Readme.md

Flatty

Very simple way to make your generators flat

Usage examples

When you extract data from MySQL, process data, then load into MongoDB, you should write code like in example:

def transform_from_mysql():
# some code to fetch data
# ... 
    for row in result:
        # ...
        # some code to process data
        # ...
        load_into_mongo(processed_row)
# ...    

This code will work, but you cannot reuse function transform_from_mysql, if you need change process logic, or change mongoDB for Cassandra.

You can write 3 separate functions using flatty and reuse it:

import flatty

def transform_mysql() -> dict:
    # fetch data
    for row in cursor:
        yield row

def process(row: dict) -> dict:
    ...

def load_mongo(row: dict):
    ...

chain = flatty.next_fn(transform_mysql)
chain.next_fn(process)
chain.next_fn(load_mongo)
chain.execute()

Every next function will get result of previous as argument

Use it with generators :)

next_fn arguments

If the generator accepts arguments, such as the date range for the query in MongoDB, you can pass all arguments as follows:

def fetch_from_mongo(from_: datetime, to_: datetime):
    # ... request to mongo ...
    for document in result:
        yield document

def save_to_file(document: dict):
    # ... save document to file ...

to_ = datetime.utcnow()
from_ = to_ - timedelta(days=1)
chain = flatty.next_fn(fetch_from_mongo, from_, to_)

Very similar to using functools.partial