This file is indexed.

/usr/lib/python2.7/dist-packages/profitbricks-3.0.0.egg-info/PKG-INFO is in python-profitbricks 3.1.0-1.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
Metadata-Version: 1.1
Name: profitbricks
Version: 3.0.0
Summary: ProfitBricks API Client Library for Python
Home-page: https://github.com/profitbricks/profitbricks-sdk-python
Author: Matt Baldwin (stackpointcloud.com)
Author-email: baldwin@stackpointcloud.com
License: Apache 2.0
Download-URL: https://github.com/profitbricks/profitbricks-sdk-python/tarball/3.0.0
Description: The ProfitBricks Client Library for Python provides you with access to the ProfitBricks REST API. The client library supports both simple and complex requests. It is designed for developers who are building applications in Python.
        
        This guide will walk you through getting setup with the library and performing various actions against the API.
        
        ## Table of Contents
        
        * [Concepts](#concepts)
        * [Getting Started](#getting-started)
        * [Installation](#installation)
        * [Authenticating](#authenticating)
        * [Using the Module](#using-the-module)
        * [Additional Documentation and Support](#additional-documentation-and-support)
        * [How to: Create a Datacenter](#how-to-create-a-datacenter)
        * [How to: Delete a Datacenter](#how-to-delete-a-datacenter)
        * [How to: Update Cores, Memory, and Disk](#how-to-update-cores-memory-and-disk)
        * [How to: List Servers, Volumes, and Data Centers](#how-to-list-servers-volumes-and-data-centers)
        * [How to: Create Additional Network Interfaces](#how-to-create-additional-network-interfaces)
        * [How to: Check Resource Status](#how-to-check-resource-status)
        * [Conclusion](#conclusion)
        
        ## Concepts
        
        The Python Client Library wraps the latest version of the ProfitBricks REST API. All API operations are performed over SSL and authenticated using your ProfitBricks portal credentials. The API can be accessed within an instance running in ProfitBricks or directly over the Internet from any application that can send an HTTPS request and receive an HTTPS response.
        
        ## Getting Started
        
        Before you begin you will need to have [signed-up](https://www.profitbricks.com/signup) for a ProfitBricks account. The credentials you setup during sign-up will be used to authenticate against the API.
        
        ## Installation
        
        The Python Client Library is available on [PyPi](https://pypi.python.org/pypi/profitbricks). You can install the latest stable version using pip:
        
            pip install profitbricks
        
        Done!
        
        ## Authenticating
        
        Connecting to ProfitBricks is handled by first setting up your authentication.
        
            from profitbricks.client import ProfitBricksService
        
            client = ProfitBricksService(
                username='username', password='password')
        
        You can now use `client` for any future request.
        
        ## Using the Module
        
        Here are a few examples on how to use the module. In this first one we pull a list of our datacenters.
        
            from profitbricks.client import ProfitBricksService
        
            client = ProfitBricksService(
                username='username', password='password')
        
            datacenters = client.list_datacenters()
        
        And in this one we reserve an IPBlock:
        
            from profitbricks.client import ProfitBricksService, IPBlock
        
            client = ProfitBricksService(
                username='username', password='password')
        
            i = IPBlock(location='de/fra', size=5)
        
            ipblock = client.reserve_ipblock(i)
        
        Some object creation supports simple and complex requests, such as a server which can be created simply by doing this:
        
            from profitbricks.client import ProfitBricksService
            from profitbricks.client import Server, NIC, Volume
        
            datacenter_id = '700e1cab-99b2-4c30-ba8c-1d273ddba022'
        
            client = ProfitBricksService(
                username='username', password='password')
        
            i = Server(
                name='server1',
                ram=4096,
                cores=4
                )
        
            response = client.create_server(
                datacenter_id=datacenter_id,
                server=i)
        
        Or if you want one with some volumes and NICs you would do:
        
            from profitbricks.client import ProfitBricksService
            from profitbricks.client import Server, NIC, Volume
        
            server_id = '700e1cab-99b2-4c30-ba8c-1d273ddba023'
            datacenter_id = '700e1cab-99b2-4c30-ba8c-1d273ddba022'
        
            client = ProfitBricksService(
                username='username', password='password')
        
            nic1 = NIC(
                name='nic1',
                ips=['10.2.2.3'],
                dhcp='true',
                lan=1,
                firewall_active=True,
                nat=False
                )
        
            nic2 = NIC(
                name='nic2',
                ips=['10.2.3.4'],
                dhcp='true',
                lan=1,
                firewall_active=True,
                )
        
            volume1 = Volume(
                name='volume1',
                size=56,
                image='<IMAGE/SNAPSHOT-ID>',
                bus='VIRTIO'
                ssh_keys=['ssh-rsa AAAAB3NzaC1yc2EAAAADAQ...'],
                image_password='s3cr3tpass0rd',
                availability_zone='ZONE_3'
                )
        
            volume2 = Volume(
                name='volume2',
                size=56,
                image='<IMAGE/SNAPSHOT-ID>',
                type='SSD',
                bus='VIRTIO',
                license_type='OTHER'
                )
        
            nics = [nic1, nic2]
            create_volumes = [volume1, volume2]
        
            i = Server(
                name='server1',
                ram=4096,
                cores=4,
                cpu_family='INTEL_XEON',
                nics=nics,
                create_volumes=create_volumes
                )
        
            response = client.create_server(
                datacenter_id=datacenter_id, server=i)
        
        **Notes on volumes**:
        
        * You will need to provide either the `image` or the `licence_type` parameter. The `licence_type` is required, but ProfitBricks images will already have a `licence_type` set.
        * A list of public SSH keys and/or the image root password can added to the volume. Only official ProfitBricks base images support the `ssh_keys` and `image_password` parameters.
        
        ## Additional Documentation and Support
        
        You can find additional examples in the repo `examples` directory. If you find any issues, please let us know via the DevOps Central community or GitHub's issue system and we'll check it out.
        
        
        ## How to: Create a Datacenter
        
        ProfitBricks introduces the concept of Virtual Datacenters. These are logically separated from one and the other and allow you to have a self-contained environment for all servers, volumes, networking, snapshots, and so forth. The goal is to give you the same experience as you would have if you were running your own physical datacenter.
        
        You will need a datacenter before you can create anything else. Like the server functions, the datacenter functions can be used to create a simple vDC or a complex one.
        
        To create a simple one you would do this:
        
            from profitbricks.client import ProfitBricksService
            from profitbricks.client import Datacenter, Volume, Server
        
            client = ProfitBricksService(
                username='username', password='password')
        
            i = Datacenter(
                username='username',
                password='password',
                name='datacenter1',
                description='My New Datacenter',
                location='de/fkb'
                )
        
            response = client.create_datacenter(datacenter=i)
        
        To create a complex datacenter you would do this. As you can see, you can create quite a few of the objects you will need later all in one request. These all get serialized in a request queue which you can check using the Requests functions:
        
            from profitbricks.client import ProfitBricksService
            from profitbricks.client import Datacenter, Volume, Server
            from profitbricks.client import LAN, NIC, LoadBalancer, FirewallRule
        
            client = ProfitBricksService(
                username='username', password='password')
        
            fwrule1 = FirewallRule(
                name='Open SSH port',
                protocol='TCP',
                source_mac='01:23:45:67:89:00',
                port_range_start=22
                )
        
            fwrule2 = FirewallRule(
                name='Allow PING',
                protocol='ICMP',
                icmp_type=8,
                icmp_code=0
                )
        
            fw_rules = [fwrule1, fwrule2]
        
            nic1 = NIC(
                name='nic1',
                ips=['10.2.2.3'],
                dhcp='true',
                lan=1,
                firewall_active=True,
                firewall_rules=fw_rules
                )
        
            nic2 = NIC(
                name='nic2',
                ips=['10.2.3.4'],
                dhcp='true',
                lan=1,
                firewall_active=True,
                firewall_rules=fw_rules
                )
        
            nics = [nic1, nic2]
        
            volume1 = Volume(
                name='volume1',
                size=56,
                image='<IMAGE/SNAPSHOT-ID>',
                bus='VIRTIO'
                )
        
            volume2 = Volume(
                name='volume2',
                size=56,
                image='<IMAGE/SNAPSHOT-ID>',
                bus='VIRTIO'
                )
        
            volumes = [volume2]
        
            server1 = Server(
                name='server1',
                ram=4096,
                cores=4,
                nics=nics,
                create_volumes=[volume1]
                )
        
            servers = [server1]
        
            balancednics = ['<NIC-ID-1>', '<NIC-ID-2>']
        
            loadbalancer1 = LoadBalancer(
                name='My LB',
                balancednics=balancednics)
        
            loadbalancers = [loadbalancer1]
        
            lan1 = LAN(
                name='public Lan 4',
                public=True
                )
        
            lan2 = LAN(
                name='public Lan 4',
                public=True
                )
        
            lans = [lan1, lan2]
        
            d = Datacenter(
                name='datacenter1',
                description='my DC',
                location='de/fkb',
                servers=servers,
                volumes=volumes,
                loadbalancers=loadbalancers,
                lans=lans
                )
        
            response = client.create_datacenter(datacenter=d)
        
        ## How to: Delete a Datacenter
        
        You will want to exercise a bit of caution here. Removing a datacenter will **destroy** all objects contained within that datacenter -- servers, volumes, snapshots, and so on. The objects -- once removed -- will be unrecoverable.
        
            from profitbricks.client import ProfitBricksService
        
            client = ProfitBricksService(
                username='username', password='password')
        
            datacenter_id = '700e1cab-99b2-4c30-ba8c-
            datacenter = client.delete_datacenter(datacenter_id=datacenter_id)
        
        ## How to: Update Cores, Memory, and Disk
        
        ProfitBricks allows users to dynamically update cores, memory, and disk independently of each other. This removes the restriction of needing to upgrade to the next size up to receive an increase in memory. You can now simply increase the instances memory keeping your costs in-line with your resource needs.
        
        The following code illustrates how you can update cores and memory:
        
            from profitbricks.client import ProfitBricksService
        
            datacenter_id = '700e1cab-99b2-4c30-ba8c-1d273ddba022'
            server_id = '700e1cab-99b2-4c30-ba8c-1d273ddba023'
        
            client = ProfitBricksService(
                username='username', password='password')
        
            server = client.update_server(
                datacenter_id=datacenter_id,
                server_id=server_id,
                cores=16,
                ram=2048)
        
         This is how you would update your volume's size:
        
            from profitbricks.client import ProfitBricksService, Volume
        
            datacenter_id = '700e1cab-99b2-4c30-ba8c-1d273ddba022'
            volume_id = '700e1cab-99b2-4c30-ba8c-1d273ddba025'
        
            client = ProfitBricksService(
                username='username', password='password')
        
            volume = client.update_volume(
                datacenter_id=datacenter_id,
                volume_id=volume_id,
                size=100,
                name='Resized storage to 100 GB',
                cpu_hot_unplug=True)
        
        
        ## How to: List Servers, Volumes, and Data Centers
        
        Listing resources is fairly straight forward.
        
        Grabbing the datacenters:
        
            from profitbricks.client import ProfitBricksService
        
            client = ProfitBricksService(
                username='username', password='password')
        
            datacenters = client.list_datacenters()
        
        Your servers:
        
            from profitbricks.client import ProfitBricksService
        
            datacenter_id = '700e1cab-99b2-4c30-ba8c-1d273ddba022'
        
            client = ProfitBricksService(
                username='username', password='password')
        
            servers = client.list_servers(datacenter_id=datacenter_id)
        
        Finally, your volumes:
        
            from profitbricks.client import ProfitBricksService
        
            datacenter_id = '700e1cab-99b2-4c30-ba8c-1d273ddba022'
        
            client = ProfitBricksService(
                username='username', password='password')
        
            volumes = self.volume.list_volumes(
                datacenter_id=datacenter_id)
        
        ## How to: Create Additional Network Interfaces
        
        The ProfitBricks platform supports adding multiple NICs to a server. These NICs can be used to create different, segmented networks on the platform.
        
        The sample below shows you how to add a second NIC to an existing server:
        
            from profitbricks.client import ProfitBricksService, FirewallRule, NIC
        
            datacenter_id = '700e1cab-99b2-4c30-ba8c-1d273ddba022'
            server_id = '700e1cab-99b2-4c30-ba8c-1d273ddba023'
        
            client = ProfitBricksService(
                username='username', password='password')
        
            i = NIC(
                name='nic1',
                ips=['10.2.2.3','10.2.3.4'],
                dhcp='true',
                lan=1,
                firewall_active=True
                )
        
            response = client.create_nic(
                datacenter_id=datacenter_id,
                server_id=server_id,
                nic=i)
        
        ## How to: Check Resource Status
        
        When a new resource (server, volume, NIC, etc.) is created, the return value will include a `requestId` UUID value. This value can be passed to the `get_request()` method to retrieve the request status and any potential error messages produced by the request.
        
            client.get_request('3e2d336f-cdf5-482b-923a-f3026dfc934b', status=True)
        
        The request status can be repeatedly polled until the resource create resource operation completes with a `DONE` or `FAILED` status. An example poller method might look something like this:
        
            def wait_for_completion(conn, response, timeout):
                if not response:
                    return
                timeout = time.time() + timeout
                while timeout > time.time():
                    time.sleep(5)
                    request = conn.get_request(
                        request_id=response['requestId'],
                        status=True)
        
                    if request['metadata']['status'] == 'DONE':
                        return
                    elif request['metadata']['status'] == 'FAILED':
                        raise Exception('Request {0} failed to complete: {1}'.format(
                            response['requestId'], request['metadata']['message']))
        
                raise Exception('Timed out waiting for request {0}.'.format(
                    response['requestId']))
        
        The above method can then be called after creating a new resource.
        
            i = Server(
                name='server1',
                ram=4096,
                cores=4)
        
            response = client.create_server(
                datacenter_id=datacenter_id,
                server=i)
        
            wait_for_completion(client, response, 300)
        
        ## Conclusion
        
        We touched on only a few ways you can interact with the ProfitBricks API using python. Our repo, located [here], has further examples. If you have any other question, ping us in the community.
        
Keywords: profitbricks api client cloud
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Natural Language :: English
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Internet :: WWW/HTTP