Source code for camcops_server.tasks.fast

"""
camcops_server/tasks/fast.py

===============================================================================

    Copyright (C) 2012, University of Cambridge, Department of Psychiatry.
    Created by Rudolf Cardinal (rnc1001@cam.ac.uk).

    This file is part of CamCOPS.

    CamCOPS is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    CamCOPS is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with CamCOPS. If not, see <https://www.gnu.org/licenses/>.

===============================================================================

"""

from typing import Any, Dict, List, Tuple, Type

from cardinal_pythonlib.stringfunc import strseq
from sqlalchemy.ext.declarative import DeclarativeMeta
from sqlalchemy.sql.sqltypes import Boolean, Integer

from camcops_server.cc_modules.cc_constants import CssClass
from camcops_server.cc_modules.cc_ctvinfo import CTV_INCOMPLETE, CtvInfo
from camcops_server.cc_modules.cc_db import add_multiple_columns
from camcops_server.cc_modules.cc_html import answer, get_yes_no, tr, tr_qa
from camcops_server.cc_modules.cc_request import CamcopsRequest
from camcops_server.cc_modules.cc_snomed import SnomedExpression, SnomedLookup
from camcops_server.cc_modules.cc_summaryelement import SummaryElement
from camcops_server.cc_modules.cc_task import (
    get_from_dict,
    Task,
    TaskHasPatientMixin,
)
from camcops_server.cc_modules.cc_text import SS
from camcops_server.cc_modules.cc_trackerhelpers import TrackerInfo


# =============================================================================
# FAST
# =============================================================================


class FastMetaclass(DeclarativeMeta):
    # noinspection PyInitNewSignature
    def __init__(
        cls: Type["Fast"],
        name: str,
        bases: Tuple[Type, ...],
        classdict: Dict[str, Any],
    ) -> None:
        add_multiple_columns(
            cls,
            "q",
            1,
            cls.NQUESTIONS,
            minimum=0,
            maximum=4,
            comment_fmt="Q{n}. {s} (0-4, higher worse)",
            comment_strings=[
                "M>8, F>6 drinks",
                "unable to remember",
                "failed to do what was expected",
                "others concerned",
            ],
        )
        super().__init__(name, bases, classdict)


[docs]class Fast(TaskHasPatientMixin, Task, metaclass=FastMetaclass): """ Server implementation of the FAST task. """ __tablename__ = "fast" shortname = "FAST" NQUESTIONS = 4 TASK_FIELDS = strseq("q", 1, NQUESTIONS) MAX_SCORE = 16
[docs] @staticmethod def longname(req: "CamcopsRequest") -> str: _ = req.gettext return _("Fast Alcohol Screening Test")
[docs] def get_trackers(self, req: CamcopsRequest) -> List[TrackerInfo]: return [ TrackerInfo( value=self.total_score(), plot_label="FAST total score", axis_label=f"Total score (out of {self.MAX_SCORE})", axis_min=-0.5, axis_max=self.MAX_SCORE + 0.5, ) ]
[docs] def get_clinical_text(self, req: CamcopsRequest) -> List[CtvInfo]: if not self.is_complete(): return CTV_INCOMPLETE classification = "positive" if self.is_positive() else "negative" return [ CtvInfo( content=( f"FAST total score {self.total_score()}/{self.MAX_SCORE} " f"({classification})" ) ) ]
[docs] def get_summaries(self, req: CamcopsRequest) -> List[SummaryElement]: return self.standard_task_summary_fields() + [ SummaryElement( name="total", coltype=Integer(), value=self.total_score(), comment=f"Total score (/{self.MAX_SCORE})", ), SummaryElement( name="positive", coltype=Boolean(), value=self.is_positive(), comment="FAST positive?", ), ]
[docs] def is_complete(self) -> bool: return ( self.all_fields_not_none(self.TASK_FIELDS) and self.field_contents_valid() )
def total_score(self) -> int: return self.sum_fields(self.TASK_FIELDS) # noinspection PyUnresolvedReferences def is_positive(self) -> bool: if self.q1 is not None: if self.q1 == 0: return False if self.q1 >= 3: return True return self.total_score() >= 3 # noinspection PyUnresolvedReferences
[docs] def get_task_html(self, req: CamcopsRequest) -> str: main_dict = { None: None, 0: "0 — " + self.wxstring(req, "q1to3_option0"), 1: "1 — " + self.wxstring(req, "q1to3_option1"), 2: "2 — " + self.wxstring(req, "q1to3_option2"), 3: "3 — " + self.wxstring(req, "q1to3_option3"), 4: "4 — " + self.wxstring(req, "q1to3_option4"), } q4_dict = { None: None, 0: "0 — " + self.wxstring(req, "q4_option0"), 2: "2 — " + self.wxstring(req, "q4_option2"), 4: "4 — " + self.wxstring(req, "q4_option4"), } q_a = tr_qa( self.wxstring(req, "q1"), get_from_dict(main_dict, self.q1) ) q_a += tr_qa( self.wxstring(req, "q2"), get_from_dict(main_dict, self.q2) ) q_a += tr_qa( self.wxstring(req, "q3"), get_from_dict(main_dict, self.q3) ) q_a += tr_qa(self.wxstring(req, "q4"), get_from_dict(q4_dict, self.q4)) tr_total_score = tr( req.sstring(SS.TOTAL_SCORE), answer(self.total_score()) + f" / {self.MAX_SCORE}", ) tr_positive = tr_qa( self.wxstring(req, "positive") + " <sup>[1]</sup>", get_yes_no(req, self.is_positive()), ) return f""" <div class="{CssClass.SUMMARY}"> <table class="{CssClass.SUMMARY}"> {self.get_is_complete_tr(req)} {tr_total_score} {tr_positive} </table> </div> <table class="{CssClass.TASKDETAIL}"> <tr> <th width="60%">Question</th> <th width="40%">Answer</th> </tr> {q_a} </table> <div class="{CssClass.FOOTNOTES}"> [1] Negative if Q1 = 0. Positive if Q1 ≥ 3. Otherwise positive if total score ≥ 3. </div> """
[docs] def get_snomed_codes(self, req: CamcopsRequest) -> List[SnomedExpression]: codes = [ SnomedExpression( req.snomed(SnomedLookup.FAST_PROCEDURE_ASSESSMENT) ) ] if self.is_complete(): codes.append( SnomedExpression( req.snomed(SnomedLookup.FAST_SCALE), {req.snomed(SnomedLookup.FAST_SCORE): self.total_score()}, ) ) return codes