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>
121 lines
4.8 KiB
Python
121 lines
4.8 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 SocialAdsGeneratorRequest, SocialAdsGeneratorResponse
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import json
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class SocialAdsGeneratorProcessor(StandardWebhookProcessor):
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"""Webhook processor for Social Ads Generator agent"""
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agent_slug = 'social-ads-generator'
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webhook_url = settings.N8N_WEBHOOK_SOCIAL_ADS
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agent_id = 'social-ads'
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def prepare_message_text(self, **kwargs):
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"""Prepare detailed social ads 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 social media advertisement"
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# Build comprehensive social ads prompt
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prompt = f"""
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Create a compelling social media advertisement for the following:
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Product/Service Description:
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{request_obj.description}
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Target Platform: {request_obj.get_social_platform_display()}
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Language: {request_obj.language}
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Include Emojis: {'Yes' if request_obj.include_emoji else 'No'}
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Please create platform-optimized ad copy that:
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- Captures attention instantly
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- Highlights key benefits and unique selling points
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- Uses persuasive messaging that motivates action
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- Includes a strong call-to-action
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- Is tailored to {request_obj.get_social_platform_display()} audience
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- Uses {request_obj.language} language
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"""
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if request_obj.include_emoji:
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prompt += "\n- Incorporates relevant emojis for engagement"
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prompt += "\n\nFormat the response as professional ad copy ready for social media posting."
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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 ad copy content
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ad_copy = ""
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if isinstance(response_data, dict):
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ad_copy = 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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ad_copy = response_data
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# Parse ad copy for different components (basic parsing)
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hashtags = ""
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targeting_suggestions = ""
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formatted_ad = ad_copy
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# Simple extraction of hashtags if present
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if '#' in ad_copy:
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lines = ad_copy.split('\n')
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hashtag_lines = [line for line in lines if line.strip().startswith('#')]
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if hashtag_lines:
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hashtags = ' '.join(hashtag_lines)
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# Determine success based on response
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success = bool(ad_copy.strip()) and len(ad_copy.strip()) > 20
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# Create response object
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response_obj = SocialAdsGeneratorResponse.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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ad_copy=ad_copy,
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hashtags=hashtags,
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targeting_suggestions=targeting_suggestions,
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formatted_ad=formatted_ad,
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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"Social Ads Generator - {request_obj.get_social_platform_display()} ad for {request_obj.description[:50]}...",
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'social-ads-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 = SocialAdsGeneratorResponse.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 Social Ads Generator response: {e}") |