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Update services/qa_service/qna.py
Browse files- services/qa_service/qna.py +11 -4
services/qa_service/qna.py
CHANGED
@@ -6,6 +6,7 @@ class QAService:
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def __init__(self, conf, pinecone, model_pipeline, question, goals):
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self.conf = conf
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self.pc = pinecone['connection']
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self.embedder = pinecone['embedder']
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self.model_pipeline = model_pipeline
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self.question = question
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@@ -17,20 +18,26 @@ class QAService:
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def __exit__(self, exc_type, exc_val, exc_tb):
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print("Exiting Q&A Service")
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def retrieve_context(self):
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"""Pass embedded question into pinecone"""
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embedded_query = self.embedder.get_text_embedding(self.question)
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pinecone_index = self.pc.Index(conf['embeddings']['index_name'])
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result =
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vector=embedded_query,
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top_k=1,
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include_values=False,
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include_metadata=True
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)
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output =
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return output
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def __init__(self, conf, pinecone, model_pipeline, question, goals):
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self.conf = conf
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self.pc = pinecone['connection']
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self.pc_index = self.pc.Index(self.conf['embeddings']['index_name'])
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self.embedder = pinecone['embedder']
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self.model_pipeline = model_pipeline
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self.question = question
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def __exit__(self, exc_type, exc_val, exc_tb):
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print("Exiting Q&A Service")
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def parse_results(self, result):
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level_1 = result['matches'][0]
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level_2 = level_1['metadata']['_node_content']
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parsed = json.loads(level_2)
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return parsed
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def retrieve_context(self):
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"""Pass embedded question into pinecone"""
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embedded_query = self.embedder.get_text_embedding(self.question)
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result = self.pc_index.query(
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vector=embedded_query,
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top_k=1,
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include_values=False,
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include_metadata=True
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)
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output = self.parse_results(output)
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return output
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