Update data/data.py

data/data.py

@@ -1,206 +1,208 @@
-import os
-import requests
-import pandas as pd
-from plotly.subplots import make_subplots
-import threading
-import plotly
-import plotly.graph_objects as go
-from tqdm import tqdm
-from datetime import datetime
-import pytz
-import json
-import base64
-
-plotly.io.defaults.default_height = 720
-plotly.io.defaults.default_width = 1440
-
-GITHUB_TOKEN = os.getenv("GITHUB_TOKEN")
-OWNER = os.getenv("OWNER")
-REPO = os.getenv("REPO")
-
-HEADERS = {
-    "Authorization": f"token {GITHUB_TOKEN}",
-}
-
-FILEPATH = "data/data.json"
-FILEURL = f"https://api.github.com/repos/{OWNER}/{REPO}/contents/{FILEPATH}"
-
-def puf(filepath, content):
-    fileurl = f"https://api.github.com/repos/{OWNER}/{REPO}/contents/{filepath}"
-
-    response = requests.get(fileurl, headers=HEADERS)
-    is_update = response.status_code == 200
-    res = response.json()
-    sha = res["sha"] if is_update else None
-
-    if is_update and content == res: return
-
-    data = {
-        "message": "Update" if is_update else "Upload",
-        "content": base64.b64encode(
-            content.encode() if isinstance(content, str) else content
-        ).decode()
-    }
-    if is_update: data["sha"] = sha
-
-    resp = requests.put(fileurl, headers=HEADERS, json=data)
-    print("✅ Upload success" if resp.ok else f"❌ Error: {resp.text}")
-
-uf = lambda filepath, content: threading.Thread(target=puf, args=(filepath, content)).start()
-
-rf = lambda: json.loads(base64.b64decode(response.json()['content']).decode() if (response := requests.get(FILEURL, headers=HEADERS)).status_code == 200 else "{}")
-ir = lambda d=None: (d or rf() != {})
-
-lhs = [7, 15, 30, 60, 90, 120, 240, 365, 1000, 1440]
-
-header_fill_color = [
-    "#d9d9d9",  # No - abu netral
-    "#add8e6",  # Tgl Beli - biru muda (tanggal = waktu)
-    "#9be7a3",  # Harga Beli/g - hijau terang (uang masuk)
-    "#fdd9a0",  # Berat - oranye terang (fisik)
-    "#f4b6c2",  # Modal - merah muda (biaya awal)
-    "#87cefa",  # Tgl Jual - biru langit (tanggal = waktu)
-    "#b2fab4",  # Harga Jual/g - hijau pastel (uang keluar / potensi untung)
-    "#fff5ba",  # Nilai Jual - kuning pastel (nilai total)
-    "#ffadc1",  # Profit/Loss - merah muda (untung/rugi)
-]
-
-cells_fill_color = [
-    "#eeeeee",  # No - abu netral lebih lembut
-    "#e6f2ff",  # Tgl Beli
-    "#d5fbe3",  # Harga Beli/g
-    "#ffecd9",  # Berat
-    "#ffe0e8",  # Modal
-    "#e0f2ff",  # Tgl Jual
-    "#dcfce7",  # Harga Jual/g
-    "#fff9db",  # Nilai Jual
-    "#ffe6ef",  # Profit/Loss
-]
-
-data = None
-data_dir = "data"
-data_path = os.path.join(data_dir, "data.json")
-os.makedirs(data_dir, exist_ok=True)
-
-makeslcy = lambda x: -0.575 - (7 - x) * (0.575 / 7) * 5
-
-data = None
-
-def ambil_data_emas():
-    later_day = False
-    jam_sudah_cukup = False
-
-    data = data or rf()
-    data_is_ready = ir(data) # os.path.exists(data_path)
-
-    if data_is_ready:
-        # with open(data_path, "r") as f: data = json.load(f)
-
-        # Ambil tanggal terakhir dari lastUpdate
-        last_updates = [pd.to_datetime(d["lastUpdate"]) for d in data["data"]["priceList"]]
-        last_update_date = max(last_updates)
-
-        # Waktu sekarang
-        now = datetime.now()
-
-        # Periksa apakah tanggal hari ini lebih baru dari tanggal terakhir
-        later_day = now.date() > last_update_date.date()
-
-        # Periksa apakah jam sudah lewat dari jam 11 pagi
-        jam_sudah_cukup = now.hour >= 11
-
-    data_is_change = (later_day and jam_sudah_cukup) or not data_is_ready
-    print("data_is_change", data_is_change)
-
-    # Jika belum ada data, atau sudah lewat tanggal dan cukup jam
-    if data_is_change:
-        url = f"https://sahabat.pegadaian.co.id/gold/prices/chart?interval={max(lhs)}&isRequest=true"
-        response = requests.get(url)
-        if response.status_code != 200:
-            raise Exception("Gagal mengambil data harga dari Pegadaian.")
-
-        data = response.json()
-        
-        uf(FILEPATH, json.dumps(data, indent=4))
-        with open(data_path, "w") as f:
-            json.dump(data, f, indent=4)
-
-    return data
-
-fred = {
-    60: "D",
-    90: "2D",
-    180: "3D",
-    360: "4D",
-    480: "5D",
-    1000: "3W",
-    2500: "6W",
-    "Default": "9W"
-}
-
-frek = list(fred.keys())
-frev = list(fred.values())
-
-default_hari = 90
-
-def get_freq(lama_hari):
-    if len(frek) !=len(frev):
-        raise Exception("Len Frek !=Len Frev")
-    
-    freq = frev[-1]
-    for i in range(len(frek)):
-        if frek[i] !=frek[-1] and lama_hari <=int(frek[i]) and lama_hari >=int(frek[i-1] if frek[i-1] !=frek[-1] else 0):
-            freq = frev[i]
-            break
-
-    return freq
-
-# Data pembelian
-tanggal_beli = [
-    pd.Timestamp(d) for d in [
-        # "2025-04-10",
-        "2025-04-14",
-        "2025-06-04",
-        "2025-06-08",
-        "2025-06-10"
-    ]
-]
-berat_gram = [
-    # 1,
-    0.0101,
-    1.0817,
-    0.2182,
-    0.0816,
-]
-uang_awal = [
-    # 1_671_000,
-    18_648,
-    2_000_000,
-    400_000,
-    150_000,
-]
-harga_beli_dan_jual_pada_saat_membeli = [
-    [1_863_000, 1_797_000], [1_834_000, 1_769_000], [1_840_000, 1_775_000]
-]
-harga_beli_dan_jual_saat_ini = [1_840_000, 1_775_000]
-
-tglf = lambda tgl: pd.to_datetime(tgl, format='%Y-%m-%d %H:%M:%S')
-
-cwta = [2.5, 6.6, 11.75, 7, 10, 6.6, 12.5, 16.6, 11]
-
-misy = "-"
-
-data = ambil_data_emas()
-
-# Ambil timestamp string dari data
-timestamp_utc = data["timestamp"]
-
-# Parsing ISO format ke datetime object (timezone-aware UTC)
-dt_utc = datetime.fromisoformat(timestamp_utc.replace("Z", "+00:00"))
-
-# Konversi ke zona waktu WIB (UTC+7)
-wib = pytz.timezone("Asia/Jakarta")
-dt_wib = dt_utc.astimezone(wib)
-
-# Format menjadi string lokal
+import os
+import requests
+import pandas as pd
+from plotly.subplots import make_subplots
+import threading
+import plotly
+import plotly.graph_objects as go
+from tqdm import tqdm
+from datetime import datetime
+import pytz
+import json
+import base64
+
+plotly.io.defaults.default_height = 720
+plotly.io.defaults.default_width = 1440
+
+GITHUB_TOKEN = os.getenv("GITHUB_TOKEN")
+OWNER = os.getenv("OWNER")
+REPO = os.getenv("REPO")
+
+HEADERS = {
+    "Authorization": f"token {GITHUB_TOKEN}",
+}
+
+FILEPATH = "data/data.json"
+FILEURL = f"https://api.github.com/repos/{OWNER}/{REPO}/contents/{FILEPATH}"
+
+def puf(filepath, content):
+    fileurl = f"https://api.github.com/repos/{OWNER}/{REPO}/contents/{filepath}"
+
+    response = requests.get(fileurl, headers=HEADERS)
+    is_update = response.status_code == 200
+    res = response.json()
+    sha = res["sha"] if is_update else None
+
+    if is_update and content == res: return
+
+    data = {
+        "message": "Update" if is_update else "Upload",
+        "content": base64.b64encode(
+            content.encode() if isinstance(content, str) else content
+        ).decode()
+    }
+    if is_update: data["sha"] = sha
+
+    resp = requests.put(fileurl, headers=HEADERS, json=data)
+    print("✅ Upload success" if resp.ok else f"❌ Error: {resp.text}")
+
+uf = lambda filepath, content: threading.Thread(target=puf, args=(filepath, content)).start()
+
+rf = lambda: json.loads(base64.b64decode(response.json()['content']).decode() if (response := requests.get(FILEURL, headers=HEADERS)).status_code == 200 else "{}")
+ir = lambda d=None: (d or rf() != {})
+
+lhs = [7, 15, 30, 60, 90, 120, 240, 365, 1000, 1440]
+
+header_fill_color = [
+    "#d9d9d9",  # No - abu netral
+    "#add8e6",  # Tgl Beli - biru muda (tanggal = waktu)
+    "#9be7a3",  # Harga Beli/g - hijau terang (uang masuk)
+    "#fdd9a0",  # Berat - oranye terang (fisik)
+    "#f4b6c2",  # Modal - merah muda (biaya awal)
+    "#87cefa",  # Tgl Jual - biru langit (tanggal = waktu)
+    "#b2fab4",  # Harga Jual/g - hijau pastel (uang keluar / potensi untung)
+    "#fff5ba",  # Nilai Jual - kuning pastel (nilai total)
+    "#ffadc1",  # Profit/Loss - merah muda (untung/rugi)
+]
+
+cells_fill_color = [
+    "#eeeeee",  # No - abu netral lebih lembut
+    "#e6f2ff",  # Tgl Beli
+    "#d5fbe3",  # Harga Beli/g
+    "#ffecd9",  # Berat
+    "#ffe0e8",  # Modal
+    "#e0f2ff",  # Tgl Jual
+    "#dcfce7",  # Harga Jual/g
+    "#fff9db",  # Nilai Jual
+    "#ffe6ef",  # Profit/Loss
+]
+
+data = None
+data_dir = "data"
+data_path = os.path.join(data_dir, "data.json")
+os.makedirs(data_dir, exist_ok=True)
+
+makeslcy = lambda x: -0.575 - (7 - x) * (0.575 / 7) * 5
+
+data = None
+
+def ambil_data_emas():
+    global data
+    
+    later_day = False
+    jam_sudah_cukup = False
+
+    data = data or rf()
+    data_is_ready = ir(data) # os.path.exists(data_path)
+
+    if data_is_ready:
+        # with open(data_path, "r") as f: data = json.load(f)
+
+        # Ambil tanggal terakhir dari lastUpdate
+        last_updates = [pd.to_datetime(d["lastUpdate"]) for d in data["data"]["priceList"]]
+        last_update_date = max(last_updates)
+
+        # Waktu sekarang
+        now = datetime.now()
+
+        # Periksa apakah tanggal hari ini lebih baru dari tanggal terakhir
+        later_day = now.date() > last_update_date.date()
+
+        # Periksa apakah jam sudah lewat dari jam 11 pagi
+        jam_sudah_cukup = now.hour >= 11
+
+    data_is_change = (later_day and jam_sudah_cukup) or not data_is_ready
+    print("data_is_change", data_is_change)
+
+    # Jika belum ada data, atau sudah lewat tanggal dan cukup jam
+    if data_is_change:
+        url = f"https://sahabat.pegadaian.co.id/gold/prices/chart?interval={max(lhs)}&isRequest=true"
+        response = requests.get(url)
+        if response.status_code != 200:
+            raise Exception("Gagal mengambil data harga dari Pegadaian.")
+
+        data = response.json()
+        
+        uf(FILEPATH, json.dumps(data, indent=4))
+        with open(data_path, "w") as f:
+            json.dump(data, f, indent=4)
+
+    return data
+
+fred = {
+    60: "D",
+    90: "2D",
+    180: "3D",
+    360: "4D",
+    480: "5D",
+    1000: "3W",
+    2500: "6W",
+    "Default": "9W"
+}
+
+frek = list(fred.keys())
+frev = list(fred.values())
+
+default_hari = 90
+
+def get_freq(lama_hari):
+    if len(frek) !=len(frev):
+        raise Exception("Len Frek !=Len Frev")
+    
+    freq = frev[-1]
+    for i in range(len(frek)):
+        if frek[i] !=frek[-1] and lama_hari <=int(frek[i]) and lama_hari >=int(frek[i-1] if frek[i-1] !=frek[-1] else 0):
+            freq = frev[i]
+            break
+
+    return freq
+
+# Data pembelian
+tanggal_beli = [
+    pd.Timestamp(d) for d in [
+        # "2025-04-10",
+        "2025-04-14",
+        "2025-06-04",
+        "2025-06-08",
+        "2025-06-10"
+    ]
+]
+berat_gram = [
+    # 1,
+    0.0101,
+    1.0817,
+    0.2182,
+    0.0816,
+]
+uang_awal = [
+    # 1_671_000,
+    18_648,
+    2_000_000,
+    400_000,
+    150_000,
+]
+harga_beli_dan_jual_pada_saat_membeli = [
+    [1_863_000, 1_797_000], [1_834_000, 1_769_000], [1_840_000, 1_775_000]
+]
+harga_beli_dan_jual_saat_ini = [1_840_000, 1_775_000]
+
+tglf = lambda tgl: pd.to_datetime(tgl, format='%Y-%m-%d %H:%M:%S')
+
+cwta = [2.5, 6.6, 11.75, 7, 10, 6.6, 12.5, 16.6, 11]
+
+misy = "-"
+
+data = ambil_data_emas()
+
+# Ambil timestamp string dari data
+timestamp_utc = data["timestamp"]
+
+# Parsing ISO format ke datetime object (timezone-aware UTC)
+dt_utc = datetime.fromisoformat(timestamp_utc.replace("Z", "+00:00"))
+
+# Konversi ke zona waktu WIB (UTC+7)
+wib = pytz.timezone("Asia/Jakarta")
+dt_wib = dt_utc.astimezone(wib)
+
+# Format menjadi string lokal
 timestamp_lokal = dt_wib.strftime("%d %B %Y, %H:%M WIB")