mp projection reconstruct

Fix imports in projection_mp.rs after merge

Update mp projection

Author: hnlearndev

src/main.rs

@@ -1,9 +1,9 @@
 mod assumptions;
-mod model_points;
+mod mp_gen;
 mod projections;
 
 use crate::assumptions::assumption_scenario::AssumptionScenario;
-use crate::model_points::generate_model_points;
+use crate::mp_gen::pricing_mp_gen::generate_s_model_points; // Removed because function does not exist
 use crate::projections::projection_multi_runs::RunsSetup;
 use crate::projections::projection_single_run::SingleRunSetup;
 
@@ -14,7 +14,7 @@ use std::time::Instant;
 // PRIVATE
 //---------------------------------------------------------------------------------------------------------
 fn get_run_setups() -> PolarsResult<RunsSetup> {
-    let model_points_df = generate_model_points(10_000, 987654321)?;
+    let model_points_df = generate_s_model_points()?;
 
     let run_setup_01 = SingleRunSetup {
         description: "Run setup 01 - Used for pricing".to_string(),

src/model_points.rs

@@ -0,0 +1,39 @@
+use crate::projections::projection_mp::ModelPoint;
+use ndarray::prelude::*;
+use ndarray_rand::RandomExt;
+use ndarray_rand::rand::SeedableRng;
+use ndarray_rand::rand::rngs::StdRng;
+use ndarray_rand::rand_distr::Uniform;
+use polars::prelude::*;
+
+pub mod asl_se_mp_gen;
+pub mod pricing_mp_gen;
+pub mod s_mp_gen;
+pub mod se_mp_gen;
+
+//---------------------------------------------------------------------------------------------------------
+// PUBLIC
+//---------------------------------------------------------------------------------------------------------
+// pub fn convert_model_points_df_to_vector(df: &DataFrame) -> PolarsResult<Vec<ModelPoint>> {
+//     let id = df.column("id")?.i32()?;
+//     let entry_age = df.column("entry_age")?.i32()?;
+//     let gender = df.column("gender")?.str()?;
+//     let term = df.column("term")?.i32()?;
+//     let policy_count = df.column("policy_count")?.f64()?;
+//     let sum_insured = df.column("sum_insured")?.f64()?;
+//     let model = df.column("model")?.str()?;
+
+//     let model_points = (0..df.height())
+//         .map(|i| ModelPoint {
+//             id: id.get(i).unwrap(),
+//             entry_age: entry_age.get(i).unwrap(),
+//             gender: gender.get(i).unwrap().to_string(),
+//             term: term.get(i).unwrap(),
+//             policy_count: policy_count.get(i).unwrap(),
+//             sum_insured: sum_insured.get(i).unwrap(),
+//             model: model.get(i).unwrap().to_string(),
+//         })
+//         .collect();
+
+//     Ok(model_points)
+// }

src/model_points/asl_se_mp_gen.rs

@@ -0,0 +1 @@
+

src/model_points/se_mp_gen.rs

@@ -0,0 +1 @@
+

src/mp_gen.rs

@@ -1,4 +1,4 @@
 mod helpers;
-mod projection_mp;
+pub mod projection_mp;
 pub mod projection_multi_runs;
-mod projection_single_run;
+pub mod projection_single_run;