adapt architecture, added new prototype for WF-200

src/umbreit/db.py

@@ -168,11 +168,32 @@ results = Table(
     Column("bedarf_sequenz", sql.Integer, nullable=False),
     Column("vorlage", sql.Boolean, nullable=False),
     Column("wf_id", sql.Integer, nullable=False),
-    Column("best_menge", sql.Integer, nullable=False),
+    Column("best_menge", sql.Integer, nullable=True),
     Column("freigabe_auto", sql.Boolean, nullable=False),
 )
 
+results_schema_map: PolarsSchema = {
+    "id": pl.UInt32,
+    "bedarf_nr": pl.UInt32,
+    "bedarf_sequenz": pl.UInt32,
+    "vorlage": pl.Boolean,
+    "wf_id": pl.UInt16,
+    "best_menge": pl.UInt32,
+    "freigabe_auto": pl.Boolean,
+}
+
+
 map_to_result: dict[str, str] = {
     "BEDARFNR": "bedarf_nr",
     "BEDP_SEQUENZ": "bedarf_sequenz",
 }
+
+raw_data_query_schema_map: PolarsSchema = {
+    "BEDARFNR": pl.UInt32,
+    "BEDP_SEQUENZ": pl.UInt32,
+    "BEDP_TITELNR": pl.UInt32,
+    "BEDP_MAN": pl.UInt8,
+    "BEDP_MENGE_BEDARF_VM": pl.UInt32,
+    "MELDENUMMER": pl.UInt8,
+    "MENGE_VORMERKER": pl.UInt32,
+}

src/umbreit/types.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import enum
 from dataclasses import dataclass
 from typing import TypeAlias
 
@@ -7,3 +8,8 @@ import polars as pl
 
 PolarsSchema: TypeAlias = dict[str, type[pl.DataType]]
 PolarsNullValues: TypeAlias = dict[str, str]
+
+
+class Freigabe(enum.Enum):
+    WF_100 = False
+    WF_200 = False