mirror of
https://github.com/thecyberlearn/quantum-ai-v2.git
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f56708249d
New features: - Job Posting Generator (4.00 AED): Creates professional job postings with detailed requirements, company culture integration, and SEO optimization - Social Ads Generator (7.00 AED): Creates compelling social media advertisements with platform-optimized copy and emoji support Technical improvements: - Individual agent architecture with namespaced templates - Real-time AJAX form submission without page reload - Wallet deduction only after successful processing - Platform-specific optimization (job posting: 6 platforms, social ads: 6 platforms) - Copy/download functionality for generated content - Comprehensive form validation and error handling Database changes: - Job posting specific fields: job_title, company_name, seniority_level, contract_type, location, language - Social ads specific fields: description, social_platform, include_emoji, language - Response models with structured content fields 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
105 lines
4.3 KiB
Python
105 lines
4.3 KiB
Python
from agent_base.processors import StandardWebhookProcessor
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from django.utils import timezone
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from django.conf import settings
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from .models import JobPostingGeneratorRequest, JobPostingGeneratorResponse
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import json
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class JobPostingGeneratorProcessor(StandardWebhookProcessor):
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"""Webhook processor for Job Posting Generator agent"""
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agent_slug = 'job-posting-generator'
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webhook_url = settings.N8N_WEBHOOK_JOB_POSTING
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agent_id = 'job-posting'
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def prepare_message_text(self, **kwargs):
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"""Prepare detailed job posting prompt for N8N webhook"""
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request_obj = kwargs.get('request_obj')
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if not request_obj:
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return "Create a professional job posting"
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# Build comprehensive job posting prompt
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prompt = f"""
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Create a professional job posting for the following position:
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Job Title: {request_obj.job_title}
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Company: {request_obj.company_name}
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Location: {request_obj.location}
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Contract Type: {request_obj.get_contract_type_display()}
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Seniority Level: {request_obj.get_seniority_level_display()}
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Language: {request_obj.language}
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Job Description:
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{request_obj.job_description}
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"""
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if request_obj.company_website:
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prompt += f"\nCompany Website: {request_obj.company_website}"
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if request_obj.how_to_apply:
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prompt += f"\n\nApplication Instructions:\n{request_obj.how_to_apply}"
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prompt += "\n\nPlease create a comprehensive, professional job posting that includes all necessary sections such as job overview, responsibilities, qualifications, benefits, and clear application instructions."
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return prompt
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def process_response(self, response_data, request_obj):
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"""Process webhook response"""
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try:
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request_obj.status = 'processing'
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request_obj.save()
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# Handle array response from N8N (extract first item)
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if isinstance(response_data, list) and len(response_data) > 0:
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response_data = response_data[0]
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# Extract job posting content
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job_posting_content = ""
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if isinstance(response_data, dict):
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job_posting_content = response_data.get('output', response_data.get('text', response_data.get('content', '')))
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elif isinstance(response_data, str):
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job_posting_content = response_data
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# Determine success based on response
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success = bool(job_posting_content.strip()) and len(job_posting_content.strip()) > 50
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# Create response object
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response_obj = JobPostingGeneratorResponse.objects.create(
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request=request_obj,
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success=success,
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processing_time=response_data.get('processing_time', 0) if isinstance(response_data, dict) else 0,
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job_posting_content=job_posting_content,
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formatted_posting=job_posting_content, # Same content for now
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raw_response=response_data if isinstance(response_data, dict) else {'content': response_data}
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)
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# Only deduct wallet balance after successful processing
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if success:
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request_obj.user.deduct_balance(
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request_obj.cost,
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f"Job Posting Generator - {request_obj.job_title} at {request_obj.company_name}",
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'job-posting-generator'
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)
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print(f"{self.agent_slug}: Wallet deducted {request_obj.cost} AED for successful processing")
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# Update request as completed
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request_obj.status = 'completed' if success else 'failed'
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request_obj.processed_at = timezone.now()
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request_obj.save()
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return response_obj
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except Exception as e:
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# Handle error
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request_obj.status = 'failed'
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request_obj.save()
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# Create error response
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error_response = JobPostingGeneratorResponse.objects.create(
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request=request_obj,
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success=False,
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error_message=str(e),
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processing_time=0
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)
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raise Exception(f"Failed to process Job Posting Generator response: {e}") |