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seesaw 0.9.4

ArchiveTeam seesaw kit

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]( It also powers the [Archive Team warrior](

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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/ someone

Point your browser to ``.

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


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]( for more information.

File Type Py Version Uploaded on Size
seesaw-0.9.4-py2.7.egg (md5, pgp) Python Egg 2.7 2017-10-14 200KB
seesaw-0.9.4.tar.gz (md5, pgp) Source 2017-10-14 138KB