INNER CODE UNIT · Python

process_entry

cognitivetech/ollama-ebook-summary · sum.py:240

def process_entry(clean_text: str, title: str, config: Config, previous_original_title: str, api_base: str, model: str, prompt_alias: str, ptitle: str) -> Tuple[str, bool, str, float, int, str]:
    """Process a single text entry and return the processed data."""
    unique_title, was_generated = get_unique_title(title, clean_text, previous_original_title, api_base, ptitle, config)
    
    # Choose the appropriate prompt based on text length
    if len(clean_text) < 1000:
        prompt = config.get_prompt("concise")
        model = config.defaults.get('general', model)  # Falls back to passed model if 'general' not found
    else:
        prompt = config.get_prompt(prompt_alias)

    payload = {
        "model": model,
        "prompt": f"```{clean_text}```\n\n{prompt}",
        "stream": False
    }

    start_time = time.time()

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