Spaces:
Runtime error
Runtime error
| """Phase W - the lightweight, from-scratch classifier we own. | |
| A transparent weighted-lexical scorer: it runs the rule sets in rules.py over a | |
| normalized copy of the text and returns a per-category score in [0, 1] (the max | |
| weight of any matching signal for that category). It is intentionally simple and | |
| dependency-free; the `score()` method is the seam a trained model can later | |
| replace without touching any caller. | |
| """ | |
| from server.safety import rules | |
| from server.safety.config import CATEGORIES | |
| class LexicalClassifier: | |
| """Rule-driven scorer. Swap-compatible with a future learned model.""" | |
| def score(self, text: str) -> dict: | |
| scores = {c: 0.0 for c in CATEGORIES} | |
| norm = rules.normalize(text) | |
| if not norm: | |
| return scores | |
| for rx, weight, cat in rules.RULES: | |
| if weight > scores[cat] and rx.search(norm): | |
| scores[cat] = weight | |
| for cat, a_rx, b_rx, weight in rules.COOCCURRENCE: | |
| if weight > scores[cat] and a_rx.search(norm) and b_rx.search(norm): | |
| scores[cat] = weight | |
| return scores | |
| default_classifier = LexicalClassifier() | |