name: excel-sync-bitable description: Safely import Excel/CSV data into a new or existing Feishu Base, or export a Base table to Excel/CSV. Use when a user needs Excel/CSV and Feishu Base synchronization, especially keyed upserts with a preview and post-write verification.

Excel ↔ Feishu Base

Use scripts/excel_sync_bitable.py. Require an explicit --apply before any Base write.

Preconditions

• Confirm the input file, Base URL, target table and business-key column.
• Run lark-cli auth status if the user identity or permission is uncertain.
• Use a Base URL, not a guessed token. The script resolves it with base +url-resolve.

Commands

Preview a keyed sync (no write):

python scripts/excel_sync_bitable.py sync --input .\orders.xlsx --url "https://example.feishu.cn/base/..." --key "訂單號"

Apply the reviewed sync and read back its keys:

python scripts/excel_sync_bitable.py sync --input .\orders.xlsx --url "https://example.feishu.cn/base/..." --key "訂單號" --apply

Handle source columns that do not exist in the target Base:

# Show missing fields and their inferred types (default; no write)
python scripts/excel_sync_bitable.py sync --input .\orders.xlsx --url "https://example.feishu.cn/base/..." --key "訂單號"

# Intentionally ignore absent columns
python scripts/excel_sync_bitable.py sync --input .\orders.xlsx --url "https://example.feishu.cn/base/..." --key "訂單號" --missing-fields skip --apply

# Create absent text/number/datetime/checkbox fields, then import
python scripts/excel_sync_bitable.py sync --input .\orders.xlsx --url "https://example.feishu.cn/base/..." --key "訂單號" --missing-fields create --apply

Create a Base from a workbook:

python scripts/excel_sync_bitable.py create --input .\orders.xlsx --app-name "訂單資料" --table-name "訂單" --apply

Export one Base table:

python scripts/excel_sync_bitable.py export --url "https://example.feishu.cn/base/..." --table-name "訂單" --output .\orders.xlsx
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Safety rules

• sync updates only records whose business key matches exactly; it does not delete remote records.
• Stop on blank or duplicate keys in either the source or target table.
• For absent source columns, default to a no-write prompt with inferred types; explicitly choose --missing-fields skip or --missing-fields create --apply.
• Treat preview counts as approval material. Use --apply only after the user has confirmed the target and counts.
• The current implementation supports text, number, date/time and checkbox fields. Handle select, user, attachment, link, formula and lookup fields with a field-specific workflow instead of guessing values.

這個工具整體質量較好，安全性設計突出——預覽確認和寫後驗證機制能有效避免資料誤操作。它支援Excel和CSV匯入匯出飛書表格，智慧識別日期、數字、勾選框等資料型別。不足之處是支援的欄位型別較少，人員選擇、附件等特殊欄位暫時無法處理，另外在資料量很大時的效能表現還有待驗證。總體來說，對於常見的文本和數值同步場景，這個工具是比較可靠的選擇。