app.py

import os
from fastapi import FastAPI, HTTPException, UploadFile, File, Form
from fastapi.responses import HTMLResponse
from pydantic import BaseModel
from dotenv import load_dotenv
import asyncio

# Importar dependencias de OpenAI
from openai import OpenAI

# Import ResearchTeam
from research_team import create_research_team

# Cargar variables de entorno
load_dotenv()

# Modelos Pydantic
class QuestionRequest(BaseModel):
    question: str

class DocumentRequest(BaseModel):
    document_content: str

class GenerateResponse(BaseModel):
    text: str
    status: str = "success"

class ResearchResponse(BaseModel):
    result: dict
    status: str = "success"

# Crear la aplicación FastAPI
app = FastAPI(
    title="SciResearch API",
    description="Scientific Research FastAPI application with OpenAI integration and Research Team for Claims Anchoring",
    version="1.0.0"
)

# Initialize ResearchTeam
research_team = None

def get_research_team():
    """Get or create ResearchTeam instance"""
    global research_team
    if research_team is None:
        research_team = create_research_team()
    return research_team

def get_html_with_response(question: str, answer: str, status: str, error_msg: str = None):
    """Generate HTML page with AI response"""
    response_content = ""
    if status == "success" and answer:
        response_content = f'''
        <div class="response-section">
            <h4>🤖 AI Response:</h4>
            <div style="margin-bottom: 15px;">
                {answer.replace(chr(10), '<br>')}
            </div>
        </div>
        '''
    elif status == "error":
        response_content = f'''
        <div class="response-section error">
            <h4>❌ Error:</h4>
            <div style="color: red;">
                {error_msg or "Unknown error occurred"}
            </div>
        </div>
        '''
    
    return get_base_html("ai-generator", question, "", response_content, "")

def get_html_with_research_response(document: str, result: dict, status: str, error_msg: str = None):
    """Generate HTML page with research response"""
    response_content = ""
    if status == "success" and result:
        response_content = f'''
        <div class="response-section">
            <h4>📊 Research Team Results:</h4>
            {format_research_results(result)}
        </div>
        '''
    elif status == "error":
        response_content = f'''
        <div class="response-section error">
            <h4>❌ Error:</h4>
            <div style="color: red;">
                {error_msg or "Unknown error occurred"}
            </div>
        </div>
        '''
    
    return get_base_html("research-team", "", document, "", response_content)

def format_research_results(result: dict) -> str:
    """Format research results as HTML"""
    html = ""
    
    # Handle new structure with detailed_analysis and summary_statistics
    summary_stats = result.get("summary_statistics", {})
    detailed_analysis = result.get("detailed_analysis", {})
    
    # DETAILED ANALYSIS SECTION (Priority Content)
    if detailed_analysis:
        html += f'''
        <div style="margin-bottom: 30px;">
            <h5>📋 Detailed Analysis Results</h5>
        '''
        
        # Claims Extracted Details
        if "claims_extracted" in detailed_analysis:
            claims_data = detailed_analysis["claims_extracted"]
            all_claims = claims_data.get("all_claims", [])
            core_claims = claims_data.get("core_claims", [])
            
            html += f'''
            <div style="background: white; padding: 20px; border-radius: 8px; border: 1px solid #e1e5e9; margin-bottom: 20px;">
                <h6>🔍 Claims Extraction</h6>
                <div style="margin-bottom: 15px;">
                    <strong>Total Claims Found:</strong> {len(all_claims)} | <strong>Core Claims:</strong> {len(core_claims)}
                </div>
                <details style="margin-bottom: 10px;">
                    <summary style="cursor: pointer; font-weight: bold;">View All Claims ({len(all_claims)})</summary>
                    <div style="margin-top: 10px; max-height: 300px; overflow-y: auto;">
            '''
            for i, claim in enumerate(all_claims[:10]):  # Show first 10 claims
                claim_type_color = {"core": "#e74c3c", "supporting": "#f39c12", "contextual": "#3498db"}.get(claim.get("type", "contextual"), "#95a5a6")
                html += f'''
                        <div style="padding: 10px; margin: 5px 0; border-left: 4px solid {claim_type_color}; background: #f8f9fa;">
                            <strong>Claim {claim.get('id', i+1)}:</strong> {claim.get('text', '')[:200]}{'...' if len(claim.get('text', '')) > 200 else ''}<br>
                            <small style="color: #666;">Type: {claim.get('type', 'unknown').title()} | Score: {claim.get('importance_score', 0)}</small>
                        </div>
                '''
            if len(all_claims) > 10:
                html += f'<div style="text-align: center; color: #666; margin-top: 10px;">... and {len(all_claims) - 10} more claims</div>'
            
            html += '''
                    </div>
                </details>
            </div>
            '''
        
        # Anchoring Results Details
        if "anchoring_results" in detailed_analysis:
            anchoring_data = detailed_analysis["anchoring_results"]
            claims_with_evidence = anchoring_data.get("claims_with_evidence", [])
            
            html += f'''
            <div style="background: white; padding: 20px; border-radius: 8px; border: 1px solid #e1e5e9; margin-bottom: 20px;">
                <h6>⚓ Claims Anchoring & Evidence</h6>
                <details style="margin-bottom: 10px;">
                    <summary style="cursor: pointer; font-weight: bold;">View Anchoring Results ({len(claims_with_evidence)})</summary>
                    <div style="margin-top: 10px; max-height: 400px; overflow-y: auto;">
            '''
            for claim_evidence in claims_with_evidence:
                status_color = {"validated": "#27ae60", "partial": "#f39c12", "unsupported": "#e74c3c"}.get(claim_evidence.get("validation_status", "unknown"), "#95a5a6")
                html += f'''
                        <div style="padding: 15px; margin: 10px 0; border: 1px solid #e1e5e9; border-radius: 8px;">
                            <div style="display: flex; align-items: center; margin-bottom: 10px;">
                                <strong>Claim {claim_evidence.get('claim_id', '')}:</strong>
                                <span style="margin-left: 10px; padding: 4px 8px; background: {status_color}; color: white; border-radius: 4px; font-size: 12px;">
                                    {claim_evidence.get('validation_status', 'unknown').title()}
                                </span>
                            </div>
                            <div style="margin-bottom: 10px; color: #333;">
                                {claim_evidence.get('claim_text', '')[:300]}{'...' if len(claim_evidence.get('claim_text', '')) > 300 else ''}
                            </div>
                            <div style="margin-bottom: 10px;">
                                <strong>Supporting Evidence:</strong> {len(claim_evidence.get('supporting_evidence', []))} passages found
                            </div>
                            <div style="margin-bottom: 10px;">
                                <strong>References:</strong> {len(claim_evidence.get('anchored_references', []))} references anchored
                            </div>
                            {f'<div style="font-size: 12px; color: #666;"><strong>Quality Assessment:</strong> {claim_evidence.get("quality_assessment", "")}</div>' if claim_evidence.get("quality_assessment") else ''}
                        </div>
                '''
            html += '''
                    </div>
                </details>
            </div>
            '''
        
        # Formatted References Details
        if "formatted_references" in detailed_analysis:
            ref_data = detailed_analysis["formatted_references"]
            reference_details = ref_data.get("reference_details", [])
            
            html += f'''
            <div style="background: white; padding: 20px; border-radius: 8px; border: 1px solid #e1e5e9; margin-bottom: 20px;">
                <h6>📚 Formatted References</h6>
                <details style="margin-bottom: 10px;">
                    <summary style="cursor: pointer; font-weight: bold;">View Formatted References ({len(reference_details)})</summary>
                    <div style="margin-top: 10px; max-height: 300px; overflow-y: auto;">
            '''
            for ref_detail in reference_details:
                status_color = {"complete": "#27ae60", "incomplete": "#f39c12", "not_found": "#e74c3c"}.get(ref_detail.get("completion_status", "unknown"), "#95a5a6")
                html += f'''
                        <div style="padding: 10px; margin: 5px 0; border-left: 4px solid {status_color}; background: #f8f9fa;">
                            <div style="font-weight: bold; margin-bottom: 5px;">Reference {ref_detail.get('reference_id', '')}</div>
                            <div style="margin-bottom: 5px;">{ref_detail.get('formatted_citation', '')}</div>
                            <small style="color: #666;">Type: {ref_detail.get('source_type', 'unknown').title()} | Status: {ref_detail.get('completion_status', 'unknown').title()}</small>
                        </div>
                '''
            html += '''
                    </div>
                </details>
            </div>
            '''
        
        html += '''
        </div>
        '''
    
    # SUMMARY STATISTICS SECTION (Secondary Information)
    if summary_stats:
        html += f'''
        <div style="margin-bottom: 20px;">
            <h5>📊 Summary Statistics</h5>
        '''
        
        # Document metadata
        if "document_metadata" in summary_stats:
            metadata = summary_stats["document_metadata"]
            html += f'''
            <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 15px; margin-bottom: 20px;">
                <div style="background: white; padding: 15px; border-radius: 8px; border: 1px solid #e1e5e9; text-align: center;">
                    <div style="font-size: 20px; font-weight: bold; color: #667eea;">{metadata.get('product', 'Not detected')}</div>
                    <div style="font-size: 12px; color: #666; margin-top: 5px;">Product</div>
                </div>
                <div style="background: white; padding: 15px; border-radius: 8px; border: 1px solid #e1e5e9; text-align: center;">
                    <div style="font-size: 20px; font-weight: bold; color: #667eea;">{metadata.get('language', 'Not detected')}</div>
                    <div style="font-size: 12px; color: #666; margin-top: 5px;">Language</div>
                </div>
                <div style="background: white; padding: 15px; border-radius: 8px; border: 1px solid #e1e5e9; text-align: center;">
                    <div style="font-size: 20px; font-weight: bold; color: #667eea;">{', '.join(metadata.get('countries', [])) if metadata.get('countries') else 'Not detected'}</div>
                    <div style="font-size: 12px; color: #666; margin-top: 5px;">Countries</div>
                </div>
            </div>
            '''
        
        # Claims analysis summary
        if "claims_analysis" in summary_stats:
            claims = summary_stats["claims_analysis"]
            html += f'''
            <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 15px; margin-bottom: 20px;">
                <div style="background: white; padding: 15px; border-radius: 8px; border: 1px solid #e1e5e9; text-align: center;">
                    <div style="font-size: 20px; font-weight: bold; color: #667eea;">{claims.get('total_claims', 0)}</div>
                    <div style="font-size: 12px; color: #666; margin-top: 5px;">Total Claims</div>
                </div>
                <div style="background: white; padding: 15px; border-radius: 8px; border: 1px solid #e1e5e9; text-align: center;">
                    <div style="font-size: 20px; font-weight: bold; color: #667eea;">{claims.get('core_claims_count', 0)}</div>
                    <div style="font-size: 12px; color: #666; margin-top: 5px;">Core Claims</div>
                </div>
            </div>
            '''
        
        # Claims anchoring summary
        if "claims_anchoring" in summary_stats and "summary" in summary_stats["claims_anchoring"]:
            summary = summary_stats["claims_anchoring"]["summary"]
            validation_rate = int((summary.get("validation_rate", 0) * 100))
            html += f'''
            <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 15px; margin-bottom: 20px;">
                <div style="background: white; padding: 15px; border-radius: 8px; border: 1px solid #e1e5e9; text-align: center;">
                    <div style="font-size: 20px; font-weight: bold; color: #667eea;">{summary.get('total_claims_processed', 0)}</div>
                    <div style="font-size: 12px; color: #666; margin-top: 5px;">Claims Processed</div>
                </div>
                <div style="background: white; padding: 15px; border-radius: 8px; border: 1px solid #e1e5e9; text-align: center;">
                    <div style="font-size: 20px; font-weight: bold; color: #667eea;">{summary.get('successfully_validated', 0)}</div>
                    <div style="font-size: 12px; color: #666; margin-top: 5px;">Successfully Validated</div>
                </div>
                <div style="background: white; padding: 15px; border-radius: 8px; border: 1px solid #e1e5e9; text-align: center;">
                    <div style="font-size: 20px; font-weight: bold; color: #667eea;">{validation_rate}%</div>
                    <div style="font-size: 12px; color: #666; margin-top: 5px;">Validation Rate</div>
                </div>
            </div>
            '''
        
        # Reference formatting summary
        if "reference_formatting" in summary_stats:
            refs = summary_stats["reference_formatting"]
            html += f'''
            <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 15px;">
                <div style="background: white; padding: 15px; border-radius: 8px; border: 1px solid #e1e5e9; text-align: center;">
                    <div style="font-size: 20px; font-weight: bold; color: #667eea;">{refs.get('total_references', 0)}</div>
                    <div style="font-size: 12px; color: #666; margin-top: 5px;">References Formatted</div>
                </div>
            </div>
            '''
        
        html += '''
        </div>
        '''
    
    return html

def create_openai_client():
    """Create and return OpenAI client instance."""
    geai_api_key = os.getenv("GEAI_API_KEY")
    geai_base_url = os.getenv("GEAI_API_BASE_URL")
    return OpenAI(api_key=geai_api_key, base_url=geai_base_url)

def answer_question(question: str):
    """
    Función para responder preguntas usando OpenAI LLM
    """
    if not question or question.strip() == "":
        raise HTTPException(status_code=400, detail="Please provide a question.")
    
    # Obtener API key de OpenAI desde variables de entorno
    geai_api_key = os.getenv("GEAI_API_KEY")
    geai_base_url = os.getenv("GEAI_API_BASE_URL")
    if not geai_api_key:
        raise HTTPException(status_code=500, detail="GEAI API key not configured")
    
    # Inicializar OpenAI client
    try:
        # Create OpenAI client
        client = create_openai_client()
        
        # Make the LLM call
        completion = client.chat.completions.create(
            model="openai/gpt-4o-mini",
            messages=[{"role": "user", "content": f"Answer the following question clearly and concisely: {question}"}],
            temperature=0.7,
            max_tokens=500
        )
        
        response = completion.choices[0].message.content
        return GenerateResponse(text=response.strip())
        
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Error generating response: {str(e)}")

def get_base_html(active_section: str = "ai-generator", question_value: str = "", document_value: str = "", ai_response: str = "", research_response: str = ""):
    """Generate base HTML with optional responses"""
    ai_display = "" if active_section == "ai-generator" else "display: none;"
    research_display = "" if active_section == "research-team" else "display: none;"
    
    return f"""
    <!DOCTYPE html>
    <html>
    <head>
        <title>SciResearch API</title>
        <meta name="viewport" content="width=device-width, initial-scale=1.0">
        <style>
            * {{ margin: 0; padding: 0; box-sizing: border-box; }}
            body {{ 
                font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; 
                background-color: #f5f7fa;
                color: #333;
            }}
            
            .app-container {{
                display: flex;
                min-height: 100vh;
            }}
            
            /* Sidebar Styles */
            .sidebar {{
                width: 300px;
                background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
                color: white;
                padding: 20px;
                box-shadow: 2px 0 10px rgba(0,0,0,0.1);
                position: fixed;
                height: 100vh;
                overflow-y: auto;
            }}
            
            .sidebar h1 {{
                font-size: 24px;
                margin-bottom: 10px;
                display: flex;
                align-items: center;
                gap: 10px;
            }}
            
            .sidebar p {{
                margin-bottom: 30px;
                opacity: 0.9;
                font-size: 14px;
            }}
            
            .sidebar-section {{
                margin-bottom: 30px;
            }}
            
            .sidebar-section h3 {{
                font-size: 16px;
                margin-bottom: 15px;
                border-bottom: 1px solid rgba(255,255,255,0.3);
                padding-bottom: 5px;
            }}
            
            .nav-link {{
                display: block;
                color: rgba(255,255,255,0.8);
                text-decoration: none;
                padding: 10px 15px;
                margin: 5px 0;
                border-radius: 8px;
                transition: background 0.3s;
            }}
            
            .nav-link:hover, .nav-link.active {{
                background: rgba(255,255,255,0.2);
                color: white;
            }}
            
            /* Main Content Styles */
            .main-content {{
                flex: 1;
                margin-left: 300px;
                padding: 40px;
                background: white;
                min-height: 100vh;
            }}
            
            .content-header {{
                margin-bottom: 30px;
            }}
            
            .content-header h2 {{
                font-size: 28px;
                color: #333;
                margin-bottom: 10px;
            }}
            
            .content-header p {{
                color: #666;
                font-size: 16px;
            }}
            
            .generator-section {{
                background: white;
                border-radius: 12px;
                padding: 30px;
                box-shadow: 0 2px 20px rgba(0,0,0,0.08);
                margin-bottom: 20px;
            }}
            
            .form-group {{
                margin-bottom: 20px;
            }}
            
            .form-group label {{
                display: block;
                font-weight: 600;
                margin-bottom: 8px;
                color: #333;
            }}
            
            input[type="text"], textarea {{
                width: 100%;
                padding: 12px 16px;
                border: 2px solid #e1e5e9;
                border-radius: 8px;
                font-size: 14px;
                transition: border-color 0.3s, box-shadow 0.3s;
                font-family: inherit;
            }}
            
            input[type="text"]:focus, textarea:focus {{
                outline: none;
                border-color: #667eea;
                box-shadow: 0 0 0 3px rgba(102, 126, 234, 0.1);
            }}
            
            textarea {{
                height: 200px;
                resize: vertical;
            }}
            
            .btn {{
                padding: 12px 24px;
                border: none;
                border-radius: 8px;
                cursor: pointer;
                font-size: 14px;
                font-weight: 600;
                transition: all 0.3s;
                display: inline-flex;
                align-items: center;
                gap: 8px;
            }}
            
            .btn-primary {{
                background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
                color: white;
            }}
            
            .btn-primary:hover {{
                transform: translateY(-2px);
                box-shadow: 0 4px 15px rgba(102, 126, 234, 0.4);
            }}
            
            .btn-secondary {{
                background: linear-gradient(135deg, #36d1dc 0%, #5b86e5 100%);
                color: white;
            }}
            
            .btn-secondary:hover {{
                transform: translateY(-2px);
                box-shadow: 0 4px 15px rgba(54, 209, 220, 0.4);
            }}
            
            .response-section {{
                margin-top: 25px;
                padding: 20px;
                background: #f8f9fa;
                border-radius: 8px;
                border-left: 4px solid #667eea;
            }}
            
            .response-section.error {{
                border-left-color: #dc3545;
            }}
            
            .response-section h4 {{
                margin-bottom: 15px;
                color: #333;
            }}
            
            .api-info {{
                background: #f8f9fa;
                padding: 20px;
                border-radius: 8px;
                margin-top: 30px;
            }}
            
            .api-info h3 {{
                margin-bottom: 15px;
                color: #333;
            }}
            
            .api-info ul {{
                list-style: none;
            }}
            
            .api-info li {{
                padding: 8px 0;
                border-bottom: 1px solid #e1e5e9;
            }}
            
            .api-info li:last-child {{
                border-bottom: none;
            }}
            
            .api-info a {{
                color: #667eea;
                text-decoration: none;
            }}
            
            .api-info a:hover {{
                text-decoration: underline;
            }}
            
            /* Responsive Design */
            @media (max-width: 768px) {{
                .sidebar {{
                    width: 100%;
                    position: relative;
                    height: auto;
                }}
                
                .main-content {{
                    margin-left: 0;
                    padding: 20px;
                }}
                
                .app-container {{
                    flex-direction: column;
                }}
            }}
        </style>
    </head>
    <body>
        <div class="app-container">
            <!-- Sidebar -->
            <div class="sidebar">
                <h1>🦀 SciResearch</h1>
                <p>Scientific Research FastAPI application with AI integration and Research Team</p>
                
                <div class="sidebar-section">
                    <h3>📡 Select Generator</h3>
                    <a href="/" class="nav-link {'active' if active_section == 'ai-generator' else ''}">💬 AI Question Generator</a>
                    <a href="/?mode=research" class="nav-link {'active' if active_section == 'research-team' else ''}">📄 Research Team Processor</a>
                </div>
                
                <div class="sidebar-section">
                    <h3>📋 Quick Links</h3>
                    <a href="/docs" class="nav-link">📚 API Documentation</a>
                    <a href="/api/health" class="nav-link">🔧 Health Endpoint</a>
                </div>
            </div>
            
            <!-- Main Content -->
            <div class="main-content">
                <!-- AI Generator Section -->
                <div id="ai-generator-section" class="generator-section" style="{ai_display}">
                    <div class="content-header">
                        <h2>💬 AI Question Generator</h2>
                        <p>Ask questions and get AI-powered responses from the research assistant</p>
                    </div>
                    
                    <form action="/ask" method="post">
                        <div class="form-group">
                            <label for="question">Enter your question:</label>
                            <input type="text" name="question" id="question" 
                                   value="{question_value}" 
                                   placeholder="What would you like to know about scientific research?" 
                                   required />
                        </div>
                        
                        <button type="submit" class="btn btn-primary">
                            🚀 Submit Question
                        </button>
                    </form>
                    
                    {ai_response}
                </div>
                
                <!-- Research Team Section -->
                <div id="research-team-section" class="generator-section" style="{research_display}">
                    <div class="content-header">
                        <h2>📄 Research Team Document Processor</h2>
                        <p>Process documents for claims anchoring and reference formatting using the AI research team</p>
                    </div>
                    
                    <form action="/process" method="post">
                        <div class="form-group">
                            <label for="document">Paste your document content:</label>
                            <textarea name="document_content" id="document" 
                                      placeholder="Paste the content of your research document here..." 
                                      required>{document_value}</textarea>
                        </div>
                        
                        <button type="submit" class="btn btn-secondary">
                            🔬 Process Document
                        </button>
                    </form>
                    
                    {research_response}
                </div>
                
                
            </div>
        </div>
    </body>
    </html>
    """

@app.get("/", response_class=HTMLResponse)
def read_root(mode: str = None):
    """
    Main HTML interface - supports switching between AI generator and research team
    """
    if mode == "research":
        return get_base_html("research-team")
    else:
        return get_base_html("ai-generator")

@app.get("/api/hello")
def greet_json():
    """
    Endpoint que devuelve un saludo en formato JSON
    """
    return {"message": "¡Hola mundo desde SciResearch!", "status": "success"}

@app.get("/api/health")
def health_check():
    """
    Endpoint para verificar el estado de la aplicación
    """
    geai_configured = bool(os.getenv("GEAI_API_KEY")) and bool(os.getenv("GEAI_API_BASE_URL"))
    
    return {
        "status": "healthy", 
        "service": "sciresearch", 
        "version": "1.0.0",
        "geai_configured": geai_configured,
        "research_team_available": True
    }

@app.post("/api/generate", summary="Answer user questions using OpenAI", tags=["AI Generate"], response_model=GenerateResponse)
def inference(request: QuestionRequest):
    """
    Endpoint para generar respuestas a preguntas usando OpenAI LLM
    """
    return answer_question(question=request.question)

@app.post("/ask", response_class=HTMLResponse)
def ask_question_form(question: str = Form(...)):
    """
    Form submission endpoint for questions - returns HTML response
    """
    try:
        result = answer_question(question)
        answer_text = result.text
        status = "success"
        error_msg = None
    except Exception as e:
        answer_text = ""
        status = "error" 
        error_msg = str(e)
    
    return get_html_with_response(question, answer_text, status, error_msg)

@app.post("/process", response_class=HTMLResponse)  
def process_document_form(document_content: str = Form(...)):
    """
    Form submission endpoint for document processing - returns HTML response
    """
    try:
        team = get_research_team()
        import asyncio
        loop = asyncio.new_event_loop()
        asyncio.set_event_loop(loop)
        result = loop.run_until_complete(team.process_document(document_content))
        status = "success"
        error_msg = None
    except Exception as e:
        result = {}
        status = "error"
        error_msg = str(e)
    
    return get_html_with_research_response(document_content, result, status, error_msg)

@app.post("/api/research/process", summary="Process document with Research Team", tags=["Research Team"], response_model=ResearchResponse)
async def process_document_research(request: DocumentRequest):
    """
    Endpoint para procesar documentos con el Research Team para Claims Anchoring y Reference Formatting
    """
    if not request.document_content or request.document_content.strip() == "":
        raise HTTPException(status_code=400, detail="Please provide document content.")
    
    try:
        # Get research team instance
        team = get_research_team()
        
        # Process document
        result = await team.process_document(request.document_content)
        
        return ResearchResponse(result=result)
        
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Error processing document: {str(e)}")

@app.get("/api/research/status")
def get_research_status():
    """
    Endpoint para verificar el estado del Research Team
    """
    try:
        team = get_research_team()
        return {
            "status": "ready",
            "workflow_available": True,
            "agents": {
                "analyzer": "ready",
                "search_assistant": "ready",
                "researcher": "ready", 
                "editor": "ready"
            }
        }
    except Exception as e:
        return {
            "status": "error",
            "error": str(e),
            "workflow_available": False
        }