feat(workflow): implement action contract management for inputs and outputs

This commit is contained in:
jxxghp
2026-06-04 21:06:25 +08:00
parent a2984530f8
commit 97cfcda03c
20 changed files with 341 additions and 10 deletions

View File

@@ -1,10 +1,14 @@
from types import SimpleNamespace
from app.schemas import ActionContext, DownloadTask, FileItem
from app.schemas.workflow import ActionResult
from app.workflow.actions import BaseAction
from app.workflow.actions import fetch_downloads as fetch_downloads_module
from app.workflow.actions import scrape_file as scrape_file_module
from app.workflow.actions.fetch_downloads import FetchDownloadsAction
from app.workflow.actions.scrape_file import ScrapeFileAction
from app.workflow.actions.fetch_rss import FetchRssAction
from app.workflow import WorkFlowManager
def test_fetch_downloads_updates_context_downloads(monkeypatch):
@@ -78,3 +82,80 @@ def test_scrape_file_keeps_workflow_action_context(monkeypatch):
assert result is context
assert result.fileitems[0].path == "/library/movie.mkv"
assert scraped == [("/library/movie.mkv", "meta", "media")]
def test_execute_with_inputs_maps_contract_inputs_outputs_and_runtime(monkeypatch):
"""新版动作桥接方法应按契约映射输入、输出和运行期信息。"""
class ContractAction(BaseAction):
"""测试动作契约桥接。"""
contract = {
"inputs": [{"name": "torrents", "label": "资源", "kind": "list"}],
"outputs": [{"name": "downloads", "label": "下载任务", "kind": "list"}],
}
@classmethod
@property
def name(cls) -> str:
return "契约动作"
@classmethod
@property
def description(cls) -> str:
return "测试契约动作"
@classmethod
@property
def data(cls) -> dict:
return {}
@property
def success(self) -> bool:
return True
def execute(self, workflow_id: int, params: dict, context: ActionContext) -> ActionContext:
"""执行测试动作。"""
_ = workflow_id, params
context.downloads = [
DownloadTask(download_id=f"{item}-hash", downloader="qbittorrent")
for item in context.torrents
]
self.job_done("完成")
return context
result = ContractAction("contract").execute_with_inputs(
workflow_id=1,
params={},
inputs={"torrents": ["movie"]},
runtime={"attempt": 1, "max_attempts": 1, "cancel_token": object()},
context=ActionContext(),
)
assert isinstance(result, ActionResult)
assert result.outputs["downloads"][0].download_id == "movie-hash"
assert result.context.runtime_state["current_action_runtime"] == {
"attempt": 1,
"max_attempts": 1,
}
path_result = ContractAction("contract").execute_with_inputs(
workflow_id=1,
params={},
inputs={"outputs.FetchRssAction.torrents": ["legacy"]},
runtime={},
context=ActionContext(),
)
assert path_result.outputs["downloads"][0].download_id == "legacy-hash"
def test_workflow_manager_list_actions_exposes_contract():
"""动作列表应返回固定输入输出契约。"""
manager = object.__new__(WorkFlowManager)
manager._actions = {"FetchRssAction": FetchRssAction}
actions = manager.list_actions()
assert actions[0]["contract"]["outputs"][0]["name"] == "torrents"
assert actions[0]["contract"]["condition_fields"][0]["label"] == "资源"

View File

@@ -40,9 +40,10 @@ def _encoded_context(context: ActionContext) -> dict:
class _FakeWorkflowManager:
"""记录执行动作的工作流管理器。"""
def __init__(self, calls, results=None):
def __init__(self, calls, results=None, contracts=None):
self.calls = calls
self.results = results or {}
self.contracts = contracts or {}
self.received_inputs = []
def execute(self, workflow_id, action, context=None, inputs=None, runtime=None, cancel_token=None):
@@ -61,6 +62,10 @@ class _FakeWorkflowManager:
result = self.execute(workflow_id, action, context)
return result.success, result.message, result.context
def get_action_contract(self, action_type):
"""获取伪动作契约。"""
return self.contracts.get(action_type) or {}
def test_workflow_executor_resumes_downstream_nodes(monkeypatch):
"""恢复执行时应释放已完成节点的后继节点。"""
@@ -346,6 +351,44 @@ def test_workflow_executor_passes_declared_inputs(monkeypatch):
}
def test_workflow_executor_uses_contract_inputs(monkeypatch):
"""未手写输入声明时应按动作契约读取上下文字段。"""
calls = []
fake_manager = _FakeWorkflowManager(
calls,
contracts={
"NeedsTorrentsAction": {
"inputs": [{"name": "torrents", "label": "资源", "kind": "list"}],
"outputs": [],
}
},
results={
"A": lambda action, context: ActionResult(
success=True,
message=f"{action.name}完成",
context=context,
outputs={"torrents": ["a", "b"]}
)
}
)
workflow = _build_workflow(
actions=[
{"id": "A", "type": "FakeAction", "name": "动作A", "data": {}},
{"id": "B", "type": "NeedsTorrentsAction", "name": "动作B", "data": {}},
],
)
monkeypatch.setattr(workflow_module, "WorkFlowManager", lambda: fake_manager)
monkeypatch.setattr(workflow_module.global_vars, "workflow_resume", lambda workflow_id: None)
monkeypatch.setattr(workflow_module.global_vars, "is_workflow_stopped", lambda workflow_id: False)
executor = workflow_module.WorkflowExecutor(workflow)
executor.execute()
b_inputs = [item for action_id, item, _, _ in fake_manager.received_inputs if action_id == "B"][0]
assert b_inputs == {"torrents": ["a", "b"]}
def test_workflow_executor_persists_structured_state(monkeypatch):
"""步骤回调应收到可持久化的结构化执行状态。"""
calls = []