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chore: import upstream snapshot with attribution
2026-07-13 12:22:54 +08:00

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#!/usr/bin/env python3
# Copyright (c) 2026 Lark Technologies Pte. Ltd.
# SPDX-License-Identifier: MIT
"""DataFrame ↔ Feishu Sheet typed-JSON helpers.
This is the same 7-line snippet the skill docs already inline (see
`lark-sheets-write-cells` "DataFrame → 协议(5 行 helper" and
`lark-sheets-read-data` "输出 → DataFrame2 行 helper"), pulled out
so callers can `import` it instead of copy-pasting:
from sheets_df import df_to_sheet, sheet_to_df
Callers run lark-cli themselves; this file is a library, not a CLI.
"""
import json
import pandas as pd
def df_to_sheet(df, name, formats=None):
"""Pack one DataFrame into one entry of a `+table-put --sheets` payload."""
return {
"name": name,
**json.loads(df.to_json(orient="split", date_format="iso")),
"dtypes": df.dtypes.astype(str).to_dict(),
**({"formats": formats} if formats else {}),
}
def sheet_to_df(sheet):
"""Restore one `+table-get` sheet dict into a typed DataFrame."""
return pd.DataFrame(sheet["data"], columns=sheet["columns"]).astype(sheet["dtypes"])