Add macos/ios app using rust lib
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@@ -1,7 +1,8 @@
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use std::collections::HashMap;
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use std::{collections::HashMap, io::Read, path::Path};
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use itertools::Itertools;
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use nalgebra::{DMatrix, Dynamic, LU};
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use serde::Deserialize;
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#[derive(Debug, PartialEq, Eq)]
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pub enum DepartmentType {
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@@ -9,6 +10,36 @@ pub enum DepartmentType {
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Overhead,
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}
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#[derive(Deserialize)]
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pub struct CsvAllocationStatistic {
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#[serde(rename = "Name")]
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name: String,
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#[serde(rename = "Description")]
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description: Option<String>,
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#[serde(rename = "AccountType")]
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account_type: String,
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#[serde(rename = "AccountRanges")]
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account_ranges: String,
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}
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#[derive(Deserialize)]
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pub struct CsvAccount {
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#[serde(rename = "Code")]
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code: String,
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#[serde(rename = "Description")]
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description: Option<String>,
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#[serde(rename = "Type")]
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account_type: String,
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#[serde(rename = "CostOutput")]
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cost_output: Option<String>,
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#[serde(rename = "PercentFixed")]
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percent_fixed: f64,
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}
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type CsvCostCentre = HashMap<String, String>;
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type CsvArea = HashMap<String, String>;
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// Note: remember these are overhead departments only when calculating the lu decomposition or pseudoinverse, and for each department,
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// you either need -1 or rest negative for a row to subtract the initial amounts so we end up effectively 0 (simultaneous equations end
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// up with negative there so yes this is expected)
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@@ -65,10 +96,32 @@ fn get_rules_indexes(
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.collect()
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}
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pub fn reciprocal_allocation<Lines, Account, AllocationStatistic, Area, CostCentre, Output>(
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lines: csv::Reader<Lines>,
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accounts: csv::Reader<Account>,
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allocation_statistics: csv::Reader<AllocationStatistic>,
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areas: csv::Reader<Area>,
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cost_centres: csv::Reader<CostCentre>,
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output: csv::Writer<Output>,
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) where
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Lines: Read,
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Account: Read,
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AllocationStatistic: Read,
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Area: Read,
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CostCentre: Read,
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Output: std::io::Write,
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{
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// Build out the the list of allocation rules from areas/allocation statistics (similar to ppm building 'cost drivers')
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// do reciprocal allocation (only for variable portion of accounts), for each account
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// Copy across fixed stuff (if necessary, not sure it is)
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}
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// Perform the reciprocal allocation (matrix) method to allocate servicing departments (indirect) costs
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// to functional departments. Basically just a matrix solve, uses regression (moore-penrose pseudoinverse) when
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// matrix is singular
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pub fn reciprocal_allocation(
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fn reciprocal_allocation_impl(
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allocations: Vec<OverheadAllocationRule>,
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account_costs: Vec<AccountCost>,
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// TODO: Throw an appropriate error
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