"""Deterministic template parser for Coupa purchase order emails.

Pure module: no boto3, no network. Runs ahead of the AI extraction path in the
purchase-order email processor. Only returns a parsed result when it is proven
conformant to one of the known Coupa templates; otherwise it fails closed and
signals the caller to fall back to the Bedrock AI extractor.

Mirrors the WO parser idioms (lambdas/wo/email_processor/template_parser.py):
classify_template -> extract -> validate (FAIL CLOSED) -> try_deterministic_parse
returning (parsed|None, method, template_id, reason). A failure is NEVER a
parsed result.

Full-bucket triage of all 3,448 inbound emails (2026-07-16) fixed the scope:

  T1 coupa_new_po  -- 3,294 / 3,448 (95.5%). Subject
     "***Copy for Reference*** New Purchase Order <PO#> has been issued".
     multipart/alternative; the text/plain part is a stable label-delimited
     layout (PO ID / Status / Order Date / Revision Date / Payment Term / Req # /
     Submitted By / On Behalf Of / Supplier block / Shipping block w/ Location
     Code + Attn / a Lines section whose per-line metadata is U+2022-delimited:
     Need By / Category / Account / Period [/ optional Part Number]).
     Maps to email_type "new_po". 99.8% single-line-item, 100% USD.

  T2 coupa_cancellation -- 100 / 3,448 (2.9%). Subject
     "<SiteName> Purchase Order #<PO#> has been cancelled". Minimal body; the
     only field the handler's save_cancellation() needs is po_number.
     Maps to email_type "cancellation".

DELIBERATELY OUT OF SCOPE -> always AI fallback (never template-parsed):
  * "New Comment on Purchase Order for Amazon" (19 / 3,448) -- an email_type the
    handler enum does not model; do not fabricate a PO record deterministically.
  * revision -- 0 distinct emails in 3,448; no template to build.
  * any multi-line-item new_po (6 / 3,448) -- Lines-array structure unobserved.
  * any non-USD new_po (0 observed) -- non-USD path entirely unexercised.
  * non-Coupa senders (35 / 3,448) -- already rejected at the ses_auth layer.

Derived fields (site_code, trade, fiscal_year) are NOT computed here: the parser
leaves them None and a shared post-stage (handler enrich_parsed(), the pad_zip
precedent) fills them identically on both the template and the LLM path, so the
gate judges extraction fidelity only. coupa_category is a verbatim label capture,
not a classifier, and IS extracted here.

Entry point: try_deterministic_parse(email_data) -> (parsed|None, method,
template_id, reason_code).
"""

import re
from decimal import Decimal, InvalidOperation

# ---------------------------------------------------------------------------
# IMPLEMENTATION STATUS (scaffold)
#   [x] contract + recursive skeleton/normalize
#   [x] classify_template (both templates)
#   [x] coupa_cancellation extract + gate  (simple, safe)
#   [ ] coupa_new_po extract  -- labeled fields, duplicate-label anchoring,
#       U+2022 line split, Decimal amounts   <-- TODO, needs fixtures
#   [ ] coupa_new_po value-level gate rules  <-- TODO, currently FAILS CLOSED
# Until the new_po TODOs land, a new_po email deterministically returns
# reason 'new_po_not_implemented' and falls back to the LLM -- safe by design.
# ---------------------------------------------------------------------------

# The contract keys (23), EXACTLY -- mirrors the AI EXTRACTION_PROMPT fields.
CONTRACT_KEYS = (
    "email_type",
    "po_number",
    "po_status",
    "source_system",
    "submitted_by",
    "on_behalf_of",
    "order_date",
    "revision_date",
    "last_opened",
    "acknowledged_at",
    "payment_terms",
    "requisition_number",
    "department",
    "view_order_url",
    "supplier",
    "site_code",
    "ship_to",
    "total_amount",
    "currency",
    "fiscal_year",
    "trade",
    "coupa_category",
    "line_items",
)

SUPPLIER_KEYS = ("name",)

SHIP_TO_KEYS = (
    "name",
    "address",
    "street",
    "city",
    "state",
    "zip",
    "location_code",
    "attn",
)

LINE_ITEM_KEYS = (
    "description",
    "amount",
    "currency",
    "need_by",
    "category",
    "account_code",
    "period",
    "quantity",
    "unit",
    "price",
)

# Derived fields the parser must leave None (filled by the shared post-stage).
DERIVED_KEYS = ("site_code", "trade", "fiscal_year")

SOURCE_SYSTEM = "coupa"

# email_type per template.
_TEMPLATE_EMAIL_TYPE = {
    "coupa_new_po": "new_po",
    "coupa_cancellation": "cancellation",
}
VALID_EMAIL_TYPES = {"new_po", "revision", "cancellation"}

# Only these Status strings were observed on new_po (2,223 + 1,071 of 3,294).
# Anything else fails closed to the LLM -- NEVER default-to-new_po.
NEW_PO_SAFE_STATUSES = {"Issued - Created", "Issued - Scheduled for email"}

# Subject classifiers (Python unfolds header continuation lines before we see them).
_NEW_PO_SUBJECT = re.compile(
    r"^\*\*\*Copy for Reference\*\*\* New Purchase Order\s+(?P<po>\S+)\s+has been issued$"
)
_CANCELLATION_SUBJECT = re.compile(
    r"Purchase Order\s+#(?P<po>[A-Z0-9-]+)\s+has been cancelled\s*$"
)

# PO number shape, e.g. 2D-21456967, FK-21920384, B187-17955555.
_PO_ID_RE = re.compile(r"^[A-Z0-9]{1,6}-\d+$")

# U+2022 bullet delimiting per-line metadata in the Lines section.
_BULLET = "•"

# Sentinel: a label was present but its value did not parse. Must FAIL the gate
# (present-but-unparseable), distinct from an absent value (None).
_UNPARSEABLE = "__UNPARSEABLE__"


# ---------------------------------------------------------------------------
# Skeleton helpers (recursive -- unlike WO's flat contract)
# ---------------------------------------------------------------------------
def _empty_line_item():
    return {k: None for k in LINE_ITEM_KEYS}


def _empty_candidate():
    """Full nested skeleton: every contract key present, None where absent."""
    cand = {k: None for k in CONTRACT_KEYS}
    cand["supplier"] = {k: None for k in SUPPLIER_KEYS}
    cand["ship_to"] = {k: None for k in SHIP_TO_KEYS}
    cand["line_items"] = [_empty_line_item()]
    cand["source_system"] = SOURCE_SYSTEM
    return cand


def _normalize(candidate):
    """Guarantee exact nested key presence before returning."""
    out = _empty_candidate()
    for k in CONTRACT_KEYS:
        if k in candidate and k not in ("supplier", "ship_to", "line_items"):
            out[k] = candidate[k]
    supplier = candidate.get("supplier") or {}
    out["supplier"] = {k: supplier.get(k) for k in SUPPLIER_KEYS}
    ship_to = candidate.get("ship_to") or {}
    out["ship_to"] = {k: ship_to.get(k) for k in SHIP_TO_KEYS}
    items = candidate.get("line_items") or [{}]
    out["line_items"] = [{k: (it or {}).get(k) for k in LINE_ITEM_KEYS} for it in items]
    return out


def _clean(value):
    """Strip trailing CR and U+00A0 nbsp that every captured Coupa value carries;
    collapse nothing else. Returns None for empty/placeholder 'None'."""
    if value is None:
        return None
    v = value.replace("\r", "").replace(" ", " ").strip()
    if v == "" or v == "None":
        return None
    return v


def _plain_lines(body):
    return body.replace("\r\n", "\n").replace("\r", "\n").split("\n")


def _to_decimal(raw):
    """Parse a Coupa money token ('18,624.05') to Decimal, stripping thousands
    separators. Returns _UNPARSEABLE if it does not parse (gate must reject)."""
    if raw is None:
        return None
    token = raw.replace(",", "").strip()
    try:
        return Decimal(token)
    except (InvalidOperation, ValueError):
        return _UNPARSEABLE


# ---------------------------------------------------------------------------
# Subject helpers
# ---------------------------------------------------------------------------
def classify_template(email_data):
    """Return (template_id, reason). template_id in
    {coupa_new_po, coupa_cancellation, unknown}."""
    subject = _clean(email_data.get("subject")) or ""
    if _NEW_PO_SUBJECT.match(subject):
        return "coupa_new_po", "ok"
    if _CANCELLATION_SUBJECT.search(subject):
        return "coupa_cancellation", "ok"
    return "unknown", "subject_no_match"


def _subject_po_id(email_data):
    """PO number parsed from the subject, or None."""
    subject = _clean(email_data.get("subject")) or ""
    m = _NEW_PO_SUBJECT.match(subject)
    if m:
        return m.group("po")
    m = _CANCELLATION_SUBJECT.search(subject)
    if m:
        return m.group("po")
    return None


# ---------------------------------------------------------------------------
# T2: coupa_cancellation -> cancellation   (simple + safe: po_number only)
# ---------------------------------------------------------------------------
def extract_cancellation(email_data):
    """Cancellation carries no PO detail we trust beyond the id; the handler's
    save_cancellation() only needs po_number. Everything else stays None."""
    candidate = _empty_candidate()
    candidate["email_type"] = "cancellation"
    candidate["po_number"] = _subject_po_id(email_data)
    return _normalize(candidate)


# ---------------------------------------------------------------------------
# T1: coupa_new_po -> new_po
# ---------------------------------------------------------------------------
def extract_new_po(email_data):
    """Extract the new_po contract from the text/plain body.

    TODO(new_po): this is the core extraction work and needs fixtures before it
    can be trusted. Implement, in order, guarding each with a gate rule below:
      * labeled single-occurrence fields (PO ID, Status, Order Date, Revision
        Date, Payment Term, Req #, Submitted By, On Behalf Of, view_order_url,
        Department/Last Opened/Acknowledged At with literal 'None' -> null).
      * DUPLICATE labels: 'Supplier', 'Shipping', 'Total' each appear TWICE
        (summary placeholder + detail block; first 'Shipping' is literally
        'None'). Anchor supplier.name on the FIRST 'Supplier', the ship_to block
        on the SECOND 'Shipping', and pick a deterministic 'Total'.
      * ship_to by SENTINEL anchors ('United States' / 'Location Code:' /
        'Attn:'), never fixed line offsets (multi-line street unobserved).
      * line_items: split the metadata line on the bare U+2022 (_BULLET) and
        assign each segment BY LEADING LABEL word ('Need By '/'Category '/
        'Account '/'Period '/'Part Number '), never by ordinal position.
      * amounts via _to_decimal (thousands-separator safe); currency = the exact
        3-letter token adjacent to the amount.
      * coupa_category = verbatim 'Category' bullet value.
    Leave DERIVED_KEYS (site_code, trade, fiscal_year) as None -- filled later by
    the shared post-stage.
    """
    candidate = _empty_candidate()
    candidate["email_type"] = "new_po"
    candidate["po_number"] = _subject_po_id(email_data)
    # DERIVED_KEYS intentionally left None (shared post-stage fills them).
    # TODO(new_po): populate the remaining fields per the docstring, then remove
    # the fail-closed guard in validate().
    return _normalize(candidate)


# ---------------------------------------------------------------------------
# Validation gate -- FAIL CLOSED
# ---------------------------------------------------------------------------
def _structural_keys_ok(candidate):
    if set(candidate.keys()) != set(CONTRACT_KEYS):
        return False
    if set((candidate.get("supplier") or {}).keys()) != set(SUPPLIER_KEYS):
        return False
    if set((candidate.get("ship_to") or {}).keys()) != set(SHIP_TO_KEYS):
        return False
    items = candidate.get("line_items")
    if not isinstance(items, list) or not items:
        return False
    return all(set((it or {}).keys()) == set(LINE_ITEM_KEYS) for it in items)


def validate(candidate, template_id, email_data):
    """Return (True, 'ok') only if provably conformant; else (False, reason).
    Every rule must hold. See failClosedGateRules in the investigation report."""
    # (1) known template
    if template_id not in _TEMPLATE_EMAIL_TYPE:
        return False, "subject_no_match"

    # (2) exact nested key-set
    if not _structural_keys_ok(candidate):
        return False, "key_set_mismatch"

    # (3) derived fields must NOT be populated by the parser
    for k in DERIVED_KEYS:
        if candidate.get(k) is not None:
            return False, "derived_field_set"

    # (4) email_type matches the template's expected type
    expected_type = _TEMPLATE_EMAIL_TYPE[template_id]
    et = candidate.get("email_type")
    if et not in VALID_EMAIL_TYPES:
        return False, "missing_required_field"
    if et != expected_type:
        return False, "email_type_mismatch"

    # (5) po_number: valid shape AND byte-equals the subject id
    subject_po = _subject_po_id(email_data)
    po = candidate.get("po_number")
    if not po or not _PO_ID_RE.match(str(po)):
        return False, "missing_required_field"
    if po != subject_po:
        return False, "po_id_mismatch"

    if template_id == "coupa_cancellation":
        # Cancellation is complete once po_number is proven; save_cancellation
        # sets status=Cancelled by po_number and needs nothing else.
        return True, "ok"

    # ---- coupa_new_po ----
    # SCAFFOLD GUARD: extract_new_po is not implemented yet, so a new_po parse is
    # never provable -> fail closed to the LLM with an honest reason. Remove this
    # line once extract_new_po + the value-level rules below are implemented.
    return False, "new_po_not_implemented"

    # (6) status must be one of the confirmed-safe strings.
    status = candidate.get("po_status")
    if status not in NEW_PO_SAFE_STATUSES:
        return False, "unrecognized_status"

    # (7) single-line only -- multi-line Lines structure is unobserved.
    if len(candidate.get("line_items") or []) != 1:
        return False, "multiline_unsupported"

    # (8) currency must be exactly USD (non-USD path entirely unexercised).
    if candidate.get("currency") != "USD":
        return False, "non_usd"

    # TODO(new_po) value-level gate rules -- implement alongside extract_new_po:
    #   * amount fidelity: re-serialize each Decimal to the source grouped format
    #     and require byte-equality with the matched substring; reject if the
    #     token is bordered by a digit/comma (guards '18,624.05' -> '624.05').
    #     Then require sum(line_items[].amount) == total_amount.
    #   * duplicate-label anchoring: reject Shipping=='None'; require ship_to has
    #     a 'Location Code:' line; supplier.name contains 'SEA HAVEN';
    #     ship_to.name != supplier.name.
    #   * bullet metadata: every U+2022 segment carries a recognized leading
    #     label; fail on any unlabeled segment.
    #   * address shape: ship_to.state null-or-valid-USPS; ship_to.zip null-or
    #     ^\d{5}(-\d{4})?$ after pad_zip; tokenize city/state/zip by pattern.
    #   * _UNPARSEABLE discipline: reject any field still == _UNPARSEABLE.
    #   * whitespace hygiene: reject any value still containing \r or \xa0.
    # Until the above land, new_po is not provable -> fail closed to the LLM.
    return False, "new_po_not_implemented"


def try_deterministic_parse(email_data):
    """Entry point. Returns (parsed|None, parse_method, template_id, reason).

    On a proven-conformant parse returns (dict, 'template', template_id, 'ok').
    On any miss/invalid/exception returns (None, 'ai_fallback', template_id,
    reason) -- a failure is NEVER a parsed result."""
    template_id = "unknown"
    try:
        template_id, reason = classify_template(email_data)
        if template_id == "unknown":
            return None, "ai_fallback", template_id, reason

        if template_id == "coupa_new_po":
            candidate = extract_new_po(email_data)
        else:
            candidate = extract_cancellation(email_data)

        ok, reason = validate(candidate, template_id, email_data)
        if not ok:
            return None, "ai_fallback", template_id, reason
        return candidate, "template", template_id, "ok"
    except Exception:  # noqa: BLE001 -- fail closed on ANY extractor error
        return None, "ai_fallback", template_id, "extractor_raised"