"""
camcops_server/tasks/smast.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, List, Type
from cardinal_pythonlib.stringfunc import strseq
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_sqla_coltypes import (
CharColType,
SummaryCategoryColType,
)
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_text import SS
from camcops_server.cc_modules.cc_trackerhelpers import (
TrackerLabel,
TrackerInfo,
)
# =============================================================================
# SMAST
# =============================================================================
[docs]class Smast( # type: ignore[misc]
TaskHasPatientMixin,
Task,
):
"""
Server implementation of the SMAST task.
"""
__tablename__ = "smast"
shortname = "SMAST"
info_filename_stem = "mast"
provides_trackers = True
NQUESTIONS = 13
@classmethod
def extend_columns(cls: Type["Smast"], **kwargs: Any) -> None:
add_multiple_columns(
cls,
"q",
1,
cls.NQUESTIONS,
CharColType,
pv=["Y", "N"],
comment_fmt="Q{n}: {s} (Y or N)",
comment_strings=[
"believe you are a normal drinker",
"near relative worries/complains",
"feel guilty",
"friends/relative think you are a normal drinker",
"stop when you want to",
"ever attended Alcoholics Anonymous",
"problems with close relative",
"trouble at work",
"neglected obligations for >=2 days",
"sought help",
"hospitalized",
"arrested for drink-driving",
"arrested for other drunken behaviour",
],
)
TASK_FIELDS = strseq("q", 1, NQUESTIONS)
[docs] @staticmethod
def longname(req: "CamcopsRequest") -> str:
_ = req.gettext
return _("Short Michigan Alcohol Screening Test")
[docs] def get_trackers(self, req: CamcopsRequest) -> List[TrackerInfo]:
return [
TrackerInfo(
value=self.total_score(),
plot_label="SMAST total score",
axis_label=f"Total score (out of {self.NQUESTIONS})",
axis_min=-0.5,
axis_max=self.NQUESTIONS + 0.5,
horizontal_lines=[2.5, 1.5],
horizontal_labels=[
TrackerLabel(4, self.wxstring(req, "problem_probable")),
TrackerLabel(2, self.wxstring(req, "problem_possible")),
TrackerLabel(0.75, self.wxstring(req, "problem_unlikely")),
],
)
]
[docs] def get_clinical_text(self, req: CamcopsRequest) -> List[CtvInfo]:
if not self.is_complete():
return CTV_INCOMPLETE
return [
CtvInfo(
content=(
f"SMAST total score "
f"{self.total_score()}/{self.NQUESTIONS} "
f"({self.likelihood(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.NQUESTIONS})",
),
SummaryElement(
name="likelihood",
coltype=SummaryCategoryColType,
value=self.likelihood(req),
comment="Likelihood of problem",
),
]
[docs] def is_complete(self) -> bool:
return (
self.all_fields_not_none(self.TASK_FIELDS)
and self.field_contents_valid()
)
def get_score(self, q: int) -> int:
yes = "Y"
value = getattr(self, "q" + str(q))
if value is None:
return 0
if q == 1 or q == 4 or q == 5:
return 0 if value == yes else 1
else:
return 1 if value == yes else 0
def total_score(self) -> int:
total = 0
for q in range(1, self.NQUESTIONS + 1):
total += self.get_score(q)
return total
def likelihood(self, req: CamcopsRequest) -> str:
score = self.total_score()
if score >= 3:
return self.wxstring(req, "problem_probable")
elif score >= 2:
return self.wxstring(req, "problem_possible")
else:
return self.wxstring(req, "problem_unlikely")
[docs] def get_task_html(self, req: CamcopsRequest) -> str:
score = self.total_score()
likelihood = self.likelihood(req)
main_dict = {
None: None,
"Y": req.sstring(SS.YES),
"N": req.sstring(SS.NO),
}
q_a = ""
for q in range(1, self.NQUESTIONS + 1):
q_a += tr(
self.wxstring(req, "q" + str(q)),
answer(get_from_dict(main_dict, getattr(self, "q" + str(q))))
+ " — "
+ str(self.get_score(q)),
)
h = """
<div class="{CssClass.SUMMARY}">
<table class="{CssClass.SUMMARY}">
{tr_is_complete}
{total_score}
{problem_likelihood}
</table>
</div>
<table class="{CssClass.TASKDETAIL}">
<tr>
<th width="80%">Question</th>
<th width="20%">Answer</th>
</tr>
{q_a}
</table>
<div class="{CssClass.FOOTNOTES}">
[1] Total score ≥3 probable, ≥2 possible, 0–1 unlikely.
</div>
""".format(
CssClass=CssClass,
tr_is_complete=self.get_is_complete_tr(req),
total_score=tr(
req.sstring(SS.TOTAL_SCORE),
answer(score) + f" / {self.NQUESTIONS}",
),
problem_likelihood=tr_qa(
self.wxstring(req, "problem_likelihood") + " <sup>[1]</sup>",
likelihood,
),
q_a=q_a,
)
return h
[docs] def get_snomed_codes(self, req: CamcopsRequest) -> List[SnomedExpression]:
if not self.is_complete():
return []
return [SnomedExpression(req.snomed(SnomedLookup.SMAST_SCALE))]