44 lines
1.5 KiB
Python
44 lines
1.5 KiB
Python
|
"""Regression: skill-extraction JSON parsing must tolerate a stray brace in prose.
|
||
|
|
|
||
|
|
maybe_extract_skill() sliced the LLM response from the first '{' to the last
|
||
|
|
'}'. When a model emits a stray brace in prose before the real object
|
||
|
|
(e.g. "uses {placeholder} then {...}"), that slice starts at the prose brace and
|
||
|
|
json.loads fails, so a perfectly good skill is silently dropped. Extraction now
|
||
|
|
tries each '{' start position and returns the first candidate that parses to a
|
||
|
|
JSON object.
|
||
|
|
"""
|
||
|
|
from services.memory import skill_extractor
|
||
|
|
|
||
|
|
|
||
|
|
def test_stray_brace_before_real_json_is_recovered():
|
||
|
|
resp = (
|
||
|
|
'The user mentioned {placeholder} before the actual JSON '
|
||
|
|
'{"title": "Restart the service", "steps": ["a", "b"]}'
|
||
|
|
)
|
||
|
|
data = skill_extractor._extract_json_object(resp)
|
||
|
|
assert isinstance(data, dict)
|
||
|
|
assert data["title"] == "Restart the service"
|
||
|
|
|
||
|
|
|
||
|
|
def test_clean_json_object():
|
||
|
|
data = skill_extractor._extract_json_object('{"title": "Y", "steps": []}')
|
||
|
|
assert data["title"] == "Y"
|
||
|
|
|
||
|
|
|
||
|
|
def test_code_fenced_json():
|
||
|
|
data = skill_extractor._extract_json_object('```json\n{"title": "Z"}\n```')
|
||
|
|
assert data["title"] == "Z"
|
||
|
|
|
||
|
|
|
||
|
|
def test_no_json_object_returns_none():
|
||
|
|
assert skill_extractor._extract_json_object("just prose, no object here") is None
|
||
|
|
|
||
|
|
|
||
|
|
def test_non_object_json_returns_none():
|
||
|
|
# A bare array is valid JSON but not a skill object.
|
||
|
|
assert skill_extractor._extract_json_object("[1, 2, 3]") is None
|
||
|
|
|
||
|
|
|
||
|
|
def test_empty_input_returns_none():
|
||
|
|
assert skill_extractor._extract_json_object("") is None
|