Source code for camcops_server.tasks.wsas

#!/usr/bin/env python

"""
camcops_server/tasks/wsas.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.schema import Column
from sqlalchemy.sql.sqltypes import Boolean, Integer

from camcops_server.cc_modules.cc_constants import (
    CssClass,
    DATA_COLLECTION_UNLESS_UPGRADED_DIV,
)
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_true_false, 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_string import AS
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_trackerhelpers import TrackerInfo


# =============================================================================
# WSAS
# =============================================================================


class WsasMetaclass(DeclarativeMeta):
    # noinspection PyInitNewSignature
    def __init__(
        cls: Type["Wsas"],
        name: str,
        bases: Tuple[Type, ...],
        classdict: Dict[str, Any],
    ) -> None:
        add_multiple_columns(
            cls,
            "q",
            1,
            cls.NQUESTIONS,
            minimum=cls.MIN_PER_Q,
            maximum=cls.MAX_PER_Q,
            comment_fmt="Q{n}, {s} (0-4, higher worse)",
            comment_strings=[
                "work",
                "home management",
                "social leisure",
                "private leisure",
                "relationships",
            ],
        )
        super().__init__(name, bases, classdict)


[docs]class Wsas(TaskHasPatientMixin, Task, metaclass=WsasMetaclass): """ Server implementation of the WSAS task. """ __tablename__ = "wsas" shortname = "WSAS" provides_trackers = True retired_etc = Column( "retired_etc", Boolean, comment="Retired or choose not to have job for reason unrelated " "to problem", ) MIN_PER_Q = 0 MAX_PER_Q = 8 NQUESTIONS = 5 QUESTION_FIELDS = strseq("q", 1, NQUESTIONS) Q2_TO_END = strseq("q", 2, NQUESTIONS) TASK_FIELDS = QUESTION_FIELDS + ["retired_etc"] MAX_IF_WORKING = MAX_PER_Q * NQUESTIONS MAX_IF_RETIRED = MAX_PER_Q * (NQUESTIONS - 1)
[docs] @staticmethod def longname(req: "CamcopsRequest") -> str: _ = req.gettext return _("Work and Social Adjustment Scale")
[docs] def get_trackers(self, req: CamcopsRequest) -> List[TrackerInfo]: return [ TrackerInfo( value=self.total_score(), plot_label="WSAS total score (lower is better)", axis_label=f"Total score (out of " f"{self.MAX_IF_RETIRED}{self.MAX_IF_WORKING})", axis_min=-0.5, axis_max=self.MAX_IF_WORKING + 0.5, ) ]
[docs] def get_summaries(self, req: CamcopsRequest) -> List[SummaryElement]: return self.standard_task_summary_fields() + [ SummaryElement( name="total_score", coltype=Integer(), value=self.total_score(), comment=f"Total score (/ {self.max_score()})", ) ]
[docs] def get_clinical_text(self, req: CamcopsRequest) -> List[CtvInfo]: if not self.is_complete(): return CTV_INCOMPLETE return [ CtvInfo( content=f"WSAS total score " f"{self.total_score()}/{self.max_score()}" ) ]
def total_score(self) -> int: return self.sum_fields( self.Q2_TO_END if self.retired_etc else self.QUESTION_FIELDS ) def max_score(self) -> int: return self.MAX_IF_RETIRED if self.retired_etc else self.MAX_IF_WORKING
[docs] def is_complete(self) -> bool: return ( self.all_fields_not_none( self.Q2_TO_END if self.retired_etc else self.QUESTION_FIELDS ) and self.field_contents_valid() )
[docs] def get_task_html(self, req: CamcopsRequest) -> str: option_dict = {None: None} for a in range(self.MIN_PER_Q, self.MAX_PER_Q + 1): option_dict[a] = req.wappstring(AS.WSAS_A_PREFIX + str(a)) q_a = "" for q in range(1, self.NQUESTIONS + 1): a = getattr(self, "q" + str(q)) fa = get_from_dict(option_dict, a) if a is not None else None q_a += tr(self.wxstring(req, "q" + str(q)), answer(fa)) return f""" <div class="{CssClass.SUMMARY}"> <table class="{CssClass.SUMMARY}"> {self.get_is_complete_tr(req)} <tr> <td>Total score</td> <td>{answer(self.total_score())} / 40</td> </td> </table> </div> <table class="{CssClass.TASKDETAIL}"> <tr> <th width="75%">Question</th> <th width="25%">Answer</th> </tr> {tr_qa(self.wxstring(req, "q_retired_etc"), get_true_false(req, self.retired_etc))} </table> <table class="{CssClass.TASKDETAIL}"> <tr> <th width="75%">Question</th> <th width="25%">Answer (0–8)</th> </tr> {q_a} </table> {DATA_COLLECTION_UNLESS_UPGRADED_DIV} """
# noinspection PyUnresolvedReferences
[docs] def get_snomed_codes(self, req: CamcopsRequest) -> List[SnomedExpression]: codes = [ SnomedExpression( req.snomed(SnomedLookup.WSAS_PROCEDURE_ASSESSMENT) ) ] if self.is_complete(): d = { req.snomed(SnomedLookup.WSAS_SCORE): self.total_score(), req.snomed(SnomedLookup.WSAS_HOME_MANAGEMENT_SCORE): self.q2, req.snomed(SnomedLookup.WSAS_SOCIAL_LEISURE_SCORE): self.q3, req.snomed(SnomedLookup.WSAS_PRIVATE_LEISURE_SCORE): self.q4, req.snomed(SnomedLookup.WSAS_RELATIONSHIPS_SCORE): self.q5, } if not self.retired_etc: d[req.snomed(SnomedLookup.WSAS_WORK_SCORE)] = self.q1 codes.append( SnomedExpression(req.snomed(SnomedLookup.WSAS_SCALE), d) ) return codes