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https://github.com/thecyberlearn/quantum-ai.git
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375b2b9d65
🚀 Major improvements to agent system: ## Wallet Management ✅ - Move wallet deduction to AFTER successful processing (not before) - Add real-time wallet balance updates in frontend - Prevent users from losing money on failed requests - Update both data_analyzer and weather_reporter processors ## Data Analyzer Agent 📊 - Fix N8N integration to handle array response format - Add binary PDF file upload (multipart/form-data) - Implement real-time AJAX results display below form - Add wallet balance updates after successful processing - Support continuous workflow with "Analyze Another File" ## Weather Reporter Agent 🌤️ - Update price from 2.5 AED to 2.0 AED - Fix results display (was using page reload, now AJAX) - Add real-time wallet balance updates - Implement dynamic results rendering below form - Add "Get Another Report" functionality ## Template System 🎨 - Update agent generator templates with correct wallet flow - Add data-wallet-balance attributes for easy targeting - Fix JavaScript querySelector errors - Implement proper error handling and logging ## Documentation 📚 - Update CLAUDE.md with wallet best practices - Add examples of current production agents - Document required JavaScript functions - Update pricing information and modern agent features - Add gitignore entries for nextjs/ and netcop-ai-hub/ ## Frontend JavaScript 💻 - Add updateWalletBalance() function for real-time updates - Implement displayResults() for dynamic content rendering - Add proper error handling with user-friendly messages - Support continuous workflow without page refresh 🎉 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
from django.db import models
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from decimal import Decimal
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from agent_base.models import BaseAgentRequest, BaseAgentResponse
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class DataAnalysisAgentRequest(BaseAgentRequest):
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"""Data Analysis Agent request tracking"""
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# Agent-specific request fields
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data_file = models.FileField(upload_to='uploads/data_analyzer/', blank=True)
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analysis_type = models.CharField(
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max_length=50,
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choices=[
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('summary', 'Summary Analysis'),
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('detailed', 'Detailed Analysis'),
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('statistical', 'Statistical Analysis'),
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],
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default='summary'
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)
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# Legacy field (keeping for compatibility)
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input_text = models.TextField(blank=True, null=True)
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class Meta:
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db_table = 'data_analyzer_requests'
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verbose_name = 'Data Analysis Agent Request'
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verbose_name_plural = 'Data Analysis Agent Requests'
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class DataAnalysisAgentResponse(BaseAgentResponse):
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"""Data Analysis Agent response storage"""
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request = models.OneToOneField(
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DataAnalysisAgentRequest,
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on_delete=models.CASCADE,
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related_name='response'
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)
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# Agent-specific response fields
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analysis_results = models.JSONField(default=dict, blank=True)
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insights_summary = models.TextField(blank=True)
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report_text = models.TextField(blank=True)
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raw_response = models.JSONField(default=dict, blank=True)
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# Legacy field (keeping for compatibility)
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output_text = models.TextField(blank=True, null=True)
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class Meta:
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db_table = 'data_analyzer_responses'
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verbose_name = 'Data Analysis Agent Response'
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verbose_name_plural = 'Data Analysis Agent Responses' |