Troubleshooting Withings Integration In Home Assistant In Bed Status And Unsupported Value Errors

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Introduction

In this comprehensive guide, we will delve into troubleshooting the Withings integration within Home Assistant, specifically addressing issues related to the "In Bed" status and unsupported value errors. Many users rely on seamless integration between their smart devices and home automation systems. When these integrations falter, it can disrupt carefully configured routines and automations. This article aims to provide a detailed walkthrough of common problems encountered with the Withings integration in Home Assistant, offering practical solutions and insights to restore functionality. Understanding the nuances of the Withings integration is crucial for maintaining a smoothly operating smart home ecosystem. We will explore error messages, configuration adjustments, and debugging steps to help you resolve these issues efficiently. By following the guidance provided, you can ensure that your Withings devices communicate effectively with Home Assistant, providing accurate data and enabling your desired home automation scenarios. This article is designed to be a valuable resource for both novice and experienced Home Assistant users seeking to optimize their smart home setup.

The Problem: A Detailed Overview

Recently, users have reported issues with the Withings integration in Home Assistant, including the appearance of an unexpected "Aura" device and unreliable data synchronization. One user recounted their experience of encountering an "Aura" device within their Withings integration, a device they did not own. This issue, documented on GitHub, prompted a recommendation to remove and re-add the integration as a potential fix. The user also noted that their previously functional configuration had become unreliable over the preceding month. After removing and reintegrating the Withings integration, the user encountered further problems. Despite spending approximately five minutes in bed, no corresponding details were logged in Home Assistant, even though the webhook activity was visible in both Cloudflare WAF and Nginx access logs. This discrepancy indicated a potential communication breakdown between Withings and Home Assistant. Furthermore, the expected "In Bed" notification and entity were not created, compounding the initial issue. The absence of these entities raised concerns about the integration's ability to accurately track and report sleep-related data. This issue may be related to another reported problem on GitHub, suggesting a broader pattern of difficulties with the Withings integration. Identifying and understanding these symptoms is the first step towards effectively troubleshooting and resolving the underlying issues. We will break down these problems further in subsequent sections, providing specific steps to diagnose and rectify each one.

Identifying the Issue: Home Assistant Version and Installation Type

Pinpointing the exact version of Home Assistant Core experiencing the issue is crucial for effective troubleshooting. In this case, the user reported the problem occurring on core-2025.7.1. Knowing the specific version helps to narrow down potential causes, as certain bugs or compatibility issues may be present in particular releases. Additionally, identifying the last known working version, core-2025.4.4 in this scenario, provides a reference point for understanding when the problem may have originated. This information can be invaluable for developers and the Home Assistant community in identifying and addressing bugs. The type of installation being used is another essential factor. The user specified that they are running Home Assistant Container. This installation method, while offering flexibility and control, can also introduce complexities related to networking, container configurations, and dependency management. Understanding the installation type helps to tailor troubleshooting steps appropriately. For example, issues specific to containerized environments may require different solutions compared to those running Home Assistant OS or Home Assistant Supervised. Accurately specifying the Home Assistant version and installation type is paramount for effective problem-solving, as it allows for more targeted diagnostics and solutions. This information serves as the foundation for further investigation and resolution efforts.

Integration and Diagnostics: Withings in Focus

The integration causing the issue is clearly identified as Withings, a popular platform for health and fitness tracking devices. Understanding the specific integration at fault allows for focused troubleshooting efforts, avoiding unnecessary investigations into other components of the Home Assistant setup. The user helpfully provided a link to the official Withings integration documentation on the Home Assistant website. This documentation serves as a valuable resource for understanding the integration's intended functionality, configuration options, and known limitations. Referring to the official documentation is a best practice in troubleshooting, as it often contains important information and guidance. Furthermore, the user included diagnostics information in the form of a JSON file (config_entry-withings-01JZF8B09H6BC2R361J1G9RSB8.json). Diagnostic files contain valuable data about the integration's configuration, device information, and internal states. Analyzing this file can often reveal misconfigurations, unexpected values, or other clues that point to the root cause of the problem. Leveraging diagnostic information is a crucial step in advanced troubleshooting, providing insights that may not be apparent from logs or user interfaces alone. By examining the diagnostic data, developers and experienced users can gain a deeper understanding of the integration's behavior and identify potential areas of concern. This targeted approach significantly enhances the efficiency and effectiveness of the troubleshooting process.

YAML Configuration and Log Analysis

The user explicitly stated that they do not have anything set up in YAML for the Withings integration, indicating a reliance on the graphical user interface (GUI) for configuration. This information is important because it eliminates YAML configuration errors as a potential cause of the issue. When troubleshooting, it's essential to rule out possible sources of problems systematically. Since no YAML configuration is involved, the focus shifts to the GUI configuration and the underlying integration logic. Analyzing logs is a critical step in diagnosing issues within Home Assistant. The user provided a snippet of their logs, which reveals several important warnings and errors. The logs show warnings related to unsupported values for MeasurementAttribution, indicating that the aiowithings library (a dependency of the Withings integration) is encountering unexpected data from the Withings API. These warnings suggest a potential incompatibility or a bug in the library's handling of certain measurement types. Another warning highlights an issue with device_registry.async_get_or_create, indicating a potential problem with device identification or creation within Home Assistant. This warning also includes a crucial piece of information: it will stop working in Home Assistant 2025.12.0, urging the user to report the bug. This timeline provides a sense of urgency and underscores the importance of addressing the issue promptly. Additionally, the logs show errors related to a custom Tapo integration, which, while not directly related to the Withings problem, may indicate broader issues within the user's Home Assistant setup. The logs also contain debug messages showing successful fetching of various types of Withings data, such as workout, device, sleep, bed presence, activity, and goals data. These messages suggest that the integration is communicating with the Withings API and retrieving data, but the warnings and missing "In Bed" entity indicate that the data is not being processed or used correctly within Home Assistant. A thorough examination of the logs is essential for identifying patterns, errors, and warnings that provide clues to the underlying problems. By understanding the log messages, users and developers can gain valuable insights into the behavior of the integration and pinpoint the root cause of the issue.

Webhook Verification and Additional Information

The user provided valuable additional information regarding webhook functionality, including evidence from Cloudflare WAF and Nginx access logs. The Cloudflare WAF screenshot confirms that webhooks are indeed reaching the user's Home Assistant instance and are bypassing WAF rules. This eliminates the possibility of the WAF blocking the webhook traffic. The Nginx access logs further corroborate this, showing successful HEAD requests to the webhook endpoint. These logs indicate that the web server is receiving and processing the webhooks without error. However, the absence of corresponding entries in the Home Assistant logs suggests that the issue lies within Home Assistant's processing of the webhook data. Despite receiving the webhooks, Home Assistant is not creating the expected entities or triggering the appropriate automations. This discrepancy points to a potential problem within the Withings integration's webhook handling logic. The user's comprehensive troubleshooting approach, including checking both Cloudflare and Nginx logs, demonstrates a thorough understanding of network communication and debugging techniques. Verifying webhook delivery is a crucial step in troubleshooting integrations that rely on real-time data updates. By confirming that webhooks are reaching the Home Assistant instance, the focus can shift to internal processing and data handling within the integration itself. This targeted approach significantly narrows the scope of the investigation and increases the chances of finding a solution.

Troubleshooting Steps and Potential Solutions

Based on the information provided, several troubleshooting steps and potential solutions can be considered to address the Withings integration issues in Home Assistant. Given the warnings about unsupported values for MeasurementAttribution, it is crucial to investigate the aiowithings library. Users should check the library's GitHub repository for any reported issues related to these warnings and consider updating the library if a fix is available. Reporting the unsupported values to the aiowithings maintainers, as suggested in the log, can also help improve the library's compatibility with future Withings API updates. The warning regarding device_registry.async_get_or_create indicates a potential bug in the Withings integration's device handling logic. Users should report this issue on the Home Assistant GitHub repository, providing detailed information and diagnostic data to assist developers in identifying and resolving the bug. In the meantime, carefully reviewing the device configuration within Home Assistant and ensuring that all device identifiers are correct can potentially mitigate this issue. Since webhooks are reaching Home Assistant but the "In Bed" entity is not being created, there might be a problem with the integration's webhook processing logic. Users can try disabling and re-enabling the Withings integration to force a re-registration of the webhook. Additionally, examining the integration's code for any potential errors in the webhook handling routines can provide valuable insights. Checking the Home Assistant logs for any errors occurring specifically during webhook processing is also recommended. The appearance of an unexpected "Aura" device suggests a possible issue with device discovery or identification within the integration. Users should verify that their Withings account is not linked to any unknown devices. If the issue persists, it may be necessary to manually remove the "Aura" device from Home Assistant and monitor whether it reappears. Given that the user is running Home Assistant Container, ensuring proper network configuration and container settings is essential. Verifying that the container has access to the network and can communicate with the Withings API is crucial. Checking for any firewall rules or network policies that might be interfering with the communication is also recommended. A systematic approach to troubleshooting, combining log analysis, configuration verification, and code examination, is often necessary to identify and resolve complex integration issues. By following these steps and leveraging the information provided in the user's report, it is possible to address the Withings integration problems and restore proper functionality.

Conclusion

Troubleshooting integrations like Withings in Home Assistant requires a systematic approach, combining careful log analysis, configuration verification, and community engagement. The user's detailed report, including log snippets, diagnostics information, and webhook verification, provides a solid foundation for identifying and addressing the issues. By following the suggested troubleshooting steps, such as investigating aiowithings warnings, reporting device registry issues, and verifying webhook processing, users can work towards resolving the problems. Effective troubleshooting not only restores functionality but also contributes to the overall stability and reliability of the Home Assistant ecosystem. Engaging with the Home Assistant community and reporting bugs and issues helps developers improve integrations and address potential problems proactively. The key takeaways from this troubleshooting exercise include the importance of detailed log analysis, the value of diagnostic information, and the significance of verifying network communication. By understanding these principles, users can become more proficient in troubleshooting Home Assistant integrations and maintaining a smoothly operating smart home. Continuous monitoring, regular updates, and proactive engagement with the community are essential for ensuring the long-term health and reliability of any Home Assistant setup. In summary, the challenges encountered with the Withings integration serve as a valuable learning opportunity, highlighting the complexities of smart home integrations and the importance of a methodical approach to problem-solving.