from __future__ import annotations

from typing import Any

from .client import MemoryGatewayClient
from .config import PluginConfig, load_config
from .safety import validate_memory_write


FEEDBACK_MAP = {
    "confirm": "useful",
    "correct": "useful",
    "useful": "useful",
    "delete": "incorrect",
    "reject": "incorrect",
    "incorrect": "incorrect",
    "duplicate": "duplicate",
    "outdated": "outdated",
    "not_useful": "not_useful",
}


def _client(client: MemoryGatewayClient | None = None) -> MemoryGatewayClient:
    return client or MemoryGatewayClient()


def _context_payload(user_id: str, agent_id: str = "", workspace_id: str = "", session_id: str = "") -> dict[str, Any]:
    payload: dict[str, Any] = {"user_id": user_id}
    if agent_id:
        payload["agent_id"] = agent_id
    if workspace_id:
        payload["workspace_id"] = workspace_id
    if session_id:
        payload["session_id"] = session_id
    return payload


def memory_search(
    query: str,
    user_id: str,
    agent_id: str = "",
    workspace_id: str = "",
    session_id: str = "",
    namespaces: list[str] | None = None,
    memory_types: list[str] | None = None,
    tags: list[str] | None = None,
    limit: int = 5,
    client: MemoryGatewayClient | None = None,
) -> dict[str, Any]:
    if not query or not query.strip():
        return {"ok": False, "error": "query_required"}
    payload = _context_payload(user_id, agent_id, workspace_id, session_id)
    payload.update(
        {
            "query": query.strip(),
            "namespaces": namespaces or [],
            "memory_types": memory_types or [],
            "tags": tags or [],
            "limit": limit,
        }
    )
    return _client(client).search_memory(payload)


def memory_append_episode(
    user_id: str,
    agent_id: str,
    session_id: str,
    content: str = "",
    episode_summary: str = "",
    workspace_id: str = "",
    source: str = "conversation",
    tags: list[str] | None = None,
    importance: float | None = None,
    confidence: float | None = None,
    client: MemoryGatewayClient | None = None,
) -> dict[str, Any]:
    candidate = (episode_summary or content or "").strip()
    validation = validate_memory_write(candidate)
    if not validation["allowed"]:
        return {"ok": False, "error": "memory_write_rejected", "reason": validation["reason"]}
    payload = _context_payload(user_id, agent_id, workspace_id, session_id)
    payload.update({"content": validation["sanitized_content"], "tags": tags or [], "source": source})
    if importance is not None:
        payload["events"] = [{"type": "importance_hint", "value": importance}]
    if confidence is not None:
        payload.setdefault("events", []).append({"type": "confidence_hint", "value": confidence})
    return _client(client).append_episode(payload)


def memory_commit_session(
    user_id: str,
    agent_id: str,
    session_id: str,
    workspace_id: str = "",
    promote: bool = True,
    min_importance: float = 0.6,
    client: MemoryGatewayClient | None = None,
) -> dict[str, Any]:
    payload = _context_payload(user_id, agent_id, workspace_id, session_id)
    payload.update({"promote": promote, "min_importance": min_importance})
    return _client(client).commit_session(session_id, payload)


def memory_upsert(
    user_id: str,
    agent_id: str,
    content: str,
    workspace_id: str = "",
    namespace: str = "",
    memory_type: str = "fact",
    summary: str = "",
    tags: list[str] | None = None,
    importance: float = 0.5,
    confidence: float = 0.8,
    visibility: str = "private",
    source: str = "agent",
    client: MemoryGatewayClient | None = None,
) -> dict[str, Any]:
    validation = validate_memory_write(content)
    if not validation["allowed"]:
        return {"ok": False, "error": "memory_write_rejected", "reason": validation["reason"]}
    payload = _context_payload(user_id, agent_id, workspace_id)
    payload.update(
        {
            "namespace": namespace or None,
            "memory_type": memory_type,
            "content": validation["sanitized_content"],
            "summary": summary or None,
            "tags": tags or [],
            "importance": importance,
            "confidence": confidence,
            "visibility": visibility,
            "source": source,
        }
    )
    return _client(client).upsert_memory(payload)


def memory_feedback(
    user_id: str,
    agent_id: str,
    memory_id: str,
    feedback: str,
    workspace_id: str = "",
    session_id: str = "",
    comment: str = "",
    client: MemoryGatewayClient | None = None,
) -> dict[str, Any]:
    mapped_feedback = FEEDBACK_MAP.get(feedback, feedback)
    payload = _context_payload(user_id, agent_id, workspace_id, session_id)
    payload.update({"feedback": mapped_feedback, "comment": comment or None})
    return _client(client).send_feedback(memory_id, payload)


def default_context(config: PluginConfig | None = None) -> dict[str, str]:
    cfg = config or load_config()
    return {
        "user_id": cfg.default_user_id,
        "agent_id": cfg.default_agent_id,
        "workspace_id": cfg.default_workspace_id,
    }