feder-cr/Jobs_Applier_AI_Agent_AIHawk · error · RuntimeError

An unexpected error occurred while processing legal_authoriz

Error message

An unexpected error occurred while processing legal_authorization.

What it means

Generic RuntimeError catch-all for the legal_authorization section in JobApplicationProfile.__init__: any exception other than KeyError/TypeError/AttributeError raised while building LegalAuthorization is converted to this message. The true cause is only in the chained exception and the logged message, making it a symptom wrapper rather than a root cause.

Source

Thrown at src/resume_schemas/job_application_profile.py:116

            raise RuntimeError("An unexpected error occurred while processing self_identification.") from e

        # Process legal_authorization
        try:
            logger.debug("Processing legal_authorization")
            self.legal_authorization = LegalAuthorization(**data['legal_authorization'])
            logger.debug(f"legal_authorization processed: {self.legal_authorization}")
        except KeyError as e:
            logger.error(f"Required field {e} is missing in legal_authorization data.")
            raise KeyError(f"Required field {e} is missing in legal_authorization data.") from e
        except TypeError as e:
            logger.error(f"Error in legal_authorization data: {e}")
            raise TypeError(f"Error in legal_authorization data: {e}") from e
        except AttributeError as e:
            logger.error(f"Attribute error in legal_authorization processing: {e}")
            raise AttributeError("Attribute error in legal_authorization processing.") from e
        except Exception as e:
            logger.error(f"An unexpected error occurred while processing legal_authorization: {e}")
            raise RuntimeError("An unexpected error occurred while processing legal_authorization.") from e

        # Process work_preferences
        try:
            logger.debug("Processing work_preferences")
            self.work_preferences = WorkPreferences(**data['work_preferences'])
            logger.debug(f"Work_preferences processed: {self.work_preferences}")
        except KeyError as e:
            logger.error(f"Required field {e} is missing in work_preferences data.")
            raise KeyError(f"Required field {e} is missing in work_preferences data.") from e
        except TypeError as e:
            logger.error(f"Error in work_preferences data: {e}")
            raise TypeError(f"Error in work_preferences data: {e}") from e
        except AttributeError as e:
            logger.error(f"Attribute error in work_preferences processing: {e}")
            raise AttributeError("Attribute error in work_preferences processing.") from e
        except Exception as e:
            logger.error(f"An unexpected error occurred while processing work_preferences: {e}")
            raise RuntimeError("An unexpected error occurred while processing work_preferences.") from e

View on GitHub (pinned to 79155b52fa)

Solutions

  1. Inspect e.__cause__ to get the original exception and stack trace.
  2. Construct LegalAuthorization(**data['legal_authorization']) directly to isolate the failing field.
  3. Fix or sanitize the offending value; extend the except chain with the specific exception type if it recurs.

Example fix

# before
except Exception as e:
    raise RuntimeError("An unexpected error occurred while processing legal_authorization.") from e

# after (surface the cause)
except Exception as e:
    raise RuntimeError(f"Error processing legal_authorization: {e!r}") from e
Defensive patterns

Strategy: try-catch

Try / catch

try:
    profile = JobApplicationProfile(**data)
except RuntimeError as e:
    if 'legal_authorization' in str(e):
        log.error('root cause: %r', e.__cause__)

Prevention

When it happens

Trigger: Nested validators or coercions inside LegalAuthorization raising ValueError/IndexError/etc.; e.g. parsing a boolean-like string or an unexpected enum value during construction.

Common situations: Schema version mismatches between resume files and the library; hand-edited YAML with invalid values for authorization fields; custom subclasses of the models adding validation.

Understand the failure class

Background: Schema validation failed / invalid input schema: payload rejected because its shape doesn't match the expected schema — this error's family across 28 libraries.

Related errors

AI-assisted analysis of feder-cr/Jobs_Applier_AI_Agent_AIHawk@79155b52fa (2026-08-28). Data as JSON: /api/errors/73b7a0b2f91f2400. Report an issue: GitHub.