mirror of https://github.com/zulip/zulip.git
521 lines
21 KiB
Markdown
521 lines
21 KiB
Markdown
# Webhook walkthrough
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Below explains each part of a simple webhook integration, called **Hello
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World**. This webhook sends a "hello" message to the `test` stream and includes
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a link to the Wikipedia article of the day, which it formats from json data it
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receives in the http request.
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Use this walkthrough to learn how to write your first webhook
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integration.
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## Step 0: Create fixtures
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The first step in creating a webhook is to examine the data that the
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service you want to integrate will be sending to Zulip.
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You can use <http://requestb.in> or a similar tool to capture
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webhook payload(s) from the service you are integrating. Examining this
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data allows you to do two things:
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1. Determine how you will need to structure your webhook code, including what
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message types your integration should support and how; and,
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2. Create fixtures for your webhook tests.
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A test fixture is a small file containing test data, one for each test.
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Fixtures enable the testing of webhook integration code without the need to
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actually contact the service being integrated.
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Because `Hello World` is a very simple webhook that does one thing, it requires
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only one fixture, `zerver/fixtures/helloworld/helloworld_hello.json`:
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```
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{
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"featured_title":"Marilyn Monroe",
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"featured_url":"https://en.wikipedia.org/wiki/Marilyn_Monroe",
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}
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```
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When writing your own webhook integration, you'll want to write a test function
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for each distinct message condition your webhook supports. You'll also need a
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corresponding fixture for each of these tests. Depending on the type of data
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the 3rd party service sends, your fixture may contain JSON, URL encoded text, or
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some other kind of data. See [Step 4: Create tests](#step-4-create-tests) or
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[Testing](testing.html) for further details.
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## Step 1: Initialize your webhook python package
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In the `zerver/webhooks/` directory, create new subdirectory that will
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contain all of corresponding code. In our example it will be
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`helloworld`. The new directory will be a python package, so you have
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to create an empty `__init__.py` file in that directory via e.g. `touch
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zerver/webhooks/helloworld/__init__.py`.
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## Step 2: Create main webhook code
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The majority of the code for your webhook integration will be in a single
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python file, `zerver/webhooks/mywebhook/view.py`.
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The Hello World integration is in `zerver/webhooks/helloworld/view.py`:
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```
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from __future__ import absolute_import
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from django.utils.translation import ugettext as _
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from zerver.lib.actions import check_send_message
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from zerver.lib.response import json_success, json_error
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from zerver.decorator import REQ, has_request_variables, api_key_only_webhook_view
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from zerver.lib.validator import check_dict, check_string
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from zerver.models import Client, UserProfile
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from django.http import HttpRequest, HttpResponse
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from typing import Dict, Any, Iterable, Optional, Text
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@api_key_only_webhook_view('HelloWorld')
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@has_request_variables
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def api_helloworld_webhook(request, user_profile, client,
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payload=REQ(argument_type='body'),
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stream=REQ(default='test'),
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topic=REQ(default='Hello World')):
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# type: (HttpRequest, UserProfile, Client, Dict[str, Iterable[Dict[str, Any]]], Text, Optional[Text]) -> HttpResponse
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# construct the body of the message
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body = 'Hello! I am happy to be here! :smile:'
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# try to add the Wikipedia article of the day
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# return appropriate error if not successful
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try:
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body_template = '\nThe Wikipedia featured article for today is **[{featured_title}]({featured_url})**'
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body += body_template.format(**payload)
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except KeyError as e:
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return json_error(_("Missing key {} in JSON").format(str(e)))
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# send the message
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check_send_message(user_profile, client, 'stream', [stream], topic, body)
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# return json result
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return json_success()
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```
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The above code imports the required functions and defines the main webhook
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function `api_helloworld_webhook`, decorating it with `api_key_only_webhook_view` and
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`has_request_variables`. The `has_request_variables` decorator allows you to
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access request variables with `REQ()`. You can find more about `REQ` and request
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variables in [Writing views](writing-views.html#request-variables).
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You must pass the name of your webhook to the `api_key_only_webhook_view`
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decorator so your webhook can access the `user_profile` and `client` fields
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from the request. Here we have used `HelloWorld`. To be consistent with Zulip code
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style, use the name of the product you are integrating in camel case, spelled
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as the product spells its own name (except always first letter upper-case).
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The `api_key_only_webhook_view` decorator indicates that the 3rd party service will
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send the authorization as an API key in the query parameters. If your service uses
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HTTP Basic authentication, you would instead use the `authenticated_rest_api_view`
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decorator.
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You should name your webhook function as such `api_webhookname_webhook` where
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`webhookname` is the name of your webhook and is always lower-case.
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At minimum, the webhook function must accept `request` (Django
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[HttpRequest](https://docs.djangoproject.com/en/1.8/ref/request-response/#django.http.HttpRequest)
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object), `user_profile` (Zulip's user object), and `client` (Zulip's analogue
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of UserAgent). You may also want to define additional parameters using the
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`REQ` object.
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In the example above, we have defined `payload` which is populated
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from the body of the http request, `stream` with a default of `test`
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(available by default in the Zulip development environment), and
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`topic` with a default of `Hello World`. If your webhook uses a custom stream,
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it must exist before a message can be created in it. (See
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[Step 4: Create tests](#step-4-create-tests) for how to handle this in tests.)
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The line that begins `# type` is a mypy type annotation. See [this
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page](mypy.html) for details about how to properly annotate your webhook
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functions.
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In the body of the function we define the body of the message as `Hello! I am
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happy to be here! :smile:`. The `:smile:` indicates an emoji. Then we append a
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link to the Wikipedia article of the day as provided by the json payload. If
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the json payload does not include data for `featured_title` and `featured_url`
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we catch a `KeyError` and use `json_error` to return the appropriate
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information: a 400 http status code with relevant details.
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Then we send a public (stream) message with `check_send_message` which will
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validate the message and then send it.
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Finally, we return a 200 http status with a JSON format success message via
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`json_success()`.
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## Step 3: Create an api endpoint for the webhook
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In order for a webhook to be externally available, it must be mapped to a url.
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This is done in `zerver/lib/integrations.py`.
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Look for the lines beginning with:
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```
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WEBHOOK_INTEGRATIONS = [
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```
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And you'll find the entry for Hello World:
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```
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WebhookIntegration('helloworld', display_name='Hello World'),
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```
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This tells the Zulip api to call the `api_helloworld_webhook` function in
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`zerver/webhooks/helloworld/view.py` when it receives a request at
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`/api/v1/external/helloworld`.
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This line also tells Zulip to generate an entry for Hello World on the Zulip
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integrations page using `static/images/integrations/logos/helloworld.png` as its
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icon.
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At this point, if you're following along and/or writing your own Hello World
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webhook, you have written enough code to test your integration.
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First, get an API key from the Your bots section of your Zulip user's Settings
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page. If you haven't created a bot already, you can do that there. Then copy
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its API key and replace the placeholder "<api_key>" in the examples with
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your real key. This is how Zulip knows the request is from an authorized user.
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Now you can test using Zulip itself, or curl on the command line.
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Using `manage.py` from within the Zulip development environment:
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```
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(zulip-venv)vagrant@vagrant-ubuntu-trusty-64:/srv/zulip$
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./manage.py send_webhook_fixture_message \
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> --fixture=zerver/fixtures/helloworld/helloworld_hello.json \
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> '--url=http://localhost:9991/api/v1/external/helloworld?api_key=<api_key>'
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```
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After which you should see something similar to:
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```
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2016-07-07 15:06:59,187 INFO 127.0.0.1 POST 200 143ms (mem: 6ms/13) (md: 43ms/1) (db: 20ms/9q) (+start: 147ms) /api/v1/external/helloworld (helloworld-bot@zulip.com via ZulipHelloWorldWebhook)
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```
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Using curl:
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```
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curl -X POST -H "Content-Type: application/json" -d '{ "featured_title":"Marilyn Monroe", "featured_url":"https://en.wikipedia.org/wiki/Marilyn_Monroe" }' http://localhost:9991/api/v1/external/helloworld\?api_key\=<api_key>
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```
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After which you should see:
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```
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{"msg":"","result":"success"}
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```
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Using either method will create a message in Zulip:
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![Image of Hello World webhook message](images/helloworld-webhook.png)
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## Step 4: Create tests
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Every webhook integration should have a corresponding test file:
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`zerver/webhooks/mywebhook/tests.py`.
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The Hello World integration's tests are in `zerver/webhooks/helloworld/tests.py`
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You should name the class `<WebhookName>HookTests` and have it inherit from
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the base class `WebhookTestCase`. For our HelloWorld webhook, we name the test
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class `HelloWorldHookTests`:
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```
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class HelloWorldHookTests(WebhookTestCase):
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STREAM_NAME = 'test'
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URL_TEMPLATE = "/api/v1/external/helloworld?&api_key={api_key}"
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FIXTURE_DIR_NAME = 'helloworld'
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# Note: Include a test function per each distinct message condition your integration supports
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def test_hello_message(self):
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# type: () -> None
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expected_subject = u"Hello World";
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expected_message = u"Hello! I am happy to be here! :smile: \nThe Wikipedia featured article for today is **[Marilyn Monroe](https://en.wikipedia.org/wiki/Marilyn_Monroe)**";
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# use fixture named helloworld_hello
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self.send_and_test_stream_message('hello', expected_subject, expected_message,
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content_type="application/x-www-form-urlencoded")
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def get_body(self, fixture_name):
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# type: (Text) -> Text
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return self.fixture_data("helloworld", fixture_name, file_type="json")
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```
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In the above example, `STREAM_NAME`, `URL_TEMPLATE`, and `FIXTURE_DIR_NAME` refer
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to class attributes from the base class, `WebhookTestCase`. These are needed by
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the helper function `send_and_test_stream_message` to determine how to execute
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your test. `STREAM_NAME` should be set to your default stream. If it doesn't exist,
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`send_and_test_stream_message` will create it while executing your test.
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If your test expects a stream name from a test fixture, the value in the fixture
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and the value you set for `STREAM_NAME` must match. The test helpers use `STREAM_NAME`
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to create the destination stream, and then create the message to send using the
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value from the fixture. If these don't match, the test will fail.
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`URL_TEMPLATE` defines how the test runner will call your webhook, in the same way
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you would provide a webhook URL to the 3rd party service. `api_key={api_key}` says
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that an API key is expected.
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In `get_body`, the first argument in the call to `self.fixture_data` specifies the
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prefix of your fixture file names, and `file_type` their type. Common types are
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`json` and `txt`.
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When writing tests for your webhook, you'll want to include one test function
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(and corresponding fixture) per each distinct message condition that your
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integration supports.
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If, for example, we added support for sending a goodbye message to our `Hello
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World` webhook, we would add another test function to `HelloWorldHookTests`
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class called something like `test_goodbye_message`:
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```
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def test_goodbye_message(self):
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# type: () -> None
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expected_subject = u"Hello World";
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expected_message = u"Hello! I am happy to be here! :smile:\nThe Wikipedia featured article for today is **[Goodbye](https://en.wikipedia.org/wiki/Goodbye)**";
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# use fixture named helloworld_goodbye
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self.send_and_test_stream_message('goodbye', expected_subject, expected_message,
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content_type="application/x-www-form-urlencoded")
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```
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As well as a new fixture `helloworld_goodbye.json` in
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`zerver/fixtures/helloworld/`:
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```
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{
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"featured_title":"Goodbye",
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"featured_url":"https://en.wikipedia.org/wiki/Goodbye",
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}
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```
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Also consider if your integration should have negative tests, a test where the
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data from the test fixture should result in an error. For details see
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[Negative tests](#negative-tests), below.
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Once you have written some tests, you can run just these new tests from within
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the Zulip development environment with this command:
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```
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(zulip-venv)vagrant@vagrant-ubuntu-trusty-64:/srv/zulip$
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./tools/test-backend zerver/webhooks/helloworld
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```
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(Note: You must run the tests from the top level of your development directory.
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The standard location in a Vagrant environment is `/srv/zulip`. If you are not
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using Vagrant, use the directory where you have your development environment.)
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You will see some script output and if all the tests have passed, you will see:
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```
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Running zerver.webhooks.helloworld.tests.HelloWorldHookTests.test_goodbye_message
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Running zerver.webhooks.helloworld.tests.HelloWorldHookTests.test_hello_message
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DONE!
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```
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## Step 5: Create documentation
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Next, we add end-user documentation for our webhook integration. You
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can see the existing examples at <https://zulipchat.com/integrations>
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or by accessing `/integrations` in your Zulip development environment.
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There are two parts to the end-user documentation on this page.
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The first is the lozenge in the grid of integrations, showing your
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integration logo and name, which links to the full documentation.
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This is generated automatically once you've registered the integration
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in WEBHOOK_INTEGRATIONS in `zerver/lib/integrations.py`, and supports
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some customization via options to the `WebhookIntegration` class.
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Second, you need to write the actual documentation content in
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`zerver/webhooks/mywebhook/doc.html`.
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```
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<p>Learn how Zulip integrations work with this simple Hello World example!</p>
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<p>
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The Hello World webhook will use the <code>test</code> stream, which is
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created by default in the Zulip development environment. If you are running
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Zulip in production, you should make sure this stream exists.
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</p>
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<p>
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Next, on your {{ settings_html|safe }}, create a Hello World bot. Construct the
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URL for the Hello World bot using the API key and stream name:
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<code>{{ external_api_uri_subdomain }}/v1/external/helloworld?api_key=abcdefgh&stream=test</code>
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</p>
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<p>
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To trigger a notication using this webhook, use `send_webhook_fixture_message`
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from the Zulip command line:
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</p>
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<div class="codehilite">
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<pre>(zulip-venv)vagrant@vagrant-ubuntu-trusty-64:/srv/zulip$
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./manage.py send_webhook_fixture_message \
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> --fixture=zerver/fixtures/helloworld/helloworld_hello.json \
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> '--url=http://localhost:9991/api/v1/external/helloworld?api_key=<api_key>'
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</pre>
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</div>
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<p>Or, use curl:</p>
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<div class="codehilite">
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<pre>curl -X POST -H "Content-Type: application/json" -d '{ "featured_title":"Marilyn Monroe", "featured_url":"https://en.wikipedia.org/wiki/Marilyn_Monroe" }' http://localhost:9991/api/v1/external/helloworld\?api_key\=<api_key></pre>
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</div>
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<p><b>Congratulations! You're done!</b><br/> Your messages may look like:</p>
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<img class="screenshot" src="/static/images/integrations/helloworld/001.png"/>
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```
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See [Documenting your integration](integration-guide.html#documenting-your-integration) for further
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details, including how to easily create the message screenshot.
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## Step 5: Preparing a pull request to zulip/zulip
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When you have finished your webhook integration and are ready for it to be
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available in the Zulip product, follow these steps to prepare your pull
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request:
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1. Run tests including linters and ensure you have addressed any issues they
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report. See [Testing](testing.html) and [Linters](linters.html) for details.
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2. Read through [Code styles and conventions](code-style.html) and take a look
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through your code to double-check that you've followed Zulip's guidelines.
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3. Take a look at your git history to ensure your commits have been clear and
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logical (see [Version Control](version-control.html) for tips). If not,
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consider revising them with `git rebase --interactive`. For most webhooks,
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you'll want to squash your changes into a single commit and include a good,
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clear commit message.
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4. Push code to your fork.
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5. Submit a pull request to zulip/zulip.
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If you would like feedback on your integration as you go, feel free to post a
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message on the [public Zulip instance](https://chat.zulip.org/#narrow/stream/bots).
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You can also create a [`[WIP]` pull request](readme-symlink.html#ways-to-contribute)
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while you are still working on your integration. See the
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[Git guide](git-guide.html#create-a-pull-request) for more on Zulip's pull
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request process.
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## Advanced topics
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More complex implementation or testing needs may require additional code, beyond
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what the standard helper functions provide. This section discusses some of
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these situations.
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### Negative tests
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A negative test is one that should result in an error, such as incorrect data.
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The helper functions may interpret this as a test failure, when it should instead
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be a successful test of an error condition. To correctly test these cases, you
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must explicitly code your test's execution (using other helpers, as needed)
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rather than call the usual helper function.
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Here is an example from the WordPress webhook:
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```
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def test_unknown_action_no_data(self):
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# type: () -> None
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# Mimic send_and_test_stream_message() to manually execute a negative test.
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# Otherwise its call to send_json_payload() would assert on the non-success
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# we are testing. The value of result is the error message the webhook should
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# return if no params are sent. The fixture for this test is an empty file.
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# subscribe to the target stream
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self.subscribe_to_stream(self.TEST_USER_EMAIL, self.STREAM_NAME)
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# post to the webhook url
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post_params = {'stream_name': self.STREAM_NAME,
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'content_type': 'application/x-www-form-urlencoded'}
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result = self.client_post(self.url, 'unknown_action', **post_params)
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# check that we got the expected error message
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self.assert_json_error(result, "Unknown WordPress webhook action: WordPress Action")
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```
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In a normal test, `send_and_test_stream_message` would handle all the setup
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and then check that the webhook's response matches the expected result. If
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the webhook returns an error, the test fails. Instead, explicitly do the
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setup it would have done, and check the result yourself.
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Here, `subscribe_to_stream` is a test helper that uses `TEST_USER_EMAIL` and
|
|
`STREAM_NAME` (attributes from the base class) to register the user to receive
|
|
messages in the given stream. If the stream doesn't exist, it creates it.
|
|
|
|
`client_post`, another helper, performs the HTTP POST that calls the webhook.
|
|
As long as `self.url` is correct, you don't need to construct the webhook
|
|
URL yourself. (In most cases, it is.)
|
|
|
|
`assert_json_error` then checks if the result matches the expected error.
|
|
If you had used `send_and_test_stream_message`, it would have called
|
|
`send_json_payload`, which checks the result with `assert_json_success`.
|
|
|
|
### Custom query parameters
|
|
|
|
Custom arguments passed in URL query parameters work as expected in the webhook
|
|
code, but require special handling in tests.
|
|
|
|
For example, here is the definition of a webhook function that gets both `stream`
|
|
and `topic` from the query parameters:
|
|
|
|
```
|
|
def api_querytest_webhook(request, user_profile, client,
|
|
payload=REQ(argument_type='body'), stream=REQ(default='test'),
|
|
topic=REQ(default='Default Alert')):
|
|
```
|
|
|
|
In actual use, you might configure the 3rd party service to call your Zulip
|
|
integration with a URL like this:
|
|
|
|
```
|
|
http://myhost/api/v1/external/querytest?api_key=abcdefgh&stream=alerts&topic=queries
|
|
```
|
|
|
|
It provides values for `stream` and `topic`, and the webhook can get those
|
|
using `REQ` without any special handling. How does this work in a test?
|
|
|
|
The new attribute `TOPIC` exists only in our class, so the default version of
|
|
`build_webhook_url` from `WebhookTestCase` doesn't know how to use it to
|
|
construct the URL. Instead, we provide a custom `build_webhook_url` to
|
|
override the default one:
|
|
|
|
```
|
|
class QuerytestHookTests(WebhookTestCase):
|
|
|
|
STREAM_NAME = 'querytest'
|
|
TOPIC = "Default Topic"
|
|
URL_TEMPLATE = "/api/v1/external/querytest?api_key={api_key}&stream={stream}&topic={topic}"
|
|
FIXTURE_DIR_NAME = 'querytest'
|
|
|
|
# override the base class behavior so we can include TOPIC
|
|
def build_webhook_url(self):
|
|
# type: () -> Text
|
|
|
|
api_key = self.get_api_key(self.TEST_USER_EMAIL)
|
|
return self.URL_TEMPLATE.format(stream=self.STREAM_NAME, api_key=api_key, topic=self.TOPIC)
|
|
|
|
def test_querytest_test_one(self):
|
|
# type: () -> None
|
|
|
|
# construct the URL used for this test
|
|
self.TOPIC = u"Query Test"
|
|
self.url = self.build_webhook_url()
|
|
|
|
# define the expected message contents
|
|
expected_subject = u"Query Test"
|
|
expected_message = u"This is a test of custom query parameters."
|
|
|
|
self.send_and_test_stream_message('test_one', expected_subject, expected_message,
|
|
content_type="application/x-www-form-urlencoded")
|
|
|
|
def get_body(self, fixture_name):
|
|
# type: (Text) -> Text
|
|
return self.fixture_data("querytest", fixture_name, file_type="json")
|
|
```
|
|
|
|
You can also override `get_body` if your test data needs to be constructed in
|
|
an unusual way. For more, see the definition for the base class, `WebhookTestCase`
|
|
in `zerver/lib/test_classes.py.`
|