airflow/models/taskinstance.py
def generate_command(dag_id,
                         task_id,
                         execution_date,
                         mark_success=False,
                         ignore_all_deps=False,
                         ignore_depends_on_past=False,
                         ignore_task_deps=False,
                         ignore_ti_state=False,
                         local=False,
                         pickle_id=None,
                         file_path=None,
                         raw=False,
                         job_id=None,
                         pool=None,
                         cfg_path=None
                         ):
        """
        Generates the shell command required to execute this task instance.

        :param dag_id: DAG ID
        :type dag_id: unicode
        :param task_id: Task ID
        :type task_id: unicode
        :param execution_date: Execution date for the task
        :type execution_date: datetime
        :param mark_success: Whether to mark the task as successful
        :type mark_success: bool
        :param ignore_all_deps: Ignore all ignorable dependencies.
            Overrides the other ignore_* parameters.
        :type ignore_all_deps: bool
        :param ignore_depends_on_past: Ignore depends_on_past parameter of DAGs
            (e.g. for Backfills)
        :type ignore_depends_on_past: bool
        :param ignore_task_deps: Ignore task-specific dependencies such as depends_on_past
            and trigger rule
        :type ignore_task_deps: bool
        :param ignore_ti_state: Ignore the task instance's previous failure/success
        :type ignore_ti_state: bool
        :param local: Whether to run the task locally
        :type local: bool
        :param pickle_id: If the DAG was serialized to the DB, the ID
            associated with the pickled DAG
        :type pickle_id: unicode
        :param file_path: path to the file containing the DAG definition
        :param raw: raw mode (needs more details)
        :param job_id: job ID (needs more details)
        :param pool: the Airflow pool that the task should run in
        :type pool: unicode
        :param cfg_path: the Path to the configuration file
        :type cfg_path: basestring
        :return: shell command that can be used to run the task instance
        """
        iso = execution_date.isoformat()
        cmd = ["airflow", "run", str(dag_id), str(task_id), str(iso)]
        cmd.extend(["--mark_success"]) if mark_success else None
        cmd.extend(["--pickle", str(pickle_id)]) if pickle_id else None
        cmd.extend(["--job_id", str(job_id)]) if job_id else None
        cmd.extend(["-A"]) if ignore_all_deps else None
        cmd.extend(["-i"]) if ignore_task_deps else None
        cmd.extend(["-I"]) if ignore_depends_on_past else None
        cmd.extend(["--force"]) if ignore_ti_state else None
        cmd.extend(["--local"]) if local else None
        cmd.extend(["--pool", pool]) if pool else None
        cmd.extend(["--raw"]) if raw else None
        cmd.extend(["-sd", file_path]) if file_path else None
        cmd.extend(["--cfg_path", cfg_path]) if cfg_path else None
        return cmd
def generate_command(dag_id,
                         task_id,
                         execution_date,
                         mark_success=False,
                         ignore_all_deps=False,
                         ignore_depends_on_past=False,
                         ignore_task_deps=False,
                         ignore_ti_state=False,
                         local=False,
                         pickle_id=None,
                         file_path=None,
                         raw=False,
                         job_id=None,
                         pool=None,
                         cfg_path=None
                         ):
        """
        Generates the shell command required to execute this task instance.

        :param dag_id: DAG ID
        :type dag_id: unicode
        :param task_id: Task ID
        :type task_id: unicode
        :param execution_date: Execution date for the task
        :type execution_date: datetime
        :param mark_success: Whether to mark the task as successful
        :type mark_success: bool
        :param ignore_all_deps: Ignore all ignorable dependencies.
            Overrides the other ignore_* parameters.
        :type ignore_all_deps: bool
        :param ignore_depends_on_past: Ignore depends_on_past parameter of DAGs
            (e.g. for Backfills)
        :type ignore_depends_on_past: bool
        :param ignore_task_deps: Ignore task-specific dependencies such as depends_on_past
            and trigger rule
        :type ignore_task_deps: bool
        :param ignore_ti_state: Ignore the task instance's previous failure/success
        :type ignore_ti_state: bool
        :param local: Whether to run the task locally
        :type local: bool
        :param pickle_id: If the DAG was serialized to the DB, the ID
            associated with the pickled DAG
        :type pickle_id: unicode
        :param file_path: path to the file containing the DAG definition
        :param raw: raw mode (needs more details)
        :param job_id: job ID (needs more details)
        :param pool: the Airflow pool that the task should run in
        :type pool: unicode
        :param cfg_path: the Path to the configuration file
        :type cfg_path: basestring
        :return: shell command that can be used to run the task instance
        """
        iso = execution_date.isoformat()
        cmd = ["airflow", "run", str(dag_id), str(task_id), str(iso)]
        cmd.extend(["--mark_success"]) if mark_success else None
        cmd.extend(["--pickle", str(pickle_id)]) if pickle_id else None
        cmd.extend(["--job_id", str(job_id)]) if job_id else None
        cmd.extend(["-A"]) if ignore_all_deps else None
        cmd.extend(["-i"]) if ignore_task_deps else None
        cmd.extend(["-I"]) if ignore_depends_on_past else None
        cmd.extend(["--force"]) if ignore_ti_state else None
        cmd.extend(["--local"]) if local else None
        cmd.extend(["--pool", pool]) if pool else None
        cmd.extend(["--raw"]) if raw else None
        cmd.extend(["-sd", file_path]) if file_path else None
        cmd.extend(["--cfg_path", cfg_path]) if cfg_path else None
        return cmd
Generates the shell command required to execute this task instance.

        :param dag_id: DAG ID
        :type dag_id: unicode
        :param task_id: Task ID
        :type task_id: unicode
        :param execution_date: Execution date for the task
        :type execution_date: datetime
        :param mark_success: Whether to mark the task as successful
        :type mark_success: bool
        :param ignore_all_deps: Ignore all ignorable dependencies.
            Overrides the other ignore_* parameters.
        :type ignore_all_deps: bool
        :param ignore_depends_on_past: Ignore depends_on_past parameter of DAGs
            (e.g. for Backfills)
        :type ignore_depends_on_past: bool
        :param ignore_task_deps: Ignore task-specific dependencies such as depends_on_past
            and trigger rule
        :type ignore_task_deps: bool
        :param ignore_ti_state: Ignore the task instance's previous failure/success
        :type ignore_ti_state: bool
        :param local: Whether to run the task locally
        :type local: bool
        :param pickle_id: If the DAG was serialized to the DB, the ID
            associated with the pickled DAG
        :type pickle_id: unicode
        :param file_path: path to the file containing the DAG definition
        :param raw: raw mode (needs more details)
        :param job_id: job ID (needs more details)
        :param pool: the Airflow pool that the task should run in
        :type pool: unicode
        :param cfg_path: the Path to the configuration file
        :type cfg_path: basestring
        :return: shell command that can be used to run the task instance