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https://github.com/langgenius/dify.git
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Charles YaoandClaude Opus 4.8
7e83264330
Project rename across api/ + web/: modules, symbols, routes (/console/api/dify-builder/*), feature flag (DIFY_BUILDER_ENABLED), Celery queue/tasks, the 7 DB tables (via migration df1b0114de40), and regenerated contract artifacts. Behavior unchanged; 430 tests green, ruff clean. Branch renamed feat/copilot-py-backend → dify-builder. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
70 lines
2.6 KiB
Python
70 lines
2.6 KiB
Python
"""Canned default ``data`` configs for Build's node types (Slice 1 spec Sec
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9 / resolved decision: "create_node configs lift from Dify's node
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registry").
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There is no importable Python source for Dify's per-node-type default
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config -- the canonical values live in the frontend's
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``web/app/components/workflow/nodes/<type>/default.ts`` (mirrored, for LLM
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prompt-authoring, by ``core.workflow.generator.prompts.builder_prompts
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._NODE_SNIPPETS``). This module hand-maintains a literal Python copy of
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those defaults for the node types the canned Build agent needs (Slice 2):
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``start``, ``knowledge-retrieval``, ``llm``, ``end``. Extend ``_DEFAULTS``
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when a later slice (Edit) needs more types -- keep each entry byte-faithful
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to the matching ``default.ts`` ``defaultValue``.
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``default_config`` returns a deep copy every call: callers merge canned
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values (a real provider/model name, a real dataset id, ...) into the
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returned dict before using it as a ``create_node`` intent's ``config`` --
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mutating the return value must never leak into a later call.
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"""
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import copy
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from typing import Any
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from graphon.enums import BuiltinNodeTypes
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_DEFAULTS: dict[str, dict[str, Any]] = {
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# web/app/components/workflow/nodes/start/default.ts:17-19
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BuiltinNodeTypes.START: {
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"variables": [],
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},
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# web/app/components/workflow/nodes/knowledge-retrieval/default.ts:18-28
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BuiltinNodeTypes.KNOWLEDGE_RETRIEVAL: {
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"query_variable_selector": [],
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"query_attachment_selector": [],
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"dataset_ids": [],
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"retrieval_mode": "multiple",
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"multiple_retrieval_config": {
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"top_k": 4,
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"score_threshold": None,
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"reranking_enable": False,
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},
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},
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# web/app/components/workflow/nodes/llm/default.ts:44-66
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BuiltinNodeTypes.LLM: {
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"model": {
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"provider": "",
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"name": "",
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"mode": "chat",
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"completion_params": {"temperature": 0.7},
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},
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"prompt_template": [{"role": "system", "text": ""}],
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"context": {"enabled": False, "variable_selector": []},
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"vision": {"enabled": False},
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},
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# web/app/components/workflow/nodes/end/default.ts:15-17
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BuiltinNodeTypes.END: {
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"outputs": [],
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},
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}
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def default_config(node_type: str) -> dict[str, Any]:
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"""Return a fresh deep copy of ``node_type``'s canned default ``data``
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config. Raises ``ValueError`` for a node type Slice 1 doesn't cover yet.
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"""
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template = _DEFAULTS.get(node_type)
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if template is None:
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raise ValueError(f"no default config registered for node type: {node_type!r}")
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return copy.deepcopy(template)
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