961362e088
- Added primary_keyword, secondary_keywords, tags, and categories fields to Tasks model - Updated generate_content function to handle full JSON response with all SEO fields - Improved progress bar animation: smooth 1% increments every 300ms - Enhanced step detection for content generation vs clustering vs ideas - Fixed progress modal to show correct messages for each function type - Added comprehensive logging to Keywords and Tasks pages for AI functions - Fixed error handling to show meaningful error messages instead of generic failures
76 lines
2.3 KiB
Python
76 lines
2.3 KiB
Python
"""
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AI Processor wrapper for the framework
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DEPRECATED: Use AICore.run_ai_request() instead for all new code.
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This file is kept for backward compatibility only.
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"""
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from typing import Dict, Any, Optional, List
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from igny8_core.utils.ai_processor import AIProcessor as BaseAIProcessor
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from igny8_core.ai.ai_core import AICore
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class AIProcessor:
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"""
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Framework-compatible wrapper around existing AIProcessor.
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DEPRECATED: Use AICore.run_ai_request() instead.
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This class redirects to AICore for consistency.
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"""
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def __init__(self, account=None):
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# Use AICore internally for all requests
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self.ai_core = AICore(account=account)
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self.account = account
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# Keep old processor for backward compatibility only
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self.processor = BaseAIProcessor(account=account)
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def call(
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self,
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prompt: str,
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model: Optional[str] = None,
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max_tokens: int = 4000,
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temperature: float = 0.7,
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response_format: Optional[Dict] = None,
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response_steps: Optional[List] = None,
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progress_callback=None
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) -> Dict[str, Any]:
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"""
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Call AI provider with prompt.
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DEPRECATED: Use AICore.run_ai_request() instead.
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Returns:
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Dict with 'content', 'error', 'input_tokens', 'output_tokens',
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'total_tokens', 'model', 'cost', 'api_id'
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"""
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# Redirect to AICore for centralized execution
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return self.ai_core.run_ai_request(
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prompt=prompt,
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model=model,
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max_tokens=max_tokens,
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temperature=temperature,
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response_format=response_format,
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function_name='AIProcessor.call'
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)
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def extract_json(self, response_text: str) -> Optional[Dict]:
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"""Extract JSON from response text"""
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return self.ai_core.extract_json(response_text)
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def generate_image(
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self,
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prompt: str,
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model: str = 'dall-e-3',
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size: str = '1024x1024',
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n: int = 1,
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account=None
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) -> Dict[str, Any]:
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"""Generate image using AI"""
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return self.ai_core.generate_image(
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prompt=prompt,
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provider='openai',
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model=model,
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size=size,
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n=n,
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account=account or self.account,
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function_name='AIProcessor.generate_image'
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)
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