"""
camcops_server/tasks/shaps.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/>.
===============================================================================
**Snaith–Hamilton Pleasure Scale (SHAPS) task.**
"""
from typing import Any, Dict, List, Type, Tuple
from cardinal_pythonlib.stringfunc import strseq
from sqlalchemy import Integer
from sqlalchemy.ext.declarative import DeclarativeMeta
from camcops_server.cc_modules.cc_constants import CssClass
from camcops_server.cc_modules.cc_db import add_multiple_columns
from camcops_server.cc_modules.cc_html import tr_qa, tr, answer
from camcops_server.cc_modules.cc_request import CamcopsRequest
from camcops_server.cc_modules.cc_summaryelement import SummaryElement
from camcops_server.cc_modules.cc_task import (
get_from_dict,
TaskHasPatientMixin,
Task,
)
from camcops_server.cc_modules.cc_text import SS
class ShapsMetaclass(DeclarativeMeta):
# noinspection PyInitNewSignature
def __init__(
cls: Type["Shaps"],
name: str,
bases: Tuple[Type, ...],
classdict: Dict[str, Any],
) -> None:
add_multiple_columns(
cls,
"q",
1,
cls.N_QUESTIONS,
minimum=0,
maximum=3,
comment_fmt="Q{n} - {s}",
comment_strings=[
"television",
"family",
"hobbies",
"meal",
"bath",
"flowers",
"smiling",
"smart",
"book",
"tea",
"sunny",
"landscape",
"helping",
"praise",
],
)
super().__init__(name, bases, classdict)
[docs]class Shaps(TaskHasPatientMixin, Task, metaclass=ShapsMetaclass):
__tablename__ = "shaps"
shortname = "SHAPS"
N_QUESTIONS = 14
MAX_SCORE = 14
ALL_QUESTIONS = strseq("q", 1, N_QUESTIONS)
STRONGLY_DISAGREE = 0
DISAGREE = 1
AGREE = 2
STRONGLY_OR_DEFINITELY_AGREE = 3
# Q11 in British Journal of Psychiatry (1995), 167, 99-103
# actually has two "Strongly disagree" options. Assuming this
# is not intentional!
REVERSE_QUESTIONS = {2, 4, 5, 7, 9, 12, 14}
[docs] @staticmethod
def longname(req: "CamcopsRequest") -> str:
_ = req.gettext
return _("Snaith–Hamilton Pleasure Scale")
[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:
if self.any_fields_none(self.ALL_QUESTIONS):
return False
if not self.field_contents_valid():
return False
return True
def total_score(self) -> int:
# Consistent with client implementation
return self.count_where(
self.ALL_QUESTIONS, [self.STRONGLY_DISAGREE, self.DISAGREE]
)
[docs] def get_task_html(self, req: CamcopsRequest) -> str:
strongly_disagree = self.wxstring(req, "strongly_disagree")
disagree = self.wxstring(req, "disagree")
agree = self.wxstring(req, "agree")
# We store the actual answers given but these are scored 1 or 0
forward_answer_dict = {
None: None,
self.STRONGLY_DISAGREE: "1 — " + strongly_disagree,
self.DISAGREE: "1 — " + disagree,
self.AGREE: "0 — " + agree,
self.STRONGLY_OR_DEFINITELY_AGREE: "0 — "
+ self.wxstring(req, "strongly_agree"),
}
# Subtle difference in wording when options presented in reverse
reverse_answer_dict = {
None: None,
self.STRONGLY_OR_DEFINITELY_AGREE: "0 — "
+ self.wxstring(req, "definitely_agree"),
self.AGREE: "0 — " + agree,
self.DISAGREE: "1 — " + disagree,
self.STRONGLY_DISAGREE: "1 — " + strongly_disagree,
}
rows = ""
for q_num in range(1, self.N_QUESTIONS + 1):
q_field = "q" + str(q_num)
question_cell = "{}. {}".format(q_num, self.wxstring(req, q_field))
answer_dict = forward_answer_dict
if q_num in self.REVERSE_QUESTIONS:
answer_dict = reverse_answer_dict
answer_cell = get_from_dict(answer_dict, getattr(self, q_field))
rows += tr_qa(question_cell, answer_cell)
html = """
<div class="{CssClass.SUMMARY}">
<table class="{CssClass.SUMMARY}">
{tr_is_complete}
{total_score}
</table>
</div>
<table class="{CssClass.TASKDETAIL}">
<tr>
<th width="60%">Question</th>
<th width="40%">Answer</th>
</tr>
{rows}
</table>
<div class="{CssClass.FOOTNOTES}">
[1] Score 1 point for either ‘disagree’ option,
0 points for either ‘agree’ option.
</div>
""".format(
CssClass=CssClass,
tr_is_complete=self.get_is_complete_tr(req),
total_score=tr(
req.sstring(SS.TOTAL_SCORE) + " <sup>[1]</sup>",
"{} / {}".format(answer(self.total_score()), self.MAX_SCORE),
),
rows=rows,
)
return html