Code Hierarchy Analyzer

The Code Generator AI understands different date hierarchies in DAX by analyzing the structure of the date/time columns used in the data model. Here are the main points on how it understands the date hierarchies:

1. Date/Time Columns: Code Generator AI looks for columns in the data model that contain date or time information. These columns can have different names, but they should contain valid date or time values.

2. Date/Time Format: Code Generator AI analyzes the format of the date/time values in the columns. It identifies the date format (e.g., YYYY-MM-DD, MM/DD/YYYY) and the time format (e.g., HH:mm:ss, HH:mm).

3. Date/Time Granularity: Code Generator AI determines the granularity of the date/time values. It identifies whether the values represent Year, Quarter, Month, Week, or Day. It also checks if there are any additional hierarchical levels, such as Hour or Minute.

4. Relationship Mapping: Code Generator AI looks for relationships between tables based on the date/time columns. It identifies the primary and foreign keys that connect the tables. This information helps in understanding the relationships within the date hierarchies.

5. Function Generation: Once the date hierarchies are understood, Code Generator AI generates DAX functions that can operate on these hierarchies. It creates functions for filtering, aggregating, and navigating the date hierarchy levels. These functions can be used to calculate measures, create time-intelligence calculations, and perform other date-related calculations in DAX.

Overall, the Code Generator AI takes into account the structure and relationships of the date/time columns in the data model to understand the different date hierarchies in DAX. It then generates DAX functions that can be used to work with these hierarchies effectively.