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webvirtcloud/instances/report.py
catborise d15842a250 perf: the Logs and VM report downloads are written row by row
The workbook kept every cell as an object: a 100 000-row Logs download
took some 400 MB in a web worker. openpyxl's write-only mode writes the
rows as they come (85 MB for the same file, measured), and the Logs rows
are read as tuples, not model objects. The bold, frozen, filtered header,
the column widths and the text cells stay as they were.
2026-11-05 18:58:13 +03:00

45 lines
1.9 KiB
Python

"""An Excel workbook: rows under a bold, filterable header, and a sheet of notes."""
from io import BytesIO
from openpyxl import Workbook
from openpyxl.cell import WriteOnlyCell
from openpyxl.cell.cell import ILLEGAL_CHARACTERS_RE
from openpyxl.styles import Font
from openpyxl.utils import get_column_letter
MAX_WIDTH = 60
def workbook(title, header, rows, notes_title, notes):
"""The .xlsx file's bytes, written row by row (openpyxl's write-only mode:
a large download does not hold every cell in memory). Every text cell
stays text: openpyxl would write one starting with "=" as a formula, and
the text comes from VM names and guests."""
book = Workbook(write_only=True)
sheet = book.create_sheet(title)
# control characters (a name typed at a failed login) cannot be in the file: written as \x01
rows = [[ILLEGAL_CHARACTERS_RE.sub(lambda m: f"\\x{ord(m.group()):02x}", value) if isinstance(value, str) else value
for value in values] for values in [header, *rows]]
for index, column in enumerate(zip(*rows), start=1):
width = max(len(str(value or "")) for value in column) + 2
sheet.column_dimensions[get_column_letter(index)].width = min(width, MAX_WIDTH)
sheet.freeze_panes = "A2"
for number, values in enumerate(rows):
cells = []
for value in values:
cell = WriteOnlyCell(sheet, value=value)
if isinstance(value, str):
cell.data_type = "s"
if number == 0:
cell.font = Font(bold=True)
cells.append(cell)
sheet.append(cells)
sheet.auto_filter.ref = f"A1:{get_column_letter(len(header))}{len(rows)}"
notes_sheet = book.create_sheet(notes_title)
notes_sheet.column_dimensions["A"].width = MAX_WIDTH * 2
for line in notes:
notes_sheet.append([line])
out = BytesIO()
book.save(out)
return out.getvalue()