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A package that can be used to create a build process

Project description

py-build

A package that includes a class for building applications using python

Usage

The builder uses decorators to designate build steps:

import py_build

# Create the builder object
builder = py_build.Builder()

# Add steps to the builder
@builder.build_step()
def step1():
    return "Output from step 1"

@builder.build_step()
def step2():
    return "Output from step 2"

Call each step to run the build:

step1()
step2()

Capturing build step results

The output from build steps (or other processes from inside a build step) can be captured using the Builder().capture_results decorator method.

This method accepts a list of Callable's that will be called in the order given with the return value from function decorated.

The following code will print the results from each build step on screen:

import py_build

def output_fnc(output: str):
    print(output)

# Create the builder object
builder = py_build.Builder()

# Add steps to the builder
@builder.build_step()
@builder.capture_results(output_fnc)
def step1():
    return "Output from step 1"

@builder.build_step()
@builder.capture_results(output_fnc)
def step2():
    return "Output from step 2"

step1()
step2()

# Prints:
# Output from step 1
# Output from step 2

Progress Reporting

The progress of the build can be captured as well using the Builder().capture_progress decorator method. This method accepts a list of Callable's that accept a float between 0 and 1

The following code will print the progress of the build in percentile:

import py_build

def progress_fnc(progress: float):
    print(round(progress * 100))

# Create the builder object
builder = py_build.Builder()

# Add steps to the builder
@builder.build_step()
@builder.capture_progress(progress_fnc)
def step1():
    return "Output from step 1"

@builder.build_step()
@builder.capture_progress(progress_fnc)
def step2():
    return "Output from step 2"

step1()
step2()

# Prints:
# 50
# 100

Composed Decorators

The builder can also combine decorators into a single decorator. This can be useful for preventing repeat code like in the examples above. It can also be used to differentiate main steps from substeps and the like.

The following code will print the results and progress from each step:

import py_build

def progress_fnc(progress: float):
    print(round(progress * 100))

def output_fnc(output: str):
    print(output)

# Create the builder object
builder = py_build.Builder()

main_step = builder.composed(
    @builder.build_step(),
    @builder.capture_progress(progress_fnc),
    @builder.capture_results(output_fnc)
)

# Add steps to the builder
@main_step
def step1():
    return "Output from step 1"

@main_step
def step2():
    return "Output from step 2"

step1()
step2()

# Prints:
# Output from step 1
# 50
# Output from step 2
# 100

The Builder().build() method

We can also make the builder run steps sequentially with a single method call.

This example does the same thing as the previous example, but uses the Builder().build() method to execute all the build steps:

import py_build

def progress_fnc(progress: float):
    print(round(progress * 100))

def output_fnc(output: str):
    print(output)

# Create the builder object
builder = py_build.Builder()

main_step = builder.composed(
    @builder.build_step(),
    @builder.capture_progress(progress_fnc),
    @builder.capture_results(output_fnc)
)

# Add steps to the builder
@main_step
def step1():
    return "Output from step 1"

@main_step
def step2():
    return "Output from step 2"

builder.build()

# Prints:
# Output from step 1
# 50
# Output from step 2
# 100

Using arguments

It is also possible to pass arguments to each build step.

The following example illustrates this:

import py_build

def progress_fnc(progress: float):
    print(round(progress * 100))

def output_fnc(output: str):
    print(output)

# Create the builder object
builder = py_build.Builder()

main_step = builder.composed(
    @builder.build_step(),
    @builder.capture_progress(progress_fnc),
    @builder.capture_results(output_fnc)
)

# Add steps to the builder

@main_step
def step1(kw: str='keyword'):
    return "Output from step 1 " + kw

@main_step
def step2(pos: str):
    return "Output from step 2 " + pos

@main_step
def step3():
    return "Output from step 3"

# The following is the same as calling:
# step1()
# step2('positional')
# step3()

builder.build(
    [None, ('positional',)]
)

# Prints:
# Output from step 1 keyword
# 33
# Output from step 2 positional
# 67
# Output from step 3
# 100

There are a few caveats to note about the above example:

  • The arguments passed are passed in by the order given in iterables
  • Arguments that are None type are passed in as tuple()'s
  • If the arguments list is shorter than the number of build steps then the remaining arguments are None
  • The Builder().build_step() must be the first decorator for a function for the example to work correctly
  • It may be more readable to use keyword arguments in build steps instead of positional for large build processes

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