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oliver
aff11c1eae
Production usage showed schema mismatches and multi-tool loops; accept common arg aliases and route agents to <=3-call alarm recipes. Co-authored-by: Cursor <cursoragent@cursor.com>
357 lines
13 KiB
Python
357 lines
13 KiB
Python
from __future__ import annotations
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import io
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import re
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from typing import Any
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from openpyxl import Workbook
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from openpyxl.utils import get_column_letter
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from runtime.tools.base import ToolSpec
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from runtime.tools.path_guard import resolve_workspace_path
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from svc.files.attachment_assets import AttachmentAssetStore
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XLSX_MIME = "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
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_MAX_SHEETS = 50
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_MAX_COLS = 200
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_MAX_ROWS = 100_000
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_MAX_CELL_CHARS = 32767
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_MAX_AUTO_WIDTH = 48
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_SHEET_NAME_RE = re.compile(r"[\[\]\*\?/\\:]")
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def _safe_sheet_name(raw: str, *, index: int, used: set[str]) -> str:
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name = _SHEET_NAME_RE.sub("_", str(raw or "").strip()) or f"Sheet{index}"
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name = name[:31]
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base = name
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n = 2
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while name.lower() in used:
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suffix = f"_{n}"
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name = (base[: max(1, 31 - len(suffix))] + suffix)[:31]
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n += 1
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used.add(name.lower())
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return name
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def _cell_value(value: Any) -> Any:
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if value is None:
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return None
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if isinstance(value, bool):
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return value
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if isinstance(value, (int, float)):
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return value
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text = str(value)
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if len(text) > _MAX_CELL_CHARS:
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return text[:_MAX_CELL_CHARS]
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return text
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def _normalize_headers(raw: Any, *, col_count: int) -> list[str]:
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if isinstance(raw, list) and raw:
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headers = [str(h) if h is not None else "" for h in raw[:_MAX_COLS]]
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while len(headers) < col_count:
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headers.append(f"col_{len(headers) + 1}")
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return headers[: max(col_count, len(headers))][:_MAX_COLS]
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return [f"col_{i + 1}" for i in range(max(1, col_count))]
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def _normalize_rows(raw: Any) -> tuple[list[list[Any]], int]:
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if not isinstance(raw, list):
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return [], 0
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rows: list[list[Any]] = []
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max_cols = 0
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for item in raw[:_MAX_ROWS]:
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if isinstance(item, dict):
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# Stable insertion order for dict rows without headers mapping.
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values = list(item.values())
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elif isinstance(item, (list, tuple)):
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values = list(item)
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else:
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values = [item]
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values = [_cell_value(v) for v in values[:_MAX_COLS]]
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max_cols = max(max_cols, len(values))
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rows.append(values)
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return rows, max_cols
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def _apply_auto_width(ws: Any, *, col_count: int, sample_rows: list[list[Any]], headers: list[str]) -> None:
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widths: list[int] = []
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for idx in range(col_count):
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best = len(str(headers[idx])) if idx < len(headers) else 0
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for row in sample_rows[:200]:
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if idx < len(row) and row[idx] is not None:
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best = max(best, min(_MAX_AUTO_WIDTH, len(str(row[idx]))))
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widths.append(min(_MAX_AUTO_WIDTH, max(8, best + 2)))
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for idx, width in enumerate(widths, start=1):
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ws.column_dimensions[get_column_letter(idx)].width = width
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def _build_workbook(sheets: list[dict[str, Any]], *, freeze_header: bool, auto_width: bool) -> tuple[bytes, list[dict[str, Any]]]:
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wb = Workbook()
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# Remove the default sheet; recreate from input for predictable naming.
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default = wb.active
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wb.remove(default)
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used_names: set[str] = set()
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summary: list[dict[str, Any]] = []
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for i, sheet in enumerate(sheets, start=1):
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if not isinstance(sheet, dict):
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continue
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rows, inferred_cols = _normalize_rows(sheet.get("rows") if sheet.get("rows") is not None else sheet.get("data"))
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headers_raw = sheet.get("headers")
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if isinstance(headers_raw, list) and headers_raw:
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col_count = max(len(headers_raw), inferred_cols, 1)
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else:
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col_count = max(inferred_cols, 1)
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headers = _normalize_headers(headers_raw, col_count=col_count)
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col_count = min(_MAX_COLS, max(len(headers), col_count))
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headers = headers[:col_count]
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title = _safe_sheet_name(str(sheet.get("name") or ""), index=i, used=used_names)
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ws = wb.create_sheet(title=title)
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ws.append(headers)
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for row in rows:
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padded = list(row[:col_count]) + [None] * max(0, col_count - len(row))
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ws.append(padded)
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if freeze_header:
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ws.freeze_panes = "A2"
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if auto_width:
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_apply_auto_width(ws, col_count=col_count, sample_rows=rows, headers=headers)
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summary.append({"name": title, "columns": col_count, "rows": len(rows)})
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if not summary:
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ws = wb.create_sheet(title="Sheet1")
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ws.append(["col_1"])
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summary.append({"name": "Sheet1", "columns": 1, "rows": 0})
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buf = io.BytesIO()
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wb.save(buf)
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return buf.getvalue(), summary
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_XLSX_EXAMPLE = {
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"name": "alarm_summary.xlsx",
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"sheets": [
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{
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"name": "by_host",
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"headers": ["host_name", "severity", "count"],
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"rows": [["NE-A", "critical", 12], ["NE-B", "major", 5]],
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}
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],
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"freeze_header": True,
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"auto_width": True,
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}
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def _coerce_sheets(args: dict[str, Any]) -> list[Any] | None:
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"""Accept common agent shapes: sheets[], or top-level headers/rows[/name]."""
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sheets_raw = args.get("sheets")
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if isinstance(sheets_raw, list) and sheets_raw:
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return sheets_raw
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# Single sheet mistaken as top-level object
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if isinstance(sheets_raw, dict) and (
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"rows" in sheets_raw or "headers" in sheets_raw or "data" in sheets_raw
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):
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return [sheets_raw]
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headers = args.get("headers")
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rows = args.get("rows")
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if rows is None:
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rows = args.get("data")
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if isinstance(rows, list):
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sheet: dict[str, Any] = {"rows": rows}
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if isinstance(headers, list):
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sheet["headers"] = headers
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title = str(args.get("sheet_name") or args.get("sheet") or "").strip()
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if title:
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sheet["name"] = title
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return [sheet]
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return None
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def write_xlsx_tool() -> ToolSpec:
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def _handler(args: dict[str, Any]) -> dict[str, Any]:
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sheets_raw = _coerce_sheets(args)
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if not sheets_raw:
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return {
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"ok": False,
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"error": "sheets_required",
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"hint": "Pass sheets=[{name, headers, rows}] (or top-level headers+rows).",
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"example": _XLSX_EXAMPLE,
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}
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if len(sheets_raw) > _MAX_SHEETS:
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return {"ok": False, "error": "too_many_sheets", "max_sheets": _MAX_SHEETS}
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filename = (
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str(args.get("name") or args.get("filename") or args.get("file_name") or "").strip()
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or "report.xlsx"
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)
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if not filename.lower().endswith(".xlsx"):
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filename = f"{filename}.xlsx"
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freeze_header = args.get("freeze_header") is not False
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auto_width = args.get("auto_width") is not False
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raw_path = str(args.get("path") or "").strip().strip('"').strip("'")
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try:
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blob, summary = _build_workbook(
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[s for s in sheets_raw if isinstance(s, dict)],
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freeze_header=freeze_header,
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auto_width=auto_width,
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)
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except Exception as exc:
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return {"ok": False, "error": "xlsx_build_failed", "detail": str(exc)}
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path_written = ""
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if raw_path:
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try:
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p = resolve_workspace_path(raw_path)
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except ValueError as exc:
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return {"ok": False, "error": str(exc)}
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if not str(p).lower().endswith(".xlsx"):
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p = p.with_suffix(".xlsx")
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try:
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p.parent.mkdir(parents=True, exist_ok=True)
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p.write_bytes(blob)
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path_written = str(p)
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except Exception as exc:
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return {"ok": False, "error": "path_write_failed", "detail": str(exc)}
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meta = AttachmentAssetStore().save_bytes(blob, filename=filename, mime=XLSX_MIME)
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out: dict[str, Any] = {
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"ok": True,
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"attachment_id": meta.attachment_id,
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"name": meta.name,
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"mime": meta.mime,
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"bytes": meta.bytes,
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"sheet_count": len(summary),
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"sheets": summary,
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"hint": (
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"Excel saved to attachment store. Not sent to channel yet. "
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"If the user asked to receive the file, call save_deliverable_attachment "
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"with this attachment_id."
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),
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}
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if path_written:
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out["path"] = path_written
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return out
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return ToolSpec(
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name="write_xlsx",
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description=(
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"Build a real .xlsx workbook from structured sheet data (headers + rows) and save it "
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"to the attachment store. Returns attachment_id/name/mime/bytes — does NOT mark "
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"deliverable and does NOT send to WhatsApp/WeChat. To deliver, call "
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"save_deliverable_attachment(attachment_id=...). Prefer this over run_command/openpyxl."
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),
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parameters={
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"type": "object",
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"properties": {
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"sheets": {
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"type": "array",
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"description": (
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"Preferred: one or more sheets [{name, headers[], rows[][]}]. "
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"If omitted, top-level headers+rows are accepted as a single sheet."
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),
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"items": {
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"type": "object",
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"properties": {
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"name": {"type": "string", "description": "Sheet tab name (max 31 chars)."},
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"headers": {
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"type": "array",
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"items": {"type": "string"},
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"description": "Column headers (first row).",
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},
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"rows": {
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"type": "array",
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"description": "Data rows: each row is an array of cell values (string/number/bool/null).",
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"items": {
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"anyOf": [
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{"type": "array"},
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{"type": "object"},
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]
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},
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},
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"data": {
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"type": "array",
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"description": "Alias for rows.",
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"items": {
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"anyOf": [
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{"type": "array"},
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{"type": "object"},
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]
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},
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},
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},
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"additionalProperties": True,
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},
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},
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"headers": {
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"type": "array",
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"items": {"type": "string"},
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"description": "Shortcut when sheets omitted: column headers for a single sheet.",
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},
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"rows": {
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"type": "array",
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"description": "Shortcut when sheets omitted: data rows for a single sheet.",
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"items": {
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"anyOf": [
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{"type": "array"},
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{"type": "object"},
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]
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},
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},
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"data": {
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"type": "array",
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"description": "Alias for top-level rows.",
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"items": {
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"anyOf": [
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{"type": "array"},
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{"type": "object"},
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]
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},
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},
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"sheet_name": {
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"type": "string",
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"description": "Shortcut sheet tab name when using top-level headers/rows.",
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},
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"sheet": {
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"type": "string",
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"description": "Alias for sheet_name.",
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},
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"name": {
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"type": "string",
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"description": "Download filename, e.g. alarm_summary.xlsx",
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},
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"filename": {
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"type": "string",
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"description": "Alias for name.",
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},
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"file_name": {
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"type": "string",
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"description": "Alias for name.",
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},
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"path": {
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"type": "string",
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"description": "Optional workspace path to also write the .xlsx file (mirror).",
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},
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"freeze_header": {
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"type": "boolean",
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"default": True,
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"description": "Freeze the header row (default true).",
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},
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"auto_width": {
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"type": "boolean",
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"default": True,
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"description": "Best-effort column width from sample cells (default true).",
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},
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},
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"required": [],
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"additionalProperties": False,
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},
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handler=_handler,
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tags=frozenset({"public", "workspace", "attachment", "xlsx"}),
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read_only=False,
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risk_level="low",
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)
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__all__ = ["write_xlsx_tool"]
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