from __future__ import annotations import re from typing import Any from .featurescript_lexer import Token, lex from .ir import Call, FeatureIR, ModelIR, SketchIR def _string(value: Any) -> Any: if isinstance(value, str) and len(value) >= 2 and value[0] in {'"', "'"} and value[-1] == value[0]: try: return bytes(value[1:-1], "utf-8").decode("unicode_escape") except Exception: return value[1:-1] return value class Parser: def __init__(self, source: str): self.source, self.tokens, self.i = source, lex(source), 0 def peek(self) -> Token: return self.tokens[self.i] def pop(self) -> Token: token = self.tokens[self.i]; self.i += 1; return token def accept(self, value: str) -> bool: if self.peek().value == value: self.i += 1; return True return False def primary(self) -> Any: token = self.pop() if token.value == "(": value = self.expression(); self.accept(")"); return value if token.kind == "string": return _string(token.value) if token.kind == "number": return float(token.value) if token.kind == "ident": if self.accept("("): args = [] while self.peek().kind != "eof" and self.peek().value != ")": args.append(self.expression()); if not self.accept(","): break self.accept(")") return Call(token.value, args, token.line) return token.value if token.value == "[": values = [] while self.peek().kind != "eof" and self.peek().value != "]": values.append(self.expression()); if not self.accept(","): break self.accept("]"); return values if token.value == "{": obj: dict[str, Any] = {} while self.peek().kind != "eof" and self.peek().value != "}": key = _string(self.pop().value); self.accept(":"); obj[str(key)] = self.expression() if not self.accept(","): break self.accept("}"); return obj return token.value def expression(self, minimum: int = 0) -> Any: left = self.primary() precedence = {"+": 10, "-": 10, "*": 20, "/": 20} while self.peek().value in precedence and precedence[self.peek().value] >= minimum: op = self.pop(); right = self.expression(precedence[op.value] + 1) left = Call("__binary__", [left, op.value, right], op.line) return left def statements(self) -> list[Call]: found: list[Call] = []; scopes: list[dict[str, Any]] = [{}] def environment() -> dict[str, Any]: resolved: dict[str, Any] = {} for scope in scopes: resolved.update(scope) return resolved def assignment_scope(name: str) -> dict[str, Any]: return next((scope for scope in reversed(scopes) if name in scope), scopes[-1]) while self.peek().kind != "eof": if self.accept("{"): scopes.append({}); continue if self.accept("}"): if len(scopes) > 1: scopes.pop() continue if self.peek().value == "var": self.pop() if self.peek().kind == "ident": name = self.pop().value if self.accept("="): scopes[-1][name] = _resolve(self.expression(), environment()) else: scopes[-1][name] = name if isinstance(scopes[-1][name], Call) and scopes[-1][name].name == "newSketch": found.append(scopes[-1][name]) continue if self.peek().kind == "ident" and self.i + 1 < len(self.tokens) and self.tokens[self.i + 1].value == "=": name = self.pop().value; self.pop() try: scope = assignment_scope(name); scope[name] = _resolve(self.expression(), environment()) if isinstance(scope[name], Call) and scope[name].name == "newSketch": value = scope[name] found.append(value) except Exception: pass elif self.peek().kind == "ident" and self.i + 1 < len(self.tokens) and self.tokens[self.i + 1].value == "(": value = self.expression() if isinstance(value, Call): value.args = [_resolve(arg, environment()) for arg in value.args] found.append(value) else: self.i += 1 return found def _resolve(value: Any, environment: dict[str, Any], seen: set[str] | None = None) -> Any: seen = seen or set() if isinstance(value, str) and value in environment and value not in seen: return _resolve(environment[value], environment, seen | {value}) if isinstance(value, Call): return Call(value.name, [_resolve(arg, environment, seen) for arg in value.args], value.line, value.raw) if isinstance(value, list): return [_resolve(arg, environment, seen) for arg in value] if isinstance(value, dict): return {key: _resolve(arg, environment, seen) for key, arg in value.items()} return value def symbolic_string(value: Any) -> str: if isinstance(value, Call) and value.name == "__binary__" and value.args[1] == "+": return symbolic_string(value.args[0]) + symbolic_string(value.args[2]) if isinstance(value, str): return "" if value == "id" else value return str(value) def _arg_map(call: Call) -> dict[str, Any]: # Object literals are parsed as dictionaries; FeatureScript operation calls # conventionally put the definition map in the final argument. return next((arg for arg in reversed(call.args) if isinstance(arg, dict)), {}) def parse_featurescript(source: str, sample_id: str = "unknown") -> ModelIR: parser = Parser(source); calls = parser.statements() version = re.search(r"\bFeatureScript\s+(\d+(?:\.\d+)*)\s*;", source) standard_library = re.search( r"\bimport\s*\(\s*path\s*:\s*[\"']([^\"']*onshape/std/[^\"']*)[\"']", source, ) model = ModelIR( sample_id, raw_source=source, featurescript_version=version.group(1) if version else None, standard_library=standard_library.group(1) if standard_library else None, ) for call in calls: if call.name == "newSketch": definition = _arg_map(call) fid = symbolic_string(call.args[1]) if len(call.args) > 1 else f"sketch_{len(model.sketches)}" sketch_ir = SketchIR(fid, definition.get("sketchPlane"), []) model.sketches.append(sketch_ir); model.steps.append(sketch_ir) elif call.name in {"skLineSegment", "skCircle", "skArc", "skEllipse", "skFitSpline", "skPoint"}: # Attach sketch entities to the most recently declared sketch. if model.sketches: args = _arg_map(call); eid = str(call.args[1]) if len(call.args) > 1 else f"E{len(model.sketches[-1].entities)}" model.sketches[-1].entities.append(FeatureIR(eid, call.name, args, line_start=call.line, raw_source=call.name)) elif call.name in {"extrude", "revolve", "fillet", "chamfer", "hole", "linearPattern", "mirror", "cPlane", "referenceAxis", "shell", "loft", "sweep", "circularPattern", "booleanBodies", "deleteBodies", "transform", "draft", "thicken", "split", "moveFace", "replaceFace", "deleteFace", "derive"}: fid = symbolic_string(call.args[1]) if len(call.args) > 1 else f"feature_{len(model.features)}" feature_ir = FeatureIR(fid, call.name, _arg_map(call), line_start=call.line, raw_source=call.name) model.features.append(feature_ir); model.steps.append(feature_ir) return model