diff --git a/README.md b/README.md
index 767eaa0..f480264 100644
--- a/README.md
+++ b/README.md
@@ -22,9 +22,6 @@ Please ⭐️ or sponsor this repo when you like it :heart:.
Also thanks to the amazing [Tailscale](https://www.home-assistant.io/integrations/tailscale/)integrations!
-## Getting started
-
-
## Installation
### Getting started
@@ -37,12 +34,12 @@ Here are some steps you need to take. Since this guide is fairly new, please cre
The premise is that [Tailscale](https://www.home-assistant.io/integrations/tailscale/) Integration is installed in HA and the HA instance is available as a node.
1. The Git repo must be forked so that the Docker image for the AWS Lambda can be pushed to your private repository in the Amazon Elastic Container Registry.
-1. Create a private repository on AWS [Amazon Elastic Container Registry](https://aws.amazon.com/de/ecr/). The name must be _ha-custom-lambda-tailscale_ for the repo
+2. Create a private repository on AWS [Amazon Elastic Container Registry](https://aws.amazon.com/de/ecr/). The name must be _ha-custom-lambda-tailscale_ for the repo
See for more information [AWS Introduction ECR] (https://aws.amazon.com/de/ecr/getting-started/)
-1. Create a keypair on AWS Identity Management (IM) to allow github action to push the Docker image to ECR.
+3. Create a keypair on AWS Identity Management (IM) to allow github action to push the Docker image to ECR.
Create AWS_ACCESS_KEY_ID_ and _AWS_SECRET_ACCESS_KEY_
@@ -50,10 +47,10 @@ See for more information [AWS Introduction credentials] (https://docs.aws.amazon
Remember both carefully because the secret is only displayed once and is required in the next step.
-1. Go to your forked repo under settings. Go to secrets and variables. Create two new secrets with _AWS_ACCESS_KEY_ID_ and _AWS_SECRET_ACCESS_KEY_ from the previous step
+4. Go to your forked repo under settings. Go to secrets and variables. Create two new secrets with _AWS_ACCESS_KEY_ID_ and _AWS_SECRET_ACCESS_KEY_ from the previous step
-1. Then build and push the Docker image under Github Actions. To do this, run ```.github/workflows/docker-build-push.yml```
+5. Then build and push the Docker image under Github Actions. To do this, run ```.github/workflows/docker-build-push.yml```
@@ -66,28 +63,28 @@ Remember both carefully because the secret is only displayed once and is require
See for more information [AWS Lambda] (https://docs.aws.amazon.com/de_de/lambda/latest/dg/getting-started.html)
-1. Name the function alexa-actionable-notifications-function and select the Docker image from the ECR and click create function
+2. Name the function alexa-actionable-notifications-function and select the Docker image from the ECR and click create function
-1. Click "Add Trigger" and copy your skill id from the previous step from the [Skill](https://developer.amazon.com/alexa/console/ask)
+3. Click "Add Trigger" and copy your skill id from the previous step from the [Skill](https://developer.amazon.com/alexa/console/ask)
-1. Now we have to log in to our Tailscale account and create an ephemeral key. Go to settings --> key
+4. Now we have to log in to our Tailscale account and create an ephemeral key. Go to settings --> key
Please remember the key. You currently have to do this step every 3 months because the key can no longer be created.
-1. An HA long-living token (10 years) must then be created that Lambda can access to your HA-Instance, which is only available into your VPN. Please remember the key.
+5. An HA long-living token (10 years) must then be created that Lambda can access to your HA-Instance, which is only available into your VPN. Please remember the key.
-1. Now the following ENV variables must be inserted into the function.
+6. Now the following ENV variables must be inserted into the function.
@@ -98,7 +95,7 @@ Please remember the key. You currently have to do this step every 3 months becau
| HA_URL | string | |**Important the TAILSCALE ip from HA** e.g http://{tailscale-ha-ip}:8123. Should be start with 100.xxx.xxx.xxx TAILSCALE_AUTHKEY the ephemeral key. Should be start with tskey-auth-xxxxx |
-1. Save function to deploy the function new
+7. Save function to deploy the function new
Now the Alexa skill can be tested and integrated into HA. These are the same steps like in the [wiki](https://github.com/keatontaylor/alexa-actions/wiki/Alexa-Talking-to-Home-Assistant-(The-Skill))
@@ -125,7 +122,7 @@ But you need to have a lot of traffic and updates. With testing and everything,
[release-badge]: https://img.shields.io/github/v/release/MelleD/alexa-actions?style=flat-square
[downloads-badge]: https://img.shields.io/github/downloads/MelleD/alexa-actions/total?style=flat-square
-[build-badge]: https://img.shields.io/github/actions/workflow/status/MelleD/alexa-actions/build-linux.yml?branch=main&style=flat-square
+[build-badge]: https://img.shields.io/github/actions/workflow/status/MelleD/alexa-actions/actions/workflows/build-linux.yml?branch=main&style=flat-square
diff --git a/lambda/config.py b/lambda/config.py
index 24646fa..39a80e3 100644
--- a/lambda/config.py
+++ b/lambda/config.py
@@ -2,14 +2,7 @@
import os
# Local Imports
-from const import (
- HA_URL,
- HA_TOKEN,
- SSL_VERIFY,
- DEBUG,
- AWS_DEFAULT_REGION,
- ALL_PROXY
-)
+from const import HA_URL, HA_TOKEN, SSL_VERIFY, DEBUG, AWS_DEFAULT_REGION, ALL_PROXY
configuration = {
@@ -18,5 +11,5 @@
SSL_VERIFY: os.environ.get(SSL_VERIFY, default=False),
DEBUG: os.environ.get(DEBUG, default=False),
AWS_DEFAULT_REGION: os.environ.get(AWS_DEFAULT_REGION),
- ALL_PROXY: os.environ.get(ALL_PROXY, default=None)
+ ALL_PROXY: os.environ.get(ALL_PROXY, default=None),
}
diff --git a/lambda/const.py b/lambda/const.py
index d1a3531..682d363 100644
--- a/lambda/const.py
+++ b/lambda/const.py
@@ -22,4 +22,4 @@
SSL_VERIFY = "SSL_VERIFY"
DEBUG = "DEBUG"
AWS_DEFAULT_REGION = "AWS_DEFAULT_REGION"
-ALL_PROXY = "ALL_PROXY"
\ No newline at end of file
+ALL_PROXY = "ALL_PROXY"
diff --git a/lambda/lambda_function.py b/lambda/lambda_function.py
index 6fd116a..57e6f14 100644
--- a/lambda/lambda_function.py
+++ b/lambda/lambda_function.py
@@ -19,12 +19,7 @@
is_intent_name,
)
-from ask_sdk_core.utils.request_util import (
- get_intent_name,
- get_slot,
- get_slot_value,
- get_account_linking_access_token
-)
+from ask_sdk_core.utils.request_util import get_intent_name, get_slot, get_slot_value, get_account_linking_access_token
from ask_sdk_model.session_ended_reason import SessionEndedReason
from ask_sdk_model.slu.entityresolution.status_code import StatusCode
from urllib3 import HTTPResponse
@@ -48,7 +43,7 @@
SSL_VERIFY,
DEBUG,
AWS_DEFAULT_REGION,
- ALL_PROXY
+ ALL_PROXY,
)
logger = logging.getLogger()
@@ -125,7 +120,7 @@ def __init__(self, handler_input=None):
self.aws_region = configuration[AWS_DEFAULT_REGION]
self.proxy = configuration[ALL_PROXY]
logger.setLevel(logging.INFO)
-
+
if self.debug:
logger.setLevel(logging.DEBUG)
@@ -136,7 +131,7 @@ def __init__(self, handler_input=None):
# Define class vars
self.ha_state = None
- if(self.proxy is None):
+ if self.proxy is None:
self.http = _init_http_pool(self.ssl_verify)
else:
logger.debug(f"Proxy is { self.proxy}")
@@ -684,7 +679,6 @@ def process(self, handler_input):
handler_input.attributes_manager.request_attributes["_"] = data
-
"""
The SkillBuilder object acts as the entry point for your skill, routing all request and response
payloads to the handlers above. Make sure any new handlers or interceptors you've