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c89b098 49da08e c89b098 49da08e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 | from __future__ import annotations
import re
import unicodedata
from app.schemas.cross_validation import (
AnswerKind,
StudentMathAnswerCandidate,
ValidationConfidence,
)
_NUMBER_PATTERN = r"[-+]?\d+(?:[.,]\d+)?(?:/\d+)?"
def normalize_math_text(value: str) -> str:
"""Normalise une réponse mathématique courte sans décider si elle est correcte."""
text = value.strip().lower()
text = unicodedata.normalize("NFKD", text)
text = "".join(char for char in text if not unicodedata.combining(char))
replacements = {
"ℝ": "r",
"−": "-",
"–": "-",
"—": "-",
"\\mathbb{r}": "r",
"\\mathbb{R}": "r",
"\\infty": "infinity",
"∞": "infinity",
"donc": " ",
"alors": " ",
"d'ou": " ",
"d’où": " ",
" ": "",
}
for old, new in replacements.items():
text = text.replace(old, new)
text = re.sub(r"\s+", "", text)
return text
def _extract_x_equals_value(normalized_answer: str) -> str | None:
match = re.search(rf"x=({_NUMBER_PATTERN}|[a-z])", normalized_answer)
if not match:
return None
return match.group(1).replace(",", ".")
def _extract_solution_set_value(normalized_answer: str) -> str | None:
match = re.search(rf"s=\{{?({_NUMBER_PATTERN}|[a-z])\}}?", normalized_answer)
if not match:
return None
return match.group(1).replace(",", ".")
def _extract_last_equality_value(normalized_answer: str) -> str | None:
if "=" not in normalized_answer:
return None
right_side = normalized_answer.rsplit("=", 1)[-1]
match = re.fullmatch(rf"({_NUMBER_PATTERN}|[a-z])", right_side)
if not match:
return None
return match.group(1).replace(",", ".")
def _extract_domain(normalized_answer: str) -> str | None:
if "df=" in normalized_answer:
return normalized_answer.split("df=", 1)[-1]
if "d_f=" in normalized_answer:
return normalized_answer.split("d_f=", 1)[-1]
if normalized_answer.startswith("r\\") or normalized_answer.startswith("r-"):
return normalized_answer
return None
def _extract_boolean_property(normalized_answer: str) -> str | None:
if "impaire" in normalized_answer:
return "impaire"
if "paire" in normalized_answer:
return "paire"
return None
def _infer_answer_kind(
normalized_answer: str,
expected_answer_kind: AnswerKind | None,
) -> AnswerKind:
if expected_answer_kind is not None and expected_answer_kind != AnswerKind.UNKNOWN:
return expected_answer_kind
if _extract_domain(normalized_answer):
return AnswerKind.DOMAIN
if _extract_solution_set_value(normalized_answer) or _extract_x_equals_value(normalized_answer):
return AnswerKind.SOLUTION_SET
if _extract_boolean_property(normalized_answer):
return AnswerKind.BOOLEAN_PROPERTY
if _extract_last_equality_value(normalized_answer):
return AnswerKind.VALUE
if normalized_answer:
return AnswerKind.EXPRESSION
return AnswerKind.UNKNOWN
def _extract_value_for_kind(normalized_answer: str, answer_kind: AnswerKind) -> str | None:
if answer_kind == AnswerKind.DOMAIN:
return _extract_domain(normalized_answer)
if answer_kind == AnswerKind.SOLUTION_SET:
return (
_extract_solution_set_value(normalized_answer)
or _extract_x_equals_value(normalized_answer)
or _extract_last_equality_value(normalized_answer)
)
if answer_kind == AnswerKind.VALUE:
return _extract_last_equality_value(normalized_answer) or _extract_x_equals_value(
normalized_answer
)
if answer_kind == AnswerKind.BOOLEAN_PROPERTY:
return _extract_boolean_property(normalized_answer)
if answer_kind == AnswerKind.EXPRESSION:
return normalized_answer or None
return None
def _extract_student_math_answer_legacy(
answer_text: str,
expected_answer_kind: AnswerKind | None = None,
) -> StudentMathAnswerCandidate:
"""Extrait une réponse élève exploitable pour comparaison future.
Cette fonction ne note pas.
Cette fonction ne valide pas la correction.
Elle prépare seulement une représentation normalisée.
"""
raw_answer = answer_text.strip()
normalized_answer = normalize_math_text(raw_answer)
answer_kind = _infer_answer_kind(normalized_answer, expected_answer_kind)
extracted_value = _extract_value_for_kind(normalized_answer, answer_kind)
if extracted_value:
confidence = ValidationConfidence.CERTAIN
needs_human_review = False
reason = "student_math_answer_extracted"
elif normalized_answer:
confidence = ValidationConfidence.PROBABLE
needs_human_review = False
reason = "student_math_answer_normalized_without_specific_value"
else:
confidence = ValidationConfidence.UNCERTAIN
needs_human_review = True
reason = "student_math_answer_empty_after_normalization"
return StudentMathAnswerCandidate(
raw_answer=raw_answer,
normalized_answer=normalized_answer,
answer_kind=answer_kind,
extracted_value=extracted_value,
confidence=confidence,
needs_human_review=needs_human_review,
reason=reason,
)
from app.schemas.cross_validation import AnswerKind, StudentMathAnswerCandidate, ValidationConfidence
from app.services.math_structure_scanner import MathStructureKind, scan_math_structures
def _scanner_solution_value(m):
e=m.children.get("elements", [])
if m.kind == MathStructureKind.ASSIGN_SET: return e[0] if len(e)==1 else m.children.get("value")
if m.kind == MathStructureKind.ASSIGN_NUM: return m.children.get("value")
if m.kind == MathStructureKind.SET_LITERAL: return e[0] if len(e)==1 else "{"+",".join(e)+"}"
return m.normalized_text
def _extract_solution_set_with_scanner(answer_text: str):
ms=scan_math_structures(answer_text)
for m in ms:
if m.kind in {MathStructureKind.ASSIGN_SET, MathStructureKind.ASSIGN_NUM, MathStructureKind.SET_LITERAL}: return StudentMathAnswerCandidate(raw_answer=answer_text, normalized_answer=normalize_math_text(answer_text), answer_kind=AnswerKind.SOLUTION_SET, extracted_value=_scanner_solution_value(m), confidence=ValidationConfidence.CERTAIN, needs_human_review=False, reason="deterministic_structure_scanner")
for m in ms:
if m.kind == MathStructureKind.BARE_NUMBER: return StudentMathAnswerCandidate(raw_answer=answer_text, normalized_answer=normalize_math_text(answer_text), answer_kind=AnswerKind.SOLUTION_SET, extracted_value=m.normalized_text, confidence=ValidationConfidence.PROBABLE, needs_human_review=True, reason="bare_number_requires_semantic_confirmation")
return None
def extract_student_math_answer(answer_text: str, expected_answer_kind: AnswerKind | None = None) -> StudentMathAnswerCandidate:
if expected_answer_kind == AnswerKind.SOLUTION_SET:
r=_extract_solution_set_with_scanner(answer_text)
if r is not None: return r
return _extract_student_math_answer_legacy(answer_text, expected_answer_kind)
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