z230
This commit is contained in:
@@ -1,402 +0,0 @@
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"""
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create_report.py
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Verze: 1.2
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Datum: 2026-05-27
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Generuje Excel report (.xlsm) pro studii 77242113UCO3001 z MongoDB databáze Clario.
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Výstup: U:/Dropbox/!!!Days/Downloads Z230/YYYY-MM-DD 77242113UCO3001 Clario Reports.xlsm
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Listy:
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MayoScore — jeden řádek = pacient × visit; řádky I-0 s Modified Mayo < 5 červeně tučně
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MayoDiary — jeden řádek = denní záznam deníku pacienta
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EligibleDays — jeden řádek = jeden eligible day z MayoScore obohacený o data z MayoDiary;
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included/excluded flag, excluded dny šedě na žlutém pozadí
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VBA makro (Worksheet_SelectionChange na listu MayoScore):
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Klik na řádek → automaticky přepne na EligibleDays a vyfiltruje záznamy
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pro daného pacienta a visit. Vyžaduje povolení maker při otevření souboru.
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"""
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from datetime import datetime
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from pathlib import Path
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from pymongo import MongoClient
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from openpyxl import Workbook
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from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
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from openpyxl.utils import get_column_letter
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import xlwings as xw
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# ---------------------------------------------------------------------------
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# Konfigurace
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# ---------------------------------------------------------------------------
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MONGO_URI = "mongodb://192.168.1.76:27017"
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DB_NAME = "Clario"
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OUTPUT_DIR = Path(r"U:\Dropbox\!!!Days\Downloads Z230")
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VISIT_ORDER = ["I-0", "I-2", "I-4", "I-8", "I-12"]
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COLUMNS_SCORE = [
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("Site", lambda d: d.get("site", {}).get("name", "")),
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("Subject ID", lambda d: d.get("subject", {}).get("id", "")),
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("Visit", lambda d: d["fields"].get("Visit", "")),
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("Visit Date", lambda d: d["fields"].get("Visit Date", "")),
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("Baseline Stool Frequency", lambda d: _num(d["fields"].get("Baseline Stool Frequency", ""))),
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("Central Endoscopy Score", lambda d: _num(d["fields"].get("Central Endoscopy Score", ""))),
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("PGA Score", lambda d: _num(d["fields"].get("PGA Score", ""))),
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("Stool Frequency Sub-score", lambda d: _num(d["fields"].get("Stool Frequency Sub-score", ""))),
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("Rectal Bleeding Sub-score", lambda d: _num(d["fields"].get("Rectal Bleeding Sub-score", ""))),
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("Partial Mayo Score", lambda d: _num(d["fields"].get("Partial Mayo Score", ""))),
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("Modified Mayo Score", lambda d: _num(d["fields"].get("Modified Mayo Score", ""))),
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("Full Mayo Score", lambda d: _num(d["fields"].get("Full Mayo Score", ""))),
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]
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COLUMNS_DIARY = [
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("Subject ID", lambda d: d.get("subject", {}).get("id", "")),
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("Report Date", lambda d: d["fields"].get("Report Date", "")),
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("Baseline Stool Count", lambda d: _num(d["fields"].get("Baseline Stool Count", ""))),
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("Stool Frequency", lambda d: _num(d["fields"].get("Stool Frequency", ""))),
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("MAYO050", lambda d: d["fields"].get("MAYO050", "")),
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("Not Applicable", lambda d: d["fields"].get("Not Applicable", "")),
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("Constipation", lambda d: d["fields"].get("Constipation", "")),
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("Diarrhea", lambda d: d["fields"].get("Diarrhea", "")),
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("Irregularity", lambda d: d["fields"].get("Irregularity", "")),
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]
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# ---------------------------------------------------------------------------
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# Helpers
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# ---------------------------------------------------------------------------
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def _num(value):
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"""Převede číselný string na int, jinak vrátí původní hodnotu nebo None."""
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if value == "" or value is None:
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return None
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try:
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return int(value)
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except (ValueError, TypeError):
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try:
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return float(value)
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except (ValueError, TypeError):
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return value
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def _visit_sort_key(doc):
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visit = doc["fields"].get("Visit", "")
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try:
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idx = VISIT_ORDER.index(visit)
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except ValueError:
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idx = len(VISIT_ORDER)
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return (doc.get("site", {}).get("name", ""), doc.get("subject", {}).get("id", ""), idx, visit)
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def _iso_to_date(value):
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"""ISO string → Python date pro Excel."""
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if not isinstance(value, str):
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return value
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try:
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return datetime.fromisoformat(value).date()
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except ValueError:
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return value
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# ---------------------------------------------------------------------------
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# Styly
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# ---------------------------------------------------------------------------
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HEADER_FILL = PatternFill("solid", fgColor="1F497D")
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HEADER_FONT = Font(bold=True, color="FFFFFF", size=10)
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CELL_FONT = Font(size=10)
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ALIGN_CTR = Alignment(horizontal="center", vertical="center", wrap_text=False)
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ALIGN_LEFT = Alignment(horizontal="left", vertical="center")
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THIN = Side(style="thin", color="BFBFBF")
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BORDER = Border(left=THIN, right=THIN, top=THIN, bottom=THIN)
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# zebra
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FILL_ODD = PatternFill("solid", fgColor="FFFFFF")
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FILL_EVEN = PatternFill("solid", fgColor="EBF1DE")
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SCORE_COLS = {"Partial Mayo Score", "Modified Mayo Score", "Full Mayo Score"}
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SCORE_FILL = PatternFill("solid", fgColor="FFC7CE") # červená pro skóre ≥ 5 (placeholder — nepoužíváme podmíněné formátování)
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# ---------------------------------------------------------------------------
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# Sestavení sheetu
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# ---------------------------------------------------------------------------
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def _build_sheet(ws, docs, columns, date_cols, center_cols, col_widths, row_font_fn=None):
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headers = [c[0] for c in columns]
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for col_idx, header in enumerate(headers, 1):
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cell = ws.cell(row=1, column=col_idx, value=header)
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cell.font = HEADER_FONT
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cell.fill = HEADER_FILL
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cell.alignment = ALIGN_CTR
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cell.border = BORDER
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ws.row_dimensions[1].height = 28
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for row_idx, doc in enumerate(docs, 2):
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fill = FILL_EVEN if row_idx % 2 == 0 else FILL_ODD
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font = row_font_fn(doc) if row_font_fn else CELL_FONT
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for col_idx, (col_name, getter) in enumerate(columns, 1):
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value = getter(doc)
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if col_name in date_cols and isinstance(value, str):
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value = _iso_to_date(value)
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cell = ws.cell(row=row_idx, column=col_idx, value=value)
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cell.font = font
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cell.fill = fill
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cell.border = BORDER
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cell.alignment = ALIGN_CTR if col_name in center_cols else ALIGN_LEFT
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for col_idx, (col_name, _) in enumerate(columns, 1):
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ws.column_dimensions[get_column_letter(col_idx)].width = col_widths.get(col_name, 14)
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for col_name in date_cols:
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if col_name in headers:
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letter = get_column_letter(headers.index(col_name) + 1)
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for row_idx in range(2, len(docs) + 2):
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ws[f"{letter}{row_idx}"].number_format = "DD-MMM-YYYY"
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ws.freeze_panes = "A2"
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ws.auto_filter.ref = f"A1:{get_column_letter(len(headers))}1"
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def _score_row_font(doc):
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visit = doc["fields"].get("Visit", "")
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try:
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mod_mayo = int(doc["fields"].get("Modified Mayo Score", ""))
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except (ValueError, TypeError):
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mod_mayo = None
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if visit == "I-0" and mod_mayo is not None and mod_mayo < 5:
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return Font(size=10, bold=True, color="FF0000")
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return CELL_FONT
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def build_mayo_score_sheet(ws, docs):
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_build_sheet(
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ws, docs, COLUMNS_SCORE,
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date_cols={"Visit Date"},
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center_cols={"Visit", "Central Endoscopy Score", "PGA Score",
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"Stool Frequency Sub-score", "Rectal Bleeding Sub-score",
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"Partial Mayo Score", "Modified Mayo Score", "Full Mayo Score",
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"Baseline Stool Frequency"},
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col_widths={
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"Site": 18, "Subject ID": 16, "Visit": 12, "Visit Date": 14,
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"Baseline Stool Frequency": 14, "Central Endoscopy Score": 14,
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"PGA Score": 10, "Stool Frequency Sub-score": 14,
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"Rectal Bleeding Sub-score": 14, "Partial Mayo Score": 14,
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"Modified Mayo Score": 14, "Full Mayo Score": 13,
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},
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row_font_fn=_score_row_font,
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)
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def build_mayo_diary_sheet(ws, docs):
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_build_sheet(
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ws, docs, COLUMNS_DIARY,
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date_cols={"Report Date"},
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center_cols={"Baseline Stool Count", "Stool Frequency", "Not Applicable",
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"Constipation", "Diarrhea", "Irregularity"},
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col_widths={
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"Subject ID": 16, "Report Date": 14, "Baseline Stool Count": 14,
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"Stool Frequency": 14, "MAYO050": 48, "Not Applicable": 14,
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"Constipation": 14, "Diarrhea": 12, "Irregularity": 14,
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},
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)
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def build_eligible_days_sheet(ws, score_docs, diary_docs):
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# Lookup diary records by (subject_id, date_part YYYY-MM-DD)
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diary_lookup: dict[tuple, dict] = {}
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for d in diary_docs:
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subj = d.get("subject", {}).get("id", "")
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date_iso = d["fields"].get("Report Date", "")
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date_part = date_iso[:10] if date_iso else ""
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if subj and date_part:
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diary_lookup[(subj, date_part)] = d
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headers = [
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"Included", "Subject ID", "Visit", "Visit Date", "Day",
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"Report Date", "Baseline Stool Count", "Stool Frequency",
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"MAYO050", "Not Applicable", "Constipation", "Diarrhea", "Irregularity",
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]
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col_widths = {
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"Included": 10, "Subject ID": 16, "Visit": 10, "Visit Date": 14, "Day": 8,
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"Report Date": 14, "Baseline Stool Count": 14, "Stool Frequency": 14,
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"MAYO050": 48, "Not Applicable": 14, "Constipation": 14,
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"Diarrhea": 12, "Irregularity": 14,
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}
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center_cols = {"Included", "Visit", "Day", "Baseline Stool Count", "Stool Frequency",
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"Not Applicable", "Constipation", "Diarrhea", "Irregularity"}
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date_cols = {"Visit Date", "Report Date"}
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no_fill = PatternFill("solid", fgColor="FFF2CC") # žlutá pro excluded dny
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for col_idx, header in enumerate(headers, 1):
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cell = ws.cell(row=1, column=col_idx, value=header)
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cell.font = HEADER_FONT
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cell.fill = HEADER_FILL
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cell.alignment = ALIGN_CTR
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cell.border = BORDER
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ws.row_dimensions[1].height = 28
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row_idx = 2
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for score_doc in score_docs:
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subj = score_doc.get("subject", {}).get("id", "")
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visit = score_doc["fields"].get("Visit", "")
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visit_date = score_doc["fields"].get("Visit Date", "")
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for n in range(1, 11):
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day_date_iso = score_doc["fields"].get(f"Eligible Day (-{n})")
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if not day_date_iso or day_date_iso == "-":
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continue
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date_part = day_date_iso[:10]
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excl_reason = score_doc["fields"].get(f"Day (-{n}) Excluded Reason(s)", "")
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included = "No" if excl_reason and excl_reason != "-" else "Yes"
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diary = diary_lookup.get((subj, date_part), {})
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df = diary.get("fields", {})
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fill = no_fill if included == "No" else (FILL_EVEN if row_idx % 2 == 0 else FILL_ODD)
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font = Font(size=10, color="808080") if included == "No" else CELL_FONT
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values = [
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included,
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subj,
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visit,
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_iso_to_date(visit_date) if isinstance(visit_date, str) else visit_date,
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f"-{n}",
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_iso_to_date(day_date_iso),
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_num(df.get("Baseline Stool Count", "")),
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_num(df.get("Stool Frequency", "")),
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df.get("MAYO050", ""),
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df.get("Not Applicable", ""),
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df.get("Constipation", ""),
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df.get("Diarrhea", ""),
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df.get("Irregularity", ""),
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]
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for col_idx, (header, value) in enumerate(zip(headers, values), 1):
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cell = ws.cell(row=row_idx, column=col_idx, value=value)
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cell.font = font
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cell.fill = fill
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cell.border = BORDER
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if header in date_cols:
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cell.number_format = "DD-MMM-YYYY"
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cell.alignment = ALIGN_CTR if header in center_cols else ALIGN_LEFT
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row_idx += 1
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for col_idx, header in enumerate(headers, 1):
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ws.column_dimensions[get_column_letter(col_idx)].width = col_widths.get(header, 14)
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ws.freeze_panes = "A2"
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ws.auto_filter.ref = f"A1:{get_column_letter(len(headers))}1"
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# ---------------------------------------------------------------------------
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# Main
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# ---------------------------------------------------------------------------
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def main():
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client = MongoClient(MONGO_URI, serverSelectionTimeoutMS=5000)
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client.admin.command("ping")
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db = client[DB_NAME]
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score_docs = list(db["Clario.MayoScore"].find({}))
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diary_docs = list(db["Clario.MayoDiary"].find({}))
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client.close()
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score_docs.sort(key=_visit_sort_key)
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diary_docs.sort(key=lambda d: (
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d.get("subject", {}).get("id", ""),
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d["fields"].get("Report Date", ""),
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))
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wb = Workbook()
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ws_score = wb.active
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ws_score.title = "MayoScore"
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build_mayo_score_sheet(ws_score, score_docs)
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ws_diary = wb.create_sheet("MayoDiary")
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build_mayo_diary_sheet(ws_diary, diary_docs)
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ws_days = wb.create_sheet("EligibleDays")
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build_eligible_days_sheet(ws_days, score_docs, diary_docs)
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OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
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today = datetime.now().strftime("%Y-%m-%d")
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filename = f"{today} 77242113UCO3001 Clario Reports.xlsx"
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output_path = OUTPUT_DIR / filename
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# Uložit jako .xlsx nejdřív, pak přepsat na .xlsm přes xlwings + injektovat VBA
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xlsx_path = output_path.with_suffix(".xlsx")
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xlsm_path = output_path.with_suffix(".xlsm")
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wb.save(str(xlsx_path))
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inject_vba(xlsx_path, xlsm_path)
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xlsx_path.unlink(missing_ok=True)
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print(f"Uloženo: {xlsm_path}")
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print(f"MayoScore: {len(score_docs)} záznamů")
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print(f"MayoDiary: {len(diary_docs)} záznamů")
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print(f"EligibleDays: generováno z {len(score_docs)} score záznamů")
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def inject_vba(xlsx_path: Path, xlsm_path: Path) -> None:
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vba_code = '''\
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Private Sub Worksheet_SelectionChange(ByVal Target As Range)
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If Target.Row < 2 Or Target.Column < 1 Then Exit Sub
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If Target.Rows.Count > 1 Then Exit Sub
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Dim subjectId As String
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Dim visit As String
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subjectId = CStr(Me.Cells(Target.Row, 2).Value)
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visit = CStr(Me.Cells(Target.Row, 3).Value)
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If subjectId = "" Or visit = "" Then Exit Sub
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Dim ws As Worksheet
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On Error Resume Next
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Set ws = ThisWorkbook.Sheets("EligibleDays")
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On Error GoTo 0
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If ws Is Nothing Then Exit Sub
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Application.ScreenUpdating = False
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ws.AutoFilterMode = False
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ws.Range("A1").AutoFilter
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ws.Range("A1").AutoFilter Field:=2, Criteria1:=subjectId
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ws.Range("A1").AutoFilter Field:=3, Criteria1:=visit
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ws.Activate
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ws.Range("A2").Select
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Application.ScreenUpdating = True
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End Sub
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'''
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app = xw.App(visible=False)
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try:
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wb = app.books.open(str(xlsx_path))
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# Najdi VBComponent odpovídající listu "MayoScore" podle tab názvu
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vb_comp = None
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for comp in wb.api.VBProject.VBComponents:
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if comp.Type == 100: # xlSheet
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||||
try:
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if comp.Properties("Name").Value == "MayoScore":
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vb_comp = comp
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break
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except Exception:
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pass
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if vb_comp is None:
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# fallback: první sheet (Sheet1)
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vb_comp = wb.api.VBProject.VBComponents("Sheet1")
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vb_comp.CodeModule.AddFromString(vba_code)
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wb.api.SaveAs(str(xlsm_path), FileFormat=52) # 52 = xlOpenXMLWorkbookMacroEnabled
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wb.close()
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finally:
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app.quit()
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||||
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||||
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||||
if __name__ == "__main__":
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main()
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@@ -1,3 +1,3 @@
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||||
2026/05/28-09:34:01.521 26f4 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Extension State/MANIFEST-000001
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||||
2026/05/28-09:34:01.522 26f4 Recovering log #3
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||||
2026/05/28-09:34:01.522 26f4 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Extension State/000003.log
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||||
2026/05/29-13:24:16.539 6b34 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Extension State/MANIFEST-000001
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||||
2026/05/29-13:24:16.540 6b34 Recovering log #3
|
||||
2026/05/29-13:24:16.541 6b34 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Extension State/000003.log
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:20:54.095 55ec Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Extension State/MANIFEST-000001
|
||||
2026/05/28-09:20:54.096 55ec Recovering log #3
|
||||
2026/05/28-09:20:54.096 55ec Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Extension State/000003.log
|
||||
2026/05/29-13:17:37.742 5acc Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Extension State/MANIFEST-000001
|
||||
2026/05/29-13:17:37.742 5acc Recovering log #3
|
||||
2026/05/29-13:17:37.743 5acc Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Extension State/000003.log
|
||||
|
||||
Binary file not shown.
@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:34:11.834 4160 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\GCM Store/MANIFEST-000001
|
||||
2026/05/28-09:34:11.835 4160 Recovering log #3
|
||||
2026/05/28-09:34:11.836 4160 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\GCM Store/000003.log
|
||||
2026/05/29-13:24:32.087 1144 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\GCM Store/MANIFEST-000001
|
||||
2026/05/29-13:24:32.087 1144 Recovering log #3
|
||||
2026/05/29-13:24:32.087 1144 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\GCM Store/000003.log
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:21:04.862 2184 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\GCM Store/MANIFEST-000001
|
||||
2026/05/28-09:21:04.864 2184 Recovering log #3
|
||||
2026/05/28-09:21:04.865 2184 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\GCM Store/000003.log
|
||||
2026/05/29-13:17:47.687 5428 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\GCM Store/MANIFEST-000001
|
||||
2026/05/29-13:17:47.696 5428 Recovering log #3
|
||||
2026/05/29-13:17:47.696 5428 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\GCM Store/000003.log
|
||||
|
||||
Binary file not shown.
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BIN
Binary file not shown.
+3
-3
@@ -1,3 +1,3 @@
|
||||
2026/05/28-08:18:49.515 3070 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\IndexedDB\https_xsp.covance.com_0.indexeddb.leveldb/MANIFEST-000001
|
||||
2026/05/28-08:18:49.515 3070 Recovering log #3
|
||||
2026/05/28-08:18:49.515 3070 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\IndexedDB\https_xsp.covance.com_0.indexeddb.leveldb/000003.log
|
||||
2026/05/29-11:20:05.334 264 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\IndexedDB\https_xsp.covance.com_0.indexeddb.leveldb/MANIFEST-000001
|
||||
2026/05/29-11:20:05.335 264 Recovering log #3
|
||||
2026/05/29-11:20:05.335 264 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\IndexedDB\https_xsp.covance.com_0.indexeddb.leveldb/000003.log
|
||||
|
||||
+3
-3
@@ -1,3 +1,3 @@
|
||||
2026/05/28-08:03:00.480 474c Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\IndexedDB\https_xsp.covance.com_0.indexeddb.leveldb/MANIFEST-000001
|
||||
2026/05/28-08:03:00.481 474c Recovering log #3
|
||||
2026/05/28-08:03:00.481 474c Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\IndexedDB\https_xsp.covance.com_0.indexeddb.leveldb/000003.log
|
||||
2026/05/29-11:17:21.700 5a0c Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\IndexedDB\https_xsp.covance.com_0.indexeddb.leveldb/MANIFEST-000001
|
||||
2026/05/29-11:17:21.700 5a0c Recovering log #3
|
||||
2026/05/29-11:17:21.700 5a0c Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\IndexedDB\https_xsp.covance.com_0.indexeddb.leveldb/000003.log
|
||||
|
||||
Binary file not shown.
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Binary file not shown.
Binary file not shown.
Binary file not shown.
@@ -1,6 +1,6 @@
|
||||
2026/05/28-09:34:01.216 1690 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Local Storage\leveldb/MANIFEST-000001
|
||||
2026/05/28-09:34:01.223 1690 Recovering log #106
|
||||
2026/05/28-09:34:01.225 1690 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Local Storage\leveldb/000106.log
|
||||
2026/05/28-09:34:15.864 8d0 Level-0 table #110: started
|
||||
2026/05/28-09:34:15.951 8d0 Level-0 table #110: 24294 bytes OK
|
||||
2026/05/28-09:34:16.039 8d0 Delete type=0 #106
|
||||
2026/05/29-13:24:16.084 988 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Local Storage\leveldb/MANIFEST-000001
|
||||
2026/05/29-13:24:16.091 988 Recovering log #160
|
||||
2026/05/29-13:24:16.093 988 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Local Storage\leveldb/000160.log
|
||||
2026/05/29-13:24:33.012 6ac4 Level-0 table #165: started
|
||||
2026/05/29-13:24:33.073 6ac4 Level-0 table #165: 20511 bytes OK
|
||||
2026/05/29-13:24:33.150 6ac4 Delete type=0 #160
|
||||
|
||||
@@ -1,3 +1,15 @@
|
||||
2026/05/28-09:20:53.814 57f0 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Local Storage\leveldb/MANIFEST-000001
|
||||
2026/05/28-09:20:53.820 57f0 Recovering log #106
|
||||
2026/05/28-09:20:53.822 57f0 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Local Storage\leveldb/000106.log
|
||||
2026/05/29-13:17:37.366 6a60 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Local Storage\leveldb/MANIFEST-000001
|
||||
2026/05/29-13:17:37.373 6a60 Recovering log #157
|
||||
2026/05/29-13:17:37.375 6a60 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Local Storage\leveldb/000157.log
|
||||
2026/05/29-13:17:51.674 6264 Level-0 table #161: started
|
||||
2026/05/29-13:17:51.748 6264 Level-0 table #161: 19877 bytes OK
|
||||
2026/05/29-13:17:51.815 6264 Delete type=0 #157
|
||||
2026/05/29-13:17:51.816 6264 Compacting 4@0 + 1@1 files
|
||||
2026/05/29-13:17:51.881 6264 Generated table #162@0: 24 keys, 30021 bytes
|
||||
2026/05/29-13:17:51.882 6264 Compacted 4@0 + 1@1 files => 30021 bytes
|
||||
2026/05/29-13:17:51.914 6264 compacted to: files[ 0 1 1 0 0 0 0 ]
|
||||
2026/05/29-13:17:51.915 6264 Delete type=2 #149
|
||||
2026/05/29-13:17:51.915 6264 Delete type=2 #152
|
||||
2026/05/29-13:17:51.915 6264 Delete type=2 #155
|
||||
2026/05/29-13:17:51.915 6264 Delete type=2 #158
|
||||
2026/05/29-13:17:51.915 6264 Delete type=2 #161
|
||||
|
||||
Binary file not shown.
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@@ -1 +1 @@
|
||||
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||||
{"net":{"http_server_properties":{"servers":[{"anonymization":["GAAAABMAAABodHRwczovL2NvdmFuY2UuY29tAA==",false,0],"server":"https://login.labcorp.com","supports_spdy":true},{"anonymization":["GAAAABMAAABodHRwczovL2NvdmFuY2UuY29tAA==",false,0],"server":"https://cdn.pendo.io","supports_spdy":true},{"anonymization":["GAAAABMAAABodHRwczovL2NvdmFuY2UuY29tAA==",false,0],"server":"https://data.pendo.io","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13427112006055382","port":443,"protocol_str":"quic"}],"anonymization":["GAAAABMAAABodHRwczovL2NvdmFuY2UuY29tAA==",false,0],"network_stats":{"srtt":6621},"server":"https://content-autofill.googleapis.com","supports_spdy":true},{"anonymization":["GAAAABMAAABodHRwczovL2NvdmFuY2UuY29tAA==",true,0],"server":"https://login.labcorp.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13427119456814562","port":443,"protocol_str":"quic"}],"anonymization":["GAAAABIAAABodHRwczovL2dvb2dsZS5jb20AAA==",false,0],"network_stats":{"srtt":10524},"server":"https://accounts.google.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13424613857546976","port":443,"protocol_str":"quic"}],"anonymization":["GAAAABMAAABodHRwczovL2NvdmFuY2UuY29tAA==",false,0],"network_stats":{"srtt":5917},"server":"https://unpkg.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13427107435975955","port":443,"protocol_str":"quic"}],"anonymization":["GAAAABMAAABodHRwczovL2xhYmNvcnAuY29tAA==",false,0],"network_stats":{"srtt":6306},"server":"https://fonts.googleapis.com","supports_spdy":true},{"anonymization":["GAAAABMAAABodHRwczovL2xhYmNvcnAuY29tAA==",false,0],"network_stats":{"srtt":6502},"server":"https://fonts.gstatic.com"},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13427119484319015","port":443,"protocol_str":"quic"}],"anonymization":["MAAAACwAAABodHRwczovL3Bhc3N3b3Jkc2xlYWtjaGVjay1wYS5nb29nbGVhcGlzLmNvbQ==",false,0],"network_stats":{"srtt":4832},"server":"https://passwordsleakcheck-pa.googleapis.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13427119496814314","port":443,"protocol_str":"quic"}],"anonymization":["GAAAABIAAABodHRwczovL2dvb2dsZS5jb20AAA==",false,0],"network_stats":{"srtt":7750},"server":"https://android.clients.google.com","supports_spdy":true},{"anonymization":["GAAAABMAAABodHRwczovL2xhYmNvcnAuY29tAA==",false,0],"server":"https://login.labcorp.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13427119978225009","port":443,"protocol_str":"quic"}],"anonymization":["GAAAABMAAABodHRwczovL2xhYmNvcnAuY29tAA==",false,0],"network_stats":{"srtt":6055},"server":"https://content-autofill.googleapis.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13424614330059042","port":443,"protocol_str":"quic"}],"anonymization":["GAAAABMAAABodHRwczovL2xhYmNvcnAuY29tAA==",false,0],"network_stats":{"srtt":6720},"server":"https://unpkg.com"},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13427119456718085","port":443,"protocol_str":"quic"}],"anonymization":["GAAAABIAAABodHRwczovL2dvb2dsZS5jb20AAA==",false,0],"network_stats":{"srtt":6576},"server":"https://www.google.com","supports_spdy":true}],"supports_quic":{"address":"192.168.1.87","used_quic":true},"version":5},"network_qualities":{"CAESABiAgICA+P////8B":"4G"}}}
|
||||
Binary file not shown.
@@ -1 +1 @@
|
||||
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|
||||
{"sts":[{"expiry":1811590376.982667,"host":"AMsYuZ7IFgNWVHHQOkqKt9MmwK65kaqBH0lsKFOUFH8=","mode":"force-https","sts_include_subdomains":true,"sts_observed":1780054376.982671},{"expiry":1811589873.806784,"host":"CSChKrlj3luqm4YaUcREYcNSGviDSaiJLYYv+tJJLQY=","mode":"force-https","sts_include_subdomains":true,"sts_observed":1780053873.80679},{"expiry":1811581653.541007,"host":"Cz1hgA9AsWBjlwLNwma1z9V2NS3WBGpE+hAisJYAzJg=","mode":"force-https","sts_include_subdomains":true,"sts_observed":1780045653.54101},{"expiry":1811582405.562701,"host":"bwzZzlAVpSjLBr+9/WzKm/QotRxOYnqfzWRcWGuF4/M=","mode":"force-https","sts_include_subdomains":true,"sts_observed":1780046405.562703},{"expiry":1811590379.118582,"host":"eS7TxKKR6KM2rUe5fGp4j6+eHcckwVadZAWT/TaU2RQ=","mode":"force-https","sts_include_subdomains":true,"sts_observed":1780054379.118586},{"expiry":1811590330.059279,"host":"e3SziuwfuO2UvuBno+qkR1ObHAzZmSUoJhrc7dbP1Uo=","mode":"force-https","sts_include_subdomains":true,"sts_observed":1780054330.059282},{"expiry":1811577835.976147,"host":"nAuqgR4iEWti7SOdT3UHPl6rmZU/DeaIm38P2O2OkgA=","mode":"force-https","sts_include_subdomains":false,"sts_observed":1780041835.97615},{"expiry":1810638866.791394,"host":"rBPMDlZ3oSoS5nWA5b3qh68smMftsPTTcEHPHa/8Asc=","mode":"force-https","sts_include_subdomains":true,"sts_observed":1779102866.791399},{"expiry":1811589856.718672,"host":"5EdUoB7YUY9zZV+2DkgVXgho8WUvp+D+6KpeUOhNQIM=","mode":"force-https","sts_include_subdomains":false,"sts_observed":1780053856.718678},{"expiry":1811589856.814671,"host":"8/RrMmQlCD2Gsp14wUCE1P8r7B2C5+yE0+g79IPyRsc=","mode":"force-https","sts_include_subdomains":true,"sts_observed":1780053856.814676}],"version":2}
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
Binary file not shown.
@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:34:01.390 1690 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Session Storage/MANIFEST-000001
|
||||
2026/05/28-09:34:01.393 1690 Recovering log #4
|
||||
2026/05/28-09:34:01.411 1690 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Session Storage/000004.log
|
||||
2026/05/29-13:24:16.313 988 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Session Storage/MANIFEST-000001
|
||||
2026/05/29-13:24:16.314 988 Recovering log #7
|
||||
2026/05/29-13:24:16.318 988 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Session Storage/000007.log
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:20:53.976 57f0 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Session Storage/MANIFEST-000001
|
||||
2026/05/28-09:20:53.978 57f0 Recovering log #4
|
||||
2026/05/28-09:20:53.995 57f0 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Session Storage/000004.log
|
||||
2026/05/29-13:17:37.578 6a60 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Session Storage/MANIFEST-000001
|
||||
2026/05/29-13:17:37.580 6a60 Recovering log #7
|
||||
2026/05/29-13:17:37.611 6a60 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Session Storage/000007.log
|
||||
|
||||
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@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:34:01.159 3804 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Site Characteristics Database/MANIFEST-000001
|
||||
2026/05/28-09:34:01.161 3804 Recovering log #3
|
||||
2026/05/28-09:34:01.161 3804 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Site Characteristics Database/000003.log
|
||||
2026/05/29-13:24:16.027 3a94 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Site Characteristics Database/MANIFEST-000001
|
||||
2026/05/29-13:24:16.029 3a94 Recovering log #3
|
||||
2026/05/29-13:24:16.030 3a94 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Site Characteristics Database/000003.log
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:20:53.754 56d0 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Site Characteristics Database/MANIFEST-000001
|
||||
2026/05/28-09:20:53.757 56d0 Recovering log #3
|
||||
2026/05/28-09:20:53.758 56d0 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Site Characteristics Database/000003.log
|
||||
2026/05/29-13:17:37.311 662c Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Site Characteristics Database/MANIFEST-000001
|
||||
2026/05/29-13:17:37.316 662c Recovering log #3
|
||||
2026/05/29-13:17:37.316 662c Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Site Characteristics Database/000003.log
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:34:01.147 5b28 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Sync Data\LevelDB/MANIFEST-000001
|
||||
2026/05/28-09:34:01.153 5b28 Recovering log #3
|
||||
2026/05/28-09:34:01.153 5b28 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Sync Data\LevelDB/000003.log
|
||||
2026/05/29-13:24:16.017 6b88 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Sync Data\LevelDB/MANIFEST-000001
|
||||
2026/05/29-13:24:16.020 6b88 Recovering log #3
|
||||
2026/05/29-13:24:16.021 6b88 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Sync Data\LevelDB/000003.log
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:20:53.750 28cc Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Sync Data\LevelDB/MANIFEST-000001
|
||||
2026/05/28-09:20:53.756 28cc Recovering log #3
|
||||
2026/05/28-09:20:53.757 28cc Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Sync Data\LevelDB/000003.log
|
||||
2026/05/29-13:17:37.299 6564 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Sync Data\LevelDB/MANIFEST-000001
|
||||
2026/05/29-13:17:37.306 6564 Recovering log #3
|
||||
2026/05/29-13:17:37.306 6564 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\Sync Data\LevelDB/000003.log
|
||||
|
||||
Binary file not shown.
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@@ -1 +1 @@
|
||||
v10*κE0Iω4ΗΎη4�"�7>ΑXι�zE@κ‰Λ[�ρ�σί�Ο‡!�,�σΥ³ξxΉ#PΎ“ρτΟΣπ
|
||||
v10Œ%4Â{}x |P„Ì1d’lðá[5²ilpÒ(÷Z ON~ éøBîžl\Û´²ÂD”°�²%¥Ðɺê»
|
||||
Binary file not shown.
@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:34:01.405 26f4 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db/MANIFEST-000001
|
||||
2026/05/28-09:34:01.406 26f4 Recovering log #3
|
||||
2026/05/28-09:34:01.408 26f4 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db/000003.log
|
||||
2026/05/29-13:24:16.339 6b88 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db/MANIFEST-000001
|
||||
2026/05/29-13:24:16.339 6b88 Recovering log #3
|
||||
2026/05/29-13:24:16.341 6b88 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db/000003.log
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:20:53.995 28cc Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db/MANIFEST-000001
|
||||
2026/05/28-09:20:53.996 28cc Recovering log #3
|
||||
2026/05/28-09:20:53.997 28cc Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db/000003.log
|
||||
2026/05/29-13:17:37.597 5d84 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db/MANIFEST-000001
|
||||
2026/05/29-13:17:37.598 5d84 Recovering log #3
|
||||
2026/05/29-13:17:37.600 5d84 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db/000003.log
|
||||
|
||||
Binary file not shown.
@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:34:01.398 26f4 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db\metadata/MANIFEST-000001
|
||||
2026/05/28-09:34:01.399 26f4 Recovering log #3
|
||||
2026/05/28-09:34:01.399 26f4 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db\metadata/000003.log
|
||||
2026/05/29-13:24:16.334 6b88 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db\metadata/MANIFEST-000001
|
||||
2026/05/29-13:24:16.334 6b88 Recovering log #3
|
||||
2026/05/29-13:24:16.335 6b88 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db\metadata/000003.log
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
2026/05/28-09:20:53.987 28cc Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db\metadata/MANIFEST-000001
|
||||
2026/05/28-09:20:53.988 28cc Recovering log #3
|
||||
2026/05/28-09:20:53.988 28cc Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db\metadata/000003.log
|
||||
2026/05/29-13:17:37.591 5d84 Reusing MANIFEST U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db\metadata/MANIFEST-000001
|
||||
2026/05/29-13:17:37.592 5d84 Recovering log #3
|
||||
2026/05/29-13:17:37.592 5d84 Reusing old log U:\PythonProject\Janssen\Covance_UCO3001\browser_profile\Default\shared_proto_db\metadata/000003.log
|
||||
|
||||
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@@ -1 +1 @@
|
||||
{"autofill":{"ablation_seed":"Pts3KboF9Gg="},"breadcrumbs":{"enabled":false,"enabled_time":"13423576449583774"},"browser":{"shortcut_migration_version":"145.0.7632.6","whats_new":{"enabled_order":["ReadAnythingReadAloud","SideBySide","PdfInk2"]}},"chrome_labs_activation_threshold":89,"chrome_labs_new_badge_dict":{},"hardware_acceleration_mode_previous":true,"legacy":{"profile":{"name":{"migrated":true}}},"local":{"password_hash_data_list":[]},"management":{"platform":{"azure_active_directory":8,"enterprise_mdm_win":0}},"network_time":{"network_time_mapping":{"local":1.77994815531412e+12,"network":1.779948155236e+12,"ticks":4838234648.0,"uncertainty":10134021.0}},"os_crypt":{"audit_enabled":true,"encrypted_key":"RFBBUEkBAAAA0Iyd3wEV0RGMegDAT8KX6wEAAADkezkwH4wQT6pFnkj5e+nkEAAAADQAAABHAG8AbwBnAGwAZQAgAEMAaAByAG8AbQBlACAAZgBvAHIAIABUAGUAcwB0AGkAbgBnAAAAA2YAAMAAAAAQAAAAD8GdBnyhPqKO+3clLuoubgAAAAAEgAAAoAAAABAAAADMD85LpYqkKeWfmsz19kEEKAAAADmxXqsmFE4qCIFVf7fbf6Lkktqe+GmWXWIQTJb2EHCeDDclpUygwFUUAAAAxudMuaV2vqrqS22DRgyN4Bw1/aI="},"performance_intervention":{"last_daily_sample":"13424420803777120"},"policy":{"last_statistics_update":"13424420803455233"},"profile":{"info_cache":{"Default":{"active_time":1779952853.947476,"avatar_icon":"chrome://theme/IDR_PROFILE_AVATAR_26","background_apps":false,"default_avatar_fill_color":-2890755,"default_avatar_stroke_color":-16166200,"enterprise_label":"","force_signin_profile_locked":false,"gaia_given_name":"","gaia_id":"","gaia_name":"","hosted_domain":"","is_consented_primary_account":false,"is_ephemeral":false,"is_glic_eligible":false,"is_managed":0,"is_using_default_avatar":true,"is_using_default_name":true,"managed_user_id":"","metrics_bucket_index":1,"name":"Your Chromium","profile_color_seed":-16033840,"profile_highlight_color":-2890755,"signin.with_credential_provider":false,"user_name":""}},"last_active_profiles":["Default"],"metrics":{"next_bucket_index":2},"profile_counts_reported":"13424420803460889","profiles_order":["Default"]},"profile_network_context_service":{"http_cache_finch_experiment_groups":"None None None None"},"session_id_generator_last_value":"1074085646","signin":{"active_accounts_last_emitted":"13424420803387923"},"subresource_filter":{"ruleset_version":{"checksum":0,"content":"","format":0}},"tab_stats":{"discards_external":0,"discards_frozen":0,"discards_proactive":0,"discards_suggested":0,"discards_urgent":0,"last_daily_sample":"13424420803441717","max_tabs_per_window":2,"reloads_external":0,"reloads_frozen":0,"reloads_proactive":0,"reloads_suggested":0,"reloads_urgent":0,"total_tab_count_max":2,"window_count_max":1},"toast":{"non_milestone_update_toast_version":"145.0.7632.6"},"ukm":{"persisted_logs":[]},"uninstall_metrics":{"installation_date2":"1779102849"},"user_experience_metrics":{"client_id2":"43a4d29b-dfa2-4f8b-9a46-fe2351fed503","client_id_timestamp":"1779102849","limited_entropy_randomization_source":"795E664817D8383D9992183FB246CB96","log_record_id":29,"low_entropy_source3":4488,"machine_id":6709466,"pseudo_low_entropy_source":1702,"session_id":28,"stability":{"browser_last_live_timestamp":"13424427286217033","exited_cleanly":true,"saved_system_profile":"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","saved_system_profile_hash":"D84CCF82A85C1BE2C9DA241E7E58399ECE4C5019","stats_buildtime":"1768354364","stats_version":"145.0.7632.6-64-devel","system_crash_count":0}},"variations_google_groups":{"Default":[]},"was":{"restarted":false}}
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||||
{"autofill":{"ablation_seed":"Pts3KboF9Gg="},"breadcrumbs":{"enabled":false,"enabled_time":"13423576449583774"},"browser":{"shortcut_migration_version":"145.0.7632.6","whats_new":{"enabled_order":["ReadAnythingReadAloud","SideBySide","PdfInk2"]}},"chrome_labs_activation_threshold":89,"chrome_labs_new_badge_dict":{},"hardware_acceleration_mode_previous":true,"legacy":{"profile":{"name":{"migrated":true}}},"local":{"password_hash_data_list":[]},"management":{"platform":{"azure_active_directory":8,"enterprise_mdm_win":0}},"network_time":{"network_time_mapping":{"local":1.780042333499841e+12,"network":1.780042333448e+12,"ticks":8161390296.0,"uncertainty":10134152.0}},"os_crypt":{"audit_enabled":true,"encrypted_key":"RFBBUEkBAAAA0Iyd3wEV0RGMegDAT8KX6wEAAADkezkwH4wQT6pFnkj5e+nkEAAAADQAAABHAG8AbwBnAGwAZQAgAEMAaAByAG8AbQBlACAAZgBvAHIAIABUAGUAcwB0AGkAbgBnAAAAA2YAAMAAAAAQAAAAD8GdBnyhPqKO+3clLuoubgAAAAAEgAAAoAAAABAAAADMD85LpYqkKeWfmsz19kEEKAAAADmxXqsmFE4qCIFVf7fbf6Lkktqe+GmWXWIQTJb2EHCeDDclpUygwFUUAAAAxudMuaV2vqrqS22DRgyN4Bw1/aI="},"performance_intervention":{"last_daily_sample":"13424515424338664"},"policy":{"last_statistics_update":"13424515424054832"},"profile":{"info_cache":{"Default":{"active_time":1780050927.615976,"avatar_icon":"chrome://theme/IDR_PROFILE_AVATAR_26","background_apps":false,"default_avatar_fill_color":-2890755,"default_avatar_stroke_color":-16166200,"enterprise_label":"","force_signin_profile_locked":false,"gaia_given_name":"","gaia_id":"","gaia_name":"","hosted_domain":"","is_consented_primary_account":false,"is_ephemeral":false,"is_glic_eligible":false,"is_managed":0,"is_using_default_avatar":true,"is_using_default_name":true,"managed_user_id":"","metrics_bucket_index":1,"name":"Your Chromium","profile_color_seed":-16033840,"profile_highlight_color":-2890755,"signin.with_credential_provider":false,"user_name":""}},"last_active_profiles":[],"metrics":{"next_bucket_index":2},"profile_counts_reported":"13424515424059085","profiles_order":["Default"]},"profile_network_context_service":{"http_cache_finch_experiment_groups":"None None None None"},"session_id_generator_last_value":"1074088497","signin":{"active_accounts_last_emitted":"13424515423988667"},"subresource_filter":{"ruleset_version":{"checksum":0,"content":"","format":0}},"tab_stats":{"discards_external":0,"discards_frozen":0,"discards_proactive":0,"discards_suggested":0,"discards_urgent":0,"last_daily_sample":"13424515424040457","max_tabs_per_window":2,"reloads_external":0,"reloads_frozen":0,"reloads_proactive":0,"reloads_suggested":0,"reloads_urgent":0,"total_tab_count_max":2,"window_count_max":1},"toast":{"non_milestone_update_toast_version":"145.0.7632.6"},"ukm":{"persisted_logs":[]},"uninstall_metrics":{"installation_date2":"1779102849"},"user_experience_metrics":{"client_id2":"43a4d29b-dfa2-4f8b-9a46-fe2351fed503","client_id_timestamp":"1779102849","limited_entropy_randomization_source":"795E664817D8383D9992183FB246CB96","log_record_id":50,"low_entropy_source3":4488,"machine_id":6709466,"pseudo_low_entropy_source":1702,"session_id":49,"stability":{"browser_last_live_timestamp":"13424527980612017","exited_cleanly":true,"saved_system_profile":"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","saved_system_profile_hash":"9DC8C008783143F7F046BE60F9A2BA31B59BCA3C","stats_buildtime":"1768354364","stats_version":"145.0.7632.6-64-devel","system_crash_count":0}},"variations_google_groups":{"Default":[]},"was":{"restarted":false}}
|
||||
Binary file not shown.
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@@ -1,525 +0,0 @@
|
||||
import glob
|
||||
import os
|
||||
import shutil
|
||||
import pandas as pd
|
||||
from openpyxl import load_workbook
|
||||
from openpyxl.styles import Font, PatternFill, Border, Side, Alignment
|
||||
from openpyxl.utils import get_column_letter
|
||||
from datetime import date, datetime
|
||||
|
||||
# Paths
|
||||
src_dir = os.path.dirname(os.path.abspath(__file__)) + "/"
|
||||
out_dir = "U:/Dropbox/!!!Days/Downloads Z230/"
|
||||
|
||||
# Find source files
|
||||
src_files = glob.glob(src_dir + "Protocol 77242113UCO3001 - All Samples*.xlsx")
|
||||
assert src_files, "Source file not found!"
|
||||
src_file = src_files[0]
|
||||
print(f"Source xlsx: {src_file}")
|
||||
|
||||
csv_files = glob.glob(src_dir + "_EDCStdRpt-DataListing.csv")
|
||||
assert csv_files, "CSV file not found!"
|
||||
csv_file = csv_files[0]
|
||||
print(f"Source csv: {csv_file}")
|
||||
|
||||
kit_csv_files = glob.glob(src_dir + "sponsor-study-36940-kit-inventory-on-hand-expiration.csv")
|
||||
assert kit_csv_files, "Kit inventory CSV not found!"
|
||||
kit_csv_file = kit_csv_files[0]
|
||||
print(f"Kit csv: {kit_csv_file}")
|
||||
|
||||
eq_csv_files = glob.glob(src_dir + "sponsor-study-36940-activity-reports-documents-equery.csv")
|
||||
assert eq_csv_files, "eQuery CSV not found!"
|
||||
eq_csv_file = eq_csv_files[0]
|
||||
print(f"eQuery csv: {eq_csv_file}")
|
||||
|
||||
timestamp = datetime.now().strftime("%Y-%m-%d_%H%M%S")
|
||||
out_filename = f"{timestamp} 77242113UCO3001 CZE Labcorp samples and kit inventory report.xlsx"
|
||||
out_path = out_dir + out_filename
|
||||
|
||||
# Copy source file to output — preserves all formatting perfectly
|
||||
shutil.copy2(src_file, out_path)
|
||||
|
||||
# Load data with pandas for analysis
|
||||
df = pd.read_excel(src_file, sheet_name=0, header=0)
|
||||
|
||||
# All unique patients
|
||||
all_patients = sorted(df['Patient No.'].dropna().unique())
|
||||
|
||||
# BXSCR and DNA rows
|
||||
bxscr = df[df['Protocol Visit Code'] == 'BXSCR']
|
||||
dna = df[df['Protocol Visit Code'] == 'DNA']
|
||||
|
||||
# Parse date value to datetime object
|
||||
def fmt_date(val):
|
||||
if pd.isna(val):
|
||||
return None
|
||||
if isinstance(val, str):
|
||||
return datetime.strptime(val, '%d-%b-%Y')
|
||||
return pd.to_datetime(val).to_pydatetime()
|
||||
|
||||
OK_STATUSES = {'Received', 'In Inventory', 'Shipped'}
|
||||
|
||||
def get_specimen_info(visit_df, patient, specimen_type=None):
|
||||
rows = visit_df[visit_df['Patient No.'] == patient]
|
||||
if specimen_type:
|
||||
rows = rows[rows['Specimen Type'] == specimen_type]
|
||||
rows = rows[rows['Sample Status'].isin(OK_STATUSES)]
|
||||
if rows.empty:
|
||||
return '', None
|
||||
row = rows.iloc[0]
|
||||
return fmt_date(row['Container Receipt Date']), rows.index[0] + 2
|
||||
|
||||
def get_label_info(patient, label_code, visit_code):
|
||||
rows = df[(df['Patient No.'] == patient) &
|
||||
(df['Protocol Visit Code'] == visit_code) &
|
||||
(df['Container Label Line 1'] == label_code)]
|
||||
rows = rows[rows['Sample Status'].isin(OK_STATUSES)]
|
||||
if rows.empty:
|
||||
return '', None
|
||||
row = rows.iloc[0]
|
||||
return fmt_date(row['Container Receipt Date']), rows.index[0] + 2
|
||||
|
||||
# Open copied workbook and add analysis sheet
|
||||
out_wb = load_workbook(out_path)
|
||||
|
||||
# Rename and autofit first sheet
|
||||
src_ws = out_wb.active
|
||||
src_ws.title = "Zdroj"
|
||||
for col in src_ws.columns:
|
||||
max_len = max((len(str(cell.value)) if cell.value is not None else 0) for cell in col)
|
||||
src_ws.column_dimensions[get_column_letter(col[0].column)].width = min(max_len + 2, 50)
|
||||
|
||||
# ── Styly ────────────────────────────────────────────────────────────────────
|
||||
thin = Side(style='thin')
|
||||
border = Border(left=thin, right=thin, top=thin, bottom=thin)
|
||||
header_fill = PatternFill("solid", fgColor="4472C4")
|
||||
header_font = Font(name='Calibri', bold=True, size=11, color="FFFFFF")
|
||||
data_font = Font(name='Calibri', size=11)
|
||||
date_font_link = Font(name='Calibri', size=11, color="000000", underline='single')
|
||||
yes_fill = PatternFill("solid", fgColor="E2EFDA")
|
||||
no_fill = PatternFill("solid", fgColor="FFE7E7")
|
||||
sum_header_font = Font(name='Calibri', bold=True, size=11, color="000000")
|
||||
sum_total_font = Font(name='Calibri', bold=True, size=11)
|
||||
zero_font = Font(name='Calibri', size=11, color="BFBFBF")
|
||||
zero_red_font = Font(name='Calibri', size=11, color="C00000")
|
||||
dark_blue_fill = PatternFill("solid", fgColor="203764")
|
||||
orange_fill = PatternFill("solid", fgColor="FFF2CC")
|
||||
green_fill = PatternFill("solid", fgColor="E2EFDA")
|
||||
total_fill = PatternFill("solid", fgColor="D9E1F2")
|
||||
exp_fill = PatternFill("solid", fgColor="FFE7E7")
|
||||
ok_fill = PatternFill("solid", fgColor="E2EFDA")
|
||||
|
||||
# ── List: Přehled vzorků ──────────────────────────────────────────────────────
|
||||
analysis_ws = out_wb.create_sheet("Přehled vzorků")
|
||||
|
||||
columns = [
|
||||
("Investigator Name", 24),
|
||||
("Číslo pacienta", 20),
|
||||
("Máme biopsii SM11", 20),
|
||||
("Máme RNA", 16),
|
||||
("Máme Cryostor", 16),
|
||||
("DNA", 14),
|
||||
("PLASMPK I-0 TROUGH", 18),
|
||||
("PLASMA PK I-0 PEAK", 18),
|
||||
("SERUM ADA I-0 PRE", 18),
|
||||
("SM06/SERUM BIOM", 16),
|
||||
("SM07/WB RNA", 14),
|
||||
("SM10/FECAL", 14),
|
||||
("PLASMPK I-2 TROUGH", 18),
|
||||
("PLASMA PK I-2 PEAK", 18),
|
||||
("SERUM ADA I-2 PRE", 18),
|
||||
("STOOL I-2", 12),
|
||||
("PLASMPK I-4 TROUGH", 18),
|
||||
("PLASMA PK I-4 PEAK", 18),
|
||||
("SERUM ADA I-4 PRE", 18),
|
||||
("SM06/SERUM BIOM", 16),
|
||||
("SM07/WB RNA", 14),
|
||||
("STOOL I-4", 12),
|
||||
]
|
||||
|
||||
group_font = Font(name='Calibri', bold=True, size=11)
|
||||
group_fill = PatternFill("solid", fgColor="FFFFFF")
|
||||
group_border = Border(left=thin, right=thin, top=thin, bottom=thin)
|
||||
|
||||
groups = [
|
||||
(3, 5, "SCREENING"),
|
||||
(7, 12, "RANDOMIZACE I-0"),
|
||||
(13, 16, "I-2"),
|
||||
(17, 22, "I-4"),
|
||||
]
|
||||
for start_col, end_col, label in groups:
|
||||
analysis_ws.merge_cells(start_row=1, start_column=start_col, end_row=1, end_column=end_col)
|
||||
cell = analysis_ws.cell(row=1, column=start_col, value=label)
|
||||
cell.font = group_font
|
||||
cell.fill = group_fill
|
||||
cell.alignment = Alignment(horizontal='center', vertical='center')
|
||||
cell.border = group_border
|
||||
for c in range(start_col, end_col + 1):
|
||||
analysis_ws.cell(row=1, column=c).border = group_border
|
||||
|
||||
analysis_ws.row_dimensions[1].height = 20
|
||||
|
||||
for col_idx, (hdr, width) in enumerate(columns, 1):
|
||||
cell = analysis_ws.cell(row=2, 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)
|
||||
analysis_ws.column_dimensions[get_column_letter(col_idx)].width = width
|
||||
|
||||
analysis_ws.row_dimensions[2].height = 30
|
||||
analysis_ws.freeze_panes = "C3"
|
||||
|
||||
src_sheet_name = out_wb.sheetnames[0]
|
||||
pat_sheet_name = "Seznam pacientů"
|
||||
|
||||
_csv_df_pre = pd.read_csv(csv_file, encoding='utf-8')
|
||||
_pat_pre = _csv_df_pre[['SiteNumber', 'Subject', 'Field4Value']].copy()
|
||||
_pat_pre['Field4Value'] = _pat_pre['Field4Value'].apply(lambda v: datetime.strptime(str(v).strip(), '%d %b %Y') if pd.notna(v) else None)
|
||||
_pat_pre = _pat_pre.sort_values(['SiteNumber', 'Subject', 'Field4Value']).reset_index(drop=True)
|
||||
patient_row_map = {}
|
||||
for i, row in _pat_pre.iterrows():
|
||||
pat = row['Subject']
|
||||
if pat not in patient_row_map:
|
||||
patient_row_map[pat] = i + 2
|
||||
|
||||
bxscr_patients = sorted(bxscr['Patient No.'].dropna().unique())
|
||||
|
||||
for row_idx, patient in enumerate(bxscr_patients, 3):
|
||||
investigator = bxscr[bxscr['Patient No.'] == patient].iloc[0]['Investigator Name']
|
||||
sm11, sm11_row = get_specimen_info(bxscr, patient, 'Tissue , Paraffin Block')
|
||||
rna, rna_row = get_specimen_info(bxscr, patient, 'Biopsy RNA Later')
|
||||
cryo, cryo_row = get_specimen_info(bxscr, patient, 'Biopsy, Frozen Tissue')
|
||||
dna_date, dna_row = get_specimen_info(dna, patient)
|
||||
trough, trough_row = get_label_info(patient, 'PLASMPK I-0 TROUGH', 'I-0')
|
||||
peak, peak_row = get_label_info(patient, 'PLASMA PK I-0 PEAK', 'I-0')
|
||||
ada, ada_row = get_label_info(patient, 'SERUM ADA I-0 PRE', 'I-0')
|
||||
sm06, sm06_row = get_label_info(patient, 'SM06/SERUM BIOM', 'I-0')
|
||||
sm07, sm07_row = get_label_info(patient, 'SM07/WB RNA', 'I-0')
|
||||
sm10, sm10_row = get_label_info(patient, 'SM10/FECAL', 'I-0')
|
||||
trough2, trough2_row = get_label_info(patient, 'PLASMPK I-2 TROUGH', 'I-2')
|
||||
peak2, peak2_row = get_label_info(patient, 'PLASMA PK I-2 PEAK', 'I-2')
|
||||
ada2, ada2_row = get_label_info(patient, 'SERUM ADA I-2 PRE', 'I-2')
|
||||
stool2, stool2_row = get_label_info(patient, 'STOOL I-2', 'I-2')
|
||||
trough4, trough4_row = get_label_info(patient, 'PLASMPK I-4 TROUGH', 'I-4')
|
||||
peak4, peak4_row = get_label_info(patient, 'PLASMA PK I-4 PEAK', 'I-4')
|
||||
ada4, ada4_row = get_label_info(patient, 'SERUM ADA I-4 PRE', 'I-4')
|
||||
sm064, sm064_row = get_label_info(patient, 'SM06/SERUM BIOM', 'I-4')
|
||||
sm074, sm074_row = get_label_info(patient, 'SM07/WB RNA', 'I-4')
|
||||
stool4, stool4_row = get_label_info(patient, 'STOOL I-4', 'I-4')
|
||||
|
||||
row_data = [investigator, patient,
|
||||
(sm11, sm11_row), (rna, rna_row), (cryo, cryo_row), (dna_date, dna_row),
|
||||
(trough, trough_row), (peak, peak_row), (ada, ada_row),
|
||||
(sm06, sm06_row), (sm07, sm07_row), (sm10, sm10_row),
|
||||
(trough2, trough2_row), (peak2, peak2_row), (ada2, ada2_row), (stool2, stool2_row),
|
||||
(trough4, trough4_row), (peak4, peak4_row), (ada4, ada4_row),
|
||||
(sm064, sm064_row), (sm074, sm074_row), (stool4, stool4_row)]
|
||||
|
||||
for col_idx, value in enumerate(row_data, 1):
|
||||
if col_idx <= 2:
|
||||
cell = analysis_ws.cell(row=row_idx, column=col_idx, value=value)
|
||||
if col_idx == 2 and patient in patient_row_map:
|
||||
cell.hyperlink = f"#'{pat_sheet_name}'!B{patient_row_map[patient]}"
|
||||
cell.font = Font(name='Calibri', size=11, underline='single')
|
||||
else:
|
||||
cell.font = data_font
|
||||
else:
|
||||
dt, excel_row = value
|
||||
cell = analysis_ws.cell(row=row_idx, column=col_idx, value=dt)
|
||||
if dt and excel_row is not None:
|
||||
cell.hyperlink = f"#'{src_sheet_name}'!A{excel_row}"
|
||||
cell.font = date_font_link
|
||||
cell.fill = yes_fill
|
||||
cell.number_format = 'DD-MMM-YYYY'
|
||||
else:
|
||||
cell.font = Font(name='Calibri', size=11, color="C00000")
|
||||
cell.fill = no_fill
|
||||
cell.border = border
|
||||
cell.alignment = Alignment(horizontal='center', vertical='center')
|
||||
|
||||
# ── List: Seznam pacientů ─────────────────────────────────────────────────────
|
||||
csv_df = pd.read_csv(csv_file, encoding='utf-8')
|
||||
patients_ws = out_wb.create_sheet("Seznam pacientů")
|
||||
|
||||
pat_columns = [
|
||||
("Číslo centra", 20),
|
||||
("Číslo pacienta", 20),
|
||||
("Kód návštěvy", 20),
|
||||
("Datum návštěvy", 16),
|
||||
("Typ návštěvy", 16),
|
||||
]
|
||||
|
||||
for col_idx, (col_name, width) in enumerate(pat_columns, 1):
|
||||
cell = patients_ws.cell(row=1, column=col_idx, value=col_name)
|
||||
cell.font = header_font
|
||||
cell.fill = header_fill
|
||||
cell.border = border
|
||||
cell.alignment = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
patients_ws.column_dimensions[get_column_letter(col_idx)].width = width
|
||||
|
||||
patients_ws.row_dimensions[1].height = 30
|
||||
patients_ws.freeze_panes = "A2"
|
||||
|
||||
def parse_date_edcstd(val):
|
||||
if pd.isna(val) or str(val).strip() == '':
|
||||
return None
|
||||
try:
|
||||
return datetime.strptime(str(val).strip(), '%d %b %Y')
|
||||
except:
|
||||
return None
|
||||
|
||||
pat_df = csv_df[['SiteNumber', 'Subject', 'InstanceName', 'Field4Value', 'Field5Value']].copy()
|
||||
pat_df['Field4Value'] = pat_df['Field4Value'].apply(parse_date_edcstd)
|
||||
pat_df = pat_df.sort_values(['SiteNumber', 'Subject', 'Field4Value']).reset_index(drop=True)
|
||||
|
||||
for row_idx, row in enumerate(pat_df.itertuples(index=False), 2):
|
||||
for col_idx, value in enumerate(row, 1):
|
||||
cell = patients_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_idx == 4 and value is not None:
|
||||
cell.number_format = 'DD-MMM-YYYY'
|
||||
|
||||
# ── Kit inventory — načtení a příprava dat ────────────────────────────────────
|
||||
kit_df_raw = pd.read_csv(kit_csv_file, encoding="utf-8")
|
||||
cze = kit_df_raw[kit_df_raw["Country"] == "CZE"].copy()
|
||||
|
||||
def parse_kit_date(val):
|
||||
if pd.isna(val):
|
||||
return None
|
||||
try:
|
||||
return datetime.strptime(str(val).strip(), "%b %d, %Y")
|
||||
except:
|
||||
return None
|
||||
|
||||
cze["Shipped Date"] = cze["Shipped Date"].apply(parse_kit_date)
|
||||
cze["Expiration Date"] = cze["Expiration Date"].apply(parse_kit_date)
|
||||
cze = cze.sort_values(["Site", "Kit Type", "Expiration Date"]).reset_index(drop=True)
|
||||
|
||||
today_dt = datetime.combine(date.today(), datetime.min.time())
|
||||
|
||||
def bucket(exp_date):
|
||||
if exp_date is None:
|
||||
return None
|
||||
return "soon" if (exp_date - today_dt).days <= 30 else "ok"
|
||||
|
||||
cze["_bucket"] = cze["Expiration Date"].apply(bucket)
|
||||
|
||||
kit_order = sorted(cze["Kit Type"].unique(), key=lambda x: (str(x).lstrip("T-").zfill(5), str(x)))
|
||||
kit_desc = cze.drop_duplicates("Kit Type").set_index("Kit Type")["Description"].to_dict()
|
||||
kit_sites = sorted(cze["Site"].unique())
|
||||
|
||||
# ── Pomocná funkce pro souhrnné tabulky ───────────────────────────────────────
|
||||
def write_summary_table(ws, current_row, title, rows_data, col_a_header):
|
||||
for c in range(1, 5):
|
||||
cell = ws.cell(row=current_row, column=c)
|
||||
cell.fill = dark_blue_fill
|
||||
cell.border = border
|
||||
ws.cell(row=current_row, column=1, value=title).font = Font(name='Calibri', bold=True, size=12, color="FFFFFF")
|
||||
ws.cell(row=current_row, column=1).alignment = Alignment(horizontal="left", vertical="center")
|
||||
ws.merge_cells(start_row=current_row, start_column=1, end_row=current_row, end_column=4)
|
||||
ws.row_dimensions[current_row].height = 22
|
||||
current_row += 1
|
||||
|
||||
for col_idx, (h, f) in enumerate(zip(
|
||||
[col_a_header, "Description", "Expiruje do 30 dní", "Expiruje později"],
|
||||
[header_fill, header_fill, orange_fill, green_fill]
|
||||
), 1):
|
||||
cell = ws.cell(row=current_row, column=col_idx, value=h)
|
||||
cell.font = sum_header_font
|
||||
cell.fill = f
|
||||
cell.border = border
|
||||
cell.alignment = Alignment(horizontal="center", vertical="center", wrap_text=True)
|
||||
ws.row_dimensions[current_row].height = 28
|
||||
current_row += 1
|
||||
|
||||
totals = [0, 0]
|
||||
for col_a, col_b, n_soon, n_ok in rows_data:
|
||||
totals[0] += n_soon
|
||||
totals[1] += n_ok
|
||||
all_zero = (n_soon == 0 and n_ok == 0)
|
||||
row_vals = [col_a, col_b, n_soon, n_ok]
|
||||
row_fills = [None, None,
|
||||
orange_fill if n_soon > 0 else None,
|
||||
green_fill if n_ok > 0 else None]
|
||||
for col_idx, (val, rfill) in enumerate(zip(row_vals, row_fills), 1):
|
||||
cell = ws.cell(row=current_row, column=col_idx, value=val)
|
||||
if col_idx >= 3 and val == 0:
|
||||
cell.font = zero_red_font if all_zero else zero_font
|
||||
else:
|
||||
cell.font = data_font
|
||||
cell.border = border
|
||||
cell.alignment = Alignment(horizontal="center" if col_idx >= 2 else "left", vertical="center")
|
||||
if rfill:
|
||||
cell.fill = rfill
|
||||
current_row += 1
|
||||
|
||||
for col_idx, val in enumerate(["CELKEM", "", totals[0], totals[1]], 1):
|
||||
cell = ws.cell(row=current_row, column=col_idx, value=val)
|
||||
cell.font = sum_total_font
|
||||
cell.fill = total_fill
|
||||
cell.border = border
|
||||
cell.alignment = Alignment(horizontal="center" if col_idx >= 2 else "left", vertical="center")
|
||||
current_row += 2
|
||||
return current_row
|
||||
|
||||
# ── List: Kit Inventory CZE ───────────────────────────────────────────────────
|
||||
kit_ws = out_wb.create_sheet("Kit Inventory CZE")
|
||||
|
||||
listing_columns = [
|
||||
("Project No.", 14),
|
||||
("Region", 10),
|
||||
("Country", 10),
|
||||
("Site", 38),
|
||||
("Kit Type", 12),
|
||||
("Description", 22),
|
||||
("Accession", 18),
|
||||
("Shipped Date", 16),
|
||||
("Expiration Date", 16),
|
||||
("Days to Expiration", 20),
|
||||
]
|
||||
|
||||
for col_idx, (hdr, width) in enumerate(listing_columns, 1):
|
||||
cell = kit_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)
|
||||
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()})")
|
||||
@@ -23,6 +23,9 @@ PROFILE_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "browser_
|
||||
def login(page):
|
||||
page.goto(LOGIN_URL)
|
||||
page.wait_for_load_state("networkidle")
|
||||
if not page.get_by_label("Email").is_visible():
|
||||
print(f"Session aktivni, prihlasen: {page.url}")
|
||||
return
|
||||
page.get_by_label("Email").fill(EMAIL)
|
||||
page.get_by_role("button", name="Next").click()
|
||||
page.wait_for_load_state("networkidle")
|
||||
|
||||
@@ -45,6 +45,9 @@ REPORTS = [
|
||||
def login(page):
|
||||
page.goto(LOGIN_URL)
|
||||
page.wait_for_load_state("networkidle")
|
||||
if not page.get_by_label("Email").is_visible():
|
||||
print(f"Session aktivni, prihlasen: {page.url}")
|
||||
return
|
||||
page.get_by_label("Email").fill(EMAIL)
|
||||
page.get_by_role("button", name="Next").click()
|
||||
page.wait_for_load_state("networkidle")
|
||||
|
||||
@@ -1,11 +1,11 @@
|
||||
# =============================================================================
|
||||
# Název: download_samples_report_v1.1.py
|
||||
# Verze: 1.1
|
||||
# Datum: 2026-05-28
|
||||
# Datum: 2026-05-29
|
||||
# Popis: Automatické stažení CSV reportu All Samples ze xsp.labcorp.com pro
|
||||
# studie 77242113UCO3001 (study 36940) a 42847922MDD3003 (study 35472).
|
||||
# Aplikuje country filtr CZ, date range od FROM_DATE, čeká na stabilní
|
||||
# Record Count. Výstup do příslušné složky Source/ každé studie.
|
||||
# Aplikuje country filtr CZ, date range od FROM_DATE, čeká na zmizení
|
||||
# "Fetching Data" před exportem. Výstup do Source/ každé studie.
|
||||
# =============================================================================
|
||||
from playwright.sync_api import sync_playwright
|
||||
from datetime import datetime
|
||||
@@ -31,6 +31,9 @@ TILE_SUFFIX = "allSamples"
|
||||
def login(page):
|
||||
page.goto(LOGIN_URL)
|
||||
page.wait_for_load_state("networkidle", timeout=120000)
|
||||
if not page.get_by_label("Email").is_visible():
|
||||
print(f"Session aktivni, prihlasen: {page.url}")
|
||||
return
|
||||
page.get_by_label("Email").fill(EMAIL)
|
||||
page.get_by_role("button", name="Next").click()
|
||||
page.wait_for_load_state("networkidle", timeout=120000)
|
||||
@@ -83,19 +86,14 @@ def export_tile(page, tile_label, file_suffix, timestamp, study_id, out_dir):
|
||||
page.wait_for_load_state("networkidle", timeout=120000)
|
||||
page.wait_for_timeout(3000)
|
||||
|
||||
# Čekej dokud:
|
||||
# 1. se neobjeví "No Data Available" (= record count je 0), nebo
|
||||
# 2. record count není nenulový
|
||||
page.wait_for_function("""() => {
|
||||
const noData = document.querySelector('div.table-row.no-data');
|
||||
if (noData) return true;
|
||||
const countEl = document.querySelector('div.grid-count span');
|
||||
if (countEl) {
|
||||
const n = parseInt(countEl.innerText.trim().replace(/,/g, ''), 10);
|
||||
return !isNaN(n) && n > 0;
|
||||
}
|
||||
return false;
|
||||
}""", timeout=30000)
|
||||
# Čekej až zmizí "Fetching Data": po filtru 5s, pak opakuj kontrolu každých 5s
|
||||
page.wait_for_timeout(5000)
|
||||
for _ in range(24): # max 2 minuty
|
||||
if not page.get_by_text("Fetching Data").is_visible():
|
||||
break
|
||||
print(" Fetching Data... cekam 5s")
|
||||
page.wait_for_timeout(5000)
|
||||
page.wait_for_timeout(5000) # extra buffer po zmizení
|
||||
|
||||
if page.locator("div.table-row.no-data").is_visible():
|
||||
print(f" Record Count: 0 — preskakuji.")
|
||||
@@ -128,7 +126,12 @@ if __name__ == "__main__":
|
||||
context = p.chromium.launch_persistent_context(
|
||||
user_data_dir=PROFILE_DIR,
|
||||
headless=False,
|
||||
args=["--disable-blink-features=AutomationControlled", "--start-maximized"],
|
||||
args=[
|
||||
"--disable-blink-features=AutomationControlled",
|
||||
"--start-maximized",
|
||||
"--disable-restore-session-state",
|
||||
"--disable-session-crashed-bubble",
|
||||
],
|
||||
user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36",
|
||||
accept_downloads=True,
|
||||
no_viewport=True,
|
||||
|
||||
@@ -1,83 +0,0 @@
|
||||
# Název: download_test_results_v1.0.py
|
||||
# Verze: 1.0
|
||||
# Datum: 2026-05-28
|
||||
# Popis: Stahuje Standard Test Results ze Covance/Labcorp XSP
|
||||
# pro studii 77242113UCO3001 (study 36940, report 930556).
|
||||
# Login přes xsp.covance.com → Okta, pak přímá URL na report.
|
||||
# Výstup: timestampované CSV do adresáře Source/.
|
||||
|
||||
from playwright.sync_api import sync_playwright
|
||||
from datetime import datetime
|
||||
import os
|
||||
|
||||
EMAIL = "vbuzalka@its.jnj.com"
|
||||
PASSWORD = "%zT3Wqfc9)cWua5"
|
||||
LOGIN_URL = "https://xsp.covance.com/"
|
||||
OUT_DIR = r"U:\PythonProject\Janssen\Covance_UCO3001\Source"
|
||||
PROFILE_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "browser_profile")
|
||||
|
||||
REPORTS = [
|
||||
{
|
||||
"site": "CZ10003",
|
||||
"url": "https://xsp.labcorp.com/sponsor/study/36940/test-results/930556/standard-test-results",
|
||||
"filename": "sponsor-study-36940-test-results-930556-standard-test-results.csv",
|
||||
},
|
||||
]
|
||||
|
||||
|
||||
def login(page):
|
||||
page.goto(LOGIN_URL)
|
||||
page.wait_for_load_state("networkidle")
|
||||
page.get_by_label("Email").fill(EMAIL)
|
||||
page.get_by_role("button", name="Next").click()
|
||||
page.wait_for_load_state("networkidle")
|
||||
page.get_by_label("Password").fill(PASSWORD)
|
||||
page.get_by_role("button", name="Verify").click()
|
||||
page.wait_for_url(lambda url: "code=" not in url, timeout=60000)
|
||||
page.wait_for_load_state("networkidle", timeout=60000)
|
||||
page.wait_for_timeout(2000)
|
||||
print(f"Prihlaseni OK: {page.url}")
|
||||
|
||||
|
||||
def download_report(page, report):
|
||||
print(f"\n--- {report['site']} ---")
|
||||
page.goto(report["url"])
|
||||
page.wait_for_load_state("networkidle", timeout=60000)
|
||||
page.wait_for_timeout(3000)
|
||||
print(f"Report nacteny: {page.url}")
|
||||
|
||||
# Kliknout 3 tečky (more_horiz) vpravo od filtrovacího řádku
|
||||
page.locator("button").filter(has_text="more_horiz").last.click()
|
||||
|
||||
timestamp = datetime.now().strftime("%Y-%m-%d_%H%M%S")
|
||||
dest = os.path.join(OUT_DIR, f"{timestamp} {report['filename']}")
|
||||
|
||||
with page.expect_download(timeout=60000) as dl:
|
||||
page.get_by_text("Export to CSV").click()
|
||||
|
||||
dl.value.save_as(dest)
|
||||
print(f"Stazeno: {dest}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
with sync_playwright() as p:
|
||||
context = p.chromium.launch_persistent_context(
|
||||
user_data_dir=PROFILE_DIR,
|
||||
headless=False,
|
||||
args=["--disable-blink-features=AutomationControlled", "--start-maximized"],
|
||||
no_viewport=True,
|
||||
user_agent=(
|
||||
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
|
||||
"AppleWebKit/537.36 (KHTML, like Gecko) "
|
||||
"Chrome/136.0.0.0 Safari/537.36"
|
||||
),
|
||||
accept_downloads=True,
|
||||
)
|
||||
context.add_init_script(
|
||||
"Object.defineProperty(navigator, 'webdriver', {get: () => undefined})"
|
||||
)
|
||||
page = context.new_page()
|
||||
login(page)
|
||||
for report in REPORTS:
|
||||
download_report(page, report)
|
||||
context.close()
|
||||
@@ -1,3 +1,7 @@
|
||||
# app.py | v1.0 | 2026-05-29
|
||||
# FastAPI server pro příjem .msg a .db souborů a upload do Dropboxu.
|
||||
# Endpointy: /upload (.msg → /msgs), /upload-db (.db → /msgs/db), /upload-dropbox (→ Dropbox /!!!Days/Downloads Z230).
|
||||
|
||||
from fastapi import FastAPI, UploadFile, File, Header, HTTPException
|
||||
import shutil
|
||||
from pathlib import Path
|
||||
@@ -47,6 +51,8 @@ async def upload_db(
|
||||
raise HTTPException(status_code=401, detail="Unauthorized")
|
||||
if not file.filename.endswith(".db"):
|
||||
raise HTTPException(status_code=400, detail="Only .db files accepted")
|
||||
for old in DB_DIR.glob("*.db"):
|
||||
old.unlink()
|
||||
dest = DB_DIR / file.filename
|
||||
with dest.open("wb") as f:
|
||||
shutil.copyfileobj(file.file, f)
|
||||
|
||||
Reference in New Issue
Block a user