fix: remove id from dict()

Author: glichtner

execution_engine/execution_engine.py

@@ -98,6 +98,8 @@ def load_recommendation(
                 )
                 return recommendation
 
+        # recommendation could not be loaded from database, fetch it from FHIR server
+
         recommendation = self.fhir_parser.parse_recommendation_from_url(
             url=recommendation_url,
             package_version=recommendation_package_version,
@@ -210,16 +212,6 @@ def _hash(obj: Serializable) -> tuple[bytes, str]:
 
     def register_recommendation(self, recommendation: cohort.Recommendation) -> None:
         """Registers the Recommendation in the result database."""
-        # We don't want to include any ids in the hash since ids
-        # "accidental" in the sense that they depend on, at least, the
-        # order in which recommendations are inserted into the
-        # database.
-        assert recommendation._id is None
-        assert recommendation._base_criterion._id is None
-        for pi_pair in recommendation._pi_pairs:
-            assert pi_pair._id is None
-            for criterion in pi_pair.flatten():
-                assert criterion._id is None
         # Get the hash but ignore the JSON representation for now
         # since we will compute and insert a complete JSON
         # representation later when we know all ids.
@@ -306,8 +298,6 @@ def register_population_intervention_pair(
         :param pi_pair: The Population/Intervention Pair.
         :param recommendation_id: The ID of the Population/Intervention Pair.
         """
-        # We don't want to include the id in the hash
-        assert pi_pair._id is None
         _, pi_pair_hash = self._hash(pi_pair)
         query = select(result_db.PopulationInterventionPair).where(
             result_db.PopulationInterventionPair.pi_pair_hash == pi_pair_hash

execution_engine/omop/cohort/population_intervention_pair.py

@@ -263,7 +263,6 @@ def dict(self) -> dict[str, Any]:
         population = self._population
         intervention = self._intervention
         return {
-            "id": self._id,
             "name": self.name,
             "url": self.url,
             "base_criterion": {
@@ -295,7 +294,6 @@ def from_dict(cls, data: Dict[str, Any]) -> "PopulationInterventionPair":
             CriterionCombination, criterion_factory(**data["intervention"])
         )
         object = cls(
-            id=data["id"],
             name=data["name"],
             url=data["url"],
             base_criterion=base_criterion,

execution_engine/omop/cohort/recommendation.py

@@ -255,7 +255,6 @@ def dict(self) -> dict:
         """
         base_criterion = self._base_criterion
         return {
-            "id": self._id,
             "population_intervention_pairs": [c.dict() for c in self._pi_pairs],
             "base_criterion": {
                 "class_name": base_criterion.__class__.__name__,
@@ -291,5 +290,4 @@ def from_dict(cls, data: Dict[str, Any]) -> Self:
             version=data["recommendation_version"],
             description=data["recommendation_description"],
             package_version=data["recommendation_package_version"],
-            recommendation_id=data["id"],
         )

execution_engine/omop/criterion/concept.py

@@ -136,7 +136,6 @@ def dict(self) -> dict[str, Any]:
         Get a JSON representation of the criterion.
         """
         return {
-            "id": self._id,
             "category": self._category.value,
             "concept": self._concept.model_dump(),
             "value": (
@@ -159,7 +158,6 @@ def from_dict(cls, data: Dict[str, Any]) -> "ConceptCriterion":
         """
 
         return cls(
-            id=data["id"],
             category=CohortCategory(data["category"]),
             concept=Concept(**data["concept"]),
             value=(

execution_engine/omop/criterion/drug_exposure.py

@@ -379,7 +379,6 @@ def from_dict(cls, data: Dict[str, Any]) -> "DrugExposure":
         assert dose is None or isinstance(dose, Dosage), "Dose must be a Dosage or None"
 
         return cls(
-            id=data["id"],
             category=CohortCategory(data["category"]),
             ingredient_concept=Concept(**data["ingredient_concept"]),
             dose=dose,

execution_engine/omop/criterion/procedure_occurrence.py

@@ -160,7 +160,6 @@ def dict(self) -> dict[str, Any]:
         assert self._concept is not None, "Concept must be set"
 
         return {
-            "id": self._id,
             "category": self._category.value,
             "concept": self._concept.model_dump(),
             "value": (
@@ -192,7 +191,6 @@ def from_dict(cls, data: Dict[str, Any]) -> "ProcedureOccurrence":
         ), "timing must be a ValueNumber"
 
         return cls(
-            id=data["id"],
             category=CohortCategory(data["category"]),
             concept=Concept(**data["concept"]),
             value=value,

execution_engine/omop/criterion/visit_occurrence.py

@@ -88,14 +88,14 @@ def dict(self) -> dict[str, Any]:
         """
         Get a JSON representation of the criterion.
         """
-        return {"id": self._id}
+        return {}
 
     @classmethod
     def from_dict(cls, data: Dict[str, Any]) -> "ActivePatients":
         """
         Create a criterion from a JSON representation.
         """
-        return cls(id=data["id"])
+        return cls()
 
 
 class PatientsActiveDuringPeriod(ActivePatients):