feder-cr/Jobs_Applier_AI_Agent_AIHawk · error · KeyError

Required field {e} is missing in work_preferences data.

Error message

Required field {e} is missing in work_preferences data.

What it means

KeyError raised from the work_preferences block of JobApplicationProfile.__init__: either 'work_preferences' itself is absent from data (dict indexing data['work_preferences']), or the WorkPreferences constructor is missing a required key and its own KeyError propagates here. The missing key name appears in the interpolated message.

Source

Thrown at src/resume_schemas/job_application_profile.py:125

            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

        # Process availability
        try:
            logger.debug("Processing availability")
            self.availability = Availability(**data['availability'])
            logger.debug(f"Availability processed: {self.availability}")
        except KeyError as e:
            logger.error(f"Required field {e} is missing in availability data.")
            raise KeyError(f"Required field {e} is missing in availability data.") from e

View on GitHub (pinned to 79155b52fa)

Solutions

  1. Supply the missing key named in the message, at the top level or inside work_preferences.
  2. Default the section if optional: data.setdefault('work_preferences', {}) before construction.
  3. Check WorkPreferences.__init__ for required fields and pre-fill them from the source data.

Example fix

# before
self.work_preferences = WorkPreferences(**data['work_preferences'])

# after
wp = data.get('work_preferences') or {}
self.work_preferences = WorkPreferences(**wp)
Defensive patterns

Strategy: validation

Validate before calling

data.setdefault('work_preferences', {})

Type guard

def has_work_preferences(data: dict) -> bool:
    return isinstance(data.get('work_preferences'), dict)

Try / catch

try:
    profile = JobApplicationProfile(**data)
except KeyError as e:
    if 'work_preferences' in str(e):
        data.setdefault('work_preferences', {})
        profile = JobApplicationProfile(**data)

Prevention

When it happens

Trigger: JobApplicationProfile(**data) called with a resume dict lacking 'work_preferences', or with a work_preferences mapping missing a field WorkProfiles requires (e.g. 'remote').

Common situations: Resume files that omit optional-feeling sections like work preferences; data pipelines trimming empty dicts; schema evolution adding new required keys.

Understand the failure class

Background: "Missing required field" and "field is required" errors: why libraries reject payloads that omit mandatory fields — this error's family across 20 libraries.

Related errors

AI-assisted analysis of feder-cr/Jobs_Applier_AI_Agent_AIHawk@79155b52fa (2026-08-28). Data as JSON: /api/errors/934d7d807154e0e2. Report an issue: GitHub.