Changelog

eesyapi 0.4.0

• Optimisation to parsing of JSON responses in query_dataset()
• Rename download_dataset() to preview_dataset() and set default n_max to 10
• Move test data and examples across to the EES test environment data sets
• Minor tweaks and improvements to the documentation

eesyapi 0.3.1

• Added parsing of SQIDs in retrieved data to provide human readable content
• Created function, download_dataset(), to connect to csv endpoint for downloading data set csv file
• Added first draft of example workflow for querying a data set

eesyapi 0.3.0

• Created capacity to query data using POST:
  • query_dataset(): Now defaults to using POST instead of GET
  • post_dataset(): Sends a query of a data set, either using a json file, json string or parameters
• Updated how example_id() works to allow more complex examples

eesyapi 0.2.1

• Created initial query_dataset() function that queries a data set using get_dataset()
• Created get_dataset() function that queries a data set using GET and URL parameters
• Updated get_meta() to work with new API meta output (addition of id alongside col_name and label)
• Removed redundant function: parse_meta_filter_columns()
• Hex logo added for documentation

eesyapi 0.2.0

• Creating publication querying functions:
  • get_publication_catalogue(): Retrieve the list of available publications
  • get_publication_datasets(): Retrieve the list of available data sets in a given publication
  • example_id(): Provide example publication and data set IDs (largely for example code and testing)
  • api_url_pages(): Render string to set paging on API query results
  • eesapi_url() -> api_url(): Name change to function and updated to allow publication and data set URLs
  • warning_max_pages(): Check for the query page number exceeding the total query pages available
  • Added some test data and a process for maintaining that data
  • Added the validate_ family of validation helpers

eesyapi 0.1.0

• Creating meta data retrieval and parsing functions:
  • get_meta(): primary function for retrieving parsed R-friendly meta data
  • get_meta_response(): underlying function for retrieving meta data without full parsing
  • parse_meta_location_ids(): convert location data from initial meta response to simple data frame
  • parse_meta_filter_columns(): create data frame of filter col_name and label from initial meta response
  • parse_meta_filter_item_ids(): convert filter item data from initial meta response to simple data frame
  • parse_meta_indicator_columns(): create data frame of indicator col_name and label from initial meta response
  • http_request_error(): render the API url for a give endpoint / data set combination