Spaces:
Sleeping
Sleeping
| from datetime import datetime | |
| import json | |
| class JobDescription: | |
| def __init__(self, title, company, url, company_url, job_description): | |
| self.title = title | |
| self.company = company | |
| self.url = url | |
| self.company_url = company_url | |
| self.published_at = None # Initialize to None or a default value | |
| self.job_description = job_description | |
| self.organization_logo_url = "" | |
| self.ai_result : AIInformation = None | |
| self.salary_range = "" | |
| def to_dict(self): | |
| return { | |
| "title": self.title, | |
| "company": self.company, | |
| "url": self.url, | |
| "company_url": self.company_url, | |
| "published_at": self.published_at.isoformat() if self.published_at else None, | |
| "job_description": self.job_description, | |
| "organization_logo_url": self.organization_logo_url, | |
| "ai_result": self.ai_result.to_dict() if self.ai_result else None, | |
| "salary_range": self.salary_range | |
| } | |
| def from_dict(data): | |
| ai_result = AIInformation.from_dict(data["ai_result"]) if data["ai_result"] else None | |
| job_desc = JobDescription( | |
| title=data["title"], | |
| company=data["company"], | |
| url=data["url"], | |
| company_url=data["company_url"], | |
| job_description=data["job_description"] | |
| ) | |
| job_desc.published_at = datetime.fromisoformat(data["published_at"]) if data["published_at"] else None | |
| job_desc.organization_logo_url = data["organization_logo_url"] | |
| job_desc.ai_result = ai_result | |
| job_desc.salary_range = data["salary_range"] | |
| return job_desc | |
| def format_should_apply(self, should_apply : bool): | |
| if should_apply: | |
| return "⭐ " | |
| return "" | |
| def get_salary(self): | |
| if self.ai_result.salary_range.lower() not in ["", "unknown"]: | |
| return self.ai_result.salary_range | |
| return self.salary_range | |
| def format_str_or_list(self, input): | |
| if isinstance(input, str): | |
| return input.replace("\n", "<br />") | |
| if isinstance(input, list): | |
| return "<ul>" + "".join(f"<li>{item}</li>" for item in input) + "</ul>" | |
| return input | |
| def format_posted_date(self, date): | |
| if "{}".format(date) == "nan": | |
| return "?" | |
| if isinstance(date, str): | |
| return datetime.datetime.fromtimestamp(int(date)).strftime("%d/%m/%Y") | |
| return date.strftime("%d/%m/%Y") | |
| def to_html(self): | |
| #open box | |
| result = ["<div class='job'>"] | |
| #logo | |
| result.append("<div class='logobox'><img src='{}' alt='No logo' class='logo'></div>".format(self.organization_logo_url)) | |
| #text part | |
| result.append("<div style='flex: 5; padding: 10px;'>") | |
| result.append("<h3><a href='{}' target='_blank'>{}{}</a></h3>".format(self.url, self.format_should_apply(self.ai_result.should_apply), self.title)) | |
| result.append("<p><a href='{}' target='_blank'>{}</a> ({}) - published at {}</p>".format(self.company_url, self.company, self.ai_result.company_description, self.format_posted_date(self.published_at))) | |
| result.append("<p><h4>Position: {}</h4>{}</p>".format(self.get_salary(), self.format_str_or_list(self.ai_result.position_summary))) | |
| result.append("<p><h4>Language:</h4>{}</p>".format(self.format_str_or_list(self.ai_result.language_requirements))) | |
| result.append("<p><h4>Experience:</h4>{}</p>".format(self.format_str_or_list(self.ai_result.experience_requirements))) | |
| #close text part | |
| result.append("</div>") | |
| #close box | |
| result.append("</div>") | |
| return " ".join(result) | |
| class AIInformation: | |
| def __init__(self, json_dump): | |
| obj = json.loads(json_dump) | |
| print(obj) | |
| #Check result | |
| if not "company_description" in obj: | |
| obj["company_description"] = "" | |
| if not "position_summary" in obj: | |
| obj["position_summary"] = "" | |
| if not "language_requirements" in obj: | |
| obj["language_requirements"] = "" | |
| if not "experience_requirements" in obj: | |
| obj["experience_requirements"] = "" | |
| if not "is_an_internship" in obj: | |
| obj["is_an_internship"] = False | |
| if not "salary_range" in obj: | |
| obj["salary_range"] = "" | |
| if not "should_apply" in obj: | |
| obj["should_apply"] = True | |
| self.company_description = obj["company_description"] | |
| self.position_summary = obj["position_summary"] | |
| self.language_requirements = obj["language_requirements"] | |
| self.experience_requirements = obj["experience_requirements"] | |
| self.is_an_internship = obj["is_an_internship"] | |
| self.salary_range = obj["salary_range"] | |
| self.should_apply : bool = obj["should_apply"] | |
| def to_dict(self): | |
| return { | |
| "company_description": self.company_description, | |
| "position_summary": self.position_summary, | |
| "language_requirements": self.language_requirements, | |
| "experience_requirements": self.experience_requirements, | |
| "is_an_internship": self.is_an_internship, | |
| "salary_range": self.salary_range, | |
| "should_apply": self.should_apply | |
| } | |
| def from_dict(data): | |
| json_dump = json.dumps(data) | |
| return AIInformation(json_dump) | |