error("Cosmos container not initialized.")
    except Exception as e:
        st.error(f"Save error: {str(e)}")

def archive_current_container(database_name, container_name, client):
    try:
        base_dir = "./cosmos_archive_current_container"
        if os.path.exists(base_dir):
            shutil.rmtree(base_dir)
        os.makedirs(base_dir)
        db_client = client.get_database_client(database_name)
        container_client = db_client.get_container_client(container_name)
        items = list(container_client.read_all_items())
        container_dir = os.path.join(base_dir, container_name)
        os.makedirs(container_dir)
        for item in items:
            item_id = item.get('id', f"unknown_{datetime.now().strftime('%Y%m%d%H%M%S')}")
            with open(os.path.join(container_dir, f"{item_id}.json"), 'w') as f:
                json.dump(item, f, indent=2)
        archive_name = f"{container_name}_archive_{datetime.now().strftime('%Y%m%d%H%M%S')}"
        shutil.make_archive(archive_name, 'zip', base_dir)
        return get_download_link(f"{archive_name}.zip")
    except Exception as e:
        return f"Archive error: {str(e)} 😒"

# =============================================================================
# ───────────── ADVANCED COSMOS FUNCTIONS ─────────────
# =============================================================================
def create_new_container(database, container_id, partition_key_path,
                         analytical_storage_ttl=None, indexing_policy=None, vector_embedding_policy=None):
    try:
        if analytical_storage_ttl is not None:
            container = database.create_container(
                id=container_id,
                partition_key=PartitionKey(path=partition_key_path),
                analytical_storage_ttl=analytical_storage_ttl,
                indexing_policy=indexing_policy,
                vector_embedding_policy=vector_embedding_policy
            )
        else:
            container = database.create_container(
                id=container_id,
                partition_key=PartitionKey(path=partition_key_path),
                indexing_policy=indexing_policy,
                vector_embedding_policy=vector_embedding_policy
            )
    except exceptions.CosmosHttpResponseError as e:
        if analytical_storage_ttl is not None and "analyticalStorageTtl" in str(e):
            try:
                container = database.create_container(
                    id=container_id,
                    partition_key=PartitionKey(path=partition_key_path),
                    indexing_policy=indexing_policy,
                    vector_embedding_policy=vector_embedding_policy
                )
            except Exception as e2:
                st.error(f"Error creating container without analytical_storage_ttl: {str(e2)}")
                return None
        elif isinstance(e, exceptions.CosmosResourceExistsError):
            container = database.get_container_client(container_id)
        else:
            st.error(f"Error creating container: {str(e)}")
            return None
    return container

def advanced_insert_item(container, item):
    try:
        container.upsert_item(item)
        return True, f"Item {item.get('id', '')} inserted. βž•"
    except Exception as e:
        return False, str(e)

def advanced_update_item(container, item):
    try:
        container.upsert_item(item)
        return True, f"Item {item.get('id', '')} updated. ✏️"
    except Exception as e:
        return False, str(e)

def advanced_delete_item(container, item_id, partition_key_value):
    try:
        container.delete_item(item=item_id, partition_key=partition_key_value)
        return True, f"Item {item_id} deleted. πŸ—‘οΈ"
    except Exception as e:
        return False, str(e)

def vector_search(container, query_vector, vector_field, top=10, exact_search=False):
    query_vector_str = json.dumps(query_vector)
    query = f"""SELECT TOP {top} c.id, VectorDistance(c.{vector_field}, {query_vector_str}, {str(exact_search).lower()}, 
    {{'dataType':'float32','distanceFunction':'cosine'}}) AS SimilarityScore 
    FROM c ORDER BY SimilarityScore"""
    results = list(container.query_items(query=query, enable_cross_partition_query=True))
    return results

# =============================================================================
# ───────────── GITHUB FUNCTIONS ─────────────
# =============================================================================
def download_github_repo(url, local_path):
    if os.path.exists(local_path):
        shutil.rmtree(local_path)
    Repo.clone_from(url, local_path)

def create_zip_file(source_dir, output_filename):
    shutil.make_archive(output_filename, 'zip', source_dir)

def create_repo(g, repo_name):
    user = g.get_user()
    return user.create_repo(repo_name)

def push_to_github(local_path, repo, github_token):
    repo_url = f"https://{github_token}@github.com/{repo.full_name}.git"
    local_repo = Repo(local_path)
    if 'origin' in [remote.name for remote in local_repo.remotes]:
        origin = local_repo.remote('origin')
        origin.set_url(repo_url)
    else:
        origin = local_repo.create_remote('origin', repo_url)
    if not local_repo.heads:
        local_repo.git.checkout('-b', 'main')
        current_branch = 'main'
    else:
        current_branch = local_repo.active_branch.name
    local_repo.git.add(A=True)
    if local_repo.is_dirty():
        local_repo.git.commit('-m', 'Initial commit')
    origin.push(refspec=f'{current_branch}:{current_branch}')

# =============================================================================
# ───────────── FILE & MEDIA MANAGEMENT FUNCTIONS ─────────────
# =============================================================================
def display_saved_files_in_sidebar():
    all_files = sorted([f for f in glob.glob("*.md") if not f.lower().startswith('readme')], reverse=True)
    st.sidebar.markdown("## πŸ“ Files")
    for file in all_files:
        col1, col2, col3 = st.sidebar.columns([6, 2, 1])
        with col1:
            st.markdown(f"πŸ“„ {file}")
        with col2:
            st.sidebar.download_button(
                label="⬇️",
                data=open(file, 'rb').read(),
                file_name=file
            )
        with col3:
            if st.sidebar.button("πŸ—‘", key=f"delete_{file}"):
                os.remove(file)
                st.rerun()

def display_file_viewer(file_path):
    content = load_file(file_path)
    if content:
        st.markdown("### πŸ“„ File Viewer")
        st.markdown(f"**{file_path}**")
        file_stats = os.stat(file_path)
        st.markdown(f"**Mod:** {datetime.fromtimestamp(file_stats.st_mtime).strftime('%Y-%m-%d %H:%M:%S')} | **Size:** {file_stats.st_size} bytes")
        st.markdown("---")
        st.markdown(content)
        st.download_button("⬇️", data=content, file_name=os.path.basename(file_path), mime="text/markdown")

def display_file_editor(file_path):
    if 'file_content' not in st.session_state:
        st.session_state.file_content = {}
    if file_path not in st.session_state.file_content:
        content = load_file(file_path)
        if content is not None:
            st.session_state.file_content[file_path] = content
        else:
            return
    st.markdown("### ✏️ Edit File")
    st.markdown(f"**Editing:** {file_path}")
    md_tab, code_tab = st.tabs(["Markdown", "Code"])
    with md_tab:
        st.markdown(st.session_state.file_content[file_path])
    with code_tab:
        new_content = st.text_area("Edit:", value=st.session_state.file_content[file_path], height=400, key=f"editor_{hash(file_path)}")
    col1, col2 = st.columns([1, 5])
    with col1:
        if st.button("πŸ’Ύ Save"):
            if save_file_content(file_path, new_content):
                st.session_state.file_content[file_path] = new_content
                st.success("Saved! πŸŽ‰")
                time.sleep(1)
                st.rerun()
    with col2:
        st.download_button("⬇️", data=new_content, file_name=os.path.basename(file_path), mime="text/markdown")

def save_file_content(file_path, content):
    try:
        with open(file_path, 'w', encoding='utf-8') as file:
            file.write(content)
        return True
    except Exception as e:
        st.error(f"Save error: {str(e)}")
        return False

def update_file_management_section():
    if 'file_view_mode' not in st.session_state:
        st.session_state.file_view_mode = None
    if 'current_file' not in st.session_state:
        st.session_state.current_file = None
    if 'file_content' not in st.session_state:
        st.session_state.file_content = {}
    all_files = sorted(glob.glob("*.md"), reverse=True)
    st.sidebar.title("πŸ“ Files")
    if st.sidebar.button("πŸ—‘ Delete All"):
        for file in all_files:
            os.remove(file)
        st.session_state.file_content = {}
        st.session_state.current_file = None
        st.session_state.file_view_mode = None
        st.rerun()
    if st.sidebar.button("⬇️ Download All"):
        zip_file = create_zip_of_files(all_files)
        st.sidebar.markdown(get_download_link(zip_file), unsafe_allow_html=True)
    for file in all_files:
        col1, col2, col3, col4 = st.sidebar.columns([1, 3, 1, 1])
        with col1:
            if st.button("🌐", key=f"view_{file}"):
                st.session_state.current_file = file
                st.session_state.file_view_mode = 'view'
                if file not in st.session_state.file_content:
                    content = load_file(file)
                    if content is not None:
                        st.session_state.file_content[file] = content
                st.rerun()
        with col2:
            st.markdown(get_download_link(file), unsafe_allow_html=True)
        with col3:
            if st.button("πŸ“‚", key=f"edit_{file}"):
                st.session_state.current_file = file
                st.session_state.file_view_mode = 'edit'
                if file not in st.session_state.file_content:
                    content = load_file(file)
                    if content is not None:
                        st.session_state.file_content[file] = content
                st.rerun()
        with col4:
            if st.button("πŸ—‘", key=f"delete_{file}"):
                os.remove(file)
                if file in st.session_state.file_content:
                    del st.session_state.file_content[file]
                if st.session_state.current_file == file:
                    st.session_state.current_file = None
                    st.session_state.file_view_mode = None
                st.rerun()
                
    st.sidebar.markdown("---")
    st.sidebar.title("External Help Links")
    for link in external_links:
        st.sidebar.markdown(f"{link['emoji']} [{link['title']}]({link['url']})", unsafe_allow_html=True)
       
    if st.session_state.current_file:
        if st.session_state.file_view_mode == 'view':
            display_file_viewer(st.session_state.current_file)
        elif st.session_state.file_view_mode == 'edit':
            display_file_editor(st.session_state.current_file)

# =============================================================================
# ───────────── VIDEO & AUDIO UI FUNCTIONS ─────────────
# =============================================================================
def validate_and_preprocess_image(file_data, target_size=(576, 1024)):
    try:
        st.write("Preprocessing image...")
        if isinstance(file_data, bytes):
            img = Image.open(io.BytesIO(file_data))
        elif hasattr(file_data, 'read'):
            if hasattr(file_data, 'seek'):
                file_data.seek(0)
            img = Image.open(file_data)
        elif isinstance(file_data, Image.Image):
            img = file_data
        else:
            raise ValueError(f"Unsupported input: {type(file_data)}")
        if img.mode != 'RGB':
            img = img.convert('RGB')
        aspect_ratio = img.size[0] / img.size[1]
        if aspect_ratio > target_size[0] / target_size[1]:
            new_width = target_size[0]
            new_height = int(new_width / aspect_ratio)
        else:
            new_height = target_size[1]
            new_width = int(new_height * aspect_ratio)
        new_width = (new_width // 2) * 2
        new_height = (new_height // 2) * 2
        resized_img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)
        final_img = Image.new('RGB', target_size, (255, 255, 255))
        paste_x = (target_size[0] - new_width) // 2
        paste_y = (target_size[1] - new_height) // 2
        final_img.paste(resized_img, (paste_x, paste_y))
        return final_img
    except Exception as e:
        st.error(f"Image error: {str(e)}")
        return None

def add_video_generation_ui(container):
    st.markdown("### πŸŽ₯ Video Gen")
    col1, col2 = st.columns([2, 1])
    with col1:
        uploaded_file = st.file_uploader("Upload Image πŸ–ΌοΈ", type=['png', 'jpg', 'jpeg'])
    with col2:
        st.markdown("#### Params")
        motion = st.slider("🌊 Motion", 1, 255, 127)
        fps = st.slider("🎬 FPS", 1, 30, 6)
        with st.expander("Advanced"):
            use_custom = st.checkbox("Custom Seed")
            seed = st.number_input("Seed", value=int(time.time() * 1000)) if use_custom else None
    if uploaded_file is not None:
        try:
            file_data = uploaded_file.read()
            preview1, preview2 = st.columns(2)
            with preview1:
                st.write("Original")
                st.image(Image.open(io.BytesIO(file_data)), use_column_width=True)
            with preview2:
                proc_img = validate_and_preprocess_image(io.BytesIO(file_data))
                if proc_img:
                    st.write("Processed")
                    st.image(proc_img, use_column_width=True)
                else:
                    st.error("Preprocess failed")
                    return
            if st.button("πŸŽ₯ Generate"):
                with st.spinner("Generating video..."):
                    with tempfile.NamedTemporaryFile(suffix='.png', delete=False) as temp_file:
                        proc_img.save(temp_file.name, format='PNG')
                        try:
                            client = Client("awacke1/stable-video-diffusion", hf_token=os.environ.get("HUGGINGFACE_TOKEN"))
                            result = client.predict(
                                image=temp_file.name,
                                seed=seed if seed is not None else int(time.time() * 1000),
                                randomize_seed=seed is None,
                                motion_bucket_id=motion,
                                fps_id=fps,
                                api_name="/video"
                            )
                            if result and isinstance(result, tuple) and len(result) >= 1:
                                video_path = result[0].get('video') if isinstance(result[0], dict) else None
                                if video_path and os.path.exists(video_path):
                                    video_filename = f"generated_video_{datetime.now().strftime('%Y%m%d_%H%M%S')}.mp4"
                                    shutil.copy(video_path, video_filename)
                                    st.success(f"Video generated! πŸŽ‰")
                                    st.video(video_filename)
                                    if container:
                                        video_record = {
                                            "id": generate_unique_id(),
                                            "pk": generate_unique_id(),
                                            "type": "generated_video",
                                            "filename": video_filename,
                                            "seed": seed if seed is not None else "random",
                                            "motion": motion,
                                            "fps": fps,
                                            "timestamp": datetime.now().isoformat()
                                        }
                                        success, message = insert_record(container, video_record)
                                        if success:
                                            st.success("DB record saved!")
                                        else:
                                            st.error(f"DB error: {message}")
                                else:
                                    st.error("Invalid result format")
                            else:
                                st.error("No result returned")
                        except Exception as e:
                            st.error(f"Video gen error: {str(e)}")
                        finally:
                            try:
                                os.unlink(temp_file.name)
                                st.write("Temp file removed")
                            except Exception as e:
                                st.warning(f"Cleanup error: {str(e)}")
        except Exception as e:
            st.error(f"Upload error: {str(e)}")

# =============================================================================
# ───────────── AI SAMPLES SIDEBAR (Processed as a Python List) ─────────────
# =============================================================================
def display_ai_samples():
    # Define a list of sample queries
    ai_samples = [
        {
            "name": "FullTextContains",
            "description": "Query using FullTextContains",
            "query": 'SELECT TOP 10 * FROM c WHERE FullTextContains(c.text, "bicycle")'
        },
        {
            "name": "FullTextContainsAll",
            "description": "Query using FullTextContainsAll",
            "query": 'SELECT TOP 10 * FROM c WHERE FullTextContainsAll(c.text, "red", "bicycle")'
        },
        {
            "name": "FullTextContainsAny",
            "description": "Query using FullTextContainsAny",
            "query": 'SELECT TOP 10 * FROM c WHERE FullTextContains(c.text, "red") AND FullTextContainsAny(c.text, "bicycle", "skateboard")'
        },
        {
            "name": "FullTextScore",
            "description": "Query using FullTextScore (order by relevance)",
            "query": 'SELECT TOP 10 * FROM c ORDER BY RANK FullTextScore(c.text, ["bicycle", "mountain"])'
        },
        {
            "name": "Vector Search with Score",
            "description": "Example vector search snippet",
            "query": 'results = vector_search.similarity_search_with_score(query="Your query", k=5)\nfor result, score in results:\n    print(result.json(), score)'
        },
        {
            "name": "Vector Search with Filtering",
            "description": "Example vector search with a filter",
            "query": 'pre_filter = {"conditions": [{"property": "metadata.page", "operator": "$eq", "value": 0}]}\nresults = vector_search.similarity_search_with_score(query="Your query", k=5, pre_filter=pre_filter)'
        },
        {
            "name": "Hybrid Search",
            "description": "Example hybrid search snippet",
            "query": 'results = vector_search.similarity_search_with_score(query="Your query", k=5, query_type=CosmosDBQueryType.HYBRID)'
        }
    ]
    st.sidebar.markdown("### πŸ€– AI Samples")
    st.sidebar.info("πŸš€ Get started with our AI samples! Time free access to get started today.")
    # Provide a dropdown to select one sample
    sample_names = [sample["name"] for sample in ai_samples]
    selected_sample_name = st.sidebar.selectbox("Select an AI Sample", sample_names)
    selected_sample = next((s for s in ai_samples if s["name"] == selected_sample_name), None)
    if selected_sample:
        st.sidebar.markdown(f"**{selected_sample['name']}**: {selected_sample['description']}")
        # Use language 'sql' for queries containing FullText, else python
        lang = "sql" if "FullText" in selected_sample["name"] else "python"
        st.sidebar.code(selected_sample["query"], language=lang)

# =============================================================================
# ───────────── MAIN FUNCTION ─────────────
# =============================================================================
def main():
    st.markdown("### πŸ™ GitCosmos - Cosmos & Git Hub")
    if "chat_history" not in st.session_state:
        st.session_state.chat_history = []
    # Auth & Cosmos client initialization
    if Key:
        st.session_state.primary_key = Key
        st.session_state.logged_in = True
    else:
        st.error("Missing Cosmos Key πŸ”‘βŒ")
        return
    if st.session_state.logged_in:
        try:
            if st.session_state.get("client") is None:
                st.session_state.client = CosmosClient(ENDPOINT, credential=st.session_state.primary_key)
            st.sidebar.title("πŸ™ Navigator")
            databases = get_databases(st.session_state.client)
            selected_db = st.sidebar.selectbox("πŸ—ƒοΈ DB", databases)
            st.markdown(CosmosDBUrl)
            if selected_db != st.session_state.get("selected_database"):
                st.session_state.selected_database = selected_db
                st.session_state.selected_container = None
                st.session_state.selected_document_id = None
                st.session_state.current_index = 0
                st.rerun()
            if st.session_state.selected_database:
                database = st.session_state.client.get_database_client(st.session_state.selected_database)
                
                # New Container button under DB menu
                if "show_new_container_form" not in st.session_state:
                    st.session_state.show_new_container_form = False
                if st.sidebar.button("πŸ†• New Container"):
                    st.session_state.show_new_container_form = True
                if st.session_state.show_new_container_form:
                    with st.sidebar.form("new_container_form"):
                        new_container_id = st.text_input("Container ID", value="aiml-container")
                        new_partition_key = st.text_input("Partition Key", value="/pk")
                        new_analytical = st.checkbox("Enable Analytical Store", value=True)
                        submitted = st.form_submit_button("Create Container")
                        if submitted:
                            analytical_ttl = -1 if new_analytical else None
                            new_container = create_new_container(
                                database,
                                new_container_id,
                                new_partition_key,
                                analytical_storage_ttl=analytical_ttl
                            )
                            if new_container:
                                st.success(f"Container '{new_container_id}' created.")
                                # Insert a default templated item into the new container
                                default_id = generate_unique_id()
                                default_item = {
                                    "id": default_id,
                                    "pk": default_id,
                                    "name": "Default Image Prompt",
                                    "prompt": "Enter your image prompt here",
                                    "timestamp": datetime.now().isoformat(),
                                    "type": "image_prompt"
                                }
                                insert_success, insert_message = insert_record(new_container, default_item)
                                if insert_success:
                                    st.info("Default templated item created in new container.")
                                else:
                                    st.error(f"Default item insertion error: {insert_message}")
                                st.session_state.show_new_container_form = False
                                st.session_state.new_container_created = new_container_id
                                st.rerun()
                
                # Update container list
                containers = get_containers(database)
                if "new_container_created" in st.session_state and st.session_state.new_container_created not in containers:
                    containers.append(st.session_state.new_container_created)
                selected_container = st.sidebar.selectbox("πŸ“ Container", containers)
                if selected_container != st.session_state.get("selected_container"):
                    st.session_state.selected_container = selected_container
                    st.session_state.selected_document_id = None
                    st.session_state.current_index = 0
                    st.rerun()
                if st.session_state.selected_container:
                    container = database.get_container_client(st.session_state.selected_container)
                    if st.sidebar.button("πŸ“¦ Export"):
                        download_link = archive_current_container(st.session_state.selected_database, st.session_state.selected_container, st.session_state.client)
                        if download_link.startswith('<a'):
                            st.markdown(download_link, unsafe_allow_html=True)
                        else:
                            st.error(download_link)
                    documents = get_documents(container)
                    total_docs = len(documents)
                    num_docs = st.slider("Docs", 1, 20, 1)
                    documents_to_display = documents[:num_docs] if total_docs > num_docs else documents
                    st.sidebar.info(f"Showing {len(documents_to_display)} docs")
                    # Document Viewer / Editor
                    view_options = ['Markdown', 'Code', 'Run AI', 'Clone', 'New']
                    selected_view = st.sidebar.selectbox("View", view_options, index=1)
                    if selected_view == 'Markdown':
                        st.markdown("#### πŸ“„ Markdown")
                        if documents:
                            doc = documents[st.session_state.current_index]
                            content = json.dumps(doc, indent=2)
                            st.markdown(f"```json\n{content}\n```")
                            col_prev, col_next = st.columns(2)
                            with col_prev:
                                if st.button("⬅️") and st.session_state.current_index > 0:
                                    st.session_state.current_index -= 1
                                    st.rerun()
                            with col_next:
                                if st.button("➑️") and st.session_state.current_index < total_docs - 1:
                                    st.session_state.current_index += 1
                                    st.rerun()
                    elif selected_view == 'Code':
                        st.markdown("#### πŸ’» Code Editor")
                        if documents:
                            doc = documents[st.session_state.current_index]
                            doc_str = st.text_area("Edit JSON", value=json.dumps(doc, indent=2), height=300, key=f'code_{st.session_state.current_index}')
                            col_prev, col_next = st.columns(2)
                            with col_prev:
                                if st.button("⬅️") and st.session_state.current_index > 0:
                                    st.session_state.current_index -= 1
                                    st.rerun()
                            with col_next:
                                if st.button("➑️") and st.session_state.current_index < total_docs - 1:
                                    st.session_state.current_index += 1
                                    st.rerun()
                            col_save, col_delete = st.columns(2)
                            with col_save:
                                if st.button("πŸ’Ύ Save", key=f'save_{st.session_state.current_index}'):
                                    try:
                                        updated_doc = json.loads(doc_str)
                                        container.upsert_item(body=updated_doc)
                                        st.success(f"Saved {updated_doc['id']}")
                                        st.rerun()
                                    except Exception as e:
                                        st.error(f"Save err: {str(e)}")
                            with col_delete:
                                if st.button("πŸ—‘οΈ Delete", key=f'delete_{st.session_state.current_index}'):
                                    try:
                                        current_doc = json.loads(doc_str)
                                        success, message = delete_record(container, current_doc)
                                        if success:
                                            st.success(message)
                                            st.rerun()
                                        else:
                                            st.error(message)
                                    except Exception as e:
                                        st.error(f"Delete err: {str(e)}")
                            if "delete_log" in st.session_state and st.session_state.delete_log:
                                st.subheader("Delete Log")
                                for log_entry in st.session_state.delete_log[-5:]:
                                    st.write(log_entry)
                    elif selected_view == 'Run AI':
                        st.markdown("#### πŸ€– Run AI (stub)")
                        st.info("AI functionality not implemented.")
                    elif selected_view == 'Clone':
                        st.markdown("#### πŸ“„ Clone")
                        if documents:
                            doc = documents[st.session_state.current_index]
                            st.markdown(f"Original ID: {doc.get('id', '')}")
                            new_id = st.text_input("New ID", value=generate_unique_id(), key='new_clone_id')
                            new_name = st.text_input("New Name", value=f"Clone_{new_id[:8]}", key='new_clone_name')
                            new_doc = {'id': new_id, 'pk': new_id, 'name': new_name, **{k: v for k, v in doc.items() if k not in ['id', 'name', 'pk', '_rid', '_self', '_etag', '_attachments', '_ts']}}
                            doc_str = st.text_area("Edit JSON", value=json.dumps(new_doc, indent=2), height=300, key='clone_preview')
                            col1, col2 = st.columns(2)
                            with col1:
                                if st.button("πŸ”„ Regenerate"):
                                    new_id = generate_unique_id()
                                    st.session_state.new_clone_id = new_id
                                    st.rerun()
                            with col2:
                                if st.button("πŸ’Ύ Save Clone"):
                                    try:
                                        final_doc = json.loads(doc_str)
                                        for field in ['_rid', '_self', '_etag', '_attachments', '_ts']:
                                            final_doc.pop(field, None)
                                        container.create_item(body=final_doc)
                                        st.success(f"Cloned {final_doc['id']}")
                                        st.rerun()
                                    except Exception as e:
                                        st.error(f"Clone err: {str(e)}")
                            col_prev, col_next = st.columns(2)
                            with col_prev:
                                if st.button("⬅️") and st.session_state.current_index > 0:
                                    st.session_state.current_index -= 1
                                    st.rerun()
                            with col_next:
                                if st.button("➑️") and st.session_state.current_index < total_docs - 1:
                                    st.session_state.current_index += 1
                                    st.rerun()
                    elif selected_view == 'New':
                        st.markdown("#### βž• New Doc")
                        if st.button("πŸ€– Auto-Gen"):
                            auto_doc = {
                                "id": generate_unique_id(),
                                "pk": generate_unique_id(),
                                "name": f"Auto {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}",
                                "content": "Auto-generated record.",
                                "timestamp": datetime.now().isoformat()
                            }
                            success, message = insert_record(container, auto_doc)
                            if success:
                                st.success(message)
                                st.rerun()
                            else:
                                st.error(message)
                        else:
                            new_id = st.text_input("ID", value=generate_unique_id(), key='new_id')
                            default_doc = {
                                "id": new_id,
                                "pk": new_id,
                                "name": "New Doc",
                                "content": "",
                                "timestamp": datetime.now().isoformat()
                            }
                            new_doc_str = st.text_area("JSON", value=json.dumps(default_doc, indent=2), height=300)
                            if st.button("βž• Create"):
                                try:
                                    cleaned = preprocess_text(new_doc_str)
                                    new_doc = json.loads(cleaned)
                                    new_doc['id'] = new_id
                                    new_doc['pk'] = new_id
                                    success, message = insert_record(container, new_doc)
                                    if success:
                                        st.success(f"Created {new_doc['id']}")
                                        st.rerun()
                                    else:
                                        st.error(message)
                                except Exception as e:
                                    st.error(f"Create err: {str(e)}")
                        st.subheader(f"πŸ“Š {st.session_state.selected_container}")
                        if documents_to_display:
                            df = pd.DataFrame(documents_to_display)
                            st.dataframe(df)
                        else:
                            st.info("No docs.")
                    
                    # GitHub Ops section
                    st.subheader("πŸ™ GitHub Ops")
                    github_token = os.environ.get("GITHUB")
                    source_repo = st.text_input("Source Repo URL", value="https://github.com/AaronCWacker/AIExamples-8-24-Streamlit")
                    new_repo_name = st.text_input("New Repo Name", value=f"Clone-{datetime.now().strftime('%Y%m%d_%H%M%S')}")
                    col_g1, col_g2 = st.columns(2)
                    with col_g1:
                        if st.button("πŸ“₯ Clone Repo"):
                            if github_token and source_repo:
                                try:
                                    local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
                                    download_github_repo(source_repo, local_path)
                                    zip_filename = f"{new_repo_name}.zip"
                                    create_zip_file(local_path, zip_filename[:-4])
                                    st.markdown(get_download_link(zip_filename), unsafe_allow_html=True)
                                    st.success("Cloned! πŸŽ‰")
                                except Exception as e:
                                    st.error(f"Clone err: {str(e)}")
                                finally:
                                    if os.path.exists(local_path):
                                        shutil.rmtree(local_path)
                                    if os.path.exists(zip_filename):
                                        os.remove(zip_filename)
                            else:
                                st.error("Missing token or URL πŸ”‘β“")
                    with col_g2:
                        if st.button("πŸ“€ Push Repo"):
                            if github_token and source_repo:
                                try:
                                    g = Github(github_token)
                                    new_repo = create_repo(g, new_repo_name)
                                    local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
                                    download_github_repo(source_repo, local_path)
                                    push_to_github(local_path, new_repo, github_token)
                                    st.success(f"Pushed to {new_repo.html_url} πŸš€")
                                except Exception as e:
                                    st.error(f"Push err: {str(e)}")
                                finally:
                                    if os.path.exists(local_path):
                                        shutil.rmtree(local_path)
                            else:
                                st.error("Missing token or URL πŸ”‘β“")
                    # Display AI Samples sidebar UI (processed from Python list)
                    display_ai_samples()
                    update_file_management_section()
        except exceptions.CosmosHttpResponseError as e:
            st.error(f"Cosmos error: {str(e)} 🚨")
        except Exception as e:
            st.error(f"Error: {str(e)} 😱")
    if st.session_state.logged_in and st.sidebar.button("πŸšͺ Logout"):
        st.markdown("#### πŸšͺ Logout")
        st.session_state.logged_in = False
        st.session_state.selected_records = []
        st.session_state.client = None
        st.session_state.selected_database = None
        st.session_state.selected_container = None
        st.session_state.selected_document_id = None
        st.session_state.current_index = 0
        st.rerun()

if __name__ == "__main__":
    main()