Criando um localizador de restaurantes usando Atlas, Neurelo e AWS Lambda

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import urllib3, json

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# Put in your API Key to connect to your Neurelo environment
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NEURELO_API_KEY = ‘API_KEY’

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def lambda_handler(event, context):
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    # Setup the headers
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    headers = {
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        'X-API-KEY': NEURELO_API_KEY
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    }
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    # Creating a PoolManager instance for sending HTTP requests
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    http = urllib3.PoolManager()

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# Define the query parameters
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    params1 = {
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        'filter': '{"AND": {"borough": {"equals": "Brooklyn"}, "cuisine": {"equals": "American"}}}',
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        'take': '5',
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        'select': '{"id": false, "name": true, "borough": true, "cuisine": true}',
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    }

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import urllib3, json
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# Configure the API Key for our Neurelo environment
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NEURELO_API_KEY = 'API_KEY'
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def lambda_handler(event, context):
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    # Setup the headers
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    headers = {
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        'X-API-KEY': NEURELO_API_KEY
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    }
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    # Creating a PoolManager instance for sending HTTP requests
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    http = urllib3.PoolManager()
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    # Choose the "restaurants" collection from our Neurelo environment connected to 'sample_restaurants'
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    api1 = 'https://us-east-2.aws.neurelo.com/rest/restaurants'
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    # Define the query parameters
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    params1 = {
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        'filter': '{"AND": {"borough": {"equals": "Brooklyn"}, "cuisine": {"equals": "American"}}}',
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        'take': '5',
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        'select': '{"id": false, "name": true, "borough": true, "cuisine": true}',
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    }
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    # Send a GET request with URL parameters
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    response = http.request("GET", api1, headers=headers, fields=params1)
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    # Print results if the request was successful
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    if response.status == 200:
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        # Print the JSON content of the response
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        print ('Restaurants Endpoint: ' + json.dumps(json.loads(response.data), indent=4))

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{
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 "aggregate": "restaurants",
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 "pipeline": [
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   {
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     "$match": {
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       "borough": "Brooklyn",
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       "cuisine": "American",
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       "grades.0.grade": {
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         "$in": [
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           "A",
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           "B"
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         ]
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       },
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       "grades.1.grade": {
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         "$in": [
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           "A",
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           "B"
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         ]
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       },
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       "grades.0.score": {
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         "$gt": 10
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       }
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     }
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   },
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   {
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     "$limit": 5
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   },
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   {
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     "$group": {
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       "_id": {
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         "cuisine": "$cuisine",
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         "borough": "$borough"
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       },
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       "restaurants_info": {
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         "$push": {
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           "name": "$name"         
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}
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       }
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     }
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   }
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 ],
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 "cursor": {}
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}

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# Choose the custom-query endpoint from our Neurelo environment connected to 'sample_restaurants'
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    api2 = 'https://us-east-2.aws.neurelo.com/custom/getGoodRestaurants'
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    # Send a GET request with URL parameters
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    response = http.request("GET", api2, headers=headers)
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    if response.status == 200:
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        # Print the JSON content of the response
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        print ('Custom Query Endpoint: ' + json.dumps(json.loads(response.data), indent=4))