insight_reloaded 1.6.6

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}