Source code for camcops_server.tasks.bprs

#!/usr/bin/env python

"""
camcops_server/tasks/bprs.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 Integer

from camcops_server.cc_modules.cc_constants import CssClass
from camcops_server.cc_modules.cc_ctvinfo import CtvInfo, CTV_INCOMPLETE
from camcops_server.cc_modules.cc_db import add_multiple_columns
from camcops_server.cc_modules.cc_html import answer, 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,
    TaskHasClinicianMixin,
    TaskHasPatientMixin,
)
from camcops_server.cc_modules.cc_text import SS
from camcops_server.cc_modules.cc_trackerhelpers import TrackerInfo


# =============================================================================
# BPRS
# =============================================================================


class BprsMetaclass(DeclarativeMeta):
    # noinspection PyInitNewSignature
    def __init__(
        cls: Type["Bprs"],
        name: str,
        bases: Tuple[Type, ...],
        classdict: Dict[str, Any],
    ) -> None:
        add_multiple_columns(
            cls,
            "q",
            1,
            cls.NQUESTIONS,
            minimum=0,
            maximum=7,
            comment_fmt="Q{n}, {s} (1-7, higher worse, 0 for unable to rate)",
            comment_strings=[
                "somatic concern",
                "anxiety",
                "emotional withdrawal",
                "conceptual disorganisation",
                "guilt",
                "tension",
                "mannerisms/posturing",
                "grandiosity",
                "depressive mood",
                "hostility",
                "suspiciousness",
                "hallucinatory behaviour",
                "motor retardation",
                "uncooperativeness",
                "unusual thought content",
                "blunted affect",
                "excitement",
                "disorientation",
                "severity of illness",
                "global improvement",
            ],
        )
        super().__init__(name, bases, classdict)


[docs]class Bprs( TaskHasPatientMixin, TaskHasClinicianMixin, Task, metaclass=BprsMetaclass ): """ Server implementation of the BPRS task. """ __tablename__ = "bprs" shortname = "BPRS" provides_trackers = True NQUESTIONS = 20 TASK_FIELDS = strseq("q", 1, NQUESTIONS) SCORED_FIELDS = [x for x in TASK_FIELDS if (x != "q19" and x != "q20")] MAX_SCORE = 126
[docs] @staticmethod def longname(req: "CamcopsRequest") -> str: _ = req.gettext return _("Brief Psychiatric Rating Scale")
[docs] def get_trackers(self, req: CamcopsRequest) -> List[TrackerInfo]: return [ TrackerInfo( value=self.total_score(), plot_label="BPRS 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 return [ CtvInfo( content=f"BPRS total score " f"{self.total_score()}/{self.MAX_SCORE}" ) ]
[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})", ) ]
[docs] def is_complete(self) -> bool: return ( self.all_fields_not_none(Bprs.TASK_FIELDS) and self.field_contents_valid() )
def total_score(self) -> int: return self.sum_fields(Bprs.SCORED_FIELDS, ignorevalues=[0, None]) # "0" means "not rated" # noinspection PyUnresolvedReferences
[docs] def get_task_html(self, req: CamcopsRequest) -> str: main_dict = { None: None, 0: "0 — " + self.wxstring(req, "old_option0"), 1: "1 — " + self.wxstring(req, "old_option1"), 2: "2 — " + self.wxstring(req, "old_option2"), 3: "3 — " + self.wxstring(req, "old_option3"), 4: "4 — " + self.wxstring(req, "old_option4"), 5: "5 — " + self.wxstring(req, "old_option5"), 6: "6 — " + self.wxstring(req, "old_option6"), 7: "7 — " + self.wxstring(req, "old_option7"), } q19_dict = { None: None, 1: self.wxstring(req, "q19_option1"), 2: self.wxstring(req, "q19_option2"), 3: self.wxstring(req, "q19_option3"), 4: self.wxstring(req, "q19_option4"), 5: self.wxstring(req, "q19_option5"), 6: self.wxstring(req, "q19_option6"), 7: self.wxstring(req, "q19_option7"), } q20_dict = { None: None, 0: self.wxstring(req, "q20_option0"), 1: self.wxstring(req, "q20_option1"), 2: self.wxstring(req, "q20_option2"), 3: self.wxstring(req, "q20_option3"), 4: self.wxstring(req, "q20_option4"), 5: self.wxstring(req, "q20_option5"), 6: self.wxstring(req, "q20_option6"), 7: self.wxstring(req, "q20_option7"), } q_a = "" for i in range(1, Bprs.NQUESTIONS - 1): # only does 1-18 q_a += tr_qa( self.wxstring(req, "q" + str(i) + "_title"), get_from_dict(main_dict, getattr(self, "q" + str(i))), ) q_a += tr_qa( self.wxstring(req, "q19_title"), get_from_dict(q19_dict, self.q19) ) q_a += tr_qa( self.wxstring(req, "q20_title"), get_from_dict(q20_dict, self.q20) ) total_score = tr( req.sstring(SS.TOTAL_SCORE) + f" (0–{self.MAX_SCORE}; 18–{self.MAX_SCORE} if all rated) " "<sup>[1]</sup>", answer(self.total_score()), ) return f""" <div class="{CssClass.SUMMARY}"> <table class="{CssClass.SUMMARY}"> {self.get_is_complete_tr(req)} {total_score} </table> </div> <div class="{CssClass.EXPLANATION}"> Ratings pertain to the past week, or behaviour during interview. Each question has specific answer definitions (see e.g. tablet app). </div> <table class="{CssClass.TASKDETAIL}"> <tr> <th width="60%">Question</th> <th width="40%">Answer <sup>[2]</sup></th> </tr> {q_a} </table> <div class="{CssClass.FOOTNOTES}"> [1] Only questions 1–18 are scored. [2] All answers are in the range 1–7, or 0 (not assessed, for some). </div> """
[docs] def get_snomed_codes(self, req: CamcopsRequest) -> List[SnomedExpression]: codes = [SnomedExpression(req.snomed(SnomedLookup.BPRS1962_SCALE))] return codes