Google Cloud 提供各項工具，讓您透過 Google Cloud Monitoring and debug issues with Google Cloud Logging error logs. Whenever a failure happens when fulfilling user intents, Google Home Analytics pipeline records that failure on your metrics, and publishes an error log in your project logs. 監控專案的可靠性
排解錯誤的方法有兩種：
- 透過智慧型住宅指標監控專案狀態。
- 查看錯誤記錄中的詳細錯誤說明，藉此調查問題。
Monitoring errors
You can use Google Cloud Monitoring dashboard s to access your project metrics. There are some key charts that are especially useful for monitoring quality and debugging:
- The Success Rate chart is the first chart to start from when you are monitoring the reliability of your projects. Drops in this chart can indicate an outage for a portion or all of your user base. We recommend closely monitoring this chart for any irregularities after each change or update to your project.
- The 95th Percentile Latency chart is an important indicator for how your smart home Action is performing for your users. Sudden fluctuations in this chart might indicate your systems might be unable to catch up with the requests. Periodically checking this chart is advised to see any unexpected behavior.
- The Error Breakdown charts are most useful when it comes to troubleshooting issues on your integrations. For every error highlighted in your success percentage chart, an error code is displayed in your error breakdown. You can see the errors flagged by the Google Home platform and how to troubleshoot them in the table below.
Platform Error Codes
Here are some common error codes that you may see in your project logs to identify issues caught by the Google Home platform. Please refer to the following table for troubleshooting information.
| Error Code | Description |
|---|---|
BACKEND_FAILURE_URL_ERROR |
Google has received an HTTP 4xx error code other than 401 from your
service.
Use the requestId in GCP Logging to check your smart
home service logs.
|
BACKEND_FAILURE_URL_UNREACHABLE |
Google has received an HTTP 5xx error code from your service.
Use the requestId in GCP Logging to check your smart
home service logs.
|
GAL_BAD_3P_RESPONSE |
Google cannot parse the response from your account linking service
due to invalid format or values in the payload.
Use the requestId in GCP Logging to check error logs
in your account linking service.
|
GAL_INTERNAL |
A Google internal error occurred when Google tried to retrieve an
access token.
If you see an increased rate of this error in GCP Logging, contact us for more information. |
GAL_INVALID_ARGUMENT |
A Google internal error occurred when Google tried to retrieve an
access token.
If you see an increased rate of this error in GCP Logging, contact us for more information. |
GAL_NOT_FOUND |
The user's access tokens and refresh tokens stored in Google are
invalidated and cannot be refreshed anymore. The user needs to
relink his account to continue using your service.
If you see an increased rate of this error in GCP Logging, contact us for more information. |
GAL_PERMISSION_DENIED |
A Google internal error occurred when token sharing is not
authorized.
If you see an increased rate of this error in GCP Logging, contact us for more information. |
GAL_REFRESH_IN_PROGRESS |
The user's access token is expired and another concurrent attempt to
refresh it is already underway.
This is not an issue and no action is needed. |
INVALID_AUTH_TOKEN |
Google has received an HTTP 401 error code from your service.
The access token is not expired but your service has invalidated it. Use the requestId in GCP Logging to check your smart
home service logs.
|
INVALID_JSON |
JSON response cannot be parsed, or understood.
Check the structure of your JSON response for invalid syntax, such as mismatching brackets, missing commas, invalid characters. |
OPEN_AUTH_FAILURE |
User's access token is expired and Google is unable to refresh it,
or Google has received an HTTP 401 error code from your service.
If you see an increased rate of this code, check if you also see an increased rate of errors related to smart home intents or refresh token requests. |
PARTNER_RESPONSE_INVALID_ERROR_CODE |
Response indicates an unrecognized error code.
If your request response indicates an error, make sure to use one provided from our supported error codes. |
PARTNER_RESPONSE_INVALID_PAYLOAD |
Response payload field cannot be parsed as a JSON
Object.
Check if the payload field in your request response has matching brackets and is correctly structured as a JSON field. |
PARTNER_RESPONSE_INVALID_STATUS |
Response does not indicate a status, or indicates an incorrect one.
Responses to intent fulfillment requests should indicate a status with either SUCCESS, OFFLINE, ERROR, EXCEPTIONS. You
can find more information on
handling errors and exceptions.
|
PARTNER_RESPONSE_MISSING_COMMANDS_AND_DEVICES |
One or more intents present in the request is missing on the
response.
Verify that your execution response is correctly structured and that the results for all intents from the request are present in your response. |
PARTNER_RESPONSE_MISSING_DEVICE |
One or more devices present in the request is missing on the
response.
Verify that your execution response is correctly structured and that all device ids from the request are present in your response. |
PARTNER_RESPONSE_MISSING_PAYLOAD |
Response does not contain a payload field.
Make sure to include a payload field in your request response. You can learn more on how to correctly build an execution response. |
PARTNER_RESPONSE_NOT_OBJECT |
Response cannot be parsed as a JSON Object.
Check all fields in your request response for unintended characters, mismatching brackets or formatting errors. Some unicode characters might be unsupported. Also make sure your response is correctly structured as a JSON object. |
RESPONSE_TIMEOUT |
Request has timed out while waiting for the response.
The time out period for sending a response is 9 seconds from when the request is sent. Make sure to send a response within this period of time. |
RESPONSE_UNAVAILABLE |
No response is received, or the response does not indicate status.
Responses to intent fulfillment requests should be structured according to the smart home docs and indicate status. |
Search Logs
Once you get comfortable monitoring your integrations using metrics, the next step is to troubleshoot specific errors using Cloud Logging. An error log is a JSON-like entry with fields containing useful information like time, error code and details regarding the originating smart home intent.
There are multiple systems within Google Cloud that send logs to your project at all times. You need to write queries to filter your logs and find the ones you need. Queries can be based on a Time Range, Resource, log Severity or custom entries.
You can use the query buttons to help you build your custom filters.
To specify a Time Range, click the time range selection button and choose one of the provided options. This will filter the logs and show the ones that originate in the selected time range.
To specify a Resource, click the Resource dropdown, then choose Google Assistant Action Project. This adds a filter in your query to show logs that originate from your project.
Use the Severity button to filter by Emergency, Info, Debug, and other severity log levels.
You can also use the Query field in the
Logs Explorer
to enter custom entries. The query engine used by this field supports both
basic queries like string matching, and more advanced types of queries including
comparators (<, >=, !=) and boolean operators (AND, OR, NOT).
For example, the custom entry below would return errors that
originate from a LIGHT device type:
resource.type = "assistant_action_project" AND severity = ERROR AND jsonPayload.executionLog.executionResults.actionResults.device.deviceType = "LIGHT"
Visit the Query Library to find more examples for querying logs effectively.
Testing Fixes
Once you identify errors and apply updates to fix them, we recommend testing your fixes thoroughly with Google Home Test Suite . We provide a user guide on how to use Test Suite, which walks you through testing your changes effectively.
Learning Resources
This document provides the steps to troubleshoot errors in your Smart Home Action. You can also check our codelabs to learn more on debugging:
- Debugging Smart Home Codelab: Quick start guide to debug smart home cloud integration.
- Debugging Local Home Codelab: Quick start guide to debug smart home local integration.