v1pysdk-unofficial 0.4.post4

VersionOne API client

# VersionOne Python SDK #

The VersionOne Python SDK is an open-source and community supported client for the VersionOne API.

As an open-sourced and community supported project, the VersionOne Python SDK is not formally supported by VersionOne.

That said, there are a number of options for getting your questions addressed:

* [StackOverflow](http://stackoverflow.com/questions/tagged/versionone): For asking questions of the VersionOne Development Community.
* [GitHub Issues](https://github.com/versionone/VersionOne.SDK.Python/issues): For submitting issues that others may try to address.

In general, StackOverflow is your best option for getting support for the VersionOne Python SDK.

The source code for the VersionOne Python SDK is free and open-source, and we encourage you to improve it by [submitting pull requests](https://help.github.com/articles/using-pull-requests)!

## Overview

### Dynamic reflection of all V1 asset types:

Just instantiate a V1Meta. All asset types defined on the server are available
as attributes on the instance. The metadata is only loaded once, so you must
create a new instance of V1Meta to pick up metadata changes. Each asset class
comes with properties for all asset attributes and operations.

```python
from v1pysdk import V1Meta

with V1Meta(
instance_url = 'http://localhost/VersionOne',
username = 'admin',
password = 'admin'
) as v1:

user = v1.Member(20) # internal numeric ID

print user.CreateDate, user.Name
```

### Simple access to individual assets:

Asset instances are created on demand and cached so that instances with the same OID are always
the same object. You can retrieve an instance by passing an asset ID to an asset class:

s = v1.Story(1005)


Or by providing an OID Token:

s = v1.asset_from_oid('Story:1005')

print s is v1.Story(1005) # True


### Lazyily loaded values and relations:

NOTE: Making requests synchronously for attribute access on each object is costly. We recommend
using the query syntax to select, filter, aggregate, and retrieve values from related assets
in a single HTTP transaction.

Asset instances are created empty, or with query results if available. The server is
accessed for attributes that aren't currently fetched. A basic set of attributes is fetched
upon the first unfound attribute.


epic = v1.Epic(324355)

# No data fetched yet.
print epic #=> Epic(324355)

# Access an attribute.
print epic.Name #=> "Team Features"

# Now some basic data has been fetched
print epic #=> Epic(324355).with_data({'AssetType': 'Epic',
'Description': "Make features easier for new team members", 'AssetState': '64',
'SecurityScope_Name': 'Projects', 'Number': 'E-01958', 'Super_Number': 'E-01902',
'Scope_Name': 'Projects', 'Super_Name': 'New Feature Development',
'Scope': [Scope(314406)], 'SecurityScope': [Scope(314406)],
'Super': [Epic(312659)], 'Order': '-24', 'Name': 'Team Features'})

# And further non-basic data is available, but will cause a request.
print epic.CreateDate #=> '2012-05-14T23:45:14.124'

The relationship network can be traversed at will, and assets will be fetched as needed.

# Freely traverse the relationship graph
print epic.Super.Scope.Name #=> 'Products'

Since the metadata is modeled as data, you can find the list of "Basic" attributes:

basic_attr_names = list( v1.AttributeDefinition
.where(IsBasic = "true")
.select('Name')
.Name
)


### Operations:

Operations on assets can be initiated by calling the appropriate method on an asset instance:

for story in epic.Subs:
story.QuickSignup()

The asset instance data will be invalidated upon success, and thus re-fetched on the next
attribute access.


### Iterating through all assets of a type

The asset class is iterable to obtain all assets of that type. This is equivalent to the
"query", "select" or "where" methods when given no arguments.

# WARNING: Lots of HTTP requests this way.
members = list(v1.Member) # HTTP request to get the list of members.
print "Members: " + ', '.join(m.Name for m in members) # HTTP request per member to fetch the Name

# A much better way, requiring a single HTTP access via the query mechanism.
members = v1.Member.select('Name')
print "Members: " + ', '.join(m.Name for m in members) # HTTP request to return list of members with Name attribute.

# There is also a shortcut for pulling an attribute off all the results
members = v1.Member.select('Name')
print "Members: " + ', '.join(members.Name)


### Queries

#### Query Objects

the `select()` and `where()` methods on asset instances return a query object
upon which you can call more `.where()`'s and `.select()`'s. Iterating through
the query object will run the query.

the `.first()` method on a query object will run the query and return the first result.

Query results

#### Simple query syntax:

Use `.where(Attr="value", ...)` to introduce "Equals" comparisons, and
`.select("Attr", ...)` to append to the select list.

Non-"Equal" comparisons are not supported (Use the advanced query syntax).

for s in v1.Story.where(Name='Add feature X to main product"):
print s.Name, s.CreateDate, ', '.join([owner.Name for owner in s.Owners])

# Select only some attributes to reduce traffic

for s in v1.Story.select('Name', 'Owners').where(Estimate='10'):
print s.Name, [o.Name for o in s.Owners]


#### Advanced query, taking the standard V1 query syntax.

The "filter" operator will take arbitrary V1 filter terms.

for s in (v1.Story
.filter("Estimate>'5',TotalDone.@Count<'10'")
.select('Name')):
print s.Name


#### Advanced selection, taking the standard V1 selection syntax.

The "select" operator will allow arbitrary V1 "select" terms, and will add
them to the "data" mapping of the result with a key identical to the term used.

select_term = "Workitems:PrimaryWorkitem[Status='Done'].Estimate.@Sum"
total_done = ( v1.Timebox
.where(Name="Iteration 25")
.select(select_term)
)
for result in total_done:
print "Total 'Done' story points: ", result.data[select_term]


#### Advanced Filtering and Selection

get a list of all the stories dedicated people are working on

writer = csv.writer(outfile)
results = (
v1.Story
.select('Name', 'CreateDate', 'Estimate', 'Owners.Name')
.filter("Owners.OwnedWorkitems.@Count='1'")
)
for result in results:
writer.writerow((result['Name'], ', '.join(result['Owners.Name'])))


### Simple creation syntax:

GOTCHA: All "required" attributes must be set, or the server will reject the data.

from v1pysdk import V1Meta
v1 = V1Meta(username='admin', password='admin')
new_story = v1.Story.create(
Name = 'New Story',
Scope = v1.Scope.where(Name='2012 Projects').first()
)
# creation happens immediately. No need to commit.
print new_story.CreateDate
new_story.QuickSignup()
print 'Owners: ' + ', '.join(o.Name for o in story.Owners)


### Simple update syntax.

Nothing is written until V1Meta.commit() is called, and then all dirty assets are written out.

story = v1.Story.where(Name='Super Cool Feature do over').first()
story.Name = 'Super Cool Feature Redux'
story.Owners = v1.Member.where(Name='Joe Koberg')
v1.commit() # flushes all pending updates to the server

The V1Meta object also serves as a context manager which will commit dirty object on exit.

with V1Meta() as v1:
story = v1.Story.where(Name='New Features').first()
story.Owners = v1.Member.where(Name='Joe Koberg')

print "Story committed implicitly."


### Attachment Contents

Attachment file bodies can be fetched or set with the special "file_data" attribute on Attachment instances.

See the v1pysdk/tests/test_attachment.py file for a full example.

### As Of / Historical Queries

Queries can return data "as of" a specific point in the past. The .asof() query term can
take a list (or multiple positional parameters) of timestamps or strings in ISO date format.
The query is run for each timestamp in the list. A single iterable is returned that will
iterate all of the collected results. The results will all contain a data item "AsOf" with
the "As of" date of that item. Note that the "As of" date is not the date of the previous
change to the item, but rather is exactly the same date passed into the query. Also note
that timestamps such as "2012-01-01" are taken to be at the midnight starting that day, which
naturally excludes any activity happening during that day. You may want to specify a timestamp
with a specific hour, or of the following day.

TODO: what timezone is used?

with V1Meta() as v1:
results = (v1.Story
.select("Owners")
.where(Name="Fix HTML5 Bug")
.asof("2012-10-10", "2012-10-11")
)
for result in results:
print result.data['AsOf'], [o.Name for o in result.Owners]


### Polling (TODO)

A simple callback api will be available to hook asset changes

from v1meta import V1Meta
from v1poll import V1Poller

MAILBODY = """
From: VersionOne Notification <[e-mail]>
To: John Smith <[e-mail]>

Please take note of the high risk story '{0}' recently created in VersionOne.

Link: {1}


Thanks,

Your VersionOne Software
""".lstrip()

def notify_CTO_of_high_risk_stories(story):
if story.Risk > 10:
import smtplib, time
server = smtplib.SMTP('smtp.mycorp.com')
server.sendmail(MAILBODY.format(story.Name, story.url))
server.quit()
story.CustomNotificationLog = (story.CustomNotificationLog +
"\n Notified CTO on {0}".format(time.asctime()))

with V1Meta() as v1:
with V1Poller(v1) as poller:
poller.run_on_new('Story', notify_CTO_of_high_risk_stories)

print "Notification complete and log updated."



## Performance notes

An HTTP request is made to the server the first time each asset class is referenced.

Assets do not make a request until a data item is needed from them. Further attribute access
is cached if a previous request returned that attribute. Otherwise a new request is made.

The fastest way to collect and use a set of assets is to query, with the attributes
you expect to use included in the select list. The entire result set will be returned
in a single HTTP transaction

Writing to assets does not require reading them; setting attributes and calling the commit
function does not invoke the "read" pipeline. Writing assets requires one HTTP POST per dirty
asset instance.

When an asset is committed or an operation is called, the asset data is invalidated and will
be read again on the next attribute access.

## TODO

* Make things Moment-aware

* Convert types between client and server (right now everything is a string)

* Add debug logging

* Beef up test coverage

* Need to mock up server

* Examples

* provide an actual integration example

* Asset creation templates and creation "in context of" other asset

* Correctly handle multi-valued attributes including removal of values.

## Installation

run `python setup.py install`, or just copy the v1pysdk folder into your PYTHONPATH.


## Revision History


2013-09-27 v0.4 - A correction has been made to the multi-valued relation setter code. It used the
wrong value for the XML "act" attribute, so multi-value attributes never got set correctly. Note
that at this time, there is no way to un-set a value from a multi-valued relation.

2013-07-09 v0.3 - To support HTTPS, A "scheme" argument has been added to the V1Meta and V1Client
constructors.

An instance_url keyword argument was added to V1Meta and V1Client. This argument can be
specified instead of the address, instance_path, scheme, and port arguments.

A performance enhancement was made to calls such as "list(v1.Story.Name)". The requested
attribute is added to the select list if it's not present, thus preventing an HTTP GET
for each matched asset.

Some poor examples were removed and logging cleaned up in places.

Fix some issues with NTLM and urllib2. (thanks campbellr)

Missing attributes now return a None-like object can be deferenced to any depth. (thanks bazsi)


## License ##

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:

* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.

* Neither the name of VersionOne, Inc. nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission of
VersionOne, Inc.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS
BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
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TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF
THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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