v 1.6

v 1.6

• New /gbq command for BigQuery schema exploration
  • /gbq tables [keyword] - list tables in tabular format with name, last updated, and full path
  • /gbq fields [table] - list all fields in a specific table
  • /gbq fields "search" - search for fields containing string across all tables
  • /gbq fields [table] "search" - search for fields within a specific table
  • Defaults to dimensions-ai.data_analytics dataset
  • Auto-displays fields when exactly one table is found
  • Tabular output format for easy copy-paste into SQL queries
• Added BigQuery configuration support in ~/.dimensions/settings file
• Added optional dependency: google-cloud-bigquery>=3.0.0

Version 1.5

• Added DSL grammar for DSL V2.13
• Updated CLI special commands. Now starting with / instead of .

Version 1.4

v 1.4

• Fix CLI history bug
• Added DSL grammar for DSL V2.10

v1.3

• Function extract_affiliations return an extra column with the input string (for unstructured data only) - see also https://docs.dimensions.ai/dsl/functions.html#function-extract-affiliations

v1.2

• Updated DSL grammar for DSL V2.8
• New utility function: utils.explode_nested_repeated_field

v1.1

Improve query_iterative so to included warning messages linked to specific iterations.

v1.0.2

Update grammar so to be compatible with DSL 2.6.0

v0.9.9.1

v0.9.9.1

Minor release

• New feature: verify_ssl option for login() method - see the documentation

v 0.9.9

v 0.9.9

This release primarily improves the hyperlinked tables feature for Jupyter environments.

• Test suite for magic commands
• Improvements to the --nice and --links rendering of dataframes within the %%dsldf magic command
  • When using hyperlinks, drop IDs if title is present
  • Return affiliations as a list with GRID links
  • Generic 'default_transform' method for extra column not in transformations
• New parameters for DslDataset.as_dataframe() method allow calling the 'nice' and 'links' renderers without a magic command

v0.9.8

• Fix bug with df_grant_investigators_affiliations methods
• dim_utils.dimensions_styler: format the text display value of a dataframe by including Dimensions hyperlinks whenever possible.
• dim_utils.converters: JSON converters utils allow to pass a dataframe and get back an altered version of it where complex structures are transformed into list of comma separated values.
• Magic commands: refactoring of line/cell operations
  • Variable name can be passed to save data
  • --links parameter: makes resulting dataframe table interactive
  • --nice parameter: convert struct to strings for easier reading and export
  • dsldocs can be used as a cell command too