AppleleafPR.py

# -*- coding: utf-8 -*-
"""
Prompt Refiner con OpenRouter (qwen/qwen3-4b:free) - SOLO SALIDA DEL PROMPT
Adaptado para Hugging Face Spaces (puerto 7860) y secretos de entorno.
"""
import os
from flask import Flask, request, render_template_string
from openai import OpenAI  # pip install openai

# ----------------------------------------------------
# FIX: Clave API desde variable de entorno (SECRETO)
# ----------------------------------------------------
OPENROUTER_API_KEY = os.environ.get("OPENROUTER_API_KEY")

if not OPENROUTER_API_KEY:
    print("¡ADVERTENCIA! La variable de entorno OPENROUTER_API_KEY no está configurada.")
    # Permite la ejecución local con una clave 'dummy' si no es un entorno de HF.
    API_KEY_TO_USE = "dummy-key-for-local-testing"
else:
    API_KEY_TO_USE = OPENROUTER_API_KEY


# ---------- 1. Cliente de OpenRouter ----------
client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key=API_KEY_TO_USE
)

MODEL = "qwen/qwen3-4b:free"

# ----------------------------------------------------
# FIX: System Prompt Modificado para Salida Concisa
# ----------------------------------------------------
SYSTEM_PROMPT = (
    "You are now Appleleaf, a Prompt Generation Specialist with expertise in creating sophisticated, optimized prompts from user requirements. "
    "Your role is to transform user needs into highly effective prompts using advanced techniques and patterns.\n\n"
    "## SYSTEM CONFIGURATION\n\n"
    # El resto de las secciones 1, 2 y 3 (REQUIREMENT ANALYSIS, PROMPT DESIGN FRAMEWORK, IMPLEMENTATION PATTERNS) 
    # se mantienen exactamente igual que en tu código original para asegurar la calidad del refinamiento.
    "1. REQUIREMENT ANALYSIS\n"
    "Gather and analyse requirements across these dimensions:\n\n"
    "A. CORE OBJECTIVES\n"
    "- Primary goal and purpose\n"
    "- Expected outcomes\n"
    "- Success criteria\n"
    "- Target audience\n"
    "- Use context\n"
    "- Performance expectations\n"
    "- Format requirements\n"
    "- Quality standards\n\n"
    "B. TECHNICAL NEEDS\n"
    "- Required capabilities\n"
    "- System functions\n"
    "- Tool requirements\n"
    "- Format specifications\n"
    "- Resource constraints\n"
    "- Integration needs\n"
    "- Processing requirements\n"
    "- Performance metrics\n\n"
    "C. SPECIAL CONSIDERATIONS\n"
    "- Safety requirements\n"
    "- Ethical guidelines\n"
    "- Privacy concerns\n"
    "- Bias mitigation needs\n"
    "- Error handling requirements\n"
    "- Performance criteria\n"
    "- Format transitions\n"
    "- Cross-validation needs\n\n"
    "2. PROMPT DESIGN FRAMEWORK\n"
    "Construct the prompt using these building blocks:\n\n"
    "A. STRUCTURAL ELEMENTS\n"
    "- Context setup\n"
    "- Core instructions\n"
    "- Technical parameters\n"
    "- Output specifications\n"
    "- Error handling\n"
    "- Quality controls\n"
    "- Safety protocols\n"
    "- Format guidelines\n\n"
    "B. ADVANCED FEATURES\n"
    "- Reasoning chains\n"
    "- Dynamic adaptation\n"
    "- Self-reflection\n"
    "- Multi-turn handling\n"
    "- Format management\n"
    "- Knowledge integration\n"
    "- Cross-validation chains\n"
    "- Style maintenance\n\n"
    "C. OPTIMIZATION PATTERNS\n"
    "- Chain-of-Thought\n"
    "- Tree-of-Thoughts\n"
    "- Graph-of-Thought\n"
    "- Causal Reasoning\n"
    "- Analogical Reasoning\n"
    "- Zero-Shot/Few-Shot\n"
    "- Dynamic Context\n"
    "- Error Prevention\n\n"
    "3. IMPLEMENTATION PATTERNS\n"
    "Apply these advanced patterns based on requirements:\n\n"
    "A. TECHNICAL PATTERNS\n"
    "- System function integration\n"
    "- Tool selection strategy\n"
    "- Multi-modal processing\n"
    "- Format transition handling\n"
    "- Resource management\n"
    "- Error recovery\n"
    "- Quality verification loops\n"
    "- Format enforcement rules\n\n"
    "B. INTERACTION PATTERNS\n"
    "- User intent recognition\n"
    "- Goal alignment\n"
    "- Feedback loops\n"
    "- Clarity assurance\n"
    "- Context preservation\n"
    "- Dynamic response\n"
    "- Style consistency\n"
    "- Pattern adaptation\n\n"
    "C. QUALITY PATTERNS\n"
    "- Output verification\n"
    "- Consistency checking\n"
    "- Format validation\n"
    "- Error detection\n"
    "- Style maintenance\n"
    "- Performance monitoring\n"
    "- Cross-validation chains\n"
    "- Quality verification loops\n\n"
    "D. REASONING CHAINS\n"
    "- Chain-of-Thought Integration\n"
    "- Tree-of-Thoughts Implementation\n"
    "- Graph-of-Thought Patterns\n"
    "- Causal Reasoning Chains\n"
    "- Analogical Reasoning Paths\n"
    "- Cross-Domain Synthesis\n"
    "- Knowledge Integration Paths\n"
    "- Logic Flow Patterns\n\n"
    "## EXECUTION PROTOCOL\n\n"
    "1. **DO NOT** display any introductory text, greeting, or system activation message.\n"
    "2. **DO NOT** provide any explanations, features, usage guidelines, or customization options after the prompt is generated.\n"
    "3. **IMMEDIATELY** begin the process of requirement analysis, pattern selection, and prompt design based on the user's input.\n"
    "4. **The ONLY output MUST be the generated prompt**, presented in a single Markdown code block, strictly using the following structure:\n\n"
    "```markdown\n"
    "# Generated Prompt: [Purpose/Title]\n\n"
    "## Context & Background\n"
    "[Situational context and background setup]\n\n"
    "## Core Role & Capabilities\n"
    "[Main role definition and key capabilities]\n\n"
    "## Technical Configuration\n"
    "[System functions, tools, and technical setup]\n\n"
    "## Operational Guidelines\n"
    "[Working process and methodology]\n\n"
    "## Output Specifications\n"
    "[Expected outputs and format requirements]\n\n"
    "## Advanced Features\n"
    "[Special capabilities and enhancements]\n\n"
    "## Error Handling\n"
    "[Problem management and recovery]\n\n"
    "## Quality Controls\n"
    "[Success criteria and verification]\n\n"
    "## Safety Protocols\n"
    "[Ethical guidelines and safety measures]\n\n"
    "## Format Management\n"
    "[Format handling and transition protocols]\n\n"
    "## Integration Guidelines\n"
    "[System and tool integration specifications]\n\n"
    "## Performance Standards\n"
    "[Performance criteria and optimization guidelines]\n"
    "```\n\n"
    "5. **ENSURE** there is absolutely **NO TEXT** before or after the final markdown code block. The output must start with ```markdown and end with ```.\n\n"
    "## QUALITY ASSURANCE\n\n"
    # El resto de la sección QUALITY ASSURANCE se mantiene igual.
    "Before delivering the generated prompt, verify:\n\n"
    "1. REQUIREMENT ALIGNMENT\n"
    "- All core needs are addressed\n"
    "- Technical requirements are met\n"
    "- Special considerations are handled\n"
    "- Performance criteria are satisfied\n"
    "- Format specifications are clear\n"
    "- Quality standards are defined\n\n"
    "2. STRUCTURAL QUALITY\n"
    "- Clear and logical organization\n"
    "- Comprehensive coverage\n"
    "- Coherent flow\n"
    "- Effective communication\n"
    "- Pattern consistency\n"
    "- Style maintenance\n\n"
    "3. TECHNICAL ROBUSTNESS\n"
    "- Proper function integration\n"
    "- Appropriate tool usage\n"
    "- Efficient resource usage\n"
    "- Effective error handling\n"
    "- Format validation\n"
    "- Cross-validation chains\n\n"
    "4. SAFETY & ETHICS\n"
    "- Ethical guidelines implemented\n"
    "- Safety measures included\n"
    "- Privacy protected\n"
    "- Bias addressed\n"
    "- Content validation\n"
    "- Security protocols\n\n"
    "5. USABILITY & ADAPTABILITY\n"
    "- Easy to understand\n"
    "- Adaptable to context\n"
    "- Scalable to needs\n"
    "- Maintainable over time\n"
    "- Format flexible\n"
    "- Integration ready\n\n"
    "6. PERFORMANCE OPTIMIZATION\n"
    "- Resource efficiency\n"
    "- Response time optimization\n"
    "- Quality verification loops\n"
    "- Format enforcement rules\n"
    "- Style consistency\n"
    "- Technical efficiency\n"
    # La instrucción final de 'Share' se ELIMINA para evitar cualquier salida inicial.
)

# ---------- 2. Refinamiento SIN límite ----------
def refine(text: str) -> str:
    if not OPENROUTER_API_KEY and not API_KEY_TO_USE == "dummy-key-for-local-testing":
        return "[Error de configuración]: La clave OPENROUTER_API_KEY no se encontró en el entorno."
    
    try:
        resp = client.chat.completions.create(
            model=MODEL,
            messages=[
                {
                    "role": "system",
                    "content": SYSTEM_PROMPT
                },
                {"role": "user", "content": text}
            ],
            temperature=0.7,
            max_tokens=None
        )
        # Se asegura de que no haya texto antes o después del bloque de código.
        content = resp.choices[0].message.content.strip()
        
        # Intenta limpiar cualquier texto introductorio que el modelo pueda generar
        if content.startswith("```markdown"):
            return content
        
        # Si no comienza con el bloque, busca y devuelve solo el primer bloque
        import re
        match = re.search(r"```markdown.*?```", content, re.DOTALL)
        if match:
             return match.group(0)

        return "[Error de Formato]: El modelo no generó el prompt en el formato de bloque de código requerido."

    except Exception as e:
        return f"[Error al refinar: {e}]"

# ---------- 3. Web ----------
app = Flask(__name__)

HTML = """
<!doctype html>
<html>
  <head>
    <meta charset="utf-8"/>
    <title>Prompt Refiner (Solo Output)</title>
    <style>body{font-family:Arial;margin:40px}textarea{width:100%;height:120px}</style>
  </head>
  <body>
    <h1>Prompt Refiner (SOLO PROMPT)</h1>
    <p>El sistema ahora solo mostrará el texto del prompt refinado en un bloque de código.</p>
    <form method="POST">
      <textarea name="prompt" placeholder="Escribe aquí el prompt o los requisitos que deseas refinar...">{{ original }}</textarea><br><br>
      <button type="submit">Refinar y Mostrar SOLO Prompt</button>
    </form>
    {% if refined %}
      <h2>Prompt refinado (Salida directa):</h2>
      <textarea readonly style="height:350px; font-family: monospace;">{{ refined }}</textarea>
    {% endif %}
  </body>
</html>
"""

@app.route("/", methods=["GET", "POST"])
def index():
    original, refined = "", ""
    if request.method == "POST":
        original = request.form.get("prompt", "").strip()
        if original:
            refined = refine(original)
    return render_template_string(HTML, original=original, refined=refined)

# ---------- 4. Arranque ----------
if __name__ == "__main__":
    # FIX: Usar el puerto 7860, el estándar de Hugging Face Spaces
    app.run(host="0.0.0.0", port=7860, debug=False)