https://github.com/peopledoc/insight-reloaded

**DEPRECTATED** A full async docsplit previewer server based on Tornado and Redis
https://github.com/peopledoc/insight-reloaded

approved-public ghec-mig-migrated

Last synced: 17 days ago
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**DEPRECTATED** A full async docsplit previewer server based on Tornado and Redis

• Host: GitHub
• URL: https://github.com/peopledoc/insight-reloaded
• Owner: peopledoc
• License: other
• Created: 2012-10-17T12:30:15.000Z (about 12 years ago)
• Default Branch: master
• Last Pushed: 2015-06-10T09:21:03.000Z (over 9 years ago)
• Last Synced: 2024-04-29T23:00:13.215Z (8 months ago)
• Topics: approved-public, ghec-mig-migrated
• Language: Python
• Homepage:
• Size: 699 KB
• Stars: 1
• Watchers: 15
• Forks: 0
• Open Issues: 13
• Metadata Files:
  • Readme: README
  • Changelog: CHANGELOG
  • License: LICENSE

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README

        
================

Insight-Reloaded

================

Introduction

============

We are working to find the best solution for our previewer media server.

The case is simple, we have PDF and we want to preview them (small,

medium, large, header).

We first started with Insight_ which allows people to ask for sync

and async previews generations from an url with caching.

The system is able to register engines so that we can manipulate

documents on the flow.

The idea of Insight-Reloaded is to remove the sync mode and delegate

it to Nginx with disk or S3 storage.

If the document preview is not ready, we want a 404 error.

We will get the document preview url with a callback.

The API

=======

Simple example

++++++++++++++

::

    curl -X GET "http://localhost:8888/?url=http://my_file_url.com/file.pdf&callback=http://requestb.in/12vsewg"

    {"insight_reloaded": "Job added to queue.", "number_in_queue": 14}

    curl -X GET http://localhost:8888/status

    {"insight_reloaded": "There is 14 job in the queue.", "number_in_queue": 14}

    curl -X GET http://localhost:8888/

    {"version": "1.5", "insight_reloaded": "Bonjour", "name": "insight-reloaded"}

Multi-queues example

++++++++++++++++++++

You must to configure ``REDIS_QUEUE_KEYS`` in your ``settings.py``.

::

    REDIS_QUEUE_KEYS = ['urgent', 'normal']

    DEFAULT_REDIS_QUEUE_KEY = 'normal'

Then you can use::

    curl -X GET "http://localhost:8888/urgent?url=http://my_file_url.com/file.pdf&callback=http://requestb.in/12vsewg"

    {"insight_reloaded": "Job added to queue 'normal'.", "number_in_queue": 14}

    curl -X GET http://localhost:8888/urgent/status

    {"insight_reloaded": "There is 14 job in the 'urgent' queue.", "number_in_queue": 14}

    curl -X GET http://localhost:8888/

    {"version": "1.5", "insight_reloaded": "Bonjour", "name": "insight-reloaded"}

Set hash

++++++++

By default, insight compute preview hash using url (sha1(url)). You can also send it within the request if you want, be sure that each preview has an uniq hash:

::

    curl -X GET "http://localhost:8888/?url=http://my_file_url.com/file.pdf&callback=http://requestb.in/12vsewg?hash=123456789"

    {"insight_reloaded": "Job added to queue.", "number_in_queue": 14}

Service architecture

====================

.. image:: https://raw.github.com/novapost/insight-reloaded/master/docs/_static/InsightReloaded.png

.. _Insight: https://github.com/novapost/insight

Server provisioning

===================

You can find insight-reloaded chef cookbooks here : https://github.com/novapost/insight-installer

This will helps you install all requirements to run your insight-reloaded server.

Run the tests

=============

::

    make test