laslabs / python-carepoint Goto Github PK

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This library will allow you to interact with CarePoint using Python.

Most of the methods return SQLAlchemy ResultProxies.

To install this module, you need to:

• Utilize a system able to access all CarePoint network resources (database, SMB)
• This includes things like DNS entries for the NETBIOS names
• Setup UnixODBC - http://help.interfaceware.com/kb/904
• Install UnixODBC development headers - apt-get install unixodbc-dev or yum install unixODBC-devel
• Install dependencies - pip install -r requirements.txt
• Install library - pip install .

• Create an Active Directory user
• Give AD user permissions to CarePoint images and data net shares
• Give AD user read & write permissions on the following databases:
• cph
• grx_master

• API Documentation

from carepoint import Carepoint

cp = Carepoint(
    server='127.0.0.1',
    user='test_db_user',
    passwd='db_pass',
)

res = cp.search(
    cp['Patient'],
    {'lname': 'Smith'},
)
for row in res:
    print row.fname

res = cp.search(
    cp['Patient'],
    {'lname': ['Smith', 'Jones']},
)
for row in res:
    print row.fname

res = cp.search(
    cp['Patient'],
    {'lname': 'Smith'},
    ['mname'],
)
for row in res:
    print row.mname

res = cp.search(
    cp['Patient'],
    {
        'chg_date': {
            '<=': '2015-12-31',
            '>=': '2015-01-01',
        }
    },
)
for row in res:
    print row.fname

cp = Carepoint(**opts)
img_rec = cp.search(cp['FdbImg']).first()
image_file = cp.get_file(img_rec.IMAGE_PATH)
image_data = image_file.read()

• More usage samples
• A decent amount of models are missing
• Create documentation of models
• Add some basic validations
• Create a column type that will retrieve file from SMB path in DB
• Better SMB support (allow ftimes, dir list, caching)
• FDB images only serve from store ID 1’s net share
• Having to pass the model to the Carepoint object is annoying, object