procurement-ingest/lambdas/po/email_processor/template_parser.py

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"""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"