old_contents: # Copyright 2021 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     https://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  
  #!/usr/bin/env python3
  
  # Imports the method for fetching formatted data from google trends
  from fetch_trends import get_updated_daily_data
  
  # Imports the Google Cloud client library
  from google.cloud import datastore
  
  # for test purposes
  import time
  
  
  def get_investment_data():
      """
      Fetch investment data from database. Hard code for now.
      returns a list of ("search_term", "investment_date") tuples
      """
      search_terms = ["bananas", "censorship", "weather forecast", "giraffe", "chicken nuggets"]
      # hard coded to be exactly one week ago:
      investment_dates = [time.time() - 604800] * len(search_terms)
  
      return zip(search_terms, investment_dates)
  
  
  def test(client):
      query = client.query(kind="TrendsData")
      results = list(query.fetch()) # a list of every entry of kind TrendsData
      print(results)
  
  
  
  def update_database(data, client):
      """
      Add daily search data for term to Datastore db, overwriting old data for given search term
      """
      search_query = datastore.Entity(client.key("TrendsData", data["search_term"]))
      search_query.update(data)
      client.put(search_query)
  
  
  if __name__ == "__main__":
      # Instantiates a client
      datastore_client = datastore.Client()
      test(datastore_client)
      investments = get_investment_data()
      for investment in investments:
          daily_data = get_updated_daily_data(*investment)
          print(daily_data)
          update_database(daily_data, datastore_client)
new_contents: # Copyright 2021 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     https://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  
  #!/usr/bin/env python3
  
  # Imports the method for fetching formatted data from google trends
  from fetch_trends import get_updated_daily_data
  
  # Imports the Google Cloud client library
  from google.cloud import datastore
  
  
  def get_investment_data(client):
      """
      Fetch investment data from database.
      returns a list of ("search_term", "investment_date") tuples
      """
      search_terms = []
      investment_dates = []
  
      query = client.query(kind="TrendsData")
      results = list(query.fetch()) # a list of every entry of kind TrendsData
      for entity in results:
          search_terms.append(entity['search_term'])
          investment_dates.append(entity['initial_date'])
      return zip(search_terms, investment_dates)
  
  
  def update_database(data, client):
      """
      Add daily search data for term to Datastore db, overwriting old data for given search term
      """
      search_query = datastore.Entity(client.key("TrendsData", data["search_term"]))
      search_query.update(data)
      client.put(search_query)
  
  
  if __name__ == "__main__":
      # Instantiates a client
      datastore_client = datastore.Client()
      # Retrieve relevant data from datastore
      investments = get_investment_data(datastore_client)
      for investment in investments:
          # Retrieve up to date trends data for each search term
          daily_data = get_updated_daily_data(*investment)
          # Add up to date data do datastore
          update_database(daily_data, datastore_client)
subject: Replace hard coded data with db retrieval