Add example monday python google cloud function

monday/google_cloud/README

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+This lambda_function is a simple / minimal example of how to integrate with the monday.com graphQL API to get back a table of boards. 
+
+It can be used by following the fivetran setup guide for google cloud functions.  Don't forget to add the accompanying requirements.txt and select a Python 3.x runtime. Python 3.8 was used to create this function.
+
+This is the structure of the data that accompanies this function in the fivetran connections "secrets" field:
+{
+    "apiKey": "your monday.com api key here",
+    "limit": 1000
+}

monday/google_cloud/lambda_function.py

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+import requests
+from datetime import datetime,timezone
+
+def get_request(query, apiKey, apiUrl):
+    headers = {"Authorization" : apiKey}
+    response = requests.post(url=apiUrl, json={'query' : query}, headers=headers)
+    if response.status_code == 200:
+        response = response.json()
+        return response["data"]
+    else:
+        return {}
+
+def build_response(data, limit, cursor_value):
+    response = dict()
+
+    response['insert'] = {"boards": []} # If we had more endpoints we could add them here
+    # and we would need to add them to the 'insert' section of the response below
+    for row in data:
+        response['insert']["boards"].append(row) 
+
+    response['state'] = {'cursor': cursor_value} if len(data) == 0 else {'cursor': datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%S")}
+    response['schema'] = {"boards": {'primary_key': ["id"]}} # If we had more endpoints, we would need to add the schemas / primary keys here as well
+    response['hasMore'] = False if len(data) < limit else True
+    return response
+
+def lambda_handler(request):
+    # Get json from request
+    request = request.get_json() 
+    # Note that get_json above is a flask function, which seems to work because google cloud functions are run
+    # in a flask based environment, even though we didn't import it explicitly or add it to requirements.txt
+
+    # Import credentials
+    # These and other parameters should be wrapped up in 'request,' which is relayed from the connector's 'secrets'
+    apiKey = request['secrets']['apiKey']
+
+    # Set state
+    try:
+        cursor_value = request['state']['cursor']
+    except KeyError:
+        cursor_value = '1970-01-01T00:00:00'
+
+    # Set the 'limit' according to your estimates of the table's size and row count
+    # Again, these can also be stored in 'request'
+    limit = request['secrets']['limit']
+
+    # Get data
+    apiUrl = "https://api.monday.com/v2"
+    boards_query = '{ boards {id name state board_folder_id } }'
+    boards_data = get_request(boards_query, apiKey=apiKey, apiUrl=apiUrl)
+
+    if len(boards_data) == 0:
+        return {}
+
+    response = build_response(boards_data["boards"], limit, cursor_value)
+
+    print(response)
+
+    return response

monday/google_cloud/requirements.txt

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+# Function dependencies, for example:
+datetime >= 3.0.0
+requests >= 2.0.0