Skip to main content

ArchiveTeam seesaw kit

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)


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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

seesaw-0.3.tar.gz (109.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

seesaw-0.3-py2.7.egg (168.1 kB view details)

Uploaded Egg

File details

Details for the file seesaw-0.3.tar.gz.

File metadata

  • Download URL: seesaw-0.3.tar.gz
  • Upload date:
  • Size: 109.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for seesaw-0.3.tar.gz
Algorithm Hash digest
SHA256 4960743bc9c5da5f2bbbf0b4e970f9952395f9249c5b1b7603b9ef745f56f04b
MD5 93763ffc0aa276856699a9fb514c43f9
BLAKE2b-256 1796b481ab8733d27d5198e6599cac87395f2f14846a059eace941c44b168f60

See more details on using hashes here.

File details

Details for the file seesaw-0.3-py2.7.egg.

File metadata

  • Download URL: seesaw-0.3-py2.7.egg
  • Upload date:
  • Size: 168.1 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for seesaw-0.3-py2.7.egg
Algorithm Hash digest
SHA256 f160a78eda6a77ec14b77742049d68a6896038697c767366160fd7bf4ece099f
MD5 86048c7d2b9207fb29d32ba2ff9bdafa
BLAKE2b-256 4c180c5cb1f04e7674f1fcb8a1194caae9c54112be8c2a0a5a303599053c36c4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page