"""
safety_classifier.py
────────────────────
Classifies a scene caption as SAFE or DANGEROUS using a curated
set of regular-expression patterns grouped by hazard category.

Pipeline step 3: Caption → Regex Engine → ClassificationResult
"""

import re
import logging
from dataclasses import dataclass, field

logger = logging.getLogger(__name__)


# ── Hazard pattern registry ───────────────────────────────────────────────────
# Each entry: (category_name, compiled_regex)
HAZARD_PATTERNS: list[tuple[str, re.Pattern]] = [

    # Fire & heat
    ("fire",        re.compile(r"\b(fire|flame|flames|burning|blaze|smoke|ember|inferno|wildfire|arson)\b", re.I)),
    ("heat",        re.compile(r"\b(hot\s+surface|scalding|steam|boiling|molten)\b", re.I)),

    # Water & weather
    ("flood",       re.compile(r"\b(flood(ing|ed|s)?|flash\s+flood|inundation|submerged|overflow(ing)?)\b", re.I)),
    ("storm",       re.compile(r"\b(storm|lightning|tornado|hurricane|cyclone|typhoon|hail|blizzard)\b", re.I)),

    # Vehicles & traffic
    ("traffic",     re.compile(r"\b(oncoming\s+(car|truck|vehicle|bus|motorcycle)|speeding\s+(car|vehicle)|near\s+collision)\b", re.I)),
    ("crash",       re.compile(r"\b(crash|collision|accident|wreck(age)?|overturned\s+(car|truck|vehicle))\b", re.I)),

    # Weapons & violence
    ("weapon",      re.compile(r"\b(gun|pistol|rifle|shotgun|firearm|knife|blade|sword|machete|weapon|explosive|bomb|grenade)\b", re.I)),
    ("violence",    re.compile(r"\b(fight(ing)?|brawl|riot|mob|attack(ing)?|assault|shooting|stabbing)\b", re.I)),

    # Falls & heights
    ("fall",        re.compile(r"\b(fall(ing|en)?|cliff|ledge|precipice|drop\s+(off|down)|steep\s+(slope|drop)|scaffolding)\b", re.I)),
    ("collapse",    re.compile(r"\b(collaps(ing|ed)|rubble|debris|structural\s+(failure|damage)|cave(-)in)\b", re.I)),

    # Electricity
    ("electrical",  re.compile(r"\b(exposed\s+(wire|cable)|live\s+wire|electr(ic|ical)\s+hazard|power\s+line|sparking)\b", re.I)),

    # Blood / injury
    ("injury",      re.compile(r"\b(blood|bleeding|wound(ed)?|injur(y|ied|ies)|unconscious|laceration|trauma)\b", re.I)),

    # Slips & construction
    ("slip",        re.compile(r"\b(wet\s+floor|slippery|icy\s+(road|surface|path)|black\s+ice)\b", re.I)),
    ("construction",re.compile(r"\b(construction\s+zone|heavy\s+machinery|crane|excavator|unsafe\s+structure)\b", re.I)),

    # Chemical & biological
    ("chemical",    re.compile(r"\b(chemical\s+(spill|leak)|toxic|hazardous\s+material|biohazard|gas\s+leak|fumes?)\b", re.I)),

    # Crowd / panic
    ("crowd",       re.compile(r"\b(stampede|crowd\s+crush|panic(king)?|evacuation|emergency\s+exit)\b", re.I)),

    # General danger keywords
    ("generic",     re.compile(r"\b(danger(ous)?|hazard(ous)?|warning|caution|emergency|critical\s+risk|life-threatening)\b", re.I)),
]


# ── Result dataclass ──────────────────────────────────────────────────────────

@dataclass
class ClassificationResult:
    label    : str                   # "SAFE" or "DANGEROUS"
    hazards  : list[str] = field(default_factory=list)   # matched categories
    matches  : list[str] = field(default_factory=list)   # raw matched tokens

    @property
    def is_dangerous(self) -> bool:
        return self.label == "DANGEROUS"

    def __str__(self) -> str:
        if self.is_dangerous:
            return f"[DANGEROUS] Categories: {', '.join(self.hazards)} | Tokens: {', '.join(self.matches)}"
        return "[SAFE] No hazards detected."


# ── Classifier ────────────────────────────────────────────────────────────────

class SafetyClassifier:
    """
    Applies all HAZARD_PATTERNS to a caption string.
    Returns a ClassificationResult.
    """

    def __init__(self, patterns: list[tuple[str, re.Pattern]] = HAZARD_PATTERNS):
        self.patterns = patterns
        logger.info(f"SafetyClassifier initialised — {len(self.patterns)} hazard patterns loaded.")

    def classify(self, caption: str) -> ClassificationResult:
        """
        Classify a caption string.

        Parameters
        ----------
        caption : str
            Plain-text scene description produced by the captioning model.

        Returns
        -------
        ClassificationResult
        """
        if not caption or not caption.strip():
            return ClassificationResult(label="SAFE")

        matched_categories: list[str] = []
        matched_tokens    : list[str] = []

        for category, pattern in self.patterns:
            hits = pattern.findall(caption)
            if hits:
                matched_categories.append(category)
                # Flatten nested groups from findall
                for hit in hits:
                    token = hit if isinstance(hit, str) else " ".join(h for h in hit if h)
                    if token and token not in matched_tokens:
                        matched_tokens.append(token.strip())

        label = "DANGEROUS" if matched_categories else "SAFE"
        result = ClassificationResult(
            label   = label,
            hazards = list(dict.fromkeys(matched_categories)),   # preserve order, dedupe
            matches = matched_tokens,
        )
        logger.debug(str(result))
        return result

    def explain(self, caption: str) -> dict:
        """
        Returns a detailed breakdown of which patterns fired and why.
        Useful for debugging / transparency.
        """
        breakdown = {}
        for category, pattern in self.patterns:
            hits = pattern.findall(caption)
            if hits:
                breakdown[category] = [h if isinstance(h, str) else " ".join(h) for h in hits]
        return breakdown