Migrations
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@@ -485,21 +485,32 @@ class AICore:
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"""Generate image using OpenAI DALL-E"""
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print(f"[AI][{function_name}] Provider: OpenAI")
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# CRITICAL: Truncate prompt to OpenAI's 1000 character limit BEFORE any processing
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if len(prompt) > 1000:
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print(f"[AI][{function_name}][Warning] Prompt too long ({len(prompt)} chars), truncating to 1000")
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# Determine character limit based on model
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# DALL-E 2: 1000 chars, DALL-E 3: 4000 chars
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model = model or 'dall-e-3'
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if model == 'dall-e-2':
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max_length = 1000
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elif model == 'dall-e-3':
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max_length = 4000
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else:
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# Default to 1000 for safety
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max_length = 1000
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# CRITICAL: Truncate prompt to model-specific limit BEFORE any processing
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if len(prompt) > max_length:
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print(f"[AI][{function_name}][Warning] Prompt too long ({len(prompt)} chars), truncating to {max_length} for {model}")
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# Try word-aware truncation, but fallback to hard truncate if no space found
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truncated = prompt[:997]
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truncated = prompt[:max_length - 3]
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last_space = truncated.rfind(' ')
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if last_space > 900: # Only use word-aware if we have a reasonable space
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if last_space > max_length * 0.9: # Only use word-aware if we have a reasonable space
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prompt = truncated[:last_space] + "..."
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else:
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prompt = prompt[:1000] # Hard truncate if no good space found
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prompt = prompt[:max_length] # Hard truncate if no good space found
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print(f"[AI][{function_name}] Truncated prompt length: {len(prompt)}")
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# Final safety check
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if len(prompt) > 1000:
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prompt = prompt[:1000]
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print(f"[AI][{function_name}][Error] Had to hard truncate to exactly 1000 chars")
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if len(prompt) > max_length:
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prompt = prompt[:max_length]
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print(f"[AI][{function_name}][Error] Had to hard truncate to exactly {max_length} chars")
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api_key = api_key or self._openai_api_key
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if not api_key:
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@@ -675,19 +686,30 @@ class AICore:
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url = 'https://api.runware.ai/v1'
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print(f"[AI][{function_name}] Step 3: Sending request to Runware API...")
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print(f"[AI][{function_name}] Runware API key check: has_key={bool(api_key)}, key_length={len(api_key) if api_key else 0}")
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# Runware uses array payload
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payload = [{
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'taskType': 'imageInference',
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'model': runware_model,
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'prompt': prompt,
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'width': width,
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'height': height,
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'apiKey': api_key
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}]
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if negative_prompt:
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payload[0]['negativePrompt'] = negative_prompt
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# Runware uses array payload with authentication task first, then imageInference
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# Reference: image-generation.php lines 79-97
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import uuid
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payload = [
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{
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'taskType': 'authentication',
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'apiKey': api_key
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},
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{
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'taskType': 'imageInference',
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'taskUUID': str(uuid.uuid4()),
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'positivePrompt': prompt,
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'negativePrompt': negative_prompt or '',
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'model': runware_model,
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'width': width,
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'height': height,
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'steps': 30,
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'CFGScale': 7.5,
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'numberResults': 1,
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'outputFormat': 'webp'
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}
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]
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request_start = time.time()
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try:
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@@ -706,10 +728,28 @@ class AICore:
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}
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body = response.json()
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# Runware returns array with image data
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if isinstance(body, list) and len(body) > 0:
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image_data = body[0]
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image_url = image_data.get('imageURL') or image_data.get('url')
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print(f"[AI][{function_name}] Runware response type: {type(body)}, length: {len(body) if isinstance(body, list) else 'N/A'}")
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# Runware returns array: [auth_result, image_result]
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# image_result has 'data' array with image objects containing 'imageURL'
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image_url = None
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if isinstance(body, list):
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# Find the imageInference result (usually second element)
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for item in body:
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if isinstance(item, dict):
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# Check for 'data' key (image result)
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if 'data' in item and isinstance(item['data'], list) and len(item['data']) > 0:
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image_data = item['data'][0]
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image_url = image_data.get('imageURL') or image_data.get('image_url')
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if image_url:
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break
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# Check for direct 'imageURL' (fallback)
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elif 'imageURL' in item:
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image_url = item.get('imageURL')
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if image_url:
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break
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if image_url:
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cost = 0.036 * n # Runware pricing
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print(f"[AI][{function_name}] Step 5: Image generated successfully")
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@@ -317,32 +317,44 @@ def process_image_generation_queue(self, image_ids: list, account_id: int = None
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continue
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# Format template with image prompt from database
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# For DALL-E 2: Use image prompt directly (no template)
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# For DALL-E 3 and others: Use template with placeholders
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# CRITICAL: OpenAI has strict 1000 character limit for prompts
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# For DALL-E 2: Use image prompt directly (no template), 1000 char limit
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# For DALL-E 3: Use template with placeholders, 4000 char limit
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# CRITICAL: DALL-E 2 has 1000 char limit, DALL-E 3 has 4000 char limit
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image_prompt = image.prompt or ""
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# Determine character limit based on model
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if model == 'dall-e-2':
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max_prompt_length = 1000
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elif model == 'dall-e-3':
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max_prompt_length = 4000
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else:
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# Default to 1000 for safety
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max_prompt_length = 1000
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logger.warning(f"Unknown model '{model}', using 1000 char limit")
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logger.info(f"[process_image_generation_queue] Model: {model}, Max prompt length: {max_prompt_length} chars")
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if model == 'dall-e-2':
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# DALL-E 2: Use image prompt directly, no template
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logger.info(f"[process_image_generation_queue] Using DALL-E 2 - skipping template, using image prompt directly")
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formatted_prompt = image_prompt
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# Truncate to 1000 chars if needed
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if len(formatted_prompt) > 1000:
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logger.warning(f"DALL-E 2 prompt too long ({len(formatted_prompt)} chars), truncating to 1000")
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truncated = formatted_prompt[:997]
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if len(formatted_prompt) > max_prompt_length:
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logger.warning(f"DALL-E 2 prompt too long ({len(formatted_prompt)} chars), truncating to {max_prompt_length}")
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truncated = formatted_prompt[:max_prompt_length - 3]
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last_space = truncated.rfind(' ')
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if last_space > 900:
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if last_space > max_prompt_length * 0.9:
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formatted_prompt = truncated[:last_space] + "..."
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else:
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formatted_prompt = formatted_prompt[:1000]
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formatted_prompt = formatted_prompt[:max_prompt_length]
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else:
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# DALL-E 3 and others: Use template
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try:
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# Truncate post_title aggressively (max 80 chars to leave more room for image_prompt)
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# Truncate post_title (max 200 chars for DALL-E 3 to leave room for image_prompt)
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post_title = content.title or content.meta_title or f"Content #{content.id}"
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if len(post_title) > 80:
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post_title = post_title[:77] + "..."
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if len(post_title) > 200:
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post_title = post_title[:197] + "..."
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# Calculate actual template length with placeholders filled
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# Format template with dummy values to measure actual length
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@@ -353,11 +365,11 @@ def process_image_generation_queue(self, image_ids: list, account_id: int = None
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)
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template_overhead = len(template_with_dummies)
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# Calculate max image_prompt length: 1000 - template_overhead - safety margin (20)
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max_image_prompt_length = 1000 - template_overhead - 20
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if max_image_prompt_length < 50:
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# If template is too long, use minimum 50 chars for image_prompt
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max_image_prompt_length = 50
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# Calculate max image_prompt length: max_prompt_length - template_overhead - safety margin (50)
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max_image_prompt_length = max_prompt_length - template_overhead - 50
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if max_image_prompt_length < 100:
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# If template is too long, use minimum 100 chars for image_prompt
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max_image_prompt_length = 100
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logger.warning(f"Template is very long ({template_overhead} chars), limiting image_prompt to {max_image_prompt_length}")
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logger.info(f"[process_image_generation_queue] Template overhead: {template_overhead} chars, max image_prompt: {max_image_prompt_length} chars")
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@@ -379,47 +391,48 @@ def process_image_generation_queue(self, image_ids: list, account_id: int = None
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image_prompt=image_prompt
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)
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# CRITICAL: Final safety check - ALWAYS truncate to 1000 chars max
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if len(formatted_prompt) > 1000:
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logger.warning(f"Formatted prompt too long ({len(formatted_prompt)} chars), truncating to 1000")
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# CRITICAL: Final safety check - truncate to model-specific limit
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if len(formatted_prompt) > max_prompt_length:
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logger.warning(f"Formatted prompt too long ({len(formatted_prompt)} chars), truncating to {max_prompt_length} for {model}")
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# Try word-aware truncation
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truncated = formatted_prompt[:997]
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truncated = formatted_prompt[:max_prompt_length - 3]
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last_space = truncated.rfind(' ')
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if last_space > 900: # Only use word-aware if we have a reasonable space
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if last_space > max_prompt_length * 0.9: # Only use word-aware if we have a reasonable space
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formatted_prompt = truncated[:last_space] + "..."
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else:
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formatted_prompt = formatted_prompt[:1000] # Hard truncate
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formatted_prompt = formatted_prompt[:max_prompt_length] # Hard truncate
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# Double-check after truncation - MUST be <= 1000
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if len(formatted_prompt) > 1000:
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logger.error(f"Prompt still too long after truncation ({len(formatted_prompt)} chars), forcing hard truncate")
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formatted_prompt = formatted_prompt[:1000]
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# Double-check after truncation - MUST be <= max_prompt_length
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if len(formatted_prompt) > max_prompt_length:
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logger.error(f"Prompt still too long after truncation ({len(formatted_prompt)} chars), forcing hard truncate to {max_prompt_length}")
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formatted_prompt = formatted_prompt[:max_prompt_length]
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except Exception as e:
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# Fallback if template formatting fails
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logger.warning(f"Prompt template formatting failed: {e}, using image prompt directly")
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formatted_prompt = image_prompt
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# CRITICAL: Truncate to 1000 chars even in fallback
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if len(formatted_prompt) > 1000:
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logger.warning(f"Fallback prompt too long ({len(formatted_prompt)} chars), truncating to 1000")
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# CRITICAL: Truncate to model-specific limit even in fallback
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if len(formatted_prompt) > max_prompt_length:
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logger.warning(f"Fallback prompt too long ({len(formatted_prompt)} chars), truncating to {max_prompt_length} for {model}")
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# Try word-aware truncation
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truncated = formatted_prompt[:997]
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truncated = formatted_prompt[:max_prompt_length - 3]
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last_space = truncated.rfind(' ')
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if last_space > 900:
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if last_space > max_prompt_length * 0.9:
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formatted_prompt = truncated[:last_space] + "..."
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else:
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formatted_prompt = formatted_prompt[:1000] # Hard truncate
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# Final hard truncate if still too long - MUST be <= 1000
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if len(formatted_prompt) > 1000:
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formatted_prompt = formatted_prompt[:1000]
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formatted_prompt = formatted_prompt[:max_prompt_length] # Hard truncate
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# Final hard truncate if still too long - MUST be <= max_prompt_length
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if len(formatted_prompt) > max_prompt_length:
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logger.error(f"Fallback prompt still too long ({len(formatted_prompt)} chars), forcing hard truncate to {max_prompt_length}")
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formatted_prompt = formatted_prompt[:max_prompt_length]
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# Generate image (using same approach as test image generation)
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logger.info(f"[process_image_generation_queue] Generating image {index}/{total_images} (ID: {image_id})")
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logger.info(f"[process_image_generation_queue] Provider: {provider}, Model: {model}")
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logger.info(f"[process_image_generation_queue] Prompt length: {len(formatted_prompt)} (MUST be <= 1000)")
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if len(formatted_prompt) > 1000:
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logger.error(f"[process_image_generation_queue] ERROR: Prompt is {len(formatted_prompt)} chars, truncating NOW!")
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formatted_prompt = formatted_prompt[:1000]
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logger.info(f"[process_image_generation_queue] Prompt length: {len(formatted_prompt)} (MUST be <= {max_prompt_length} for {model})")
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if len(formatted_prompt) > max_prompt_length:
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logger.error(f"[process_image_generation_queue] ERROR: Prompt is {len(formatted_prompt)} chars, truncating NOW to {max_prompt_length}!")
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formatted_prompt = formatted_prompt[:max_prompt_length]
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logger.info(f"[process_image_generation_queue] Final prompt length: {len(formatted_prompt)}")
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logger.info(f"[process_image_generation_queue] Image type: {image_type}")
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@@ -0,0 +1,19 @@
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# Generated migration to change image_url from URLField to CharField
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from django.db import migrations, models
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class Migration(migrations.Migration):
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dependencies = [
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('writer', '0007_add_content_to_images'),
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]
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operations = [
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migrations.AlterField(
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model_name='images',
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name='image_url',
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field=models.CharField(blank=True, help_text='URL of the generated/stored image', max_length=500, null=True),
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),
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]
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@@ -843,6 +843,7 @@ Make sure each prompt is detailed enough for image generation, describing the vi
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# Runware uses array payload with authentication and imageInference tasks
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# Reference: image-generation.php lines 79-97
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import uuid
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logger.info(f"[AIProcessor.generate_image] Runware API key check: has_key={bool(api_key)}, key_length={len(api_key) if api_key else 0}, key_preview={api_key[:10] + '...' + api_key[-4:] if api_key and len(api_key) > 14 else 'N/A'}")
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payload = [
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{
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'taskType': 'authentication',
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