Initial Draft

Dashboard.py

@@ -1,42 +1,42 @@
 import streamlit as st
-import pandas as pd
-from datasets import load_dataset
+import lib.gdrive as gdrive
 import os
+import sys
+import pandas as pd
 
 ################################
 ######### Variables ############
 ################################
-HF_API_KEY = os.environ.get("HF_API_KEY")
-DATA_SET = os.environ.get("DATA_SET")
+# -- Loading Variables
+script_directory = os.path.dirname(os.path.abspath(sys.argv[0]))
+
+# -- Loading Session Data
+if 'project_data' not in st.session_state:
+    st.session_state.project_data = pd.read_csv(script_directory+'/data/project.csv')
 
 ################################
 ####### GenericFunctions #######
 ################################
-def load_hf_dataset():
-    dataset = load_dataset(DATA_SET)
-    return dataset
-    
-def save_dataset():
-    # Load a dataset from the Hugging Face Hub
-    dataset = load_hf_dataset()
-
-    # Create a directory to save the files
-    output_directory = "data"
-    os.makedirs(output_directory, exist_ok=True)
-
-    # Iterate through the dataset and save each file to the data folder
-    for split in dataset.keys():
-        for file_name, file_content in enumerate(dataset[split]):
-            file_path = os.path.join(output_directory, file_name)    
-            with open(file_path, 'w', encoding='utf-8') as file:
-                file.write(file_content)
-    
-            print(f"Saved: {file_path}")
+# -- Save Files
+def save_data_files():
+    if not os.listdir(script_directory+"/data"):
+        gdrive.download_file("project.csv",script_directory+"/data/")
+    else:
+        print("Project details already exists")
 
-    print("All files saved successfully.")
-
-    
 ################################
 ####### Display of data ########
 ################################
-save_dataset()
+# -- Streamlit Settings
+st.set_page_config(layout='wide')
+st.title("Dashboard")
+
+# -- Load base files from Google Drive
+save_data_files()
+
+# -- Show Metrics
+col1, col2, col3 = st.columns(3)
+col1.metric("Projects", len(st.session_state.project_data))
+
+# -- Transformations Performed
+col2.metric("Transformations", "12")