Source code for camcops_server.tasks.hama

#!/usr/bin/env python
# camcops_server/tasks/hama.py

"""
===============================================================================

    Copyright (C) 2012-2018 Rudolf Cardinal (rudolf@pobox.com).

    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 <http://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_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 (
    get_from_dict,
    Task,
    TaskHasClinicianMixin,
    TaskHasPatientMixin,
)
from camcops_server.cc_modules.cc_trackerhelpers import (
    TrackerInfo,
    TrackerLabel,
)


# =============================================================================
# HAM-A
# =============================================================================

class HamaMetaclass(DeclarativeMeta):
    # noinspection PyInitNewSignature
    def __init__(cls: Type['Hama'],
                 name: str,
                 bases: Tuple[Type, ...],
                 classdict: Dict[str, Any]) -> None:
        add_multiple_columns(
            cls, "q", 1, cls.NQUESTIONS,
            comment_fmt="Q{n}, {s} (0-4, higher worse)",
            minimum=0, maximum=4,
            comment_strings=[
                "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): __tablename__ = "hama" shortname = "HAM-A" longname = "Hamilton Rating Scale for Anxiety" provides_trackers = True NQUESTIONS = 14 TASK_FIELDS = strseq("q", 1, NQUESTIONS) MAX_SCORE = 56
[docs] def get_trackers(self, req: CamcopsRequest) -> List[TrackerInfo]: return [TrackerInfo( value=self.total_score(), plot_label="HAM-A total score", axis_label="Total score (out of {})".format(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.wappstring("very_severe")), TrackerLabel(27.5, req.wappstring("moderate_to_severe")), TrackerLabel(21, req.wappstring("mild_to_moderate")), TrackerLabel(8.75, req.wappstring("mild")), ] )]
[docs] def get_clinical_text(self, req: CamcopsRequest) -> List[CtvInfo]: if not self.is_complete(): return CTV_INCOMPLETE return [CtvInfo( content="HAM-A total score {}/{} ({})".format( self.total_score(), self.MAX_SCORE, 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="Total score (/{})".format(self.MAX_SCORE)), SummaryElement(name="severity", coltype=SummaryCategoryColType, value=self.severity(req), comment="Severity"), ]
[docs] def is_complete(self) -> bool: return ( self.are_all_fields_complete(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.wappstring("very_severe") elif score >= 25: return req.wappstring("moderate_to_severe") elif score >= 18: return req.wappstring("mild_to_moderate") else: return req.wappstring("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) h = """ <div class="summary"> <table class="summary"> """ + self.get_is_complete_tr(req) h += tr(req.wappstring("total_score"), answer(score) + " / {}".format(self.MAX_SCORE)) h += tr_qa(self.wxstring(req, "symptom_severity") + " <sup>[1]</sup>", severity) h += """ </table> </div> <table class="taskdetail"> <tr> <th width="50%">Question</th> <th width="50%">Answer</th> </tr> """ for q in range(1, self.NQUESTIONS + 1): h += 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))) ) h += """ </table> <div class="footnotes"> [1] ≥31 very severe, ≥25 moderate to severe, ≥18 mild to moderate, otherwise mild. </div> """ return h