Python I/O pipe utilities
Project description
Tubing is a Python I/O library. What makes tubing so freakin’ cool is the gross abuse of the bitwise OR operator (|). Have you ever been writing python code and thought to yourself, “Man, this is great, but I really wish it was a little more like bash.” Welp, we’ve made python a little more like bash.If you are a super lame nerd-kid, you can replace any of the bitwise ORs with the pipe() function and pray we don’t overload any other operators in future versions. If you do avoid the bitwise OR, we don’t know if we want to hang out with you.
Tubing is pretty bare-bones at the moment. We’ve tried to make it easy to add your own functionality. Hopefully you find it not all that unpleasant. There are three sections below for adding sources, pipes and sink. If you do make some additions, think about committing them back upstream. We’d love to have a full suite of tools.
Now, witness the full power of this fully operational I/O library:
from tubing import sources, pipes, sinks objs = [ dict( name="Bob Corsaro", birthdate="08/03/1977", alignment="evil", ), dict( name="Tom Brady", birthdate="08/03/1977", alignment="good", ), ] sources.Objects(objs) \ | pipes.JSONSerializer() \ | pipes.Joined(by=b"\n") \ | pipes.Gzip() \ | sinks.File("output.gz", "wb")
Then in our old friend bash:
$ zcat output.gz {"alignment": "evil", "birthdate": "08/03/1977", "name": "Bob Corsaro"} {"alignment": "good", "birthdate": "08/03/1977", "name": "Tom Brady"} $
We need to seriously think about renaming pipes to tubes.. man, what was I thinking?
Catalog
# TODO: List all our tools here. For now, look through the code, it’s not big at all.
Sources
To make your own source, create a Reader class with the following interface:
class MyReader(object): """ MyReader returns count instances of data. """ def __init__(self, data="hello world\n", count=10): self.data = data self.count = count def read(self, amt): """ read(amt) returns $amt of data and a boolean indicating EOF. """ if not amt: amt = self.count r = self.data * min(amt, self.count) self.count -= amt return r, self.count <= 0
The important thing to remember is that your read function should return an iterable of units of data, not a single piece of data. Then wrap your reader in the loving embrace of MakeSource:
from tubing import sources MySource = sources.MakeSource(MyReader)
Now it can be used in a pipeline!:
from __future__ import print_function from tubing import pipes sink = MySource(data="goodbye cruel world!", count=1) \ | pipes.Joined(by=b"\n") \ | sinks.Bytes() print(sinks.result) # Output: goodby cruel world!
Pipes
Making your own pipe is a lot more fun, trust me. First make a Transformer:
class OptimusPrime(object): def transform(self, chunk): return list(reversed(chunk))
chunk is an iterable with a len() of whatever type of data the stream is working with. In Transformers, you don’t need to worry about buffer size or closing or exception, just transform an iterable to another iterable. There are lots of examples in pipes.py.
Next give Optimus Prime a hug:
from tubing import pipes AllMixedUp = pipes.MakePipe(OptimusPrime)
Ready to mix up some data?:
from __future__ import print_function import json from tubing import sources, sinks objs = [{"number": i} for i in range(0, 10)] sink = sources.Objects(objs) \ | AllMixedUp(chunk_size=2) \ | sinks.Objects() print(json.dumps(sink)) # Output: [{"number": 1}, {"number": 0}, {"number": 3}, {"number": 2}, {"number": 5}, {"number": 4}, {"number": 7}, {"number": 6}, {"number": 9}, {"number": 8}]
Sinks
Really getting tired of making documentation… Maybe I’ll finish later. I have real work to do.
Well.. I’m this far, let’s just push through:
from __future__ import print_function from tubing import sources, pipes, sinks class StdoutWriter(object): def write(self, chunk): for part in chunk: print(part) def close(self): # this function is optional print("That's all folks!") def abort(self): # this is also optional print("Something terrible has occurred.") Debugger = sinks.MakeSink(StdoutWriter) objs = [{"number": i} for i in range(0, 10)] sink = sources.Objects(objs) \ | AllMixedUp(chunk_size=2) \ | pipes.JSONSerializer() \ | pipes.Joined(by=b"\n") \ | Debugger() # Output: #{"number": 1} #{"number": 0} #{"number": 3} #{"number": 2} #{"number": 5} #{"number": 4} #{"number": 7} #{"number": 6} #{"number": 9} #{"number": 8} #That's all folks!
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