demo/src/baseline.py

from __future__ import annotations

import re

from src.domain import EntityType, Method, Workflow
from src.schemas import Span

EMAIL_RE = re.compile(r"\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b")
PHONE_RE = re.compile(r"(?<!\d)(?:\+98|0)9\d{9}(?!\d)")
TEN_DIGIT_RE = re.compile(r"(?<!\d)\d{10}(?!\d)")
SIXTEEN_DIGIT_RE = re.compile(r"(?<!\d)\d{16}(?!\d)")
IBAN_RE = re.compile(r"\bIR\d{24}\b")
EMPLOYEE_RE = re.compile(r"\b(?:ARIA|EMP)-\d{4,6}\b", re.I)
HONORIFIC_RE = re.compile(r"\b(?:Mr|Ms|Mrs|Dr)\.?\s+[A-Z][A-Za-z]+(?:\s+[A-Z][A-Za-z]+)?")


def _span(text: str, start: int, end: int, entity_type: EntityType, rule_id: str) -> Span:
    return Span(
        start=start,
        end=end,
        entity_type=entity_type,
        surface=text[start:end],
        confidence=0.4,
        method=Method.BASELINE.value,
        rule_id=rule_id,
        workflow=Workflow.DETECTED,
        reason="Regex-only baseline without checksum or digit fold",
    )


def analyze_regex_only(text: str) -> list[Span]:
    """Naive recognizer: ASCII regex, no Persian digits, no checksum, no hard-negative filter."""
    found: list[Span] = []
    for match in EMAIL_RE.finditer(text):
        found.append(_span(text, match.start(), match.end(), EntityType.EMAIL, "base.email"))
    for match in PHONE_RE.finditer(text):
        found.append(_span(text, match.start(), match.end(), EntityType.PHONE, "base.phone"))
    for match in TEN_DIGIT_RE.finditer(text):
        found.append(_span(text, match.start(), match.end(), EntityType.IR_NATIONAL_ID, "base.ten_digit"))
    for match in SIXTEEN_DIGIT_RE.finditer(text):
        found.append(_span(text, match.start(), match.end(), EntityType.CREDIT_CARD, "base.sixteen_digit"))
    for match in IBAN_RE.finditer(text):
        found.append(_span(text, match.start(), match.end(), EntityType.IBAN, "base.iban"))
    for match in EMPLOYEE_RE.finditer(text):
        found.append(_span(text, match.start(), match.end(), EntityType.EMPLOYEE_ID, "base.employee"))
    for match in HONORIFIC_RE.finditer(text):
        found.append(_span(text, match.start(), match.end(), EntityType.PERSON, "base.honorific"))
    return found