servicecatalog_puppet/workflow/workspaces/provision_workspace_task.py [61:117]:
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        }
        if not self.is_running_in_spoke():
            requirements[
                "account_ready"
            ] = prepare_account_for_workspace_task.PrepareAccountForWorkspaceTask(
                puppet_account_id=self.puppet_account_id, account_id=self.account_id,
            )
        return requirements

    def resources_used(self):
        return [
            (self.account_id, Limits.CODEBUILD_CONCURRENT_PROJECTS),
        ]

    def run(self):
        with self.hub_client("s3") as s3:
            options = (
                zipfile.ZipFile(
                    io.BytesIO(
                        s3.get_object(Bucket=self.bucket, Key=self.key)
                        .get("Body")
                        .read()
                    )
                )
                .open(f"options.json", "r")
                .read()
            )

        options = json.loads(options)

        zip_file_path = f"s3://{self.bucket}/{self.key}"
        state_file_path = f"s3://sc-puppet-state-{self.account_id}/workspace/{self.workspace_name}/{self.account_id}/{self.region}.zip"
        with self.spoke_client("codebuild") as codebuild:
            parameters_to_use = [
                dict(name="TARGET_ACCOUNT", value=self.account_id, type="PLAINTEXT",),
                dict(name="STATE_FILE", value=state_file_path, type="PLAINTEXT",),
                dict(name="ZIP", value=zip_file_path, type="PLAINTEXT",),
            ]

            for parameter_name, parameter_value in self.get_parameter_values().items():
                parameters_to_use.append(
                    dict(
                        name=f"TF_VAR_{parameter_name}",
                        value=f"{parameter_value}",
                        type="PLAINTEXT",
                    ),
                )

            parameters_to_use.append(
                dict(
                    name="TERRAFORM_VERSION",
                    value=options.get("Terraform", {}).get(
                        "Version", constants.DEFAULT_TERRAFORM_VERSION_VALUE
                    ),
                    type="PLAINTEXT",
                ),
            )
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servicecatalog_puppet/workflow/workspaces/terminate_workspace_task.py [62:118]:
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        }
        if not self.is_running_in_spoke():
            requirements[
                "account_ready"
            ] = prepare_account_for_workspace_task.PrepareAccountForWorkspaceTask(
                puppet_account_id=self.puppet_account_id, account_id=self.account_id,
            )
        return requirements

    def resources_used(self):
        return [
            (self.account_id, Limits.CODEBUILD_CONCURRENT_PROJECTS),
        ]

    def run(self):
        with self.hub_client("s3") as s3:
            options = (
                zipfile.ZipFile(
                    io.BytesIO(
                        s3.get_object(Bucket=self.bucket, Key=self.key)
                        .get("Body")
                        .read()
                    )
                )
                .open(f"options.json", "r")
                .read()
            )

        options = json.loads(options)

        zip_file_path = f"s3://{self.bucket}/{self.key}"
        state_file_path = f"s3://sc-puppet-state-{self.account_id}/workspace/{self.workspace_name}/{self.account_id}/{self.region}.zip"
        with self.spoke_client("codebuild") as codebuild:
            parameters_to_use = [
                dict(name="TARGET_ACCOUNT", value=self.account_id, type="PLAINTEXT",),
                dict(name="STATE_FILE", value=state_file_path, type="PLAINTEXT",),
                dict(name="ZIP", value=zip_file_path, type="PLAINTEXT",),
            ]

            for parameter_name, parameter_value in self.get_parameter_values().items():
                parameters_to_use.append(
                    dict(
                        name=f"TF_VAR_{parameter_name}",
                        value=f"{parameter_value}",
                        type="PLAINTEXT",
                    ),
                )

            parameters_to_use.append(
                dict(
                    name="TERRAFORM_VERSION",
                    value=options.get("Terraform", {}).get(
                        "Version", constants.DEFAULT_TERRAFORM_VERSION_VALUE
                    ),
                    type="PLAINTEXT",
                ),
            )
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