Copilot/fix dependabot docs pip versions

content/code-security/reference/supply-chain-security/dependabot-options-reference.md

@@ -569,11 +569,11 @@ Package manager | YAML value      | Supported versions |
 | {% ifversion dependabot-opentofu-support %} |
 | OpenTofu     | `opentofu`       | Not applicable     |
 | {% endif %} |
-| pip| `pip`            | v24.2          |
-| pip-compile | `pip`            | 7.4.1            |
+| pip| `pip`            | 24.2          |
+| pip-compile | `pip`            | 7.5.3            |
 | pipenv         | `pip`            | <= 2024.4.1    |
 | pnpm   | `npm`            | v7, v8 <br>v9, v10 (version updates only)    |
-| poetry         | `pip`            | v2               |
+| poetry         | `pip`            | 2.2.1               |
 | {% ifversion dependabot-pre-commit-support %} |
 | pre-commit | `pre-commit` | Not applicable |
 | {% endif %} |

data/reusables/dependabot/supported-package-managers.md

@@ -41,11 +41,11 @@ npm            | `npm`            | v7, v8, v9, v10, v11   | {% octicon "check"
 | {% ifversion dependabot-opentofu-support %} |
 [OpenTofu](#opentofu)    | `opentofu`      | Not applicable  | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} | Not applicable |
 | {% endif %} |
-[pip](#pip-and-pip-compile) | `pip`            | v21.1.2          | {% octicon "check" aria-label="Supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} |
-pipenv         | `pip`            | <= 2021-05-29    | {% octicon "check" aria-label="Supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} |
-[pip-compile](#pip-and-pip-compile) | `pip`            | 6.1.0            | {% octicon "check" aria-label="Supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} |
+[pip](#pip-and-pip-compile) | `pip`            | 24.2          | {% octicon "check" aria-label="Supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} |
+pipenv         | `pip`            | <= 2024.4.1    | {% octicon "check" aria-label="Supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} |
+[pip-compile](#pip-and-pip-compile) | `pip`            | 7.5.3            | {% octicon "check" aria-label="Supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} |
 | {% ifversion dependabot-updates-pnpmv9-support %}pnpm{% else %}[pnpm](#pnpm){% endif %}   | `npm`            | v7, v8, v9, v10      | {% octicon "check" aria-label="Supported" %} | {% octicon "check" aria-label="Supported" %} {% ifversion dependabot-updates-pnpmv9-support %}{% else %}(v7 and v8 only){% endif %}| {% octicon "check" aria-label="Supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} |
-poetry         | `pip`            | v1               | {% octicon "check" aria-label="Supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} |
+poetry         | `pip`            | 2.2.1               | {% octicon "check" aria-label="Supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} |
 | {% ifversion dependabot-pre-commit-support %} |
 [pre-commit](#pre-commit) | `pre-commit` | Not applicable | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} | {% octicon "x" aria-label="Not supported" %} | {% octicon "check" aria-label="Supported" %} | {% octicon "x" aria-label="Not supported" %} |
 | {% endif %} |

main.py

@@ -0,0 +1,138 @@
+import html
+
+import folium
+import pandas as pd
+import streamlit as st
+from streamlit_folium import st_folium
+
+st.set_page_config(page_title="Cell Dump Analyzer", layout="wide")
+
+st.title("📱 Cell Dump & CDR Analysis Tool")
+st.markdown(
+    "Unggah data *cell dump* (format CSV/Excel) untuk melakukan analisis lokasi, "
+    "target, dan pola komunikasi."
+)
+
+uploaded_file = st.file_uploader(
+    "Unggah File Cell Dump (CSV atau Excel)", type=["csv", "xlsx"]
+)
+
+if uploaded_file is None:
+    st.info("Silakan unggah file *cell dump* terlebih dahulu melalui panel di atas.")
+else:
+    try:
+        if uploaded_file.name.lower().endswith(".csv"):
+            df = pd.read_csv(uploaded_file)
+        else:
+            df = pd.read_excel(uploaded_file)
+    except (pd.errors.ParserError, ValueError, OSError) as error:
+        st.error(f"File tidak dapat dibaca: {error}")
+        st.stop()
+
+    if df.empty or len(df.columns) == 0:
+        st.warning("File tidak berisi data atau kolom yang dapat dianalisis.")
+        st.stop()
+
+    st.success(f"Berhasil memuat {len(df)} baris data.")
+
+    with st.expander("🔍 Lihat Preview Data Mentah"):
+        st.dataframe(df.head())
+
+    st.sidebar.header("Filter Analisis")
+    columns = df.columns.tolist()
+
+    msisdn_default = columns.index("MSISDN") if "MSISDN" in columns else 0
+    imei_default = columns.index("IMEI") if "IMEI" in columns else min(1, len(columns) - 1)
+    msisdn_col = st.sidebar.selectbox(
+        "Pilih Kolom Nomor (MSISDN)", columns, index=msisdn_default
+    )
+    imei_col = st.sidebar.selectbox("Pilih Kolom IMEI", columns, index=imei_default)
+    target_number = st.sidebar.text_input("Cari Nomor Target (MSISDN / IMEI):", "")
+
+    filtered_df = df.copy()
+    if target_number:
+        matching_number = (
+            filtered_df[msisdn_col].astype("string").str.contains(
+                target_number, case=False, na=False, regex=False
+            )
+            | filtered_df[imei_col].astype("string").str.contains(
+                target_number, case=False, na=False, regex=False
+            )
+        )
+        filtered_df = filtered_df[matching_number]
+
+    col1, col2, col3 = st.columns(3)
+    col1.metric("Total Record", len(filtered_df))
+    col2.metric("Target Unik (MSISDN)", filtered_df[msisdn_col].nunique())
+    col3.metric(
+        "Menara BTS Unik",
+        filtered_df["Tower_ID"].nunique() if "Tower_ID" in filtered_df else 0,
+    )
+
+    tab1, tab2, tab3 = st.tabs(
+        ["🗺️ Peta Lokasi (Mapping)", "📊 Analisis Frekuensi", "📋 Data Terfilter"]
+    )
+
+    with tab1:
+        st.subheader("Visualisasi Sebaran Lokasi BTS")
+        if {"Lat", "Long"}.issubset(filtered_df.columns):
+            locations = filtered_df.copy()
+            locations["Lat"] = pd.to_numeric(locations["Lat"], errors="coerce")
+            locations["Long"] = pd.to_numeric(locations["Long"], errors="coerce")
+            locations = locations.dropna(subset=["Lat", "Long"])
+            locations = locations[
+                locations["Lat"].between(-90, 90)
+                & locations["Long"].between(-180, 180)
+            ]
+
+            if locations.empty:
+                st.warning("Tidak ada koordinat valid untuk ditampilkan pada peta.")
+            else:
+                map_lat = locations["Lat"].mean()
+                map_lon = locations["Long"].mean()
+                map_view = folium.Map(location=[map_lat, map_lon], zoom_start=13)
+
+                for _, row in locations.iterrows():
+                    msisdn = html.escape(str(row.get(msisdn_col, "-")))
+                    timestamp = html.escape(str(row.get("Timestamp", "-")))
+                    tower_id = html.escape(str(row.get("Tower_ID", "-")))
+                    popup_text = (
+                        f"MSISDN: {msisdn}<br>Waktu: {timestamp}<br>BTS: {tower_id}"
+                    )
+                    folium.CircleMarker(
+                        location=[row["Lat"], row["Long"]],
+                        radius=5,
+                        color="red",
+                        fill=True,
+                        fill_color="red",
+                        popup=folium.Popup(popup_text, max_width=300),
+                    ).add_to(map_view)
+
+                st_folium(map_view, width=1000, height=500)
+        else:
+            st.warning(
+                "Kolom 'Lat' dan 'Long' tidak ditemukan dalam dataset untuk membuat peta."
+            )
+
+    with tab2:
+        st.subheader("Statistik Komunikasi & Aktivitas")
+        top_numbers = filtered_df[msisdn_col].value_counts().head(10)
+        st.write("**Nomor Paling Sering Muncul (Top 10):**")
+        st.bar_chart(top_numbers)
+
+        if "Tower_ID" in filtered_df.columns:
+            top_towers = filtered_df["Tower_ID"].value_counts().head(10)
+            st.write("**BTS Paling Sering Terhubung (Top 10):**")
+            st.bar_chart(top_towers)
+
+    with tab3:
+        st.subheader("Tabel Data Terfilter")
+        st.dataframe(filtered_df)
+
+        csv = filtered_df.to_csv(index=False).encode("utf-8")
+        st.download_button(
+            label="Unduh Data Terfilter (CSV)",
+            data=csv,
+            file_name="hasil_analisa_cell_dump.csv",
+            mime="text/csv",
+        )