Signtractions project is set of pytraction tractions, tractors, models and resources which wraps functionality of pubtools-sign project to provide containerized container singing.

1. Install signtractions on your local machine
2. Run following python command to excute tractor or traction from signtractions

cat run_arguments.yml | python -m pytractions.cli run signtractions.<path-to-traction/tractor-you-want-to-run>:<Traction-or-Tractor-Class>

2. Run following python command to excute tractor or traction from signtractions in a container

cat run_arguments.yml | podman -v userdata:/userdata run -i signtractions:latest run signtractions.<path-to-traction/tractor-you-want-to-run>:<Traction-or-Tractor-Class>

1. To generate tekton Task spec you can run

podman signtractions:latest generate_tekton_task signtractions.<path-to-traction/tractor-you-want-to-run>:<Traction-or-Tractor-Class> quay.io/jluza/signtractions:latest

2. To generate tekton TaskRun spec you can run

podman signtractions:latest generate_tekton_task_run signtractions.<path-to-traction/tractor-you-want-to-run>:<Traction-or-Tractor-Class> quay.io/jluza/signtractions:latest

3. To generate pipeline instead of task, you just pass --type tractor after 'generate_tekton_task_run'. Only tractors can be generated as tekton pipelines

1. To generate yaml file with default inputs used to feed running tractor or tractions (run_arguments.yml in examples above) you can run

python -m pytractions.cli generate_inputs signtractions.<path-to-traction/tractor-you-want-to-run>:<Traction-or-Tractor-Class>

or

podman signtractions:latest generate_inputs signtractions.<path-to-traction/tractor-you-want-to-run>:<Traction-or-Tractor-Class>

More info about framework used to build this project can be found here: https://github.com/midnightercz/pytractions/ Or by running

podman run -p 8501:8501 signtractions:latest web

##Generated part

Name: pytractions.transformations:Extractor

Docs:

Inputs:

• Name: i_model

  Type: In[T]

  Docs:

Outputs:

• Name: o_model

  Type: Out[X]

  Docs:

Resources:

Args:

• Name: a_field

  Type: Arg[str]

  Docs:

Name: pytractions.transformations:FilterDuplicates

Docs:

Inputs:

• Name: i_list

  Type: In[TList[T]]

  Docs:

Outputs:

• Name: o_list

  Type: Out[TList[T]]

  Docs:

Resources:

Args:

Name: pytractions.transformations:Flatten

Docs:

Inputs:

• Name: i_complex

  Type: In[TList[TList[T]]]

  Docs:

Outputs:

• Name: o_flat

  Type: Out[TList[T]]

  Docs:

Resources:

Args:

Name: pytractions.transformations:ListMultiplier

Docs: Takes lengh of input list and creates output list of the same length filled with scalar value.

Inputs:

• Name: i_list

  Type: In[TList[T]]

  Docs: Input list.

• Name: i_scalar

  Type: In[X]

  Docs: Scalar value.

Outputs:

• Name: o_list

  Type: Out[TList[X]]

  Docs: Output list.

Resources:

Args:

Name: signtractions.tractors.t_sign_containers:SignContainers

Docs: Sign container images provided as input in cosign wrapper with signing keys provided as input.

Inputs:

• Name: i_container_image_references

  Type: In[TList[str]]

  Docs: List of container image references to sign.

• Name: i_task_id

  Type: In[int]

  Docs: Task ID to identify signing request.

• Name: i_signing_keys

  Type: In[TList[str]]

  Docs: List of signing keys used to sign containers. One key per container.

Outputs:

• Name: o_sign_entries

  Type: Out[TList[SignEntry]]

  Docs:

Resources:

• Name: r_signer_wrapper_cosign

  Type: Res[Union[MsgSignerWrapper,CosignSignerWrapper,FakeCosignSignerWrapper]]

  Docs:

• Name: r_dst_quay_client

  Type: Res[Union[QuayClient,FakeQuayClient]]

  Docs:

Args:

• Name: a_pool_size

  Type: Arg[int]

  Docs: Pool size used for STMD tractions

• Name: a_executor_type

  Type: Arg[STMDExecutorType]

  Docs: