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fix(node): fixed generate answer node pydantic schema
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@ -93,35 +93,20 @@ class GenerateAnswerNode(BaseNode):
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# Use tqdm to add progress bar
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for i, chunk in enumerate(tqdm(doc, desc="Processing chunks", disable=not self.verbose)):
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if self.node_config.get("schema", None) is None and len(doc) == 1:
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if len(doc) == 1:
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prompt = PromptTemplate(
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template=template_no_chunks,
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input_variables=["question"],
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partial_variables={"context": chunk.page_content,
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"format_instructions": format_instructions})
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elif self.node_config.get("schema", None) is not None and len(doc) == 1:
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prompt = PromptTemplate(
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template=template_no_chunks_with_schema,
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input_variables=["question"],
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partial_variables={"context": chunk.page_content,
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"format_instructions": format_instructions,
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"schema": self.node_config.get("schema", None)
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})
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elif self.node_config.get("schema", None) is None and len(doc) > 1:
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else:
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prompt = PromptTemplate(
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template=template_chunks,
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input_variables=["question"],
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partial_variables={"context": chunk.page_content,
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"chunk_id": i + 1,
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"format_instructions": format_instructions})
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elif self.node_config.get("schema", None) is not None and len(doc) > 1:
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prompt = PromptTemplate(
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template=template_chunks_with_schema,
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input_variables=["question"],
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partial_variables={"context": chunk.page_content,
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"chunk_id": i + 1,
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"format_instructions": format_instructions,
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"schema": self.node_config.get("schema", None)})
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# Dynamically name the chains based on their index
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chain_name = f"chunk{i+1}"
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@ -147,4 +132,4 @@ class GenerateAnswerNode(BaseNode):
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# Update the state with the generated answer
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state.update({self.output[0]: answer})
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return state
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return state
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