Moving Physical DB to github storage repository

.gitignore

@@ -3,5 +3,5 @@
 /__pycache__
 __pycache__
 /data2
-# /physical_db/physical_database.csv
+/physical_db/physical_database.csv
 # /physical_db

Changelog.md

@@ -1,6 +1,14 @@
 
 # CHANGELOGS
 
+## [0.2.3] - 2024-09-30
+
+- Moving physical database to github storage repository
+  
+## [0.2.2] - 2024-09-30
+
+- Add invunit summary
+
 ## [0.2.1] - 2024-09-30
 
 - improve lac plot for 2G and 3G

app.py

@@ -15,7 +15,7 @@ pages = {
     "Apps": [
         st.Page("apps/database_page.py", title="Generate Databases"),
         st.Page("apps/core_dump_page.py", title="Parse dump core"),
-        st.Page("apps/import_physical_db.py", title="Physical Database Management"),
+        st.Page("apps/import_physical_db.py", title="Physical Database Verification"),
         st.Page("apps/gps_converter.py", title="GPS Converter"),
         st.Page("apps/distance.py", title="Distance Calculator"),
     ],

apps/import_physical_db.py

@@ -3,75 +3,14 @@ import os
 import pandas as pd
 import streamlit as st
 
-# Define the folder path where the physical database will be stored
-physical_db_folder = "physical_db"
-physical_db_file = os.path.join(physical_db_folder, "physical_database.csv")
-
-# Ensure the folder exists
-if not os.path.exists(physical_db_folder):
-    os.makedirs(physical_db_folder)
+url = "https://raw.githubusercontent.com/DavMelchi/STORAGE/refs/heads/main/physical_db/physical_database.csv"
 
 # Streamlit app title
-st.title("Physical Database Management")
-
-# Step 1: Upload a new CSV file
-uploaded_file = st.file_uploader(
-    "Upload a CSV file of new physical database", type="csv"
-)
-
-if uploaded_file is not None:
-    # Step 2: Check if the file contains the required columns
-    df = pd.read_csv(uploaded_file)
-    required_columns = [
-        "CODE",
-        "sector",
-        "Code_Sector",
-        "Azimut",
-        "Longitude",
-        "Latitude",
-        "Hauteur",
-    ]
-
-    if not all(col in df.columns for col in required_columns):
-        st.error(
-            f"Error: The file must contain the following columns: {', '.join(required_columns)}"
-        )
-    elif len(df) <= 500:
-        st.error("Error: The file must contain more than 500 rows.")
-    else:
-        st.success(
-            "File successfully validated. Click on the Save button to save the new physical database file."
-        )
-
-        # Display the DataFrame
-        st.write(df)
-
-        # Step 6: Add button to save the new file
-        if st.button("Save the new physical database file", type="primary"):
-            # Step 4: Remove everything in the folder physical_db/
-            for file in os.listdir(physical_db_folder):
-                os.remove(os.path.join(physical_db_folder, file))
-
-            # Step 5: Rename and save the new file
-            df.to_csv(physical_db_file, index=False)
-            st.success(f"New physical database saved Successfully.")
-
-
-# # Step 7: Add button to download the existing physical_database.csv file
-# if os.path.exists(physical_db_file):
-#     st.subheader("Download the existing physical_database.csv file")
-#     with open(physical_db_file, "rb") as f:
-#         st.download_button(
-#             label="Download physical_database.csv",
-#             data=f,
-#             file_name="physical_database.csv",
-#         )
+st.title("Physical Database Verification")
 
-# Step 8: Add button to show the existing physical_database.csv file
-if os.path.exists(physical_db_file):
-    st.subheader("Show the existing physical_database file")
-    if st.button("Show actual physical database"):
-        df_existing = pd.read_csv(physical_db_file)
+if st.button("Show actual physical database"):
+    try:
+        df_existing = pd.read_csv(url)
         st.dataframe(df_existing)
-else:
-    st.warning("No physical_database.csv file found in the physical_db/ folder.")
+    except FileNotFoundError:
+        st.warning("No physical_database.csv file with the url")

utils/utils_vars.py

@@ -1,6 +1,8 @@
 import numpy as np
 import pandas as pd
 
+url = "https://raw.githubusercontent.com/DavMelchi/STORAGE/refs/heads/main/physical_db/physical_database.csv"
+
 
 def get_physical_db():
     """
@@ -11,7 +13,8 @@ def get_physical_db():
     Returns:
         pd.DataFrame: A DataFrame containing the filtered columns.
     """
-    physical = pd.read_csv(r"./physical_db/physical_database.csv")
+    # physical = pd.read_csv(r"./physical_db/physical_database.csv")
+    physical = pd.read_csv(url)
     physical = physical[["Code_Sector", "Azimut", "Longitude", "Latitude", "Hauteur"]]
     return physical