File size: 5,467 Bytes
c7b08a0 | 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 | import ast
from dataclasses import dataclass
from typing import Literal
from .model import ModelUnavailableError, generate_comment, generate_comment_with_llm, load_llm
ModelChoice = Literal["base", "tuned"]
@dataclass(frozen=True)
class BlockInfo:
kind: str
name: str
lineno: int
source: str
@dataclass(frozen=True)
class AnnotationResult:
summary: str
annotated_source: str
status: str
valid: bool
block_count: int
notes: tuple[str, ...] = ()
def parse_python(source: str) -> ast.Module:
return ast.parse(source)
def strip_docstrings(node: ast.AST) -> ast.AST:
copied = ast.fix_missing_locations(ast.parse(ast.unparse(node)))
for child in ast.walk(copied):
if isinstance(child, (ast.Module, ast.FunctionDef, ast.AsyncFunctionDef, ast.ClassDef)):
if (
child.body
and isinstance(child.body[0], ast.Expr)
and isinstance(child.body[0].value, ast.Constant)
and isinstance(child.body[0].value.value, str)
):
child.body = child.body[1:]
return copied
def semantic_ast_dump(source: str) -> str:
tree = parse_python(source)
stripped = strip_docstrings(tree)
return ast.dump(stripped, include_attributes=False)
def collect_blocks(tree: ast.Module, source: str) -> list[BlockInfo]:
blocks: list[BlockInfo] = []
for node in ast.walk(tree):
if isinstance(node, ast.ClassDef):
block_source = ast.get_source_segment(source, node) or ast.unparse(node)
blocks.append(BlockInfo("class", node.name, node.lineno, block_source))
elif isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
kind = "async function" if isinstance(node, ast.AsyncFunctionDef) else "function"
block_source = ast.get_source_segment(source, node) or ast.unparse(node)
blocks.append(BlockInfo(kind, node.name, node.lineno, block_source))
return sorted(blocks, key=lambda item: item.lineno)
def summarize_blocks(blocks: list[BlockInfo]) -> str:
if not blocks:
return "This Python file has no classes or functions to annotate yet."
names = ", ".join(f"{block.kind} `{block.name}`" for block in blocks[:8])
overflow = "" if len(blocks) <= 8 else f", plus {len(blocks) - 8} more"
return f"This file defines {names}{overflow}."
def insert_comments(source: str, comments: dict[int, str]) -> str:
lines = source.splitlines()
inserts: dict[int, list[str]] = {}
for lineno, comment_text in comments.items():
indent = len(lines[lineno - 1]) - len(lines[lineno - 1].lstrip())
inserts.setdefault(lineno - 1, []).append(" " * indent + comment_text)
annotated: list[str] = []
for index, line in enumerate(lines):
annotated.extend(inserts.get(index, []))
annotated.append(line)
return "\n".join(annotated) + ("\n" if source.endswith("\n") else "")
def generate_block_comments(blocks: list[BlockInfo], model_choice: ModelChoice = "base") -> tuple[dict[int, str], list[str]]:
comments: dict[int, str] = {}
notes: list[str] = []
llm = load_llm() if model_choice == "base" else None
for block in blocks:
try:
if model_choice == "base":
comments[block.lineno] = generate_comment_with_llm(llm, block.kind, block.name, block.source)
else:
comments[block.lineno] = generate_comment(block.kind, block.name, block.source, variant="tuned")
except ModelUnavailableError:
raise
except Exception as exc:
comments[block.lineno] = f"# TODO(model): Could not explain {block.kind} `{block.name}`."
notes.append(f"{block.name}: model generation failed ({type(exc).__name__}).")
return comments, notes
def annotate_python(source: str, model_choice: ModelChoice = "base") -> AnnotationResult:
source = source.strip("\ufeff")
if not source.strip():
return AnnotationResult("", "", "Paste a Python file to annotate.", False, 0)
try:
original_tree = parse_python(source)
except SyntaxError as exc:
return AnnotationResult("", "", f"Syntax error on line {exc.lineno}: {exc.msg}", False, 0)
blocks = collect_blocks(original_tree, source)
summary = summarize_blocks(blocks)
if not blocks:
return AnnotationResult(summary, source, "Parsed successfully. No classes or functions to annotate.", True, 0)
comments, generation_notes = generate_block_comments(blocks, model_choice)
annotated = insert_comments(source, comments)
try:
same_ast = semantic_ast_dump(source) == semantic_ast_dump(annotated)
except SyntaxError as exc:
return AnnotationResult(
"",
annotated,
f"Generated annotation failed to parse on line {exc.lineno}: {exc.msg}",
False,
len(blocks),
tuple(generation_notes),
)
status = (
f"Validated: parsed {len(blocks)} block(s), inserted {model_choice} model comments, semantic AST unchanged."
if same_ast
else "Rejected: annotation changed the semantic AST."
)
if generation_notes:
status += "\n" + "\n".join(generation_notes)
return AnnotationResult(
summary,
annotated if same_ast else source,
status,
same_ast,
len(blocks),
tuple(generation_notes),
)
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