From 855cef678f062c72a82fcb37585b28f09a206635 Mon Sep 17 00:00:00 2001
From: "vladimir.buzalka" <vladimir.buzalka@buzalka.cz>
Date: Wed, 8 Apr 2026 14:59:00 +0200
Subject: [PATCH] z230

---
 format_accountability.py | 118 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 118 insertions(+)
 create mode 100644 format_accountability.py

diff --git a/format_accountability.py b/format_accountability.py
new file mode 100644
index 0000000..a7ef956
--- /dev/null
+++ b/format_accountability.py
@@ -0,0 +1,118 @@
+import pandas as pd
+from openpyxl import load_workbook
+from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
+from openpyxl.utils import get_column_letter
+
+INPUT_FILE  = "accountability_combined.xlsx"
+OUTPUT_FILE = "accountability_formatted.xlsx"
+SHEET_NAME  = "CountryMedicationOverview"
+
+COLUMN_RENAMES = {
+    "Site":                                                  "Site",
+    "Medication ID":                                         "Med ID",
+    "Packaged Lot number":                                   "Lot No.",
+    "Original Expiration Date when Packaged Lot was Added":  "Orig Exp Date",
+    "Expiration date":                                       "Exp Date",
+    "Received Date":                                         "Rcv Date",
+    "Shipment Receipt User":                                 "Rcpt User",
+    "Subject Identifier":                                    "Subject ID",
+    "Quantity Assigned":                                     "Qty Asgn",
+    "IRT Transaction":                                       "IRT Tx",
+    "Date Assigned":                                         "Date Asgn",
+    "Assignment User":                                       "Asgn User",
+    "Dispensation Status":                                   "Disp Status",
+    "Dispensing Date":                                       "Disp Date",
+    "Quantity Dispensed":                                    "Qty Disp",
+    "Dispensing User":                                       "Disp User",
+    "Quantity Returned":                                     "Qty Ret",
+    "Date Returned":                                         "Date Ret",
+    "Return User":                                           "Ret User",
+    "DestroyedOn":                                           "Destroyed",
+    "Basket number":                                         "Basket No.",
+}
+
+DATE_COLUMNS = {
+    "Orig Exp Date", "Exp Date", "Rcv Date",
+    "Date Asgn", "Disp Date", "Date Ret", "Destroyed",
+}
+
+COLUMN_WIDTHS = {
+    "Site":          14,
+    "Med ID":        10,
+    "Lot No.":       12,
+    "Orig Exp Date": 16,
+    "Exp Date":      14,
+    "Rcv Date":      14,
+    "Rcpt User":     22,
+    "Subject ID":    14,
+    "Qty Asgn":       9,
+    "IRT Tx":         8,
+    "Date Asgn":     14,
+    "Asgn User":     20,
+    "Disp Status":   16,
+    "Disp Date":     14,
+    "Qty Disp":       9,
+    "Disp User":     20,
+    "Qty Ret":       10,
+    "Date Ret":      14,
+    "Ret User":      18,
+    "Destroyed":     14,
+    "Basket No.":    12,
+}
+
+# ── 1. Load with pandas and convert date columns ─────────────────────────────
+df = pd.read_excel(INPUT_FILE)
+df.rename(columns=COLUMN_RENAMES, inplace=True)
+
+for col in DATE_COLUMNS:
+    if col in df.columns:
+        df[col] = pd.to_datetime(df[col], dayfirst=True, errors="coerce")
+
+df.sort_values(["Site", "Rcv Date", "Med ID"], inplace=True, ignore_index=True)
+df.to_excel(OUTPUT_FILE, index=False, sheet_name=SHEET_NAME)
+
+# ── 2. Format with openpyxl ───────────────────────────────────────────────────
+wb = load_workbook(OUTPUT_FILE)
+ws = wb[SHEET_NAME]
+
+header_fill = PatternFill("solid", start_color="1F4E79")
+header_font = Font(bold=True, color="FFFFFF", name="Arial", size=10)
+new_col_fill = PatternFill("solid", start_color="E2EFDA")
+row_font     = Font(name="Arial", size=10)
+
+thin   = Side(style="thin", color="000000")
+border = Border(left=thin, right=thin, top=thin, bottom=thin)
+
+headers  = [cell.value for cell in ws[1]]
+new_cols = {"Destroyed", "Basket No."}
+
+# Header row
+for cell in ws[1]:
+    cell.fill      = header_fill
+    cell.font      = header_font
+    cell.alignment = Alignment(horizontal="center", vertical="center", wrap_text=False)
+    cell.border    = border
+
+# Data rows
+max_row = ws.max_row
+for row in ws.iter_rows(min_row=2, max_row=max_row):
+    for cell in row:
+        col_name = headers[cell.column - 1] if cell.column <= len(headers) else None
+        cell.font   = row_font
+        cell.border = border
+        cell.alignment = Alignment(horizontal="center")
+        if col_name in DATE_COLUMNS:
+            cell.number_format = "DD-MMM-YYYY"
+        if col_name in new_cols:
+            cell.fill = new_col_fill
+
+# Column widths
+for cell in ws[1]:
+    width = COLUMN_WIDTHS.get(cell.value, 14)
+    ws.column_dimensions[get_column_letter(cell.column)].width = width
+
+ws.auto_filter.ref = ws.dimensions
+ws.freeze_panes    = "A2"
+
+wb.save(OUTPUT_FILE)
+print(f"Saved: {OUTPUT_FILE}  ({max_row - 1} rows, sheet '{SHEET_NAME}')")