Delivering responses to a database using Cloud Functions

You can deliver form responses to a PostgreSQL database created in Yandex Cloud and store them there.

Step 1. Create a databaseStep 1. Create a database

1. Go to the Yandex Cloud management console and select the folder where you want to create a database.
2. In the left-hand panel, click and select Yandex Managed Service for PostgreSQL.
3. In the top-right corner, click Create cluster.
4. Configure the cluster:
   1. Under Basic parameters, fill in the Cluster name field. The name may contain uppercase and lowercase Latin letters, numbers, underscores, and hyphens.
   2. Under Database, fill in the DB name and Username fields. The names may contain uppercase and lowercase Latin letters, numbers, underscores, and hyphens.
   3. Under Database, fill in the Password field.
   4. Under Database, set the Locale for sorting (LC_COLLATE) and Charset locale (LC_CTYPE) fields to en_US.UTF8. Once you create a database, you cannot change these parameters.
   5. Under Additional settings, enable Access from the management console and Serverless access.
   6. Configure other parameters if needed. For more information, see Creating a PostgreSQL cluster.
5. Click Create cluster.
6. Wait until the new cluster's Availability field changes to Alive.

Step 2. Create a tableStep 2. Create a table

1. Go to the page of the created cluster.
2. In the left-hand panel, click SQL.
3. Select the appropriate username and database, enter the password, and click Connect.
4. Select the public schema.
5. Run the following query in the SQL editor:

   	create table answers(
   		id serial primary key,
   		answer jsonb,
   		created timestamp with time zone default now()
   	);
   

Step 3. Create a connection to the databaseStep 3. Create a connection to the database

1. In the management console, return to the folder with the new cluster.
2. In the left-hand panel, click and select Cloud Functions.
3. In the left-hand panel, click .
4. In the top-right corner, click Create connection.
5. Set up a connection:
   1. Fill in the Name field. The name may only contain lowercase Latin letters, numbers, and hyphens.
   2. In the Type field, select PostgreSQL.
   3. Fill in the Cluster, Database, User, and Password fields. Enter the same field values as you set when creating your cluster in step 1.
6. Click Create.
7. Go to the connection page and copy the Entry point field value.

Step 4. Create a service accountStep 4. Create a service account

1. In the management console, return to the folder with the new cluster.
2. In the top-right corner, click → Create service account.
3. In the service account creation window, fill in the following fields:
   1. Name; it may only contain lowercase Latin letters, numbers, and hyphens.
   2. Description; it may contain any characters.
   3. In the Roles in folder field, add the following roles:
      • serverless.functions.invoker
      • serverless.mdbProxies.user
4. Click Create.

Step 5. Create a service account keyStep 5. Create a service account key

1. In the management console, return to the folder with the new cluster.
2. Go to the Service accounts tab.
3. Select the account you need.
4. In the top panel on the account page, click Create new key → Create API key.
5. Provide a brief description for the key.
6. Click Create.
7. This will open a window with the key ID and the secret key. Store them in a secure place. You will not be able to access them after you close the window.

Step 6. Create a cloud functionStep 6. Create a cloud function

1. In the management console, return to the folder with the new cluster.

2. In the left-hand panel, click and select Cloud Functions.

3. In the top-right corner, click Create function.

4. On the function creation page, fill in the following fields:

   1. Name; it may only contain lowercase Latin letters, numbers, and hyphens.
   2. Description; it may contain any characters.

5. Select the Python programming language.

6. Create a file named requirements.txt and add the following line to it:

   	psycopg2
   

7. Create or edit a file named index.py:

   	import json
   	import psycopg2
   
   	def run_function(connection, answer, **params) -> int:
   		data = {
   			'answer': answer,
   			'params': params,
   		}
   		args = (json.dumps(data), )
   		with connection.cursor() as c:
   			c.execute('insert into answers(answer) values(%s) returning id', args)
   			rs = c.fetchone()
   
   		connection.commit()
   		return rs[0]
   
   	def get_connection(context):
   		return psycopg2.connect(
   			database="<connection_ID>",
   			user="<username>",
   			password=context.token["access_token"],
   			host="<entry_point>",
   			port=6432,
   			sslmode="require",
   		)
   
   	def handler(event, context):
   	body = json.loads(event.get('body'))
   		params = {
   			name: value
   			for name, value in body.items()
   			if name != 'answer'
   		}
   		connection = get_connection(context)
   		result = {
   			'id': run_function(connection, body.get('answer'), **params),
   		}
   
   		return {
   			'statusCode': 200,
   			'body': result,
   			'headers': {
   				'Content-Type': 'application/json',
   			}
   		}
   

   Substitute the following values in this function:

   • <connection_ID>: Value of the ID field of the database connection you created in step 3. You can copy it on the connection page.
   • <username>: Database user name that you specified in the cluster settings in step 1. You can find it in the Users tab on the cluster page.
   • <entry_point>: Value of the Entry point field of the database connection you created in step 3. You can copy it on the connection page.

8. Click Save changes.

9. On the function page, copy the value from the ID field.

Step 7. Set up integrationStep 7. Set up integration

1. Go to the form whose responses you want to deliver to the database and select the Integrations tab.
2. Select a group of actions to set up issue creation in and click Cloud Functions at the bottom of the group.
3. In the Function code field, paste the function ID that you copied in the previous step.
4. Under Parameters, you can optionally select additional parameters to be transferred to the function.
5. Click Save.

From now on, all responses from this form will be additionally saved to your database in the answers table.