Resume V1

Sample Code:

class ResumeV1(raw_prediction)

Resume API version 1 inference prediction.

static get_endpoint_info(klass)

Retrives the endpoint information for an Inference.

Should never retrieve info for CustomV1, as a custom endpoint should be created to use CustomV1.

Parameters:

klass (Type[Inference]) – product subclass to access endpoint information.

Return type:

Dict[str, str]

endpoint_name: Optional[str] = 'resume'

Name of the endpoint.

endpoint_version: Optional[str] = '1'

Version of the endpoint.

is_rotation_applied: Optional[bool]

Whether the document has had any rotation applied to it.

page_id: Optional[int]

Optional page id for page-level predictions.

pages: List[Page[ResumeV1Document]]

Page-level prediction(s).

prediction: ResumeV1Document

Document-level prediction.

product: Product

Name and version of a given product, as sent back by the API.

class ResumeV1Document(raw_prediction, page_id=None)

Resume API version 1.1 document data.

Parameters:
  • raw_prediction (Dict[str, Any]) –

  • page_id (Optional[int]) –

address: StringField

The location information of the candidate, including city, state, and country.

certificates: List[ResumeV1Certificate]

The list of certificates obtained by the candidate.

document_language: StringField

The ISO 639 code of the language in which the document is written.

document_type: ClassificationField

The type of the document sent.

education: List[ResumeV1Education]

The list of the candidate’s educational background.

email_address: StringField

The email address of the candidate.

given_names: List[StringField]

The candidate’s first or given names.

hard_skills: List[StringField]

The list of the candidate’s technical abilities and knowledge.

job_applied: StringField

The position that the candidate is applying for.

languages: List[ResumeV1Language]

The list of languages that the candidate is proficient in.

nationality: StringField

The ISO 3166 code for the country of citizenship of the candidate.

phone_number: StringField

The phone number of the candidate.

profession: StringField

The candidate’s current profession.

professional_experiences: List[ResumeV1ProfessionalExperience]

The list of the candidate’s professional experiences.

social_networks_urls: List[ResumeV1SocialNetworksUrl]

The list of social network profiles of the candidate.

soft_skills: List[StringField]

The list of the candidate’s interpersonal and communication abilities.

surnames: List[StringField]

The candidate’s last names.

class ResumeV1SocialNetworksUrl(raw_prediction, page_id=None)

The list of social network profiles of the candidate.

Parameters:
  • raw_prediction (Dict[str, Any]) –

  • page_id (Optional[int]) –

to_table_line()

Output in a format suitable for inclusion in an rST table.

Return type:

str

bounding_box: Optional[Quadrilateral]

A right rectangle containing the word in the document.

confidence: float

The confidence score.

name: Optional[str]

The name of the social network.

page_n: int

The document page on which the information was found.

polygon: Polygon

A polygon containing the word in the document.

url: Optional[str]

The URL of the social network.

class ResumeV1Language(raw_prediction, page_id=None)

The list of languages that the candidate is proficient in.

Parameters:
  • raw_prediction (Dict[str, Any]) –

  • page_id (Optional[int]) –

to_table_line()

Output in a format suitable for inclusion in an rST table.

Return type:

str

bounding_box: Optional[Quadrilateral]

A right rectangle containing the word in the document.

confidence: float

The confidence score.

language: Optional[str]

The language’s ISO 639 code.

level: Optional[str]

The candidate’s level for the language.

page_n: int

The document page on which the information was found.

polygon: Polygon

A polygon containing the word in the document.

class ResumeV1Education(raw_prediction, page_id=None)

The list of the candidate’s educational background.

Parameters:
  • raw_prediction (Dict[str, Any]) –

  • page_id (Optional[int]) –

to_table_line()

Output in a format suitable for inclusion in an rST table.

Return type:

str

bounding_box: Optional[Quadrilateral]

A right rectangle containing the word in the document.

confidence: float

The confidence score.

degree_domain: Optional[str]

The area of study or specialization.

degree_type: Optional[str]

The type of degree obtained, such as Bachelor’s, Master’s, or Doctorate.

end_month: Optional[str]

The month when the education program or course was completed.

end_year: Optional[str]

The year when the education program or course was completed.

page_n: int

The document page on which the information was found.

polygon: Polygon

A polygon containing the word in the document.

school: Optional[str]

The name of the school.

start_month: Optional[str]

The month when the education program or course began.

start_year: Optional[str]

The year when the education program or course began.

class ResumeV1ProfessionalExperience(raw_prediction, page_id=None)

The list of the candidate’s professional experiences.

Parameters:
  • raw_prediction (Dict[str, Any]) –

  • page_id (Optional[int]) –

to_table_line()

Output in a format suitable for inclusion in an rST table.

Return type:

str

bounding_box: Optional[Quadrilateral]

A right rectangle containing the word in the document.

confidence: float

The confidence score.

contract_type: Optional[str]

The type of contract for the professional experience.

department: Optional[str]

The specific department or division within the company.

description: Optional[str]

The description of the professional experience as written in the document.

employer: Optional[str]

The name of the company or organization.

end_month: Optional[str]

The month when the professional experience ended.

end_year: Optional[str]

The year when the professional experience ended.

page_n: int

The document page on which the information was found.

polygon: Polygon

A polygon containing the word in the document.

role: Optional[str]

The position or job title held by the candidate.

start_month: Optional[str]

The month when the professional experience began.

start_year: Optional[str]

The year when the professional experience began.

class ResumeV1Certificate(raw_prediction, page_id=None)

The list of certificates obtained by the candidate.

Parameters:
  • raw_prediction (Dict[str, Any]) –

  • page_id (Optional[int]) –

to_table_line()

Output in a format suitable for inclusion in an rST table.

Return type:

str

bounding_box: Optional[Quadrilateral]

A right rectangle containing the word in the document.

confidence: float

The confidence score.

grade: Optional[str]

The grade obtained for the certificate.

name: Optional[str]

The name of certification.

page_n: int

The document page on which the information was found.

polygon: Polygon

A polygon containing the word in the document.

provider: Optional[str]

The organization or institution that issued the certificate.

year: Optional[str]

The year when a certificate was issued or received.