Add dataset, slurm_id, and FAILED status to models

Enhanced the models with new fields: a dataset field for Experiment Parameters and a slurm_id for Jobs. Introduced a FAILED status for the JobStatus enum. Updated functionality to handle datasets and trigger job creation based on dataset status.

backend/app/schemas.py

@@ -898,9 +898,16 @@ class BeamlineParameters(BaseModel):
     # beamstopDiameter_mm: Optional[float] = None
 
 
+class Datasets(BaseModel):
+    filepath: str
+    status: str
+    written_at: datetime
+
+
 class ExperimentParametersBase(BaseModel):
     run_number: int
     beamline_parameters: Optional[BeamlineParameters] = None
+    dataset: Optional[Datasets] = None
     sample_id: int
 
 
@@ -915,6 +922,12 @@ class ExperimentParametersRead(ExperimentParametersBase):
         from_attributes = True
 
 
+class ExperimentParametersUpdate(BaseModel):
+    run_number: int
+    dataset: Optional[Datasets]
+    sample_id: int
+
+
 class SampleResult(BaseModel):
     sample_id: int
     sample_name: str
@@ -952,6 +965,7 @@ class JobsCreate(BaseModel):
     created_at: datetime
     updated_at: datetime
     experiment_parameters: BeamlineParameters
+    slurm_id: Optional[int] = None
 
     class Config:
         from_attributes = True
@@ -968,8 +982,10 @@ class JobsResponse(BaseModel):
     updated_at: Optional[datetime]
     data_collection_parameters: Optional[DataCollectionParameters] = None
     experiment_parameters: BeamlineParameters
+    slurm_id: Optional[int] = None
 
 
 class JobsUpdate(BaseModel):
     job_id: int
     status: str
+    slurm_id: int