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import dataclasses
from typing import Tuple, FrozenSet, Optional, List
from debputy.lsp.lsp_features import SEMANTIC_TOKENS_LEGEND
from debputy.util import grouper
from debputy.lsprotocol.types import (
TextDocumentItem,
Position,
Range,
SemanticTokens,
)
try:
from debputy.lsp.debputy_ls import DebputyLanguageServer
except ImportError:
pass
@dataclasses.dataclass(slots=True, frozen=True)
class ResolvedSemanticToken:
range: "Range"
token_name: str
modifiers: FrozenSet[str] = frozenset()
def resolved_semantic_token(
line_no: int,
col_start: int,
token_len: int,
token_type: str,
*,
token_modifiers: FrozenSet[str] = frozenset(),
) -> ResolvedSemanticToken:
return ResolvedSemanticToken(
Range(
Position(
line_no,
col_start,
),
Position(
line_no,
col_start + token_len,
),
),
token_type,
token_modifiers,
)
def _locate_cursor(text: str) -> Tuple[str, "Position"]:
lines = text.splitlines(keepends=True)
for line_no in range(len(lines)):
line = lines[line_no]
try:
c = line.index("<CURSOR>")
except ValueError:
continue
line = line.replace("<CURSOR>", "")
lines[line_no] = line
pos = Position(line_no, c)
return "".join(lines), pos
raise ValueError('Missing "<CURSOR>" marker')
def put_doc_with_cursor(
ls: "DebputyLanguageServer",
uri: str,
language_id: str,
content: str,
) -> "Position":
cleaned_content, cursor_pos = _locate_cursor(content)
put_doc_no_cursor(
ls,
uri,
language_id,
cleaned_content,
)
return cursor_pos
def put_doc_no_cursor(
ls: "DebputyLanguageServer",
uri: str,
language_id: str,
content: str,
) -> None:
doc_version = 1
existing = ls.workspace.text_documents.get(uri)
if existing is not None:
doc_version = existing.version + 1
ls.workspace.put_text_document(
TextDocumentItem(
uri,
language_id,
doc_version,
content,
)
)
def resolve_semantic_tokens(
token_result: Optional["SemanticTokens"],
) -> Optional[List[ResolvedSemanticToken]]:
if token_result is None:
return None
assert (len(token_result.data) % 5) == 0
current_line = 0
current_col = 0
resolved_tokens = []
token_types = SEMANTIC_TOKENS_LEGEND.token_types
for token_data in grouper(token_result.data, 5, incomplete="strict"):
line_delta, col_start_delta, token_len, token_code, modifier_codes = token_data
if line_delta:
current_col = 0
current_line += line_delta
current_col += col_start_delta
assert (
not modifier_codes
), "TODO: Modifiers not supported (no modifiers defined)"
resolved_tokens.append(
resolved_semantic_token(
current_line,
current_col,
token_len,
token_types[token_code],
),
)
return resolved_tokens
|
