pypette 0.0.2

Package to make building pipelines ridiculously simple.

---

pypette (to be read as pippette) is a module which makes building pipelines ridiculously simple allowing users to control the flow with minimal instructions.

Features

• Simple interface.

• Ability to view pipeline structure within the comfort of terminal.

Setup

Using pip

pip install pypette

Directly from the repository

git clone https://github.com/csurfer/pypette.git
python pypette/setup.py install

Structures

Job

Basic unit of execution say a python method or callables.

from pypette import Job

def print_hello():
    print("Hello!")

def print_hello_msg(msg):
    print("Hello " + msg + "!")

# Job without arguments
j1 = Job(print_hello)

# Job with arguments specified as argument list
j2 = Job(print_hello_msg, args=("pypette is simple",))

# Job with arguments specified as key word arguments
j3 = Job(print_hello_msg, kwargs={"msg":"pypette is simple"})

Pipe

Structure to specify the flow in which the jobs needs to be executed. The whole interface consists of only 4 methods.

from pypette import Pipe

# 1. Create a new Pipe
p = Pipe('TestPipe')

# 2. Add jobs to execute. (Assuming job_list is a list of jobs)

# To run the jobs in job_list in order one after the other where each job waits
# for the job before it to finish.
p.add_jobs(job_list)

# To run the jobs in job_list parallelly and run the next step only after all
# jobs in job list finish.
p.add_jobs(job_list, run_in_parallel=True)

Building complex pipelines

Jobs submitted to pipeline should be callables i,e structures which can be run. This means python methods, lambdas etc qualify.

What about Pipe itself?

Ofcourse it is a callable and you can submit a pipe object to be run along with regular jobs. This way you can build small pipelines which achieve a specific task and then combine them to create more complex pipelines.

from pypette import Job, Pipe

def welcome():
    print("Welcome user!")

def havefun():
    print("Have fun!")

def goodbye():
    print("Goodbye!")

# Build a simple pipeline
p1 = Pipe('Fun')
p1.add_jobs([
    Job(havefun),
])

# Include simple pipeline into a complicated pipeline
p2 = Pipe('Overall')
p2.add_jobs([
    Job(welcome),
    p1,
    Job(goodbye),
])

p2.run() # This first runs welcome, then runs p1 pipeline then runs goodbye.

Example pipeline

An example pipeline and its code is included in examples folder.

Visualizing the pipeline using graph()

Pipeline objects have a method called graph() which helps visualize the pipeline within the comfort of your terminal. Graph is recursive in nature and it visualizes everything that will be run if we call run() on the pipe object.

Visualizing the top level pipeline in examples/basic.py led to the following visualization.

Running the entire pipeline.

The only thing you need to do at this point to run the entire pipeline is to call run() on your pipeline object.

Contributing

Bug Reports and Feature Requests

Please use issue tracker for reporting bugs or feature requests.

Development

Pull requests are most welcome.

Buy the developer a cup of coffee!

If you found the utility helpful you can buy me a cup of coffee using