157 lines
5.8 KiB
Python
157 lines
5.8 KiB
Python
"""
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"""
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from __future__ import annotations
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import logging, re
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from pathlib import Path
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from typing import Generator, Tuple, TYPE_CHECKING
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from openpyxl.reader.excel import load_workbook
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from openpyxl.worksheet.worksheet import Worksheet
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from pandas import DataFrame
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from backend.validators import pydant
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if TYPE_CHECKING:
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from backend.db.models import ProcedureType
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logger = logging.getLogger(f"submissions.{__name__}")
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class DefaultParser(object):
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def __repr__(self):
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return f"{self.__class__.__name__}<{self.filepath.stem}>"
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def __new__(cls, *args, **kwargs):
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filepath = kwargs['filepath']
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if isinstance(filepath, str):
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filepath = Path(filepath)
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try:
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assert filepath.exists()
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except AssertionError:
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raise FileNotFoundError(f"File {filepath} does not exist.")
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instance = super().__new__(cls)
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instance.filepath = filepath
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return instance
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def __init__(self, filepath: Path | str, proceduretype: ProcedureType | None = None, range_dict: dict | None = None,
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*args, **kwargs):
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"""
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Args:
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filepath (Path|str): Must be given as a kwarg. eg. filepath=X
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procedure ():
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range_dict ():
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*args ():
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**kwargs ():
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"""
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logger.debug(f"\n\nHello from {self.__class__.__name__}\n\n")
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self.proceduretype = proceduretype
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try:
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self._pyd_object = getattr(pydant,
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f"Pyd{self.__class__.__name__.replace('Parser', '').replace('Info', '')}")
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except AttributeError as e:
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logger.error(
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f"Couldn't get pyd object: Pyd{self.__class__.__name__.replace('Parser', '').replace('Info', '')}, using {self.__class__.pyd_name}")
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self._pyd_object = getattr(pydant, self.__class__.pyd_name)
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self.workbook = load_workbook(self.filepath, data_only=True)
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if not range_dict:
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self.range_dict = self.__class__.default_range_dict
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else:
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self.range_dict = range_dict
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logger.debug(f"Default parser range dict: {self.range_dict}")
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for item in self.range_dict:
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item['worksheet'] = self.workbook[item['sheet']]
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def to_pydantic(self):
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# data = {key: value['value'] for key, value in self.parsed_info.items()}
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data = self.parsed_info
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data['filepath'] = self.filepath
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return self._pyd_object(**data)
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@classmethod
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def correct_procedure_type(cls, proceduretype: str | "ProcedureType"):
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from backend.db.models import ProcedureType
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if isinstance(proceduretype, str):
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proceduretype = ProcedureType.query(name=proceduretype)
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return proceduretype
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@classmethod
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def delineate_end_row(cls, worksheet: Worksheet, start_row: int = 1):
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for iii, row in enumerate(worksheet.iter_rows(min_row=start_row), start=1):
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if all([item.value is None for item in row]):
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return iii
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class DefaultKEYVALUEParser(DefaultParser):
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# default_range_dict = [dict(
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# start_row=2,
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# end_row=18,
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# key_column=1,
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# value_column=2,
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# sheet="Sample List"
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# )]
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# default_range_dict = [dict(sheet="Sample List", start_row=2)]
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@property
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def parsed_info(self):
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for item in self.range_dict:
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item['end_row'] = self.delineate_end_row(item['worksheet'], start_row=item['start_row'])
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rows = range(item['start_row'], item['end_row'])
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# item['start_row'] = item['end_row']
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# del item['end_row']
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for row in rows:
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key = item['worksheet'].cell(row, 1).value
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if key:
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# Note: Remove anything in brackets.
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key = re.sub(r"\(.*\)", "", key)
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key = key.lower().replace(":", "").strip().replace(" ", "_")
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value = item['worksheet'].cell(row, 2).value
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missing = False if value else True
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location_map = dict(row=row, key_column=1, value_column=2,
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sheet=item['sheet'])
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value = dict(value=value, location=location_map, missing=missing)
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logger.debug(f"Yielding {value} for {key}")
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yield key, value
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class DefaultTABLEParser(DefaultParser):
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default_range_dict = [dict(
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header_row=18,
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sheet="Sample List"
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)]
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@property
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def parsed_info(self) -> Generator[dict, None, None]:
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for item in self.range_dict:
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# list_worksheet = self.workbook[item['sheet']]
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list_worksheet = item['worksheet']
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if "end_row" in item.keys():
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list_df = DataFrame(
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[item for item in list_worksheet.values][item['header_row'] - 1:item['end_row'] - 1])
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else:
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list_df = DataFrame([item for item in list_worksheet.values][item['header_row'] - 1:])
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list_df.columns = list_df.iloc[0]
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list_df = list_df[1:]
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list_df = list_df.dropna(axis=1, how='all')
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for ii, row in enumerate(list_df.iterrows()):
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output = {}
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for key, value in row[1].to_dict().items():
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if isinstance(key, str):
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key = key.lower().replace(" ", "_")
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key = re.sub(r"_(\(.*\)|#)", "", key)
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# logger.debug(f"Row {ii} values: {key}: {value}")
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output[key] = value
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yield output
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def to_pydantic(self, **kwargs):
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return [self._pyd_object(**output) for output in self.parsed_info]
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from .clientsubmission_parser import ClientSubmissionSampleParser, ClientSubmissionInfoParser
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from backend.excel.parsers.results_parsers.pcr_results_parser import PCRInfoParser, PCRSampleParser
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