Resolve mismatch between staging and prod db data for financials (#211)

SQL Creation is now done dynamicly by the definition of the enumeration
type.

tests/utils/data_extraction/bundesanzeiger_test.py

@@ -3,10 +3,10 @@ from unittest.mock import Mock, patch
 
 import pandas as pd
 
-from aki_prj23_transparenzregister.models.company import FinancialKPIEnum
 from aki_prj23_transparenzregister.utils.data_extraction.bundesanzeiger import (
     Bundesanzeiger,
 )
+from aki_prj23_transparenzregister.utils.enum_types import FinancialKPIEnum
 
 
 def test_extract_auditor_company_no_hits() -> None:

tests/utils/data_transfer_test.py

@@ -615,7 +615,6 @@ def test_add_relationships_none(empty_relations: list, full_db: Session) -> None
 
 
 # noinspection SpellCheckingInspection
-@pytest.mark.working_on()
 @pytest.mark.parametrize(
     "documents",
     [
@@ -980,7 +979,7 @@ def test_add_annual_report(
         year,
         {
             "financials": {
-                "ebit": 123,
+                "revenue": 123,
                 "ebitda": 235,
                 "short_term_debt": short_term_debt,
             },
@@ -999,24 +998,9 @@ def test_add_annual_report(
                 "id": 3,
                 "company_id": company_id,
                 "date": pd.to_datetime(date(year, 1, 1)),
-                "total_volume": float("NaN"),
-                "ebit": 123.0,
+                "revenue": 123.0,
                 "ebitda": 235.0,
-                "ebit_margin": float("NaN"),
-                "total_balance": float("NaN"),
-                "equity": float("NaN"),
-                "debt": float("NaN"),
-                "return_on_equity": float("NaN"),
-                "capital_turnover_rate": float("NaN"),
-                "current_liabilities": float("NaN"),
-                "dividends": float("NaN"),
-                "net_income": float("NaN"),
-                "assets": float("NaN"),
-                "long_term_debt": float("NaN"),
                 "short_term_debt": short_term_debt,
-                "revenue": float("NaN"),
-                "cash_flow": float("NaN"),
-                "current_assets": float("NaN"),
             }
         ]
     )
@@ -1025,6 +1009,7 @@ def test_add_annual_report(
     pd.testing.assert_frame_equal(
         expected_results,
         df_prior,
+        check_like=True,
     )