#!/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_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 (
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)
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)))
)
h = """
<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.wappstring("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,
)
return h