diff --git a/__pycache__/main.cpython-314.pyc b/__pycache__/main.cpython-314.pyc new file mode 100644 index 000000000000..88544b6f9bc9 Binary files /dev/null and b/__pycache__/main.cpython-314.pyc differ diff --git a/content/code-security/reference/supply-chain-security/dependabot-options-reference.md b/content/code-security/reference/supply-chain-security/dependabot-options-reference.md index aba16f7acd76..3bec6e2fc10f 100644 --- a/content/code-security/reference/supply-chain-security/dependabot-options-reference.md +++ b/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
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 %} | diff --git a/data/reusables/dependabot/supported-package-managers.md b/data/reusables/dependabot/supported-package-managers.md index a5a626f523ec..dc9aa4f85ac6 100644 --- a/data/reusables/dependabot/supported-package-managers.md +++ b/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 %} | diff --git a/gnupg b/gnupg new file mode 160000 index 000000000000..76b47528526e --- /dev/null +++ b/gnupg @@ -0,0 +1 @@ +Subproject commit 76b47528526ecea4218b1d9aeaacf477fd51ebb6 diff --git a/main.py b/main.py new file mode 100644 index 000000000000..1f86c9f175e9 --- /dev/null +++ b/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("πŸ“± 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("πŸ” 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( + ["πŸ—ΊοΈ Peta Lokasi (Mapping)", "πŸ“Š Analisis Frekuensi", "πŸ“‹ 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}
Waktu: {timestamp}
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", + )