Installation:

0-prerequisit:
    anaconda 5.2
    python 3.6

1-clone the project
    git clone https://gitlab.in2p3.fr/CTA-LAPP/cta-archive.git

2-from the root of the project execute the following cmd:
    conda env create -f environment.yml
    conda activate ctaarchiveenv
    python setup.py install

Command:

The following cmd can be executed :
a-Extract Metadata into JSON format
    onedataextractor path_To_Hdf5
    
b-Generate HDF5 file with random headers
    onedatagenerator 500 2 0 pathToTheDirectoryTOGenerateFiles
    500: nbr files per directories
    2²: nbr of directories
    0 latency between files generation between differents directories

c-Collect result in csv file
    edit and run the RestQuery class
    
d-display result
    edit and run in jupyter notebook the class ExtractionVisualisation.ipynb

Running with Docker

    make docker-build
    make docker-test

Tool specification:

Hdf5
    If the input is HDF5 file with the following MetaData :
 
               TelescopeID : String = AFX123
               trigger : number = 112456
               CaptureDate : date = 1335198308 (it is the timeStamp in Z for 2012-04-23T18:25:43 Z)
               EventID: String = UIDASDBN456
 
    The tool will return as output the following text (json object serialized):
 
    {
               "TelescopeID": "AFX123",
               "trigger": 112456,   (no quote)
               "CaptureDate": 2012-04-23T18:25:43Z,
               "EventID":"UIDASDBN456"
    }

Note:
Date is encoded using ISO 8601

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