Upload 13 files

data/data.py

@@ -2,6 +2,7 @@ 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
@@ -24,7 +25,7 @@ HEADERS = {
 FILEPATH = "data/data.json"
 FILEURL = f"https://api.github.com/repos/{OWNER}/{REPO}/contents/{FILEPATH}"
 
-def uf(filepath, content):
+def puf(filepath, content):
     fileurl = f"https://api.github.com/repos/{OWNER}/{REPO}/contents/{filepath}"
 
     response = requests.get(fileurl, headers=HEADERS)
@@ -45,9 +46,10 @@ def uf(filepath, content):
     resp = requests.put(fileurl, headers=HEADERS, json=data)
     print("✅ Upload success" if resp.ok else f"❌ Error: {resp.text}")
 
-rf = lambda: base64.b64decode(response.json()['content']).decode() if (response := requests.get(FILEURL, headers=HEADERS)).status_code == 200 else "{}"
+uf = lambda filepath, content: threading.Thread(target=puf, args=(filepath, content)).start()
 
-ir = lambda: json.loads(rf()) != {}
+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]
 
@@ -82,15 +84,17 @@ os.makedirs(data_dir, exist_ok=True)
 
 makeslcy = lambda x: -0.575 - (7 - x) * (0.575 / 7) * 5
 
+data = None
+
 def ambil_data_emas():
-    data_is_ready = ir() # os.path.exists(data_path)
-    data_is_change = False
     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)
-        data = json.loads(rf())
 
         # Ambil tanggal terakhir dari lastUpdate
         last_updates = [pd.to_datetime(d["lastUpdate"]) for d in data["data"]["priceList"]]

data/dynamic.py

@@ -1,6 +1,8 @@
 from data.data import *
 
-def generate(d_h=default_hari, is_img=False):
+data = ambil_data_emas()
+
+def generate(d_h=default_hari, is_img=False, data = ambil_data_emas()):
     fig = go.Figure()
 
     df = pd.DataFrame(data['data']['priceList'])[::-1][:max(lhs)]

data/static.py

@@ -1,6 +1,6 @@
 from data.data import *
 
-def generate(lama_hari, is_img=False):
+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