bugfix

dagflow/dagflow.py

@@ -101,6 +101,19 @@ class FlowEngine:
     # ------------------------------
     # Definition / Instance
     # ------------------------------
+	def __init__(self):
+		self.aio = []
+
+	async def bgtask(self, app):
+        env = ServerEnv()
+		self.aio = []
+        async with (env, 'workflow') as sor:
+            fid = env.uuid()
+            self.aio = await sor.R('flow_instance', {'status': 'running'})
+		while True:
+			for r in self.aio:
+				self.step(r.org_id, r.id)
+			await asyncio.sleep(0.5)
 
     async def create_definition(self, org_id, name, version, dsl_text):
         env = ServerEnv()
@@ -135,7 +148,7 @@ class FlowEngine:
 
     async def step(self, org_id, instance_id):
         env = ServerEnv()
-        async with (env, 'workflow') as sor:
+        async with get_sor_context(env, 'workflow') as sor:
             insts = await sor.R('flow_instance', {
                 'id': instance_id,
                 'org_id': org_id

dagflow/init.py

@@ -0,0 +1,10 @@
+from ahserver.serverenv import ServerEnv
+from ahserver.configuredServer import add_startup
+from .dagflow import FlowEngine
+
+def load_dagflow():
+	engine = FlowEngine()
+	add_startup(engine.bgtask)
+	env = ServerEnv()
+	env.workflow_engine = engine
+

pyproject.toml

@@ -0,0 +1,22 @@
+[build-system]
+requires = ["setuptools>=61.0"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "dagflow"
+version = "0.1.0"
+description = "a module to build and run workflow"
+authors = [
+    { name="Your Name", email="you@example.com" }
+]
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+    "pydantic>=1.10",
+	"skillkit",
+    "aiohttp"
+]
+
+[tool.setuptools]
+# 明确告诉它只包含 skillagent 目录
+packages = ["dagflow"]