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feat: introduce trigger functionality (#27644)

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Signed-off-by: lyzno1 <yuanyouhuilyz@gmail.com>
Co-authored-by: Stream <Stream_2@qq.com>
Co-authored-by: lyzno1 <92089059+lyzno1@users.noreply.github.com>
Co-authored-by: zhsama <torvalds@linux.do>
Co-authored-by: Harry <xh001x@hotmail.com>
Co-authored-by: lyzno1 <yuanyouhuilyz@gmail.com>
Co-authored-by: yessenia <yessenia.contact@gmail.com>
Co-authored-by: hjlarry <hjlarry@163.com>
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This commit is contained in:
Yeuoly
2025-11-12 17:59:37 +08:00
committed by GitHub
parent ca7794305b
commit b76e17b25d
785 changed files with 41186 additions and 3725 deletions
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50
api/models/workflow.py
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@@ -1,6 +1,6 @@
import json
import logging
from collections.abc import Mapping, Sequence
from collections.abc import Generator, Mapping, Sequence
from datetime import datetime
from enum import StrEnum
from typing import TYPE_CHECKING, Any, Optional, Union, cast
@@ -303,6 +303,54 @@ class Workflow(Base):
def features_dict(self) -> dict[str, Any]:
return json.loads(self.features) if self.features else {}
def walk_nodes(
self, specific_node_type: NodeType | None = None
) -> Generator[tuple[str, Mapping[str, Any]], None, None]:
"""
Walk through the workflow nodes, yield each node configuration.
Each node configuration is a tuple containing the node's id and the node's properties.
Node properties example:
{
"type": "llm",
"title": "LLM",
"desc": "",
"variables": [],
"model":
{
"provider": "langgenius/openai/openai",
"name": "gpt-4",
"mode": "chat",
"completion_params": { "temperature": 0.7 },
},
"prompt_template": [{ "role": "system", "text": "" }],
"context": { "enabled": false, "variable_selector": [] },
"vision": { "enabled": false },
"memory":
{
"window": { "enabled": false, "size": 10 },
"query_prompt_template": "{{#sys.query#}}\n\n{{#sys.files#}}",
"role_prefix": { "user": "", "assistant": "" },
},
"selected": false,
}
For specific node type, refer to `core.workflow.nodes`
"""
graph_dict = self.graph_dict
if "nodes" not in graph_dict:
raise WorkflowDataError("nodes not found in workflow graph")
if specific_node_type:
yield from (
(node["id"], node["data"])
for node in graph_dict["nodes"]
if node["data"]["type"] == specific_node_type.value
)
else:
yield from ((node["id"], node["data"]) for node in graph_dict["nodes"])
def user_input_form(self, to_old_structure: bool = False) -> list[Any]:
# get start node from graph
if not self.graph: