"""
camcops_server/tasks/paradise24.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/>.
===============================================================================
**PARADISE 24 task.**
"""
from typing import Any, Dict, Optional, Type, Tuple
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_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_task import TaskHasPatientMixin, Task
class Paradise24Metaclass(DeclarativeMeta):
def __init__(
cls: Type["Paradise24"],
name: str,
bases: Tuple[Type, ...],
classdict: Dict[str, Any],
) -> None:
add_multiple_columns(
cls,
cls.Q_PREFIX,
cls.FIRST_Q,
cls.LAST_Q,
coltype=Integer,
minimum=0,
maximum=2,
comment_fmt="Q{n} - {s}",
comment_strings=[
"rested 0-2 (none - a lot)",
"loss interest 0-2 (none - a lot)",
"appetite 0-2 (none - a lot)",
"sleeping 0-2 (none - a lot)",
"irritable 0-2 (none - a lot)",
"slowed down 0-2 (none - a lot)",
"sad 0-2 (none - a lot)",
"worry 0-2 (none - a lot)",
"cope 0-2 (none - a lot)",
"pain 0-2 (none - a lot)",
"concentrating 0-2 (none - a lot)",
"remembering 0-2 (none - a lot)",
"decisions 0-2 (none - a lot)",
"conversation 0-2 (none - a lot)",
"walking 0-2 (none - a lot)",
"grooming 0-2 (none - a lot)",
"sexual 0-2 (none - a lot)",
"staying by yourself 0-2 (none - a lot)",
"health 0-2 (none - a lot)",
"friendship 0-2 (none - a lot)",
"getting along 0-2 (none - a lot)",
"work or school 0-2 (none - a lot)",
"money 0-2 (none - a lot)",
"community 0-2 (none - a lot)",
],
)
super().__init__(name, bases, classdict)
[docs]class Paradise24(TaskHasPatientMixin, Task, metaclass=Paradise24Metaclass):
__tablename__ = "paradise24"
shortname = "PARADISE 24"
Q_PREFIX = "q"
FIRST_Q = 1
LAST_Q = 24
ALL_FIELD_NAMES = strseq(Q_PREFIX, FIRST_Q, LAST_Q)
[docs] @staticmethod
def longname(req: CamcopsRequest) -> str:
_ = req.gettext
return _(
"Psychosocial fActors Relevant to BrAin DISorders in Europe–24"
)
[docs] def is_complete(self) -> bool:
if self.any_fields_none(self.ALL_FIELD_NAMES):
return False
return True
def total_score(self) -> Optional[int]:
if not self.is_complete():
return None
return self.sum_fields(self.ALL_FIELD_NAMES)
def metric_score(self) -> Optional[int]:
total_score = self.total_score()
if total_score is None:
return None
# Table 3 of Cieza et al. (2015); see help.
# - doi:10.1371/journal.pone.0132410.t003
# - Indexes are raw scores.
# - Values are transformed scores.
score_lookup = [
0, # 0
10,
19,
25,
29,
33,
36,
38,
41,
43,
45, # 10
46,
48,
50,
51,
53,
54,
55,
57,
58,
59, # 20
60,
61,
63,
64,
65,
66,
67,
68,
69,
71, # 30
72,
73,
74,
76,
77,
78,
80,
81,
83,
85, # 40
87,
89,
91,
92,
94,
96,
98,
100, # 48
]
try:
return score_lookup[total_score]
except (IndexError, TypeError):
return None
[docs] def get_task_html(self, req: CamcopsRequest) -> str:
rows = ""
for q_num in range(self.FIRST_Q, self.LAST_Q + 1):
field = self.Q_PREFIX + str(q_num)
question_cell = f"{q_num}. {self.xstring(req, field)}"
rows += tr_qa(question_cell, self.get_answer_cell(req, q_num))
html = """
<div class="{CssClass.SUMMARY}">
<table class="{CssClass.SUMMARY}">
{tr_is_complete}
{total_score}
{metric_score}
</table>
</div>
<table class="{CssClass.TASKDETAIL}">
<tr>
<th width="60%">Question</th>
<th width="40%">Score</th>
</tr>
{rows}
</table>
<div class="{CssClass.FOOTNOTES}">
[1] Sum of all questions, range 0–48.
[2] Transformed metric scale, range 0–100.
</div>
""".format(
CssClass=CssClass,
tr_is_complete=self.get_is_complete_tr(req),
total_score=tr(
self.wxstring(req, "raw_score") + " <sup>[1]</sup>",
f"{answer(self.total_score())}",
),
metric_score=tr(
self.wxstring(req, "metric_score") + " <sup>[2]</sup>",
f"{answer(self.metric_score())}",
),
rows=rows,
)
return html
def get_answer_cell(self, req: CamcopsRequest, q_num: int) -> str:
q_field = self.Q_PREFIX + str(q_num)
score = getattr(self, q_field)
meaning = self.get_score_meaning(req, score)
answer_cell = f"{score} [{meaning}]"
return answer_cell
def get_score_meaning(self, req: CamcopsRequest, score: int) -> str:
return self.wxstring(req, f"option_{score}")