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import logging
import sympy as sp
import numpy as np
from typing import Dict, Any, List, Tuple, Optional
logger = logging.getLogger(__name__)
class MathCalculator:
"""
Deterministic Mathematical Calculation Engine (v5.3).
Executes geometric formulas, algebraic expressions, and symbolic calculus using SymPy
to eliminate LLM arithmetic hallucinations and ensure 100% calculation accuracy.
"""
def __init__(self):
self.safe_globals = {
"sp": sp,
"sqrt": sp.sqrt,
"pi": sp.pi,
"sin": sp.sin,
"cos": sp.cos,
"tan": sp.tan,
"asin": sp.asin,
"acos": sp.acos,
"atan": sp.atan,
"Rational": sp.Rational,
"Abs": sp.Abs,
"exp": sp.exp,
"log": sp.log,
"deg": lambda rad: rad * 180 / sp.pi,
"rad": lambda deg: deg * sp.pi / 180,
}
def evaluate_expression(self, expr_str: str, context: Optional[Dict[str, Any]] = None) -> Tuple[Optional[sp.Expr], Optional[float], str]:
"""
Evaluates a mathematical expression string using SymPy with intelligent variable aliasing.
Returns: (exact_symbolic_value, float_value, latex_string)
"""
if not expr_str:
return None, None, "0"
s = str(expr_str).replace('$', '').strip().rstrip('.,;')
s = s.replace("\x0crac", "frac").replace("\x0c", "")
s = s.replace("^", "**").replace("×", "*").replace("÷", "/").replace("\\times", "*").replace("\\cdot", "*")
s = s.replace("\\pi", "pi")
# 1. LaTeX subscripts: S_{ABCD} -> S_ABCD
s = re.sub(r'([A-Za-z]+)_\{([^}]+)\}', r'\1_\2', s)
# 2. LaTeX sqrt: \sqrt{x} -> sqrt(x)
s = re.sub(r'\\*sqrt\{([^}]+)\}', r'sqrt(\1)', s)
s = re.sub(r'\\*sqrt([0-9]+)', r'sqrt(\1)', s)
# 3. LaTeX fractions: \frac{a}{b} -> ((a)/(b))
s = re.sub(r'\\*frac\{([^}]+)\}\{([^}]+)\}', r'((\1)/(\2))', s)
s = re.sub(r'frac\{([^}]+)\}\{([^}]+)\}', r'((\1)/(\2))', s)
# 4. Insert implicit multiplications:
# e.g. 9sqrt(3) -> 9*sqrt(3), 36sqrt(3) -> 36*sqrt(3), 2(64+...) -> 2*(64+...), ((6)/(3))(...) -> ((6)/(3))*(...)
s = re.sub(r'(\d+|\))\s*(sqrt|pi|sin|cos|tan|[A-Za-z_])', r'\1*\2', s)
s = re.sub(r'(\d+|\))\s*\(', r'\1*(', s)
# 5. Standalone fractions like 1/3, 1/2 to Rational
s = re.sub(r'(?<!Rational\()\b1/3\b', 'Rational(1, 3)', s)
s = re.sub(r'(?<!Rational\()\b1/2\b', 'Rational(1, 2)', s)
s = re.sub(r'(?<!Rational\()\b1/4\b', 'Rational(1, 4)', s)
s = re.sub(r'(?<!Rational\()\b1/6\b', 'Rational(1, 6)', s)
s = re.sub(r'(?<!Rational\()\b2/3\b', 'Rational(2, 3)', s)
s = re.sub(r'(?<!Rational\()\b4/3\b', 'Rational(4, 3)', s)
s = re.sub(r'(?<!Rational\()\b6/3\b', 'Rational(6, 3)', s)
eval_locals = dict(self.safe_globals)
ctx = context or {}
for k, v in ctx.items():
if isinstance(v, (int, float, sp.Expr)):
eval_locals[k] = v
try:
sym_val = sp.sympify(s, locals=eval_locals)
# Substitute free unbound symbols from context
free_syms = list(sym_val.free_symbols)
if free_syms and ctx:
for free in free_syms:
fname = str(free)
matched_val = None
for ck, cv in ctx.items():
if ck.lower().replace('_', '') == fname.lower().replace('_', ''):
matched_val = cv
break
if matched_val is None and any(w in fname.lower() for w in ['s', 'area', 'b', 'day', 'base']):
for ck, cv in ctx.items():
if any(w in ck.lower() for w in ['s', 'area', 'b', 'day', 'base']):
matched_val = cv
break
if matched_val is None and 'prev' in ctx:
matched_val = ctx['prev']
if matched_val is not None:
sym_val = sym_val.subs(free, matched_val)
sym_val = sp.simplify(sym_val)
try:
flt_val = float(sym_val.evalf())
except Exception:
flt_val = 0.0
latex_val = sp.latex(sym_val)
return sym_val, flt_val, latex_val
except Exception as e:
logger.warning(f"[MathCalculator] SymPy evaluate on '{s}' failed: {e}. Trying fallback...")
try:
safe_math = {"sqrt": np.sqrt, "pi": np.pi, "sin": np.sin, "cos": np.cos, "tan": np.tan}
if ctx:
for k, v in ctx.items():
if isinstance(v, (int, float)): safe_math[k] = float(v)
elif isinstance(v, sp.Expr): safe_math[k] = float(v.evalf())
flt_val = float(eval(s, {"__builtins__": {}}, safe_math))
sym_val = sp.Float(flt_val)
return sym_val, flt_val, str(flt_val)
except Exception as e2:
logger.error(f"[MathCalculator] Fallback eval error: {e2}")
return None, None, s
def process_solution_plan(
self,
steps_data: List[Dict[str, Any]],
target_question: Optional[str] = None,
coordinates: Optional[Dict[str, List[float]]] = None,
) -> Dict[str, Any]:
"""
Processes a structured solution plan from LLM, evaluating all calculations deterministically.
"""
context: Dict[str, Any] = {}
formatted_steps: List[str] = []
final_answer_sym = None
symbolic_expr_parts = []
for idx, step in enumerate(steps_data, start=1):
if isinstance(step, str):
verified_step, val = self._verify_text_step(step, context)
formatted_steps.append(verified_step)
if val is not None:
final_answer_sym = val
continue
explanation = step.get("explanation", "").strip()
formula = step.get("formula", "").strip()
calc_expr = step.get("calculation", "").strip()
var_name = step.get("variable", "").strip()
unit = step.get("unit", "").strip()
if calc_expr:
sym_val, flt_val, latex_val = self.evaluate_expression(calc_expr, context)
if sym_val is not None:
if var_name:
self._save_to_context(context, var_name, sym_val)
context['prev'] = sym_val
context['ans'] = sym_val
final_answer_sym = sym_val
if sym_val.is_integer:
val_display = str(int(flt_val))
elif sym_val.has(sp.sqrt, sp.pi) or sym_val.is_rational:
val_display = f"{sym_val} (≈ {flt_val:.2f})"
else:
val_display = f"{flt_val:.2f}" if abs(flt_val - round(flt_val)) > 1e-4 else str(int(round(flt_val)))
unit_str = f" {unit}" if unit else ""
step_text = f"Bước {idx}: {explanation}."
if formula and calc_expr:
step_text += f" Ta có: {formula} = {calc_expr} = {val_display}{unit_str}."
elif formula:
step_text += f" Ta có: {formula} = {val_display}{unit_str}."
elif calc_expr:
step_text += f" Tính toán: {calc_expr} = {val_display}{unit_str}."
formatted_steps.append(step_text)
if formula:
symbolic_expr_parts.append(f"{formula} = {latex_val}")
else:
formatted_steps.append(f"Bước {idx}: {explanation}.")
else:
formatted_steps.append(f"Bước {idx}: {explanation}.")
final_answer_str = self._format_final_answer(final_answer_sym)
final_symbolic_expression = "; ".join(symbolic_expr_parts) if symbolic_expr_parts else None
return {
"answer": final_answer_str,
"steps": formatted_steps,
"symbolic_expression": final_symbolic_expression,
"evaluated_context": {k: str(v) for k, v in context.items() if k not in ('prev', 'ans')},
}
def process_text_steps(self, text_steps: List[str]) -> Dict[str, Any]:
"""
Parses raw text steps, intercepts mathematical formulas with '=' signs,
evaluates all expressions via SymPy, and replaces arithmetic with verified results.
"""
context: Dict[str, Any] = {}
formatted_steps: List[str] = []
final_answer_sym = None
symbolic_expr_parts = []
for idx, step_str in enumerate(text_steps, start=1):
clean_step = str(step_str).strip()
verified_step, val = self._verify_text_step(clean_step, context)
if not re.match(r'^(Bước|\d+[\.:\)])', verified_step, re.IGNORECASE):
verified_step = f"Bước {idx}: {verified_step}"
formatted_steps.append(verified_step)
if val is not None:
final_answer_sym = val
symbolic_expr_parts.append(sp.latex(val))
final_answer_str = self._format_final_answer(final_answer_sym)
final_symbolic_expression = "; ".join(symbolic_expr_parts) if symbolic_expr_parts else None
return {
"answer": final_answer_str,
"steps": formatted_steps,
"symbolic_expression": final_symbolic_expression,
"evaluated_context": {k: str(v) for k, v in context.items() if k not in ('prev', 'ans')},
}
def _verify_text_step(self, step_str: str, context: Dict[str, Any]) -> Tuple[str, Optional[sp.Expr]]:
"""
Sentence-level equation parser and re-evaluator.
Splits by sentences so multiple equations in one step are independently processed.
"""
sentences = re.split(r'([.;]\s+)', step_str)
rebuilt = []
last_val = None
for sentence in sentences:
if '=' in sentence:
parts = [p.strip() for p in sentence.split('=') if p.strip()]
if len(parts) >= 2:
lhs = parts[0]
best_val = None
best_expr = None
# Check each remaining part to find the computable mathematical expression
for expr_cand in parts[1:]:
clean = expr_cand.replace('$', '').rstrip('.,;').strip()
if any(c in clean for c in '+-*/()0123456789') or clean in context:
sym_val, flt_val, latex_val = self.evaluate_expression(clean, context)
if sym_val is not None:
best_val = sym_val
best_expr = clean
if best_val is not None:
var_cand = re.findall(r'[A-Za-z_][A-Za-z0-9_]*', lhs)
if var_cand:
var_name = var_cand[-1]
self._save_to_context(context, var_name, best_val)
context['prev'] = best_val
context['ans'] = best_val
last_val = best_val
flt = float(best_val.evalf())
disp = str(int(flt)) if best_val.is_integer else (
f"{best_val} (≈ {flt:.2f})" if best_val.has(sp.sqrt, sp.pi) or best_val.is_rational else f"{flt:.2f}"
)
if len(parts) > 2:
sentence = f"{lhs} = {parts[1]} = {disp}"
else:
sentence = f"{lhs} = {best_expr} = {disp}"
rebuilt.append(sentence)
return "".join(rebuilt), last_val or context.get('ans')
def _save_to_context(self, context: Dict[str, Any], var_name: str, sym_val: sp.Expr):
context[var_name] = sym_val
clean_name = var_name.lower().replace('_', '').replace('{', '').replace('}', '')
if 's' in clean_name or 'b' in clean_name or 'area' in clean_name:
context['S_day'] = sym_val
context['S'] = sym_val
context['B'] = sym_val
context['S_ABCD'] = sym_val
context['S_ABC'] = sym_val
if '1' in clean_name: context['S1'] = sym_val
if '2' in clean_name: context['S2'] = sym_val
elif 'h' in clean_name or 'so' in clean_name or 'height' in clean_name:
context['h'] = sym_val
context['SO'] = sym_val
elif 'v' in clean_name:
context['V'] = sym_val
def _format_final_answer(self, sym_val: Optional[sp.Expr]) -> str:
if sym_val is None:
return ""
flt_val = float(sym_val.evalf())
if sym_val.is_integer:
return str(int(flt_val))
elif sym_val.has(sp.sqrt, sp.pi) or sym_val.is_rational:
return f"{sym_val} (≈ {flt_val:.2f})"
else:
return f"{flt_val:.2f}" if abs(flt_val - round(flt_val)) > 1e-4 else str(int(round(flt_val)))
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