0.7.5

• New hiearchical assignment generator added
• New exhaustive_random_repeating assignment generator added
• Samples tab added to drawer

0.7.4

• GraphGPT reintroduced

• GraphGPT output can be pushed directly to Arrows

• Generated data additional UI output data

• Ability to push directly to a Neo4j instance

0.6.0

• UX Changed from tabs to top-down notebooks style
• .JSON config to data and zip conversion process removed into it's own PyPi package
• Applet now uses the above package for data generation

0.5.4

• Generate tab accepts .json data pasted from arrows.app
• Updated instructions

0.5.0

• Ideate tab with GraphtGPT integration added
• New COUNT and KEY property keys added
• New literal values added

0.4.0

• Default key and count generators added ({{KEY}} and {{COUNT}} longer a requirement to generate data for non-notated arrows.app files)
• Literal specifiers so: KEY, COUNT, and ASSIGNMENT can be used in place of {{KEY}}, {{COUNT}}, and the {{ASSIGNMENT}} keys
• Literal generators added so: string, int, float, bool, datetime can be added to values to generate a random value of that type
• Literal numbers added so: 1, 1.0 can be used for literal integer and float values
• Literal ranges added so: 1-2, 1.1-2.3 can be used to specify random int and float generators within that range
• Literal lists added so: [string, another_string], [1,2,3], [1.0, 2.2, 3.4] can be used in property values to automatically use the appropriate string_from_list, int_from_list, and float_from_list generators

0.3.0

Local file store system replaced with in-memory data generation

0.2.0

Configuration for mock data generation now dependent on arrows.app JSON file, instead of an independent mapping system.