This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description
Seesaw toolkit
==============

An asynchronous toolkit for distributed web processing. Written in Python and named after its behavior, it supports concurrent downloads, uploads, etc.

This toolkit is well-known for [Archive Team projects](http://archiveteam.org). It also powers the [Archive Team warrior](http://archiveteam.org/index.php?title=Warrior)

[![Build Status](https://secure.travis-ci.org/ArchiveTeam/seesaw-kit.png)](http://travis-ci.org/ArchiveTeam/seesaw-kit)
[![Coverage Status](https://coveralls.io/repos/ArchiveTeam/seesaw-kit/badge.svg)](https://coveralls.io/r/ArchiveTeam/seesaw-kit)

Installation
------------

Requires Python 2 or 3.

Needs the Tornado library for event-driven I/O. The complete list of Python modules needed are listed in requirements.txt.


How to try it out
-----------------

To run the example pipeline:

sudo pip install -r requirements.txt
./run-pipeline --help
./run-pipeline examples/example-pipeline.py someone

Point your browser to `http://127.0.0.1:8001/`.

You can also use `run-pipeline2` or `run-pipeline3` to be explicit for the Python version.


Overview
--------

General idea: a set of `Task`s that can be combined into a `Pipeline` that processes `Item`s:

* An `Item` is a thing that needs to be downloaded (a user, for example). It has properties that are filled by the `Task`s.
* A `Task` is a step in the download process: it takes an item, does something with it and passes it on. Example Tasks: getting an item name from the tracker, running a download script, rsyncing the result, notifying the tracker that it's done.
* A `Pipeline` represents a sequence of `Task`s. To make a seesaw script for a new project you'd specify a new `Pipeline`.

A `Task` can work on multiple `Item`s at a time (e.g., multiple Wget downloads). The concurrency can be limited by wrapping the task in a `LimitConcurrency` `Task`: this will queue the items and run them one-by-one (e.g., a single Rsync upload).

The `Pipeline` needs to be fed empty `Item` objects; by controlling the number of active `Item`s you can limit the number of items. (For example, add a new item each time an item leaves the pipeline.)

With the `ItemValue`, `ItemInterpolation` and `ConfigValue` classes it is possible to pass item-specific arguments to the `Task` objects. The value of these objects will be re-evaluated for each item. Examples: a path name that depends on the item name, a configurable bandwidth limit, the number of concurrent downloads.

Consult [the wiki](https://github.com/ArchiveTeam/seesaw-kit/wiki) for more information.
Release History

Release History

0.9.2

This version

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0.9.1

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0.9

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0.8.5

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0.8.4

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0.8.3

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0.8.2

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0.8.1

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0.8

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0.7

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0.6.1

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0.6

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0.5

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0.4

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0.3.1

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0.3

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0.2.2

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0.2.1

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0.2

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0.1.7

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0.1.6

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0.1.5

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0.1.4

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0.1.2

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0.0.16

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0.0.15

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0.0.14

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0.0.13

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0.0.12

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0.0.10

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0.0.9

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0.0.7

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0.0.5

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0.0.4

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
seesaw-0.9.2-py2.7.egg (205.2 kB) Copy SHA256 Checksum SHA256 2.7 Egg Apr 12, 2016
seesaw-0.9.2.tar.gz (140.9 kB) Copy SHA256 Checksum SHA256 Source Apr 12, 2016

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