src/dfcx_scrapi/tools/dataframe_functions.py [815:857]:
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    ):
        """Bulk create entities from a dataframe.

        Args:
          agent_id: name parameter of the agent to update_flag - full path to
            agent
          entities_df: dataframe of bulk entities;
            required columns: display_name, value, synonyms
          update_flag: True to update_flag the entities in the agent
          language_code: Language code of the intents being uploaded. Ref:
            https://cloud.google.com/dialogflow/cx/docs/reference/language
          rate_limiter: seconds to sleep between operations.

        Returns:
          Dictionary with entity display names as keys and the
          new entity protobufs as values
        """
        meta = None

        if "meta" in entities_df.columns:
            meta = (
                entities_df.copy()[["display_name", "meta"]]
                .drop_duplicates()
                .reset_index()
            )

        i, custom_entities = 0, {}
        for entity in list(set(entities_df["display_name"])):
            one_entity = entities_df[entities_df["display_name"] == entity]
            if "meta" in locals():
                meta_ = meta[meta["display_name"] == entity]["meta"].iloc[0]
                meta_ = json.loads(meta_)
                new_entity = self.create_entity_from_dataframe(
                    display_name=entity, entity_df=one_entity, meta=meta
                )

            else:
                new_entity = self.create_entity_from_dataframe(
                    display_name=entity, entity_df=one_entity
                )

            custom_entities[entity] = new_entity
            i += 1
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src/dfcx_scrapi/tools/dataframe_functions.py [876:918]:
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    ):
        """Bulk updates entities from a dataframe.

        Args:
          agent_id: name parameter of the agent to update_flag - full path to
            agent
          entities_df: dataframe of bulk entities;
            required columns: display_name, value, synonyms
          update_flag: True to update_flag the entities in the agent
          language_code: Language code of the intents being uploaded. Ref:
          https://cloud.google.com/dialogflow/cx/docs/reference/language
          rate_limiter: seconds to sleep between operations.

        Returns:
          Dictionary with entity display names as keys and the
          new entity protobufs as values
        """
        meta = None

        if "meta" in entities_df.columns:
            meta = (
                entities_df.copy()[["display_name", "meta"]]
                .drop_duplicates()
                .reset_index()
            )

        i, custom_entities = 0, {}
        for entity in list(set(entities_df["display_name"])):
            one_entity = entities_df[entities_df["display_name"] == entity]
            if "meta" in locals():
                meta_ = meta[meta["display_name"] == entity]["meta"].iloc[0]
                meta_ = json.loads(meta_)
                new_entity = self.create_entity_from_dataframe(
                    display_name=entity, entity_df=one_entity, meta=meta
                )

            else:
                new_entity = self.create_entity_from_dataframe(
                    display_name=entity, entity_df=one_entity
                )

            custom_entities[entity] = new_entity
            i += 1
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