Time Series Generator ##Overview The tsgen time series generator

##Configuration file The configuration file is a JSON data structure that enables the definition of data sets. Provided is an example of a configuration file that defines both CSV and HTTP output.

{"Property" : 
	[
		{
			"DBase" : "RABBIT",
			"Name": "phoenixdb_bench_site",
			"Form" : "RABBIT",
			"SeedX": 3369,
			"Samples": 1000000,
			"Duration" : 86400,
			"Start" : "2016-02-25T00:00:00+02:00",
			"Now" : true,
			"Type" : ["LOGIC"],
			"Bias" : [12],
			"Batch" : 1,

			"Host" : "phoenixdb",
			"Port" : 5672,
			"User" : "guest",
			"Pass" : "guest",
			"Mode" : "LOAD",
			"Distribute" : true,
			"Sites" : 50000,
			"Spools" : 8,
			"Post" : false,

			"Queues" : ["Qraw"],
			"Subscribe" : ["PUBLISH"],
			"Enable" : [true],
			"Ack" : [true],

			"Freq" : [1],
			"Amp" : [2],

			"Toggles" : [562],
			"State"	: "LOW",
			"Low" : 0,
			"High" : 3.3
		}
	]
}

The following sections describe the various properties seen in the example configuration file.

###Basic The table lists the basic parameters of the configuration file. Note that their required status is referenced within the GLOBAL scope.

###Output Format ####CSV There are no specific configuration items surrounding the CSV output format yet.

####HTTP The table lists the parameters pertaining to a Form of the HTTP type. Note that their required status is referenced within the HTTP scope, thus if HTTP scope not defined they may be ommitted completely.

####RABBIT The table lists the parameters pertaining to a Form of the RABBIT type. Note that their required status is referenced within the RABBIT scope, thus if RABBIT scope not defined they may be ommitted completely.

###Transform Type ####SIN and COS

####LOGIC

####RANDOM

####Compound The compound signal is not a specific transform Type. It is an implied type. This is achieved when more than one entry in the Type slice is specified. Note that the number of items in the Bias, Freq and Amp properties has to match the number of entries in the Type property slice. The resulting transform is a summation of each of the transforms defined by the aligned entries of the properties identified above.
It is thus possible to sum a variety of frequency signals on top of different biased offsets, each with a different amplitude and transform type to result in a compound signal.

##Deployment This paragraph aims to describe the process involved in deploying the tsgen and using it to generate time series data that is available on whichever output (Format) was opted for.

A procedure for compiling and executing the code:

1. Clone IMQS\tsgen repository to a folder on your system (e.g. c:\local\go\imqs\tsgen).
2. Navigate to the folder to which to clone was made (e.g. cd c:\local\go\imqs\tsgen).
3. Run the env.bat file (Windows) to set up environment variables accordingly (e.g. $ env).

• Alternatively set your GOPATH to the repository root of your system folder (e.g. $ set GOPATH=c:\local\go\imqs\tsgen).

4. Navigate to the src\main folder (e.g. $ cd src\main).
5. Type go build to build the code (e.g. $ go build).
6. The exe will be run from the src\main folder, thus ensure that the configuration file conf.JSON resides in this folder.
7. Type go run main.go to execute code (e.g. $ go run main.go).
8. Alternatively run go install in the repository root on your system (e.g. $ go install).

• If it preferable to use the same configuration file conf.JSON that resides within the current working directory, copy the file to the bin folder (e.g. $ copy conf.JSON c:\local\go\imqs\tsgen\bin\).
• Navigate to the bin folder that was created in the repository root of your system folder during the install (e.g. $ cd c:\local\go\imqs\tsgen\bin).
• Execute the exe, ensure that the configuration file conf.JSON resides within the bin folder (e.g. $ main).