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calculate.py

@@ -61,6 +61,6 @@ def static_page(): return f"""<a href="/">← Kembali</a>{sg(90, request.args.ge
 def static_pages(days): return f"""<a href="/">← Kembali</a>{sg(days, request.args.get("img"))}"""
 
 @app.route("/dynamic")
-def dynamic_page(): return f"""<a href="/">← Kembali</a>{dg(request.args.get("img"))}"""
+def dynamic_page(): return f"""<a href="/">← Kembali</a>{dg(request.args.get("d"), request.args.get("img"))}"""
 
 if __name__ == "__main__": app.run(host=os.getenv("HOST") or "0.0.0.0", port=os.getenv("PORT") or 8501, debug=True)

data/dynamic.py

@@ -1,6 +1,6 @@
 from data.data import *
 
-def generate(is_img=False):
+def generate(d_h=default_hari, is_img=False):
     fig = go.Figure()
 
     df = pd.DataFrame(data['data']['priceList'])[::-1][:max(lhs)]
@@ -40,7 +40,7 @@ def generate(is_img=False):
         htd = int((x_rng[1] - x_rng[0]).days + 1)
         htd_list["btn" if isBtn else "ss"].append(htd)
 
-        default_idx["btn" if isBtn else "ss"] = int(i if htd == default_hari else default_idx["btn" if isBtn else "ss"])
+        default_idx["btn" if isBtn else "ss"] = int(i if htd == d_h else default_idx["btn" if isBtn else "ss"])
 
         freq = get_freq(htd)
         freq_list["btn" if isBtn else "ss"].append(freq)
@@ -162,19 +162,19 @@ def generate(is_img=False):
             header=dict(values=header, fill_color=header_fill_color, align='center'),
             cells=dict(values=cells, fill_color=cells_fill_color, align='center'),
             columnwidth=cwta,
-            visible=(hari == default_hari) if not isBtn else False
+            visible=(hari == d_h) if not isBtn else False
         )
 
         # Harga Beli
         t1 = go.Scatter(
             x=dfc['lastUpdate'], y=dfc['Harga Beli'],
             name='Harga Beli', line=dict(color='green'),
-            visible=(hari==default_hari) if not isBtn else False
+            visible=(hari==d_h) if not isBtn else False
         )
         t2 = go.Scatter(
             x=dfc['lastUpdate'], y=dfc['Harga Jual'],
             name='Harga Jual', line=dict(color='red'),
-            visible=(hari==default_hari) if not isBtn else False
+            visible=(hari==d_h) if not isBtn else False
         )
         
         # titik beli
@@ -195,7 +195,7 @@ def generate(is_img=False):
                     textposition=f'{lbp} center',
                     # textfont=dict(size=10),
                     marker=dict(color='green', size=10),
-                    visible=(hari==default_hari) if not isBtn else False
+                    visible=(hari==d_h) if not isBtn else False
                 )
             )
             slyc += 1
@@ -212,7 +212,7 @@ def generate(is_img=False):
             textposition=f'{"top" if lbp == "bottom" else lbp} center',
             # textfont=dict(size=10),
             marker=dict(color='red', size=10),
-            visible=(hari==default_hari) if not isBtn else False
+            visible=(hari==d_h) if not isBtn else False
         )
         
         # kumpulkan semua trace untuk opsi ini
@@ -290,7 +290,7 @@ def generate(is_img=False):
         for j in range(option_sizes["ss"][i]):
             idx = start_ss + j
             vis[idx] = True
-            fig.data[idx].visible = (hari == default_hari)
+            fig.data[idx].visible = (hari == d_h)
 
         slider_steps.append(generateLMA(
             vis, tickvals_list["ss"][i], x_rng_list["ss"][i], htd_list["ss"][i],
@@ -306,7 +306,7 @@ def generate(is_img=False):
         for j in range(option_sizes["btn"][i]):
             idx = start_btn + j
             vis[idx] = True
-            # fig.data[idx].visible = (hari == default_hari)
+            # fig.data[idx].visible = (hari == d_h)
 
         buttons.append(generateLMA(
             vis, tickvals_list["btn"][i], x_rng_list["btn"][i], htd_list["btn"][i],
@@ -314,7 +314,7 @@ def generate(is_img=False):
         ))
         start_btn +=option_sizes["btn"][i]
 
-    cut = df['lastUpdate'].max() - pd.Timedelta(days=default_hari)
+    cut = df['lastUpdate'].max() - pd.Timedelta(days=d_h)
     dfc = df[df['lastUpdate'] > cut]
     x_rng = [dfc['lastUpdate'].min(), dfc['lastUpdate'].max()]
     slyc = slyc_list["btn"][default_idx["btn"]]