Add example data and test, fix ungrouping, extend docs

README.md

@@ -1,5 +1,9 @@
 # Paychex payroll importer for Beancount
 
+The aim of this tool is to automate the monthly task of transcribing payroll CSV
+information for Conservancy's 8 (currently) employees into ~ 300 lines of fairly
+intricate Beancount bookkeeping data.
+
 ## Usage
 
 Run with:
@@ -16,6 +20,10 @@ Or use a reduced set of options (missing values will be replaced by "TODO" in th
 The project is set up for development in Emacs and CIDER-mode. Open a source
 file and run `cider-jack-in`.
 
+Run tests with:
+
+    clojure -M:test
+
 You can run without building using:
 
     clojure -M -m core --csv 2023-12-27_Pay-Item-Details_2023-12-2.csv --date 2023-12-29 --period "December 2023" --total-fees 206.50

deps.edn

@@ -1,9 +1,12 @@
-{:deps {
+{:paths ["src" "resources"]
+ :deps {
         org.clojure/clojure {:mvn/version "1.11.1"}
         org.clojure/data.csv {:mvn/version "1.0.1"}
         org.clojure/tools.cli {:mvn/version "1.1.230"}}
  :aliases
  {:dev {:extra-deps {lambdaisland/deep-diff2 {:mvn/version "2.10.211"}}}
+  :test {:extra-deps {lambdaisland/kaocha {:mvn/version "1.87.1366"}}
+         :main-opts ["-m" "kaocha.runner"]}
     ;; Run with clj -T:build function-in-build
   :build {:deps {io.github.clojure/tools.build {:mvn/version "0.9.6"}}
           :ns-default build}}}

resources/example-paychex-pay-item-details.csv

@@ -0,0 +1,28 @@
+Example Co Inc,"Citizen, Jack A",1,403b EE Pretax,Retirement,,,,,,1000,,,,,
+Example Co Inc,"Citizen, Jack A",1,Exp Reimb Non Tax,Reimbursement,,,,,50,,,,,,
+Example Co Inc,"Citizen, Jack A",1,Fed Income Tax,Withholding,,,,,,,,470.22,,,
+Example Co Inc,"Citizen, Jack A",1,Fed Unemploy,Liability,,,,,,,,,0,,
+Example Co Inc,"Citizen, Jack A",1,Medicare,Withholding,,,,,,,,88,,,
+Example Co Inc,"Citizen, Jack A",1,Medicare,Liability,,,,,,,,,88,,
+Example Co Inc,"Citizen, Jack A",1,Net Pay,Net Pay,,,,,,,,,,,4184.49
+Example Co Inc,"Citizen, Jack A",1,Salary,Earnings,6068.99,,0,,,,,,,,
+Example Co Inc,"Citizen, Jack A",1,Social Security,Withholding,,,,,,,,376.28,,,
+Example Co Inc,"Citizen, Jack A",1,Social Security,Liability,,,,,,,,,376.28,,
+Example Co Inc,"Citizen, Jack A",1,TN Unemploy,Liability,,,,,,,,,0,,
+Example Co Inc,"Citizen, Jill B",2,403b EE Pretax,Retirement,,,,,,820,,,,,
+Example Co Inc,"Citizen, Jill B",2,Exp Reimb Non Tax,Reimbursement,,,,,50,,,,,,
+Example Co Inc,"Citizen, Jill B",2,Fed Income Tax,Withholding,,,,,,,,681.01,,,
+Example Co Inc,"Citizen, Jill B",2,Fed Unemploy,Liability,,,,,,,,,0,,
+Example Co Inc,"Citizen, Jill B",2,Medicare,Liability,,,,,,,,,99.28,,
+Example Co Inc,"Citizen, Jill B",2,Medicare,Withholding,,,,,,,,99.29,,,
+Example Co Inc,"Citizen, Jill B",2,Net Pay,Net Pay,,,,,,,,,,,4397.39
+Example Co Inc,"Citizen, Jill B",2,OR Disability PFL,Withholding,,,,,,,,41.08,,,
+Example Co Inc,"Citizen, Jill B",2,OR Disability PFL,Liability,,,,,,,,,0,,
+Example Co Inc,"Citizen, Jill B",2,OR EE Work Bene,Withholding,,,,,,,,0,,,
+Example Co Inc,"Citizen, Jill B",2,OR ER Work Bene,Liability,,,,,,,,,0,,
+Example Co Inc,"Citizen, Jill B",2,OR Income Tax,Withholding,,,,,,,,427.8,,,
+Example Co Inc,"Citizen, Jill B",2,OR TRANS STT,Withholding,,,,,,,,6.03,,,
+Example Co Inc,"Citizen, Jill B",2,OR Unemploy,Liability,,,,,,,,,0,,
+Example Co Inc,"Citizen, Jill B",2,Salary,Earnings,6847.12,,0,,,,,,,,
+Example Co Inc,"Citizen, Jill B",2,Social Security,Liability,,,,,,,,,424.52,,
+Example Co Inc,"Citizen, Jill B",2,Social Security,Withholding,,,,,,,,424.52,,,

src/import.clj

@@ -99,6 +99,26 @@
                          (str/join (for [[k v] meta]
                                      (format "     %s: \"%s\"\n" (name k) v)))))))))
 
+;; Each of the below functions returns one of the five sections of the required
+;; bookkeeping data:
+;;
+;; * net pay (single transaction)
+;; * individual taxes (one transaction for each employee)
+;; * employer taxes (single transaction)
+;; * fees (single transaction)
+;; * retirement (single trasaction)
+;;
+;; These functions take the input CSV data, pre-formatted and grouped by
+;; employee.
+;;
+;; The output is an intermediate data structure that can then be run through
+;; `render-transaction` to produce Beancount transaction text. The data
+;; structures can also be programatically compared to a parsed version of the
+;; hand-written Beancount transactions for development and testing (see
+;; parse.clj).
+;;
+;; (All functions return a sequence of transactions so we can concatenate them.)
+
 (defn payroll
   "Return a net pay transaction."
   [date period receipt-no groups]
@@ -201,10 +221,10 @@
 (defn employer-taxes
   "Return an employer taxes transaction."
   [date period receipt-no groups]
-  (let [ungrouped (concat (vals groups))  ; Grouping by employee not useful here
+  (let [ungrouped (apply concat (vals groups))  ; Grouping by employee not useful here
         liability-lines (filter #(and (= (:type %) "Liability")
                                       (not (str/includes? (:category %) "Unemploy"))) ungrouped)
-        liability-postings (for [{:keys [category amount]} liability-lines]
+        liability-postings (for [{:keys [name category amount]} liability-lines]
                              {:account "Expenses:Payroll:Tax"
                               :amount amount
                               :currency "USD"

test/import_test.clj

@@ -0,0 +1,19 @@
+(ns import-test
+  (:require [import :as sut]
+            [clojure.java.io]
+            [clojure.test :as t]))
+
+(t/deftest sample-import
+  (let [grouped-data (import/read-grouped-csv
+                      (clojure.java.io/resource
+                       "example-paychex-pay-item-details.csv"))
+        imported (concat (import/payroll "2023-12-29" "December 2023" "rt:19462/674660" grouped-data)
+                         (import/individual-taxes "2023-12-29" "December 2023" "rt:19462/674660" "rt:19403/675431" grouped-data)
+                         (import/employer-taxes "2023-12-29" "December 2023" "rt:19462/674660" grouped-data)
+                         (import/payroll-fees "2023-12-29" "December 2023" "rt:19459/675387" "rt:19459/674887" 206.50M grouped-data)
+                         (import/retirement "2024-01-02" "December 2023" "rt:19403/676724" "rt:19403/675431" grouped-data))]
+    (t/is (= (count imported) 6))))
+
+(comment
+  (t/run-all-tests)
+)