"""Interpret a free-text vibe + adventurousness into inspectable preferences.

Produces the three things spec P0-5 requires:
  (a) category affinity weights  — from sentence embeddings (embed.py)
  (b) a per-category stop/pass posture — category defaults, shifted by mood cues
  (c) a budget interpretation — a hint read from explicit pace words in the vibe

Affinity is the load-bearing signal for routing; posture and the budget hint are
surfaced for the user and consumed by later bricks (dual-budget solving is P1-2).
Everything here is deterministic and debuggable — no hidden state.
"""
from __future__ import annotations

from dataclasses import dataclass, field

from discoverroute import config
from discoverroute.data import taxonomy
from discoverroute.routing.scoring import Weights

# Mood cues that shift posture globally.
_STOP_CUES = ("crawl", "stop", "sit", "linger", "browse", "taste", "coffee",
              "lunch", "dinner", "drink", "relax", "people-watch", "people watch")
_PASS_CUES = ("ride", "cycle", "bike", "wander", "stroll", "roll", "cruise",
              "pass", "walk through", "loop", "scenic route")

# Pace cues that hint a budget (fraction of direct time to spend on discovery).
_LOW_BUDGET_CUES = ("quick", "short", "direct", "fast", "hurry", "straight")
_HIGH_BUDGET_CUES = ("long", "scenic", "leisurely", "all day", "all-day",
                     "explore", "meander", "take your time", "no rush", "epic")

# Discovery cues: the user wants the obscure, NOT famous sights. The "attraction"
# category ("a famous landmark or major sight") is the semantic opposite, yet it
# embeds close to "hidden gems" — so suppress it and bump adventurousness
# (which surfaces under-documented POIs) when these appear.
_HIDDEN_CUES = ("hidden", "off the beaten", "off-the-beaten", "secret", "local gem",
                "hidden gem", "lesser known", "lesser-known", "undiscovered",
                "underrated", "non-touristy", "non touristy", "like a local")


@dataclass
class Interpretation:
    affinity: dict[str, float]
    weights: Weights
    posture: dict[str, str]
    budget_hint: float | None      # suggested budget, or None if not implied
    explanation: str               # human-readable, inspectable
    top_categories: list[str] = field(default_factory=list)
    confidence: float = 1.0        # best raw cosine to a category gloss
    weak: bool = False             # True => out-of-vocabulary / weak match
    adventurousness: float = config.DEFAULT_ADVENTUROUSNESS  # possibly cue-boosted
    exclude_famous: bool = False   # discovery cue => drop well-documented sights


def _contains(text: str, cues) -> bool:
    return any(cue in text for cue in cues)


def interpret(vibe: str, adventurousness: float = config.DEFAULT_ADVENTUROUSNESS,
              budget: float | None = None) -> Interpretation:
    from discoverroute.interpret.affinity import resolve_affinity  # lazy: model only if used

    text = (vibe or "").strip().lower()
    affinity, _source = resolve_affinity(vibe)
    # Discovery intent: drop "famous attraction" (opposite of "hidden") and lift
    # adventurousness so the route favours under-documented places. Copy first —
    # resolve_affinity is cached and returns a shared dict.
    hidden = _contains(text, _HIDDEN_CUES)
    if hidden:
        affinity = {**affinity, "attraction": 0.0}
        adventurousness = max(adventurousness, 0.8)
    weights = Weights(category_affinity=affinity, w_category=1.0)

    # (b) posture: start from category defaults, then let the mood tilt it.
    base_posture = {c: taxonomy.posture(c) for c in affinity}
    if _contains(text, _STOP_CUES) and not _contains(text, _PASS_CUES):
        posture = {c: "stop" for c in base_posture}
    elif _contains(text, _PASS_CUES) and not _contains(text, _STOP_CUES):
        posture = {c: "pass" for c in base_posture}
    else:
        posture = base_posture

    # (c) budget hint from explicit pace words (slider stays authoritative).
    budget_hint = None
    if _contains(text, _HIGH_BUDGET_CUES):
        budget_hint = 1.0
    elif _contains(text, _LOW_BUDGET_CUES):
        budget_hint = 0.2

    top = sorted(affinity, key=affinity.get, reverse=True)[:4]
    # Match confidence from the raw embedding cosine (independent of rescaling).
    try:
        from discoverroute.interpret import embed
        confidence = embed.raw_top_similarity(vibe)
    except Exception:  # noqa: BLE001 - encoder unavailable
        confidence = 1.0
    weak = bool(text) and confidence < config.WEAK_MATCH_SIMILARITY
    explanation = _explain(vibe, top, affinity, posture, budget_hint, weak)
    return Interpretation(affinity, weights, posture, budget_hint, explanation, top,
                          confidence=confidence, weak=weak,
                          adventurousness=adventurousness, exclude_famous=hidden)


def _explain(vibe, top, affinity, posture, budget_hint, weak=False) -> str:
    if not (vibe or "").strip():
        return "_No vibe given — every kind of place is weighted equally._"
    # Off-domain / unreadable vibe: the interpreter degraded to neutral (all
    # categories equal). Say so honestly instead of inventing a confident top-4.
    vals = list(affinity.values())
    if vals and (max(vals) - min(vals)) < 1e-6:
        return (f"_I couldn't read a clear taste from “{vibe.strip()}” — "
                f"weighting every kind of place equally._")
    header = (f"**No strong match for “{vibe.strip()}” — here's my closest guess:**"
              if weak else f"**Reading “{vibe.strip()}” as:**")
    lines = [header]
    for c in top:
        nice = c.replace("_", " ")
        lines.append(f"- {nice} (affinity {affinity[c]:.2f}, "
                     f"{'stop at' if posture[c] == 'stop' else 'pass by'})")
    if budget_hint is not None:
        lines.append(f"- pace hint → budget ≈ {budget_hint:.1f}")
    return "\n".join(lines)