orquestrador/app/services/flows/review_flow.py

import re
from datetime import datetime, timedelta
from app.core.time_utils import utc_now

from fastapi import HTTPException

from app.services.orchestration.orchestrator_config import (
    PENDING_REVIEW_DRAFT_TTL_MINUTES,
    REVIEW_REQUIRED_FIELDS,
)
from app.services.flows.review_flow_support import ReviewFlowStateSupport


# Esse mixin concentra os fluxos incrementais de revisao e pos-venda.
class ReviewFlowMixin:
    @property
    def _review_flow_state_support(self) -> ReviewFlowStateSupport:
        support = getattr(self, "__review_flow_state_support", None)
        if support is None:
            support = ReviewFlowStateSupport(self)
            setattr(self, "__review_flow_state_support", support)
        return support

    def _review_now(self) -> datetime:
        return self._review_flow_state_support.review_now()

    def _get_review_flow_snapshot(self, user_id: int | None, snapshot_key: str) -> dict | None:
        return self._review_flow_state_support.get_flow_snapshot(
            user_id=user_id,
            snapshot_key=snapshot_key,
        )

    def _set_review_flow_snapshot(
        self,
        user_id: int | None,
        snapshot_key: str,
        value: dict | None,
        *,
        active_task: str | None = None,
    ) -> None:
        self._review_flow_state_support.set_flow_snapshot(
            user_id=user_id,
            snapshot_key=snapshot_key,
            value=value,
            active_task=active_task,
        )

    def _get_review_flow_entry(self, bucket: str, user_id: int | None, snapshot_key: str) -> dict | None:
        return self._review_flow_state_support.get_flow_entry(
            bucket=bucket,
            user_id=user_id,
            snapshot_key=snapshot_key,
        )

    def _set_review_flow_entry(
        self,
        bucket: str,
        user_id: int | None,
        snapshot_key: str,
        value: dict,
        *,
        active_task: str | None = None,
    ) -> None:
        self._review_flow_state_support.set_flow_entry(
            bucket=bucket,
            user_id=user_id,
            snapshot_key=snapshot_key,
            value=value,
            active_task=active_task,
        )

    def _pop_review_flow_entry(
        self,
        bucket: str,
        user_id: int | None,
        snapshot_key: str,
        *,
        active_task: str | None = None,
    ) -> dict | None:
        return self._review_flow_state_support.pop_flow_entry(
            bucket=bucket,
            user_id=user_id,
            snapshot_key=snapshot_key,
            active_task=active_task,
        )

    def _decision_intent(self, turn_decision: dict | None) -> str:
        return str((turn_decision or {}).get("intent") or "").strip().lower()

    def _log_review_flow_source(
        self,
        source: str,
        payload: dict | None = None,
        missing_fields: list[str] | None = None,
    ) -> None:
        self._review_flow_state_support.log_review_flow_source(
            source=source,
            payload=payload,
            missing_fields=missing_fields,
        )

    def _active_domain(self, user_id: int | None) -> str:
        return self._review_flow_state_support.active_domain(user_id=user_id)

    def _clean_review_model_candidate(self, raw_model: str | None) -> str | None:
        text = str(raw_model or "").strip(" ,.;:-")
        if not text:
            return None
        text = re.sub(r"\s+", " ", text)
        text = re.sub(r"\be\b$", "", text).strip(" ,.;:-")
        if not text:
            return None
        stop_terms = {
            "amanha",
            "hoje",
            "revisao",
            "agendar",
            "marcar",
            "cancelar",
            "pedido",
            "sim",
            "nao",
            "ok",
            "pode",
        }
        lowered = text.lower()
        if lowered in stop_terms:
            return None
        if any(term in lowered for term in {"agendar revisao", "marcar revisao", "cancelar revisao"}):
            return None
        if not re.search(r"[a-z]", lowered):
            return None
        if len(text.split()) > 4:
            return None
        return text.title()

    def _extract_review_model_from_message(self, normalized_message: str) -> str | None:
        explicit_match = re.search(
            r"(?:modelo do meu carro (?:e|eh)?|meu carro (?:e|eh)?|carro (?:e|eh)?|veiculo (?:e|eh)?)\s+([a-z0-9][a-z0-9\s-]{1,30})",
            normalized_message,
            flags=re.IGNORECASE,
        )
        if explicit_match:
            raw_model = explicit_match.group(1)
            raw_model = re.split(r"\b(?:ele e|ele eh|ano|placa|km|quilometragem|data|amanha|hoje)\b", raw_model, maxsplit=1)[0]
            return self._clean_review_model_candidate(raw_model)

        has_year = bool(re.search(r"(?<!\d)(19\d{2}|20\d{2}|2100)(?!\d)", normalized_message))
        has_km = bool(re.search(r"(?<!\d)(\d{1,3}(?:[.\s]\d{3})+|\d{2,6})\s*km\b", normalized_message, flags=re.IGNORECASE))
        has_review_history = any(
            term in normalized_message
            for term in {
                "nunca fiz revisao",
                "nao fiz revisao",
                "nunca revisei",
                "ja fiz revisao",
                "fiz revisao",
                "ja revisei",
            }
        )
        token_count = len([token for token in normalized_message.split() if token])
        if not (has_year or has_km or has_review_history or token_count <= 3):
            return None

        raw_model = normalized_message
        raw_model = re.split(r"(?<!\d)(?:19\d{2}|20\d{2}|2100)(?!\d)", raw_model, maxsplit=1)[0]
        raw_model = re.split(r"(?<!\d)(?:\d{1,3}(?:[.\s]\d{3})+|\d{2,6})\s*km\b", raw_model, maxsplit=1, flags=re.IGNORECASE)[0]
        raw_model = re.split(
            r"\b(?:placa|quilometragem|data|amanha|hoje|nunca fiz revisao|nao fiz revisao|nunca revisei|ja fiz revisao|fiz revisao|ja revisei|na concessionaria|concessionaria)\b",
            raw_model,
            maxsplit=1,
        )[0]
        raw_model = re.sub(r"^(?:modelo(?: do meu carro)?|meu carro|carro|veiculo)\s+(?:e|eh)?\s+", "", raw_model).strip()
        return self._clean_review_model_candidate(raw_model)

    def _supplement_review_fields_from_message(self, message: str, payload: dict) -> None:
        if not isinstance(payload, dict):
            return

        normalized_message = self._normalize_text(message).strip()

        if "placa" not in payload:
            for token in str(message or "").split():
                normalized_plate = self.normalizer.normalize_plate(token)
                if normalized_plate:
                    payload["placa"] = normalized_plate
                    break

        if "data_hora" not in payload:
            normalized_datetime = self.normalizer.normalize_review_datetime_text(
                message,
                now_provider=self._review_now,
            )
            if normalized_datetime and normalized_datetime != str(message or "").strip():
                payload["data_hora"] = normalized_datetime

        if "km" not in payload:
            km_match = re.search(r"(?<!\d)(\d{1,3}(?:[.\s]\d{3})+|\d{2,6})\s*km\b", normalized_message, flags=re.IGNORECASE)
            if km_match:
                km_value = self.normalizer.normalize_positive_number(km_match.group(1))
                if km_value:
                    payload["km"] = int(round(km_value))

        if "revisao_previa_concessionaria" not in payload:
            if any(term in normalized_message for term in {"nunca fiz revisao", "nao fiz revisao", "nunca revisei"}):
                payload["revisao_previa_concessionaria"] = False
            elif any(term in normalized_message for term in {"ja fiz revisao", "fiz revisao", "ja revisei"}):
                payload["revisao_previa_concessionaria"] = True

        if "ano" not in payload:
            year_match = re.search(r"(?<!\d)(19\d{2}|20\d{2}|2100)(?!\d)", normalized_message)
            if year_match:
                payload["ano"] = int(year_match.group(1))

        if "modelo" not in payload:
            extracted_model = self._extract_review_model_from_message(normalized_message)
            if extracted_model:
                payload["modelo"] = extracted_model

    def _extract_review_date_only_text(self, message: str) -> str | None:
        text = self.normalizer.normalize_datetime_connector(message)
        patterns = (
            r"(?<!\d)(?P<day>\d{1,2})[/-](?P<month>\d{1,2})[/-](?P<year>\d{4})(?!\s+\d{1,2}:\d{2})(?!\d)",
            r"(?<!\d)(?P<year>\d{4})[/-](?P<month>\d{1,2})[/-](?P<day>\d{1,2})(?!\s+\d{1,2}:\d{2})(?!\d)",
        )
        for pattern in patterns:
            match = re.search(pattern, str(text or ""))
            if not match:
                continue
            parts = match.groupdict()
            return f"{int(parts['day']):02d}/{int(parts['month']):02d}/{int(parts['year']):04d}"

        normalized_text = self._normalize_text(message).strip()
        if self.normalizer.extract_hhmm_from_text(message):
            return None
        if "hoje" in normalized_text:
            return self._review_now().strftime("%d/%m/%Y")
        if "amanha" in normalized_text:
            return (self._review_now() + timedelta(days=1)).strftime("%d/%m/%Y")
        return None

    def _merge_review_base_date_with_time(self, message: str, payload: dict) -> None:
        if not isinstance(payload, dict):
            return
        if payload.get("data_hora") or not payload.get("data_hora_base"):
            return
        time_text = self.normalizer.extract_hhmm_from_text(message)
        if not time_text:
            return
        payload["data_hora"] = f"{payload['data_hora_base']} {time_text}"
        payload.pop("data_hora_base", None)

    def _store_review_base_date_from_message(self, message: str, payload: dict) -> None:
        if not isinstance(payload, dict):
            return
        if payload.get("data_hora") or payload.get("data_hora_base"):
            return
        date_only = self._extract_review_date_only_text(message)
        if not date_only:
            return
        payload["data_hora_base"] = date_only

    def _extract_review_management_datetime_from_message(self, message: str) -> str | None:
        return self.normalizer.normalize_review_datetime_text(
            message,
            now_provider=self._review_now,
        )

    def _merge_review_management_base_date_with_time(self, message: str, payload: dict) -> None:
        if not isinstance(payload, dict):
            return
        if payload.get("nova_data_hora") or not payload.get("nova_data_hora_base"):
            return
        time_text = self.normalizer.extract_hhmm_from_text(message)
        if not time_text:
            return
        payload["nova_data_hora"] = f"{payload['nova_data_hora_base']} {time_text}"
        payload.pop("nova_data_hora_base", None)

    def _store_review_management_base_date_from_message(self, message: str, payload: dict) -> None:
        if not isinstance(payload, dict):
            return
        if payload.get("nova_data_hora") or payload.get("nova_data_hora_base"):
            return
        date_only = self._extract_review_date_only_text(message)
        if not date_only:
            return
        payload["nova_data_hora_base"] = date_only

    def _is_review_temporal_follow_up(self, message: str, payload: dict | None) -> bool:
        if not isinstance(payload, dict):
            return False
        if payload.get("data_hora"):
            return False
        has_time = bool(self.normalizer.extract_hhmm_from_text(message))
        if has_time and payload.get("data_hora_base"):
            return True
        has_date_only = bool(self._extract_review_date_only_text(message))
        if has_date_only and not payload.get("data_hora"):
            return True
        return False

    def _infer_review_management_action(
        self,
        message: str,
        extracted_fields: dict | None = None,
    ) -> str | None:
        normalized_message = self._normalize_text(message).strip()
        management_fields = self._normalize_review_management_fields(extracted_fields)
        has_protocol = bool(management_fields.get("protocolo") or self._extract_review_protocol_from_text(message))

        if any(term in normalized_message for term in {"agendamento", "agendamentos"}) and any(
            term in normalized_message for term in {"listar", "liste", "mostrar", "mostre", "ver", "consultar"}
        ):
            return "list"

        if not has_protocol:
            return None

        if any(term in normalized_message for term in {"remarcar", "reagendar", "alterar data", "mudar data", "trocar data"}):
            return "reschedule"
        if any(term in normalized_message for term in {"cancelar", "cancelamento", "desmarcar"}):
            return "cancel"
        return None

    def _extract_review_cancel_reason_from_message(self, message: str) -> str | None:
        raw_message = str(message or "").strip()
        if len(raw_message) < 4:
            return None
        patterns = (
            r"\bporque\b",
            r"\bpois\b",
            r"\bpor conta de\b",
            r"\bmotivo(?: do cancelamento)?\b\s*[:\-]?",
            r"\bja que\b",
        )
        for pattern in patterns:
            match = re.search(pattern, raw_message, flags=re.IGNORECASE)
            if not match:
                continue
            reason = raw_message[match.end():].strip(" ,.;:-")
            if len(reason) >= 4:
                return reason
        return None

    def _should_bootstrap_review_from_active_context(self, message: str, payload: dict | None = None) -> bool:
        normalized_message = self._normalize_text(message).strip()
        normalized_payload = payload if isinstance(payload, dict) else {}
        if normalized_payload:
            return True
        explicit_review_terms = {
            "agendar revisao",
            "marcar revisao",
            "nova revisao",
            "revisao agora",
            "revisao",
        }
        return any(term in normalized_message for term in explicit_review_terms)

    def _is_explicit_review_reuse_request(self, message: str) -> bool:
        normalized_message = self._normalize_text(message).strip()
        reuse_terms = {
            "reutilizar",
            "reaproveitar",
            "usar de novo",
            "usar novamente",
            "mesmo carro",
            "ultimo carro",
            "ultimo veiculo",
            "ultimo veículo",
        }
        if not any(term in normalized_message for term in reuse_terms):
            return False
        return any(term in normalized_message for term in {"carro", "veiculo", "veículo", "informacoes", "dados"})

    async def _try_handle_review_management(
        self,
        message: str,
        user_id: int | None,
        extracted_fields: dict | None = None,
        intents: dict | None = None,
        turn_decision: dict | None = None,
    ) -> str | None:
        if user_id is None:
            return None
        normalized_intents = self._normalize_intents(intents)
        draft = self._get_review_flow_entry("pending_review_management_drafts", user_id, "review_management")
        schedule_draft = self._get_review_flow_entry("pending_review_drafts", user_id, "review_schedule")
        pending_reuse = self._get_review_flow_entry(
            "pending_review_reuse_confirmations",
            user_id,
            "review_reuse_confirmation",
        )
        decision_intent = self._decision_intent(turn_decision)
        inferred_action = self._infer_review_management_action(message=message, extracted_fields=extracted_fields)
        normalized_fields = self._normalize_review_management_fields(extracted_fields)
        protocol_in_message = normalized_fields.get("protocolo") or self._extract_review_protocol_from_text(message)
        open_schedule_context = bool(schedule_draft or pending_reuse)

        has_list_intent = (
            decision_intent == "review_list"
            or normalized_intents.get("review_list", False)
            or inferred_action == "list"
        )
        has_cancel_intent = (
            decision_intent == "review_cancel"
            or normalized_intents.get("review_cancel", False)
            or inferred_action == "cancel"
        )
        has_reschedule_intent = (
            decision_intent == "review_reschedule"
            or normalized_intents.get("review_reschedule", False)
            or inferred_action == "reschedule"
        )

        if open_schedule_context and not protocol_in_message and inferred_action is None:
            return None

        if (decision_intent == "review_schedule" or normalized_intents.get("review_schedule", False)) and inferred_action is None:
            if draft is not None:
                self._pop_review_flow_entry(
                    "pending_review_management_drafts",
                    user_id,
                    "review_management",
                    active_task="review_management",
                )
                draft = None
            return None

        if has_list_intent:
            self._reset_pending_review_states(user_id=user_id)
            try:
                tool_result = await self.tool_executor.execute(
                    "listar_agendamentos_revisao",
                    {"limite": 100},
                    user_id=user_id,
                )
            except HTTPException as exc:
                return self._http_exception_detail(exc)
            return self._fallback_format_tool_result("listar_agendamentos_revisao", tool_result)

        if not has_cancel_intent and not has_reschedule_intent and draft is None:
            return None

        if draft is None:
            action = "reschedule" if has_reschedule_intent else "cancel"
            draft = {
                "action": action,
                "payload": {},
                "expires_at": utc_now() + timedelta(minutes=PENDING_REVIEW_DRAFT_TTL_MINUTES),
            }
        else:
            if has_reschedule_intent:
                draft["action"] = "reschedule"
            elif has_cancel_intent:
                draft["action"] = "cancel"

        extracted = self._normalize_review_management_fields(extracted_fields)
        if "protocolo" not in extracted:
            inferred_protocol = self._extract_review_protocol_from_text(message)
            if inferred_protocol:
                extracted["protocolo"] = inferred_protocol

        action = draft.get("action", "cancel")
        current_protocol = extracted.get("protocolo") or draft["payload"].get("protocolo")
        if action == "reschedule" and "nova_data_hora" not in extracted:
            normalized_new_datetime = self._extract_review_management_datetime_from_message(message)
            if normalized_new_datetime:
                extracted["nova_data_hora"] = normalized_new_datetime
        if action == "cancel" and "motivo" not in extracted and current_protocol:
            inferred_reason = self._extract_review_cancel_reason_from_message(message)
            if inferred_reason:
                extracted["motivo"] = inferred_reason
            elif not has_cancel_intent:
                free_text = str(message or "").strip()
                if free_text and len(free_text) >= 4 and not self._is_affirmative_message(free_text):
                    extracted["motivo"] = free_text

        draft["payload"].update(extracted)
        if action == "reschedule":
            self._merge_review_management_base_date_with_time(message=message, payload=draft["payload"])
            if "nova_data_hora" not in draft["payload"]:
                self._store_review_management_base_date_from_message(message=message, payload=draft["payload"])
        draft["expires_at"] = utc_now() + timedelta(minutes=PENDING_REVIEW_DRAFT_TTL_MINUTES)
        self._set_review_flow_entry(
            "pending_review_management_drafts",
            user_id,
            "review_management",
            draft,
            active_task="review_management",
        )

        if action == "reschedule":
            missing = [field for field in ("protocolo", "nova_data_hora") if field not in draft["payload"]]
            if missing:
                if missing == ["nova_data_hora"] and draft["payload"].get("nova_data_hora_base"):
                    return (
                        f"Perfeito. Tenho a data {draft['payload']['nova_data_hora_base']}. "
                        "Agora me informe o horario desejado para a revisao."
                    )
                return self._render_missing_review_reschedule_fields_prompt(missing)
            try:
                tool_result = await self.tool_executor.execute(
                    "editar_data_revisao",
                    {
                        "protocolo": draft["payload"]["protocolo"],
                        "nova_data_hora": draft["payload"]["nova_data_hora"],
                    },
                    user_id=user_id,
                )
            except HTTPException as exc:
                error = self.tool_executor.coerce_http_error(exc)
                if error.get("retryable") and error.get("field"):
                    draft["payload"].pop(str(error["field"]), None)
                    draft["expires_at"] = utc_now() + timedelta(minutes=PENDING_REVIEW_DRAFT_TTL_MINUTES)
                    self._set_review_flow_entry(
                        "pending_review_management_drafts",
                        user_id,
                        "review_management",
                        draft,
                        active_task="review_management",
                    )
                return self._http_exception_detail(exc)
            self._pop_review_flow_entry(
                "pending_review_management_drafts",
                user_id,
                "review_management",
                active_task="review_management",
            )
            return self._fallback_format_tool_result("editar_data_revisao", tool_result)

        missing = [field for field in ("protocolo",) if field not in draft["payload"]]
        if missing:
            return self._render_missing_review_cancel_fields_prompt(missing)
        try:
            tool_result = await self.tool_executor.execute(
                "cancelar_agendamento_revisao",
                {
                    "protocolo": draft["payload"]["protocolo"],
                    "motivo": draft["payload"].get("motivo"),
                },
                user_id=user_id,
            )
        except HTTPException as exc:
            error = self.tool_executor.coerce_http_error(exc)
            if error.get("retryable") and error.get("field"):
                draft["payload"].pop(str(error["field"]), None)
                draft["expires_at"] = utc_now() + timedelta(minutes=PENDING_REVIEW_DRAFT_TTL_MINUTES)
                self._set_review_flow_entry(
                    "pending_review_management_drafts",
                    user_id,
                    "review_management",
                    draft,
                    active_task="review_management",
                )
            return self._http_exception_detail(exc)
        self._pop_review_flow_entry(
            "pending_review_management_drafts",
            user_id,
            "review_management",
            active_task="review_management",
        )
        return self._fallback_format_tool_result("cancelar_agendamento_revisao", tool_result)

    def _render_missing_review_fields_prompt(self, missing_fields: list[str], payload: dict | None = None) -> str:
        labels = {
            "placa": "a placa do veiculo",
            "data_hora": "a data e hora desejada para a revisao",
            "modelo": "o modelo do veiculo",
            "ano": "o ano do veiculo",
            "km": "a quilometragem atual (km)",
            "revisao_previa_concessionaria": "se ja fez revisao na concessionaria (sim/nao)",
        }
        if isinstance(payload, dict) and payload.get("data_hora_base") and "data_hora" in missing_fields:
            itens = ["- o horario desejado para a revisao"]
            itens.extend(f"- {labels[field]}" for field in missing_fields if field != "data_hora")
            return (
                f"Perfeito. Tenho a data {payload['data_hora_base']}. "
                "Para agendar sua revisao, ainda preciso dos dados abaixo:\n"
                + "\n".join(itens)
            )
        itens = [f"- {labels[field]}" for field in missing_fields]
        return "Para agendar sua revisao, preciso dos dados abaixo:\n" + "\n".join(itens)

    def _render_missing_review_cancel_fields_prompt(self, missing_fields: list[str]) -> str:
        labels = {
            "protocolo": "o protocolo da revisao (ex.: REV-20260310-ABC12345)",
        }
        itens = [f"- {labels[field]}" for field in missing_fields]
        return "Para cancelar o agendamento de revisao, preciso dos dados abaixo:\n" + "\n".join(itens)

    def _render_missing_review_reschedule_fields_prompt(self, missing_fields: list[str]) -> str:
        labels = {
            "protocolo": "o protocolo da revisao (ex.: REV-20260310-ABC12345)",
            "nova_data_hora": "a nova data e hora desejada para a revisao",
        }
        itens = [f"- {labels[field]}" for field in missing_fields]
        return "Para remarcar sua revisao, preciso dos dados abaixo:\n" + "\n".join(itens)

    def _render_review_reuse_question(self, payload: dict | None = None) -> str:
        package = payload if isinstance(payload, dict) else {}
        plate = str(package.get("placa") or "").strip()
        model = str(package.get("modelo") or "").strip()

        vehicle_label = ""
        if plate and model:
            vehicle_label = f" do ultimo veiculo ({model}, placa {plate})"
        elif plate:
            vehicle_label = f" do ultimo veiculo (placa {plate})"
        elif model:
            vehicle_label = f" do ultimo veiculo ({model})"

        return (
            f"Posso reutilizar os dados{vehicle_label} e voce me passa so a nova data/hora da revisao? "
            "(sim/nao)"
        )

    def _store_last_review_package(self, user_id: int | None, payload: dict | None) -> None:
        self._review_flow_state_support.store_last_review_package(
            user_id=user_id,
            payload=payload,
        )

    def _get_last_review_package(self, user_id: int | None) -> dict | None:
        return self._review_flow_state_support.get_last_review_package(user_id=user_id)

    async def _try_collect_and_schedule_review(
        self,
        message: str,
        user_id: int | None,
        extracted_fields: dict | None = None,
        intents: dict | None = None,
        turn_decision: dict | None = None,
    ) -> str | None:
        if user_id is None:
            return None

        normalized_intents = self._normalize_intents(intents)
        decision_intent = self._decision_intent(turn_decision)
        has_intent = decision_intent == "review_schedule" or normalized_intents.get("review_schedule", False)
        has_management_intent = (
            decision_intent in {"review_list", "review_cancel", "review_reschedule"}
            or normalized_intents.get("review_list", False)
            or normalized_intents.get("review_cancel", False)
            or normalized_intents.get("review_reschedule", False)
        )
        if self._infer_review_management_action(message=message, extracted_fields=extracted_fields):
            return None

        if has_management_intent:
            self._pop_review_flow_entry(
                "pending_review_drafts",
                user_id,
                "review_schedule",
                active_task="review_schedule",
            )
            self._pop_review_flow_entry(
                "pending_review_reuse_confirmations",
                user_id,
                "review_reuse_confirmation",
            )
            return None

        draft = self._get_review_flow_entry("pending_review_drafts", user_id, "review_schedule")
        extracted = self._normalize_review_fields(extracted_fields)
        pending_reuse = self._get_review_flow_entry(
            "pending_review_reuse_confirmations",
            user_id,
            "review_reuse_confirmation",
        )
        pending_confirmation = self._get_review_flow_entry(
            "pending_review_confirmations",
            user_id,
            "review_confirmation",
        )
        active_review_context = self._active_domain(user_id) == "review"
        review_flow_source = "draft" if draft else None

        if has_intent and draft is None and pending_confirmation and not self._is_affirmative_message(message):
            self._pop_review_flow_entry(
                "pending_review_confirmations",
                user_id,
                "review_confirmation",
            )
            pending_confirmation = None

        if pending_reuse:
            should_reuse = False
            date_only = self._extract_review_date_only_text(message)
            has_explicit_time = bool(self.normalizer.extract_hhmm_from_text(message))
            if date_only and not has_explicit_time:
                extracted.pop("data_hora", None)
            if self._is_negative_message(message):
                self._pop_review_flow_entry(
                    "pending_review_reuse_confirmations",
                    user_id,
                    "review_reuse_confirmation",
                )
                pending_reuse = None
                if not extracted:
                    draft = {
                        "payload": {},
                        "expires_at": utc_now() + timedelta(minutes=PENDING_REVIEW_DRAFT_TTL_MINUTES),
                    }
                    self._set_review_flow_entry(
                        "pending_review_drafts",
                        user_id,
                        "review_schedule",
                        draft,
                        active_task="review_schedule",
                    )
                    self._log_review_flow_source(
                        source="last_review_package",
                        payload=draft["payload"],
                        missing_fields=list(REVIEW_REQUIRED_FIELDS),
                    )
                    return self._render_missing_review_fields_prompt(list(REVIEW_REQUIRED_FIELDS))
            elif self._is_affirmative_message(message) or "data_hora" in extracted:
                should_reuse = True
            elif date_only:
                should_reuse = True
            else:
                self._log_review_flow_source(source="last_review_package", payload=pending_reuse.get("payload"))
                return self._render_review_reuse_question(pending_reuse.get("payload"))

            if should_reuse:
                seed_payload = dict(pending_reuse.get("payload") or {})
                if draft is None:
                    draft = {
                        "payload": seed_payload,
                        "expires_at": utc_now() + timedelta(minutes=PENDING_REVIEW_DRAFT_TTL_MINUTES),
                    }
                else:
                    for key, value in seed_payload.items():
                        draft["payload"].setdefault(key, value)
                self._pop_review_flow_entry(
                    "pending_review_reuse_confirmations",
                    user_id,
                    "review_reuse_confirmation",
                )
                review_flow_source = "last_review_package"
                if date_only and not extracted.get("data_hora"):
                    draft["payload"]["data_hora_base"] = date_only
                    self._set_review_flow_entry(
                        "pending_review_drafts",
                        user_id,
                        "review_schedule",
                        draft,
                        active_task="review_schedule",
                    )
                    self._log_review_flow_source(
                        source=review_flow_source,
                        payload=draft["payload"],
                        missing_fields=["data_hora"],
                    )
                    return f"Perfeito. Tenho a data {date_only}. Agora me informe o horario desejado para a revisao."
                if "data_hora" not in extracted:
                    self._set_review_flow_entry(
                        "pending_review_drafts",
                        user_id,
                        "review_schedule",
                        draft,
                        active_task="review_schedule",
                    )
                    self._log_review_flow_source(source=review_flow_source, payload=draft["payload"], missing_fields=["data_hora"])
                    return "Perfeito. Me informe apenas a data e hora desejada para a revisao."

        last_package = self._get_last_review_package(user_id=user_id)
        explicit_reuse_request = self._is_explicit_review_reuse_request(message)
        active_context_reuse_request = (
            active_review_context
            and draft is None
            and self._should_bootstrap_review_from_active_context(message=message, payload=extracted)
        )
        should_offer_reuse = bool(last_package) and not pending_reuse and (
            (has_intent and draft is None)
            or explicit_reuse_request
            or active_context_reuse_request
        )
        if should_offer_reuse:
            self._set_review_flow_entry(
                "pending_review_reuse_confirmations",
                user_id,
                "review_reuse_confirmation",
                {
                    "payload": last_package,
                    "expires_at": utc_now() + timedelta(minutes=PENDING_REVIEW_DRAFT_TTL_MINUTES),
                },
            )
            self._log_review_flow_source(source="last_review_package", payload=last_package)
            return self._render_review_reuse_question(last_package)

        if (
            draft
            and not has_intent
            and (
                decision_intent in {"order_create", "order_cancel"}
                or normalized_intents.get("order_create", False)
                or normalized_intents.get("order_cancel", False)
            )
            and not extracted
        ):
            if not self._is_review_temporal_follow_up(message=message, payload=draft.get("payload")):
                self._pop_review_flow_entry(
                    "pending_review_drafts",
                    user_id,
                    "review_schedule",
                    active_task="review_schedule",
                )
                return None

        bootstrap_payload = dict(extracted)
        self._supplement_review_fields_from_message(message=message, payload=bootstrap_payload)
        self._try_prefill_review_fields_from_memory(user_id=user_id, payload=bootstrap_payload)

        should_bootstrap_from_context = (
            active_review_context
            and self._should_bootstrap_review_from_active_context(message=message, payload=bootstrap_payload)
        )
        if not has_intent and draft is None and not should_bootstrap_from_context:
            return None

        if draft is None:
            # Cria um draft com TTL para permitir coleta do agendamento
            # em varias mensagens sem perder o progresso.
            review_flow_source = "active_domain_fallback" if should_bootstrap_from_context and not has_intent else "intent_bootstrap"
            draft = {
                "payload": dict(bootstrap_payload),
                "expires_at": utc_now() + timedelta(minutes=PENDING_REVIEW_DRAFT_TTL_MINUTES),
            }

        draft["payload"].update(extracted)
        self._merge_review_base_date_with_time(message=message, payload=draft["payload"])
        self._supplement_review_fields_from_message(message=message, payload=draft["payload"])
        self._merge_review_base_date_with_time(message=message, payload=draft["payload"])
        self._store_review_base_date_from_message(message=message, payload=draft["payload"])
        self._merge_review_base_date_with_time(message=message, payload=draft["payload"])
        self._try_prefill_review_fields_from_memory(user_id=user_id, payload=draft["payload"])
        if (
            "revisao_previa_concessionaria" not in draft["payload"]
            and draft["payload"]
            and not extracted
        ):
            if self._is_affirmative_message(message):
                draft["payload"]["revisao_previa_concessionaria"] = True
            elif self._is_negative_message(message):
                draft["payload"]["revisao_previa_concessionaria"] = False
        draft["expires_at"] = utc_now() + timedelta(minutes=PENDING_REVIEW_DRAFT_TTL_MINUTES)
        self._set_review_flow_entry(
            "pending_review_drafts",
            user_id,
            "review_schedule",
            draft,
            active_task="review_schedule",
        )

        missing = [field for field in REVIEW_REQUIRED_FIELDS if field not in draft["payload"]]
        if missing:
            self._log_review_flow_source(source=review_flow_source or "draft", payload=draft["payload"], missing_fields=missing)
            if missing == ["data_hora"] and draft["payload"].get("data_hora_base"):
                return (
                    f"Perfeito. Tenho a data {draft['payload']['data_hora_base']}. "
                    "Agora me informe o horario desejado para a revisao."
                )
            return self._render_missing_review_fields_prompt(missing, payload=draft["payload"])

        try:
            tool_result = await self.tool_executor.execute(
                "agendar_revisao",
                draft["payload"],
                user_id=user_id,
            )
        except HTTPException as exc:
            error = self.tool_executor.coerce_http_error(exc)
            self._capture_review_confirmation_suggestion(
                tool_name="agendar_revisao",
                arguments=draft["payload"],
                exc=exc,
                user_id=user_id,
            )
            if error.get("retryable") and error.get("field"):
                draft["payload"].pop(str(error["field"]), None)
            draft["expires_at"] = utc_now() + timedelta(minutes=PENDING_REVIEW_DRAFT_TTL_MINUTES)
            self._set_review_flow_entry(
                "pending_review_drafts",
                user_id,
                "review_schedule",
                draft,
                active_task="review_schedule",
            )
            self._log_review_flow_source(source=review_flow_source or "draft", payload=draft["payload"])
            return self._http_exception_detail(exc)

        self._pop_review_flow_entry(
            "pending_review_drafts",
            user_id,
            "review_schedule",
            active_task="review_schedule",
        )
        self._store_last_review_package(user_id=user_id, payload=draft["payload"])
        self._log_review_flow_source(source=review_flow_source or "draft", payload=draft["payload"])
        if hasattr(self, "_capture_successful_tool_side_effects"):
            self._capture_successful_tool_side_effects(
                tool_name="agendar_revisao",
                arguments=draft["payload"],
                tool_result=tool_result,
                user_id=user_id,
            )
        return self._fallback_format_tool_result("agendar_revisao", tool_result)