Metadata-Version: 2.1
Name: apptuit
Version: 0.2.2
Summary: Apptuit Python Client
Home-page: https://github.com/ApptuitAI/apptuit-py
Author: Abhinav Upadhyay
Author-email: abhinav.updadhyay@agiltix.ai
License: UNKNOWN
Description: # Python client for Apptuit.AI
        
        [![Build Status](https://www.travis-ci.org/ApptuitAI/apptuit-py.svg?branch=master)](https://www.travis-ci.org/ApptuitAI/apptuit-py)
        
        ### Installation
        
        ```
        pip install apptuit
        ```
        
        ### Usage
        
        #### Querying for data
        
        ```python
        In [1]: from apptuit import Apptuit
        
        In [2]: import time
        
        In [3]: token = 'my_token'
        
        In [4]: apptuit = Apptuit(token=token)
        
        In [5]: start_time = int(time.time()) - 3600
        
        In [6]: query_res = apptuit.query("fetch('proc.cpu.percent').downsample('1m', 'avg')", start=start_time)
        
        In [7]: df = query_res[0].to_df()
        
        In [8]: type(df)
        Out[8]: pandas.core.frame.DataFrame
        
        In [9]: df.shape
        Out[9]: (116, 89)
        
        # Another way of creating the DF is accessing by the metric name in the query
        In [7]: another_df = query_res['proc.cpu.percent'].to_df()
        ```
        
        #### Sending data
        
        ```python
        In [1]: from apptuit import Apptuit, DataPoint
        
        In [2]: import time
        
        In [3]: import random
        
        In [4]: token = "mytoken"
        
        In [5]: client = Apptuit(token=token)
        
        In [6]: metric = "proc.cpu.percent"
        
        In [7]: tags = {"host": "localhost", "ip": "127.0.0.1"}
        
        In [8]: curtime = int(time.time())
        
        In [9]: dps = []
        
        In [10]: for i in range(10000):
            ...:     dps.append(DataPoint(metric, tags, curtime + i * 60, random.random()))
            ...:
        
        In [11]: client.send(dps)
        
        In [12]: dps = []
        
        ```
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
