Skip to content

oliverm91/processes

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Library for process automation

In processes, a Process can execute a series of Tasks sequentially. The process takes into account dependencies of Tasks.

All Tasks write logs to a logfile. Logfiles can be shared across Tasks. Optionally, it can inform of raised exceptions via email with SMTP.

If a Task raises an exception, the Process does not stop and it will execute all other Tasks that do not have a dependency on failed Task.

Order of Tasks is not relevant. Process will sort according to Tasks dependencies.

Example:
from processes import Process, Task, HTMLSMTPHandler


def random_routine_to_do_first():
    pass

def get_b() -> int:
    return 10

def get_c() -> int:
    return 5

def div(a: int, b: int, c: int=5) -> float:
    return (a   b) / c

# Optional, defined in easy_smtp lib
smtp_handler = HTMLSMTPHandler(('smtp_server', 587), '[email protected]', ['[email protected]'], use_tls=True, credentials=('username', 'password'))

curdir = os.path.dirname(__file__)
tasks = []
# Task(name (unique in a process), logfile, function, Optional args, Optional kwargs, Optional mail_handler)
t1 = Task("task_1", os.path.join(curdir, "logfile_12.log"),
            get_b, html_mail_handler=smtp_handler)
tasks.append(t1)
t2 = Task("task_2", os.path.join(curdir, "logfile_12.log"),
            get_c, dependencies=[TaskDependency("task_1")]) # Need task_1 to complete first
tasks.append(t2)
t3 = Task("task_3", os.path.join(curdir, "logfile_3.log"),
            div, args=(10, ), dependencies=[TaskDependency("task_1", use_result_as_additional_args=True),
                                            TaskDependency("task_2", use_result_as_additional_kwargs=True, additional_kwarg_name="c")])
# Task 3 needs task_1 and task_2 to execute first.
# Additionally, task_3 will add result of task_1 as an extra args for its function (10, ) -> (10, result_task1)
# Also, task_3 will add result of task_2 as a kwarg it keyword "c".
# Finally, task_3 calls div(10, result_1, c=result_2) or div(10, 10, c=5).
tasks.append(t3)

# Order of tasks is not relevant. Process sort according to dependencies.
process = Process(tasks)
process_result = process.run()

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages