# /// script
# requires-python = ">=3.12"
# dependencies = [
# "fastapi",
# "marimo",
# "starlette",
# "python-dotenv",
# "pydantic",
# "duckdb",
# "altair==5.5.0",
# "beautifulsoup4==4.13.3",
# "httpx==0.28.1",
# "marimo",
# "nest-asyncio==1.6.0",
# "numba==0.61.0",
# "numpy==2.1.3",
# "polars==1.24.0",
# ]
# ///
import logging
import os
from pathlib import Path
import marimo
from dotenv import load_dotenv
from fastapi import FastAPI, Request
from fastapi.responses import HTMLResponse
# Load environment variables
load_dotenv()
# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Get port from environment variable or use default
PORT = int(os.environ.get("PORT", 7860))
root_dir = Path(__file__).parent.parent
ROOTS = [
root_dir / "polars",
root_dir / "duckdb",
]
server = marimo.create_asgi_app(include_code=True)
app_names: list[str] = []
for root in ROOTS:
for filename in root.iterdir():
if filename.is_file() and filename.suffix == ".py":
app_path = root.stem + "/" + filename.stem
server = server.with_app(path=f"/{app_path}", root=str(filename))
app_names.append(app_path)
# Create a FastAPI app
app = FastAPI()
logger.info(f"Mounting {len(app_names)} apps")
for app_name in app_names:
logger.info(f" /{app_name}")
@app.get("/")
async def home(request: Request):
html_content = """
marimo learn
Welcome to marimo learn!
This is a collection of interactive tutorials for learning data science libraries with marimo.
Check out the GitHub repository for more information.
"""
return HTMLResponse(content=html_content)
app.mount("/", server.build())
# Run the server
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=PORT, log_level="info")