A fully working version of the scheduling language with added examples

transformation/schedule/rule_executor.py

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+from typing import Any
+from uuid import UUID
+
+from api.od import ODAPI
+from transformation.matcher import match_od
+from transformation.rewriter import rewrite
+from util.loader import parse_and_check
+
+
+class RuleExecutor:
+    def __init__(self, state, mm: UUID, mm_ramified: UUID, eval_context={}):
+        self.state = state
+        self.mm = mm
+        self.mm_ramified = mm_ramified
+        self.eval_context = eval_context
+
+    # Generates matches.
+    # Every match is a dictionary with entries LHS_element_name -> model_element_name
+    def match_rule(self, m: UUID, lhs: UUID, *, pivot: dict[Any, Any]):
+        lhs_matcher = match_od(
+            self.state,
+            host_m=m,
+            host_mm=self.mm,
+            pattern_m=lhs,
+            pattern_mm=self.mm_ramified,
+            eval_context=self.eval_context,
+            pivot=pivot,
+        )
+        return lhs_matcher
+
+    def rewrite_rule(self, od: ODAPI, rhs: UUID, *, pivot: dict[Any, Any]):
+        rhs = rewrite(
+            self.state,
+            rhs_m=rhs,
+            pattern_mm=self.mm_ramified,
+            lhs_match=pivot,
+            host_m=od.m,
+            host_mm=od.mm,
+            eval_context=self.eval_context,
+        )
+        od.recompute_mappings()
+        yield rhs
+
+    def load_match(self, file: str):
+        with open(file, "r") as f:
+            return parse_and_check(self.state, f.read(), self.mm_ramified, file)