from __future__ import annotations

import re

from src.schemas import RouteDecision


COMPLEX_TERMS = (
    "build", "create", "modify", "debug", "script", "api", "repository", "repo",
    "scrape", "automate", "test", "programming", "code", "deploy", "generate files",
    "investigate", "fix", "browser automation", "monitor", "implement", "write code",
    "make an app", "generate a file", "run tests", "check this repo",
)
COMPLEX_ACTION_TERMS = (
    "build", "create", "modify", "debug", "script", "scrape", "automate",
    "implement", "write code", "make an app", "generate a file", "run tests",
    "fix", "monitor",
)
DIRECT_SEARCH_TERMS = (
    "find", "search", "look up", "lookup", "google", "web search", "internet",
    "latest", "current", "today", "news", "summarize", "compare", "list",
    "recommend", "docs", "documentation", "sources", "tools", "options",
)
LOCAL_TERMS = (
    "mm1",
    "memory",
    "route",
    "privacy boundary",
    "what do you know",
    "what's my name",
    "what is my name",
    "whats my name",
    "do you know my name",
    "who am i",
    "about me",
    "remember about me",
)
CONVERSATION_TERMS = (
    "hi", "hello", "hey", "thanks", "thank you", "how are you", "good morning",
    "good evening", "good night", "ok", "okay", "yes", "no",
)
QUESTION_STARTERS = ("what", "who", "when", "where", "why", "how", "which", "can", "should", "could", "would")


def _contains_any(text: str, terms: tuple[str, ...]) -> bool:
    return any(term in text for term in terms)


def _starts_like_question(text: str) -> bool:
    return text.endswith("?") or bool(re.match(r"^\s*(what|who|when|where|why|how|which|can|should|could|would)\b", text))


def decide_route(message: str) -> RouteDecision:
    lower = message.lower()
    compact = lower.strip()
    normalized = compact.strip(" ?!.")

    if _contains_any(compact, LOCAL_TERMS):
        return RouteDecision("local_answer", 0.92, ["local_memory: can be answered from local state or MM1 context."])

    if _contains_any(compact, COMPLEX_ACTION_TERMS):
        return RouteDecision("codex_big_agent", 0.88, ["complex_task: needs programming, automation, API, repository, or multi-step technical work."])

    if _contains_any(compact, DIRECT_SEARCH_TERMS):
        return RouteDecision("direct_search", 0.82, ["explicit_web_task: asks for search, current information, comparison, docs, or recommendations."])

    if _contains_any(compact, COMPLEX_TERMS):
        return RouteDecision("codex_big_agent", 0.78, ["complex_task: likely needs technical analysis or tool work."])

    if normalized in CONVERSATION_TERMS or len(compact.split()) <= 4 and not _starts_like_question(compact):
        return RouteDecision("local_answer", 0.76, ["conversation: normal chat does not need outside tools."])

    if _starts_like_question(compact) or compact.split()[0:1] and compact.split()[0] in QUESTION_STARTERS:
        return RouteDecision("local_answer", 0.55, ["needs_clarification: unclear whether to answer locally or use live search."])

    return RouteDecision("local_answer", 0.66, ["conversation: no clear outside-tool requirement detected."])