How to Convert MQL to PromQL for Google Cloud SQL Latency Monitoring?

I am currently working on setting up alerting for Google Cloud SQL using Google Cloud Monitoring, and I have a query written in Monitoring Query Language (MQL) that I would like to convert to Prometheus Query Language (PromQL). Here is the MQL query I am using:

fetch cloudsql_instance_database
| metric 'cloudsql.googleapis.com/database/postgresql/insights/aggregate/latencies'
| filter resource.project_id == 'xxxxxx'
    && (resource.database == 'xxxxxx'
    && resource.location == 'xxxxxx'
    && resource.resource_id == 'xxxxxxx:xxxxxxxxxxxxt')
| align delta(10m)
| every 10m
| group_by [resource.database], [value_latencies_mean: mean(value.latencies)]
| condition val() > 100 'ms'

This query checks the latency of a specific Cloud SQL database and sets a threshold to trigger an alert if the mean latency exceeds 100 milliseconds over a 10-minute period.

Could someone help me with the equivalent PromQL query for this MQL? I want to ensure that I can monitor the same metrics and set up alerts effectively in a Prometheus environment.

Thank you in advance for your assistance!

No update here?