code: def retrieve_text(
      entry,
      container_name,
      azure_storage_account_name="azureopendatastorage",
      azure_storage_sas_token="",
  ):
      """Retrieve body text from article of interest.
  
      Args:
          entry (pd.Series): A single row from the dataframe (df.iloc[n]).
          container_name (str): Azure storage container name.
          azure_storage_account_name (str): Azure storage account name.
          azure_storage_sas_token (str): Azure storage SAS token.
  
      Results:
          text (str): Full text of the blob as a single string.
      """
  
      try:
          filename = entry["pdf_json_files"] or entry["pmc_json_files"]
  
          # Extract text
          uri = "https://{acct}.blob.core.windows.net/{container}/{filename}{sas}".format(
              acct=azure_storage_account_name,
              container=container_name,
              filename=filename,
              sas=azure_storage_sas_token,
          )
  
          data = requests.get(
              uri, headers={"Content-type": "application/json"}
          ).json()
          text = " ".join(
              [paragraph["text"] for paragraph in data["body_text"]]
          )
  
      except Exception:
          text = ""
  
      return text
  
file_path: recommenders/recommenders/datasets/covid_utils.py
imports: import numpy
  import pandas
  import requests
label_desc: Use image node_id 5 for calling a global function with example usage: retrieve_text(entry, container_name, azure_storage_account_name, azure_storage_sas_token) and returns: text