128 lines
4.4 KiB
Python
128 lines
4.4 KiB
Python
from dataclasses import dataclass
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from typing import Dict
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import yaml
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@dataclass
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class PersonalInformation:
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name: str
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surname: str
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dateOfBirth: str
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country: str
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city: str
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address: str
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phone: str
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phonePrefix: str
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email: str
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github: str
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linkedin: str
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@dataclass
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class SelfIdentification:
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gender: str
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pronouns: str
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veteran: str
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disability: str
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ethnicity: str
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@dataclass
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class LegalAuthorization:
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euWorkAuthorization: str
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usWorkAuthorization: str
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requiresUsVisa: str
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legallyAllowedToWorkInUs: str
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requiresUsSponsorship: str
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requiresEuVisa: str
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legallyAllowedToWorkInEu: str
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requiresEuSponsorship: str
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@dataclass
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class WorkPreferences:
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remoteWork: str
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inPersonWork: str
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openToRelocation: str
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willingToCompleteAssessments: str
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willingToUndergoDrugTests: str
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willingToUndergoBackgroundChecks: str
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@dataclass
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class Education:
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degree: str
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university: str
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gpa: str
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graduationYear: str
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fieldOfStudy: str
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skillsAcquired: Dict[str, str]
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@dataclass
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class Experience:
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position: str
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company: str
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employmentPeriod: str
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location: str
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industry: str
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keyResponsibilities: Dict[str, str]
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skillsAcquired: Dict[str, str]
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@dataclass
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class Availability:
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noticePeriod: str
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@dataclass
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class SalaryExpectations:
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salaryRangeUSD: str
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@dataclass
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class Language:
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language: str
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proficiency: str
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class Resume:
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def __init__(self, yaml_str: str):
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data = yaml.safe_load(yaml_str)
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self.personal_information = PersonalInformation(**data['personal_information'])
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self.self_identification = SelfIdentification(**data['self_identification'])
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self.legal_authorization = LegalAuthorization(**data['legal_authorization'])
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self.work_preferences = WorkPreferences(**data['work_preferences'])
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self.education_details = [Education(**edu) for edu in data['education_details']]
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self.experience_details = [Experience(**exp) for exp in data['experience_details']]
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self.projects = data['projects']
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self.availability = Availability(**data['availability'])
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self.salary_expectations = SalaryExpectations(**data['salary_expectations'])
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self.certifications = data['certifications']
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self.languages = [Language(**lang) for lang in data['languages']]
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self.interests = data['interests']
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def __str__(self):
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def format_dict(dict_obj):
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return "\n".join(f"{key}: {value}" for key, value in dict_obj.items())
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def format_dataclass(obj):
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return "\n".join(f"{field.name}: {getattr(obj, field.name)}" for field in obj.__dataclass_fields__.values())
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return ("Personal Information:\n" + format_dataclass(self.personal_information) + "\n\n"
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"Self Identification:\n" + format_dataclass(self.self_identification) + "\n\n"
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"Legal Authorization:\n" + format_dataclass(self.legal_authorization) + "\n\n"
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"Work Preferences:\n" + format_dataclass(self.work_preferences) + "\n\n"
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"Education Details:\n" + "\n".join(
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f" - {edu.degree} in {edu.fieldOfStudy} from {edu.university}, "
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f"GPA: {edu.gpa}, Graduation Year: {edu.graduationYear}\n"
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f" Skills Acquired:\n{format_dict(edu.skillsAcquired)}"
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for edu in self.education_details
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) + "\n\n"
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"Experience Details:\n" + "\n".join(
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f" - {exp.position} at {exp.company} ({exp.employmentPeriod}), {exp.location}, {exp.industry}\n"
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f" Key Responsibilities:\n{format_dict(exp.keyResponsibilities)}\n"
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f" Skills Acquired:\n{format_dict(exp.skillsAcquired)}"
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for exp in self.experience_details
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) + "\n\n"
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"Projects:\n" + "\n".join(f" - {proj}" for proj in self.projects.values()) + "\n\n"
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f"Availability: {self.availability.noticePeriod}\n\n"
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f"Salary Expectations: {self.salary_expectations.salaryRangeUSD}\n\n"
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"Certifications: " + ", ".join(self.certifications) + "\n\n"
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"Languages:\n" + "\n".join(
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f" - {lang.language} ({lang.proficiency})"
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for lang in self.languages
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) + "\n\n"
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"Interests:\n" + ", ".join(self.interests)
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)
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