Add support for data collection parameters across layers

Introduced serialization for `data_collection_parameters` in backend models and processing. Added logic to parse and attach data collection parameters in the frontend. This ensures consistent handling and storage of these parameters throughout the application.

backend/app/schemas.py

@@ -91,6 +91,12 @@ class DataCollectionParameters(BaseModel):
     chiphiangles: Optional[float] = None  # Optional float field between 0 and 30
     dose: Optional[float] = None  # Optional float field
 
+    def to_dict(self):
+        """Convert the model instance to a dictionary."""
+        return self.dict(
+            exclude_unset=True
+        )  # Use this built-in method for serialization
+
     class Config:
         from_attributes = True
 
@@ -416,6 +422,7 @@ class Sample(BaseModel):
     positioninpuck: Optional[int] = Field(None)
     priority: Optional[int] = None
     comments: Optional[str] = None
+    data_collection_parameters: Optional[DataCollectionParameters]
     events: List[SampleEventCreate] = []
 
 
@@ -423,7 +430,7 @@ class SampleCreate(BaseModel):
     sample_name: str = Field(..., alias="crystalname")
     proteinname: Optional[str] = None
     position: int = Field(..., alias="positioninpuck")
-    data_collection_parameters: Optional[DataCollectionParameters] = None
+    data_collection_parameters: Optional[DataCollectionParameters] = Field(default=None)
     priority: Optional[int] = None
     comments: Optional[str] = None
     results: Optional[Results] = None