import streamlit as st
import os
import pandas as pd
import mysql.connector
# Fungsi untuk mendapatkan gambar sebagai base64
def get_image_as_base64(image_path):
import base64
with open(image_path, "rb") as img_file:
return base64.b64encode(img_file.read()).decode("utf-8")
# Fungsi untuk menampilkan navbar
def navbar():
current_page = st.session_state.get("page", "Home")
logo_path = os.path.join(os.path.dirname(__file__), "../asset/logo.png")
# Cek status login
if 'logged_in' in st.session_state and st.session_state['logged_in']:
login_button_text = "Logout"
login_button_link = "?page=Login&logout=true" # Tambahkan parameter logout
else:
login_button_text = "Logout"
login_button_link = "?page=Login"
st.markdown(
f"""
""",
unsafe_allow_html=True,
)
def connect_to_db():
try:
conn = mysql.connector.connect(
host=st.secrets["mysql"]["host"],
user=st.secrets["mysql"]["user"],
password=st.secrets["mysql"]["password"],
database=st.secrets["mysql"]["dbname"],
port=st.secrets["mysql"]["port"]
)
return conn
except mysql.connector.Error as e:
st.error(f"Koneksi ke database gagal: {e}")
return None
# Fungsi untuk mendapatkan data "All Data + Komentar"
def get_all_data_with_comments():
conn = connect_to_db()
if conn:
try:
query = """
SELECT
e.employee_id AS ID_Karyawan, e.domisili as Domisili, e.jenis_kelamin as Jenis_Kelamin,
e.join_date as Tanggal_Masuk, e.resign_date as Tanggal_Keluar, e.marriage_stat as Status_Pernikahan,
e.dependant as Jumlah_Tanggungan, e.education as Pendidikan, e.absent_90D as Absen_90Hari,
e.avg_time_work as Rata_Rata_Jam_Kerja, e.departemen as Departemen, e.position as Posisi,
e.income as Penghasilan, e.total_komp as Total_Komplain, e.job_satisfaction as Kepuasan_Kerja,
e.performance_rating as Kinerja_Kerja,
IFNULL(c.comment, 'Tidak ada Komplain') AS Isi_Komentar
FROM data_employee_db e
LEFT JOIN employee_comments c ON e.employee_id = c.employee_id
"""
df = pd.read_sql(query, conn)
return df
except mysql.connector.Error as e:
st.error(f"Terjadi kesalahan saat mengambil data: {e}")
return pd.DataFrame()
finally:
conn.close()
# Fungsi untuk mendapatkan data "History Prediksi"
def get_history_prediction():
conn = connect_to_db()
if conn:
try:
query = """SELECT employee_id as ID_Karyawan, hasil_prediksi_klasifikasi as Hasil_Prediksi_Retensi,
hasil_prediksi_regresi as Hasil_Prediksi_Lama_Kerja, waktu_prediksi as Waktu_Prediksi
FROM history_prediction"""
df = pd.read_sql(query, conn)
return df
except mysql.connector.Error as e:
st.error(f"Terjadi kesalahan saat mengambil data: {e}")
return pd.DataFrame()
finally:
conn.close()
def show_pimpinan_exploration():
navbar()
st.markdown("""
""", unsafe_allow_html=True)
st.markdown(
"""
Dashboard
""", unsafe_allow_html=True
)
# Menu Dropdown
menu_option = st.selectbox(
"Pilih data yang ingin ditampilkan:",
["Semua Data Karyawan", "Histori Prediksi"]
)
col1, col2 = st.columns(2)
with col1:
filter_employee_id = st.text_input("Filter berdasarkan Karyawan_ID", placeholder="Contoh: EM12345")
with col2:
filter_departemen = st.selectbox(
"Filter berdasarkan Departemen",
["Semua", "Engineering & IT", "Service & Support", "Creative & Design",
"Marketing", "Operations", "HR", "Finance & Accounting",
"Corporate Strategy & Communications"]
)
if menu_option == "Semua Data Karyawan":
df = get_all_data_with_comments()
if not df.empty:
# Terapkan filter
if filter_employee_id:
df = df[df['Karyawan_ID'].str.contains(filter_employee_id, na=False)]
if filter_departemen != "Semua":
df = df[df['Departemen'] == filter_departemen]
# Tampilkan data
st.dataframe(df)
# Tombol untuk download CSV
csv = df.to_csv(index=False)
st.download_button(
label="Download Tabel sebagai CSV",
data=csv,
file_name="all_data_with_comments.csv",
mime="text/csv",
)
else:
st.write("Tidak ada data yang tersedia.")
elif menu_option == "Histori Prediksi":
df = get_history_prediction()
if not df.empty:
# Terapkan filter
if filter_employee_id:
df = df[df['Karyawan_ID'].str.contains(filter_employee_id, na=False)]
# Tampilkan data
st.dataframe(df)
# Tombol untuk download CSV
csv = df.to_csv(index=False)
st.download_button(
label="Download Tabel sebagai CSV",
data=csv,
file_name="history_prediction.csv",
mime="text/csv",
)
else:
st.write("Tidak ada data yang tersedia.")
# Footer
st.markdown(
"""
""",
unsafe_allow_html=True
)
# Jalankan fungsi show_pimpinan_exploration
if __name__ == "__main__":
show_pimpinan_exploration()
})