old_contents: import os
  import mimetypes
  import json
  from plantcv.plantcv import fatal_error
  
  
  # Process results. Parse individual image output files.
  ###########################################
  def process_results(job_dir, json_file):
      """Get results from individual files. Parse the results and recompile for SQLite.
  
      Args:
          job_dir:              Intermediate file output directory.
          json_file:            Json data table filehandle object.
  
      :param job_dir: str
      :param json_file: obj
      """
  
      if os.path.exists(json_file):
          with open(json_file, 'r') as datafile:
              try:
                  data = json.load(datafile)
                  if "variables" not in data or "entities" not in data:
                      fatal_error("Invalid JSON file")
              except:
                  fatal_error("Invalid JSON file")
      else:
          # Data dictionary
          data = {"variables": {}, "entities": []}
  
  
      # Walk through the image processing job directory and process data from each file
      for (dirpath, dirnames, filenames) in os.walk(job_dir):
          for filename in filenames:
              # Make sure file is a text or json file
              if 'text/plain' in mimetypes.guess_type(filename) or 'application/json' in mimetypes.guess_type(filename):
                  # Open results file
                  with open(os.path.join(dirpath, filename)) as results:
                      obs = json.load(results)
                      data["entities"].append(obs)
                      # Keep track of all metadata variables stored
                      for vars in obs["metadata"].keys():
                          data["variables"][vars] = {"category": "metadata", "datatype": "<class 'str'>"}
                      # Keep track of all observations variables stored
                      for othervars in obs["observations"].keys():
                          data["variables"][othervars] = {"category": "observations",
                                                          "datatype": obs["observations"][othervars]["datatype"]}
  
      # Write out json file with info from all images
      with open(json_file, 'w') as datafile:
          json.dump(data, datafile)
  
  ###########################################
  
new_contents: import os
  import mimetypes
  import json
  from plantcv.plantcv import fatal_error
  
  
  # Process results. Parse individual image output files.
  ###########################################
  def process_results(job_dir, json_file):
      """Get results from individual files. Parse the results and recompile for SQLite.
  
      Args:
          job_dir:              Intermediate file output directory.
          json_file:            Json data table filehandle object.
  
      :param job_dir: str
      :param json_file: obj
      """
  
      if os.path.exists(json_file):
          with open(json_file, 'r') as datafile:
              try:
                  data = json.load(datafile)
                  if "variables" not in data or "entities" not in data:
                      fatal_error("Invalid JSON file")
              except:
                  fatal_error("Invalid JSON file")
      else:
          # Data dictionary
          data = {"variables": {}, "entities": []}
  
  
      # Walk through the image processing job directory and process data from each file
      for (dirpath, dirnames, filenames) in os.walk(job_dir):
          for filename in filenames:
              # Make sure file is a text or json file
              if 'text/plain' in mimetypes.guess_type(filename) or 'application/json' in mimetypes.guess_type(filename):
                  # Open results file
                  with open(os.path.join(dirpath, filename)) as results:
                      obs = json.load(results)
                      data["entities"].append(obs)
                      # Keep track of all metadata variables stored
                      for vars in obs["metadata"]:
                          data["variables"][vars] = {"category": "metadata", "datatype": "<class 'str'>"}
                      # Keep track of all observations variables stored
                      for othervars in obs["observations"]:
                          data["variables"][othervars] = {"category": "observations",
                                                          "datatype": obs["observations"][othervars]["datatype"]}
  
      # Write out json file with info from all images
      with open(json_file, 'w') as datafile:
          json.dump(data, datafile)
  
  ###########################################
  
subject: Remove keys method