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Fix for custom template in OpenAIAnswerGenerator (#4220)
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@ -138,7 +138,7 @@ class OpenAIAnswerGenerator(BaseGenerator):
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else:
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# Check for required prompts
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required_params = ["context", "query"]
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if all(p in prompt_template.prompt_params for p in required_params):
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if not all(p in prompt_template.prompt_params for p in required_params):
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raise ValueError(
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"The OpenAIAnswerGenerator requires a PromptTemplate that has `context` and "
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"`query` in its `prompt_params`. Supply a different `prompt_template` or "
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@ -7,6 +7,7 @@ import pytest
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from haystack.schema import Document
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from haystack.nodes.answer_generator import Seq2SeqGenerator, OpenAIAnswerGenerator
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from haystack.pipelines import TranslationWrapperPipeline, GenerativeQAPipeline
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from haystack.nodes import PromptTemplate
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import logging
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@ -142,6 +143,26 @@ def test_openai_answer_generator(openai_generator, docs):
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assert "Carla" in prediction["answers"][0].answer
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@pytest.mark.integration
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@pytest.mark.skipif(
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not os.environ.get("OPENAI_API_KEY", None),
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reason="No OpenAI API key provided. Please export an env var called OPENAI_API_KEY containing the OpenAI API key to run this test.",
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)
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def test_openai_answer_generator_custom_template(docs):
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lfqa_prompt = PromptTemplate(
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name="lfqa",
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prompt_text="""
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Synthesize a comprehensive answer from your knowledge and the following topk most relevant paragraphs and the given question.
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\n===\Paragraphs: $context\n===\n$query""",
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prompt_params=["context", "query"],
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)
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node = OpenAIAnswerGenerator(
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api_key=os.environ.get("OPENAI_API_KEY", ""), model="text-babbage-001", top_k=1, prompt_template=lfqa_prompt
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)
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prediction = node.predict(query="Who lives in Berlin?", documents=docs, top_k=1)
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assert len(prediction["answers"]) == 1
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@pytest.mark.integration
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@pytest.mark.skipif(
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not os.environ.get("OPENAI_API_KEY", None),
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