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SQL data extraction for Scienti and UdeA Oracle databases

Project description

KayPacha

SQL data extraction for Scienti and Colav parners Oracle databases

Description

Package extract the data from SQL databases from Oracle Databases from Scienti or Colav parners Models are defined here, filters etc..

Installation

Package

pip install kaypacha

Usage

Oracle DB Colav docker database for scienti have to be already loaded, take a look here

Remember you only can use max 2 threads due a Oracle XE version limitation more information here

Saving the model product for scienti on MongoDB

kaypacha_scienti --model_year 2018 --model product --max_threads 2 --checkpoint

Saving all models for scienti on MongoDB

kaypacha_scienti --model_year 2018 --max_threads 2 --checkpoint

Getting a JSon file sample for the model product for scienti (WARNING: getting the full DB in a file require a huge amount of RAM, use it with careful.) kaypacha_scienti --model_year 2018 --model product --json prod.json --max_threads 2 --sample

Entities models supported fo Scienti

  • product (EN_PRODCUTO)
  • netowrk (EN_RED)
  • project (EN_PROYECTO)

TODO

  • implement all the main tables for Scienti.
    • event "EN_EVENT"
    • resgiter "EN_REGISTRO"
    • industrial_secret "EN_SECRETO_INDUSTRIAL"
    • recognition "EN_RECONOCIMIENTO"
    • event "EN_EVENTO"
    • patent "EN_PATENTE"
    • art_product "EN_PROD_ARTISTICA_DETALLE"

License

BSD-3-Clause License

Links

http://colav.udea.edu.co/

Project details


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KayPacha-0.0.1a0-py3-none-any.whl (16.1 kB view hashes)

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