Refactor dewar and sample handling; improve grid data binding
Updated Dewar and Sample schemas, added nested relationships, and adjusted API responses for better data handling. Simplified puck normalization, enhanced data grid logic in the frontend, and implemented a PUT endpoint for updating samples. Incremented backend version to 0.1.0a15 and added new HTTP request example.
This commit is contained in:
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ae20d6112a
commit
9bfcc30981
@ -17,7 +17,12 @@ from app.schemas import (
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DewarTypeCreate,
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DewarSerialNumber as DewarSerialNumberSchema,
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DewarSerialNumberCreate,
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Shipment as ShipmentSchema, # Clearer name for schema
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Shipment as ShipmentSchema,
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Dewar,
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SampleUpdate,
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Sample,
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Puck,
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SampleEventResponse, # Clearer name for schema
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)
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from app.models import (
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Dewar as DewarModel,
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@ -308,41 +313,86 @@ async def download_dewar_label(dewar_id: int, db: Session = Depends(get_db)):
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)
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@router.get("/dewars/{dewar_id}/samples", response_model=dict)
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@router.get("/dewars/{dewar_id}/samples", response_model=Dewar)
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async def get_dewar_samples(dewar_id: int, db: Session = Depends(get_db)):
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# Fetch Dewar, associated Pucks, and Samples
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# Fetch the Dewar with nested relationships
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dewar = db.query(DewarModel).filter(DewarModel.id == dewar_id).first()
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if not dewar:
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raise HTTPException(status_code=404, detail="Dewar not found")
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pucks = db.query(PuckModel).filter(PuckModel.dewar_id == dewar.id).all()
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data = {"dewar": {"id": dewar.id, "dewar_name": dewar.dewar_name}, "pucks": []}
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for puck in pucks:
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samples = db.query(SampleModel).filter(SampleModel.puck_id == puck.id).all()
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data["pucks"].append(
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{
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"id": puck.id,
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"name": puck.puck_name,
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"type": puck.puck_type,
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"samples": [
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{
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"id": sample.id,
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"position": sample.position,
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"dewar_name": dewar.dewar_name,
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"sample_name": sample.sample_name,
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"priority": sample.priority,
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"comments": sample.comments,
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"proteinname": sample.proteinname,
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**(sample.data_collection_parameters or {}),
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}
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for sample in samples
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# Explicitly map nested relationships
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dewar_data = {
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"id": dewar.id,
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"dewar_name": dewar.dewar_name,
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"tracking_number": dewar.tracking_number,
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"status": dewar.status,
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"number_of_pucks": len(dewar.pucks), # Calculate number of pucks
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"number_of_samples": sum(
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len(puck.samples) for puck in dewar.pucks
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), # Calculate total samples
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"ready_date": dewar.ready_date,
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"shipping_date": dewar.shipping_date,
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"arrival_date": dewar.arrival_date,
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"returning_date": dewar.returning_date,
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"contact_person_id": dewar.contact_person.id if dewar.contact_person else None,
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"return_address_id": dewar.return_address.id if dewar.return_address else None,
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"shipment_id": dewar.shipment_id,
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"contact_person": dewar.contact_person,
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"return_address": dewar.return_address,
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"pucks": [
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Puck(
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id=puck.id,
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puck_name=puck.puck_name,
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puck_type=puck.puck_type,
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puck_location_in_dewar=puck.puck_location_in_dewar,
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dewar_id=dewar.id,
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samples=[
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Sample(
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id=sample.id,
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sample_name=sample.sample_name,
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position=sample.position,
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puck_id=sample.puck_id,
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crystalname=getattr(sample, "crystalname", None),
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proteinname=getattr(sample, "proteinname", None),
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positioninpuck=getattr(sample, "positioninpuck", None),
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priority=sample.priority,
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comments=sample.comments,
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data_collection_parameters=sample.data_collection_parameters,
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events=[
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SampleEventResponse.from_orm(event)
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for event in sample.events
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],
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)
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for sample in puck.samples
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],
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}
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)
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)
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for puck in dewar.pucks
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],
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}
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return data
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# Return the Pydantic Dewar model
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return Dewar(**dewar_data)
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@router.put("/samples/{sample_id}", response_model=Sample)
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async def update_sample(
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sample_id: int,
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sample_update: SampleUpdate,
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db: Session = Depends(get_db),
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):
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sample = db.query(SampleModel).filter(SampleModel.id == sample_id).first()
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if not sample:
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raise HTTPException(status_code=404, detail="Sample not found")
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# Apply updates
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for key, value in sample_update.dict(exclude_unset=True).items():
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if hasattr(sample, key):
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setattr(sample, key, value)
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# Save changes
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db.commit()
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db.refresh(sample)
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return Sample.from_orm(sample)
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@router.get("/", response_model=List[DewarSchema])
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@ -34,8 +34,7 @@ def normalize_puck_name(name: str) -> str:
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"""
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Normalize a puck_name to remove special characters and ensure consistent formatting.
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"""
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name = str(name).strip().replace(" ", "_").upper()
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name = re.sub(r"[^A-Z0-9]", "", name) # Remove special characters
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name = re.sub(r"[^A-Z0-9]", "", name.upper()) # Remove special characters
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return name
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@ -50,22 +49,11 @@ async def set_tell_positions(
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):
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results = []
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# Helper function to normalize puck names for database querying
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def normalize_puck_name(name: str) -> str:
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return str(name).strip().replace(" ", "_").upper()
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if not pucks:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail="Payload cannot be empty. Provide at least one puck.",
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)
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# Retrieve all pucks in the database with their most recent
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# `tell_position_set` event
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all_pucks_with_last_event = (
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db.query(PuckModel, PuckEventModel)
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.outerjoin(PuckEventModel, PuckEventModel.puck_id == PuckModel.id)
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.filter(PuckEventModel.event_type == "tell_position_set")
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.order_by(PuckEventModel.puck_id, PuckEventModel.timestamp.desc())
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.all()
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)
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@ -423,7 +423,10 @@ class Sample(BaseModel):
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priority: Optional[int] = None
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comments: Optional[str] = None
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data_collection_parameters: Optional[DataCollectionParameters]
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events: List[SampleEventCreate] = []
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events: List[SampleEventResponse] = []
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class Config:
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from_attributes = True
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class SampleCreate(BaseModel):
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@ -501,6 +504,9 @@ class DewarBase(BaseModel):
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return_address_id: Optional[int]
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pucks: List[PuckCreate] = []
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class Config:
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from_attributes = True
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class DewarCreate(DewarBase):
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pass
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@ -612,6 +618,18 @@ class SlotSchema(BaseModel):
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from_attributes = True
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class SampleUpdate(BaseModel):
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sample_name: Optional[str]
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proteinname: Optional[str]
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priority: Optional[int]
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position: Optional[int]
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comments: Optional[str]
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data_collection_parameters: Optional[DataCollectionParameters]
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class Config:
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from_attributes = True
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class SetTellPosition(BaseModel):
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puck_name: str
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segment: Optional[str] = Field(
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@ -139,8 +139,8 @@ def on_startup():
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load_slots_data(db)
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else: # dev or test environments
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print(f"{environment.capitalize()} environment: Regenerating database.")
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Base.metadata.drop_all(bind=engine)
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Base.metadata.create_all(bind=engine)
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# Base.metadata.drop_all(bind=engine)
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# Base.metadata.create_all(bind=engine)
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if environment == "dev":
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from app.database import load_sample_data
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@ -18,83 +18,79 @@ const SampleSpreadsheet: React.FC<SampleSpreadsheetProps> = ({ dewarId }) => {
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}
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const fetchSamples = async () => {
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try {
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const response = await DewarsService.getDewarSamplesDewarsDewarsDewarIdSamplesGet(dewarId);
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const dewarData = response; // Assume response is already in correct structure
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try {
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const response = await DewarsService.getDewarSamplesDewarsDewarsDewarIdSamplesGet(dewarId);
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console.log("Response from backend:", response);
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const dewarData = response; // Assume response is already in correct structure
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// Transform pucks and samples into rows for the grid
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const allRows = [];
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dewarData.pucks.forEach((puck: any) => {
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puck.samples.forEach((sample: any) => {
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allRows.push({
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id: sample.id,
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puckId: puck.id,
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puckName: puck.name,
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puckType: puck.type,
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dewarName: dewarData.dewar.dewar_name,
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position: sample.position,
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crystalName: sample.sample_name,
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proteinName: sample.proteinname,
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priority: sample.priority,
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comments: sample.comments,
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directory: sample.directory,
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oscillation: sample.oscillation,
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aperture: sample.aperture,
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exposure: sample.exposure,
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totalRange: sample.totalrange,
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transmission: sample.transmission,
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dose: sample.dose,
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targetResolution: sample.targetresolution,
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datacollectiontype: sample.datacollectiontype,
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processingpipeline: sample.processingpipeline,
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spacegroupnumber: sample.spacegroupnumber,
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cellparameters: sample.cellparameters,
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rescutkey: sample.rescutkey,
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//rescutvalues: sample.rescutvalues,
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pdbid: sample.pdbid,
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autoprocfull: sample.autoprocfull,
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procfull: sample.procfull,
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adpenabled: sample.adpenabled,
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noano: sample.noano,
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ffcscampaign: sample.ffcscampaign,
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// Transform pucks and samples into rows for the grid
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const allRows: any[] = [];
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dewarData.pucks.forEach((puck: any) => {
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puck.samples.forEach((sample: any) => {
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const {
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directory,
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oscillation,
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exposure,
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totalrange,
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transmission,
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dose,
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} = sample.data_collection_parameters || {};
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allRows.push({
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id: sample.id,
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puckId: puck.id,
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puckName: puck.puck_name,
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puckType: puck.puck_type,
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dewarName: dewarData.dewar_name,
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position: sample.position,
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crystalName: sample.sample_name,
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proteinName: sample.proteinname,
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priority: sample.priority,
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comments: sample.comments,
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directory: directory || null,
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oscillation: oscillation || null,
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exposure: exposure || null,
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totalRange: totalrange || null,
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transmission: transmission || null,
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dose: dose || null,
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dataCollectionParameters: sample.data_collection_parameters || {}, // Ensure this is never undefined
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});
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});
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});
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});
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});
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setRows(allRows);
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console.log("All rows for DataGrid:", allRows);
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setRows(allRows);
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setColumns([
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{ field: "dewarName", headerName: "Dewar Name", width: 150, editable: false },
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{ field: "puckName", headerName: "Puck Name", width: 150 },
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{ field: "puckType", headerName: "Puck Type", width: 150 },
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{ field: "crystalName", headerName: "Crystal Name", width: 200, editable: true },
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{ field: "proteinName", headerName: "Protein Name", width: 200, editable: true },
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{ field: "position", headerName: "Position", width: 100, editable: true, type: "number" },
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{ field: "priority", headerName: "Priority", width: 100, editable: true, type: "number" },
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{ field: "comments", headerName: "Comments", width: 300, editable: true },
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{ field: "directory", headerName: "Directory", width: 200 },
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{ field: "oscillation", headerName: "Oscillation", width: 150, editable: true, type: "number" },
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{ field: "aperture", headerName: "Aperture", width: 150, editable: true, type: "number" },
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{ field: "exposure", headerName: "Exposure", width: 150, editable: true, type: "number" },
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{ field: "totalRange", headerName: "Total Range", width: 150, editable: true, type: "number" },
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{ field: "transmission", headerName: "Transmission", width: 150, editable: true, type: "number" },
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{ field: "dose", headerName: "Dose", width: 150, editable: true, type: "number" },
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{ field: "targetResolution", headerName: "Target Resolution", width: 200, editable: true, type: "number" },
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{ field: "datacollectiontype", headerName: "Data Collection Type", width: 200 },
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{ field: "processingpipeline", headerName: "Processing Pipeline", width: 200 },
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{ field: "spacegroupnumber", headerName: "Space Group Number", width: 150, type: "number" },
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{ field: "cellparameters", headerName: "Cell Parameters", width: 200 },
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{ field: "rescutkey", headerName: "Rescut Key", width: 150 },
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{ field: "pdbid", headerName: "PDB ID", width: 150 },
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{ field: "autoprocfull", headerName: "Auto Proc Full", width: 150 },
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{ field: "procfull", headerName: "Proc Full", width: 150 },
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{ field: "adpenabled", headerName: "ADP Enabled", width: 150, editable: true, type: "boolean" },
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{ field: "noano", headerName: "No Ano", width: 150, editable: true, type: "boolean" },
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{ field: "ffcscampaign", headerName: "FFCS Campaign", width: 200 },
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]);
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} catch (error) {
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console.error("Error fetching dewar samples:", error);
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}
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};
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// Define columns for the grid
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setColumns([
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{ field: "dewarName", headerName: "Dewar Name", width: 150, editable: false },
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{ field: "puckName", headerName: "Puck Name", width: 150 },
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{ field: "puckType", headerName: "Puck Type", width: 150 },
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{ field: "crystalName", headerName: "Crystal Name", width: 200, editable: true },
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{ field: "proteinName", headerName: "Protein Name", width: 200, editable: true },
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{ field: "position", headerName: "Position", width: 100, editable: true, type: "number" },
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{ field: "priority", headerName: "Priority", width: 100, editable: true, type: "number" },
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{ field: "comments", headerName: "Comments", width: 300, editable: true },
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{ field: "directory", headerName: "Directory", width: 200 },
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{ field: "oscillation", headerName: "Oscillation", width: 150, editable: true, type: "number" },
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{ field: "exposure", headerName: "Exposure", width: 150, editable: true, type: "number" },
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{ field: "totalRange", headerName: "Total Range", width: 150, editable: true, type: "number" },
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{ field: "transmission", headerName: "Transmission", width: 150, editable: true, type: "number" },
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{ field: "dose", headerName: "Dose", width: 150, editable: true, type: "number" },
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{
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field: "dataCollectionParameters",
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headerName: "Data Collection Parameters (Raw)",
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width: 300,
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valueGetter: (params) =>
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params.row?.dataCollectionParameters
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? JSON.stringify(params.row.dataCollectionParameters)
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: "N/A", // Fallback if undefined
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editable: false,
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},
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]);
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} catch (error) {
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console.error("Error fetching dewar samples:", error);
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}
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};
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fetchSamples();
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}, [dewarId]);
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@ -102,12 +98,19 @@ const SampleSpreadsheet: React.FC<SampleSpreadsheetProps> = ({ dewarId }) => {
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// Handle cell editing to persist changes to the backend
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const handleCellEditStop = async (params: GridCellEditStopParams) => {
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const { id, field, value } = params;
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if (!id || !field || value === undefined) {
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console.error("Invalid edit inputs");
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return;
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}
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try {
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// Example: Replace with a proper OpenAPI call if available
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await DewarsService.updateSampleData(id as number, { [field]: value }); // Assuming this exists
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console.log("Updated successfully");
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// Call the update_sample API endpoint
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await DewarsService.updateSampleSampleIdPut(id as number, {
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[field]: value,
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});
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console.log("Sample updated successfully");
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} catch (error) {
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console.error("Error saving data:", error);
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console.error(`Error updating sample (id: ${id}):`, error);
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}
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};
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@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
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[project]
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name = "aareDB"
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version = "0.1.0a14"
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version = "0.1.0a15"
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description = "Backend for next gen sample management system"
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authors = [{name = "Guillaume Gotthard", email = "guillaume.gotthard@psi.ch"}]
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license = {text = "MIT"}
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