fangshuyu-768 4d68e09537 feat(drive): add +push shortcut for one-way local → Drive mirror (#709)
* feat(drive): add +push shortcut for one-way local → Drive mirror

Mirrors a local directory onto a Drive folder: walks --local-dir,
recursively lists --folder-token, mirrors local subdirectory structure
(including empty dirs) onto Drive via create_folder, and for each
rel_path uploads new files, overwrites already-present files, or skips
them per --if-exists. With --delete-remote --yes, any Drive type=file
entry absent locally is removed; Lark native cloud docs (docx/sheet/
bitable/mindnote/slides) and shortcuts are never overwritten or deleted.

Overwrite hits POST /open-apis/drive/v1/files/upload_all with the
existing file_token in the form body and the response's `version` is
propagated to items[].version, mirroring the markdown +overwrite
contract. Files >20MB fall back to the 3-step
upload_prepare/upload_part/upload_finish path with a single shared fd
reused via io.NewSectionReader per block.

Output is a {summary, items[]} envelope; items[].action is one of
uploaded / overwritten / skipped / folder_created / deleted_remote /
failed / delete_failed.

--delete-remote is bound to --yes upfront in Validate, same pattern as
+pull's --delete-local: a stray flag never silently deletes anything.
Path safety reuses the canonical-root walk + SafeInputPath mechanics
from the sibling +status / +pull commands.

Scopes: drive:drive.metadata:readonly + drive:file:upload +
space:folder:create. space:document:delete is intentionally NOT in the
default set — the framework's pre-flight scope check would otherwise
block plain pushes and dry-runs for callers that haven't granted delete;
--delete-remote --yes relies on the runtime DELETE call to surface
missing_scope. The skill ref calls out the scope so users running
mirror sync can grant it upfront.

13 unit tests cover the upload/overwrite/skip/delete matrix, online-doc
protection, same-name conflict between local file and native cloud doc,
empty-directory mirroring, multipart, scope/path validation, and helper
correctness. 4 dry-run e2e tests pin the request shape.

* fix(drive +push): address review — failure semantics, default skip, scope pre-check, mirror wording

- Item-level failures now bump the exit code via output.ErrBare(ExitAPI)
  while keeping the structured items[] envelope on stdout. The
  --delete-remote phase is skipped entirely when any upload / overwrite /
  folder step fails, so a partial upload never proceeds to delete remote
  orphans (a half-synced state).
- Default --if-exists flipped from "overwrite" to the safer "skip": the
  upload_all overwrite-version protocol field is still rolling out, so
  the default no longer fails a first push against a pre-populated
  folder. Callers must opt into "overwrite" explicitly.
- --delete-remote --yes now triggers a conditional space:document:delete
  scope pre-check in Validate via the new RuntimeContext.EnsureScopes
  helper, so a missing grant fails the run before any upload — instead
  of after the upload phase, which would leave orphans uncleaned.
- Description, Tips and skill doc rewritten to call this a file-level
  mirror (not a directory mirror): the command does not remove
  remote-only directories or close gaps in directory structure that
  exists only on Drive.

Tests:
- new TestDrivePushDefaultsToSkipForExistingRemote pins the new default
- new TestDrivePushSkipsDeleteAfterUploadFailure pins the half-sync
  guard and the non-zero exit on item-level failure
- new TestDrivePushExitsZeroOnCleanRun pins the inverse
- existing tests that relied on the old overwrite default now opt in
  explicitly with --if-exists=overwrite
- TestDrivePushOverwriteWithoutVersionFails updated to assert
  *output.ExitError with Code=ExitAPI
- new TestDrive_PushDryRunAcceptsDeleteRemoteWithYes (e2e) symmetric to
  the existing reject-without-yes test, pinning that EnsureScopes is a
  silent no-op when the resolver has no scope metadata

* fix(drive +push): close remaining CodeRabbit comments

Three small follow-ups on the +push review thread that were still
open after the earlier failure-semantics / default-skip / scope
pre-check fix:

- drivePushUploadAll now extracts data.file_token before checking
  larkCode, and surfaces the returned token on the partial-success
  path (non-zero code + non-empty file_token). Without this, a backend
  response where bytes already landed but code != 0 would force the
  caller to fall back to entry.FileToken and silently lose the actual
  Drive token, defeating the overwrite-error token-stability handling
  in Execute.
- TestDrivePushOverwriteWithoutVersionFails switched from "tok_keep"
  to "tok_keep_new" in the upload_all stub and now asserts that the
  returned token (not entry.FileToken) lands in items[].file_token —
  pins the contract that a regression to the fallback branch would
  otherwise pass silently.
- New TestDrivePushOverwritePartialSuccessSurfacesReturnedToken pins
  the new partial-success branch end-to-end.
- drive_push_dryrun_test.go: tightened the three Validate / cobra
  rejections from `exit != 0` to exact codes — `exit == 2` for the
  two Validate-stage rejections (--local-dir absolute,
  --delete-remote without --yes), `exit == 1` for the cobra
  required-flag check (--folder-token missing). Locks in failure
  classification so a regression that misroutes the error layer
  doesn't slip through.
2026-04-30 15:00:44 +08:00
2026-04-29 20:04:06 +08:00
2026-04-28 15:56:07 +08:00
2026-04-28 15:56:07 +08:00
2026-04-29 20:04:06 +08:00
2026-04-28 16:45:18 +08:00
2026-04-28 16:45:18 +08:00

lark-cli

License: MIT Go Version npm version

中文版 | English

The official Lark/Feishu CLI tool, maintained by the larksuite team — built for humans and AI Agents. Covers core business domains including Messenger, Docs, Base, Sheets, Slides, Calendar, Mail, Tasks, Meetings, and more, with 200+ commands and 23 AI Agent Skills.

Install · AI Agent Skills · Auth · Commands · Advanced · Security · Contributing

Why lark-cli?

  • Agent-Native Design — 23 structured Skills out of the box, compatible with popular AI tools — Agents can operate Lark with zero extra setup
  • Wide Coverage — 16 business domains, 200+ curated commands, 23 AI Agent Skills
  • AI-Friendly & Optimized — Every command is tested with real Agents, featuring concise parameters, smart defaults, and structured output to maximize Agent call success rates
  • Open Source, Zero Barriers — MIT license, ready to use, just npm install
  • Up and Running in 3 Minutes — One-click app creation, interactive login, from install to first API call in just 3 steps
  • Secure & Controllable — Input injection protection, terminal output sanitization, OS-native keychain credential storage
  • Three-Layer Architecture — Shortcuts (human & AI friendly) → API Commands (platform-synced) → Raw API (full coverage), choose the right granularity

Features

Category Capabilities
📅 Calendar View agenda, create events, invite attendees, check free/busy status, time suggestions
💬 Messenger Send/reply messages, create and manage group chats, view chat history & threads, search messages, download media
📄 Docs Create, read, update, and search documents, read/write media & whiteboards
📁 Drive Upload and download files, search docs & wiki, manage comments
📊 Base Create and manage tables, fields, records, views, dashboards, workflows, forms, roles & permissions, data aggregation & analytics
📈 Sheets Create, read, write, append, find, and export spreadsheet data
🖼️ Slides Create and manage presentations, read presentation content, and add or remove slides
Tasks Create, query, update, and complete tasks; manage task lists, subtasks, comments & reminders
📚 Wiki Create and manage knowledge spaces, nodes, and documents
👤 Contact Search users by name/email/phone, get user profiles
📧 Mail Browse, search, read emails, send, reply, forward, manage drafts, watch new mail
🎥 Meetings Search meeting records, query meeting minutes & recordings
🕐 Attendance Query personal attendance check-in records
✍️ Approval Query approval tasks, approve/reject/transfer tasks, cancel and CC instances
🎯 OKR Query, create, update OKRs; manage objective & key results, alignments, indicators and progress.
📋 Project Meegle — manage work items, schedules, and data via the standalone meegle-cli (install separately)

Installation & Quick Start

Requirements

Before you start, make sure you have:

  • Node.js (npm/npx)
  • Go v1.23+ and Python 3 (only required for building from source)

Quick Start (Human Users)

Note for AI assistants: If you are an AI Agent helping the user with installation, jump directly to Quick Start (AI Agent), which contains all the steps you need to complete.

Install

Choose one of the following methods:

Option 1 — From npm (recommended):

# Install CLI
npm install -g @larksuite/cli

# Install CLI SKILL (required)
npx skills add larksuite/cli -y -g

Option 2 — From source:

Requires Go v1.23+ and Python 3.

git clone https://github.com/larksuite/cli.git
cd cli
make install

# Install CLI SKILL (required)
npx skills add larksuite/cli -y -g

Configure & Use

# 1. Configure app credentials (one-time, interactive guided setup)
lark-cli config init

# 2. Log in (--recommend auto-selects commonly used scopes)
lark-cli auth login --recommend

# 3. Start using
lark-cli calendar +agenda

Quick Start (AI Agent)

The following steps are for AI Agents. Some steps require the user to complete actions in a browser.

Step 1 — Install

# Install CLI
npm install -g @larksuite/cli

# Install CLI SKILL (required)
npx skills add larksuite/cli -y -g

Step 2 — Configure app credentials

Run this command in the background. It will output an authorization URL — extract it and send it to the user. The command exits automatically after the user completes the setup in the browser.

lark-cli config init --new

Step 3 — Login

Same as above: run in the background, extract the authorization URL and send it to the user.

lark-cli auth login --recommend

Step 4 — Verify

lark-cli auth status

Agent Skills

Skill Description
lark-shared App config, auth login, identity switching, scope management, security rules (auto-loaded by all other skills)
lark-calendar Calendar events, agenda view, free/busy queries, time suggestions
lark-im Send/reply messages, group chat management, message search, upload/download images & files, reactions
lark-doc Create, read, update, search documents (Markdown-based)
lark-drive Upload, download files, manage permissions & comments
lark-sheets Create, read, write, append, find, export spreadsheets
lark-slides Create and manage presentations, read presentation content, and add or remove slides
lark-base Tables, fields, records, views, dashboards, data aggregation & analytics
lark-task Tasks, task lists, subtasks, reminders, member assignment
lark-mail Browse, search, read emails, send, reply, forward, draft management, watch new mail
lark-contact Search users by name/email/phone, get user profiles
lark-wiki Knowledge spaces, nodes, documents
lark-event Real-time event subscriptions (WebSocket), regex routing & agent-friendly format
lark-vc Search meeting records, query meeting minutes (summary, todos, transcript)
lark-whiteboard Whiteboard/chart DSL rendering
lark-minutes Minutes metadata & AI artifacts (summary, todos, chapters)
lark-openapi-explorer Explore underlying APIs from official docs
lark-skill-maker Custom skill creation framework
lark-attendance Query personal attendance check-in records
lark-approval Query approval tasks, approve/reject/transfer tasks, cancel and CC instances
lark-workflow-meeting-summary Workflow: meeting minutes aggregation & structured report
lark-workflow-standup-report Workflow: agenda & todo summary
lark-okr Query, create, update OKRs; manage objective & key results, alignments and indicators.

Authentication

Command Description
auth login OAuth login with interactive selection or CLI flags for scopes
auth logout Sign out and remove stored credentials
auth status Show current login status and granted scopes
auth check Verify a specific scope (exit 0 = ok, 1 = missing)
auth scopes List all available scopes for the app
auth list List all authenticated users
# Interactive login (TUI guides domain and permission level selection)
lark-cli auth login

# Filter by domain
lark-cli auth login --domain calendar,task

# Recommended auto-approval scopes
lark-cli auth login --recommend

# Exact scope
lark-cli auth login --scope "calendar:calendar:read"

# Agent mode: return verification URL immediately, non-blocking
lark-cli auth login --domain calendar --no-wait
# Resume polling later
lark-cli auth login --device-code <DEVICE_CODE>

# Identity switching: execute commands as user or bot
lark-cli calendar +agenda --as user
lark-cli im +messages-send --as bot --chat-id "oc_xxx" --text "Hello"

Three-Layer Command System

The CLI provides three levels of granularity, covering everything from quick operations to fully custom API calls:

1. Shortcuts

Prefixed with +, designed to be friendly for both humans and AI, with smart defaults, table output, and dry-run previews.

lark-cli calendar +agenda
lark-cli im +messages-send --chat-id "oc_xxx" --text "Hello"
lark-cli docs +create --api-version v2 --doc-format markdown --content $'<title>Weekly Report</title>\n# Progress\n- Completed feature X'

Run lark-cli <service> --help to see all shortcut commands.

2. API Commands

Auto-generated from Lark OAPI metadata, curated through evaluation and quality gates — 100+ commands mapped 1:1 to platform endpoints.

lark-cli calendar calendars list
lark-cli calendar events instance_view --params '{"calendar_id":"primary","start_time":"1700000000","end_time":"1700086400"}'

3. Raw API Calls

Call any Lark Open Platform endpoint directly, covering 2500+ APIs.

lark-cli api GET /open-apis/calendar/v4/calendars
lark-cli api POST /open-apis/im/v1/messages --params '{"receive_id_type":"chat_id"}' --data '{"receive_id":"oc_xxx","msg_type":"text","content":"{\"text\":\"Hello\"}"}'

Advanced Usage

Output Formats

--format json      # Full JSON response (default)
--format pretty    # Human-friendly formatted output
--format table     # Readable table
--format ndjson    # Newline-delimited JSON (for piping)
--format csv       # Comma-separated values

Pagination

--page-all                  # Auto-paginate through all pages
--page-limit 5              # Max 5 pages
--page-delay 500            # 500ms between page requests

Dry Run

For commands that may have side effects, preview the request with --dry-run first:

lark-cli im +messages-send --chat-id oc_xxx --text "hello" --dry-run

Schema Introspection

Use schema to inspect any API method's parameters, request body, response structure, supported identities, and scopes:

lark-cli schema
lark-cli schema calendar.events.instance_view
lark-cli schema im.messages.delete

Security & Risk Warnings (Read Before Use)

This tool can be invoked by AI Agents to automate operations on the Lark/Feishu Open Platform, and carries inherent risks such as model hallucinations, unpredictable execution, and prompt injection. After you authorize Lark/Feishu permissions, the AI Agent will act under your user identity within the authorized scope, which may lead to high-risk consequences such as leakage of sensitive data or unauthorized operations. Please use with caution.

To reduce these risks, the tool enables default security protections at multiple layers. However, these risks still exist. We strongly recommend that you do not proactively modify any default security settings; once relevant restrictions are relaxed, the risks will increase significantly, and you will bear the consequences.

We recommend using the Lark/Feishu bot integrated with this tool as a private conversational assistant. Do not add it to group chats or allow other users to interact with it, to avoid abuse of permissions or data leakage.

Please fully understand all usage risks. By using this tool, you are deemed to voluntarily assume all related responsibilities.

Star History

Star History Chart

Contributing

Community contributions are welcome! If you find a bug or have feature suggestions, please submit an Issue or Pull Request.

For major changes, we recommend discussing with us first via an Issue.

License

This project is licensed under the MIT License. When running, it calls Lark/Feishu Open Platform APIs. To use these APIs, you must comply with the following agreements and privacy policies:

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