import gradio as gr
from datetime import datetime
from datasets import Dataset, load_dataset
from huggingface_hub import login, HfApi
import pandas as pd
import os
import time
import tempfile
import logging

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

HF_TOKEN = os.environ.get("HF_TOKEN")
if HF_TOKEN:
    login(token=HF_TOKEN)
    logger.info("Authenticated with Hugging Face")
else:
    logger.warning("HF_TOKEN not found - running without authentication")

DATASET_NAME = "build-small-hackathon/build-small-hackathon-registrations"
# Auto-backups land under the user namespace (not the org) so the org's dataset
# list isn't polluted with thousands of timestamped backup repos. The HF_TOKEN
# secret on the Space must have write access to BOTH the org dataset (above)
# and this user namespace.
BACKUP_DATASET_PREFIX = "ysharma/build-small-hackathon-registrations-auto-backup"
DISCORD_INVITE = "https://discord.gg/YHECTft87Z"
DISCORD_CHANNEL = "build-small-hackathon-official"


HEADER_HTML = """
<div class="bsh-banner">
    <h1>🪵 Build Small Hackathon</h1>
    <div class="tagline">Making AI Fun Again</div>
    <div class="meta">May 29 – June 8, 2026 · Online &amp; Global</div>
    <div class="placeholder">🗺️ event artwork being illustrated · placeholder for now</div>
</div>
"""

INFO_ROW_HTML = """
<div class="bsh-info-row">
    <div class="bsh-card">
        <div class="bsh-title">❋ Two Tracks</div>
        <div class="bsh-content">
            <div class="bsh-track">
                <span class="bsh-emoji">🏡</span>
                <span class="bsh-track-name">Backyard AI</span>
            </div>
            <div class="bsh-track-desc">Solve a real problem for someone you know</div>
            <div class="bsh-track">
                <span class="bsh-emoji">🍄</span>
                <span class="bsh-track-name">Thousand Token Wood</span>
            </div>
            <div class="bsh-track-desc">Build something delightful and whimsical</div>
        </div>
    </div>
    <div class="bsh-card">
        <div class="bsh-title">✦ Three Rules</div>
        <ol class="bsh-rules">
            <li>Models ≤ 32B parameters</li>
            <li>Built on Gradio + Spaces</li>
            <li>Demo video + social post</li>
        </ol>
    </div>
    <div class="bsh-card">
        <div class="bsh-title">🎁 Prizes &amp; Credits</div>
        <div class="bsh-content">
            <div class="bsh-soon"><em>Sponsor lineup, prize pool, and free API/compute credits announcing soon — sit tight, friend.</em></div>
            <div class="bsh-link">→ <a href="https://huggingface.co/build-small-hackathon" target="_blank">Read the chapter book</a></div>
        </div>
    </div>
</div>
"""

DATES_ROW_HTML = """
<div class="bsh-dates-row">
    <div class="bsh-dates">
        <div class="bsh-title">✦ Trail Map · Key Dates</div>
        <div class="bsh-dates-grid">
            <div>📅 <b>Reg closes:</b> Wed, May 27 · 23:59 UTC</div>
            <div>🎟️ <b>Credits:</b> Thu, May 28</div>
            <div>🚀 <b>Hack opens:</b> Fri, May 29</div>
            <div>🏁 <b>Submit by:</b> Mon, June 8</div>
        </div>
        <div class="bsh-warn">⛔ No registrations accepted once the event starts. Lock it in before May 27!</div>
    </div>
    <div class="bsh-counter">
        <div class="bsh-counter-title">🏕️ Hack opens in</div>
        <div class="bsh-counter-target">May 29, 2026 · 00:00 UTC</div>
        <div class="bsh-nums">
            <div class="bsh-unit"><span class="bsh-num" id="bsh-days">--</span><span class="bsh-lbl">Days</span></div>
            <div class="bsh-unit"><span class="bsh-num" id="bsh-hours">--</span><span class="bsh-lbl">Hrs</span></div>
            <div class="bsh-unit"><span class="bsh-num" id="bsh-mins">--</span><span class="bsh-lbl">Min</span></div>
            <div class="bsh-unit"><span class="bsh-num" id="bsh-secs">--</span><span class="bsh-lbl">Sec</span></div>
        </div>
    </div>
</div>
"""

DISCORD_RIBBON_HTML = f"""
<div class="bsh-discord">
    💬 Join the <a href="{DISCORD_INVITE}" target="_blank">Gradio Discord</a> · channel <code>{DISCORD_CHANNEL}</code> · office hours, AMAs, and support.
</div>
"""

COUNTDOWN_JS = """
() => {
    const targetDate = new Date(Date.UTC(2026, 4, 29, 0, 0, 0));
    function update() {
        const now = new Date();
        const diff = targetDate - now;
        let d, h, m, s;
        if (diff <= 0) {
            d = h = m = s = 0;
        } else {
            d = Math.floor(diff / 86400000);
            h = Math.floor((diff % 86400000) / 3600000);
            m = Math.floor((diff % 3600000) / 60000);
            s = Math.floor((diff % 60000) / 1000);
        }
        const set = (id, v) => {
            const el = document.getElementById(id);
            if (el) el.textContent = String(v).padStart(2, '0');
        };
        set('bsh-days', d);
        set('bsh-hours', h);
        set('bsh-mins', m);
        set('bsh-secs', s);
    }
    update();
    setInterval(update, 1000);
}
"""


def safe_add_to_dataset(registration_data, max_retries=5, retry_delay=3):
    """Append a new registration; refuse to write if existing rows can't be loaded (data-loss guard)."""
    try:
        logger.info("Starting new registration process")
        new_row = {
            "timestamp": registration_data["timestamp"],
            "full_name": registration_data["personal_info"]["full_name"],
            "email": registration_data["personal_info"]["email"],
            "hf_username": registration_data["personal_info"]["hf_username"],
            "gradio_usage": registration_data["personal_info"]["gradio_usage"],
            "track_interest": registration_data["participation"]["track_interest"],
            "previous_participation": str(registration_data["participation"]["previous_participation"]),
            "experience_level": registration_data["participation"]["experience_level"],
            "how_heard": registration_data["participation"]["how_heard"],
            "planned_small_model": registration_data["build_small"]["planned_small_model"] or "",
            "bonus_quests": str(registration_data["build_small"]["bonus_quests"]),
            "project_description": registration_data["additional"]["project_description"] or "",
        }

        existing_df = None
        load_successful = False

        for attempt in range(max_retries):
            logger.info(f"Loading attempt {attempt + 1}/{max_retries}")
            try:
                api = HfApi()
                files = api.list_repo_files(DATASET_NAME, repo_type="dataset")
                parquet_files = [f for f in files if f.endswith('.parquet') and 'train' in f]
                if parquet_files:
                    logger.info(f"Found parquet file: {parquet_files[0]}")
                    with tempfile.TemporaryDirectory() as temp_dir:
                        parquet_file = api.hf_hub_download(
                            repo_id=DATASET_NAME,
                            filename=parquet_files[0],
                            repo_type="dataset",
                            cache_dir=temp_dir,
                            force_download=True,
                        )
                        existing_df = pd.read_parquet(parquet_file)
                        logger.info(f"Successfully loaded {len(existing_df)} existing rows")
                        load_successful = True
                        break
                else:
                    logger.warning("No parquet files found")
            except Exception as load_error:
                logger.warning(f"Attempt {attempt + 1} failed: {str(load_error)[:100]}")
                if attempt < max_retries - 1:
                    logger.info(f"Waiting {retry_delay} seconds before retry...")
                    time.sleep(retry_delay)
                    continue

        if not load_successful or existing_df is None:
            logger.error("CRITICAL SAFETY ERROR: Could not load existing dataset after multiple attempts.")
            logger.error("REFUSING to proceed to prevent data loss!")
            return False, (
                "❌ Registration temporarily unavailable due to technical issues. "
                "Please try again in a few minutes. If the problem persists, contact support."
            )

        if len(existing_df) > 0:
            duplicate_check = existing_df[
                (existing_df['email'].str.lower() == new_row['email'].lower())
                | (existing_df['hf_username'].str.lower() == new_row['hf_username'].lower())
            ]
            if len(duplicate_check) > 0:
                logger.warning("Duplicate registration attempt detected")
                return False, "❌ Error: This email or Hugging Face username is already registered."

        combined_df = pd.concat([existing_df, pd.DataFrame([new_row])], ignore_index=True)
        logger.info(f"Combined data now has {len(combined_df)} rows (was {len(existing_df)})")

        backup_timestamp = int(time.time())
        try:
            updated_dataset = Dataset.from_pandas(combined_df)
            backup_name = f"{BACKUP_DATASET_PREFIX}-{backup_timestamp}"
            logger.info(f"Creating backup: {backup_name}")
            updated_dataset.push_to_hub(backup_name, private=True)
            logger.info("Pushing to main dataset...")
            updated_dataset.push_to_hub(DATASET_NAME, private=True)
            logger.info(f"Successfully saved registration. Total rows: {len(combined_df)}")
            time.sleep(2)
            try:
                api.list_repo_files(DATASET_NAME, repo_type="dataset")
                logger.info("Upload verification: Files updated successfully")
            except Exception:
                logger.warning("Could not verify upload (this may be normal)")
            return True, "Registration successful!"
        except Exception as upload_error:
            error_msg = str(upload_error).lower()
            if any(indicator in error_msg for indicator in ['rate limit', '429', 'too many requests']):
                logger.warning("Rate limit hit - registration system temporarily busy")
                return False, "⏳ Registration temporarily unavailable due to high server load. Please try again in 10–15 minutes."
            logger.error(f"Upload failed: {upload_error}")
            return False, f"❌ Registration failed during upload: {str(upload_error)}"
    except Exception as e:
        logger.error(f"Unexpected error in registration: {e}")
        import traceback
        traceback.print_exc()
        return False, f"❌ Registration failed: {str(e)}"


def verify_registration(email, hf_username):
    """Verify a registration by exact email + HF username match (case-insensitive)."""
    try:
        if not email or not email.strip():
            return "❌ Please enter your email address"
        if not hf_username or not hf_username.strip():
            return "❌ Please enter your Hugging Face username"

        try:
            dataset = load_dataset(DATASET_NAME, split="train")
            df = dataset.to_pandas()
            logger.info(f"Loaded dataset with {len(df)} registrations")
        except Exception as load_error:
            logger.error(f"Failed to load dataset: {load_error}")
            return "❌ Unable to verify registration at this time. Please try again later."

        if len(df) == 0:
            return "❌ No registration found with this email and Hugging Face username combination."

        email_lower = email.strip().lower()
        username_lower = hf_username.strip().lower()

        match = df[
            (df['email'].str.lower() == email_lower)
            & (df['hf_username'].str.lower() == username_lower)
        ]

        if len(match) == 0:
            email_exists = df[df['email'].str.lower() == email_lower]
            username_exists = df[df['hf_username'].str.lower() == username_lower]
            if len(email_exists) > 0 and len(username_exists) == 0:
                return "❌ Email found but Hugging Face username doesn't match. Please check your username."
            if len(username_exists) > 0 and len(email_exists) == 0:
                return "❌ Hugging Face username found but email doesn't match. Please check your email."
            return "❌ No registration found with this email and Hugging Face username combination."

        registration = match.iloc[0]
        try:
            timestamp = pd.to_datetime(registration['timestamp'])
            reg_date = timestamp.strftime("%B %d, %Y at %I:%M %p UTC")
        except Exception:
            reg_date = registration['timestamp']

        prev = registration['previous_participation']
        if isinstance(prev, str):
            prev = prev.strip("[]'\"").replace("'", "")

        quests = registration['bonus_quests'] if 'bonus_quests' in registration.index else ''
        if isinstance(quests, str):
            quests = quests.strip("[]'\"").replace("'", "")
        quests_str = quests if quests else "_None selected_"

        planned_model = registration['planned_small_model'] if 'planned_small_model' in registration.index else ''
        planned_model_str = planned_model if planned_model else "_Not specified_"

        result = f"""
## ✅ Registration Confirmed!

**Participant Details:**
- **Full Name:** {registration['full_name']}
- **Email:** {registration['email']}
- **Hugging Face Username:** {registration['hf_username']}
- **Registered On:** {reg_date}

**Hackathon Participation:**
- **Track Interest:** {registration['track_interest']}
- **Hackathon Experience:** {prev}
- **Experience Level:** {registration['experience_level']}
- **Gradio Usage:** {registration['gradio_usage']}
- **How You Heard:** {registration['how_heard']}

**Build Small Plans:**
- **Small Model You Plan to Use:** {planned_model_str}
- **Bonus Quests of Interest:** {quests_str}

**Project Idea:**
{registration['project_description'] if registration['project_description'] else '_No project description provided_'}

---
**Next Steps:**
- 🎟️ API & compute credits will be assigned on **Thu, May 28, 2026**
- 🚀 Hack window opens **Fri, May 29, 2026**
- 🏁 Submissions due **Mon, June 8, 2026**
- 💬 Join the Gradio Discord channel `{DISCORD_CHANNEL}`: {DISCORD_INVITE}
- 📧 Watch your email for important updates
"""
        logger.info(f"Verification successful for {email}")
        return result
    except Exception as e:
        logger.error(f"Error during verification: {e}")
        import traceback
        traceback.print_exc()
        return f"❌ An error occurred during verification: {str(e)}"


def submit_registration(full_name, email, hf_username, gradio_usage,
                        track_interest, previous_participation, experience_level, how_heard,
                        planned_small_model, bonus_quests,
                        acknowledgment, project_description):
    """Validate and submit a registration."""
    if not full_name or not full_name.strip():
        return "❌ Error: Please enter your full name"
    if not email or not email.strip():
        return "❌ Error: Please enter your email address"
    if not hf_username or not hf_username.strip():
        return "❌ Error: Please enter your Hugging Face username"
    if not gradio_usage:
        return "❌ Error: Please select how you're currently using Gradio"
    if not track_interest:
        return "❌ Error: Please select your preferred track"
    if not previous_participation:
        return "❌ Error: Please select at least one option for hackathon experience"
    if not experience_level:
        return "❌ Error: Please select your experience level"
    if not how_heard:
        return "❌ Error: Please select how you heard about this hackathon"
    if not acknowledgment:
        return "❌ Error: Please confirm your acknowledgment to participate"

    import re
    email_pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
    if not re.match(email_pattern, email.strip()):
        return "❌ Error: Please enter a valid email address"

    registration_data = {
        "timestamp": datetime.now().isoformat(),
        "personal_info": {
            "full_name": full_name.strip(),
            "email": email.strip().lower(),
            "hf_username": hf_username.strip(),
            "gradio_usage": gradio_usage,
        },
        "participation": {
            "track_interest": track_interest,
            "previous_participation": previous_participation,
            "experience_level": experience_level,
            "how_heard": how_heard,
        },
        "build_small": {
            "planned_small_model": planned_small_model.strip() if planned_small_model else None,
            "bonus_quests": bonus_quests or [],
        },
        "additional": {
            "project_description": project_description.strip() if project_description else None,
        },
    }

    success, message = safe_add_to_dataset(registration_data)
    if not success:
        return f"❌ Registration failed: {message}"

    return f"""✅ Registration Successful!

Thank you, **{full_name}**! Your spot is locked in.

🎟️ Credits assigned **Thu, May 28** · 🚀 Hack opens **Fri, May 29** · 🏁 Submissions due **Mon, Jun 8**.<br>
💬 Join the Gradio Discord channel `{DISCORD_CHANNEL}`: {DISCORD_INVITE}<br>
📧 Watch your email for credits and updates.

**See you in the woods! 🍄🪵**"""


def check_dataset_health():
    try:
        api = HfApi()
        files = api.list_repo_files(DATASET_NAME, repo_type="dataset")
        parquet_files = [f for f in files if f.endswith('.parquet')]
        if parquet_files:
            logger.info(f"Dataset health check passed - found {len(parquet_files)} parquet files")
            return True
        logger.warning("Dataset health check: No parquet files found (did you run seed_dataset.py?)")
        return False
    except Exception as e:
        logger.error(f"Dataset health check failed: {e}")
        return False


logger.info("Starting Build Small Hackathon Registration System")
logger.info(f"Dataset: {DATASET_NAME}")
if check_dataset_health():
    logger.info("System ready - dataset is healthy")
else:
    logger.warning("System starting with dataset health warnings")


custom_css = """
.gradio-container {
    font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
    /* Brand color tokens — light mode defaults */
    --bsh-card-bg: #fbf6e8;
    --bsh-card-border: rgba(139, 111, 71, 0.30);
    --bsh-text: #2a1d0a;
    --bsh-text-soft: #6b4423;
    --bsh-accent: #4a7c2e;
    --bsh-accent-deep: #2d5016;
    --bsh-banner-text: #f5ecd9;
    --bsh-warn: #8b2e25;
    --bsh-warn-bg: rgba(178, 60, 50, 0.10);
    --bsh-warn-border: rgba(178, 60, 50, 0.40);
    --bsh-counter-bg: linear-gradient(135deg, #2d5016 0%, #1f3a0f 100%);
    --bsh-counter-num: #f5ecd9;
    --bsh-counter-label: #c9b072;
    --bsh-banner-bg: linear-gradient(135deg, #2d5016 0%, #4a7c2e 50%, #6b9039 100%);
    --bsh-discord-bg: rgba(74, 124, 46, 0.08);
    --bsh-link: #4a7c2e;
}
.dark .gradio-container,
body.dark .gradio-container,
.gradio-container.dark {
    /* Brand color tokens — dark mode overrides */
    --bsh-card-bg: #1f1a12;
    --bsh-card-border: rgba(201, 176, 114, 0.35);
    --bsh-text: #ede1c3;
    --bsh-text-soft: #c9b072;
    --bsh-accent: #9bc466;
    --bsh-accent-deep: #6b9039;
    --bsh-banner-text: #f5ecd9;
    --bsh-warn: #ff9b8e;
    --bsh-warn-bg: rgba(255, 122, 110, 0.12);
    --bsh-warn-border: rgba(255, 122, 110, 0.40);
    --bsh-counter-bg: linear-gradient(135deg, #1a2e0d 0%, #0c1606 100%);
    --bsh-counter-num: #f5ecd9;
    --bsh-counter-label: #c9b072;
    --bsh-banner-bg: linear-gradient(135deg, #1a2e0d 0%, #2d5016 60%, #4a7c2e 100%);
    --bsh-discord-bg: rgba(155, 196, 102, 0.08);
    --bsh-link: #9bc466;
}

/* Banner */
.bsh-banner {
    background: var(--bsh-banner-bg);
    color: var(--bsh-banner-text);
    border-radius: 14px;
    padding: 20px 22px;
    margin: 0 0 12px 0;
    text-align: center;
    border: 1px solid var(--bsh-card-border);
    box-shadow: 0 2px 10px rgba(0, 0, 0, 0.12);
}
.bsh-banner h1 {
    margin: 0 0 4px 0 !important;
    font-size: 28px !important;
    font-weight: 800 !important;
    letter-spacing: -0.5px !important;
    color: var(--bsh-banner-text) !important;
    line-height: 1.15 !important;
}
.bsh-banner .tagline {
    font-size: 16px;
    font-style: italic;
    opacity: 0.92;
    margin-bottom: 4px;
}
.bsh-banner .meta {
    font-size: 14px;
    opacity: 0.85;
}
.bsh-banner .placeholder {
    margin-top: 12px;
    display: inline-block;
    background: rgba(245, 236, 217, 0.12);
    border: 1px dashed rgba(245, 236, 217, 0.40);
    border-radius: 6px;
    padding: 4px 12px;
    font-size: 11px;
    opacity: 0.80;
    letter-spacing: 0.3px;
}

/* Three-card info row */
.bsh-info-row {
    display: grid;
    grid-template-columns: 1fr 1fr 1fr;
    gap: 10px;
    margin-bottom: 12px;
}
.bsh-card {
    background: var(--bsh-card-bg);
    border: 1px solid var(--bsh-card-border);
    border-radius: 10px;
    padding: 12px 14px;
    color: var(--bsh-text);
}
.bsh-title {
    color: var(--bsh-text-soft);
    font-size: 11px;
    font-weight: 800;
    letter-spacing: 1.5px;
    text-transform: uppercase;
    margin-bottom: 8px;
}
.bsh-content {
    font-size: 13.5px;
    line-height: 1.55;
    color: var(--bsh-text);
}
.bsh-track {
    display: flex;
    align-items: baseline;
    gap: 8px;
    margin-top: 4px;
}
.bsh-emoji { font-size: 16px; line-height: 1; }
.bsh-track-name {
    font-weight: 700;
    color: var(--bsh-accent);
    font-size: 13.5px;
}
.bsh-track-desc {
    font-size: 12px;
    opacity: 0.82;
    color: var(--bsh-text);
    padding-left: 24px;
    margin-bottom: 4px;
    line-height: 1.4;
}
.bsh-rules {
    margin: 0 !important;
    padding-left: 18px !important;
    color: var(--bsh-text);
}
.bsh-rules li {
    font-size: 13.5px;
    line-height: 1.7;
    color: var(--bsh-text);
}
.bsh-soon {
    font-size: 13px;
    line-height: 1.55;
    color: var(--bsh-text);
    opacity: 0.92;
}
.bsh-link {
    margin-top: 6px;
    font-size: 12px;
}
.bsh-link a {
    color: var(--bsh-link);
    font-weight: 600;
    text-decoration: underline;
}

/* Dates + countdown row */
.bsh-dates-row {
    display: grid;
    grid-template-columns: 1.6fr 1fr;
    gap: 10px;
    margin-bottom: 14px;
}
.bsh-dates {
    background: var(--bsh-card-bg);
    border: 1px solid var(--bsh-card-border);
    border-radius: 10px;
    padding: 12px 14px;
    color: var(--bsh-text);
}
.bsh-dates-grid {
    display: grid;
    grid-template-columns: 1fr 1fr;
    gap: 6px 14px;
    font-size: 13px;
    color: var(--bsh-text);
}
.bsh-dates-grid b { color: var(--bsh-accent); font-weight: 700; }
.bsh-warn {
    margin-top: 10px;
    background: var(--bsh-warn-bg);
    border: 1px solid var(--bsh-warn-border);
    border-radius: 6px;
    padding: 6px 10px;
    color: var(--bsh-warn);
    font-size: 12px;
    font-weight: 600;
    text-align: center;
}
.bsh-counter {
    background: var(--bsh-counter-bg);
    border: 1px solid var(--bsh-card-border);
    border-radius: 10px;
    padding: 12px 14px;
    color: var(--bsh-counter-num);
    text-align: center;
    display: flex;
    flex-direction: column;
    justify-content: center;
}
.bsh-counter-title {
    color: var(--bsh-counter-num);
    font-size: 11px;
    letter-spacing: 1.5px;
    font-weight: 800;
    text-transform: uppercase;
    margin-bottom: 2px;
}
.bsh-counter-target {
    color: var(--bsh-counter-label);
    font-size: 11px;
    font-style: italic;
    margin-bottom: 8px;
    opacity: 0.85;
}
.bsh-nums {
    display: grid;
    grid-template-columns: 1fr 1fr 1fr 1fr;
    gap: 4px;
}
.bsh-unit {
    display: flex;
    flex-direction: column;
    align-items: center;
}
.bsh-num {
    font-family: 'Courier New', monospace;
    font-size: 22px;
    font-weight: 700;
    color: var(--bsh-counter-num);
    line-height: 1;
}
.bsh-lbl {
    font-size: 9px;
    letter-spacing: 1px;
    color: var(--bsh-counter-label);
    margin-top: 4px;
    text-transform: uppercase;
}

/* Discord ribbon */
.bsh-discord {
    margin-top: 14px;
    background: var(--bsh-discord-bg);
    border: 1px solid var(--bsh-card-border);
    border-radius: 8px;
    padding: 10px 14px;
    text-align: center;
    color: var(--bsh-text);
    font-size: 13px;
}
.bsh-discord a {
    color: var(--bsh-link);
    font-weight: 700;
    text-decoration: underline;
}
.bsh-discord code {
    background: var(--bsh-discord-bg);
    border: 1px solid var(--bsh-card-border);
    padding: 1px 6px;
    border-radius: 4px;
    font-size: 11.5px;
    color: var(--bsh-text);
}

/* Buttons */
#submit-btn {
    background: linear-gradient(135deg, #4a7c2e 0%, #2d5016 100%) !important;
    border: 1px solid #6b4423 !important;
    color: #f5ecd9 !important;
    font-weight: 700 !important;
    font-size: 16px !important;
    padding: 12px 24px !important;
    border-radius: 10px !important;
    box-shadow: 0 3px 10px rgba(74, 49, 16, 0.18) !important;
    transition: all 0.25s ease !important;
}
#submit-btn:hover {
    transform: translateY(-1px) !important;
    box-shadow: 0 5px 14px rgba(74, 49, 16, 0.28) !important;
    background: linear-gradient(135deg, #5a8c3e 0%, #3d6020 100%) !important;
}
#verify-btn {
    background: #6b4423 !important;
    border: 1px solid #c9b072 !important;
    color: #f5ecd9 !important;
    font-weight: 700 !important;
    font-size: 14px !important;
    padding: 10px 20px !important;
    border-radius: 8px !important;
    transition: all 0.25s ease !important;
}
#verify-btn:hover {
    transform: translateY(-1px) !important;
    background: #7d5430 !important;
}

/* Responsive */
@media (max-width: 760px) {
    .bsh-info-row { grid-template-columns: 1fr; }
    .bsh-dates-row { grid-template-columns: 1fr; }
    .bsh-banner h1 { font-size: 24px !important; }
}
"""


with gr.Blocks(
    title="Build Small Hackathon — Registration",
    css=custom_css,
    theme=gr.themes.Soft(primary_hue="green", secondary_hue="amber", neutral_hue="stone"),
) as demo:

    gr.HTML(HEADER_HTML)
    gr.HTML(INFO_ROW_HTML)
    gr.HTML(DATES_ROW_HTML)

    with gr.Tabs():
        with gr.Tab("📝 Register"):
            with gr.Row():
                with gr.Column():
                    gr.Markdown("### ❋ 1. Personal Information")
                    full_name = gr.Textbox(
                        label="Full Name *",
                        placeholder="Your full name as you'd like it on certificates",
                        max_lines=1,
                    )
                    email = gr.Textbox(
                        label="Email Address *",
                        placeholder="Primary contact email — we'll send updates and credits info here",
                        max_lines=1,
                    )
                    hf_username = gr.Textbox(
                        label="Hugging Face Username *",
                        placeholder="Required for org access and submissions",
                        max_lines=1,
                    )
                    gradio_usage = gr.Radio(
                        label="How are you currently using Gradio? *",
                        choices=[
                            "Professional work — my company uses Gradio",
                            "Personal projects — building side projects",
                            "Academic/Research — university or research work",
                            "Learning — new to Gradio, want to learn",
                            "Not using yet — interested to start",
                        ],
                        info="Helps us understand the community better",
                    )

                with gr.Column():
                    gr.Markdown("### ❋ 2. Hackathon Participation")
                    track_interest = gr.Radio(
                        label="Which track interests you most? *",
                        choices=[
                            "🏡 Backyard AI",
                            "🍄 An Adventure in Thousand Token Wood",
                            "Both",
                            "Undecided / Not sure yet",
                        ],
                    )
                    previous_participation = gr.CheckboxGroup(
                        label="Hackathon experience (select all that apply) *",
                        choices=[
                            "MCP 1st Birthday",
                            "Agents & MCP Hackathon",
                            "Other AI hackathons",
                            "First timer",
                        ],
                    )
                    experience_level = gr.Radio(
                        label="Your experience with AI/Agents development *",
                        choices=[
                            "Beginner — new to AI development",
                            "Intermediate — some AI projects",
                            "Advanced — regular AI developer",
                            "Expert — professional AI engineer",
                        ],
                    )
                    how_heard = gr.Dropdown(
                        label="How did you hear about this hackathon? *",
                        choices=[
                            "Hugging Face email/newsletter",
                            "Build Small org page",
                            "Twitter/X",
                            "LinkedIn",
                            "Gradio Discord",
                            "From a colleague/friend",
                            "YouTube",
                            "Reddit",
                            "Sponsor announcement",
                            "Previous Gradio hackathon",
                            "Other",
                        ],
                    )

            with gr.Row():
                with gr.Column():
                    gr.Markdown("### ❋ 3. Build Small Specifics")
                    planned_small_model = gr.Textbox(
                        label="Which small model are you planning to use? (optional)",
                        placeholder="e.g. Llama-3.2-3B, Qwen2.5-7B, gemma-2-2b-it, SmolLM-1.7B...",
                        info="Reminder: ≤ 32B parameters. Leave blank if you haven't decided.",
                        max_lines=1,
                    )
                    bonus_quests = gr.CheckboxGroup(
                        label="Which bonus quests / merit badges interest you? (optional)",
                        choices=[
                            "🔌 Off the Grid — no cloud APIs",
                            "🎯 Well-Tuned — use a fine-tuned published model",
                            "🎨 Off-Brand — custom Gradio frontend",
                            "🦙 Llama Champion — use llama.cpp runtime",
                            "📡 Sharing is Caring — share an agent trace",
                            "📓 Field Notes — write a blog post / report",
                        ],
                        info="Pick as many as you'd like. Just signal for us — you can change your mind during the event.",
                    )

                with gr.Column():
                    gr.Markdown("### ❋ 4. Project Idea (optional)")
                    project_description = gr.Textbox(
                        label="What are you most excited to build?",
                        placeholder="A neighbor's recipe-translator? A whimsical mushroom-identifier? Tell us in a sentence or two.",
                        lines=4,
                    )

                    gr.Markdown("### ❋ 5. Acknowledgment")
                    acknowledgment = gr.Checkbox(
                        label="I'm in. *",
                        info=(
                            "I commit to actively participate, build with a model ≤ 32B parameters, "
                            "host on a Gradio Hugging Face Space, and submit a project (with demo video and social post) "
                            "by Mon, June 8, 2026. I understand that any API/compute credits provided are intended for use on my "
                            "hackathon project during the event period."
                        ),
                    )

            submit_btn = gr.Button(
                "🪵 Register for the Build Small Hackathon",
                variant="primary",
                size="lg",
                elem_id="submit-btn",
            )
            output = gr.Markdown()

            def handle_registration_with_state(*args):
                try:
                    result = submit_registration(*args)
                    return result, gr.Button(
                        "🪵 Register for the Build Small Hackathon",
                        interactive=True,
                        variant="primary",
                        elem_id="submit-btn",
                    )
                except Exception as e:
                    logger.error(f"Registration handling error: {e}")
                    return f"❌ An unexpected error occurred: {str(e)}", gr.Button(
                        "🪵 Register for the Build Small Hackathon",
                        interactive=True,
                        variant="primary",
                        elem_id="submit-btn",
                    )

            submit_btn.click(
                fn=lambda *args: (gr.Button("⏳ Processing registration...", interactive=False, variant="secondary"), ""),
                inputs=[
                    full_name, email, hf_username, gradio_usage,
                    track_interest, previous_participation, experience_level, how_heard,
                    planned_small_model, bonus_quests,
                    acknowledgment, project_description,
                ],
                outputs=[submit_btn, output],
                queue=False,
            ).then(
                fn=handle_registration_with_state,
                inputs=[
                    full_name, email, hf_username, gradio_usage,
                    track_interest, previous_participation, experience_level, how_heard,
                    planned_small_model, bonus_quests,
                    acknowledgment, project_description,
                ],
                outputs=[output, submit_btn],
                queue=True,
            )

        with gr.Tab("🔍 Verify Registration"):
            gr.Markdown("""
            ### Check Your Registration Status
            Enter your email address and Hugging Face username to verify your registration and view your details. Both must match exactly (case-insensitive) for security purposes.
            """)
            with gr.Row():
                with gr.Column():
                    verify_email = gr.Textbox(
                        label="Email Address",
                        placeholder="Enter your registered email",
                        max_lines=1,
                    )
                    verify_hf_username = gr.Textbox(
                        label="Hugging Face Username",
                        placeholder="Enter your registered HF username",
                        max_lines=1,
                    )
                    verify_btn = gr.Button(
                        "🔍 Check Registration Status",
                        variant="primary",
                        size="lg",
                        elem_id="verify-btn",
                    )
                with gr.Column():
                    gr.Markdown(f"""
                    **Need Help?**
                    - Use the **exact** email and username you registered with
                    - Both fields are case-insensitive but must match
                    - Registration is open until **Wed, May 27, 2026 · 23:59 UTC** — once it closes, no new entries can be added

                    **Support:**
                    - Discord: [{DISCORD_INVITE}]({DISCORD_INVITE}) (channel `{DISCORD_CHANNEL}`)
                    - Email: gradio-team@huggingface.co
                    """)
            verify_output = gr.Markdown()
            verify_btn.click(
                fn=verify_registration,
                inputs=[verify_email, verify_hf_username],
                outputs=verify_output,
            )

    gr.HTML(DISCORD_RIBBON_HTML)

    gr.Markdown(f"""
    <div style="text-align: center; font-size: 12px; opacity: 0.75; margin-top: 8px;">
    ✦ Questions? Email gradio-team@huggingface.co ✦
    </div>
    """)

    # Hook up the countdown JS — runs once on page load, then ticks every second
    demo.load(fn=lambda: None, inputs=None, outputs=None, js=COUNTDOWN_JS)


if __name__ == "__main__":
    demo.launch(allowed_paths=["."])