storage.py

"""Storage layer - S3 uploads and SQLite metadata."""
from __future__ import annotations

import os
import json
import sqlite3
import boto3
from datetime import datetime
from pathlib import Path
from typing import Optional, List, Dict, Any
from contextlib import contextmanager

import config


# === SQLite Metadata ===

def get_db_path() -> Path:
    """Get path to metadata DB."""
    db_dir = Path(config.DATA_DIR)
    db_dir.mkdir(parents=True, exist_ok=True)
    return db_dir / "images.db"


def init_db() -> None:
    """Initialize the metadata database."""
    db_path = get_db_path()
    conn = sqlite3.connect(db_path)

    # Image refs table - unified reference to images in S3
    conn.execute("""
        CREATE TABLE IF NOT EXISTS image_refs (
            id INTEGER PRIMARY KEY AUTOINCREMENT,
            s3_path TEXT NOT NULL UNIQUE,
            image_hash TEXT,
            width INTEGER,
            height INTEGER,
            content_type TEXT DEFAULT 'image/jpeg',
            created_at TEXT NOT NULL
        )
    """)

    conn.execute("""
        CREATE TABLE IF NOT EXISTS images (
            id TEXT PRIMARY KEY,
            source TEXT NOT NULL,
            source_id TEXT,
            category TEXT NOT NULL,
            query TEXT,

            -- Original image info
            original_url TEXT,
            photographer TEXT,
            photographer_url TEXT,
            alt_text TEXT,
            caption TEXT,  -- Original caption/description from source
            original_width INTEGER,
            original_height INTEGER,

            -- Pipeline status
            status TEXT DEFAULT 'raw',  -- raw, processed, validated, rejected, generated
            downloaded_at TEXT,
            processed_at TEXT,
            validated_at TEXT,

            -- Validation results
            valid BOOLEAN,
            validation_result TEXT,  -- JSON blob
            rejection_reason TEXT,

            -- Extra metadata
            extra TEXT,  -- JSON blob for source-specific data

            -- Reference to image_refs table (links to S3 path and hash)
            image_ref_id INTEGER REFERENCES image_refs(id),

            -- Group for train/test split (0, 1, 2, etc.)
            "group" INTEGER DEFAULT 0
        )
    """)
    # Table for multiple generated versions per base image
    conn.execute("""
        CREATE TABLE IF NOT EXISTS generated_images (
            id INTEGER PRIMARY KEY AUTOINCREMENT,
            base_image_id TEXT NOT NULL,
            generator TEXT NOT NULL,
            model TEXT NOT NULL,
            prompt TEXT,
            created_at TEXT NOT NULL,
            image_ref_id INTEGER REFERENCES image_refs(id),
            FOREIGN KEY (base_image_id) REFERENCES images(id),
            UNIQUE(base_image_id, generator, model)
        )
    """)
    # Table for AI detection results
    conn.execute("""
        CREATE TABLE IF NOT EXISTS detection_results (
            id INTEGER PRIMARY KEY AUTOINCREMENT,
            image_ref_id INTEGER REFERENCES image_refs(id) NOT NULL,
            detector TEXT NOT NULL,
            model TEXT,
            ai_score REAL NOT NULL,
            raw_response TEXT,  -- JSON blob
            detected_at TEXT NOT NULL,
            UNIQUE(image_ref_id, detector)
        )
    """)
    # Table for image prompts (generated via Gemini image understanding)
    conn.execute("""
        CREATE TABLE IF NOT EXISTS image_prompts (
            id INTEGER PRIMARY KEY AUTOINCREMENT,
            image_id TEXT NOT NULL,
            prompt TEXT NOT NULL,
            model TEXT NOT NULL,
            created_at TEXT NOT NULL,
            FOREIGN KEY (image_id) REFERENCES images(id),
            UNIQUE(image_id, model)
        )
    """)
    conn.execute("CREATE INDEX IF NOT EXISTS idx_category ON images(category)")
    conn.execute("CREATE INDEX IF NOT EXISTS idx_source ON images(source)")
    conn.execute("CREATE INDEX IF NOT EXISTS idx_status ON images(status)")
    conn.execute("CREATE INDEX IF NOT EXISTS idx_gen_base ON generated_images(base_image_id)")
    conn.execute("CREATE INDEX IF NOT EXISTS idx_gen_generator ON generated_images(generator, model)")
    conn.execute("CREATE INDEX IF NOT EXISTS idx_det_detector ON detection_results(detector)")
    conn.execute("CREATE INDEX IF NOT EXISTS idx_det_ref ON detection_results(image_ref_id)")
    conn.execute("CREATE INDEX IF NOT EXISTS idx_prompt_image ON image_prompts(image_id)")
    conn.execute("CREATE UNIQUE INDEX IF NOT EXISTS idx_image_refs_hash ON image_refs(image_hash) WHERE image_hash IS NOT NULL AND image_hash != 'MISSING'")
    conn.execute("CREATE INDEX IF NOT EXISTS idx_image_refs_s3 ON image_refs(s3_path)")

    # Migrations for existing databases
    migrations = [
        ("images", "caption", "ALTER TABLE images ADD COLUMN caption TEXT"),
        ("images", "group", "ALTER TABLE images ADD COLUMN \"group\" INTEGER DEFAULT 0"),
        ("images", "image_ref_id", "ALTER TABLE images ADD COLUMN image_ref_id INTEGER REFERENCES image_refs(id)"),
        ("generated_images", "image_ref_id", "ALTER TABLE generated_images ADD COLUMN image_ref_id INTEGER REFERENCES image_refs(id)"),
        ("detection_results", "image_ref_id", "ALTER TABLE detection_results ADD COLUMN image_ref_id INTEGER REFERENCES image_refs(id)"),
        ("detection_results", "metadata", "ALTER TABLE detection_results ADD COLUMN metadata TEXT"),
    ]
    for table, column, sql in migrations:
        try:
            conn.execute(sql)
        except sqlite3.OperationalError:
            pass  # Column already exists

    conn.commit()
    conn.close()


@contextmanager
def get_db():
    """Context manager for database connection."""
    init_db()
    conn = sqlite3.connect(get_db_path())
    conn.row_factory = sqlite3.Row
    try:
        yield conn
        conn.commit()
    finally:
        conn.close()


def insert_image(image_data: Dict[str, Any]) -> None:
    """Insert or update an image record.

    If s3_processed_path is provided, creates an image_ref and links it.
    """
    s3_path = image_data.get("s3_processed_path")
    image_hash = image_data.get("image_hash")
    width = image_data.get("width")
    height = image_data.get("height")

    # Create image_ref if we have an S3 path
    image_ref_id = None
    if s3_path:
        image_ref_id = insert_image_ref(
            s3_path=s3_path,
            image_hash=image_hash,
            width=width,
            height=height,
            content_type="image/jpeg",
        )

    with get_db() as conn:
        conn.execute("""
            INSERT OR REPLACE INTO images (
                id, source, source_id, category, query,
                original_url, photographer, photographer_url, alt_text, caption,
                original_width, original_height,
                status, downloaded_at, extra, image_ref_id
            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
        """, (
            image_data["id"],
            image_data["source"],
            image_data.get("source_id"),
            image_data["category"],
            image_data.get("query"),
            image_data.get("original_url"),
            image_data.get("photographer"),
            image_data.get("photographer_url"),
            image_data.get("alt"),
            image_data.get("caption"),
            width,
            height,
            image_data.get("status", "raw"),
            image_data.get("downloaded_at", datetime.now().isoformat()),
            json.dumps(image_data.get("extra", {})),
            image_ref_id,
        ))


def update_image_status(image_id: str, status: str, **kwargs) -> None:
    """Update image status and optional fields."""
    with get_db() as conn:
        updates = ["status = ?"]
        values = [status]

        for key, value in kwargs.items():
            if key == "validation_result":
                value = json.dumps(value)
            updates.append(f"{key} = ?")
            values.append(value)

        values.append(image_id)
        conn.execute(
            f"UPDATE images SET {', '.join(updates)} WHERE id = ?",
            values
        )


def get_images(
    source: str = None,
    category: str = None,
    status: str = None,
    with_s3_path: bool = False,
) -> List[Dict]:
    """Query images with optional filters.

    Args:
        source: Filter by source (e.g., 'amazon_reviews', 'pixabay')
        category: Filter by category
        status: Filter by status
        with_s3_path: If True, join with image_refs to include s3_path as s3_processed_path
    """
    with get_db() as conn:
        if with_s3_path:
            query = """
                SELECT i.*, r.s3_path as s3_processed_path
                FROM images i
                LEFT JOIN image_refs r ON i.image_ref_id = r.id
                WHERE 1=1
            """
        else:
            query = "SELECT * FROM images WHERE 1=1"
        params = []

        if source:
            query += " AND i.source = ?" if with_s3_path else " AND source = ?"
            params.append(source)
        if category:
            query += " AND i.category = ?" if with_s3_path else " AND category = ?"
            params.append(category)
        if status:
            query += " AND i.status = ?" if with_s3_path else " AND status = ?"
            params.append(status)

        query += " ORDER BY i.downloaded_at DESC" if with_s3_path else " ORDER BY downloaded_at DESC"

        rows = conn.execute(query, params).fetchall()
        return [dict(row) for row in rows]


def get_image(image_id: str) -> Optional[Dict]:
    """Get a single image by ID, including s3_path from image_refs."""
    with get_db() as conn:
        row = conn.execute(
            """SELECT i.*, r.s3_path as s3_processed_path, r.image_hash, r.width, r.height
               FROM images i
               LEFT JOIN image_refs r ON i.image_ref_id = r.id
               WHERE i.id = ?""",
            (image_id,)
        ).fetchone()
        return dict(row) if row else None


def get_image_by_hash(image_hash: str) -> Optional[Dict]:
    """Get an image by its hash (for deduplication).

    Looks up the hash in image_refs and returns the linked image.
    """
    with get_db() as conn:
        row = conn.execute(
            """SELECT i.*, r.s3_path as s3_processed_path, r.image_hash
               FROM images i
               JOIN image_refs r ON i.image_ref_id = r.id
               WHERE r.image_hash = ?""",
            (image_hash,)
        ).fetchone()
        return dict(row) if row else None


def export_to_json(output_path: str = None) -> str:
    """Export all images to JSON for merging."""
    images = get_images()
    output_path = output_path or "images_export.json"
    with open(output_path, "w") as f:
        json.dump(images, f, indent=2)
    return output_path


def import_from_json(input_path: str) -> int:
    """Import images from JSON export."""
    with open(input_path) as f:
        images = json.load(f)

    count = 0
    for img in images:
        insert_image(img)
        count += 1
    return count


def get_stats() -> Dict[str, int]:
    """Get counts by status."""
    with get_db() as conn:
        rows = conn.execute("""
            SELECT status, COUNT(*) as count
            FROM images
            GROUP BY status
        """).fetchall()
        return {row["status"]: row["count"] for row in rows}


# === Image Refs ===

def normalize_s3_path(s3_path: str) -> str:
    """Normalize S3 path to consistent format: s3://bucket/key"""
    if s3_path.startswith("s3://"):
        return s3_path
    key = s3_path.lstrip("/")
    if key.startswith("data/"):
        key = key[5:]
    return f"s3://{config.S3_BUCKET}/{key}"


def insert_image_ref(
    s3_path: str,
    image_hash: str = None,
    width: int = None,
    height: int = None,
    content_type: str = "image/jpeg",
) -> int:
    """Insert an image reference. Returns the id."""
    s3_path = normalize_s3_path(s3_path)
    with get_db() as conn:
        try:
            cursor = conn.execute(
                """INSERT INTO image_refs (s3_path, image_hash, width, height, content_type, created_at)
                   VALUES (?, ?, ?, ?, ?, ?)""",
                (s3_path, image_hash, width, height, content_type, datetime.now().isoformat())
            )
            return cursor.lastrowid
        except sqlite3.IntegrityError:
            # Already exists, return existing id
            row = conn.execute("SELECT id FROM image_refs WHERE s3_path = ?", (s3_path,)).fetchone()
            return row["id"] if row else None


def get_image_ref(ref_id: int) -> Optional[Dict]:
    """Get an image reference by id."""
    with get_db() as conn:
        row = conn.execute("SELECT * FROM image_refs WHERE id = ?", (ref_id,)).fetchone()
        return dict(row) if row else None


def get_image_ref_by_s3_path(s3_path: str) -> Optional[Dict]:
    """Get an image reference by S3 path."""
    s3_path = normalize_s3_path(s3_path)
    with get_db() as conn:
        row = conn.execute("SELECT * FROM image_refs WHERE s3_path = ?", (s3_path,)).fetchone()
        return dict(row) if row else None


def update_image_ref(ref_id: int, **kwargs) -> None:
    """Update fields on an image reference."""
    if not kwargs:
        return
    with get_db() as conn:
        updates = []
        values = []
        for key, value in kwargs.items():
            updates.append(f"{key} = ?")
            values.append(value)
        values.append(ref_id)
        conn.execute(f"UPDATE image_refs SET {', '.join(updates)} WHERE id = ?", values)


# === Group Assignment ===

def set_group(image_id: str, group: int) -> None:
    """Set the group for a base image (0, 1, 2, etc.)."""
    with get_db() as conn:
        conn.execute('UPDATE images SET "group" = ? WHERE id = ?', (group, image_id))


def get_images_by_group(group: int, category: str = None) -> List[Dict]:
    """Get images in a specific group."""
    with get_db() as conn:
        query = 'SELECT * FROM images WHERE "group" = ?'
        params = [group]
        if category:
            query += " AND category = ?"
            params.append(category)
        rows = conn.execute(query, params).fetchall()
        return [dict(row) for row in rows]


# === S3 Uploads ===

_s3_client = None

def get_s3_client():
    """Get or create S3 client using default AWS credential chain."""
    global _s3_client
    if _s3_client is None:
        # Use default credential chain (env vars, ~/.aws/credentials, IAM role, etc.)
        _s3_client = boto3.client("s3", region_name=config.S3_REGION)
    return _s3_client


def upload_to_s3(local_path: str, s3_key: str) -> str:
    """Upload file to S3, return full S3 path."""
    client = get_s3_client()
    bucket = config.S3_BUCKET

    client.upload_file(local_path, bucket, s3_key)
    return f"s3://{bucket}/{s3_key}"


def download_from_s3(s3_key: str, local_path: str) -> None:
    """Download file from S3."""
    client = get_s3_client()
    bucket = config.S3_BUCKET

    Path(local_path).parent.mkdir(parents=True, exist_ok=True)
    client.download_file(bucket, s3_key, local_path)


def s3_key_for_processed(category: str, source: str, image_id: str, ext: str = ".jpg") -> str:
    """Generate S3 key for processed image."""
    return f"processed/{category}/{source}/{image_id}{ext}"


def s3_key_for_generated(category: str, method: str, base_id: str, variant: str, ext: str = ".jpg") -> str:
    """Generate S3 key for generated image."""
    return f"generated/{category}/{method}/{base_id}_{variant}{ext}"


def get_image_by_id(image_id: str) -> Optional[Dict]:
    """Get a single image by ID."""
    return get_image(image_id)


def get_validated_images(category: str = None, s3_only: bool = True) -> List[Dict]:
    """Get all validated images (valid=1), optionally filtered by category.

    Args:
        category: Filter by category
        s3_only: Only return images with image_ref_id set (default True)

    Returns images joined with their image_ref for s3_path access.
    """
    with get_db() as conn:
        query = """
            SELECT i.*, r.s3_path as s3_processed_path, r.image_hash
            FROM images i
            LEFT JOIN image_refs r ON i.image_ref_id = r.id
            WHERE i.valid = 1
        """
        params = []

        if category:
            query += " AND i.category = ?"
            params.append(category)

        if s3_only:
            query += " AND i.image_ref_id IS NOT NULL"

        query += " ORDER BY i.downloaded_at"

        rows = conn.execute(query, params).fetchall()
        return [dict(row) for row in rows]


def update_image(image_id: str, **kwargs) -> None:
    """Update specific fields on an image record."""
    if not kwargs:
        return

    with get_db() as conn:
        updates = []
        values = []

        for key, value in kwargs.items():
            updates.append(f"{key} = ?")
            values.append(value)

        values.append(image_id)
        conn.execute(
            f"UPDATE images SET {', '.join(updates)} WHERE id = ?",
            values
        )


def insert_generated_image(
    base_image_id: str,
    generator: str,
    model: str,
    s3_path: str,
    prompt: str = None,
    image_hash: str = None,
) -> bool:
    """Insert a generated image record. Returns True if inserted, False if already exists.

    Also creates an image_ref entry for the generated image.
    """
    s3_path_normalized = normalize_s3_path(s3_path)
    now = datetime.now().isoformat()

    with get_db() as conn:
        try:
            # Create image_ref entry first
            cursor = conn.execute(
                """INSERT INTO image_refs (s3_path, image_hash, content_type, created_at)
                   VALUES (?, ?, 'image/png', ?)""",
                (s3_path_normalized, image_hash, now)
            )
            ref_id = cursor.lastrowid
        except sqlite3.IntegrityError:
            # Image ref already exists, get its id
            row = conn.execute("SELECT id FROM image_refs WHERE s3_path = ?", (s3_path_normalized,)).fetchone()
            ref_id = row["id"] if row else None

        try:
            conn.execute(
                """INSERT INTO generated_images (base_image_id, generator, model, prompt, created_at, image_ref_id)
                   VALUES (?, ?, ?, ?, ?, ?)""",
                (base_image_id, generator, model, prompt, now, ref_id)
            )
            return True
        except sqlite3.IntegrityError:
            # Already exists (UNIQUE constraint)
            return False


def get_generated_images(base_image_id: str = None, generator: str = None, model: str = None) -> List[Dict]:
    """Get generated images with optional filters.

    Returns generated images joined with their image_ref for s3_path access.
    """
    with get_db() as conn:
        query = """
            SELECT g.*, r.s3_path
            FROM generated_images g
            LEFT JOIN image_refs r ON g.image_ref_id = r.id
            WHERE 1=1
        """
        params = []

        if base_image_id:
            query += " AND g.base_image_id = ?"
            params.append(base_image_id)
        if generator:
            query += " AND g.generator = ?"
            params.append(generator)
        if model:
            query += " AND g.model = ?"
            params.append(model)

        query += " ORDER BY g.created_at DESC"
        rows = conn.execute(query, params).fetchall()
        return [dict(row) for row in rows]


def has_generated_version(base_image_id: str, generator: str, model: str) -> bool:
    """Check if a base image already has a generated version for this generator/model."""
    with get_db() as conn:
        row = conn.execute(
            "SELECT 1 FROM generated_images WHERE base_image_id = ? AND generator = ? AND model = ?",
            (base_image_id, generator, model)
        ).fetchone()
        return row is not None


def get_images_without_generation(generator: str, model: str, category = None, s3_only: bool = True, group: int = None) -> List[Dict]:
    """Get validated images that don't have a generated version for this generator/model.

    Args:
        category: Single category string or list of categories

    Returns images joined with their image_ref for s3_path access.
    """
    with get_db() as conn:
        query = """
            SELECT i.*, r.s3_path as s3_processed_path, r.image_hash
            FROM images i
            LEFT JOIN image_refs r ON i.image_ref_id = r.id
            LEFT JOIN generated_images g ON i.id = g.base_image_id AND g.generator = ? AND g.model = ?
            WHERE i.valid = 1 AND g.id IS NULL
        """
        params = [generator, model]

        if category:
            if isinstance(category, list):
                placeholders = ",".join("?" * len(category))
                query += f" AND i.category IN ({placeholders})"
                params.extend(category)
            else:
                query += " AND i.category = ?"
                params.append(category)

        if s3_only:
            query += " AND i.image_ref_id IS NOT NULL"

        if group is not None:
            query += ' AND i."group" = ?'
            params.append(group)

        query += " ORDER BY i.downloaded_at"
        rows = conn.execute(query, params).fetchall()
        return [dict(row) for row in rows]


def insert_detection_result(
    image_ref_id: int,
    detector: str,
    ai_score: float,
    raw_response: dict = None,
    model: str = None,
    metadata: dict = None,
) -> bool:
    """Insert a detection result. Returns True if inserted, False if already exists.

    Args:
        image_ref_id: The image reference ID (required)
        detector: Name of the detector (e.g., 'hive', 'sightengine')
        ai_score: AI probability score (0-1)
        raw_response: Raw API response dict
        model: Optional model name used by the detector
        metadata: Optional metadata dict (e.g., rescale_factor)
    """
    if image_ref_id is None:
        raise ValueError("image_ref_id is required")

    with get_db() as conn:
        try:
            conn.execute(
                """INSERT INTO detection_results (image_ref_id, detector, model, ai_score, raw_response, metadata, detected_at)
                   VALUES (?, ?, ?, ?, ?, ?, ?)""",
                (image_ref_id, detector, model, ai_score,
                 json.dumps(raw_response) if raw_response else None,
                 json.dumps(metadata) if metadata else None,
                 datetime.now().isoformat())
            )
            return True
        except sqlite3.IntegrityError:
            # Already exists (UNIQUE constraint on image_ref_id, detector)
            return False


def get_detection_results(
    image_ref_id: int = None,
    detector: str = None,
) -> List[Dict]:
    """Get detection results with optional filters."""
    with get_db() as conn:
        query = "SELECT * FROM detection_results WHERE 1=1"
        params = []

        if image_ref_id:
            query += " AND image_ref_id = ?"
            params.append(image_ref_id)
        if detector:
            query += " AND detector = ?"
            params.append(detector)

        query += " ORDER BY detected_at DESC"
        rows = conn.execute(query, params).fetchall()
        return [dict(row) for row in rows]


def get_detection_results_by_ref(image_ref_id: int, detector: str = None) -> List[Dict]:
    """Get detection results for an image reference (preferred method)."""
    with get_db() as conn:
        query = "SELECT * FROM detection_results WHERE image_ref_id = ?"
        params = [image_ref_id]

        if detector:
            query += " AND detector = ?"
            params.append(detector)

        query += " ORDER BY detected_at DESC"
        rows = conn.execute(query, params).fetchall()
        return [dict(row) for row in rows]


def has_detection_result(image_ref_id: int, detector: str) -> bool:
    """Check if an image_ref already has a detection result for this detector."""
    with get_db() as conn:
        row = conn.execute(
            "SELECT 1 FROM detection_results WHERE image_ref_id = ? AND detector = ?",
            (image_ref_id, detector)
        ).fetchone()
        return row is not None


# Alias for backward compatibility
has_detection_result_by_ref = has_detection_result


def get_images_without_detection(
    detector: str,
    image_type: str = "generated",
    category: str = None,
    model: str = None,
    random_order: bool = False,
    group: int = None,
) -> List[Dict]:
    """Get images that don't have a detection result for this detector.

    For image_type='generated', returns generated_images records with s3_path from image_refs.
    For image_type='base', returns validated base images with s3_processed_path from image_refs.

    Uses image_ref_id for efficient joining.
    """
    with get_db() as conn:
        if image_type == "generated":
            # Use image_ref_id for clean joining, include s3_path from image_refs
            query = """
                SELECT g.*, i.category, r.s3_path
                FROM generated_images g
                JOIN images i ON g.base_image_id = i.id
                JOIN image_refs r ON g.image_ref_id = r.id
                LEFT JOIN detection_results d ON
                    g.image_ref_id = d.image_ref_id AND
                    d.detector = ?
                WHERE d.id IS NULL AND g.image_ref_id IS NOT NULL
            """
            params = [detector]
        else:
            # For base images, include s3_processed_path from image_refs
            query = """
                SELECT i.*, r.s3_path as s3_processed_path, r.image_hash
                FROM images i
                JOIN image_refs r ON i.image_ref_id = r.id
                LEFT JOIN detection_results d ON i.image_ref_id = d.image_ref_id AND d.detector = ?
                WHERE i.valid = 1 AND d.id IS NULL AND i.image_ref_id IS NOT NULL
            """
            params = [detector]

        if category:
            query += " AND i.category = ?"
            params.append(category)

        if model and image_type == "generated":
            query += " AND g.model = ?"
            params.append(model)

        if group is not None:
            query += ' AND i."group" = ?'
            params.append(group)

        if random_order:
            query += " ORDER BY RANDOM()"
        else:
            query += " ORDER BY g.created_at" if image_type == "generated" else " ORDER BY i.downloaded_at"
        rows = conn.execute(query, params).fetchall()
        return [dict(row) for row in rows]


def insert_image_prompt(
    image_id: str,
    prompt: str,
    model: str = "gemini-3-pro-preview",
) -> bool:
    """Insert an image prompt. Returns True if inserted, False if already exists."""
    with get_db() as conn:
        try:
            conn.execute(
                """INSERT INTO image_prompts (image_id, prompt, model, created_at)
                   VALUES (?, ?, ?, ?)""",
                (image_id, prompt, model, datetime.now().isoformat())
            )
            return True
        except sqlite3.IntegrityError:
            return False


def get_image_prompt(image_id: str, model: str = None) -> Optional[Dict]:
    """Get prompt for an image, optionally filtered by model."""
    with get_db() as conn:
        if model:
            row = conn.execute(
                "SELECT * FROM image_prompts WHERE image_id = ? AND model = ?",
                (image_id, model)
            ).fetchone()
        else:
            row = conn.execute(
                "SELECT * FROM image_prompts WHERE image_id = ? ORDER BY created_at DESC",
                (image_id,)
            ).fetchone()
        return dict(row) if row else None


def get_images_without_prompt(model: str = "gemini-3-pro-preview", category: str = None, group: int = None) -> List[Dict]:
    """Get validated images that don't have a prompt generated for this model.

    Returns images joined with their image_ref for s3_path access.
    """
    with get_db() as conn:
        query = """
            SELECT i.*, r.s3_path as s3_processed_path, r.image_hash
            FROM images i
            LEFT JOIN image_refs r ON i.image_ref_id = r.id
            LEFT JOIN image_prompts p ON i.id = p.image_id AND p.model = ?
            WHERE i.valid = 1 AND p.id IS NULL AND i.image_ref_id IS NOT NULL
        """
        params = [model]

        if category:
            query += " AND i.category = ?"
            params.append(category)

        if group is not None:
            query += " AND i.\"group\" = ?"
            params.append(group)

        query += " ORDER BY i.downloaded_at"
        rows = conn.execute(query, params).fetchall()
        return [dict(row) for row in rows]


def get_images_with_prompt(model: str = "gemini-3-pro-preview", category: str = None, group: int = None) -> List[Dict]:
    """Get validated images that have a prompt generated for this model.

    Returns images joined with their image_ref for s3_path access.
    """
    with get_db() as conn:
        query = """
            SELECT i.*, r.s3_path as s3_processed_path, r.image_hash, p.prompt
            FROM images i
            LEFT JOIN image_refs r ON i.image_ref_id = r.id
            JOIN image_prompts p ON i.id = p.image_id AND p.model = ?
            WHERE i.valid = 1 AND i.image_ref_id IS NOT NULL
        """
        params = [model]

        if category:
            query += " AND i.category = ?"
            params.append(category)

        if group is not None:
            query += ' AND i."group" = ?'
            params.append(group)

        query += " ORDER BY i.downloaded_at"
        rows = conn.execute(query, params).fetchall()
        return [dict(row) for row in rows]


if __name__ == "__main__":
    # Quick test
    import sys

    if len(sys.argv) < 2:
        print("Usage:")
        print("  python storage.py stats")
        print("  python storage.py export")
        print("  python storage.py list [category] [status]")
        sys.exit(1)

    cmd = sys.argv[1]

    if cmd == "stats":
        print(get_stats())
    elif cmd == "export":
        path = export_to_json()
        print(f"Exported to {path}")
    elif cmd == "list":
        category = sys.argv[2] if len(sys.argv) > 2 else None
        status = sys.argv[3] if len(sys.argv) > 3 else None
        for img in get_images(category, status)[:20]:
            print(f"{img['id']}: {img['status']}")