Update main.py

main.py

@@ -24,23 +24,40 @@ config_fig = {
   }
 }
 
-config_path = "./azure/data/config.yaml"
+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")
+#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 = pl.read_parquet(path_parquet)
 #df = df.rename({"__index_level_0__": "Unnamed: 0"})
 
 # Setup the app