Update bhavcopy_html.py

bhavcopy_html.py

@@ -1,7 +1,8 @@
 import pandas as pd
 import datetime
 from nsepython import *
-from backblaze import upload_file,read_file
+from backblaze import upload_file
+
 def build_bhavcopy_html(date_str):
     # -------------------------------------------------------
     # 1) Validate Date
@@ -15,32 +16,24 @@ def build_bhavcopy_html(date_str):
     # 2) Fetch Bhavcopy
     # -------------------------------------------------------
     try:
-        df = nse_bhavcopy(date_str)   # <-- your custom loader
-        upload_files("eshanhf","bhav.csv",df.to_csv())
+        df = nse_bhavcopy(date_str)
         df.columns = df.columns.str.strip()
     except:
         return f"<h3>No Bhavcopy found for {date_str}.</h3>"
 
     # -------------------------------------------------------
-    # 3) Drop unwanted columns safely
+    # 3) Drop unwanted columns
     # -------------------------------------------------------
     remove = ["DATE1", "LAST_PRICE", "AVG_PRICE"]
-    df.drop(columns=[col for col in remove if col in df.columns], inplace=True)
+    df.drop(columns=[c for c in remove if c in df.columns], inplace=True)
 
     # -------------------------------------------------------
-    # 4) Convert numeric columns properly
+    # 4) Convert numeric columns
     # -------------------------------------------------------
     numeric_cols = [
-        "PREV_CLOSE",
-        "OPEN_PRICE",
-        "HIGH_PRICE",
-        "LOW_PRICE",
-        "CLOSE_PRICE",
-        "TTL_TRD_QNTY",
-        "TURNOVER_LACS",
-        "NO_OF_TRADES",
-        "DELIV_QTY",
-        "DELIV_PER"
+        "PREV_CLOSE", "OPEN_PRICE", "HIGH_PRICE", "LOW_PRICE",
+        "CLOSE_PRICE", "TTL_TRD_QNTY", "TURNOVER_LACS",
+        "NO_OF_TRADES", "DELIV_QTY", "DELIV_PER"
     ]
 
     for col in numeric_cols:
@@ -54,19 +47,34 @@ def build_bhavcopy_html(date_str):
             df[col] = pd.to_numeric(df[col], errors="coerce").fillna(0)
 
     # -------------------------------------------------------
-    # 5) Filter by turnover
+    # 5) Filter & sort
     # -------------------------------------------------------
     df = df[df["TURNOVER_LACS"] > 1000]
-    df = df.sort_values(by="TURNOVER_LACS", ascending=False)
+    df = df.sort_values("TURNOVER_LACS", ascending=False)
+
     # -------------------------------------------------------
-    # 6) Add computed columns
+    # 6) Computed columns
     # -------------------------------------------------------
     df["change"] = df["CLOSE_PRICE"] - df["PREV_CLOSE"]
     df["perchange"] = (df["change"] / df["PREV_CLOSE"].replace(0, 1)) * 100
-    df["pergap"] = ((df["OPEN_PRICE"] - df["PREV_CLOSE"]) / df["PREV_CLOSE"].replace(0, 1)) * 100
+    df["pergap"] = (
+        (df["OPEN_PRICE"] - df["PREV_CLOSE"]) /
+        df["PREV_CLOSE"].replace(0, 1)
+    ) * 100
 
     # -------------------------------------------------------
-    # 7) MAIN TABLE (vertical scroll)
+    # 7) Upload to Backblaze (FINAL DF)
+    # -------------------------------------------------------
+    file_name = f"bhav/bhav_{date_str.replace('-', '_')}.csv"
+
+    upload_file(
+        bucket_name="eshanhf",
+        file_name=file_name,
+        file_content=df
+    )
+
+    # -------------------------------------------------------
+    # 8) HTML Output
     # -------------------------------------------------------
     main_html = f"""
     <div class="main-table-container">
@@ -74,84 +82,43 @@ def build_bhavcopy_html(date_str):
     </div>
     """
 
-    # -------------------------------------------------------
-    # 8) GRID TABLE (SYMBOL vs metric)
-    # -------------------------------------------------------
     metrics = ["perchange", "pergap", "TURNOVER_LACS", "NO_OF_TRADES", "DELIV_PER"]
-    existing_metrics = [m for m in metrics if m in df.columns]
-
     col_html = []
-    for metric in existing_metrics:
-        temp_df = df[["SYMBOL", metric]].sort_values(metric, ascending=False)
-        col_html.append(
-            f"""
-            <div class="col">
-                <h4>{metric}</h4>
-                {temp_df.to_html(index=False, escape=False)}
-            </div>
-            """
-        )
 
-    grid_html = """
+    for m in metrics:
+        if m in df.columns:
+            temp = df[["SYMBOL", m]].sort_values(m, ascending=False)
+            col_html.append(
+                f"""
+                <div class="col">
+                    <h4>{m}</h4>
+                    {temp.to_html(index=False, escape=False)}
+                </div>
+                """
+            )
+
+    grid_html = f"""
     <div class="grid">
-        """ + "\n".join(col_html) + """
+        {''.join(col_html)}
     </div>
     """
 
-    # -------------------------------------------------------
-    # 9) CSS (improved header style)
-    # -------------------------------------------------------
     css = """
     <style>
-        .grid {
-            display: grid;
-            grid-template-columns: repeat(5, 1fr);
-            gap: 10px;
-            margin-top: 20px;
-        }
-        .col {
-            max-height: 480px;
-            overflow-y: scroll;
-            border: 1px solid #ccc;
-            padding: 4px;
-            background: #fafafa;
-        }
-        .main-table-container {
-            max-height: 480px;
-            overflow-y: scroll;
-            border: 1px solid #ccc;
-            padding: 4px;
-            background: #fff;
-            margin-bottom: 20px;
-        }
-        table {
-            font-size: 12px;
-            border-collapse: collapse;
-            width: 100%;
-        }
-        th, td {
-            padding: 4px 8px;
-            border: 1px solid #ddd;
+        .grid { display: grid; grid-template-columns: repeat(5, 1fr); gap: 10px; }
+        .col, .main-table-container {
+            max-height: 480px; overflow-y: auto;
+            border: 1px solid #ccc; padding: 4px;
         }
+        table { font-size: 12px; width: 100%; border-collapse: collapse; }
+        th, td { border: 1px solid #ddd; padding: 4px; }
         th {
-            background: linear-gradient(to bottom, #4CAF50, #2E7D32);
-            color: white;
-            font-weight: bold;
-            text-align: center;
-            position: sticky;
-            top: 0;
-            z-index: 3;
-            box-shadow: 0 2px 2px -1px rgba(0,0,0,0.4);
-        }
-        td {
-            text-align: right;
+            background: #2E7D32; color: white;
+            position: sticky; top: 0;
         }
     </style>
     """
 
-    # -------------------------------------------------------
-    # 10) Final Output
-    # -------------------------------------------------------
     return (
         css +
         "<h2>Main Bhavcopy Table</h2>" +