Convert pydruid project into a pypi package

CHANGES.txt

@@ -0,0 +1,8 @@
+v0.01, 9/11/2013 -- Initial Release
+v0.01.1, 9/30/2013 -- Fixing problems with build :(
+v0.01.2, 9/30/2013 -- Fixing problems with build :(
+v0.01.3, 9/30/2013 -- Fixing problems with build :(
+v0.1.4, 9/30/2013 -- Still working on getting around README.md errors
+v0.1.5, 10/2/2013 -- Still working on build problems
+v0.1.6, 10/2/2013 -- Still working on build problems
+v0.1.7, 10/2/2013 -- still working on build problems

MANIFEST

@@ -0,0 +1,12 @@
+# file GENERATED by distutils, do NOT edit
+CHANGES.txt
+README.txt
+setup.py
+pydruid
+pydruid/__init__.py
+pydruid/client.py
+pydruid/utils/__init__.py
+pydruid/utils/aggregators.py
+pydruid/utils/filters.py
+pydruid/utils/postaggregator.py
+pydruid/utils/query_utils.py

MANIFEST.in

@@ -0,0 +1,4 @@
+include *.txt
+include *.md
+recursive-include docs *.txt
+global-include pydruid *.py

README.txt

@@ -0,0 +1,27 @@
+===========
+pyDruid
+===========
+
+pyDruid provides a python interface to the Druid analytic store. Typical usage
+often looks like this::
+
+    #!/usr/bin/env python
+
+    from pydruid.client import *
+
+    # Druid Config
+    endpoint = 'druid/v2/?pretty'
+    demo_bard_url =  'http://localhost:8083'
+    dataSource = 'wikipedia'
+    intervals = ["2013-01-01/p1y"]
+
+    query = pyDruid(demo_bard_url, endpoint)
+
+    counts = query.timeseries(dataSource = dataSource, 
+    	          granularity = "minute", 
+    			  intervals = intervals, 
+    			  aggregations = {"count" : doubleSum("edits")}
+    		      )
+
+    print counts
+    [{'timestamp': '2013-09-30T23:31:00.000Z', 'result': {'count': 0.0}}, {'timestamp': '2013-09-30T23:32:00.000Z', 'result': {'count': 0.0}}, {'timestamp': '2013-09-30T23:33:00.000Z', 'result': {'count': 0.0}}, {'timestamp': '2013-09-30T23:34:00.000Z', 'result': {'count': 0.0}}]

pyDruid.py → pydruid/client.py

@@ -24,10 +24,10 @@
 import dateutil.parser
 from matplotlib import *
 from matplotlib.pyplot import *
-from pyDruidUtils.aggregators import *
-from pyDruidUtils.postaggregator import *
-from pyDruidUtils.filters import *
-from pyDruidUtils.query_utils import *
+from utils.aggregators import *
+from utils.postaggregator import *
+from utils.filters import *
+from utils.query_utils import *
 
 
 class pyDruid:

setup.py

@@ -0,0 +1,19 @@
+from setuptools import setup
+
+setup(
+    name='pyDruid',
+    version='0.1.7',
+    author='Deep Ganguli',
+    author_email='deep@metamarkets.com',
+    packages=['pydruid', 'pydruid.utils'],
+    url='http://pypi.python.org/pypi/pyDruid/',
+    license='LICENSE',
+    description='Druid analytical data-store Python library',
+    long_description=open('README.txt').read(),
+    install_requires=[
+        "pandas >= 0.12",
+        "simplejson >= 3.3.0",
+        "matplotlib >= 1.3.0",
+        "numpy >= 1.7.1"
+    ],
+)