75 lines
1.8 KiB
Python
75 lines
1.8 KiB
Python
# step-1
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from __future__ import print_function
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import hashlib
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from shade import *
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conn = openstack_cloud(cloud='myfavoriteopenstack')
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# step-2
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container_name = 'fractals'
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container = conn.create_container(container_name)
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print(container)
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# step-3
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print(conn.list_containers())
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# step-4
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file_path = 'goat.jpg'
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object_name = 'an amazing goat'
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container = conn.get_container(container_name)
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object = conn.create_object(container=container_name, name=object_name, filename=file_path)
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# step-5
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print(conn.list_objects(container_name))
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# step-6
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object = conn.get_object(container_name, object_name)
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print(object)
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# step-7
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print(hashlib.md5(open('goat.jpg', 'rb').read()).hexdigest())
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# step-8
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conn.delete_object(container_name, object_name)
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# step-9
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print(conn.list_objects(container_name))
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# step-10
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container_name = 'fractals'
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print(conn.get_container(container_name))
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# step-11
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import base64
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import cStringIO
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import json
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import requests
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endpoint = 'http://IP_API_1'
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params = { 'results_per_page': '-1' }
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response = requests.get('%s/v1/fractal' % endpoint, params=params)
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data = json.loads(response.text)
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for fractal in data['objects']:
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r = requests.get('%s/fractal/%s' % (endpoint, fractal['uuid']), stream=True)
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with open(fractal['uuid'], 'wb') as f:
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for chunk in r.iter_content(chunk_size=1024):
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if chunk:
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f.write(chunk)
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conn.create_object(container=container_name, name=fractal['uuid'])
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for object in conn.list_objects(container_name):
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print(object)
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# step-12
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for object in conn.list_objects(container_name):
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conn.delete_object(container_name, object['name'])
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conn.delete_container(container_name)
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# step-13
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metadata = {'foo': 'bar'}
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conn.create_object(container=container_name, name=fractal['uuid'],
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metadata=metadata
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)
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# step-14
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