dbt package for multiple sources

Need to run the same dbt package(Quickbooks) for multiple clients
dbt quickbook: GitHub - fivetran/dbt_quickbooks at v0.10.0

I am using fivetran to get information on QuickBooks from my clients.
I am using dbt cloud with dbt quickbook package to build the models. The issue is I have multiple clients, each client source tables are saved in a separate BQ dataset. Each client has one dataset.
I connected fivetran to my github, to automate the dbt run, but I am not able to tell dbt where the source tables for that client are, for it to run the output models!

I tried to create an env variable, and use it in the project.yml, but you can’t use an env variable in project.yml!
Then I used the env variable in the source.yml of the QuickBooks package model, this worked when running it via the dbt cloud. But when I check-in my changes, dbt doesn’t check in the quickbook dbt package with my changes, as it is a third party package and it is inside the package.yml, github ignores those packages,a cording to this link: “Run dbt deps to install the package(s). Packages get installed in the dbt_packages directory – by default this directory is ignored by git, to avoid duplicating the source code for the package.” (Packages | dbt Developer Hub)

There is an option in the QuickBooks dbt , to add to project.yml a flag to run on multiple clients, but that would mean that I have to manually add each new client to the file, which I want to avoid. Also, it would end up having all clients in one single table, which is not optimal!

Some example code or error messages

# dbt_project.yml
...
config-version: 2

vars:
    quickbooks_union_schemas: ['quickbooks_usa','quickbooks_canada'] # use this if the data is in different schemas/datasets of the same database/project
    quickbooks_union_databases: ['quickbooks_usa','quickbooks_canada'] # use this if the data is in different databases/projects but uses the same schema name

#source file what I wanted to do:
version: 2

sources:
  - name: quickbooks
    schema:  "{{ env_var('DBT_SCHEMA') }}"
    database: "{{ var('quickbooks_database', target.database) }}"
    loader: fivetran
    loaded_at_field: _fivetran_synced

Hey Bernhard,

To summarize, you have multiple clients and wish to keep the model output for each one separate, which makes sense. In that case, the union feature wouldn’t be optimal.

In our post here we cover how to run using, and output to, separate schemas:
https://community.fivetran.com/t5/developer-forum/️-running-a-dbt-package-against-separate-schemas/m-p/51

Hope that helps!

Thanks @renee-li-fivetran , i will reply to that thread.