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fix: OutputAdapter from_dict with custom_filters None (#8173)
Co-authored-by: Marie-Luise Klaus <marieluise.klaus@deepset.ai>
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@ -139,8 +139,13 @@ class OutputAdapter:
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"""
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init_params = data.get("init_parameters", {})
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init_params["output_type"] = deserialize_type(init_params["output_type"])
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for name, filter_func in init_params.get("custom_filters", {}).items():
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init_params["custom_filters"][name] = deserialize_callable(filter_func) if filter_func else None
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custom_filters = init_params.get("custom_filters", {})
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if custom_filters:
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init_params["custom_filters"] = {
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name: deserialize_callable(filter_func) if filter_func else None
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for name, filter_func in custom_filters.items()
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}
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return default_from_dict(cls, data)
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def _extract_variables(self, env: SandboxedEnvironment) -> Set[str]:
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@ -0,0 +1,4 @@
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---
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fixes:
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- |
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Fix Output Adapter from_dict method when custom_filters value is None.
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@ -129,6 +129,22 @@ class TestOutputAdapter:
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# invoke the custom filter to check if it is deserialized correctly
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assert deserialized_adapter.custom_filters["custom_filter"]("test") == "TEST"
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def test_output_adapter_from_dict_custom_filters_none(self):
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component = OutputAdapter.from_dict(
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data={
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"type": "haystack.components.converters.output_adapter.OutputAdapter",
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"init_parameters": {
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"template": "{{ documents[0].content}}",
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"output_type": "str",
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"custom_filters": None,
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},
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}
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)
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assert component.template == "{{ documents[0].content}}"
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assert component.output_type == str
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assert component.custom_filters == {}
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def test_output_adapter_in_pipeline(self):
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@component
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class DocumentProducer:
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