"""
eval/grounded.py — Shared grounded matching primitives for Bureaucat.

Provides the no-invention check used by app.py (to drive the verifying mascot
state, D2-05) and by eval/run_eval.py (for bake-off accuracy gating).

Stdlib-only: only `re` and `unicodedata`. Importing this module never loads
model weights and never imports app.
"""

# ---------------------------------------------------------------------------
# Imports — stdlib only
# ---------------------------------------------------------------------------

import re
import unicodedata


# ---------------------------------------------------------------------------
# Normalization (D-12)
# Python 3 \s on str matches all Unicode whitespace:
#   U+00A0 non-breaking space, U+2009 thin space, U+202F narrow no-break space,
#   U+2007 figure space, U+3000 ideographic space — no literal chars needed.
# ---------------------------------------------------------------------------

_WHITESPACE_RE = re.compile(r"\s+")


def normalize(text: str) -> str:
    """
    Collapse all Unicode whitespace to single ASCII space; NFC-normalize; lowercase.

    Preserves digits, commas, periods (Swedish decimal format), and kr suffix.
    Purpose: makes OCR whitespace/case variance transparent to value_found().
    """
    # NFC normalize first — handles combining characters from OCR output
    text = unicodedata.normalize("NFC", text)
    # Collapse all Unicode whitespace variants to a single ASCII space
    text = _WHITESPACE_RE.sub(" ", text)
    # Lowercase and strip leading/trailing whitespace
    return text.lower().strip()


# ---------------------------------------------------------------------------
# Value matching (D-12 no-invention, D-13 recall)
# ---------------------------------------------------------------------------

def value_found(gold_value: str, haystack: str) -> bool:
    """
    Check if gold_value appears in haystack using normalized substring match
    with non-digit boundaries on both sides.

    The digit boundary (`(?<!\\d)...(?!\\d)`) prevents a gold value from matching
    INSIDE a longer run of digits — both for short refs (e.g. "123" inside
    "1234567") AND for long values (e.g. ref "12-345678" must NOT match inside
    "912-3456789", and ISO date "2026-06-15" must NOT match inside "12026-06-15").
    Applying the boundary universally (not only when <6 digits) closes the
    superstring hole that previously let a garbled longer number satisfy the
    no-invention / recall gate (WR-01, D-12).

    Legitimate values are always delimited by whitespace/punctuation in the
    model's output, so the boundary never rejects a real match.
    """
    norm_gold = normalize(gold_value)
    norm_hay = normalize(haystack)

    pattern = r"(?<!\d)" + re.escape(norm_gold) + r"(?!\d)"
    return bool(re.search(pattern, norm_hay))


# ---------------------------------------------------------------------------
# Value extraction from "Deadlines & money" section (D-12 no-invention)
# ---------------------------------------------------------------------------

def extract_values_from_section(section_text: str) -> list:
    """
    Extract emitted verbatim values from the "Deadlines & money" section.

    Exploits the locked prompt's "one item per line, verbatim value first" format:
      - 15 juni 2026 — last day to file
      - 1 234 kr - belopp

    For each line:
      1. Strip leading bullet marker ('- ' or '* ' or bare '-' at start) and whitespace.
      2. Skip blank lines and any "None found" lines.
      3. Split on the first interpretation separator: ' — ' (em-dash) or ' - ' (hyphen
         with surrounding spaces). The surrounding-spaces requirement prevents the
         internal hyphens in ISO dates (e.g., 2026-06-15) from being split.
      4. The text before the separator is the verbatim value; strip it.

    Returns a list of verbatim value strings. Empty list if nothing matches.
    """
    values = []
    for raw_line in section_text.splitlines():
        line = raw_line.strip()
        if not line:
            continue

        # Strip leading bullet markers (-, *, •) with optional trailing space
        line = re.sub(r"^[-*•]\s*", "", line).strip()
        if not line:
            continue

        # Skip "None found" variants (case-insensitive)
        if re.match(r"none found\.?$", line, re.IGNORECASE):
            continue

        # Split on first interpretation separator:
        #   ' — ' (em-dash, U+2014, with surrounding spaces)
        #   ' – ' (en-dash, U+2013, with surrounding spaces — LLMs emit this constantly)
        #   ' - ' (hyphen with surrounding spaces — requires spaces to avoid splitting dates)
        # The surrounding-spaces requirement keeps internal ISO-date hyphens intact.
        sep_match = re.search(r"\s+[—–\-]\s+", line)
        if sep_match:
            verbatim = line[: sep_match.start()].strip()
        else:
            # No separator found — the whole line is the verbatim value
            verbatim = line

        if verbatim:
            values.append(verbatim)

    return values


# ---------------------------------------------------------------------------
# No-invention check (D-12, D2-05 verifying mascot state)
# ---------------------------------------------------------------------------

def check_no_invention(result) -> list:
    """
    Returns list of values from result.deadlines that are NOT found verbatim
    in result.transcription (the no-invention check, D-12).

    Called from app.py to drive the verifying mascot state (D2-05).
    Does NOT require a gold dict — safe to call on any real user letter.
    Returns empty list = no invention detected.

    Works on any SimpleNamespace or StructuredResult that has .deadlines
    and .transcription attributes.
    """
    invented = []
    for emitted_val in extract_values_from_section(result.deadlines):
        if not value_found(emitted_val, result.transcription):
            invented.append(emitted_val)
    return invented