Source code for camcops_server.tasks.hama

#!/usr/bin/env python



    Copyright (C) 2012-2020 Rudolf Cardinal ([email protected]).

    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
    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 <>.



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_sqla_coltypes import SummaryCategoryColType
from camcops_server.cc_modules.cc_summaryelement import SummaryElement
from camcops_server.cc_modules.cc_task import (
from camcops_server.cc_modules.cc_text import SS
from camcops_server.cc_modules.cc_trackerhelpers import (

# =============================================================================
# =============================================================================

class HamaMetaclass(DeclarativeMeta):
    # noinspection PyInitNewSignature
    def __init__(cls: Type['Hama'],
                 name: str,
                 bases: Tuple[Type, ...],
                 classdict: Dict[str, Any]) -> None:
            cls, "q", 1, cls.NQUESTIONS,
            comment_fmt="Q{n}, {s} (0-4, higher worse)",
            minimum=0, maximum=4,
                "anxious mood", "tension", "fears", "insomnia",
                "concentration/memory", "depressed mood", "somatic, muscular",
                "somatic, sensory", "cardiovascular", "respiratory",
                "gastrointestinal", "genitourinary", "other autonomic",
                "behaviour in interview"
        super().__init__(name, bases, classdict)

[docs]class Hama(TaskHasPatientMixin, TaskHasClinicianMixin, Task, metaclass=HamaMetaclass): """ Server implementation of the HAM-A task. """ __tablename__ = "hama" shortname = "HAM-A" provides_trackers = True NQUESTIONS = 14 TASK_FIELDS = strseq("q", 1, NQUESTIONS) MAX_SCORE = 56
[docs] @staticmethod def longname(req: "CamcopsRequest") -> str: _ = req.gettext return _("Hamilton Rating Scale for Anxiety")
[docs] def get_trackers(self, req: CamcopsRequest) -> List[TrackerInfo]: return [TrackerInfo( value=self.total_score(), plot_label="HAM-A total score", axis_label=f"Total score (out of {self.MAX_SCORE})", axis_min=-0.5, axis_max=self.MAX_SCORE + 0.5, horizontal_lines=[30.5, 24.5, 17.5], horizontal_labels=[ TrackerLabel(33, req.sstring(SS.VERY_SEVERE)), TrackerLabel(27.5, req.sstring(SS.MODERATE_TO_SEVERE)), TrackerLabel(21, req.sstring(SS.MILD_TO_MODERATE)), TrackerLabel(8.75, req.sstring(SS.MILD)), ] )]
[docs] def get_clinical_text(self, req: CamcopsRequest) -> List[CtvInfo]: if not self.is_complete(): return CTV_INCOMPLETE return [CtvInfo(content=( f"HAM-A total score {self.total_score()}/{self.MAX_SCORE} " f"({self.severity(req)})" ))]
[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="severity", coltype=SummaryCategoryColType, value=self.severity(req), comment="Severity"), ]
[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) def severity(self, req: CamcopsRequest) -> str: score = self.total_score() if score >= 31: return req.sstring(SS.VERY_SEVERE) elif score >= 25: return req.sstring(SS.MODERATE_TO_SEVERE) elif score >= 18: return req.sstring(SS.MILD_TO_MODERATE) else: return req.sstring(SS.MILD)
[docs] def get_task_html(self, req: CamcopsRequest) -> str: score = self.total_score() severity = self.severity(req) answer_dicts = [] for q in range(1, self.NQUESTIONS + 1): d = {None: None} for option in range(0, 4 + 1): d[option] = self.wxstring(req, "q" + str(q) + "_option" + str(option)) answer_dicts.append(d) q_a = "" for q in range(1, self.NQUESTIONS + 1): q_a += tr_qa( self.wxstring(req, "q" + str(q) + "_s") + " " + self.wxstring(req, "q" + str(q) + "_question"), get_from_dict(answer_dicts[q - 1], getattr(self, "q" + str(q))) ) return """ <div class="{CssClass.SUMMARY}"> <table class="{CssClass.SUMMARY}"> {tr_is_complete} {total_score} {symptom_severity} </table> </div> <table class="{CssClass.TASKDETAIL}"> <tr> <th width="50%">Question</th> <th width="50%">Answer</th> </tr> {q_a} </table> <div class="{CssClass.FOOTNOTES}"> [1] ≥31 very severe, ≥25 moderate to severe, ≥18 mild to moderate, otherwise mild. </div> """.format( CssClass=CssClass, tr_is_complete=self.get_is_complete_tr(req), total_score=tr( req.sstring(SS.TOTAL_SCORE), answer(score) + " / {}".format(self.MAX_SCORE) ), symptom_severity=tr_qa( self.wxstring(req, "symptom_severity") + " <sup>[1]</sup>", severity ), q_a=q_a, )