[Sebastian]

From the sound of it, your best bet would probably be to add some code to your widget that checks the incoming HTTP Referer header and if it indicates the request is coming from the parent site just drop the GA event altogether. Alternatively, you could configure your GA4 settings to filter out any such events. If neither of these solution suits your needs, there may be more advanced methods of intercepting these requests using service workers, but that would likely involve implementing more complex functionality to check whether each fetch is relevant before deciding whether to let it through to GA4.

[Sebastian]

The error message being returned suggests that there’s an issue with the ConnectorRuntimeSettings object in your request. Since AppFlow flow doesn’t require you to specify ConnectorRuntimeSettings, you might be including it in your CreateFlow request when it’s not necessary. Ensure to review your parameters and remove any mention of ConnectorRuntimeSettings. Also, validate if ‘tasks[]’ parameter and associated taskTypes, sourceFields, and destinationFields are defined correctly as per your source and destination requirements. Tasks are essential part of the flow creation process and they define the operations to perform on the data, so ensure they are configured properly. If everything seems to be correct, consider reaching out to AWS Support or AWS community forums for more specific guidance.

[Sebastian]

Creating metrics for “Entrances”, “Exits”, and “Views” for your API would typically involve using performance tracking tools. However, there seems to be no current support for such a feature via API (here’s an issue raised on GitHub regarding this: https://github.com/googleapis/google-cloud-java/issues/9279). Alternatively, you might consider generating a similar report using the Google Analytics official dashboard. Here’s a link that may guide you through the process: https://support.google.com/analytics/answer/11080047. For information pertaining to currently supported metrics and dimensions through the data API, please consult the following link: https://developers.google.com/analytics/devguides/reporting/data/v1/api-schema.

[Sebastian]

The issue you’re experiencing may stem from the fact that Google Analytics 4 (GA4) handles dimensions and metrics somewhat differently from Universal Analytics. GA4 doesn’t natively support minute-level granularity. As a workaround you may consider tracking new users manually in the application itself and sending this data as events to GA4. Then, using these custom events, you can create your own custom reports. Please be aware that this might require significant changes in your tracking setup and I recommend consulting with a professional to better understand the implications. Alternatively, you can use Google BigQuery to access raw GA4 data for more in-depth analysis.

[Sebastian]

Based on your question, you are trying to understand why an exception was thrown when attempting to access a function in GA4 admin in your staging testing environment, even though it worked perfectly fine in your development environment. It’s clear that the issues arose primarily during the transition from your development to the staging testing environment.

There could be several reasons for this. One possible reason could be differences between the configurations in the two environments. For example, there might be certain permissions or settings enabled in your development environment that are not enabled in your staging environment.

In terms of the “WEIRD_PROJECT_ID” you asked about in the exception, this sounds like it might be referring to the project ID of your Google Cloud project. If the project ID in the console doesn’t match the one specified in your code or configuration files, this could certainly cause issues. It’s hard to say without more context, but it’s definitely something worth checking out.

Finally, you were asking about the timeline for the beta release and final code of your API. It’s hard to give a definitive answer since this can depend on numerous factors, including the scope of the project, resources available, any issues that might arise during testing, and so on. It would be best to thoroughly test the alpha version of the API and iron out any issues before moving ahead with a beta release.

Without a look at the specifics of your project and its configuration in both environments, these are just general areas to check and think about. Hope this helps in some way!

[Sebastian]

The issue you’re facing seems to be related to the last line of your code where you’re attempting to filter data by city. According to the error you’re receiving, there appear to be duplicate column names in your data. In simple words, there’s an issue with your data set having two (or more) columns with the same name, which is making it hard for R to understand which one to use.

Now, just focusing on the last line of your code where you seem to be getting the error, you’re making a call to ga_data_filter function with parameters for city to equal “Copenhagen” or “London”. When this line of code is executed properly, it should return a filter object which includes references to filters for the cities “Copenhagen” and “London” separately. It seems that there’s nothing wrong with this line as per the provided syntax.

Just to make sure everything is working right, you might want to check if your installed version of the R package rlang is up-to-date. The requirement is for it to be version 1.02 or later.