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core: Add metadata to graph json repr (#24131)
Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
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@ -170,7 +170,7 @@ def node_data_json(
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from langchain_core.runnables.base import Runnable, RunnableSerializable
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if isinstance(node.data, RunnableSerializable):
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return {
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json: Dict[str, Any] = {
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"type": "runnable",
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"data": {
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"id": node.data.lc_id(),
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@ -178,7 +178,7 @@ def node_data_json(
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},
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}
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elif isinstance(node.data, Runnable):
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return {
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json = {
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"type": "runnable",
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"data": {
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"id": to_json_not_implemented(node.data)["id"],
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@ -186,7 +186,7 @@ def node_data_json(
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},
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}
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elif inspect.isclass(node.data) and issubclass(node.data, BaseModel):
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return (
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json = (
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{
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"type": "schema",
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"data": node.data.schema(),
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@ -198,10 +198,13 @@ def node_data_json(
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}
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)
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else:
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return {
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json = {
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"type": "unknown",
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"data": node_data_str(node.id, node.data),
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}
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if node.metadata is not None:
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json["metadata"] = node.metadata
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return json
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@dataclass
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@ -57,6 +57,7 @@ def test_graph_sequence(snapshot: SnapshotAssertion) -> None:
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"id": ["langchain_core", "language_models", "fake", "FakeListLLM"],
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"name": "FakeListLLM",
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},
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"metadata": {"key": 2},
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},
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{
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"id": 3,
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@ -111,6 +112,7 @@ def test_graph_sequence(snapshot: SnapshotAssertion) -> None:
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"id": ["langchain_core", "language_models", "fake", "FakeListLLM"],
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"name": "FakeListLLM",
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},
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"metadata": {"key": 2},
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},
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{
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"id": 3,
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