Azmi
/
TIF_E41212325
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

new

This commit is contained in:
Azmikun1 2025-12-17 15:13:06 +07:00
parent 956fffe4c5
commit 61e81938e6
1 changed files with 22 additions and 24 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

46
app.py
View File

@ -86,10 +86,7 @@ html, body, [class*="css"] { font-family: "Inter", "DejaVu Sans", sans-serif; }
@st.cache_data(ttl="1h") @st.cache_data(ttl="1h")
def load_eth_data(): def load_eth_data():
""" """
Metode Hybrid (Tumpuk Data): Metode Hybrid (Tumpuk Data) dengan Debug Info.
1. Baca Data Lama dari CSV.
2. Download Data Baru (dari tanggal terakhir CSV sampai Hari Ini).
3. Gabung (Concat) tanpa mengubah/mengisi data kosong.
""" """
ticker = "ETH-USD" ticker = "ETH-USD"
df_final = None df_final = None
@ -104,29 +101,33 @@ def load_eth_data():
# Standarisasi kolom Date # Standarisasi kolom Date
if "Date" not in df_base.columns: if "Date" not in df_base.columns:
# Cek kolom pertama
df_base = df_base.rename(columns={df_base.columns[0]: "Date"}) df_base = df_base.rename(columns={df_base.columns[0]: "Date"})
df_base["Date"] = pd.to_datetime(df_base["Date"]).dt.tz_localize(None) df_base["Date"] = pd.to_datetime(df_base["Date"]).dt.tz_localize(None)
except FileNotFoundError: except FileNotFoundError:
# Jika tidak ada file, buat dataframe kosong
df_base = pd.DataFrame(columns=["Date", "Open", "High", "Low", "Close", "Volume"]) df_base = pd.DataFrame(columns=["Date", "Open", "High", "Low", "Close", "Volume"])
# --- BAGIAN 2: DOWNLOAD DATA BARU (INCREMENTAL) --- # --- BAGIAN 2: HITUNG TANGGAL DOWNLOAD ---
today = date.today() today = date.today()
# Tentukan tanggal mulai download (Lanjutkan dari data terakhir di CSV)
if not df_base.empty: if not df_base.empty:
last_date_csv = df_base["Date"].max() last_date_csv = df_base["Date"].max()
start_download = last_date_csv + timedelta(days=1) start_download = last_date_csv + timedelta(days=1)
else: else:
start_download = pd.to_datetime("2024-01-01") start_download = pd.to_datetime("2020-01-01")
last_date_csv = "Kosong"
# Hanya download jika ada selisih hari # DEBUG INFO DI SIDEBAR (Supaya kelihatan prosesnya)
with st.sidebar:
st.write(f"📂 **Status Data:**")
st.write(f"- Terakhir di CSV: `{str(last_date_csv).split()[0]}`")
st.write(f"- Target Download: `{str(start_download.date())}` s.d `{today}`")
# --- BAGIAN 3: DOWNLOAD & GABUNG ---
# Hanya download jika tanggal download <= hari ini
if start_download.date() <= today: if start_download.date() <= today:
try: try:
# Download dari tanggal terakhir CSV s/d Hari Ini
df_new = yf.download( df_new = yf.download(
ticker, ticker,
start=start_download, start=start_download,
@ -139,48 +140,45 @@ def load_eth_data():
if df_new is not None and not df_new.empty: if df_new is not None and not df_new.empty:
df_new = df_new.reset_index() df_new = df_new.reset_index()
# Rapikan kolom (Hapus MultiIndex jika ada) # Rapikan kolom
new_cols = [] new_cols = []
for col in df_new.columns: for col in df_new.columns:
col_name = col[0] if isinstance(col, tuple) else str(col) col_name = col[0] if isinstance(col, tuple) else str(col)
new_cols.append(col_name) new_cols.append(col_name)
df_new.columns = new_cols df_new.columns = new_cols
# Pastikan kolom Date benar
if 'Date' not in df_new.columns: if 'Date' not in df_new.columns:
df_new = df_new.rename(columns={df_new.columns[0]: 'Date'}) df_new = df_new.rename(columns={df_new.columns[0]: 'Date'})
df_new['Date'] = pd.to_datetime(df_new['Date']).dt.tz_localize(None) df_new['Date'] = pd.to_datetime(df_new['Date']).dt.tz_localize(None)
# --- BAGIAN 3: GABUNGKAN (CONCAT) --- # INFO DEBUG
# Tumpuk data lama (Base) dengan data baru (New) st.sidebar.success(f"✅ Berhasil download {len(df_new)} hari baru!")
# GABUNGKAN
df_final = pd.concat([df_base, df_new], ignore_index=True) df_final = pd.concat([df_base, df_new], ignore_index=True)
else: else:
# Jika download kosong (misal libur/gagal), pakai data lama saja st.sidebar.warning("⚠️ Download dijalankan tapi data kosong (Mungkin libur/belum close).")
df_final = df_base df_final = df_base
except Exception as e: except Exception as e:
print(f"Gagal update online: {e}") st.sidebar.error(f"❌ Gagal update online: {e}")
df_final = df_base # Jika error, tetap tampilkan data lama (Safety Net) df_final = df_base
else: else:
# Data CSV sudah paling update st.sidebar.info("✅ Data CSV sudah paling update.")
df_final = df_base df_final = df_base
# --- FINALISASI --- # --- FINALISASI ---
if df_final is not None and not df_final.empty: if df_final is not None and not df_final.empty:
# Hapus duplikat (jika ada irisan tanggal)
df_final = df_final.drop_duplicates(subset="Date", keep="last") df_final = df_final.drop_duplicates(subset="Date", keep="last")
# Urutkan berdasarkan tanggal
df_final = df_final.sort_values("Date").reset_index(drop=True) df_final = df_final.sort_values("Date").reset_index(drop=True)
# Filter hanya kolom standar (buang kolom sampah)
target_cols = ['Date', 'Open', 'High', 'Low', 'Close', 'Volume'] target_cols = ['Date', 'Open', 'High', 'Low', 'Close', 'Volume']
available = [c for c in target_cols if c in df_final.columns] available = [c for c in target_cols if c in df_final.columns]
df_final = df_final[available] df_final = df_final[available]
return df_final, "mixed" # Status mixed (Gabungan) return df_final, "mixed"
return None, "error" return None, "error"