z230

2026-04-08 16:29:35 +02:00
parent 855cef678f
commit 1b00c10f42
8 changed files with 547 additions and 72 deletions
@@ -0,0 +1,102 @@
+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
+
+SOURCE_FILE = "accountability_combined.xlsx"
+OUTPUT_FILE = "sheet_not_returned.xlsx"
+SHEET_NAME  = "Not returned"
+
+DATE_COLUMNS = {
+    "Orig Exp Date", "Exp Date", "Rcv Date",
+    "Date Asgn", "Disp Date", "Max Visit Date",
+}
+
+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,
+    "Max Visit Date": 16,
+}
+
+df = pd.read_excel(SOURCE_FILE)
+
+for col in DATE_COLUMNS:
+    if col in df.columns:
+        df[col] = pd.to_datetime(df[col], errors="coerce")
+
+# Kits with no return date, assigned to a patient, and not "NOT DISPENSED"
+no_ret = df[
+    df["Date Ret"].isna() &
+    df["Subject ID"].notna() &
+    (df["Disp Status"].str.upper() != "NOT DISPENSED")
+].copy()
+
+# Max Date Asgn per patient (from full dataset)
+max_asgn = df.groupby("Subject ID")["Date Asgn"].max().rename("Max Visit Date")
+no_ret = no_ret.join(max_asgn, on="Subject ID")
+
+# Keep only kits where Date Asgn is NOT the latest for that patient
+filtered = no_ret[no_ret["Date Asgn"] < no_ret["Max Visit Date"]].copy()
+
+# Drop columns Q-U and keep Max Visit Date
+filtered = filtered.drop(columns=["Qty Ret", "Date Ret", "Ret User", "Destroyed", "Basket No."])
+filtered = filtered.reset_index(drop=True)
+
+print(f"Not returned kits: {len(filtered)}")
+
+filtered.to_excel(OUTPUT_FILE, index=False, sheet_name=SHEET_NAME)
+
+# Formatting
+wb = load_workbook(OUTPUT_FILE)
+ws = wb[SHEET_NAME]
+
+header_fill = PatternFill("solid", start_color="375623")   # dark green
+header_font = Font(bold=True, color="FFFFFF", name="Arial", size=10)
+row_font    = Font(name="Arial", size=10)
+ret_fill    = PatternFill("solid", start_color="E2EFDA")   # light green highlight for Date Ret
+
+thin   = Side(style="thin", color="000000")
+border = Border(left=thin, right=thin, top=thin, bottom=thin)
+
+headers = [cell.value for cell in ws[1]]
+
+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
+
+for row in ws.iter_rows(min_row=2, max_row=ws.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 == "Max Visit Date":
+            cell.fill = ret_fill
+
+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}  (sheet: '{SHEET_NAME}')")