124 lines
4.5 KiB
Python
124 lines
4.5 KiB
Python
import tree_sitter_skill
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from tree_sitter import Language, Parser
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from lsprotocol.types import (
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Diagnostic,
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DiagnosticSeverity,
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Range,
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Position,
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DocumentSymbol,
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SymbolKind,
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)
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from pygls.workspace import TextDocument
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class SkillParser:
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"""
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A Tree-sitter based parser for the Skill language.
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Provides diagnostics and document symbols by traversing the Concrete Syntax Tree (CST).
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"""
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def __init__(self):
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# Initialize the language and parser using tree-sitter-skill bindings
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self.language = tree_sitter_skill.language()
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self.parser = Parser()
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self.parser.set_language(self.language)
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def parse_document(self, text_document: TextDocument) -> tuple[list[Diagnostic], list[DocumentSymbol]]:
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"""
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Parses the document content and returns both diagnostics (errors)
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and a list of DocumentSymbols (outline).
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"""
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content = text_document.source
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if not content:
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return [], []
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# Tree-sitter parsing
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tree = self.parser.parse(bytes(content, "utf8"))
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diagnostics: list[Diagnostic] = []
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symbols: list[DocumentSymbol] = []
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# Traverse the root node to collect errors and symbols
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self._traverse_tree(tree.root_node, content, diagnostics, symbols)
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return diagnostics, symbols
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def _traverse_tree(
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self,
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node,
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content: str,
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diagnostics: list[Diagnostic],
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symbols: list[DocumentSymbol]
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) -> None:
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"""Recursively traverses the AST to find errors and significant nodes."""
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# 1. Handle Errors (Diagnostics)
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if node.type == "ERROR" or node.type == "MISSING":
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start_point = node.start_point
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end_point = node.end_point
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diagnostics.append(
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Diagnostic(
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range=Range(
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start=Position(start_point[0], start_point[1]),
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end=Position(end_point[0], end_point[1])
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),
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message=f"Syntax error: unexpected {node.type} token",
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severity=DiagnosticSeverity.Error,
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)
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)
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# 2. Handle Symbols (Document Symbols / Outline)
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# Note: In a real implementation, we would check for specific node types
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# like 'function_definition' or 'procedure'.
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# Since the exact grammar is in the private repo, we use a pattern:
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# If a node represents a definition, we extract its name.
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if self._is_symbol_node(node):
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symbol = self._create_document_symbol(node, content)
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if symbol:
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symbols.append(symbol)
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# 3. Continue traversal
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for child in node.children:
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self._traverse_tree(child, content, diagnostics, symbols)
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def _is_symbol_node(self, node) -> bool:
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"""Determines if a node is significant enough to be an outline symbol."""
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# This depends on the tree-sitter-skill grammar.
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# We check for typical 'definition' or 'declaration' keywords/types.
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# Placeholder logic: we look for nodes that aren't just primitive tokens.
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symbolic_types = {"function_definition", "procedure_definition", "namespace", "let_binding"}
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return node.type in symbolic_types or node.type.endswith("_def")
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def _create_document_symbol(self, node, content: str) -> DocumentSymbol | None:
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"""Extracts a name and range for an AST node to create an LSP symbol."""
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# Try to find an identifier child to use as the symbol name
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name = None
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for child in node.children:
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if child.type == "identifier" or child.type == "name":
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start_byte = child.start_byte
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end_byte = child.end_byte
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name = content[start_byte:end_byte]
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break
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if not name:
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# Fallback to the node type itself if no identifier is found
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name = node.type
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start_pt = node.start_point
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end_pt = node.end_point
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return DocumentSymbol(
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name=name,
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kind=SymbolKind.Function, # Defaulting to Function; would be more specific in real grammar
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range=Range(
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start=Position(start_pt[0], start_pt[1]),
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end=Position(end_pt[0], end_pt[1])
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),
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selection_range=Range(
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start=Position(start_pt[0], start_pt[1]),
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end=Position(start_pt[0], start_pt[1])
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)
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)
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```
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