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.
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@ -8,7 +8,7 @@ from sqlalchemy.orm import Session, joinedload
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from typing import List
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import logging
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from sqlalchemy.exc import SQLAlchemyError
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from pydantic import ValidationError
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from pydantic import ValidationError, BaseModel
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from app.schemas import (
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Dewar as DewarSchema,
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DewarCreate,
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@ -88,6 +88,26 @@ async def create_dewar(
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db.refresh(puck)
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for sample_data in puck_data.samples:
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logging.debug(
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f"data_collection_parameters: "
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f"{sample_data.data_collection_parameters}"
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)
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if sample_data.data_collection_parameters is None:
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serialized_params = {}
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elif hasattr(sample_data.data_collection_parameters, "to_dict"):
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serialized_params = sample_data.data_collection_parameters.to_dict()
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elif isinstance(sample_data.data_collection_parameters, BaseModel):
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serialized_params = sample_data.data_collection_parameters.dict(
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exclude_unset=True
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)
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elif isinstance(sample_data.data_collection_parameters, dict):
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serialized_params = sample_data.data_collection_parameters
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else:
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raise ValueError(
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"data_collection_parameters must be a dictionary,"
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"have a to_dict method, or be None"
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)
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sample = SampleModel(
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puck_id=puck.id,
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sample_name=sample_data.sample_name,
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@ -95,7 +115,7 @@ async def create_dewar(
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position=sample_data.position,
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priority=sample_data.priority,
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comments=sample_data.comments,
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data_collection_parameters=sample_data.data_collection_parameters,
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data_collection_parameters=serialized_params,
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)
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db.add(sample)
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db.commit()
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@ -91,6 +91,12 @@ class DataCollectionParameters(BaseModel):
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chiphiangles: Optional[float] = None # Optional float field between 0 and 30
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dose: Optional[float] = None # Optional float field
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def to_dict(self):
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"""Convert the model instance to a dictionary."""
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return self.dict(
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exclude_unset=True
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) # Use this built-in method for serialization
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class Config:
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from_attributes = True
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@ -416,6 +422,7 @@ class Sample(BaseModel):
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positioninpuck: Optional[int] = Field(None)
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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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@ -423,7 +430,7 @@ class SampleCreate(BaseModel):
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sample_name: str = Field(..., alias="crystalname")
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proteinname: Optional[str] = None
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position: int = Field(..., alias="positioninpuck")
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data_collection_parameters: Optional[DataCollectionParameters] = None
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data_collection_parameters: Optional[DataCollectionParameters] = Field(default=None)
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priority: Optional[int] = None
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comments: Optional[str] = None
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results: Optional[Results] = None
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@ -247,6 +247,7 @@ const SpreadsheetTable = ({
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continue;
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}
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// Extract values from the appropriate columns
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const dewarName = typeof row.data[dewarNameIdx] === 'string' ? row.data[dewarNameIdx].trim() : null;
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const puckName = row.data[puckNameIdx] !== undefined && row.data[puckNameIdx] !== null ? String(row.data[puckNameIdx]).trim() : null;
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const puckType = typeof row.data[puckTypeIdx] === 'string' ? row.data[puckTypeIdx] : 'Unipuck';
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@ -256,6 +257,34 @@ const SpreadsheetTable = ({
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const priority = row?.data?.[priorityIdx] ? Number(row.data[priorityIdx]) : null;
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const comments = typeof row.data[commentsIdx] === 'string' ? row.data[commentsIdx].trim() : null;
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// Create data_collection_parameters object
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const dataCollectionParameters = {
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directory: row.data[fieldToCol['directory']],
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oscillation: row.data[fieldToCol['oscillation']] ? parseFloat(row.data[fieldToCol['oscillation']]) : undefined,
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aperture: row.data[fieldToCol['aperture']] ? row.data[fieldToCol['aperture']].trim() : undefined,
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exposure: row.data[fieldToCol['exposure']] ? parseFloat(row.data[fieldToCol['exposure']]) : undefined,
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totalrange: row.data[fieldToCol['totalrange']] ? parseInt(row.data[fieldToCol['totalrange']], 10) : undefined,
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transmission: row.data[fieldToCol['transmission']] ? parseInt(row.data[fieldToCol['transmission']], 10) : undefined,
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dose: row.data[fieldToCol['dose']] ? parseFloat(row.data[fieldToCol['dose']]) : undefined,
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targetresolution: row.data[fieldToCol['targetresolution']] ? parseFloat(row.data[fieldToCol['targetresolution']]) : undefined,
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datacollectiontype: row.data[fieldToCol['datacollectiontype']],
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processingpipeline: row.data[fieldToCol['processingpipeline']],
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spacegroupnumber: row.data[fieldToCol['spacegroupnumber']] ? parseInt(row.data[fieldToCol['spacegroupnumber']], 10) : undefined,
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cellparameters: row.data[fieldToCol['cellparameters']],
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rescutkey: row.data[fieldToCol['rescutkey']],
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rescutvalue: row.data[fieldToCol['rescutvalue']] ? parseFloat(row.data[fieldToCol['rescutvalue']]) : undefined,
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userresolution: row.data[fieldToCol['userresolution']] ? parseFloat(row.data[fieldToCol['userresolution']]) : undefined,
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pdbid: row.data[fieldToCol['pdbid']],
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autoprocfull: row.data[fieldToCol['autoprocfull']] === true,
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procfull: row.data[fieldToCol['procfull']] === true,
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adpenabled: row.data[fieldToCol['adpenabled']] === true,
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noano: row.data[fieldToCol['noano']] === true,
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ffcscampaign: row.data[fieldToCol['ffcscampaign']] === true,
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trustedhigh: row.data[fieldToCol['trustedhigh']] ? parseFloat(row.data[fieldToCol['trustedhigh']]) : undefined,
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autoprocextraparams: row.data[fieldToCol['autoprocextraparams']],
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chiphiangles: row.data[fieldToCol['chiphiangles']] ? parseFloat(row.data[fieldToCol['chiphiangles']]) : undefined,
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};
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if (dewarName && puckName) {
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let dewar;
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if (!dewars.has(dewarName)) {
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@ -301,7 +330,7 @@ const SpreadsheetTable = ({
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position: samplePosition,
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priority: priority,
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comments: comments,
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data_collection_parameters: null,
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data_collection_parameters: dataCollectionParameters, // Attach the parameters
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results: null // Placeholder for results field
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};
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