feder-cr/Jobs_Applier_AI_Agent_AIHawk · error · KeyError

Required field {e} is missing in salary_expectations data.

Error message

Required field {e} is missing in salary_expectations data.

What it means

KeyError raised from the salary_expectations block of JobApplicationProfile.__init__: the top-level 'salary_expectations' key is absent (dict indexing), or the SalaryExpectations constructor requires a field (e.g. 'currency' or 'amount') that the nested dict lacks and its KeyError propagates here. The missing key name is embedded in the message.

Source

Thrown at src/resume_schemas/job_application_profile.py:161

            raise KeyError(f"Required field {e} is missing in availability data.") from e
        except TypeError as e:
            logger.error(f"Error in availability data: {e}")
            raise TypeError(f"Error in availability data: {e}") from e
        except AttributeError as e:
            logger.error(f"Attribute error in availability processing: {e}")
            raise AttributeError("Attribute error in availability processing.") from e
        except Exception as e:
            logger.error(f"An unexpected error occurred while processing availability: {e}")
            raise RuntimeError("An unexpected error occurred while processing availability.") from e

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

        logger.debug("JobApplicationProfile initialization completed successfully.")

    def __str__(self):
        logger.debug("Generating string representation of JobApplicationProfile")

        def format_dataclass(obj):
            return "\n".join(f"{field.name}: {getattr(obj, field.name)}" for field in obj.__dataclass_fields__.values())

View on GitHub (pinned to 79155b52fa)

Solutions

  1. Add the missing key named in the message (top-level key or nested field).
  2. Default the section if optional: data.setdefault('salary_expectations', {}) before construction.
  3. Inspect SalaryExpectations.__init__ to see mandatory fields and fill them from source data.

Example fix

# before
self.salary_expectations = SalaryExpectations(**data['salary_expectations'])

# after
se = data.get('salary_expectations') or {}
self.salary_expectations = SalaryExpectations(**se)
Defensive patterns

Strategy: validation

Validate before calling

data.setdefault('salary_expectations', {})

Type guard

def has_salary_expectations(data: dict) -> bool:
    return isinstance(data.get('salary_expectations'), dict)

Try / catch

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

Prevention

When it happens

Trigger: JobApplicationProfile(**data) with no 'salary_expectations' in data, or a salary dict missing a field SalaryExpectations declares as required.

Common situations: Candidates omitting salary expectations from resumes; pipelines dropping empty sections; schema changes promoting optional salary fields to required.

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/967743e4a48f0b5e. Report an issue: GitHub.