@Scout here is my repo structure: setup.py dagster_cloud.yaml dagster/ common/ pipelines/ pipeline_1/ pipeline_2/ I want to configure dagster_cloud so that all my package locations are loaded (common, pipeline_1 and pipeline_2) Give me the structure of dagster_cloud.yaml

Based on the structure of your repository, you want to configure the

dagster_cloud.yaml

file to include multiple code locations corresponding to the

common

,

pipeline_1

, and

pipeline_2

directories within the

dagster

directory. Here's how you can structure your

dagster_cloud.yaml

file to achieve this:

yaml # dagster_cloud.yaml  locations:   - location_name: common-code     code_source:       package_name: dagster.common     build:       directory: ./dagster/common    - location_name: pipeline-1-code     code_source:       package_name: dagster.pipelines.pipeline_1     build:       directory: ./dagster/pipelines/pipeline_1    - location_name: pipeline-2-code     code_source:       package_name: dagster.pipelines.pipeline_2     build:       directory: ./dagster/pipelines/pipeline_2

In this configuration: - Each

location_name

is a unique identifier for the code location. - The

code_source

specifies the source of the code for each location. In this case, it's a Python package, and you specify the package name relative to your project structure. - The

build

section contains the

directory

parameter, which specifies the directory where the code for that location is located. This is useful if your

setup.py

or

requirements.txt

is in a subdirectory instead of the project root. Please ensure that your

setup.py

is configured correctly to include these packages as part of your project. If you have a monorepo with multiple projects, you might need to adjust the

package_name

and

directory

paths accordingly to match your actual package structure. Remember to replace the

package_name

values with the correct Python package names as they are defined in your project. If your packages are not structured as installable Python packages, you may need to adjust the

code_source

configuration to point to Python files or modules instead.

Update the previous code, with the following update in my file structure: setup.py dagster_cloud.yaml dagster/ common/ didag_common/ setup.py pipelines/ pipeline_1/ didag_pipeline_1/ setup.py pipeline_2/ didag_pipeline_2 setup.py the package code is in didag_pipeline_1/ Is it the same structure of dagster_cloud.yaml ?

Given the updated file structure, the

dagster_cloud.yaml

needs to be adjusted to reflect the new locations of the

setup.py

files and the package directories. Here's the updated structure for your `dagster_cloud.yaml`:

yaml # dagster_cloud.yaml  locations:   - location_name: common-code     code_source:       package_name: didag_common     build:       directory: ./dagster/common/didag_common    - location_name: pipeline-1-code     code_source:       package_name: didag_pipeline_1     build:       directory: ./dagster/pipelines/pipeline_1/didag_pipeline_1    - location_name: pipeline-2-code     code_source:       package_name: didag_pipeline_2     build:       directory: ./dagster/pipelines/pipeline_2/didag_pipeline_2

In this updated configuration: - The

location_name

remains a unique identifier for each code location. - The

code_source

now points to the package names that are likely to be defined in the

setup.py

within each subdirectory (

didag_common

,

didag_pipeline_1

, and

didag_pipeline_2

). - The

build

section's

directory

parameter has been updated to point to the new subdirectories where the

setup.py

files are located for each package. Make sure that each

setup.py

within the subdirectories correctly defines the package and any necessary package data. The

package_name

should match the name you give your package in its respective

setup.py

. If the structure of your Python packages is different from standard practices, you may need to adjust the

package_name

and

directory

paths accordingly.