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fix(lib): handle null and empty text in parse_text

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难度
2/5
预计耗时
1-3 小时
新手友好度
38/100
Issue 类型
缺陷
描述清晰度
描述清楚
活跃度
活跃
技术栈
python
领域
api

调研方向

Start with src/openai/lib/_parsing/_responses.py and compare parse_text() with maybe_parse_content() in _completions.py. Run the existing parsing tests, including static and streaming cases, and verify that null or empty text returns None without raising for both synchronous and asynchronous paths.

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描述

Confirm this is an issue with the Python library and not an underlying OpenAI API
  • This is an issue with the Python library
Describe the bug

In src/openai/lib/_parsing/_responses.py, parse_text() attempts to deserialize text into structured output (model_parse_json or json.loads) without verifying that text is non-empty / non-null:

def parse_text(text: str, text_format: type[TextFormatT] | Omit, *, phase: str | None) -> TextFormatT | None:
    if phase not in (None, "final_answer"):
        return None

    if not is_given(text_format):
        return None

    if is_basemodel_type(text_format):
        return cast(TextFormatT, model_parse_json(text_format, text))

    return cast(TextFormatT, json.loads(text))

When an output message contains empty or null text (for instance, in streaming response.output_text.done events where no tokens were emitted yet, message parts with content: [{"type": "output_text", "text": ""}], or custom endpoints/mocked transports), parse_text() raises:

  • TypeError: argument 'data': 'NoneType' object cannot be converted to 'PyString' when text is None
  • ValidationError: JSON decode error: EOF while parsing a value (or json.decoder.JSONDecodeError) when text == ""
Consistency with _completions.py and #3851:
  1. In src/openai/lib/_parsing/_completions.py:195, maybe_parse_content() already guards against falsy content before attempting parsing: 
    if has_rich_response_format(response_format) and message.content and not message.refusal:
    return _parse_content(response_format, message.content)
return None
  2. In #3851, null output.content was handled by treating it as empty. Adding an early guard if not text: return None in parse_text() provides the same defensive handling for output text.
Proposed fix

In src/openai/lib/_parsing/_responses.py:

def parse_text(text: str | None, text_format: type[TextFormatT] | Omit, *, phase: str | None) -> TextFormatT | None:
    if phase not in (None, "final_answer"):
        return None

    if not is_given(text_format):
        return None

    if not text:
        return None

    if is_basemodel_type(text_format):
        return cast(TextFormatT, model_parse_json(text_format, text))

    return cast(TextFormatT, json.loads(text))
Ready branch & tests

The change (+5/-2) and comprehensive sync/async unit tests covering both null and empty text in static parsing and streaming (+44 lines) are tested and ready in fork branch:
👉 https://github.com/Kuldeeep18/openai-python/tree/fix/responses-parse-null-text
(Commit: 6fd8a7b)

To Reproduce
from pydantic import BaseModel
from openai.lib._parsing._responses import parse_text

class Result(BaseModel):
    answer: str

# 1. Null text:
parse_text(None, Result, phase="final_answer")
# -> TypeError: argument 'data': 'NoneType' object cannot be converted to 'PyString'

# 2. Empty text:
parse_text("", Result, phase="final_answer")
# -> pydantic_core._pydantic_core.ValidationError: JSON decode error: EOF while parsing a value
OS

All platforms (cross-platform library parsing issue)

Python version

Python 3.10+

Library version

Latest main (v3.x)

主要语言
Python
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