========================================
Using Python with LiveView REST API
========================================

This sample demonstrates the LiveView REST API using simple Python
scripts.  The sample Python code is designed to be run from a console
terminal, while the Hello LiveView sample is assumed to be running on
the default port. The samples support both Python 2 and 3.

These Python samples illustrate different features of the LiveView REST API:

lvlisttables.py 
   Lists all tables, or optionally all information about a given table, in the LDM

lvsnapquery.py
   Performs snapshot queries

lvlivequery.py
   Performs live queries

lvpublish.py
   Takes input from the console and publishes it to a table

lvlistalerts.py 
   Lists all alerts, or optionally all information about a given alert

lvmanagealerts.py 
   Create, modify, or delete alerts

Each sample has help available by suppling the option "--help"

The Python samples all use the Python package "requests". The live query
sample additionally uses "sseclient-py". One way to get these packages is:

pip install --user <package>

Load this sample into Studio as described in the topic,  
"Loading LiveView Samples into Studio Workspace". From StreamBase Studio on Windows, go to the Help menu > Help Contents > TIBCO Live Datamart Documentation > Start Here > Getting Started with LiveView Server.

On Linux, load the following path into your web browser:
  /opt/tibco/sb-cep/n.m/doc/lvindex.html

Then open the Start Here document from the home page link.

Also load the Hello LiveView sample into Studio. This sample provides a simple
instance of LiveView where the primary data table, ItemsSales, is automatically 
filled with a feed simulation. 

To use the Python samples, you must first run the Hello LiveView sample.

Follow these steps:

1. Load and start the Hello LiveView sample as documented.

   Wait for a message in the Console view that begins "All tables have 
   been loaded..."

2. In Studio, select the sample_lv-Python project and right click. Select
   "StreamBase -> Open StreamBase Command Prompt Here". In that console, type:
  
$ python lvlisttables.py

Found 11 tables:

LVTables - Information about Tables including description, capabilities, and table space
ItemsSales - Live view of all items sold over time, quantity in stock and the last sold price
LVSessions - Session information including remote host, recent activity
LVSessionQueries - Session Query information including predicate and performance information
LVNodeInfo - Local node information
LVTableColumns - Table Column information including field names, types and descriptions
LVAlertRulesStatus - Recent alert rules status table
ItemsInventory - Live view of total inventory dollar exposure at current pricing, aggregated by category
LiveViewStatistics - LiveView table statistics
LVSessionPublishers - Session Publisher information including table and performance information
LVAlerts - Default LiveView Alerts table that Alert Rule Publish Actions populate

   Next try:

$ python lvsnapquery.py -t ItemsSales

begin_snapshot: category, quantityRemaining, Item, lastSoldPrice, transactionTime, transactionID
Add: [u'electronics', 420, u'Earphones', 14.0, 1502820473231L, 8734]
Add: [u'electronics', 66, u'Cellphone', 90.0, 1502820474231L, 8735]
.
.
.
Add: [u'clothes', 16, u'Leather Jacket', 30.0, 1502820719298L, 8980]
Add: [u'clothes', 15, u'Dress Shoe', 31.0, 1502820720299L, 8981]
end_snapshot
Found 248 rows

   You can also supply a LiveQL query:

$ python lvsnapquery.py -t ItemsSales -q "select count() as Total,category from ItemsSales group by category"

begin_snapshot: category, Total
Add: [u'electronics', 56]
Add: [u'book', 53]
Add: [u'automotive', 49]
Add: [u'clothes', 80]
Add: [u'toy', 60]
end_snapshot
Found 5 rows


   Try with lvlivequery.py

$ python lvlivequery.py  -t ItemsSales
begin_snapshot: category, quantityRemaining, Item, lastSoldPrice, transactionTime, transactionID
add: [u'electronics', 0, u'Music Player', 45.0, 1502821373475L, 9634]
add: [u'automotive', 131, u'Fuzzy Dice', 20.0, 1502821374475L, 9635]
.
.
.
add: [u'clothes', 12, u'Prom Dress', 51.0, 1502821654567L, 9915]
add: [u'book', 100, u'Oliver Twist', 9.0, 1502821655568L, 9916]
{u'type': u'end_snapshot'}
add: [u'electronics', 180, u'Charger', 12.0, 1502821656568L, 9917]
add: [u'electronics', 400, u'Earphones', 16.0, 1502821657568L, 9918]
.
.
.

You can list the alerts in the server:

$ python lvlistalerts.py
Found 3 alerts:

name: "Trim ItemsSales table" enabled: True status: OK id: dc64bfff-649b-57d7-f0c3-0f71a83c46ed
name: "Out of Item" enabled: True status: OK id: 317ad012-6b8a-5a24-f0c3-0f71a83c46ee
name: "Low inventory on Item" enabled: True status: OK id: 13fc1fe7-de71-53a3-f0c3-0f71a83c46ef

You can list an alert as a json string:

$ python lvlistalerts.py -i 13fc1fe7-de71-53a3-f0c3-0f71a83c46ef

{"status":"OK","description":null,"message":"Low inventory on item $Item, category $category","name":"Low inventory on Item","severity":3,"quiescence":null,"enabled":true,"owner":"sbuser","created":1392056557715,"lastUpdate":1392056506402,"id":"13fc1fe7-de71-53a3-f0c3-0f71a83c46ef","valid":true,"actions":[{"type":"publish_alert","type":"publish_alert","description":null,"enabled":true,"fieldSubs":{},"message":null,"key":null,"recipient":"*"}],"trigger":{"query":"select * from ItemsSales where quantityRemaining < 30 limit 10000","table":"ItemsSales"}}

You can then copy/edit/paste that string to create a new alert. For example starting
with the above, create an alert for when "quantityRemaining < 10" and have the
message "Very low inventory on item $Item":

$ python lvmanagealerts.py -c '{"status":"OK","description":null,"message":"Very low inventory on item $Item, category $category","name":"Very low inventory on Item","severity":3,"enabled":true,"owner":"sbuser","valid":true,"actions":[{"type":"publish_alert","type":"publish_alert","description":null,"enabled":true,"fieldSubs":{},"message":null,"key":null,"recipient":"*"}],"trigger":{"query":"select * from ItemsSales where quantityRemaining < 10 limit 10000","table":"ItemsSales"}}'

Now list the alerts and see the newly added one:

[campbell@qa7 lv-sample-rest-python]$ python lvlistalerts.py
Found 4 alerts:

name: "Trim ItemsSales table" enabled: True status: OK id: dc64bfff-649b-57d7-f0c3-0f71a83c46ed
name: "Out of Item" enabled: True status: OK id: 317ad012-6b8a-5a24-f0c3-0f71a83c46ee
name: "Low inventory on Item" enabled: True status: OK id: 13fc1fe7-de71-53a3-f0c3-0f71a83c46ef
name: "Very low inventory on Item" enabled: True status: OK id: 24546a5e-fa49-5fbb-f0c3-0f71a83c46e4


Version History:
---------------
v1.2 - Fix serveral scripts
v1.1 - add LDM REST 1.1 examples
v1.0 - initial release of LDM REST API examples