Pre-cleanup
This commit is contained in:
@@ -1,4 +1,4 @@
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'''
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All database related operations.
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'''
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from .functions import *
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# from .functions import *
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@@ -1,280 +0,0 @@
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'''
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Used to construct models from input dictionaries.
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'''
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from tools import Settings, check_regex_match, check_authorization, massage_common_reagents
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from .. import models
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from .lookups import *
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import logging
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from datetime import date, timedelta
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from dateutil.parser import parse
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from typing import Tuple
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from sqlalchemy.exc import IntegrityError, SAWarning
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from . import store_object
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from backend.validators import RSLNamer
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logger = logging.getLogger(f"submissions.{__name__}")
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# def construct_reagent(ctx:Settings, info_dict:dict) -> models.Reagent:
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# """
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# Construct reagent object from dictionary
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# NOTE: Depreciated in favour of Pydantic model .toSQL method
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# Args:
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# ctx (Settings): settings object passed down from gui
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# info_dict (dict): dictionary to be converted
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# Returns:
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# models.Reagent: Constructed reagent object
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# """
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# reagent = models.Reagent()
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# for item in info_dict:
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# logger.debug(f"Reagent info item for {item}: {info_dict[item]}")
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# # set fields based on keys in dictionary
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# match item:
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# case "lot":
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# reagent.lot = info_dict[item].upper()
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# case "expiry":
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# if isinstance(info_dict[item], date):
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# reagent.expiry = info_dict[item]
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# else:
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# reagent.expiry = parse(info_dict[item]).date()
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# case "type":
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# reagent_type = lookup_reagent_types(ctx=ctx, name=info_dict[item])
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# if reagent_type != None:
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# reagent.type.append(reagent_type)
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# case "name":
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# if item == None:
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# reagent.name = reagent.type.name
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# else:
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# reagent.name = info_dict[item]
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# # add end-of-life extension from reagent type to expiry date
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# # NOTE: this will now be done only in the reporting phase to account for potential changes in end-of-life extensions
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# return reagent
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# def construct_submission_info(ctx:Settings, info_dict:dict) -> Tuple[models.BasicSubmission, dict]:
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# """
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# Construct submission object from dictionary pulled from gui form
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# NOTE: Depreciated in favour of Pydantic model .toSQL method
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# Args:
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# ctx (Settings): settings object passed down from gui
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# info_dict (dict): dictionary to be transformed
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# Returns:
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# models.BasicSubmission: Constructed submission object
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# """
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# # convert submission type into model name
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# # model = get_polymorphic_subclass(polymorphic_identity=info_dict['submission_type'])
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# model = models.BasicSubmission.find_polymorphic_subclass(polymorphic_identity=info_dict['submission_type'])
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# logger.debug(f"We've got the model: {type(model)}")
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# # Ensure an rsl plate number exists for the plate
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# if not check_regex_match("^RSL", info_dict["rsl_plate_num"]):
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# instance = None
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# msg = "A proper RSL plate number is required."
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# return instance, {'code': 2, 'message': "A proper RSL plate number is required."}
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# else:
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# # # enforce conventions on the rsl plate number from the form
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# # # info_dict['rsl_plate_num'] = RSLNamer(ctx=ctx, instr=info_dict["rsl_plate_num"]).parsed_name
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# info_dict['rsl_plate_num'] = RSLNamer(ctx=ctx, instr=info_dict["rsl_plate_num"], sub_type=info_dict['submission_type']).parsed_name
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# # check database for existing object
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# instance = lookup_submissions(ctx=ctx, rsl_number=info_dict['rsl_plate_num'])
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# # get model based on submission type converted above
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# # logger.debug(f"Looking at models for submission type: {query}")
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# # if query return nothing, ie doesn't already exist in db
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# if instance == None:
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# instance = model()
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# logger.debug(f"Submission doesn't exist yet, creating new instance: {instance}")
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# msg = None
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# code = 0
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# else:
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# code = 1
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# msg = "This submission already exists.\nWould you like to overwrite?"
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# for item in info_dict:
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# value = info_dict[item]
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# logger.debug(f"Setting {item} to {value}")
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# # set fields based on keys in dictionary
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# match item:
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# case "extraction_kit":
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# logger.debug(f"Looking up kit {value}")
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# field_value = lookup_kit_types(ctx=ctx, name=value)
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# logger.debug(f"Got {field_value} for kit {value}")
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# case "submitting_lab":
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# logger.debug(f"Looking up organization: {value}")
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# field_value = lookup_organizations(ctx=ctx, name=value)
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# logger.debug(f"Got {field_value} for organization {value}")
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# case "submitter_plate_num":
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# logger.debug(f"Submitter plate id: {value}")
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# field_value = value
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# case "samples":
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# instance = construct_samples(ctx=ctx, instance=instance, samples=value)
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# continue
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# case "submission_type":
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# field_value = lookup_submission_type(ctx=ctx, name=value)
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# case _:
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# field_value = value
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# # insert into field
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# try:
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# setattr(instance, item, field_value)
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# except AttributeError:
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# logger.debug(f"Could not set attribute: {item} to {info_dict[item]}")
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# continue
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# except KeyError:
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# continue
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# # calculate cost of the run: immutable cost + mutable times number of columns
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# # This is now attached to submission upon creation to preserve at-run costs incase of cost increase in the future.
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# try:
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# logger.debug(f"Calculating costs for procedure...")
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# instance.calculate_base_cost()
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# except (TypeError, AttributeError) as e:
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# logger.debug(f"Looks like that kit doesn't have cost breakdown yet due to: {e}, using full plate cost.")
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# instance.run_cost = instance.extraction_kit.cost_per_run
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# logger.debug(f"Calculated base run cost of: {instance.run_cost}")
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# # Apply any discounts that are applicable for client and kit.
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# try:
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# logger.debug("Checking and applying discounts...")
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# discounts = [item.amount for item in lookup_discounts(ctx=ctx, kit_type=instance.extraction_kit, organization=instance.submitting_lab)]
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# logger.debug(f"We got discounts: {discounts}")
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# if len(discounts) > 0:
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# discounts = sum(discounts)
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# instance.run_cost = instance.run_cost - discounts
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# except Exception as e:
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# logger.error(f"An unknown exception occurred when calculating discounts: {e}")
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# # We need to make sure there's a proper rsl plate number
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# logger.debug(f"We've got a total cost of {instance.run_cost}")
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# try:
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# logger.debug(f"Constructed instance: {instance.to_string()}")
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# except AttributeError as e:
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# logger.debug(f"Something went wrong constructing instance {info_dict['rsl_plate_num']}: {e}")
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# logger.debug(f"Constructed submissions message: {msg}")
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# return instance, {'code':code, 'message':msg}
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# def construct_samples(ctx:Settings, instance:models.BasicSubmission, samples:List[dict]) -> models.BasicSubmission:
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# """
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# constructs sample objects and adds to submission
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# NOTE: Depreciated in favour of Pydantic model .toSQL method
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# Args:
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# ctx (Settings): settings passed down from gui
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# instance (models.BasicSubmission): Submission samples scraped from.
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# samples (List[dict]): List of parsed samples
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# Returns:
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# models.BasicSubmission: Updated submission object.
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# """
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# for sample in samples:
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# sample_instance = lookup_samples(ctx=ctx, submitter_id=str(sample['sample'].submitter_id))
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# if sample_instance == None:
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# sample_instance = sample['sample']
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# else:
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# logger.warning(f"Sample {sample} already exists, creating association.")
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# logger.debug(f"Adding {sample_instance.__dict__}")
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# if sample_instance in instance.samples:
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# logger.error(f"Looks like there's a duplicate sample on this plate: {sample_instance.submitter_id}!")
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# continue
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# try:
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# with ctx.database_session.no_autoflush:
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# try:
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# sample_query = sample_instance.sample_type.replace('Sample', '').strip()
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# logger.debug(f"Here is the sample instance type: {sample_instance}")
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# try:
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# assoc = getattr(models, f"{sample_query}Association")
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# except AttributeError as e:
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# logger.error(f"Couldn't get type specific association using {sample_instance.sample_type.replace('Sample', '').strip()}. Getting generic.")
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# assoc = models.SubmissionSampleAssociation
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# assoc = assoc(submission=instance, sample=sample_instance, row=sample['row'], column=sample['column'])
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# instance.submission_sample_associations.append(assoc)
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# except IntegrityError:
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# logger.error(f"Hit integrity error for: {sample}")
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# continue
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# except SAWarning:
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# logger.error(f"Looks like the association already exists for submission: {instance} and sample: {sample_instance}")
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# continue
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# except IntegrityError as e:
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# logger.critical(e)
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# continue
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# return instance
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# @check_authorization
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# def construct_kit_from_yaml(ctx:Settings, kit_dict:dict) -> dict:
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# """
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# Create and store a new kit in the database based on a .yml file
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# TODO: split into create and store functions
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# Args:
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# ctx (Settings): Context object passed down from frontend
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# kit_dict (dict): Experiment dictionary created from yaml file
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# Returns:
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# dict: a dictionary containing results of db addition
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# """
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# # from tools import check_is_power_user, massage_common_reagents
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# # Don't want just anyone adding kits
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# # if not check_is_power_user(ctx=ctx):
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# # logger.debug(f"{getuser()} does not have permission to add kits.")
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# # return {'code':1, 'message':"This user does not have permission to add kits.", "status":"warning"}
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# submission_type = lookup_submission_type(ctx=ctx, name=kit_dict['used_for'])
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# logger.debug(f"Looked up submission type: {kit_dict['used_for']} and got {submission_type}")
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# kit = models.KitType(name=kit_dict["kit_name"])
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# kt_st_assoc = models.SubmissionTypeKitTypeAssociation(kit_type=kit, submission_type=submission_type)
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# for k,v in kit_dict.items():
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# if k not in ["reagent_types", "kit_name", "used_for"]:
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# kt_st_assoc.set_attrib(k, v)
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# kit.kit_submissiontype_associations.append(kt_st_assoc)
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# # A kit contains multiple reagent types.
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# for r in kit_dict['reagent_types']:
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# logger.debug(f"Constructing reagent type: {r}")
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# rtname = massage_common_reagents(r['rtname'])
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# look_up = lookup_reagent_types(name=rtname)
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# if look_up == None:
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# rt = models.ReagentType(name=rtname.strip(), eol_ext=timedelta(30*r['eol']))
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# else:
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# rt = look_up
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# uses = {kit_dict['used_for']:{k:v for k,v in r.items() if k not in ['eol']}}
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# assoc = models.KitTypeReagentTypeAssociation(kit_type=kit, reagent_type=rt, uses=uses)
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# # ctx.database_session.add(rt)
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# store_object(ctx=ctx, object=rt)
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# kit.kit_reagenttype_associations.append(assoc)
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# logger.debug(f"Kit construction reagent type: {rt.__dict__}")
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# logger.debug(f"Kit construction kit: {kit.__dict__}")
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# store_object(ctx=ctx, object=kit)
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# return {'code':0, 'message':'Kit has been added', 'status': 'information'}
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# @check_authorization
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# def construct_org_from_yaml(ctx:Settings, org:dict) -> dict:
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# """
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# Create and store a new organization based on a .yml file
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# Args:
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# ctx (Settings): Context object passed down from frontend
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# org (dict): Dictionary containing organization info.
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# Returns:
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# dict: dictionary containing results of db addition
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# """
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# # from tools import check_is_power_user
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# # # Don't want just anyone adding in clients
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# # if not check_is_power_user(ctx=ctx):
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# # logger.debug(f"{getuser()} does not have permission to add kits.")
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# # return {'code':1, 'message':"This user does not have permission to add organizations."}
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# # the yml can contain multiple clients
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# for client in org:
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# cli_org = models.Organization(name=client.replace(" ", "_").lower(), cost_centre=org[client]['cost centre'])
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# # a client can contain multiple contacts
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# for contact in org[client]['contacts']:
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# cont_name = list(contact.keys())[0]
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# # check if contact already exists
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# look_up = ctx.database_session.query(models.Contact).filter(models.Contact.name==cont_name).first()
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# if look_up == None:
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# cli_cont = models.Contact(name=cont_name, phone=contact[cont_name]['phone'], email=contact[cont_name]['email'], organization=[cli_org])
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# else:
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# cli_cont = look_up
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# cli_cont.organization.append(cli_org)
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# ctx.database_session.add(cli_cont)
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# logger.debug(f"Client creation contact: {cli_cont.__dict__}")
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# logger.debug(f"Client creation client: {cli_org.__dict__}")
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# ctx.database_session.add(cli_org)
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# ctx.database_session.commit()
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# return {"code":0, "message":"Organization has been added."}
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@@ -141,7 +141,10 @@ def lookup_reagent_types(ctx:Settings,
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# logger.debug(f"Reagent reagent types: {reagent._sa_instance_state}")
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result = list(set(kit_type.reagent_types).intersection(reagent.type))
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logger.debug(f"Result: {result}")
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return result[0]
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try:
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return result[0]
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except IndexError:
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return result
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match name:
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case str():
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logger.debug(f"Looking up reagent type by name: {name}")
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@@ -249,7 +252,7 @@ def lookup_submissions(ctx:Settings,
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if chronologic:
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# query.order_by(models.BasicSubmission.submitted_date)
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query.order_by(model.submitted_date)
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logger.debug(f"At the end of the search, the query gets: {query.all()}")
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# logger.debug(f"At the end of the search, the query gets: {query.all()}")
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return query_return(query=query, limit=limit)
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def lookup_submission_type(ctx:Settings,
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@@ -1,6 +1,7 @@
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'''
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Contains convenience functions for using database
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'''
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import sys
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from tools import Settings
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from .lookups import *
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import pandas as pd
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@@ -13,6 +14,8 @@ from sqlalchemy.exc import OperationalError as AlcOperationalError, IntegrityErr
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from sqlite3 import OperationalError as SQLOperationalError, IntegrityError as SQLIntegrityError
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from pprint import pformat
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import logging
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from backend.validators import pydant
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logger = logging.getLogger(f"submissions.{__name__}")
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@@ -172,7 +175,7 @@ def update_ww_sample(ctx:Settings, sample_obj:dict) -> dict|None:
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result = store_object(ctx=ctx, object=assoc)
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return result
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def check_kit_integrity(sub:models.BasicSubmission|models.KitType, reagenttypes:list|None=None) -> dict|None:
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def check_kit_integrity(ctx:Settings, sub:models.BasicSubmission|models.KitType|pydant.PydSubmission, reagenttypes:list=[]) -> dict|None:
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"""
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Ensures all reagents expected in kit are listed in Submission
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@@ -185,20 +188,30 @@ def check_kit_integrity(sub:models.BasicSubmission|models.KitType, reagenttypes:
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"""
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logger.debug(type(sub))
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# What type is sub?
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reagenttypes = []
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# reagenttypes = []
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match sub:
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case pydant.PydSubmission():
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ext_kit = lookup_kit_types(ctx=ctx, name=sub.extraction_kit['value'])
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ext_kit_rtypes = [item.name for item in ext_kit.get_reagents(required=True, submission_type=sub.submission_type['value'])]
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reagenttypes = [item.type for item in sub.reagents]
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case models.BasicSubmission():
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# Get all required reagent types for this kit.
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ext_kit_rtypes = [item.name for item in sub.extraction_kit.get_reagents(required=True, submission_type=sub.submission_type_name)]
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# Overwrite function parameter reagenttypes
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for reagent in sub.reagents:
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logger.debug(f"For kit integrity, looking up reagent: {reagent}")
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try:
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rt = list(set(reagent.type).intersection(sub.extraction_kit.reagent_types))[0].name
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# rt = list(set(reagent.type).intersection(sub.extraction_kit.reagent_types))[0].name
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rt = lookup_reagent_types(ctx=ctx, kit_type=sub.extraction_kit, reagent=reagent)
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logger.debug(f"Got reagent type: {rt}")
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reagenttypes.append(rt)
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if isinstance(rt, models.ReagentType):
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reagenttypes.append(rt.name)
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except AttributeError as e:
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logger.error(f"Problem parsing reagents: {[f'{reagent.lot}, {reagent.type}' for reagent in sub.reagents]}")
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reagenttypes.append(reagent.type[0].name)
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except IndexError:
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logger.error(f"No intersection of {reagent} type {reagent.type} and {sub.extraction_kit.reagent_types}")
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raise ValueError(f"No intersection of {reagent} type {reagent.type} and {sub.extraction_kit.reagent_types}")
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case models.KitType():
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ext_kit_rtypes = [item.name for item in sub.get_reagents(required=True)]
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case _:
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@@ -248,7 +248,7 @@ class Reagent(Base):
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"expiry": place_holder.strftime("%Y-%m-%d")
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}
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def to_reagent_dict(self, extraction_kit:KitType=None) -> dict:
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def to_reagent_dict(self, extraction_kit:KitType|str=None) -> dict:
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"""
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Returns basic reagent dictionary.
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@@ -314,6 +314,7 @@ class SubmissionType(Base):
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name = Column(String(128), unique=True) #: name of submission type
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info_map = Column(JSON) #: Where basic information is found in the excel workbook corresponding to this type.
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instances = relationship("BasicSubmission", backref="submission_type")
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# regex = Column(String(512))
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submissiontype_kit_associations = relationship(
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"SubmissionTypeKitTypeAssociation",
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@@ -325,6 +326,7 @@ class SubmissionType(Base):
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def __repr__(self) -> str:
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return f"<SubmissionType({self.name})>"
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class SubmissionTypeKitTypeAssociation(Base):
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"""
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||||
|
||||
@@ -47,6 +47,7 @@ class BasicSubmission(Base):
|
||||
reagents = relationship("Reagent", back_populates="submissions", secondary=reagents_submissions) #: relationship to reagents
|
||||
reagents_id = Column(String, ForeignKey("_reagents.id", ondelete="SET NULL", name="fk_BS_reagents_id")) #: id of used reagents
|
||||
extraction_info = Column(JSON) #: unstructured output from the extraction table logger.
|
||||
pcr_info = Column(JSON) #: unstructured output from pcr table logger or user(Artic)
|
||||
run_cost = Column(FLOAT(2)) #: total cost of running the plate. Set from constant and mutable kit costs at time of creation.
|
||||
uploaded_by = Column(String(32)) #: user name of person who submitted the submission to the database.
|
||||
comment = Column(JSON)
|
||||
@@ -211,12 +212,12 @@ class BasicSubmission(Base):
|
||||
Calculate the number of columns in this submission
|
||||
|
||||
Returns:
|
||||
int: largest column number
|
||||
int: Number of unique columns.
|
||||
"""
|
||||
logger.debug(f"Here's the samples: {self.samples}")
|
||||
columns = [assoc.column for assoc in self.submission_sample_associations]
|
||||
columns = set([assoc.column for assoc in self.submission_sample_associations])
|
||||
logger.debug(f"Here are the columns for {self.rsl_plate_num}: {columns}")
|
||||
return max(columns)
|
||||
return len(columns)
|
||||
|
||||
def hitpick_plate(self, plate_number:int|None=None) -> list:
|
||||
"""
|
||||
@@ -281,7 +282,7 @@ class BasicSubmission(Base):
|
||||
Returns:
|
||||
dict: Updated sample dictionary
|
||||
"""
|
||||
logger.debug(f"Called {cls.__name__} sample parser")
|
||||
# logger.debug(f"Called {cls.__name__} sample parser")
|
||||
return input_dict
|
||||
|
||||
@classmethod
|
||||
@@ -461,7 +462,7 @@ class Wastewater(BasicSubmission):
|
||||
"""
|
||||
derivative submission type from BasicSubmission
|
||||
"""
|
||||
pcr_info = Column(JSON)
|
||||
# pcr_info = Column(JSON)
|
||||
ext_technician = Column(String(64))
|
||||
pcr_technician = Column(String(64))
|
||||
__mapper_args__ = {"polymorphic_identity": "Wastewater", "polymorphic_load": "inline"}
|
||||
@@ -570,13 +571,16 @@ class Wastewater(BasicSubmission):
|
||||
|
||||
@classmethod
|
||||
def get_regex(cls):
|
||||
return "(?P<Wastewater>RSL(?:-|_)?WW(?:-|_)?20\d{2}-?\d{2}-?\d{2}(?:(_|-)\d?(\D|$)R?\d?)?)"
|
||||
# return "(?P<Wastewater>RSL(?:-|_)?WW(?:-|_)?20\d{2}-?\d{2}-?\d{2}(?:(_|-)\d?(\D|$)R?\d?)?)"
|
||||
# return "(?P<Wastewater>RSL(?:-|_)?WW(?:-|_)?20\d{2}-?\d{2}-?\d{2}(?:(_|-)\d?([^_|\D]|$)R?\d?)?)"
|
||||
return "(?P<Wastewater>RSL(?:-|_)?WW(?:-|_)?20\d{2}-?\d{2}-?\d{2}(?:(_|-)?\d?([^_0123456789]|$)R?\d?)?)"
|
||||
|
||||
class WastewaterArtic(BasicSubmission):
|
||||
"""
|
||||
derivative submission type for artic wastewater
|
||||
"""
|
||||
__mapper_args__ = {"polymorphic_identity": "Wastewater Artic", "polymorphic_load": "inline"}
|
||||
artic_technician = Column(String(64))
|
||||
|
||||
def calculate_base_cost(self):
|
||||
"""
|
||||
@@ -752,7 +756,7 @@ class BasicSample(Base):
|
||||
|
||||
@classmethod
|
||||
def parse_sample(cls, input_dict:dict) -> dict:
|
||||
logger.debug(f"Called {cls.__name__} sample parser")
|
||||
# logger.debug(f"Called {cls.__name__} sample parser")
|
||||
return input_dict
|
||||
|
||||
class WastewaterSample(BasicSample):
|
||||
|
||||
Reference in New Issue
Block a user