This commit is contained in:
Michael Pilosov 2024-05-31 11:25:40 -06:00
commit 6cb121cfc1
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out/
*.gif
*.mp4
__pycache__/
*.db

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# Use Python 3.10.11 slim image as the base image
FROM python:3.10.11-slim
# Set environment variables to avoid writing .pyc files and buffering stdout and stderr
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
# Create a new user 'user' with UID and GID of 1000
RUN groupadd -g 1000 user && \
useradd -m -s /bin/bash -u 1000 -g user user
# Set environment variables for the user install
ENV PATH=/home/user/.local/bin:$PATH
# Install system dependencies as root
RUN apt-get update && \
apt-get install -y --no-install-recommends make ffmpeg dumb-init && \
rm -rf /var/lib/apt/lists/*
# Set the home directory
WORKDIR /home/user/
RUN chown -R user:user /home/user
# Switch to non-root user before copying files and installing Python packages
USER user
# Copy the requirements file to /tmp and install Python dependencies with user flag
COPY --chown=user:user requirements.txt /tmp/requirements.txt
RUN python -m pip install --upgrade pip
RUN pip install --no-cache-dir --user -r /tmp/requirements.txt
# APPLICATION SETUP
# Copy the default profiles file and set the appropriate permissions
COPY --chown=user:user profiles.default.toml /home/user/.prefect/profiles.toml
# Copy the application files
COPY --chown=user:user app ./app
COPY --chown=user:user noaa_animate.py .
COPY --chown=user:user start.sh .
COPY --chown=user:user init_db.py .
RUN chmod +x start.sh
RUN mkdir -p out
RUN python init_db.py /home/user/.prefect/prefect.db
# Set the correct ownership (recursively) for /app
# Already owned by user due to --chown in COPY commands
# Define the entrypoint and the commands to execute
ENTRYPOINT ["dumb-init", "--"]
CMD ["./start.sh"]

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# NOAA Animation Web App
![preview](preview.jpg)
Animate images from a website full of urls by way of a proxy server and some Python functions wrapped with the `prefect` decorator.
Uses https://services.swpc.noaa.gov as an example.
## Instructions
If you have `docker` and `make` installed, just run:
```bash
make
```
and visit `localhost:4200` to see Prefect, and `localhost:9021/iframe` to view the UI.

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import logging
import os
import re
import time
from datetime import datetime
import requests
from flask import Flask, Response, render_template, request, send_from_directory
from prefect.deployments import run_deployment
PORT = 9021
app = Flask(__name__)
logging.basicConfig(level=logging.DEBUG)
def deploy_name():
return datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%S") + "Z"
def get_host():
host = os.environ.get("LIGHTNING_CLOUDSPACE_HOST")
if host is None:
default_host = os.environ.get("HOST_NAME", "0.0.0.0")
return f"{default_host}:{PORT}"
else:
return f"{PORT}-{host}"
@app.route("/iframe")
@app.route("/iframe/")
@app.route("/iframe/<path:subpath>")
def home(subpath="images/animations/"):
host = get_host()
initial_url = f"http://{host}/{subpath}"
api_url = f"http://{host}/api"
return render_template(
"index.html", initial_url=initial_url, host=f"http://{host}", api_url=api_url
)
@app.route("/api", methods=["POST"])
def handle_api():
data = request.json # This assumes you're sending JSON data.
url = data.get("url")
logging.debug(f"Received URL: {url}")
params = {"url": url, "limit": 24 * 60, "ext": None}
response = run_deployment(
name="create-animations/noaa-animate",
parameters=params,
flow_run_name=f"{deploy_name()}.webapp.{url}",
)
# response is a FlowRun - need to get what we want from it.
# Process the data as needed.
return {
"status": "success",
"message": f"{url} processed successfully",
# "response": response,
}, 200
@app.route("/videos/<path:filename>")
def custom_static(filename):
return send_from_directory("../out", filename)
@app.route("/", methods=["GET"])
@app.route("/<path:url>", methods=["GET"])
def proxy(url=""):
original_base_url = "https://services.swpc.noaa.gov"
host = get_host()
proxy_base_url = f"http://{host}/"
target_url = f"{original_base_url}/{url}"
logging.debug(f"Fetching URL: {target_url}")
try:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36"
}
response = requests.get(target_url, headers=headers, stream=True)
excluded_headers = [
"content-encoding",
"content-length",
"transfer-encoding",
"connection",
]
headers = [
(name, value)
for (name, value) in response.raw.headers.items()
if name.lower() not in excluded_headers
]
if "text/html" in response.headers.get("Content-Type", ""):
content = response.content.decode("utf-8")
content = re.sub(r"'http://", "'https://", content)
content = re.sub(
r"https?://services.swpc.noaa.gov", proxy_base_url, content
)
content = content.replace(
"</body>",
f"""
<script>
window.addEventListener('load', function() {{
var hasSufficientImages = false;
var observer = new MutationObserver(function(mutations) {{
mutations.forEach(function(mutation) {{
if (mutation.type === 'childList') {{
console.log('observer');
checkImages();
}}
}});
}});
observer.observe(document.body, {{ childList: true, subtree: true }});
function checkImages() {{
var links = document.querySelectorAll('a');
var imageLinkRegex = /\.(jpg|jpeg|png)(\\?.*)?(#.*)?$/i;
var numImages = Array.from(links).filter(link => imageLinkRegex.test(link.href)).length;
console.log('Number of eligible links:', numImages);
hasSufficientImages = numImages >= 60;
window.parent.postMessage({{ type: 'urlUpdate', url: '{original_base_url}/{url}', eligible: hasSufficientImages }}, '*');
}}
// Run initial check in case content is already loaded
console.log('initial');
checkImages();
}});
</script>
</body>""",
)
content = content.encode("utf-8")
return Response(content, status=response.status_code, headers=headers)
else:
return Response(
response.content, status=response.status_code, headers=headers
)
except Exception as e:
logging.error(f"Error fetching URL: {e}")
return Response(f"Error fetching URL: {e}", status=500)
if __name__ == "__main__":
app.run(host="0.0.0.0", port=9021, debug=True)

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start:
gunicorn --worker-class gevent --bind 0.0.0.0:9021 app:app
dev:
python app.py

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Animator</title>
<style>
body {
font-family: Arial, sans-serif;
display: flex;
flex-direction: column;
align-items: center;
margin: 0;
padding: 20px;
}
iframe {
width: 99%;
/* Full width to use available space */
height: 500px;
border: 1px solid #ccc;
margin-bottom: 20px;
}
#current-url {
font-size: 16px;
color: #333;
width: 100%;
/* Makes sure it takes the full container width */
word-wrap: break-word;
/* Ensures the text wraps in the div */
margin-bottom: 10px;
/* Space before the navigation buttons */
}
.button-group {
display: flex;
/* Aligns buttons in a row */
justify-content: center;
/* Centers buttons horizontally */
gap: 10px;
/* Adds space between buttons */
}
button {
padding: 5px 10px;
margin: 10px;
border-radius: 5px;
/* Rounded corners */
border: 1px solid #ccc;
/* Grey border */
display: inline-block;
/* Ensures buttons are inline and can control additional layout properties */
font-size: 16px;
}
#backButton,
#forwardButton {
background-color: #f0f0f0;
/* Light grey background */
color: #333;
/* Dark text */
padding: 0px 10px;
/* Reduced vertical padding for narrow height */
cursor: pointer;
/* Cursor indicates button */
height: 24px;
/* Fixed height for a narrower button */
line-height: 16px;
/* Adjust line height to vertically center the text */
margin: 2px;
/* Small margin to separate buttons slightly */
}
#backButton:hover,
#forwardButton:hover {
background-color: #e8e8e8;
/* Slightly darker background on hover */
}
video {
display: none;
/* Initially hide the video player */
width: 99%;
/* Adjust based on your layout needs, or use max-width for responsiveness */
height: auto;
/* Maintain aspect ratio */
margin-top: 20px;
/* Ensure it's centered properly */
max-width: 640px;
/* Max width of the video */
border: 1px solid #ccc;
/* Optional, adds a border for better visibility */
}
</style>
</head>
<body>
<h1>Animate a Folder of Images</h1>
<p>Navigate to a folder of 60+ images.</p>
<iframe id="iframe" src="{{ initial_url }}"></iframe>
<div class="button-group"> <!-- Button group for inline display -->
<button id="backButton" onclick="goBack()">&#8592;</button>
<button id="forwardButton" onclick="goForward()">&#8594;</button>
</div>
<button id="submit-button" onclick="submitUrl()" style="display:none;">Create Latest Movie</button>
<div id="loading-spinner" style="display: none;">
<div class="spinner"></div>
</div>
<style>
.spinner {
border: 8px solid #f3f3f3;
/* Light grey */
border-top: 8px solid #3498db;
/* Blue */
border-radius: 50%;
width: 50px;
height: 50px;
animation: spin 45s linear infinite;
}
@keyframes spin {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
</style>
<video id="video-player" controls loop style="display: none;">
<source id="video-source" type="video/mp4">
Your browser does not support the video tag.
</video>
<script>
function goBack() {
document.getElementById('iframe').contentWindow.history.back();
}
function goForward() {
document.getElementById('iframe').contentWindow.history.forward();
}
// function updateUrl(url) {
// document.getElementById('url').textContent = url;
// }
function updateUrl(url) {
document.getElementById('url').textContent = url;
}
function handleVideoSuccess() {
console.log("Video loaded successfully.");
document.getElementById('video-player').style.display = 'block'; // Show the video player only if the video loads successfully
}
function handleVideoError() {
console.log("Unable to load video.");
document.getElementById('video-player').style.display = 'none'; // Hide the video player
document.getElementById('submit-button').textContent = 'Generate Movie';
}
function updateVideo(url) {
// Convert the full URL to a format suitable for your video path
let formattedPath = url.replace(/https?:\/\//, '') // Remove the protocol part
.replace(/\./g, '_') // Replace dots with underscores
.replace(/\//g, '-'); // Replace slashes with hyphens
// Check if the formattedPath ends with a slash, if not append '-'
if (!formattedPath.endsWith('-')) {
formattedPath += '-';
}
// Append '.mp4' to the formatted path
let videoPath = `${formattedPath}latest.mp4`;
let videoPlayer = document.getElementById('video-player');
let videoSource = document.getElementById('video-source');
videoPlayer.muted = true;
// Set up event listeners before setting the source
videoSource.onerror = handleVideoError;
// videoSource.onloadedmetadata = handleVideoSuccess;
console.log("Fetched latest")
videoSource.src = `/videos/${videoPath}`;
videoPlayer.load();
// videoPlayer.style.display = 'block';
videoPlayer.play().then(() => {
// The video is playing, show the player
console.log("Video loaded and playing.");
videoPlayer.style.display = 'block';
}).catch(error => {
// Error playing the video
console.log("Failed to play video: ", error);
videoPlayer.style.display = 'none';
});
document.getElementById('submit-button').textContent = 'Generate Latest Movie';
}
window.addEventListener('message', function (event) {
if (event.origin === '{{ host }}') {
var data = event.data;
if (data && data.type === 'urlUpdate') {
const submitButton = document.getElementById('submit-button');
const videoPlayer = document.getElementById('video-player');
updateUrl(data.url);
if (data.eligible) {
submitButton.style.display = 'block'; // Show the button
updateVideo(data.url);
} else {
submitButton.style.display = 'none'; // Hide the button
videoPlayer.style.display = 'none'; // Hide the video
}
const newSubpath = new URL(data.url).pathname; // Extract the path from the URL
// Update the browser's URL to reflect the iframe's navigation
const newPath = `/iframe${newSubpath}`; // Construct the new path
document.getElementById('share-button').setAttribute('data-url', window.location.origin + newPath);
// history.pushState({ path: newPath }, '', newPath);
}
}
});
function submitUrl() {
const url = document.getElementById('url').textContent;
const payload = { url: url };
document.getElementById('loading-spinner').style.display = 'block'; // Show the loading spinner
document.getElementById('submit-button').style.display = 'none'; // Hide the button
console.log("Requesting new video.")
fetch('{{ api_url }}', {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify(payload)
}).then(response => response.json())
.then(data => {
console.log(data);
// Hide the loading spinner
document.getElementById('loading-spinner').style.display = 'none';
document.getElementById('submit-button').style.display = 'block';
updateUrl(url);
// Re-attempt to load the video
updateVideo(url);
})
.catch(error => {
console.error('Error:', error);
// Hide the loading spinner
document.getElementById('loading-spinner').style.display = 'none';
document.getElementById('submit-button').style.display = 'block';
});
}
function copyUrlToClipboard() {
const url = document.getElementById('share-button').getAttribute('data-url');
navigator.clipboard.writeText(url).then(() => {
alert('URL copied to clipboard!');
}).catch(err => {
console.error('Failed to copy: ', err);
});
}
</script>
<button id="share-button" onclick="copyUrlToClipboard()">Share Link</button>
<div align="center" id="current-url">Source: <span id="url">Loading...</span></div>
</body>
</html>

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import argparse
import logging
import os
import sqlite3
# Setup basic configuration for logging
logging.basicConfig(
level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
)
def initialize_db(db_path):
# Check if the database file already exists
db_exists = os.path.exists(db_path)
if db_exists:
logging.info(f"{db_path} exists") # Log a message if the database exists
return
try:
with sqlite3.connect(
db_path
) as conn: # Using 'with' to ensure that the connection is closed automatically
configure_database(conn)
except sqlite3.Error as e:
logging.error(f"Database error: {e}") # Log any SQLite errors that occur
except Exception as e:
logging.error(
f"Exception in initialize_db: {e}"
) # Log any other exceptions that occur
def configure_database(conn):
cursor = conn.cursor()
# Setting the journal mode to WAL for better concurrency
cursor.execute("PRAGMA journal_mode = WAL;")
# Setting synchronous to NORMAL for a balance between speed and reliability
cursor.execute("PRAGMA synchronous = NORMAL;")
# Setting a busy timeout to prevent immediate failures when the database is locked
cursor.execute("PRAGMA busy_timeout = 5000;")
# Increasing the cache size to reduce the number of disk I/O operations
cursor.execute("PRAGMA cache_size = -32000;")
# Enabling memory-mapped I/O for potentially faster file operations
cursor.execute("PRAGMA mmap_size = 536870912;")
# Setting locking mode to EXCLUSIVE can enhance performance for single-user scenarios
cursor.execute("PRAGMA locking_mode = EXCLUSIVE;")
# Ensuring foreign key constraints are enforced for data integrity
cursor.execute("PRAGMA foreign_keys = ON;")
conn.commit() # Commit all PRAGMA configurations
logging.info("Set up database with multi-user optimizations.")
def batch_transact(db_path, operations):
try:
with sqlite3.connect(
db_path
) as conn: # Ensure that the connection is handled properly
cursor = conn.cursor()
cursor.execute(
"BEGIN TRANSACTION;"
) # Start a transaction for batch operations
for operation in operations:
cursor.execute(
operation
) # Execute each SQL operation provided in the operations list
cursor.execute("COMMIT;") # Commit all operations at once
except sqlite3.Error as e:
logging.error(f"Database error during batch transaction: {e}")
except Exception as e:
logging.error(f"Exception in batch_transact: {e}")
def maintenance(db_path):
try:
with sqlite3.connect(db_path) as conn:
cursor = conn.cursor()
cursor.execute(
"PRAGMA optimize;"
) # Optimize the database to maintain performance
cursor.execute("VACUUM;") # Reclaim space and defragment the database file
except sqlite3.Error as e:
logging.error(f"Database error during maintenance: {e}")
except Exception as e:
logging.error(f"Exception in maintenance: {e}")
def parse_args():
parser = argparse.ArgumentParser(
description="Initialize and manage an SQLite database."
)
parser.add_argument("db_path", type=str, help="Path to the SQLite database file.")
args = parser.parse_args()
return args
if __name__ == "__main__":
args = parse_args() # Parse the command-line arguments for the database path
initialize_db(args.db_path) # Use the parsed path to initialize the database

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run: build
docker run --rm -ti --name noaa -e HOST_NAME=localhost -p 9021:9021 -p 4200:4200 noaa
build:
docker build -t noaa .
lint:
isort --profile=black .
black .

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import os
import re
from datetime import datetime, timedelta
from io import BytesIO
from typing import Dict, Iterator, List
import httpx
# import imageio
import numpy as np
from moviepy.editor import ImageSequenceClip
from PIL import Image
from prefect import flow, task
from prefect.task_runners import ConcurrentTaskRunner
from prefect.tasks import task_input_hash
BASE_URL = "https://services.swpc.noaa.gov/images/animations/geospace/"
@task(
retries=3,
retry_delay_seconds=5,
cache_key_fn=task_input_hash,
cache_expiration=timedelta(minutes=2),
log_prints=True,
)
def get_file_links(url: str, ext: str | None = None) -> Iterator[str]:
response = httpx.get(url)
response.raise_for_status()
webpage_content = response.text
if ext is None:
print("Extension not supplied. Inferring (less efficient) png/jpg/jpeg")
exts = ["png", "jpg", "jpeg"]
else:
exts = [ext.lower()]
lines = webpage_content.split("\n")
for line in lines:
for ext in exts:
if ext in line: # need to parse the href link
start_pos = line.find('href="') + len('href="')
end_pos = line.find('"', start_pos)
href = line[start_pos:end_pos]
if href.endswith(f"latest.{ext}"):
print("Skipping latest")
continue
if href.endswith(ext):
if not href.startswith("http"):
href = url + href
yield href
break # Exit the inner loop to avoid duplicate yields for multiple exts
def url_tail_hash(context, parameters):
# return a constant
return parameters["url"].split("/")[-1]
def out_path_hash(context, parameters):
return parameters["output_path"] + f"_L{len(parameters['images'])}"
@task(
retries=5,
retry_delay_seconds=1,
cache_key_fn=task_input_hash,
cache_expiration=timedelta(minutes=5),
result_storage_key="{parameters[url]}",
)
def get_content(url: str, params: Dict[str, any] | None = None):
response = httpx.get(f"https://{url}", params=params)
try:
response.raise_for_status()
return response.content
except httpx.HTTPStatusError:
return None
def preview_urls(urls):
print("URLS (head):")
print(urls[:5])
print("URLS (tail):")
print(urls[-5:])
@task(
cache_key_fn=task_input_hash,
cache_expiration=timedelta(hours=1),
)
def get_images(urls: List[str] | List[str], limit: int = 0):
if limit > 0:
print(f"Limiting to {limit} urls")
urls = urls[-limit:]
urls = [url.replace("https://", "").replace("http://", "") for url in urls]
preview_urls(urls)
futures = get_content.map(urls)
images = [
(urls[i], f.result()) for i, f in enumerate(futures) if f.result() is not None
]
return images
def extract_timestamp_from_url(url: str) -> str:
# Assuming the timestamp format is in the format shown in the screenshot
match = re.search(r"\d{8}_\d{6}", url)
return match.group(0) if match else ""
# @task(
# cache_key_fn=out_path_hash,
# cache_expiration=timedelta(minutes=3),
# result_storage_key="{parameters[output_path]}",
# )
# def create_animation(
# images: List[bytes], output_path: str, duration: float = 0.5
# ) -> None:
# if not images:
# raise ValueError("No images!")
# pil_images = [Image.open(BytesIO(img_data)).convert("RGB") for img_data in images]
# imageio.mimsave(output_path, pil_images, duration=duration)
# return output_path
def make_even_dimensions(image):
width, height = image.size
if width % 2 == 1:
width -= 1
if height % 2 == 1:
height -= 1
return image.resize((width, height), Image.ANTIALIAS)
def crop_to_even(image):
width, height = image.size
# Adjust width and height to be even
if width % 2 == 1:
width -= 1
if height % 2 == 1:
height -= 1
return image.crop((0, 0, width, height))
@task(
cache_key_fn=out_path_hash,
cache_expiration=timedelta(hours=4),
result_storage_key="{parameters[output_path]}",
)
def create_mp4_animation(images: List[bytes], output_path: str, fps: int = 24) -> None:
# Convert bytes to PIL images and then to numpy arrays
frames = [
np.array(crop_to_even(Image.open(BytesIO(img_data)).convert("RGB")))
for img_data in images
]
# Create a video clip from the image sequence
clip = ImageSequenceClip(frames, fps=fps)
# Write the video clip to a file
clip.write_videofile(
output_path,
codec="libx264",
ffmpeg_params=["-pix_fmt", "yuv420p"],
preset="medium",
bitrate="800k",
)
return output_path
def format_output_name(url: str, latest: bool = False):
if latest:
now = "latest"
else:
now = datetime.now().strftime("%Y%m%d-%H:%M:%S")
return (
url.replace("https://", "")
.replace("http://", "")
.replace("/", "-")
.replace(".", "_")
+ now
)
@task(
name="animate",
retries=0,
retry_delay_seconds=1,
log_prints=True,
cache_key_fn=task_input_hash,
cache_expiration=timedelta(minutes=3),
)
def animate(
url: str = "https://services.swpc.noaa.gov/images/animations/geospace/density/",
ext: str = "png",
latest: bool = True,
limit: int = 0,
):
urls = get_file_links(url, ext)
if len(urls) == 0:
raise ValueError("No urls scraped")
images = get_images(list(sorted(urls)), limit=limit)
if len(images) == 0:
raise ValueError("No images retrieved.")
print(f"Retrieved {len(images)} images.")
sorted_images = sorted(images, key=lambda x: extract_timestamp_from_url(x[0]))
print("Head:")
print([u for u, i in sorted_images[:5]])
frames = [s[1] for s in sorted_images]
# create_animation(frames, "out.gif", duration=5)
out_name = format_output_name(url, latest=latest)
create_mp4_animation(frames, f"out/{out_name}.mp4")
def deploy_name():
return datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%S") + "Z"
@flow(
name="create-animations",
retries=0,
retry_delay_seconds=1,
log_prints=True,
task_runner=ConcurrentTaskRunner(),
flow_run_name=None,
timeout_seconds=90,
)
def create_animations(
url: str | List[str] = BASE_URL + "velocity/",
ext: str | None = None,
latest: bool = False,
limit: int = 0,
):
if isinstance(url, str):
url = [url]
futures = animate.map(url, ext, latest, limit)
return futures
if __name__ == "__main__":
# make_animation.from_source(
# source=TEST_REPO,
# entrypoint="noaa_animate.py:make_animation",
# ).deploy(
# name="noaa-animate", work_pool_name="process"
# )
from prefect.client.schemas.schedules import CronSchedule
sched = CronSchedule(cron="*/15 * * * *", timezone="America/Denver")
links = [
BASE_URL + "density/",
BASE_URL + "velocity/",
BASE_URL + "pressure/",
]
sched_params = {
"latest": True,
"url": links,
"ext": "png",
"limit": 0,
}
create_animations.serve(
"noaa-animate", limit=8, schedule=None, parameters=sched_params
)
# make_animation(url)

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profiles.default.toml Normal file
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active = "default"
PREFECT_API_URL = "http://0.0.0.0:4200/api"
[profiles.default]
PREFECT_TASK_SCHEDULING_MAX_SCHEDULED_QUEUE_SIZE = 4
PREFECT_API_SERVICES_SCHEDULER_DEPLOYMENT_BATCH_SIZE = 100
PREFECT_API_SERVICES_SCHEDULER_ENABLED = true
PREFECT_API_SERVICES_SCHEDULER_INSERT_BATCH_SIZE = 500
PREFECT_API_SERVICES_SCHEDULER_LOOP_SECONDS = 60
PREFECT_API_SERVICES_SCHEDULER_MIN_RUNS = 3
PREFECT_API_SERVICES_SCHEDULER_MAX_RUNS = 100
PREFECT_API_SERVICES_SCHEDULER_MIN_SCHEDULED_TIME = '0:30:00'
PREFECT_API_SERVICES_SCHEDULER_MAX_SCHEDULED_TIME = '0 days, 8:00:00'

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requirements.txt Normal file
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prefect==2.17.1
Flask==3.0.3
gunicorn==22.0.0
gevent==24.2.1
moviepy==1.0.3
pillow==10.3.0
requests==2.32.3
httpx==0.27.0
# imageio==2.34.1

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start.sh Executable file
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#!/bin/bash
# Start the web app
cd app && make &
# Start Prefect in the background
prefect server start --host 0.0.0.0 &
sleep 10
# Start the deployment
python noaa_animate.py &
# Wait for all background jobs to finish
wait