Spaces:
Sleeping
Sleeping
File size: 2,360 Bytes
56dc3ca 411395e 56dc3ca 901b6e3 56dc3ca 901b6e3 56dc3ca 901b6e3 56dc3ca 1a10d4e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
import uvicorn
from fastapi import FastAPI
from fastapi.middleware.wsgi import WSGIMiddleware
from dash_plotly_QC_scRNA import app as dashboard1
#from app2 import app as dashboard2
#########################################################
import dash
from dash import dcc, html, Output, Input
import plotly.express as px
import dash_callback_chain
import yaml
import polars as pl
import os
pl.enable_string_cache(False)
# Set custom resolution for plots:
config_fig = {
'toImageButtonOptions': {
'format': 'svg',
'filename': 'custom_image',
'height': 600,
'width': 700,
'scale': 1,
}
}
from adlfs import AzureBlobFileSystem
mountpount=os.environ['AZURE_MOUNT_POINT'],
accountkey=os.environ['AZURE_STORAGE_ACCESS_KEY'],
accountname=os.environ['AZURE_STORAGE_ACCOUNT'],
storage_options={'account_name': ACCOUNT_NAME, 'anon': False}
df = pl.read_parquet(path="liu/filename.parquet",storage_options=storage_options)
#abfs = AzureBlobFileSystem(account_name=accountname,account_key=accountkey)
#pq.write_table(polars_dataframe.to_arrow(), 'liu/file_name.parquet', filesystem=abfs)
#storage_options = {
# "aws_access_key_id": ,
# "aws_secret_access_key": os.environ['AZURE_STORAGE_ACCESS_KEY'],
#}
#df = pl.scan_parquet(source, storage_options=storage_options)
#config_path = "./azure/data/config.yaml"
# Add the read-in data from the yaml file
#def read_config(filename):
# with open(filename, 'r') as yaml_file:
# config = yaml.safe_load(yaml_file)
# return config
#config = read_config(config_path)
#path_parquet = config.get("path_parquet")
#conditions = config.get("conditions")
#col_features = config.get("col_features")
#col_counts = config.get("col_counts")
#col_mt = config.get("col_mt")
# Import the data from one .parquet file
#df = pl.read_parquet(path_parquet)
#df = df.rename({"__index_level_0__": "Unnamed: 0"})
# Setup the app
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
######################################################################
# Define the FastAPI server
# Mount the Dash app as a sub-application in the FastAPI server
#app.mount("/dashboard2", WSGIMiddleware(dashboard2.server))
# Start the FastAPI server
if __name__ == "__main__":
app = FastAPI()
app.mount("/dashboard1", WSGIMiddleware(dashboard1.server))
uvicorn.run(app, host="0.0.0.0") |