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https://github.com/Sea-Haven-Industries/open-swe.git
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* Adopt upstream modular webhook skeleton (#1621) Apply the durable-interrupt-dispatch refactor: split the monolithic webapp.py into a thin routing layer plus per-source handlers in webhooks/{github,slack,linear}.py, and add completion.py, dispatch.py, and reconcile.py. Reconcile fork divergence by keeping the Bedrock/ Fireworks cross-provider fallback, the no-agent-attribution prompt policy, the dashboard-handoff re-export, and the Slack channel-info cache. ci_autofix is restored on the new dispatch model in a later commit. Refs: #80 * Port fork webhook security delta onto modular handlers Re-apply the fork's security customizations that #1621 did not carry: Linear webhook replay protection (freshness window on the signed webhookTimestamp), per-repo token-cache binding threaded through the thread token resolvers, the INTERNAL_BOT_LOGINS self-check in the review-finding-reply path, and a user-mapping cache refresh before email resolution on the issue and PR-comment paths (multi-replica staleness). Existing fork security tests pass unchanged. Refs: #80 * Restore CI auto-fix on the modular dispatch model Bring back ci_autofix.py and the ci_monitor graph that #1621 deleted, re-wiring the fork's security-reviewed PR-babysitting onto the new structure: the CI-event, autofix-toggle, and review-feedback handlers move into webhooks/github.py and the github_webhook router re-gains the check_run/check_suite/workflow_run/status routing plus the autofix command and actionable-review branches. Auto-fix runs now dispatch through dispatch_agent_run (durability + completion webhook) while keeping the deliberate batch-while-busy skip-rule via get_thread_active_status. Restore langgraph.json's ci_monitor entry and the fork autofix tests (dispatch mock + import paths re-pointed). Refs: #80 * Reformat and update docs for the modular webhook split Point CLAUDE.md and deploy/MIGRATION.md at the new webhooks/ modules and the dispatch/completion/reconcile contract, and mark the user-mapping cache-refresh fix as applied on the GitHub handlers. Refs: #80 * Restore reject backstop for autofix dispatch A burst of near-simultaneous CI events for one head SHA can slip past the busy-check before the dedupe SHA is recorded, so dispatch the autofix path with multitask_strategy=reject (dev's prior platform default) to drop duplicate concurrent creates instead of letting them interrupt each other. Also make the completion failure-reply dedup claim-then-post and drop the unreachable interrupted branch. --------- Co-authored-by: amoussa1229 <166072409+amoussa1229@users.noreply.github.com>
223 lines
7 KiB
Python
223 lines
7 KiB
Python
from __future__ import annotations
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import asyncio
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from typing import Any
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import pytest
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from agent import server
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from agent.dashboard import thread_api
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from agent.prompt import construct_system_prompt
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def test_plan_mode_prompt_included_when_enabled() -> None:
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prompt = construct_system_prompt(working_dir="/work", plan_mode=True)
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assert "Plan Mode (ACTIVE)" in prompt
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assert "read-only research-and-planning phase" in prompt
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def test_plan_mode_prompt_absent_by_default() -> None:
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prompt = construct_system_prompt(working_dir="/work")
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assert "Plan Mode (ACTIVE)" not in prompt
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def test_plan_mode_excluded_tools_cover_mutating_tools() -> None:
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excluded = server.PLAN_MODE_EXCLUDED_TOOLS
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for tool in (
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"write_file",
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"edit_file",
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"task",
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"open_pull_request",
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"request_pr_review",
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"linear_create_issue",
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"linear_update_issue",
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"linear_delete_issue",
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):
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assert tool in excluded
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# Read-only tools must stay available.
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assert "read_file" not in excluded
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assert "execute" not in excluded
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class _FakeThreadsClient:
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async def create(
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self, *, thread_id: str, metadata: dict[str, Any], if_exists: str
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) -> dict[str, Any]:
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return {"thread_id": thread_id, "metadata": metadata}
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async def update(self, *, thread_id: str, metadata: dict[str, Any]) -> dict[str, Any]:
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return {"thread_id": thread_id, "metadata": metadata}
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async def get(self, thread_id: str) -> dict[str, Any]:
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return {"thread_id": thread_id, "metadata": {}}
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class _FakeRunsClient:
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def __init__(self) -> None:
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self.configurable: dict[str, Any] | None = None
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async def create(
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self,
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thread_id: str,
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assistant_id: str,
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*,
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input: dict[str, Any],
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config: dict[str, Any],
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if_not_exists: str = "reject",
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stream_mode: list[str] | None = None,
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stream_resumable: bool = False,
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) -> dict[str, str]:
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self.configurable = config["configurable"]
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return {"run_id": "run-id"}
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class _FakeLangGraphClient:
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def __init__(self) -> None:
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self.threads = _FakeThreadsClient()
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self.runs = _FakeRunsClient()
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@pytest.fixture
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def dashboard_run_client(monkeypatch: pytest.MonkeyPatch) -> _FakeLangGraphClient:
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client = _FakeLangGraphClient()
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async def fake_get_profile(login: str) -> dict[str, Any]:
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return {}
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async def fake_ensure_token(login: str) -> None:
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return None
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async def fake_resolve_email(login: str, profile: dict[str, Any]) -> str:
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return "octo@example.com"
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monkeypatch.setattr(thread_api, "langgraph_client", lambda: client)
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monkeypatch.setattr(thread_api, "get_profile", fake_get_profile)
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monkeypatch.setattr(thread_api, "_ensure_dashboard_github_token", fake_ensure_token)
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monkeypatch.setattr(thread_api, "_resolve_run_email", fake_resolve_email)
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return client
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def _run_start_command(plan_mode: bool | None) -> dict[str, Any]:
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configurable: dict[str, Any] = {}
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if plan_mode is not None:
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configurable["plan_mode"] = plan_mode
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return {
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"method": "run.start",
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"params": {
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"input": {"messages": [{"role": "user", "content": "do work"}]},
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"config": {"configurable": configurable},
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},
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}
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def test_run_start_passes_plan_mode_when_enabled(
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dashboard_run_client: _FakeLangGraphClient,
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) -> None:
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enriched = asyncio.run(
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thread_api._enrich_run_start_command(
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"thread-id",
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"octo",
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_run_start_command(True),
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metadata={"source": "dashboard", "github_login": "octo"},
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creating=False,
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)
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)
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configurable = enriched["params"]["config"]["configurable"]
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assert configurable["plan_mode"] is True
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def test_run_start_omits_plan_mode_when_disabled(
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dashboard_run_client: _FakeLangGraphClient,
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) -> None:
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enriched = asyncio.run(
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thread_api._enrich_run_start_command(
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"thread-id",
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"octo",
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_run_start_command(None),
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metadata={"source": "dashboard", "github_login": "octo"},
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creating=False,
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)
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)
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configurable = enriched["params"]["config"]["configurable"]
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assert "plan_mode" not in configurable
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def test_thread_summary_reports_plan_mode() -> None:
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summary = thread_api._thread_summary(
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{"thread_id": "t1", "metadata": {"source": "dashboard", "plan_mode": True}}
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)
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assert summary["planMode"] is True
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summary_off = thread_api._thread_summary(
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{"thread_id": "t2", "metadata": {"source": "dashboard"}}
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)
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assert summary_off["planMode"] is False
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def test_plan_mode_guidance_section_always_present() -> None:
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"""The guidance section telling the agent about enter_plan_mode should be in every prompt."""
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prompt = construct_system_prompt(working_dir="/work", plan_mode=False)
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assert "enter_plan_mode" in prompt
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assert "Plan Mode" in prompt
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def test_plan_mode_guidance_section_present_when_enabled() -> None:
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prompt = construct_system_prompt(working_dir="/work", plan_mode=True)
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assert "enter_plan_mode" in prompt
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assert "Plan Mode (ACTIVE)" in prompt
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async def test_enter_plan_mode_tool_returns_command() -> None:
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from langchain_core.messages import ToolMessage
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from langchain_core.tools import tool as as_tool
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from langgraph.types import Command
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from agent.tools.enter_plan_mode import enter_plan_mode
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# Wrap as the agent does so the InjectedToolCallId is supplied from the call.
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wrapped = as_tool(enter_plan_mode)
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result = await wrapped.ainvoke(
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{"name": "enter_plan_mode", "args": {}, "id": "call-1", "type": "tool_call"}
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)
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assert isinstance(result, Command)
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assert result.update["plan_mode"] is True
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messages = result.update["messages"]
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assert len(messages) == 1
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assert isinstance(messages[0], ToolMessage)
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assert messages[0].tool_call_id == "call-1"
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def test_enter_plan_mode_exported() -> None:
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from agent.tools import enter_plan_mode
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assert callable(enter_plan_mode)
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def test_build_plan_approval_blocks_has_three_buttons() -> None:
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from agent.tools.slack_thread_reply import _build_plan_approval_blocks
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blocks = _build_plan_approval_blocks("Here is my plan")
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assert len(blocks) == 2
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assert blocks[0]["type"] == "section"
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actions = blocks[1]
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assert actions["type"] == "actions"
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elements = actions["elements"]
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assert len(elements) == 3
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texts = [e["text"]["text"] for e in elements]
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assert "Approve & Implement" in texts
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assert "Revise Plan" in texts
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assert "Cancel" in texts
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def test_build_plan_approval_blocks_values_have_plan_approval_type() -> None:
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import json
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from agent.tools.slack_thread_reply import _build_plan_approval_blocks
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blocks = _build_plan_approval_blocks("plan text")
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for element in blocks[1]["elements"]:
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value = json.loads(element["value"])
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assert value["type"] == "plan_approval"
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assert value["action"] in ("approve", "revise", "cancel")
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