add smi replay simulator

pyproject.toml

@@ -73,6 +73,7 @@ all = [
     "pandas",
     "python-dotenv",
     "pyarrow>=14.0.1",
+    "aiosqlite",
 
 ]
 

src/arroyosas/app/db_replay_sim_cli.py

@@ -0,0 +1,305 @@
+import asyncio
+import logging
+import os
+import aiosqlite
+from datetime import datetime
+
+import typer
+import zmq
+import zmq.asyncio
+import msgpack
+from tiled.client import from_uri
+
+from ..config import settings
+from ..schemas import (
+    RawFrameEvent,
+    SASStart,
+    SASStop,
+    SerializableNumpyArrayModel,
+)
+
+"""
+Simulates image retrieval by reading Tiled URLs from a local SQLite database
+and sends the fetched images onto ZMQ.
+"""
+
+# Get configuration from environment variables with defaults
+DEFAULT_DB_PATH = os.getenv("DB_PATH", "latent_vectors.db")
+DEFAULT_API_KEY = os.getenv("TILED_API_KEY", None)
+# New environment variable for selecting prod vs dev environment
+TILED_ENV = os.getenv("TILED_ENV", "dev").lower()
+
+# Define environment-specific URLs
+TILED_URLS = {
+    "dev": {
+        "url_pattern": "http://tiled-dev.nsls2.bnl.gov/api/v1/array/full/"
+    },
+    "prod": {
+        "url_pattern": "http://tiled.nsls2.bnl.gov/api/v1/array/full/"
+    }
+}
+
+# Setup logging
+logger = logging.getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+
+app = typer.Typer()
+
+
+async def get_urls_from_db(db_path, limit=None):
+    """Get a list of Tiled URLs from the database asynchronously"""
+    try:
+        async with aiosqlite.connect(db_path) as conn:
+            query = "SELECT id, tiled_url FROM vectors ORDER BY id"
+            if limit:
+                query += f" LIMIT {limit}"
+
+            async with conn.execute(query) as cursor:
+                results = await cursor.fetchall()
+
+            if not results:
+                logger.warning(f"No Tiled URLs found in database {db_path}")
+                return []
+
+            logger.info(f"Found {len(results)} Tiled URLs in database")
+            return results
+    except Exception as e:
+        logger.error(f"Error reading from database: {e}")
+        return []
+
+
+def transform_url_for_env(tiled_url, env):
+    """
+    Transform a Tiled URL to match the specified environment format.
+
+    Args:
+        tiled_url: The original Tiled URL (typically from dev environment)
+        env: The target environment ('dev' or 'prod')
+
+    Returns:
+        str: Transformed URL for the target environment
+    """
+    if env not in TILED_URLS:
+        logger.warning(f"Unknown environment '{env}', falling back to 'dev'")
+        env = "dev"
+
+    # If we're staying in dev, no transformation needed
+    if env == "dev" and "tiled-dev.nsls2.bnl.gov" in tiled_url:
+        return tiled_url
+
+    # Extract slice parameter if present
+    slice_param = None
+    if '?' in tiled_url:
+        slice_param = tiled_url.split('?')[1]
+
+    # Parse the URL to extract UUID and stream path
+    url_without_query = tiled_url.split('?')[0]  # Remove query parameters
+
+    # Extract UUID and stream path
+    uuid = None
+    stream_path = None
+
+    if 'array/full/' in url_without_query:
+        path_after_full = url_without_query.split('array/full/')[1]
+        parts = path_after_full.split('/')
+        if len(parts) >= 1:
+            uuid = parts[0]
+            if len(parts) > 1:
+                stream_path = '/'.join(parts[1:])
+
+    if not uuid or not stream_path:
+        logger.error(f"Could not parse Tiled URL: {tiled_url}")
+        return tiled_url  # Return original if parsing fails
+
+    # Transform URL based on environment
+    if env == "prod":
+        # Get image name from stream_path
+        parts = stream_path.split('/')
+        if len(parts) > 0:
+            image_name = parts[-1]
+            # Format: http://tiled.nsls2.bnl.gov/api/v1/array/full/smi/raw/{uuid}/primary/data/{image_name}?slice=...
+            new_url = f"{TILED_URLS[env]['url_pattern']}smi/raw/{uuid}/primary/data/{image_name}"
+        else:
+            # Fallback if we can't extract image name
+            logger.error(f"Could not extract image name from stream path: {stream_path}")
+            return tiled_url
+    else:
+        # Dev URL format: http://tiled-dev.nsls2.bnl.gov/api/v1/array/full/{uuid}/{stream_path}?slice=...
+        new_url = f"{TILED_URLS[env]['url_pattern']}{uuid}/{stream_path}"
+
+    # Add slice parameter if it exists
+    if slice_param:
+        new_url = f"{new_url}?{slice_param}"
+
+    logger.debug(f"Transformed URL: {tiled_url} -> {new_url}")
+    return new_url
+
+
+def _read_image_from_tiled_url_sync(tiled_url, api_key=None):
+    """
+    Read an image from a Tiled URL.
+
+    Args:
+        tiled_url: The Tiled URL (already transformed for the appropriate environment)
+        api_key: API key for Tiled authentication
+
+    Returns:
+        tuple: (image_data, index)
+    """
+    try:
+        # Extract index from slice parameter
+        index = 0  # Default index
+        if '?' in tiled_url and 'slice=' in tiled_url:
+            slice_param = tiled_url.split('slice=')[1].split('&')[0]
+            if ':' in slice_param:
+                parts = slice_param.split(',')[0].split(':')
+                if parts[0].isdigit():
+                    index = int(parts[0])
+
+        # Parse the URL to extract base URL and path
+        url_without_query = tiled_url.split('?')[0]  # Remove query parameters
+        url_parts = url_without_query.split('/api/v1/')
+
+        if len(url_parts) != 2:
+            logger.error(f"Invalid Tiled URL format: {tiled_url}")
+            return None, 0
+
+        # Change array/full to metadata
+        base_uri = f"{url_parts[0]}/api/v1/metadata"
+
+        # Extract dataset URI - get everything after "array/full/"
+        full_path = url_parts[1]
+
+        if 'array/full/' in url_without_query:
+            # If the URL contains array/full, extract the part after it
+            path_parts = full_path.split('array/full/')
+            if len(path_parts) > 1:
+                dataset_uri = path_parts[1]
+            else:
+                dataset_uri = full_path
+        else:
+            # If URL doesn't contain array/full, use the whole path
+            dataset_uri = full_path
+
+        logger.debug(f"Base URI: {base_uri}, Dataset URI: {dataset_uri}, Index: {index}")
+
+        # Connect to the Tiled server
+        client = from_uri(base_uri, api_key=api_key)
+
+        # Access the dataset
+        tiled_data = client[dataset_uri]
+        logger.debug(f"Dataset shape: {tiled_data.shape}, dtype: {tiled_data.dtype}")
+
+        # Retrieve the image at the specified index
+        image = tiled_data[index]
+
+        return image, index
+
+    except Exception as e:
+        logger.error(f"Error reading from Tiled URL {tiled_url}: {e}")
+        return None, 0
+
+
+async def read_image_from_tiled_url(tiled_url, api_key=None):
+    """Async wrapper for _read_image_from_tiled_url_sync"""
+    return await asyncio.to_thread(_read_image_from_tiled_url_sync, tiled_url, api_key)
+
+
+@app.command()
+def main(
+    db_path: str = typer.Option(DEFAULT_DB_PATH, help="Path to the SQLite database containing Tiled URLs"),
+    max_frames: int = typer.Option(10000, help="Maximum number of frames to process"),
+    api_key: str = typer.Option(DEFAULT_API_KEY, help="API key for Tiled authentication"),
+    env: str = typer.Option(TILED_ENV, help="Tiled environment to use ('dev' or 'prod')")
+):
+    """
+    Run the image simulator that reads Tiled URLs from a database, fetches the images, and publishes them via ZMQ.
+
+    Configuration can be set via environment variables:
+    - DB_PATH: Path to the SQLite database
+    - TILED_API_KEY: API key for Tiled authentication
+    - TILED_ENV: Environment to use ('dev' or 'prod')
+
+    Command-line arguments override environment variables.
+    """
+    # Log the configuration
+    logger.info(f"Starting DB Image Simulator with:")
+    logger.info(f"- Database path: {db_path}")
+    logger.info(f"- Max frames: {max_frames}")
+    logger.info(f"- API key provided: {api_key is not None}")
+    logger.info(f"- Tiled environment: {env}")
+
+    async def run():
+        # Check if database exists
+        if not os.path.exists(db_path):
+            logger.error(f"Database file not found: {db_path}")
+            return
+
+        # Setup ZMQ socket
+        context = zmq.asyncio.Context()
+        socket = context.socket(zmq.PUB)
+        address = settings.tiled_poller.zmq_frame_publisher.address
+        logger.info(f"Binding to ZMQ address: {address}")
+        socket.bind(address)
+
+        # Get URLs from database
+        urls = await get_urls_from_db(db_path, limit=max_frames)
+        if not urls:
+            logger.error("No URLs found in database, cannot continue")
+            return
+
+        # Send start event
+        current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+        start = SASStart(
+            width=1679,    # Default values - these will be updated from real data
+            height=1475,
+            data_type="uint32",
+            tiled_url=f"{env}://latent_vectors",
+            run_name=f"{env}_tiled_run",
+            run_id=str(current_time),
+        )
+        logger.info(f"Sending start event")
+        await socket.send(msgpack.packb(start.model_dump()))
+
+        # Process each URL
+        for db_id, tiled_url in urls:
+            try:
+                logger.info(f"Processing URL from DB record {db_id}: {tiled_url}")
+
+                # Transform the URL for the current environment before processing
+                transformed_url = transform_url_for_env(tiled_url, env)
+                logger.info(f"Transformed URL: {transformed_url}")
+
+                # Read image data from transformed Tiled URL
+                image_data, index = await read_image_from_tiled_url(transformed_url, api_key)
+
+                if image_data is None:
+                    logger.error(f"Failed to read image from {transformed_url}")
+                    continue
+
+                # Send the frame event with transformed URL
+                event = RawFrameEvent(
+                    image=SerializableNumpyArrayModel(array=image_data),
+                    frame_number=index,
+                    tiled_url=transformed_url,
+                )
+                logger.info(f"Sending frame {index}")
+                await socket.send(msgpack.packb(event.model_dump()))
+
+                # Small delay between frames
+                await asyncio.sleep(0.1)
+
+            except Exception as e:
+                logger.error(f"Error processing frame from {tiled_url}: {e}")
+
+        # Send stop event
+        stop = SASStop(num_frames=len(urls))
+        logger.info(f"Sending stop event")
+        await socket.send(msgpack.packb(stop.model_dump()))
+        logger.info(f"Complete - sent {len(urls)} frames")
+
+    asyncio.run(run())
+
+
+if __name__ == "__main__":
+    app()