def get_conversation_logger()

in code/embedding-function/utilities/helpers/azure_search_helper.py [0:0]

• 70 lines of code
• 2 McCabe index (conditional complexity)

    def get_conversation_logger(self):
        fields = [
            SimpleField(
                name="id",
                type=SearchFieldDataType.String,
                key=True,
                filterable=True,
            ),
            SimpleField(
                name="conversation_id",
                type=SearchFieldDataType.String,
                filterable=True,
                facetable=True,
            ),
            SearchableField(
                name="content",
                type=SearchFieldDataType.String,
            ),
            SearchField(
                name="content_vector",
                type=SearchFieldDataType.Collection(SearchFieldDataType.Single),
                searchable=True,
                vector_search_dimensions=self.search_dimensions,
                vector_search_profile_name="myHnswProfile",
            ),
            SearchableField(
                name="metadata",
                type=SearchFieldDataType.String,
            ),
            SimpleField(
                name="type",
                type=SearchFieldDataType.String,
                facetable=True,
                filterable=True,
            ),
            SimpleField(
                name="user_id",
                type=SearchFieldDataType.String,
                filterable=True,
                facetable=True,
            ),
            SimpleField(
                name="sources",
                type=SearchFieldDataType.Collection(SearchFieldDataType.String),
                filterable=True,
                facetable=True,
            ),
            SimpleField(
                name="created_at",
                type=SearchFieldDataType.DateTimeOffset,
                filterable=True,
            ),
            SimpleField(
                name="updated_at",
                type=SearchFieldDataType.DateTimeOffset,
                filterable=True,
            ),
        ]

        return AzureSearch(
            azure_search_endpoint=self.env_helper.AZURE_SEARCH_SERVICE,
            azure_search_key=(
                self.env_helper.AZURE_SEARCH_KEY
                if self.env_helper.is_auth_type_keys()
                else None
            ),
            index_name=self.env_helper.AZURE_SEARCH_CONVERSATIONS_LOG_INDEX,
            embedding_function=self.llm_helper.get_embedding_model().embed_query,
            fields=fields,
            user_agent="langchain chatwithyourdata-sa",
        )