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https://github.com/ixpantia/gitear

R wrapper to the gitea API
https://github.com/ixpantia/gitear

gitea hacktoberfest r rstats

Last synced: 11 months ago
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R wrapper to the gitea API

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README

          

---
output: github_document
---

```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
library(gitear)
library(dplyr)
library(dplyr)
library(jsonlite)
library(mockery)
```

# gitear

[![CRAN status](https://www.r-pkg.org/badges/version/gitear)](https://cran.r-project.org/package=gitear)
[![Travis build status](https://travis-ci.org/ixpantia/gitear.svg?branch=master)](https://travis-ci.org/ixpantia/gitear)
[![Codecov test coverage](https://codecov.io/gh/ixpantia/gitear/branch/master/graph/badge.svg)](https://codecov.io/gh/ixpantia/gitear?branch=master)

The goal of gitear is to request your self-hosted Git service data and import
it to R in a tidy data frame.

`gitear` is a package that communicates with the
[gitea](https://gitea.io/en-us/) API.

## Installation

You can install the development version from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("ixpantia/gitear")
```
## Usage

First go to your gitea self hosted service and grab your API Token. Then you
should be able to the following:

```{r, echo = FALSE}

r <- readRDS(system.file("helper_data/response_example.RDS",
package = "gitear"))

content_issues <- jsonlite::fromJSON(system.file("helper_data/get_issues.json",
package = "gitear"))

mockery::stub(where = get_issues,
what = "GET",
how = r)

mockery::stub(where = get_issues,
what = "fromJSON",
how = content_issues)
```

```{r example}
# Credentials

api_token <- "gfdsgfd8ba18a866bsdfgsdfgs3a2dc9303453b0c92dcfb19"
url_ixpantia <- "https://prueba.com"

# Example function use

issues <- get_issues(base_url = url_ixpantia,
api_key = api_token,
owner = "empresa",
repo = "repo_prueba")

issues
```

## **Environmental variables:**

In order to work with environmental variables to make your scripts safer from
somebody getting your credentials, you can follow the next workflow:

1. Create an .Renviron file with your credentials
2. Restart your R session
3. Store your credentials in an object for using it in your script

Your script could look something like this:

```{r example_2}
# Storing credentials in an object

example_key <- Sys.getenv("example_key")
example_url <- Sys.getenv("example_url")

# Using a function from gitear

issues <- get_issues(base_url = example_url,
api_key = example_key,
owner = "empresa",
repo = "repo_prueba")

# Check the output

glimpse(issues)
```