BigDataPE

Note: To access the BigDataPE APIs, you must be connected to the “PE Integrado” network or use a VPN.

BigDataPE is an R package that provides a secure and intuitive way to access datasets from the BigDataPE platform. The package allows users to fetch data from the API using token-based authentication, manage multiple tokens for different datasets, and retrieve data efficiently using chunking.

Installation

You can install the BigDataPE package directly from GitHub:

# Install the devtools package if you haven't already
install.packages("devtools")

# Install BigDataPE from GitHub
devtools::install_github("StrategicProjects/bigdatape")

After installation, load the package:

library(BigDataPE)

Features

• Securely store and manage API tokens with the keyring package.
• Fetch data from the BigDataPE API using a simple interface.
• Retrieve large datasets iteratively using chunking.
• Easily manage multiple datasets and their associated tokens.

Functions Overview

1. Store Token: bdpe_store_token

This function securely stores an authentication token for a specific dataset.

bdpe_store_token(base_name, token)

Parameters:

• base_name: The name of the dataset.
• token: The authentication token for the dataset.

Example:

bdpe_store_token("education_dataset", "your-token-here")

2. Retrieve Token: bdpe_get_token

This function retrieves the securely stored token for a specific dataset.

bdpe_get_token(base_name)

Parameters:

• base_name: The name of the dataset.

Example:

token <- bdpe_get_token("education_dataset")

3. Remove Token: bdpe_remove_token

This function removes the token associated with a specific dataset.

bdpe_remove_token(base_name)

Parameters:

• base_name: The name of the dataset.

Example:

bdpe_remove_token("education_dataset")

4. List Tokens: bdpe_list_tokens

This function lists all datasets with stored tokens.

bdpe_list_tokens()

Example:

datasets <- bdpe_list_tokens()
print(datasets)

5. Fetch Data: bdpe_fetch_data

This function retrieves data from the BigDataPE API using securely stored tokens.

bdpe_fetch_data(
  base_name, 
  limit = 100, 
  offset = 0, 
  query = list(), 
  endpoint = "https://www.bigdata.pe.gov.br/api/buscar")

Parameters:

• base_name: The name of the dataset.
• limit: Number of records per page. Default is Inf
• offset: Starting record for the query. Default is 0.
• query: Additional query parameters.
• endpoint: The API endpoint URL.

Example:

data <- bdpe_fetch_data("education_dataset", limit = 50)

6. Fetch Data in Chunks: bdpe_fetch_chunks

This function retrieves data from the API iteratively in chunks.

bdpe_fetch_chunks(
  base_name, 
  total_limit = Inf, 
  chunk_size = 100, 
  query = list(), 
  endpoint = "https://www.bigdata.pe.gov.br/api/buscar")

Parameters:

• base_name: The name of the dataset.
• total_limit: Maximum number of records to fetch. Default is Inf (fetch all available data).
• chunk_size: Number of records per chunk. Default is 50.000
• query: Additional query parameters.
• endpoint: The API endpoint URL.

Example:

# Fetch up to 500 records in chunks of 100
data <- bdpe_fetch_chunks(
          "education_dataset", 
          total_limit = 500, 
          chunk_size = 100)

# Fetch all available data in chunks of 200
all_data <- bdpe_fetch_chunks(
              "education_dataset", 
              chunk_size = 200)

7. Construct URL with Query Parameters: parse_queries

This internal function constructs a URL with query parameters.

parse_queries(url, query_list)

Parameters:

• url: The base URL.
• query_list: A list of query parameters.

Example:

url <- parse_queries(
            "https://www.example.com", 
            list(param1 = "value1", param2 = "value2")
            )
print(url)

Example Workflow

Here’s a complete example workflow:

# Store a token for a dataset
bdpe_store_token("education_dataset", "your-token-here")

# Fetch 100 records starting from the first record
data <- bdpe_fetch_data("education_dataset", limit = 100, offset = 0)

# Fetch data in chunks
all_data <- bdpe_fetch_chunks(
  "education_dataset", 
  total_limit = 500, 
  chunk_size = 100)

# List all datasets with stored tokens
datasets <- bdpe_list_tokens()

# Remove a token
bdpe_remove_token("education_dataset")

Contributing

If you find any issues or have feature requests, feel free to create an issue or a pull request on GitHub.

License

This package is licensed under the MIT License. See the LICENSE file for more details.