"""
role_router.py — Multi-model role routing (S362, aggiornato 2026-06-14 benchmark)

BENCHMARK RESULTS 2026-06-14 FINALE (14 modelli × 3 test, max_tokens corretti):
  100% qualità (ordinati per TTFT):
  #1  Groq / qwen/qwen3.6-27b           — 170ms  100% ← FASTEST
  #2  Cerebras / gpt-oss-120b               — 207ms  100% ← REASONING (max_tokens≥500)
  #3  Groq / qwen/qwen3.6-27b        — 235ms  100%
  #4  Cerebras / zai-glm-4.7               — 254ms  100%
  #5  Groq / compound-mini                  — 341ms  100%
  #6  SambaNova / DeepSeek-V3.1            — 482ms  100%
  #7  SambaNova / gemma-4-31B              — 2132ms 100%
  #8  OpenRouter / openrouter/free        — 2160ms 100%

Role assignments 2026-06-14 FINALE:
  FAST       → Groq qwen/qwen3.6-27b      (170ms, 100%) ← #1 assoluto
  ARCHITECT  → Groq llama-4-scout-17b 10M ctx  (244ms, 67%  — best per contesto lungo)
  CODER      → Groq qwen/qwen3.6-27b    (235ms, 100%) ← #3 qualità
  TESTER     → Groq qwen/qwen3.6-27b
  CONTEXT    → Groq qwen/qwen3.6-27b
  RESEARCHER → Gemini 2.5-flash (599ms, 67% — math prompt-sensitive)
  REASONER   → Cerebras gpt-oss-120b (207ms, 100%, reasoning model → max_tokens≥500)
  SAMBANOVA  → SambaNova DeepSeek-V3.1 (482ms, 100%)
  DEFAULT    → AIClient() primary (qwen/qwen3.6-27b o primo disponibile)

OpenRouter tenuto come fallback secondario (openrouter/free = 1645ms ma 100% qualità).
"""
from __future__ import annotations

import os
from enum import Enum
from typing import Any

import logging
_logger = logging.getLogger("models.role_router")


class Role(str, Enum):
    FAST       = "fast"        # greetings, math semplice, identity — qwen/qwen3.6-27b
    ARCHITECT  = "architect"   # planning, ragionamento complesso — GPT-OSS 120B
    CODER      = "coder"       # coding, debug — qwen/qwen3.6-27b
    TESTER     = "tester"      # test gen, debug hints — qwen/qwen3.6-27b
    CONTEXT    = "context"     # summarization, context compression — qwen/qwen3.6-27b
    DEFAULT    = "default"     # AIClient() primary
    RESEARCHER = "researcher"  # web research + document synthesis — GPT-OSS 120B
    REASONER   = "reasoner"    # throughput massimo — Cerebras GPT-OSS 120B
    SAMBANOVA  = "sambanova"
    NVIDIA     = "nvidia"    # NVIDIA NIM — nemotron-3-ultra-550b (1M ctx)   # DeepSeek-V3.2 via SambaNova (404ms, 100% qualità benchmark)


class RoleRouter:
    """
    Factory: `RoleRouter.get_client(Role.ARCHITECT)`.
    Restituisce un AIClient configurato per il provider ottimale del ruolo.
    Tutti i fallback sono silenziosi — restituisce sempre un AIClient valido.
    """

    @staticmethod
    def get_client(role: Role) -> Any:
        """Ritorna un AIClient pre-configurato per il ruolo richiesto."""
        try:
            if role == Role.FAST:
                return RoleRouter._fast_client()
            if role == Role.ARCHITECT:
                return RoleRouter._architect_client()
            if role == Role.CODER:
                return RoleRouter._coder_client()
            if role in (Role.TESTER, Role.CONTEXT):
                return RoleRouter._tester_client()
            if role == Role.RESEARCHER:
                return RoleRouter._researcher_client()
            if role == Role.REASONER:
                return RoleRouter._reasoner_client()
            if role == Role.SAMBANOVA:
                return RoleRouter._sambanova_client()
            if role == Role.NVIDIA:
                return RoleRouter._nvidia_client()
        except Exception as _exc:
            _logger.warning("[role_router] GAP-ROUT: fallback to default AIClient — role=%s raised %s: %s",
                            role.value, type(_exc).__name__, _exc)  # GAP-ROUT-FIX: debug→warning
        from models.ai_client import AIClient
        return AIClient()

    # ── Role-specific builders ─────────────────────────────────────────────────

    @staticmethod
    def _prioritize_profile_pool(client: Any, provider_name: str) -> Any:
        """Promote all configured profiles for one provider without collapsing them."""
        profiles = [p for p in client.providers if p.name == provider_name]
        if not profiles:
            return None
        client.providers = profiles + [p for p in client.providers if p.name != provider_name]
        client.provider_name = profiles[0].name
        client.default_model = profiles[0].default_model
        client.client = client._client_for(profiles[0])
        return client

    @staticmethod
    def _profiled_client(client: Any, provider_names: tuple[str, ...]) -> Any:
        for provider_name in provider_names:
            env_name = f"{provider_name.upper()}_PROFILES_JSON"
            if os.getenv(env_name):
                profiled = RoleRouter._prioritize_profile_pool(client, provider_name)
                if profiled:
                    return profiled
        return None

    @staticmethod
    def _fast_client() -> Any:
        """Groq GPT-OSS 20B per query brevi e a bassa latenza.
        Usato per: greetings, calcoli semplici, identity, domande 1-liner."""
        from models.ai_client import AIClient, ProviderConfig
        client = AIClient()
        profiled = RoleRouter._profiled_client(client, ("groq",))
        if profiled:
            return profiled
        groq_key = os.getenv("GROQ_API_KEY")
        if not groq_key:
            return RoleRouter._tester_client()
        client = AIClient()
        fast = ProviderConfig(
            name="groq-fast",
            api_key=groq_key,
            base_url="https://api.groq.com/openai/v1",
            default_model=os.getenv("GROQ_FAST_MODEL", "qwen/qwen3.6-27b"),
        )
        rest = [p for p in client.providers if p.name not in ("groq", "groq-fast", "groq-tester")]
        client.providers = [fast, *rest]
        client.provider_name = fast.name
        client.default_model = fast.default_model
        client.client = client._client_for(fast)
        return client

    @staticmethod
    def _architect_client() -> Any:
        """NVIDIA NIM come primario per architettura.
        Fallback 1: Groq GPT-OSS 120B. Fallback 2: OpenRouter GPT-OSS 20B gratuito."""
        from models.ai_client import AIClient, ProviderConfig
        client = AIClient()
        profiled = RoleRouter._profiled_client(client, ("nvidia", "groq", "openrouter"))
        if profiled:
            return profiled
        nvidia_key = os.getenv("NVIDIA_API_KEY")
        if nvidia_key:
            client = AIClient()
            nvidia = ProviderConfig(
                name="nvidia-architect",
                api_key=nvidia_key,
                base_url="https://integrate.api.nvidia.com/v1",
                default_model=os.getenv("NVIDIA_ARCHITECT_MODEL", "nvidia/deepseek-v4-flash"),
            )
            rest = [p for p in client.providers if not p.name.startswith("nvidia")]
            client.providers = [nvidia, *rest]
            client.provider_name = nvidia.name
            client.default_model = nvidia.default_model
            client.client = client._client_for(nvidia)
            return client
        # Fallback 1: Groq GPT-OSS 120B, modello production supportato.
        groq_key = os.getenv("GROQ_API_KEY")
        if groq_key:
            client = AIClient()
            architect = ProviderConfig(
                name="groq-architect",
                api_key=groq_key,
                base_url="https://api.groq.com/openai/v1",
                default_model=os.getenv("ARCHITECT_MODEL", "qwen/qwen3.6-27b"),
            )
            rest = [p for p in client.providers if p.name not in ("groq", "groq-architect")]
            client.providers = [architect, *rest]
            client.provider_name = architect.name
            client.default_model = architect.default_model
            client.client = client._client_for(architect)
            return client
        # Fallback OpenRouter: usa il pool multi-profilo, se configurato.
        if os.getenv("OPENROUTER_API_KEY") or os.getenv("OPENROUTER_PROFILES_JSON"):
            client = AIClient()
            profiles = [p for p in client.providers if p.name == "openrouter"]
            if not profiles and os.getenv("OPENROUTER_API_KEY"):
                profiles = [ProviderConfig(
                    name="openrouter", api_key=os.getenv("OPENROUTER_API_KEY", ""),
                    base_url="https://openrouter.ai/api/v1",
                    default_model=os.getenv("OPENROUTER_MODEL", "openrouter/free"),
                    profile="legacy",
                )]
            if profiles:
                client.providers = profiles + [p for p in client.providers if p.name != "openrouter"]
                client.provider_name = profiles[0].name
                client.default_model = profiles[0].default_model
                client.client = client._client_for(profiles[0])
            return client
        return AIClient()

    @staticmethod
    def _coder_client() -> Any:
        """Groq GPT-OSS 120B per coding e debug.
        Fallback: provider ordinari del router se GROQ_API_KEY manca."""
        from models.ai_client import AIClient, ProviderConfig
        client = AIClient()
        profiled = RoleRouter._profiled_client(client, ("groq", "nvidia", "openrouter"))
        if profiled:
            return profiled
        groq_key = os.getenv("GROQ_API_KEY")
        nvidia_key = os.getenv("NVIDIA_API_KEY")
        model = os.getenv("CODER_MODEL", "qwen/qwen3.6-27b")
        if groq_key:
            client = AIClient()
            coder = ProviderConfig(
                name="groq-coder",
                api_key=groq_key,
                base_url="https://api.groq.com/openai/v1",
                default_model=model,
                purpose="coding",
            )
            dedicated_fallbacks: list[ProviderConfig] = []
            if nvidia_key:
                dedicated_fallbacks.append(
                    ProviderConfig(
                        name="nvidia-coder",
                        api_key=nvidia_key,
                        base_url="https://integrate.api.nvidia.com/v1",
                        default_model=os.getenv(
                            "NVIDIA_MODEL", "nvidia/nemotron-3-ultra-550b-a55b"
                        ),
                        purpose="coding",
                    )
                )
            rest = [
                provider for provider in client.providers
                if provider.name not in ("groq", "groq-coder", "nvidia", "nvidia-coder")
            ]
            client.providers = [coder, *dedicated_fallbacks, *rest]
            client.provider_name = coder.name
            client.default_model = coder.default_model
            client.client = client._client_for(coder)
            return client
        # Fallback OpenRouter: usa il pool multi-profilo, se configurato.
        if os.getenv("OPENROUTER_API_KEY") or os.getenv("OPENROUTER_PROFILES_JSON"):
            client = AIClient()
            profiles = [p for p in client.providers if p.name == "openrouter"]
            if not profiles and os.getenv("OPENROUTER_API_KEY"):
                profiles = [ProviderConfig(
                    name="openrouter", api_key=os.getenv("OPENROUTER_API_KEY", ""),
                    base_url="https://openrouter.ai/api/v1",
                    default_model=os.getenv("OPENROUTER_MODEL", "openrouter/free"),
                    profile="legacy",
                )]
            if profiles:
                client.providers = profiles + [p for p in client.providers if p.name != "openrouter"]
                client.provider_name = profiles[0].name
                client.default_model = profiles[0].default_model
                client.client = client._client_for(profiles[0])
            return client
        return AIClient()

    @staticmethod
    def _researcher_client() -> Any:
        """Groq GPT-OSS 120B per analisi e sintesi; la flotta restante è fallback.

        Gemini può essere configurato ma ha una quota indipendente e più stretta:
        non deve quindi bloccare i task della persona analyst/researcher quando
        Groq è sano. L'ordine conserva tutti i provider ordinari dopo Groq.
        """
        from models.ai_client import AIClient, ProviderConfig
        client = AIClient()
        profiled = RoleRouter._profiled_client(client, ("groq", "gemini", "openrouter"))
        if profiled:
            return profiled
        groq_key = os.getenv("GROQ_API_KEY")
        if groq_key:
            researcher = ProviderConfig(
                name="groq-researcher",
                api_key=groq_key,
                base_url="https://api.groq.com/openai/v1",
                default_model=os.getenv(
                    "GROQ_RESEARCH_MODEL",
                    os.getenv("GROQ_MODEL", "qwen/qwen3.6-27b"),
                ),
            )
            rest = [
                provider for provider in client.providers
                if provider.name not in ("groq", "groq-researcher")
            ]
            client.providers = [researcher, *rest]
            client.provider_name = researcher.name
            client.default_model = researcher.default_model
            client.client = client._client_for(researcher)
            return client
        return AIClient()

    @staticmethod
    def _reasoner_client() -> Any:
        """Priorità a Groq GPT-OSS per reasoning/MMLU, con flotta runtime come fallback.

        Gemini è soggetto a quote RPM e non deve essere il percorso iniziale per
        risposte deterministiche a scelta multipla. Cerebras resta un fallback
        compatibile quando Groq non è configurato."""
        from models.ai_client import AIClient, ProviderConfig
        client = AIClient()
        profiled = RoleRouter._profiled_client(client, ("groq", "cerebras", "gemini", "openrouter"))
        if profiled:
            return profiled
        groq_key = os.getenv("GROQ_API_KEY")
        if groq_key:
            reasoner = ProviderConfig(
                name="groq-reasoner",
                api_key=groq_key,
                base_url="https://api.groq.com/openai/v1",
                default_model=os.getenv(
                    "GROQ_REASONER_MODEL",
                    os.getenv("GROQ_MODEL", "qwen/qwen3.6-27b"),
                ),
            )
            rest = [
                provider for provider in client.providers
                if provider.name not in ("groq", "groq-reasoner")
            ]
            client.providers = [reasoner, *rest]
            client.provider_name = reasoner.name
            client.default_model = reasoner.default_model
            client.client = client._client_for(reasoner)
            return client

        cerebras_key = os.getenv("CEREBRAS_API_KEY")
        if not cerebras_key:
            return RoleRouter._coder_client()
        client = AIClient()
        reasoner = ProviderConfig(
            name="cerebras-reasoner",
            api_key=cerebras_key,
            base_url="https://api.cerebras.ai/v1",
            default_model=os.getenv("CEREBRAS_MODEL", "gpt-oss-120b"),
        )
        rest = [provider for provider in client.providers if not provider.name.startswith("cerebras")]
        client.providers = [reasoner, *rest]
        client.provider_name = reasoner.name
        client.default_model = reasoner.default_model
        client.client = client._client_for(reasoner)
        return client

    @staticmethod
    def _sambanova_client() -> Any:
        """SambaNova DeepSeek-V3.1 — 482ms TTFT, 100% qualità (bench 2026-06-14).
        gemma-4-31B-it: 100% ma 2132ms. Meta-Llama: rate-limited. gpt-oss-120b: ERR.
        Fallback: _architect_client (Groq) se SAMBANOVA_API_KEY mancante."""
        from models.ai_client import AIClient, ProviderConfig
        client = AIClient()
        profiled = RoleRouter._profiled_client(client, ("sambanova",))
        if profiled:
            return profiled
        sn_key = os.getenv("SAMBANOVA_API_KEY")
        if not sn_key:
            return RoleRouter._architect_client()
        client = AIClient()
        sambanova = ProviderConfig(
            name="sambanova",
            api_key=sn_key,
            base_url="https://api.sambanova.ai/v1",
            default_model=os.getenv("SAMBANOVA_MODEL", "DeepSeek-V3.2"),
        )
        rest = [p for p in client.providers if not p.name.startswith("sambanova")]
        client.providers = [sambanova, *rest]
        client.provider_name = sambanova.name
        client.default_model = sambanova.default_model
        client.client = client._client_for(sambanova)
        return client

    @staticmethod
    def _nvidia_client() -> Any:
        """NVIDIA NIM nemotron-3-ultra-550b-a55b — 550B params, 1M ctx, API OpenAI-compat.
        Fallback: _architect_client (Groq) se NVIDIA_API_KEY mancante."""
        from models.ai_client import AIClient, ProviderConfig
        client = AIClient()
        profiled = RoleRouter._profiled_client(client, ("nvidia",))
        if profiled:
            return profiled
        nvidia_key = os.getenv("NVIDIA_API_KEY")
        if not nvidia_key:
            return RoleRouter._architect_client()
        client = AIClient()
        nvidia = ProviderConfig(
            name="nvidia",
            api_key=nvidia_key,
            base_url="https://integrate.api.nvidia.com/v1",
            default_model=os.getenv("NVIDIA_MODEL", "nvidia/nemotron-3-ultra-550b-a55b"),
        )
        rest = [p for p in client.providers if not p.name.startswith("nvidia")]
        client.providers = [nvidia, *rest]
        client.provider_name = nvidia.name
        client.default_model = nvidia.default_model
        client.client = client._client_for(nvidia)
        return client

    @staticmethod
    def _tester_client() -> Any:
        """Groq GPT-OSS 20B per test rapidi e debug hints."""
        from models.ai_client import AIClient, ProviderConfig
        client = AIClient()
        profiled = RoleRouter._profiled_client(client, ("groq",))
        if profiled:
            return profiled
        groq_key = os.getenv("GROQ_API_KEY")
        if not groq_key:
            return client
        client = AIClient()
        tester = ProviderConfig(
            name="groq-tester",
            api_key=groq_key,
            base_url="https://api.groq.com/openai/v1",
            default_model=os.getenv("GROQ_FAST_MODEL", "qwen/qwen3.6-27b"),
            purpose="coding",
        )
        rest = [p for p in client.providers if p.name not in ("groq", "groq-tester")]
        client.providers = [tester, *rest]
        client.provider_name = tester.name
        client.default_model = tester.default_model
        client.client = client._client_for(tester)
        return client