Project Title: FireData: Connecting R to Google Firebase
FireData integrates R Datascience with the abilities and possibilities of the Google Firebase Framework.
Firebase makes it possible to exchange in real-time information in the Cloud and thereby opening the R language to IoT hardware/data processing. Other than that it is also immensely useful for shiny application to integrate Social Authentications and persistent data & uploads.
This package was created within the framework of Google Summer of Code 2017.
Database Setup:
- visit at https://firebase.google.com/
- login and enter the "console"
- add new project
- find the API keys at the "overview" page clicking on add firebase to web-app
R Package Setup:
if (!require("devtools")) install.packages("devtools")
devtools::install_github("Kohze/fireData")
library(fireData)
- uploading a data.frame:
upload(x = mtcars, projectURL = "https://firedata-b0e54.firebaseio.com/", directory = "main")
- download a data.frame:
download(projectURL = "https://firedata-b0e54.firebaseio.com/", fileName = "main/-KxwWNTVdplXFRZwGMkH")
- register a new user
createUser(projectAPI = "AIzaSyAjZLO9-CRV3gObpwdFz-k8AiTOxHSBmdc", email = "your@email.com", password = "12341234" )
- create token for authenticated requests (can be used for the token argument of upload/download)
auth(projectAPI = "AIzaSyAjZLO9-CRV3gObpwdFz-k8AiTOxHSBmdc", email = "robin@kohze.com", password = "12341234")
- reset user password
resetPassword(projectAPI = "AIzaSyAjZLO9-CRV3gObpwdFz-k8AiTOxHSBmdc", email = "useYourOwn@email.com")
- backup the database and save as .json
dataBackup(projectURL = "https://firedata-efa5a.firebaseio.com", secretKey = "2bYA6k72wKna90MqPGa6yuMG7jAysoDJZwJqYXsm", "test.json")
fireData is already integrated into a several projects.
-
SpatialMaps: A spatial proteomics platform that utilizes firebase as cross platform database.
-
Cryptotrade-hq bot: A simple data collector (with shiny) that uses firebase for secure storage of API keys.
We are currently planning to add the new Cloud Firebase database and enhance the integration into R web applications.
Aknowledgements:
I hereby want to thank my GSOC mentors L. Pedraza, S. Schmidt for their project support and especially L. Gatto for his insights and experience to make this package a reality.