---

name: feishu-bitable-query description: Query Feishu Bitable (多维表格) with server-side filter, sort, field selection, and multiple output formats. Activate when querying bitable records with conditions, filtering multidimensional table data, or when data volume is large and client-side filtering is inefficient. Preferred over feishu_bitable_list_records tool when filter expressions or full pagination is needed.

Feishu Bitable Query

Use scripts/feishu_bitable_query.py to query Bitable tables with server-side filtering. This avoids pulling all records into context and handles pagination automatically.

When to Use This Script vs the Built-in Tool

• Use this script when: filter conditions are needed, data volume is large (>100 records), need specific output format (TSV/JSONL), or need to pipe results to other scripts
• Use the built-in tool (feishu_bitable_list_records) when: simple reads, small tables, or no filter needed

Quick Reference

SCRIPT="scripts/feishu_bitable_query.py"

# Count records matching a filter
python3 $SCRIPT --app-token APP --table-id TBL --filter 'EXPR' --count

# Query with filter, compact output
python3 $SCRIPT --app-token APP --table-id TBL \
  --filter 'EXPR' \
  --compact-fields '["字段1","字段2"]' \
  --all-pages 2>/dev/null

# Query with view (uses view's built-in filter/sort)
python3 $SCRIPT --app-token APP --table-id TBL --view-id VIEW --all-pages

# TSV output for readability
python3 $SCRIPT --app-token APP --table-id TBL \
  --compact-fields '["描述","状态"]' --format tsv --all-pages 2>/dev/null

# JSONL for piping to other tools
python3 $SCRIPT --app-token APP --table-id TBL --format jsonl --all-pages 2>/dev/null

Key Options

Filter 两种模式

模式 1: 公式语法 --filter（GET List API）

CurrentValue.[字段名]="值"
AND(CurrentValue.[字段名]="值", CurrentValue.[字段2]="值2")
CurrentValue.[Owner].contains("张三")

优点：Link 字段返回完整 text。缺点：日期字段不支持范围比较。

模式 2: JSON 结构体 --filter-json（POST Search API）

--filter-json '{
  "conjunction": "and",
  "conditions": [
    {"field_name": "进度 Owner", "operator": "contains", "value": ["ou_xxx"]},
    {"field_name": "结束时间", "operator": "isGreater", "value": ["ExactDate", "1770000000000"]}
  ]
}'

支持的 operator: is, isNot, contains, doesNotContain, isEmpty, isNotEmpty, isGreater, isLess, isGreaterEqual, isLessEqual

日期字段 value 格式: ["ExactDate", "毫秒时间戳"], ["Today"], ["TheLastMonth"], ["TheNextWeek"] 等

优点：支持日期范围过滤（服务端）。缺点：DuplexLink 字段不返回 text（只返回 record_id）。

选择建议

• 需要 Link 字段文本（如「所属任务」名称）→ 用 --filter + --time-filter（本地时间过滤）
• 大量数据只需日期过滤（不关心 Link 文本）→ 用 --filter-json（服务端过滤更高效）
• 两者结合：先用 --filter-json 做粗筛，再用 --time-filter 做精细过滤

Time Filter (本地时间过滤)

飞书 API 不支持对时间戳字段做范围比较，--time-filter 在本地过滤（拉取后过滤）。

格式：字段名:规则，可多次使用。

# 前后 N 天
--time-filter '结束时间:14d'

# 未来 N 天
--time-filter '结束时间:14d+'

# 过去 N 天
--time-filter '更新:30d-'

# 晚于/早于指定日期
--time-filter '结束时间:>2026-02-16'
--time-filter '结束时间:<2026-03-16'

# 日期范围
--time-filter '结束时间:2026-02-16~2026-03-16'

# 组合多个时间过滤
--time-filter '结束时间:14d' --time-filter '更新:30d-'

Field Auto-Formatting

--compact-fields 自动处理常见字段类型：

• User 字段: [{name: "张三"}] → "张三"
• 时间戳字段 (更新/创建时间/开始时间/结束时间): 1770574521000 → "2026-02-09"
• MultiSelect: ["opt1", "opt2"] → "opt1, opt2"
• Link 字段: [{text: "xxx"}] → "xxx"

Piping Pattern

# Query → filter locally → format
python3 $SCRIPT --app-token APP --table-id TBL \
  --filter 'CurrentValue.[Owner].contains("张三")' \
  --compact-fields '["描述","状态","更新"]' \
  --format jsonl --all-pages 2>/dev/null \
  | python3 -c "
import json,sys
for line in sys.stdin:
    r = json.loads(line)
    if r.get('状态') == '执行中':
        print(f'  - {r[\"描述\"]} ({r[\"更新\"]})')
"

Auth

Script reads credentials from ~/.openclaw/openclaw.json → channels.feishu.appId/appSecret automatically. No manual token needed.

Stderr vs Stdout

• stderr: pagination progress (Page 1: 500 records...)
• stdout: query results only

Always use 2>/dev/null when piping to suppress progress output.