Implemented processing and exporting for BU Internal invoice

process_report/process_report.py

@@ -20,6 +20,7 @@
 COST_FIELD = "Cost"
 CREDIT_FIELD = "Credit"
 CREDIT_CODE_FIELD = "Credit Code"
+SUBSIDY_FIELD = "Subsidy"
 BALANCE_FIELD = "Balance"
 ###
 
@@ -35,7 +36,7 @@ def get_institution_from_pi(institute_map, pi_uname):
 
 
 def load_institute_map() -> dict:
-    with open("institute_map.json", "r") as f:
+    with open("process_report/institute_map.json", "r") as f:
         institute_map = json.load(f)
 
     return institute_map
@@ -105,6 +106,12 @@ def main():
         default="HU_only.csv",
         help="Name of output csv for HU invoices",
     )
+    parser.add_argument(
+        "--BU-invoice-file",
+        required=False,
+        default="BU_Internal.csv",
+        help="Name of output csv for BU invoices",
+    )
     parser.add_argument(
         "--HU-BU-invoice-file",
         required=False,
@@ -144,6 +151,7 @@ def main():
     export_billables(credited_projects, args.output_file)
     export_pi_billables(billable_projects, args.output_folder)
     export_HU_only(billable_projects, args.HU_invoice_file)
+    export_BU_only(billable_projects, args.BU_invoice_file)
     export_HU_BU(billable_projects, args.HU_BU_invoice_file)
     export_lenovo(billable_projects)
 
@@ -302,6 +310,55 @@ def export_HU_only(dataframe, output_file):
     HU_projects.to_csv(output_file)
 
 
+def export_BU_only(dataframe: pandas.DataFrame, output_file):
+    def get_project(row):
+        project_alloc = row[PROJECT_FIELD]
+        if project_alloc.rfind("-") == -1:
+            return project_alloc
+        else:
+            return project_alloc[: project_alloc.rfind("-")]
+
+    BU_projects = dataframe[dataframe[INSTITUTION_FIELD] == "Boston University"]
+    BU_projects["Project"] = BU_projects.apply(get_project, axis=1)
+    BU_projects[SUBSIDY_FIELD] = 0
+    BU_projects = BU_projects[
+        [
+            INVOICE_DATE_FIELD,
+            PI_FIELD,
+            "Project",
+            COST_FIELD,
+            CREDIT_FIELD,
+            SUBSIDY_FIELD,
+            BALANCE_FIELD,
+        ]
+    ]
+    BU_projects = _apply_BU_subsidy(BU_projects)
+    BU_projects.to_csv(output_file)
+
+
+def _apply_BU_subsidy(dataframe):
+    subsidy_amount = 100
+    BU_pi_list = dataframe[PI_FIELD].unique()
+
+    for BU_pi in BU_pi_list:
+        pi_projects = dataframe[dataframe[PI_FIELD] == BU_pi]
+        remaining_subsidy = subsidy_amount
+        for i, row in pi_projects.iterrows():
+            project_remaining_cost = row[
+                BALANCE_FIELD
+            ]  # Applying BU Subsidy after applying credits, so Balance shows rem costs
+            applied_subsidy = min(project_remaining_cost, remaining_subsidy)
+
+            dataframe.at[i, SUBSIDY_FIELD] = applied_subsidy
+            dataframe.at[i, BALANCE_FIELD] = row[BALANCE_FIELD] - applied_subsidy
+            remaining_subsidy -= applied_subsidy
+
+            if remaining_subsidy == 0:
+                break
+
+    return dataframe
+
+
 def export_HU_BU(dataframe, output_file):
     HU_BU_projects = dataframe[
         (dataframe[INSTITUTION_FIELD] == "Harvard University")

process_report/tests/unit_tests.py

@@ -326,6 +326,82 @@ def test_apply_credit_0002(self):
         self.assertEqual(800, credited_projects.loc[5, "Balance"])
 
 
+class TestBUSubsidy(TestCase):
+    def setUp(self):
+        data = {
+            "Invoice Month": [
+                "2024-03",
+                "2024-03",
+                "2024-03",
+                "2024-03",
+                "2024-03",
+                "2024-03",
+            ],
+            "Manager (PI)": ["PI1", "PI2", "PI3", "PI3", "PI4", "PI4"],
+            "Institution": [
+                "Boston University",
+                "Boston University",
+                "Harvard University",
+                "Harvard University",
+                "Boston University",
+                "Boston University",
+            ],
+            "Project - Allocation": [
+                "ProjectA-e6413",
+                "ProjectB-5t143t",
+                "ProjectC-t14334",
+                "ProjectD",
+                "ProjectE-test-r25135",
+                "ProjectF",
+            ],
+            "Cost": [1050, 100, 10000, 1000, 1050, 100],
+            "Credit": [1000, 100, 0, 0, 1000, 0],
+            "Balance": [50, 0, 10000, 1000, 50, 100],
+        }
+        self.dataframe = pandas.DataFrame(data)
+        output_file = tempfile.NamedTemporaryFile(delete=False, mode="w", suffix=".csv")
+        self.output_file = output_file.name
+
+    def test_apply_BU_subsidy(self):
+        process_report.export_BU_only(self.dataframe, self.output_file)
+        output_df = pandas.read_csv(self.output_file)
+
+        self.assertTrue(
+            set(
+                [
+                    process_report.INVOICE_DATE_FIELD,
+                    "Project",
+                    process_report.PI_FIELD,
+                    process_report.COST_FIELD,
+                    process_report.CREDIT_FIELD,
+                    process_report.SUBSIDY_FIELD,
+                    process_report.BALANCE_FIELD,
+                ]
+            ).issubset(output_df)
+        )
+
+        self.assertTrue(
+            set(["PI1", "PI2", "PI4"]).issubset(output_df["Manager (PI)"].unique())
+        )
+
+        self.assertTrue(
+            set(["ProjectA", "ProjectB", "ProjectE-test", "ProjectF"]).issubset(
+                output_df["Project"].unique()
+            )
+        )
+
+        self.assertEqual(4, len(output_df.index))
+        self.assertEqual(50, output_df.loc[0, "Subsidy"])
+        self.assertEqual(0, output_df.loc[1, "Subsidy"])
+        self.assertEqual(50, output_df.loc[2, "Subsidy"])
+        self.assertEqual(50, output_df.loc[3, "Subsidy"])
+
+        self.assertEqual(0, output_df.loc[0, "Balance"])
+        self.assertEqual(0, output_df.loc[1, "Balance"])
+        self.assertEqual(0, output_df.loc[2, "Balance"])
+        self.assertEqual(50, output_df.loc[3, "Balance"])
+
+
 class TestValidateBillables(TestCase):
     def setUp(self):
         data = {