import falcon
api = application = falcon.API()
class HelloWorld:
def on_get(self, req, resp):
resp.body = 'Hello, world!'
api.add_route('/', HelloWorld())
Ask the right questions to secure the right Falcon talent among an increasingly shrinking pool of talent.
The Falcon programming language is a multi-paradigm scripting language developed by Giancarlo Niccolai in 2003. It is a high-level, interpreted language that is dynamically typed and supports both procedural and object-oriented programming. Falcon aims to provide a simple, fast, and flexible platform for scripting and development tasks, with a syntax designed for readability and expressiveness. The language is noted for its lightweight runtime system and extensive standard library. It is an open-source project, with its source code available on GitHub.
The next 20 minutes of the interview should attempt to focus more specifically on the development questions used, and the level of depth and skill the engineer possesses.
In Falcon, you can handle exceptions by defining an error handler using the add_error_handler() method of the API class.
Hooks in Falcon are functions that get called before or after each request to a resource or a collection of resources. They are used for performing actions like authorization or parameter validation.
You can define a route in Falcon using the add_route() method on an instance of the API class.
The HTTP method used in Falcon to read a resource is GET.
You would typically install Falcon using pip. The command is: pip install falcon
This is essential because it underpins all the work they will be doing.
This is important because technology is constantly evolving and they will need to keep their skills up to date.
This is beneficial because it shows they have a broad skill set and can adapt to different tools and environments.
This is crucial because they will need to collaborate with team members and potentially explain technical concepts to non-technical stakeholders.
This is important because developers often need to troubleshoot and solve complex problems.
This is essential because Falcon is the main tool they will be using in their role.
The next 20 minutes of the interview should attempt to focus more specifically on the development questions used, and the level of depth and skill the engineer possesses.
Authentication in Falcon can be implemented using hooks or middleware. The hook or middleware would check for the presence and validity of authentication credentials in the request.
The process_response method in Falcon middleware is used to post-process the response before it is sent back to the client.
CORS can be implemented in Falcon by using the falcon-cors library or by manually setting the Access-Control-Allow-Origin header in the response.
Middleware components in Falcon are hooks that get called on every request-response cycle, regardless of the route or resource. They are typically used for tasks like logging, request pre-processing, or response post-processing.
on_get is used to handle GET requests and is used to retrieve data. On the other hand, on_post is used to handle POST requests and is typically used to send or create new data.
At this point, a skilled Falcon engineer should demonstrate strong technical aptitude, problem-solving skills, and effective communication. Red flags include lack of detail in discussing projects or inability to explain complex concepts clearly.
import falcon
api = application = falcon.API()
class HelloWorld:
def on_get(self, req, resp):
resp.body = 'Hello, world!'
api.add_route('/', HelloWorld())
import falcon
class ThingsResource:
def on_get(self, req, resp):
resp.media = {'message': 'Hello, Things!'}
api = falcon.API()
api.add_route('/things', ThingsResource())
import falcon
class ItemsResource:
def on_get(self, req, resp):
items = ['item1', 'item2', 'item3']
resp.media = {'items': items}
api = falcon.API()
api.add_route('/items', ItemsResource())
import falcon
from concurrent.futures import ThreadPoolExecutor
executor = ThreadPoolExecutor(max_workers=2)
class ThreadResource:
def on_get(self, req, resp):
future = executor.submit(self.long_running_task)
resp.media = {'status': 'Task started'}
def long_running_task(self):
# Long running task here
pass
api = falcon.API()
api.add_route('/thread', ThreadResource())
import falcon
class Employee:
def __init__(self, name, position):
self.name = name
self.position = position
class EmployeeResource:
def on_get(self, req, resp):
employee = Employee('John Doe', 'Developer')
resp.media = {'employee': employee.__dict__}
api = falcon.API()
api.add_route('/employee', EmployeeResource())
import falcon
class AdvancedResource:
def on_get(self, req, resp, name):
resp.media = {'message': f'Hello, {name}!'}
api = falcon.API()
api.add_route('/hello/{name}', AdvancedResource())
The final few interview questions for a Falcon candidate should typically focus on a combination of technical skills, personal goals, growth potential, team dynamics, and company culture.
API versioning in Falcon can be implemented by including the version number in the URL or as a header in the request. The routing or resource on_* method would then use this version number to determine how to process the request.
Rate limiting in Falcon can be implemented using a middleware that counts the number of requests from a client in a certain time period and raises an exception if the limit is exceeded.
process_request is called before routing, process_resource is called after routing but before the resource on_* method, and process_response is called after the response has been generated but before it is sent back to the client.
File uploads in Falcon can be handled by reading the file data from the request.stream object inside an on_post method.
The process_resource method in Falcon middleware is called after routing but before the resource on_* method is called. It can be used for tasks like request validation or data pre-processing.
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