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"""
Feedback prompts, labels, and text styling constants.
"""
from typing import Dict, List, Tuple
# Feedback prompts - use {keyword} placeholder for styled keyword insertion
CONTENT_FEEDBACK_PROMPTS: List[Tuple[str, str]] = [
("Was the {keyword} correct?", "content"),
("Did the {keyword} look right?", "data"),
("Were the {keyword} accurate?", "values"),
("Was the {keyword} helpful?", "information"),
("Were the {keyword} correct?", "details"),
]
FORM_FEEDBACK_PROMPTS: List[Tuple[str, str]] = [
("Was the {keyword} correct?", "layout"),
("Did the {keyword} look good?", "structure"),
("Was the {keyword} appropriate?", "formatting"),
("Did the {keyword} work well?", "arrangement"),
("Was the {keyword} suitable?", "design"),
]
# Text styling options for feedback keywords (rendered as HTML)
# These mirror the Jinja filters: success_text, warning_text, muted_text, color
FEEDBACK_TEXT_STYLES: List[str] = [
"bold", # <b>keyword</b> (classic)
"success", # <font color="#34a853">keyword</font> (green)
"warning", # <font color="#fbbc05">keyword</font> (yellow)
"info", # <font color="#4285f4">keyword</font> (blue)
"muted", # <font color="#9e9e9e">keyword</font> (gray)
"bold_success", # <b><font color="#34a853">keyword</font></b>
"bold_info", # <b><font color="#4285f4">keyword</font></b>
]
# Color mappings (matching SEMANTIC_COLORS from styling_filters.py)
FEEDBACK_COLORS: Dict[str, str] = {
"success": "#34a853",
"warning": "#fbbc05",
"info": "#4285f4",
"muted": "#9e9e9e",
"error": "#ea4335",
}
POSITIVE_LABELS: List[str] = [
"π Good",
"π Yes",
"π Correct",
"β
Looks good",
"π Accurate",
]
NEGATIVE_LABELS: List[str] = [
"π Bad",
"π No",
"π Wrong",
"β Needs work",
"π Not quite",
]
__all__ = [
"CONTENT_FEEDBACK_PROMPTS",
"FORM_FEEDBACK_PROMPTS",
"FEEDBACK_TEXT_STYLES",
"FEEDBACK_COLORS",
"POSITIVE_LABELS",
"NEGATIVE_LABELS",
]