import os
import httpx
from app.ml.enhanced_chat import get_enhanced_mock_response, rag_retriever
try:
    from app.ml.rag import retrieve_doctor_context
except ImportError:
    retrieve_doctor_context = None

OPENROUTER_API_KEY = os.environ.get("OPENROUTER_API_KEY", "")
BASE_URL = "https://openrouter.ai/api/v1"

# Free models available on OpenRouter — fallback chain
MODELS = [
    "deepseek/deepseek-chat-v3-0324:free",
    "google/gemma-3-27b-it:free",
    "meta-llama/llama-4-maverick:free",
]


def build_system_prompt(guc: dict) -> str:
    """
    Builds the Dr. Raahat system prompt by injecting
    the full Global User Context.
    """
    name = guc.get("name", "Patient")
    age = guc.get("age", "")
    gender = guc.get("gender", "")
    language = guc.get("language", "EN")
    location = guc.get("location", "India")

    report = guc.get("latestReport", {})
    summary_en = report.get("overall_summary_english", "No report uploaded yet.")
    organs = ", ".join(report.get("affected_organs", [])) or "None identified"
    severity = report.get("severity_level", "NORMAL")
    dietary_flags = ", ".join(report.get("dietary_flags", [])) or "None"
    exercise_flags = ", ".join(report.get("exercise_flags", [])) or "None"

    findings = report.get("findings", [])
    abnormal = [
        f"{f['parameter']}: {f['value']} {f['unit']} ({f['status']})"
        for f in findings
        if f.get("status") in ["HIGH", "LOW", "CRITICAL"]
    ]
    abnormal_str = "\n".join(f"  - {a}" for a in abnormal) or "  - None"

    medications = guc.get("medicationsActive", [])
    meds_str = ", ".join(medications) if medications else "None reported"

    allergy_flags = guc.get("allergyFlags", [])
    allergies_str = ", ".join(allergy_flags) if allergy_flags else "None reported"

    stress = guc.get("mentalWellness", {}).get("stressLevel", 5)
    sleep = guc.get("mentalWellness", {}).get("sleepQuality", 5)

    lang_instruction = (
        "Always respond in Hindi (Devanagari script). "
        "Use simple everyday Hindi words, not medical jargon."
        if language == "HI"
        else "Always respond in simple English."
    )

    empathy_note = (
        "\nNOTE: This patient has high stress levels. "
        "Be extra gentle, reassuring and empathetic in your responses. "
        "Acknowledge their feelings before giving medical information."
        if int(stress) <= 3 else ""
    )

    prompt = f"""You are Dr. Raahat, a friendly and empathetic Indian doctor. You speak both Hindi and English fluently.

PATIENT PROFILE:
- Name: {name}
- Age: {age}, Gender: {gender}
- Location: {location}

LATEST MEDICAL REPORT SUMMARY:
- Overall: {summary_en}
- Organs affected: {organs}
- Severity: {severity}

ABNORMAL FINDINGS:
{abnormal_str}

DIETARY FLAGS: {dietary_flags}
EXERCISE FLAGS: {exercise_flags}
ACTIVE MEDICATIONS: {meds_str}
ALLERGIES/RESTRICTIONS: {allergies_str}
STRESS LEVEL: {stress}/10 | SLEEP QUALITY: {sleep}/10

LANGUAGE: {lang_instruction}
{empathy_note}

IMPORTANT RULES:
- Never make up diagnoses or prescribe medications
- If asked something outside your knowledge, say "Please see a doctor in person for this"
- Always reference the patient's actual report data when answering
- Keep answers concise — 3-5 sentences maximum
- End every response with one actionable tip
- Be like a caring family doctor, not a cold clinical system
- Never create panic. Always give hope alongside facts."""

    return prompt


def _call_openrouter(messages: list[dict]) -> str | None:
    """
    Call OpenRouter API with the given messages.
    Tries each model in MODELS until one succeeds.
    Returns the reply string, or None on failure.
    """
    if not OPENROUTER_API_KEY or OPENROUTER_API_KEY.startswith("placeholder"):
        return None

    headers = {
        "Authorization": f"Bearer {OPENROUTER_API_KEY}",
        "Content-Type": "application/json",
        "HTTP-Referer": "https://reportraahat.app",
        "X-Title": "ReportRaahat",
    }

    for model in MODELS:
        try:
            payload = {
                "model": model,
                "messages": messages,
                "max_tokens": 500,
                "temperature": 0.7,
            }

            with httpx.Client(timeout=30.0) as client:
                resp = client.post(
                    f"{BASE_URL}/chat/completions",
                    headers=headers,
                    json=payload,
                )

            if resp.status_code == 200:
                data = resp.json()
                reply = data["choices"][0]["message"]["content"]
                print(f"✅ OpenRouter reply via {model}: {len(reply)} chars")
                return reply.strip()
            else:
                print(f"⚠️ OpenRouter {model} returned {resp.status_code}: {resp.text[:200]}")
                continue

        except Exception as e:
            print(f"⚠️ OpenRouter {model} error: {e}")
            continue

    return None


def chat(
    message: str,
    history: list[dict],
    guc: dict
) -> str:
    """
    Send a message to Dr. Raahat via OpenRouter.
    Injects GUC context + RAG-retrieved knowledge.
    Falls back to enhanced mock responses if API fails.
    """
    # Build system prompt with full GUC context
    system_prompt = build_system_prompt(guc)

    # Build conversation messages
    messages = [{"role": "system", "content": system_prompt}]

    # Add RAG-retrieved context if available
    try:
        if retrieve_doctor_context:
            docs = retrieve_doctor_context(message, top_k=3)
            if docs:
                context = "\n".join(f"- {d['text']}" for d in docs)
                messages.append({
                    "role": "system",
                    "content": f"Relevant medical knowledge:\n{context}"
                })
    except Exception as e:
        print(f"⚠️ RAG retrieval failed: {e}")

    # Add chat history
    for msg in history[-10:]:  # Last 10 messages for context
        role = msg.get("role", "user")
        content = msg.get("content", msg.get("text", ""))
        if content:
            messages.append({"role": role, "content": content})

    # Add current message
    messages.append({"role": "user", "content": message})

    # Try OpenRouter API first
    reply = _call_openrouter(messages)
    if reply:
        return reply

    # Fallback to enhanced mock responses
    print("⚠️ OpenRouter unavailable, using mock responses")
    retrieved_docs = []
    return get_enhanced_mock_response(message, guc, retrieved_docs)