data/static.py

from data.data import *

def generate(lama_hari, is_img=False, data = ambil_data_emas()):
    lama_hari = lama_hari if lama_hari >= lhs[0] else lhs[0]
    
    # Preprocessing DataFrame
    df = pd.DataFrame(data['data']['priceList'])[::-1][:lama_hari]
    df['hargaBeli'] = pd.to_numeric(df['hargaBeli'])
    df['hargaJual'] = pd.to_numeric(df['hargaJual'])
    df['lastUpdate'] = tglf(df["lastUpdate"])
    df = df.sort_values('lastUpdate').reset_index(drop=True)

    df.rename(columns={
        "hargaBeli": "hargaJual",
        "hargaJual": "hargaBeli"
    }, inplace=True)

    hasil = []

    df["hargaBeli"] *=100
    df["hargaJual"] *=100

    mindf = min(df["lastUpdate"])

    isstb = []
    isstbt = []
    validTB = []

    harga_jual_sekarang = df.iloc[-1]['hargaJual']

    for i, tb in tqdm(enumerate(tanggal_beli)):
        idx = (df['lastUpdate'] - tb).abs().idxmin()
        row = df.loc[idx]
        harga_beli = row['hargaBeli']
        harga_jual = row['hargaJual']
        tanggal_beli_riil = row['lastUpdate'].date()
        if tb >=mindf:
            validTB.append(tb)
            tanggal_jual = df.iloc[-1]['lastUpdate'].date()
            nilai_jual = harga_jual_sekarang * berat_gram[i]
            profit = nilai_jual - uang_awal[i]

            hasil.append({
                "No": (i - len(isstb) + len(isstbt)) + 1,
                "TglB": tanggal_beli_riil,
                "HBg": harga_beli,
                "g": berat_gram[i],
                "M": uang_awal[i],
                "TglJ": tanggal_jual,
                "HJg": harga_jual,
                "NJ": nilai_jual,
                "PL": profit
            })
            if len(isstb) >=1:
                isstb.append(True)
                isstbt.append(True)
            continue
        
        isstb.append(True)

    # Tambahkan total
    total_berat = sum([h["g"] for h in hasil])
    total_modal = sum([h["M"] for h in hasil])
    total_nilai_jual = sum([h["NJ"] for h in hasil])
    total_profit = sum([h["PL"] for h in hasil])

    df.rename(columns={
        "hargaBeli": "Harga Beli",
        "hargaJual": "Harga Jual"
    }, inplace=True)

    # --- Tabel Transaksi ---
    header = [
        "No",
        "Tgl Beli",
        "Harga Beli/g (Rp)",
        "Berat (g)",
        "Modal (Rp)",
        "Tgl Jual",
        "Harga Jual/g (Rp)",
        f"Nilai Jual Rp{harga_jual_sekarang:,.0f}/g",
        "Profit/Loss (Rp)"
    ]

    profit_loss_values = [row['PL'] for row in hasil] + [total_profit]

    cells = [
        [row["No"] for row in hasil],
        [row["TglB"].strftime("%Y-%m-%d") for row in hasil],
        [f"Rp {row['HBg']:,.0f}" for row in hasil],
        [f"{row['g']:.4f} g" for row in hasil],
        [f"Rp {row['M']:,.0f}" for row in hasil],
        [row["TglJ"].strftime("%Y-%m-%d") for row in hasil],
        [f"Rp {row['HJg']:,.0f}" for row in hasil],
        [f"Rp {row['NJ']:,.0f}" for row in hasil],
        [f"Rp {row['PL']:,.0f}" for row in hasil],
    ]

    # Tambahkan total ke akhir tabel
    for i, val in enumerate([
        "Total",
        misy*len(cells[1][0])+misy*(round(len(cells[1][0])/7.5)),
        misy*len(cells[2][0])+misy*(round(len(cells[2][0])/7.5)),
        f"{total_berat:.4f} g",
        f"Rp {total_modal:,.0f}",
        misy*len(cells[5][0])+misy*(round(len(cells[5][0])/7.5)),
        misy*len(cells[6][0])+misy*(round(len(cells[6][0])/7.5)),
        f"Rp {total_nilai_jual:,.0f}",
        f"Rp {total_profit:,.0f}"
    ]):
        cells[i].append(val)

    lch = len(cells[0]) + 1

    profit_loss_header_color = "#b3f3b3" if all(v > 0 for v in profit_loss_values) else (
        "#f7b3b3" if all(v < 0 for v in profit_loss_values) else "#ffd6e7"
    )

    profit_loss_cell_colors = [
        "#d4fcd4" if v > 0 else "#ffd6e0" if v < 0 else "#ffffff"
        for v in profit_loss_values
    ]

    header_fill_color[-1] = profit_loss_header_color
    cells_fill_color[-1] = profit_loss_cell_colors

    # Buat figure subplot dengan 2 baris: [0]=tabel, [1]=grafik
    fig = make_subplots(
        rows=2, cols=1,
        shared_xaxes=False,
        vertical_spacing=0.1,
        row_heights=[(lch if lch >= 5 else 5) / 10, 0.5],
        specs=[[{"type": "table"}], [{"type": "scatter"}]]
    )

    # Tambahkan tabel transaksi emas
    fig.add_trace(go.Table(
        header=dict(values=header, fill_color=header_fill_color, align='center'),
        cells=dict(values=cells, fill_color=cells_fill_color, align='center'),
        columnwidth=cwta
    ), row=1, col=1)

    # Tambahkan garis harga beli & jual
    fig.add_trace(go.Scatter(
        x=df['lastUpdate'], y=df['Harga Beli'], name="Harga Beli", line=dict(color='green')
    ), row=2, col=1)
    fig.add_trace(go.Scatter(
        x=df['lastUpdate'], y=df['Harga Jual'], name="Harga Jual", line=dict(color='red')
    ), row=2, col=1)

    lbp = None
    
    # Titik beli
    for i, tb in tqdm(enumerate(validTB)):
        lbp = "top" if i % 2 == 0 else "bottom"
        fig.add_trace(go.Scatter(
            x=[tb], y=[hasil[i]["HBg"]],
            mode='markers+text',
            name=f'Transaksi ke-{i+1} (Beli)',
            text=[# f'Beli ke-{i+1}<br>(Rp {hasil[i]["M"]:,.0f})' if lama_hari <= 80 else
                f'B{i+1}'],
            textposition=f'{"top" if i % 2 == 0 else "bottom"} center',
            # textfont=dict(size=10),
            marker=dict(color='green', size=10)
        ), row=2, col=1)
        continue

    # Titik jual terakhir
    fig.add_trace(go.Scatter(
        x=[df.iloc[-1]['lastUpdate']], y=[df.iloc[-1]['Harga Jual']],
        mode='markers+text',
        name='Harga Jual Terakhir',
        text=[# 'Jual Sekarang' if lama_hari <= 60 else
            'JS'],
        textposition=f'{"top" if lbp == "bottom" else lbp} center',
        # textfont=dict(size=10),
        marker=dict(color='red', size=10)
    ), row=2, col=1)

    freq = get_freq(lama_hari)
    
    # buat daftar tanggal sebagai tick values
    tickvals = pd.date_range(
        start=df['lastUpdate'].min().normalize(),
        end=df['lastUpdate'].max().normalize(),
        freq=freq
    )

    # Layout akhir
    fig.update_layout(
        title=dict(
            text=f"📊 Tabel dan Grafik Harga Emas Pegadaian Digital per Gram ({lama_hari} Hari Terakhir)<br><br><sup>Diambil pada {timestamp_lokal} dengan frekuensi {freq}</sup>",
            x=0.5
        ),
        xaxis=dict(
            rangeslider=dict(visible=True),
            type="date",
            tickvals=tickvals,
            tickformat="%Y-%m-%d",
            tickangle=-90,
        ),
        yaxis=dict(
            title="Harga per Gram",
            tickprefix="Rp ",
            tickformat=",",
            range=[min(df["Harga Jual"]) - 100_000, max(df["Harga Beli"]) + 100_000],
        )
    )

    # terapkan ke sumbu x di subplot ke-2 (grafik)
    fig.update_xaxes(
        tickvals=tickvals,
        tickformat="%Y-%m-%d",
        tickangle=-90,
        row=2, col=1
    )

    # Format Rupiah pada sumbu Y
    fig.update_yaxes(
        tickprefix="Rp ",
        tickformat=",",  # koma ribuan
        row=2, col=1
    )

    # fig.show()

    exts_img = ["png", "jpg", "jpeg", "webp", "svg", "pdf"]
    exts = ["html"] + exts_img

    filename_base = "grafik/pegadaian_digital/" + f"{lama_hari}/" + "hasil"
    
    fitq = tqdm(exts, desc="Menyimpan grafik")
    for ext in fitq:
        filepath = f"{filename_base}.{ext}"
        fitq.set_description(f"Saving {ext.upper()}")

        try:
            d = (
                fig.to_html(full_html=False, include_plotlyjs='cdn')
                if ext == "html"
                else fig.to_image(format=ext)
            )
            uf(filepath, d)
        except Exception as e:
            print(f"Gagal menyimpan {ext}: {e}")

    print("is_img", is_img)

    return fig.to_image("svg").decode() if is_img else fig.to_html(
        # full_html=False, include_plotlyjs='cdn'
    )