526 lines
22 KiB
Python
526 lines
22 KiB
Python
import glob
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import os
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import shutil
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import pandas as pd
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from openpyxl import load_workbook
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from openpyxl.styles import Font, PatternFill, Border, Side, Alignment
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from openpyxl.utils import get_column_letter
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from datetime import date, datetime
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# Paths
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src_dir = os.path.dirname(os.path.abspath(__file__)) + "/"
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out_dir = "U:/Dropbox/!!!Days/Downloads Z230/"
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# Find source files
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src_files = glob.glob(src_dir + "Protocol 77242113UCO3001 - All Samples*.xlsx")
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assert src_files, "Source file not found!"
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src_file = src_files[0]
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print(f"Source xlsx: {src_file}")
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csv_files = glob.glob(src_dir + "_EDCStdRpt-DataListing.csv")
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assert csv_files, "CSV file not found!"
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csv_file = csv_files[0]
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print(f"Source csv: {csv_file}")
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kit_csv_files = glob.glob(src_dir + "sponsor-study-36940-kit-inventory-on-hand-expiration.csv")
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assert kit_csv_files, "Kit inventory CSV not found!"
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kit_csv_file = kit_csv_files[0]
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print(f"Kit csv: {kit_csv_file}")
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eq_csv_files = glob.glob(src_dir + "sponsor-study-36940-activity-reports-documents-equery.csv")
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assert eq_csv_files, "eQuery CSV not found!"
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eq_csv_file = eq_csv_files[0]
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print(f"eQuery csv: {eq_csv_file}")
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timestamp = datetime.now().strftime("%Y-%m-%d_%H%M%S")
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out_filename = f"{timestamp} 77242113UCO3001 CZE Labcorp samples and kit inventory report.xlsx"
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out_path = out_dir + out_filename
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# Copy source file to output — preserves all formatting perfectly
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shutil.copy2(src_file, out_path)
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# Load data with pandas for analysis
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df = pd.read_excel(src_file, sheet_name=0, header=0)
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# All unique patients
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all_patients = sorted(df['Patient No.'].dropna().unique())
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# BXSCR and DNA rows
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bxscr = df[df['Protocol Visit Code'] == 'BXSCR']
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dna = df[df['Protocol Visit Code'] == 'DNA']
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# Parse date value to datetime object
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def fmt_date(val):
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if pd.isna(val):
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return None
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if isinstance(val, str):
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return datetime.strptime(val, '%d-%b-%Y')
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return pd.to_datetime(val).to_pydatetime()
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OK_STATUSES = {'Received', 'In Inventory', 'Shipped'}
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def get_specimen_info(visit_df, patient, specimen_type=None):
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rows = visit_df[visit_df['Patient No.'] == patient]
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if specimen_type:
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rows = rows[rows['Specimen Type'] == specimen_type]
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rows = rows[rows['Sample Status'].isin(OK_STATUSES)]
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if rows.empty:
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return '', None
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row = rows.iloc[0]
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return fmt_date(row['Container Receipt Date']), rows.index[0] + 2
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def get_label_info(patient, label_code, visit_code):
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rows = df[(df['Patient No.'] == patient) &
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(df['Protocol Visit Code'] == visit_code) &
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(df['Container Label Line 1'] == label_code)]
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rows = rows[rows['Sample Status'].isin(OK_STATUSES)]
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if rows.empty:
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return '', None
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row = rows.iloc[0]
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return fmt_date(row['Container Receipt Date']), rows.index[0] + 2
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# Open copied workbook and add analysis sheet
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out_wb = load_workbook(out_path)
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# Rename and autofit first sheet
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src_ws = out_wb.active
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src_ws.title = "Zdroj"
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for col in src_ws.columns:
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max_len = max((len(str(cell.value)) if cell.value is not None else 0) for cell in col)
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src_ws.column_dimensions[get_column_letter(col[0].column)].width = min(max_len + 2, 50)
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# ── Styly ────────────────────────────────────────────────────────────────────
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thin = Side(style='thin')
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border = Border(left=thin, right=thin, top=thin, bottom=thin)
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header_fill = PatternFill("solid", fgColor="4472C4")
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header_font = Font(name='Calibri', bold=True, size=11, color="FFFFFF")
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data_font = Font(name='Calibri', size=11)
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date_font_link = Font(name='Calibri', size=11, color="000000", underline='single')
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yes_fill = PatternFill("solid", fgColor="E2EFDA")
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no_fill = PatternFill("solid", fgColor="FFE7E7")
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sum_header_font = Font(name='Calibri', bold=True, size=11, color="000000")
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sum_total_font = Font(name='Calibri', bold=True, size=11)
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zero_font = Font(name='Calibri', size=11, color="BFBFBF")
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zero_red_font = Font(name='Calibri', size=11, color="C00000")
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dark_blue_fill = PatternFill("solid", fgColor="203764")
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orange_fill = PatternFill("solid", fgColor="FFF2CC")
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green_fill = PatternFill("solid", fgColor="E2EFDA")
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total_fill = PatternFill("solid", fgColor="D9E1F2")
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exp_fill = PatternFill("solid", fgColor="FFE7E7")
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ok_fill = PatternFill("solid", fgColor="E2EFDA")
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# ── List: Přehled vzorků ──────────────────────────────────────────────────────
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analysis_ws = out_wb.create_sheet("Přehled vzorků")
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columns = [
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("Investigator Name", 24),
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("Číslo pacienta", 20),
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("Máme biopsii SM11", 20),
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("Máme RNA", 16),
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("Máme Cryostor", 16),
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("DNA", 14),
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("PLASMPK I-0 TROUGH", 18),
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("PLASMA PK I-0 PEAK", 18),
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("SERUM ADA I-0 PRE", 18),
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("SM06/SERUM BIOM", 16),
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("SM07/WB RNA", 14),
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("SM10/FECAL", 14),
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("PLASMPK I-2 TROUGH", 18),
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("PLASMA PK I-2 PEAK", 18),
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("SERUM ADA I-2 PRE", 18),
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("STOOL I-2", 12),
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("PLASMPK I-4 TROUGH", 18),
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("PLASMA PK I-4 PEAK", 18),
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("SERUM ADA I-4 PRE", 18),
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("SM06/SERUM BIOM", 16),
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("SM07/WB RNA", 14),
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("STOOL I-4", 12),
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]
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group_font = Font(name='Calibri', bold=True, size=11)
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group_fill = PatternFill("solid", fgColor="FFFFFF")
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group_border = Border(left=thin, right=thin, top=thin, bottom=thin)
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groups = [
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(3, 5, "SCREENING"),
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(7, 12, "RANDOMIZACE I-0"),
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(13, 16, "I-2"),
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(17, 22, "I-4"),
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]
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for start_col, end_col, label in groups:
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analysis_ws.merge_cells(start_row=1, start_column=start_col, end_row=1, end_column=end_col)
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cell = analysis_ws.cell(row=1, column=start_col, value=label)
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cell.font = group_font
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cell.fill = group_fill
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cell.alignment = Alignment(horizontal='center', vertical='center')
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cell.border = group_border
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for c in range(start_col, end_col + 1):
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analysis_ws.cell(row=1, column=c).border = group_border
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analysis_ws.row_dimensions[1].height = 20
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for col_idx, (hdr, width) in enumerate(columns, 1):
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cell = analysis_ws.cell(row=2, column=col_idx, value=hdr)
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cell.font = header_font
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cell.fill = header_fill
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cell.border = border
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cell.alignment = Alignment(horizontal='center', vertical='center', wrap_text=True)
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analysis_ws.column_dimensions[get_column_letter(col_idx)].width = width
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analysis_ws.row_dimensions[2].height = 30
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analysis_ws.freeze_panes = "C3"
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src_sheet_name = out_wb.sheetnames[0]
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pat_sheet_name = "Seznam pacientů"
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_csv_df_pre = pd.read_csv(csv_file, encoding='utf-8')
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_pat_pre = _csv_df_pre[['SiteNumber', 'Subject', 'Field4Value']].copy()
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_pat_pre['Field4Value'] = _pat_pre['Field4Value'].apply(lambda v: datetime.strptime(str(v).strip(), '%d %b %Y') if pd.notna(v) else None)
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_pat_pre = _pat_pre.sort_values(['SiteNumber', 'Subject', 'Field4Value']).reset_index(drop=True)
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patient_row_map = {}
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for i, row in _pat_pre.iterrows():
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pat = row['Subject']
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if pat not in patient_row_map:
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patient_row_map[pat] = i + 2
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bxscr_patients = sorted(bxscr['Patient No.'].dropna().unique())
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for row_idx, patient in enumerate(bxscr_patients, 3):
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investigator = bxscr[bxscr['Patient No.'] == patient].iloc[0]['Investigator Name']
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sm11, sm11_row = get_specimen_info(bxscr, patient, 'Tissue , Paraffin Block')
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rna, rna_row = get_specimen_info(bxscr, patient, 'Biopsy RNA Later')
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cryo, cryo_row = get_specimen_info(bxscr, patient, 'Biopsy, Frozen Tissue')
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dna_date, dna_row = get_specimen_info(dna, patient)
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trough, trough_row = get_label_info(patient, 'PLASMPK I-0 TROUGH', 'I-0')
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peak, peak_row = get_label_info(patient, 'PLASMA PK I-0 PEAK', 'I-0')
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ada, ada_row = get_label_info(patient, 'SERUM ADA I-0 PRE', 'I-0')
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sm06, sm06_row = get_label_info(patient, 'SM06/SERUM BIOM', 'I-0')
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sm07, sm07_row = get_label_info(patient, 'SM07/WB RNA', 'I-0')
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sm10, sm10_row = get_label_info(patient, 'SM10/FECAL', 'I-0')
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trough2, trough2_row = get_label_info(patient, 'PLASMPK I-2 TROUGH', 'I-2')
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peak2, peak2_row = get_label_info(patient, 'PLASMA PK I-2 PEAK', 'I-2')
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ada2, ada2_row = get_label_info(patient, 'SERUM ADA I-2 PRE', 'I-2')
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stool2, stool2_row = get_label_info(patient, 'STOOL I-2', 'I-2')
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trough4, trough4_row = get_label_info(patient, 'PLASMPK I-4 TROUGH', 'I-4')
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peak4, peak4_row = get_label_info(patient, 'PLASMA PK I-4 PEAK', 'I-4')
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ada4, ada4_row = get_label_info(patient, 'SERUM ADA I-4 PRE', 'I-4')
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sm064, sm064_row = get_label_info(patient, 'SM06/SERUM BIOM', 'I-4')
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sm074, sm074_row = get_label_info(patient, 'SM07/WB RNA', 'I-4')
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stool4, stool4_row = get_label_info(patient, 'STOOL I-4', 'I-4')
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row_data = [investigator, patient,
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(sm11, sm11_row), (rna, rna_row), (cryo, cryo_row), (dna_date, dna_row),
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(trough, trough_row), (peak, peak_row), (ada, ada_row),
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(sm06, sm06_row), (sm07, sm07_row), (sm10, sm10_row),
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(trough2, trough2_row), (peak2, peak2_row), (ada2, ada2_row), (stool2, stool2_row),
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(trough4, trough4_row), (peak4, peak4_row), (ada4, ada4_row),
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(sm064, sm064_row), (sm074, sm074_row), (stool4, stool4_row)]
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for col_idx, value in enumerate(row_data, 1):
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if col_idx <= 2:
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cell = analysis_ws.cell(row=row_idx, column=col_idx, value=value)
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if col_idx == 2 and patient in patient_row_map:
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cell.hyperlink = f"#'{pat_sheet_name}'!B{patient_row_map[patient]}"
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cell.font = Font(name='Calibri', size=11, underline='single')
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else:
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cell.font = data_font
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else:
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dt, excel_row = value
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cell = analysis_ws.cell(row=row_idx, column=col_idx, value=dt)
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if dt and excel_row is not None:
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cell.hyperlink = f"#'{src_sheet_name}'!A{excel_row}"
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cell.font = date_font_link
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cell.fill = yes_fill
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cell.number_format = 'DD-MMM-YYYY'
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else:
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cell.font = Font(name='Calibri', size=11, color="C00000")
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cell.fill = no_fill
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cell.border = border
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cell.alignment = Alignment(horizontal='center', vertical='center')
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# ── List: Seznam pacientů ─────────────────────────────────────────────────────
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csv_df = pd.read_csv(csv_file, encoding='utf-8')
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patients_ws = out_wb.create_sheet("Seznam pacientů")
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pat_columns = [
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("Číslo centra", 20),
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("Číslo pacienta", 20),
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("Kód návštěvy", 20),
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("Datum návštěvy", 16),
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("Typ návštěvy", 16),
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]
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for col_idx, (col_name, width) in enumerate(pat_columns, 1):
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cell = patients_ws.cell(row=1, column=col_idx, value=col_name)
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cell.font = header_font
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cell.fill = header_fill
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cell.border = border
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cell.alignment = Alignment(horizontal='center', vertical='center', wrap_text=True)
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patients_ws.column_dimensions[get_column_letter(col_idx)].width = width
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patients_ws.row_dimensions[1].height = 30
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patients_ws.freeze_panes = "A2"
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def parse_date_edcstd(val):
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if pd.isna(val) or str(val).strip() == '':
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return None
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try:
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return datetime.strptime(str(val).strip(), '%d %b %Y')
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except:
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return None
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pat_df = csv_df[['SiteNumber', 'Subject', 'InstanceName', 'Field4Value', 'Field5Value']].copy()
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pat_df['Field4Value'] = pat_df['Field4Value'].apply(parse_date_edcstd)
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pat_df = pat_df.sort_values(['SiteNumber', 'Subject', 'Field4Value']).reset_index(drop=True)
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for row_idx, row in enumerate(pat_df.itertuples(index=False), 2):
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for col_idx, value in enumerate(row, 1):
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cell = patients_ws.cell(row=row_idx, column=col_idx, value=value)
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cell.font = data_font
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cell.border = border
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cell.alignment = Alignment(horizontal='center', vertical='center')
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if col_idx == 4 and value is not None:
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cell.number_format = 'DD-MMM-YYYY'
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# ── Kit inventory — načtení a příprava dat ────────────────────────────────────
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kit_df_raw = pd.read_csv(kit_csv_file, encoding="utf-8")
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cze = kit_df_raw[kit_df_raw["Country"] == "CZE"].copy()
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def parse_kit_date(val):
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if pd.isna(val):
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return None
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try:
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return datetime.strptime(str(val).strip(), "%b %d, %Y")
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except:
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return None
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cze["Shipped Date"] = cze["Shipped Date"].apply(parse_kit_date)
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cze["Expiration Date"] = cze["Expiration Date"].apply(parse_kit_date)
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cze = cze.sort_values(["Site", "Kit Type", "Expiration Date"]).reset_index(drop=True)
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today_dt = datetime.combine(date.today(), datetime.min.time())
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def bucket(exp_date):
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if exp_date is None:
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return None
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return "soon" if (exp_date - today_dt).days <= 30 else "ok"
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cze["_bucket"] = cze["Expiration Date"].apply(bucket)
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kit_order = sorted(cze["Kit Type"].unique(), key=lambda x: (str(x).lstrip("T-").zfill(5), str(x)))
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kit_desc = cze.drop_duplicates("Kit Type").set_index("Kit Type")["Description"].to_dict()
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kit_sites = sorted(cze["Site"].unique())
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# ── Pomocná funkce pro souhrnné tabulky ───────────────────────────────────────
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def write_summary_table(ws, current_row, title, rows_data, col_a_header):
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for c in range(1, 5):
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cell = ws.cell(row=current_row, column=c)
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cell.fill = dark_blue_fill
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cell.border = border
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ws.cell(row=current_row, column=1, value=title).font = Font(name='Calibri', bold=True, size=12, color="FFFFFF")
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ws.cell(row=current_row, column=1).alignment = Alignment(horizontal="left", vertical="center")
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ws.merge_cells(start_row=current_row, start_column=1, end_row=current_row, end_column=4)
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ws.row_dimensions[current_row].height = 22
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current_row += 1
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for col_idx, (h, f) in enumerate(zip(
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[col_a_header, "Description", "Expiruje do 30 dní", "Expiruje později"],
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[header_fill, header_fill, orange_fill, green_fill]
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), 1):
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cell = ws.cell(row=current_row, column=col_idx, value=h)
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cell.font = sum_header_font
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cell.fill = f
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cell.border = border
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cell.alignment = Alignment(horizontal="center", vertical="center", wrap_text=True)
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ws.row_dimensions[current_row].height = 28
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current_row += 1
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totals = [0, 0]
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for col_a, col_b, n_soon, n_ok in rows_data:
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totals[0] += n_soon
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totals[1] += n_ok
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all_zero = (n_soon == 0 and n_ok == 0)
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row_vals = [col_a, col_b, n_soon, n_ok]
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row_fills = [None, None,
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orange_fill if n_soon > 0 else None,
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green_fill if n_ok > 0 else None]
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for col_idx, (val, rfill) in enumerate(zip(row_vals, row_fills), 1):
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cell = ws.cell(row=current_row, column=col_idx, value=val)
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if col_idx >= 3 and val == 0:
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cell.font = zero_red_font if all_zero else zero_font
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else:
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cell.font = data_font
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cell.border = border
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cell.alignment = Alignment(horizontal="center" if col_idx >= 2 else "left", vertical="center")
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if rfill:
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cell.fill = rfill
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current_row += 1
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for col_idx, val in enumerate(["CELKEM", "", totals[0], totals[1]], 1):
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cell = ws.cell(row=current_row, column=col_idx, value=val)
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cell.font = sum_total_font
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cell.fill = total_fill
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cell.border = border
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cell.alignment = Alignment(horizontal="center" if col_idx >= 2 else "left", vertical="center")
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current_row += 2
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return current_row
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# ── List: Kit Inventory CZE ───────────────────────────────────────────────────
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kit_ws = out_wb.create_sheet("Kit Inventory CZE")
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listing_columns = [
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("Project No.", 14),
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("Region", 10),
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("Country", 10),
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("Site", 38),
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("Kit Type", 12),
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("Description", 22),
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("Accession", 18),
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("Shipped Date", 16),
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("Expiration Date", 16),
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("Days to Expiration", 20),
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]
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for col_idx, (hdr, width) in enumerate(listing_columns, 1):
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cell = kit_ws.cell(row=1, column=col_idx, value=hdr)
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cell.font = header_font
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cell.fill = header_fill
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cell.border = border
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cell.alignment = Alignment(horizontal="center", vertical="center", wrap_text=True)
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kit_ws.column_dimensions[get_column_letter(col_idx)].width = width
|
|
|
|
kit_ws.row_dimensions[1].height = 30
|
|
kit_ws.freeze_panes = "A2"
|
|
|
|
for row_idx, row in enumerate(cze.itertuples(index=False), 2):
|
|
days = row[9]
|
|
for col_idx, (col_name, _) in enumerate(listing_columns, 1):
|
|
value = row[col_idx - 1]
|
|
cell = kit_ws.cell(row=row_idx, column=col_idx, value=value)
|
|
cell.font = data_font
|
|
cell.border = border
|
|
cell.alignment = Alignment(horizontal="center", vertical="center")
|
|
if col_name in ("Shipped Date", "Expiration Date") and value is not None:
|
|
cell.number_format = "DD-MMM-YYYY"
|
|
if col_name == "Days to Expiration":
|
|
cell.fill = exp_fill if (pd.notna(days) and days <= 60) else ok_fill
|
|
|
|
kit_ws.auto_filter.ref = f"A1:{get_column_letter(len(listing_columns))}1"
|
|
|
|
# ── List: Přehled po centrech ─────────────────────────────────────────────────
|
|
ctr_ws = out_wb.create_sheet("Přehled po centrech")
|
|
ctr_ws.column_dimensions["A"].width = 22
|
|
ctr_ws.column_dimensions["B"].width = 24
|
|
ctr_ws.column_dimensions["C"].width = 22
|
|
ctr_ws.column_dimensions["D"].width = 20
|
|
|
|
current_row = 1
|
|
for site in kit_sites:
|
|
site_df = cze[cze["Site"] == site]
|
|
rows_data = []
|
|
for kit in kit_order:
|
|
desc = kit_desc.get(kit, "")
|
|
kit_site_df = site_df[site_df["Kit Type"] == kit]
|
|
n_soon = (kit_site_df["_bucket"] == "soon").sum()
|
|
n_ok = (kit_site_df["_bucket"] == "ok").sum()
|
|
rows_data.append((f"{kit} — {desc}", desc, n_soon, n_ok))
|
|
current_row = write_summary_table(ctr_ws, current_row, site, rows_data, "Kit Type")
|
|
|
|
# ── List: Přehled po typech kitů ──────────────────────────────────────────────
|
|
sum_ws = out_wb.create_sheet("Přehled po typech")
|
|
sum_ws.column_dimensions["A"].width = 38
|
|
sum_ws.column_dimensions["B"].width = 22
|
|
sum_ws.column_dimensions["C"].width = 22
|
|
sum_ws.column_dimensions["D"].width = 20
|
|
|
|
current_row = 1
|
|
for kit in kit_order:
|
|
desc = kit_desc.get(kit, "")
|
|
kit_df = cze[cze["Kit Type"] == kit]
|
|
rows_data = []
|
|
for site in sorted(kit_df["Site"].unique()):
|
|
site_df = kit_df[kit_df["Site"] == site]
|
|
n_soon = (site_df["_bucket"] == "soon").sum()
|
|
n_ok = (site_df["_bucket"] == "ok").sum()
|
|
rows_data.append((site, desc, n_soon, n_ok))
|
|
current_row = write_summary_table(sum_ws, current_row, f"Kit Type {kit} — {desc}", rows_data, "Centrum")
|
|
|
|
# ── List: eQueries ───────────────────────────────────────────────────────────
|
|
eq_df = pd.read_csv(eq_csv_file, encoding="utf-8")
|
|
eq_cze = eq_df[eq_df["Country"] == "CZECH REPUBLIC"].copy()
|
|
|
|
status_order = {"Open": 0, "Response Received": 1, "Closed": 2}
|
|
eq_cze["_status_order"] = eq_cze["Status"].map(status_order).fillna(99)
|
|
eq_cze = eq_cze.sort_values(["_status_order", "Site"]).reset_index(drop=True)
|
|
|
|
def parse_eq_date(val):
|
|
if pd.isna(val):
|
|
return None
|
|
for fmt in ("%b %d, %Y %I:%M %p", "%b %d, %Y %I:%M %p"):
|
|
try:
|
|
return datetime.strptime(str(val).strip(), fmt)
|
|
except:
|
|
pass
|
|
try:
|
|
return datetime.strptime(str(val).strip().split(" 12:00")[0], "%b %d, %Y")
|
|
except:
|
|
return None
|
|
|
|
eq_ws = out_wb.create_sheet("eQueries")
|
|
|
|
eq_columns = [
|
|
("Site", 36),
|
|
("Subject", 14),
|
|
("Visit", 20),
|
|
("Visit Collection Date", 20),
|
|
("Accession", 16),
|
|
("eQueryId", 12),
|
|
("Issue Type", 30),
|
|
("Status", 18),
|
|
("Create Date", 20),
|
|
("Response Date Time", 20),
|
|
("Time Before Response", 20),
|
|
("User Name", 20),
|
|
]
|
|
|
|
status_fills = {
|
|
"Open": PatternFill("solid", fgColor="FFE7E7"),
|
|
"Response Received": PatternFill("solid", fgColor="FFF2CC"),
|
|
"Closed": PatternFill("solid", fgColor="E2EFDA"),
|
|
}
|
|
|
|
for col_idx, (hdr, width) in enumerate(eq_columns, 1):
|
|
cell = eq_ws.cell(row=1, column=col_idx, value=hdr)
|
|
cell.font = header_font
|
|
cell.fill = header_fill
|
|
cell.border = border
|
|
cell.alignment = Alignment(horizontal="center", vertical="center", wrap_text=True)
|
|
eq_ws.column_dimensions[get_column_letter(col_idx)].width = width
|
|
|
|
eq_ws.row_dimensions[1].height = 30
|
|
eq_ws.freeze_panes = "A2"
|
|
|
|
for row_idx, row in enumerate(eq_cze.itertuples(index=False), 2):
|
|
status = row[eq_cze.columns.get_loc("Status")]
|
|
rfill = status_fills.get(status)
|
|
for col_idx, (col_name, _) in enumerate(eq_columns, 1):
|
|
value = row[eq_cze.columns.get_loc(col_name)]
|
|
if col_name in ("Visit Collection Date", "Create Date", "Response Date Time"):
|
|
value = parse_eq_date(value)
|
|
cell = eq_ws.cell(row=row_idx, column=col_idx, value=value)
|
|
cell.font = data_font
|
|
cell.border = border
|
|
cell.alignment = Alignment(horizontal="center" if col_idx > 1 else "left", vertical="center")
|
|
if col_name in ("Visit Collection Date", "Create Date", "Response Date Time") and value:
|
|
cell.number_format = "DD-MMM-YYYY HH:MM"
|
|
if rfill:
|
|
cell.fill = rfill
|
|
|
|
eq_ws.auto_filter.ref = f"A1:{get_column_letter(len(eq_columns))}1"
|
|
|
|
out_wb.save(out_path)
|
|
print(f"Saved: {out_path}")
|
|
print(f"Patients with BXSCR: {len(bxscr_patients)}, All unique patients: {len(all_patients)}")
|
|
print(f"CZE kit rows: {len(cze)}, Kit types: {len(kit_order)}, Sites: {len(kit_sites)}")
|
|
print(f"CZE eQueries: {len(eq_cze)} (Open: {(eq_cze['Status']=='Open').sum()}, Response Received: {(eq_cze['Status']=='Response Received').sum()}, Closed: {(eq_cze['Status']=='Closed').sum()})")
|