Avoid ambiguous JSON array extraction
LLM responses can include bracketed prose before the actual JSON array. The old greedy regex spanned from the first '[' to the last ']', causing valid single-array answers to be dropped and making multiple arrays indistinguishable. Constraint: Keep object extraction behavior unchanged. Rejected: Return first parseable array | silently guesses when a response has multiple valid arrays. Confidence: high Scope-risk: narrow Reversibility: clean Directive: Keep array extraction conservative when more than one valid top-level array is present. Tested: uv run --with pytest pytest tests/test_json_utils.py -q Tested: uv run --with ruff ruff check skillopt/utils/json_utils.py tests/test_json_utils.py Not-tested: Full benchmark rollouts.
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@@ -71,6 +71,74 @@ def _top_level_brace_objects(text: str) -> list[str]:
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return spans
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def _top_level_bracket_arrays(text: str) -> list[str]:
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"""Return balanced top-level ``[...]`` spans in ``text``.
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This mirrors :func:`_top_level_brace_objects` for array responses. Arrays
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nested inside a JSON object are not top-level array answers, so they are
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ignored while the outer scanner is inside a ``{...}`` span.
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"""
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spans: list[str] = []
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i, n = 0, len(text)
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outer_in_str = False
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outer_esc = False
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brace_depth = 0
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while i < n:
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ch = text[i]
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if outer_in_str:
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if outer_esc:
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outer_esc = False
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elif ch == "\\":
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outer_esc = True
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elif ch == '"':
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outer_in_str = False
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i += 1
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continue
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if ch == '"':
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outer_in_str = True
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i += 1
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continue
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if ch == "{":
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brace_depth += 1
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i += 1
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continue
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if ch == "}":
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brace_depth = max(0, brace_depth - 1)
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i += 1
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continue
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if ch != "[" or brace_depth:
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i += 1
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continue
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depth = 0
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in_str = False
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esc = False
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start = i
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while i < n:
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ch = text[i]
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if in_str:
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if esc:
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esc = False
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elif ch == "\\":
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esc = True
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elif ch == '"':
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in_str = False
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elif ch == '"':
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in_str = True
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elif ch == "[":
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depth += 1
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elif ch == "]":
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depth -= 1
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if depth == 0:
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spans.append(text[start:i + 1])
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i += 1
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break
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i += 1
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else:
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break # unterminated final array
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return spans
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def _looks_json_like(span: str) -> bool:
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"""Heuristic: does ``span`` look like an intended JSON object (vs. prose)?
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@@ -163,10 +231,15 @@ def extract_json_array(text: str) -> list | None:
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return json.loads(m.group(1))
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except json.JSONDecodeError:
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pass
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m = re.search(r"\[.*\]", text, re.DOTALL)
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if m:
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parsed_arrays = []
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for candidate in _top_level_bracket_arrays(text):
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try:
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return json.loads(m.group(0))
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parsed = json.loads(candidate)
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except json.JSONDecodeError:
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pass
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continue
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if isinstance(parsed, list):
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parsed_arrays.append(parsed)
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if len(parsed_arrays) == 1:
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return parsed_arrays[0]
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return None
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@@ -5,6 +5,7 @@ import pytest
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from skillopt.utils.json_utils import (
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_top_level_brace_objects,
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_top_level_bracket_arrays,
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extract_json,
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extract_json_array,
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)
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@@ -85,6 +86,22 @@ class TestTopLevelBraceObjects:
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assert _top_level_brace_objects(text) == ['{"edit": "right"}']
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class TestTopLevelBracketArrays:
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"""_top_level_bracket_arrays — string/object-aware top-level array scan."""
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def test_single_clean_array(self) -> None:
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assert _top_level_bracket_arrays("[1, 2]") == ["[1, 2]"]
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def test_two_top_level_arrays(self) -> None:
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assert _top_level_bracket_arrays("[1]\n[2]") == ["[1]", "[2]"]
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def test_array_inside_object_is_ignored(self) -> None:
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assert _top_level_bracket_arrays('{"items": [1, 2]}') == []
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def test_bracket_inside_quoted_prose_is_ignored(self) -> None:
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assert _top_level_bracket_arrays('label is "set it to [x]" done') == []
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class TestExtractJsonTolerantFallback:
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"""extract_json — json_repair fallback for malformed non-OpenAI output."""
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@@ -186,3 +203,15 @@ class TestExtractJsonArray:
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"""extract_json_array should not match a bare JSON object."""
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text = '{"this is an object": true}'
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assert extract_json_array(text) is None
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def test_ignores_prose_brackets_before_valid_array(self) -> None:
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text = "Use [not JSON] as prose. Final answer: [1, 2, 3]"
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assert extract_json_array(text) == [1, 2, 3]
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def test_multiple_valid_arrays_are_ambiguous(self) -> None:
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text = "First candidate [1], second candidate [2]"
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assert extract_json_array(text) is None
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def test_nested_object_array_not_confused_with_array_answer(self) -> None:
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text = '{"items": [1, 2, 3]}'
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assert extract_json_array(text) is None
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