An NPM module for mocking a connection to a PostgreSQL database.
The module mocks a pg module
connection to a PostgreSQL database. Both the pg.Client
and pg.Pool
classes have a query
method, therefore the mock connection can be
used to simulate an instance of either class.
Live documentation: here
To (re)generate documentation: npm run docs
Installation via npm
.
npm i --dev-save pgmock2
The idea is to simulate a connection to a database. To enable that
simulation, we need to first add
data.
// Simple type checking validation.
const PgMock2 = require('./pgmock2').default;
const client = new PgMock2();
client.add('SELECT * FROM employees where id=$1', ['number'], {
rowCount: 1,
rows: [
{ id: 1, name: 'John Smith', position: 'application developer' }
]
});
import PgMock2 from 'pgmock2';
const pg = new PgMock2();
pg.add('SELECT * FROM employees where id=$1', ['number'], {
rowCount: 1,
rows: [
{ id: 1, name: 'John Smith', position: 'application developer' }
]
});
(async function() {
const clinet = await pg.connect();
})();
The first parameter of the add
method is the query we add to the mock DB.
Later, we can use a mock connection to retrieve a response to this query. Internally, the query is normalized (disregards whitespace and is made case insensitive).
The second parameter is an array used to validate any values passed
with the query. In the example above, the $1
requires a value. In the
validation array, we pass the string number
.
Since the validation criterion is a string, the only valid values that
can be used at query time must be typeof
"number
". Functions can
also be used to validate values (described later).
If a query does not require values, simply pass an empty array.
// Quering without passing values.
client.add('SELECT * FROM employees', [], {
rowCount: 10,
rows: [
{ id: 1, name: 'John Smith', position: 'application developer' },
{ id: 2, name: 'Jane Doe', position: 'test engineer' }
// ... more employees omitted ...
]
});
The thrid parameter is the response returned if the values supplied to
to the query
method were determined to be valid.
The response MUST have the same interface as a pg.QueryResponse
.
Now we can create a mock connection and query for data.
// Get a mock db connection.
client.connect();
client.query('select * from employees where id=$1;', [1])
.then((data) => console.log(data))
.catch((err) => console.log(err.message));
Since the query is valid and the values passed are correct in number and type, we should see the expected output.
{ rowCount: 1,
rows:
[ { id: 1, name: 'John Smith', position: 'application developer' } ] }
For more advanced query value validation (beyond just simple type validation) we can use functions.
Let's say that our employee IDs must be whole numbers greater than 0. We can use a validation function like this:
// Advanced validation with functions.
const pgmock = require('pgmock2');
const pg = new pgmock();
const validateId = (id) => {
return (
typeof(id) === 'number'
&& isFinite(id)
&& id > 0
&& id === Number(id.toFixed(0)
);
}
pg.add('SELECT * FROM employees WHERE id = $1', [validateId], {
rowCount: 1,
rows: [
{ id: 1, name: 'John Smith', position: 'application developer' }
]
});
To mock a pg
Pool/PoolClient workflow.
import pgmock, { getPool } from 'pgmock2';
...
// Using pg instance from above examples.
const pool = getPool(pg);
(async function() {
const client = await pool.connect();
const res = await client.query('select * from employees');
console.log(res.rows);
client.release();
})();
Tests are found in the test
directory. To execute them, run:
npm run test
To run the tests in a docker environment:
npm run test:docker
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