feder-cr/Jobs_Applier_AI_Agent_AIHawk · error · AttributeError

AttributeError in PersonalInformation: {e}

Error message

AttributeError in PersonalInformation: {e}

What it means

The wrapper around PersonalInformation(**data) caught an AttributeError — the input dict (or a nested value) is missing an attribute the construction path expects. This typically happens when `data` is not actually a dict (e.g. a string or None) and code tries attribute-style access, or a __post_init__ validator accesses self.<field> on a misconfigured dataclass.

Source

Thrown at src/resume_schemas/resume.py:131

                for ed in data['education_details']:
                    if 'exam' in ed:
                        ed['exam'] = self.normalize_exam_format(ed['exam'])

            # Create an instance of Resume from the parsed data
            super().__init__(**data)
        except yaml.YAMLError as e:
            raise ValueError("Error parsing YAML file.") from e
        except Exception as e:
            raise Exception(f"Unexpected error while parsing YAML: {e}") from e


    def _process_personal_information(self, data: Dict[str, Any]) -> PersonalInformation:
        try:
            return PersonalInformation(**data)
        except TypeError as e:
            raise TypeError(f"Invalid data for PersonalInformation: {e}") from e
        except AttributeError as e:
            raise AttributeError(f"AttributeError in PersonalInformation: {e}") from e
        except Exception as e:
            raise Exception(f"Unexpected error in PersonalInformation processing: {e}") from e

    def _process_education_details(self, data: List[Dict[str, Any]]) -> List[EducationDetails]:
        education_list = []
        for edu in data:
            try:
                exams = [Exam(name=k, grade=v) for k, v in edu.get('exam', {}).items()]
                education = EducationDetails(
                    education_level=edu.get('education_level'),
                    institution=edu.get('institution'),
                    field_of_study=edu.get('field_of_study'),
                    final_evaluation_grade=edu.get('final_evaluation_grade'),
                    start_date=edu.get('start_date'),
                    year_of_completion=edu.get('year_of_completion'),
                    exam=exams
                )
                education_list.append(education)

View on GitHub (pinned to 79155b52fa)

Solutions

  1. Check the chained original exception (`from e`) to see which attribute was missing.
  2. Guard at the top: if not isinstance(data, dict): raise a clear ValueError with the received type.
  3. Fix or remove the stale attribute reference in __post_init__ or the dataclass.
  4. Ensure the upstream parser actually yields a dict for personal_information.

Example fix

// before
_process_personal_information(json.loads(text))  # text may decode to a string

# after
data = json.loads(text)
if not isinstance(data, dict):
    raise ValueError(f"expected object for personal_information, got {type(data).__name__}")
_process_personal_information(data)
Defensive patterns

Strategy: type-guard

Validate before calling

if not isinstance(data, dict):
    raise ValueError(f"personal_information must be a dict, got {type(data).__name__}")

Type guard

def is_dict_payload(x: Any) -> TypeGuard[dict]:
    return isinstance(x, dict)

Try / catch

try:
    pi = _process_personal_information(data)
except AttributeError as e:
    if 'object has no attribute' in str(e):
        logger.error("payload is not a dict: %s", e.__cause__ or e)
    raise

Prevention

When it happens

Trigger: Passing a non-dict (string, None, object) as `data` so that internal handling raises AttributeError; a __post_init__ referencing an attribute deleted/renamed in the dataclass definition.

Common situations: JSON parse returned a scalar/None instead of an object; refactoring the dataclass removed a field still referenced elsewhere; nested structures assumed to be objects but are strings.

Related errors

AI-assisted analysis of feder-cr/Jobs_Applier_AI_Agent_AIHawk@79155b52fa (2026-08-28). Data as JSON: /api/errors/812e0fee85dac73d. Report an issue: GitHub.