The Data Space

Input data shared by every by-policy projection.

The five input CSVs are read here, once per model, and referenced from Projection as data. Projection is parameterized by point_id, so each Projection[N] is a separate ItemSpace with its own cells cache; if the readers lived there, every model point would re-read every file. Holding them in an unparameterized Space reads each file once no matter how many policies are projected.

Inputs are external files: plain CSVs in the model folder’s parent directory, products/term_life/, rather than data stored inside the model. The model folder therefore holds nothing but formulas — no _data/, no IOSpec, no embedded values — so a diff of the model shows logic changes only. This follows annuallife.TradLife_A; contrast basiclife.BasicTerm_S, which keeps its inputs inside the model through modelx’s IOSpec machinery.

The consequence worth knowing: the model is not portable on its own. Copying the Term_US_A folder without its parent’s CSVs produces a model that reads and then fails on first evaluation.

input_dir() resolves the directory from _model.path.parent at run time, so the model works wherever the repository is checked out. Each table has a filename Reference and a reader Cells:

Reference	Cells	File
model_point_file	model_point_table()	model_point_table.csv
premium_rates_file	premium_rates()	premium_rates.csv
mort_table_file	mort_table()	mort_table.csv
class_factor_file	class_factor_table()	class_factor_table.csv
shock_lapse_file	shock_lapse_table()	shock_lapse_table.csv

To swap in a licensed mortality basis, replace mort_table.csv with a same-schema file, or point mort_table_file at a different name, then clear the cache. No formula changes.

Cells Descriptions

input_dir()

The directory holding the input CSVs: the model folder’s parent.

Inputs are external files, not data stored inside the model, so the model folder is pure formulas. The path is resolved at run time from where the model was read, following annuallife.TradLife_A.

model_point_table()

The model point table, read from model_point_table.csv.

premium_rates()

The guaranteed premium schedule, read from premium_rates.csv.

mort_table()

The base mortality table by age, read from mort_table.csv.

class_factor_table()

The underwriting-class factors, read from class_factor_table.csv.

shock_lapse_table()

The shock-lapse buckets by jump ratio, read from shock_lapse_table.csv.