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Mirror WO PR #99's template-first approach for the Coupa PO processor. Two templates identified from a full 3,448-email triage: - coupa_new_po (95.5%): scaffolded; fails closed to the LLM until extract_new_po lands. - coupa_cancellation (2.9%): implemented. Nested contract with recursive validation, Decimal money, and a fail-closed gate. Derived fields (site_code/trade/fiscal_year) are deferred to a shared post-stage. Comments, revisions, multi-line, and non-USD emails fall back to Bedrock. docs/po-template-parser.md records the investigation, decisions, and remaining work. Signed-off-by: Adam Moussa <166072409+amoussa1229@users.noreply.github.com>
394 lines
16 KiB
Python
394 lines
16 KiB
Python
"""Deterministic template parser for Coupa purchase order emails.
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Pure module: no boto3, no network. Runs ahead of the AI extraction path in the
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purchase-order email processor. Only returns a parsed result when it is proven
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conformant to one of the known Coupa templates; otherwise it fails closed and
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signals the caller to fall back to the Bedrock AI extractor.
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Mirrors the WO parser idioms (lambdas/wo/email_processor/template_parser.py):
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classify_template -> extract -> validate (FAIL CLOSED) -> try_deterministic_parse
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returning (parsed|None, method, template_id, reason). A failure is NEVER a
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parsed result.
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Full-bucket triage of all 3,448 inbound emails (2026-07-16) fixed the scope:
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T1 coupa_new_po -- 3,294 / 3,448 (95.5%). Subject
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"***Copy for Reference*** New Purchase Order <PO#> has been issued".
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multipart/alternative; the text/plain part is a stable label-delimited
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layout (PO ID / Status / Order Date / Revision Date / Payment Term / Req # /
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Submitted By / On Behalf Of / Supplier block / Shipping block w/ Location
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Code + Attn / a Lines section whose per-line metadata is U+2022-delimited:
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Need By / Category / Account / Period [/ optional Part Number]).
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Maps to email_type "new_po". 99.8% single-line-item, 100% USD.
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T2 coupa_cancellation -- 100 / 3,448 (2.9%). Subject
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"<SiteName> Purchase Order #<PO#> has been cancelled". Minimal body; the
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only field the handler's save_cancellation() needs is po_number.
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Maps to email_type "cancellation".
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DELIBERATELY OUT OF SCOPE -> always AI fallback (never template-parsed):
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* "New Comment on Purchase Order for Amazon" (19 / 3,448) -- an email_type the
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handler enum does not model; do not fabricate a PO record deterministically.
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* revision -- 0 distinct emails in 3,448; no template to build.
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* any multi-line-item new_po (6 / 3,448) -- Lines-array structure unobserved.
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* any non-USD new_po (0 observed) -- non-USD path entirely unexercised.
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* non-Coupa senders (35 / 3,448) -- already rejected at the ses_auth layer.
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Derived fields (site_code, trade, fiscal_year) are NOT computed here: the parser
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leaves them None and a shared post-stage (handler enrich_parsed(), the pad_zip
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precedent) fills them identically on both the template and the LLM path, so the
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gate judges extraction fidelity only. coupa_category is a verbatim label capture,
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not a classifier, and IS extracted here.
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Entry point: try_deterministic_parse(email_data) -> (parsed|None, method,
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template_id, reason_code).
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"""
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import re
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from decimal import Decimal, InvalidOperation
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# ---------------------------------------------------------------------------
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# IMPLEMENTATION STATUS (scaffold)
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# [x] contract + recursive skeleton/normalize
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# [x] classify_template (both templates)
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# [x] coupa_cancellation extract + gate (simple, safe)
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# [ ] coupa_new_po extract -- labeled fields, duplicate-label anchoring,
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# U+2022 line split, Decimal amounts <-- TODO, needs fixtures
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# [ ] coupa_new_po value-level gate rules <-- TODO, currently FAILS CLOSED
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# Until the new_po TODOs land, a new_po email deterministically returns
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# reason 'new_po_not_implemented' and falls back to the LLM -- safe by design.
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# ---------------------------------------------------------------------------
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# The contract keys (23), EXACTLY -- mirrors the AI EXTRACTION_PROMPT fields.
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CONTRACT_KEYS = (
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"email_type",
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"po_number",
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"po_status",
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"source_system",
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"submitted_by",
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"on_behalf_of",
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"order_date",
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"revision_date",
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"last_opened",
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"acknowledged_at",
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"payment_terms",
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"requisition_number",
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"department",
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"view_order_url",
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"supplier",
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"site_code",
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"ship_to",
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"total_amount",
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"currency",
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"fiscal_year",
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"trade",
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"coupa_category",
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"line_items",
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)
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SUPPLIER_KEYS = ("name",)
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SHIP_TO_KEYS = (
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"name",
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"address",
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"street",
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"city",
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"state",
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"zip",
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"location_code",
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"attn",
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)
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LINE_ITEM_KEYS = (
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"description",
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"amount",
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"currency",
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"need_by",
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"category",
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"account_code",
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"period",
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"quantity",
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"unit",
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"price",
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)
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# Derived fields the parser must leave None (filled by the shared post-stage).
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DERIVED_KEYS = ("site_code", "trade", "fiscal_year")
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SOURCE_SYSTEM = "coupa"
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# email_type per template.
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_TEMPLATE_EMAIL_TYPE = {
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"coupa_new_po": "new_po",
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"coupa_cancellation": "cancellation",
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}
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VALID_EMAIL_TYPES = {"new_po", "revision", "cancellation"}
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# Only these Status strings were observed on new_po (2,223 + 1,071 of 3,294).
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# Anything else fails closed to the LLM -- NEVER default-to-new_po.
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NEW_PO_SAFE_STATUSES = {"Issued - Created", "Issued - Scheduled for email"}
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# Subject classifiers (Python unfolds header continuation lines before we see them).
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_NEW_PO_SUBJECT = re.compile(
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r"^\*\*\*Copy for Reference\*\*\* New Purchase Order\s+(?P<po>\S+)\s+has been issued$"
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)
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_CANCELLATION_SUBJECT = re.compile(
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r"Purchase Order\s+#(?P<po>[A-Z0-9-]+)\s+has been cancelled\s*$"
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)
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# PO number shape, e.g. 2D-21456967, FK-21920384, B187-17955555.
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_PO_ID_RE = re.compile(r"^[A-Z0-9]{1,6}-\d+$")
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# U+2022 bullet delimiting per-line metadata in the Lines section.
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_BULLET = "•"
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# Sentinel: a label was present but its value did not parse. Must FAIL the gate
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# (present-but-unparseable), distinct from an absent value (None).
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_UNPARSEABLE = "__UNPARSEABLE__"
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# ---------------------------------------------------------------------------
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# Skeleton helpers (recursive -- unlike WO's flat contract)
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# ---------------------------------------------------------------------------
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def _empty_line_item():
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return {k: None for k in LINE_ITEM_KEYS}
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def _empty_candidate():
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"""Full nested skeleton: every contract key present, None where absent."""
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cand = {k: None for k in CONTRACT_KEYS}
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cand["supplier"] = {k: None for k in SUPPLIER_KEYS}
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cand["ship_to"] = {k: None for k in SHIP_TO_KEYS}
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cand["line_items"] = [_empty_line_item()]
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cand["source_system"] = SOURCE_SYSTEM
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return cand
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def _normalize(candidate):
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"""Guarantee exact nested key presence before returning."""
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out = _empty_candidate()
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for k in CONTRACT_KEYS:
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if k in candidate and k not in ("supplier", "ship_to", "line_items"):
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out[k] = candidate[k]
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supplier = candidate.get("supplier") or {}
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out["supplier"] = {k: supplier.get(k) for k in SUPPLIER_KEYS}
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ship_to = candidate.get("ship_to") or {}
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out["ship_to"] = {k: ship_to.get(k) for k in SHIP_TO_KEYS}
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items = candidate.get("line_items") or [{}]
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out["line_items"] = [{k: (it or {}).get(k) for k in LINE_ITEM_KEYS} for it in items]
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return out
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def _clean(value):
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"""Strip trailing CR and U+00A0 nbsp that every captured Coupa value carries;
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collapse nothing else. Returns None for empty/placeholder 'None'."""
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if value is None:
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return None
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v = value.replace("\r", "").replace(" ", " ").strip()
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if v == "" or v == "None":
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return None
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return v
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def _plain_lines(body):
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return body.replace("\r\n", "\n").replace("\r", "\n").split("\n")
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def _to_decimal(raw):
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"""Parse a Coupa money token ('18,624.05') to Decimal, stripping thousands
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separators. Returns _UNPARSEABLE if it does not parse (gate must reject)."""
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if raw is None:
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return None
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token = raw.replace(",", "").strip()
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try:
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return Decimal(token)
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except (InvalidOperation, ValueError):
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return _UNPARSEABLE
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# ---------------------------------------------------------------------------
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# Subject helpers
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# ---------------------------------------------------------------------------
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def classify_template(email_data):
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"""Return (template_id, reason). template_id in
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{coupa_new_po, coupa_cancellation, unknown}."""
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subject = _clean(email_data.get("subject")) or ""
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if _NEW_PO_SUBJECT.match(subject):
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return "coupa_new_po", "ok"
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if _CANCELLATION_SUBJECT.search(subject):
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return "coupa_cancellation", "ok"
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return "unknown", "subject_no_match"
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def _subject_po_id(email_data):
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"""PO number parsed from the subject, or None."""
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subject = _clean(email_data.get("subject")) or ""
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m = _NEW_PO_SUBJECT.match(subject)
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if m:
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return m.group("po")
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m = _CANCELLATION_SUBJECT.search(subject)
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if m:
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return m.group("po")
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return None
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# ---------------------------------------------------------------------------
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# T2: coupa_cancellation -> cancellation (simple + safe: po_number only)
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# ---------------------------------------------------------------------------
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def extract_cancellation(email_data):
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"""Cancellation carries no PO detail we trust beyond the id; the handler's
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save_cancellation() only needs po_number. Everything else stays None."""
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candidate = _empty_candidate()
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candidate["email_type"] = "cancellation"
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candidate["po_number"] = _subject_po_id(email_data)
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return _normalize(candidate)
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# ---------------------------------------------------------------------------
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# T1: coupa_new_po -> new_po
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# ---------------------------------------------------------------------------
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def extract_new_po(email_data):
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"""Extract the new_po contract from the text/plain body.
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TODO(new_po): this is the core extraction work and needs fixtures before it
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can be trusted. Implement, in order, guarding each with a gate rule below:
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* labeled single-occurrence fields (PO ID, Status, Order Date, Revision
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Date, Payment Term, Req #, Submitted By, On Behalf Of, view_order_url,
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Department/Last Opened/Acknowledged At with literal 'None' -> null).
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* DUPLICATE labels: 'Supplier', 'Shipping', 'Total' each appear TWICE
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(summary placeholder + detail block; first 'Shipping' is literally
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'None'). Anchor supplier.name on the FIRST 'Supplier', the ship_to block
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on the SECOND 'Shipping', and pick a deterministic 'Total'.
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* ship_to by SENTINEL anchors ('United States' / 'Location Code:' /
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'Attn:'), never fixed line offsets (multi-line street unobserved).
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* line_items: split the metadata line on the bare U+2022 (_BULLET) and
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assign each segment BY LEADING LABEL word ('Need By '/'Category '/
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'Account '/'Period '/'Part Number '), never by ordinal position.
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* amounts via _to_decimal (thousands-separator safe); currency = the exact
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3-letter token adjacent to the amount.
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* coupa_category = verbatim 'Category' bullet value.
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Leave DERIVED_KEYS (site_code, trade, fiscal_year) as None -- filled later by
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the shared post-stage.
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"""
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candidate = _empty_candidate()
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candidate["email_type"] = "new_po"
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candidate["po_number"] = _subject_po_id(email_data)
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# DERIVED_KEYS intentionally left None (shared post-stage fills them).
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# TODO(new_po): populate the remaining fields per the docstring, then remove
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# the fail-closed guard in validate().
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return _normalize(candidate)
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# ---------------------------------------------------------------------------
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# Validation gate -- FAIL CLOSED
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# ---------------------------------------------------------------------------
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def _structural_keys_ok(candidate):
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if set(candidate.keys()) != set(CONTRACT_KEYS):
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return False
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if set((candidate.get("supplier") or {}).keys()) != set(SUPPLIER_KEYS):
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return False
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if set((candidate.get("ship_to") or {}).keys()) != set(SHIP_TO_KEYS):
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return False
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items = candidate.get("line_items")
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if not isinstance(items, list) or not items:
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return False
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return all(set((it or {}).keys()) == set(LINE_ITEM_KEYS) for it in items)
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def validate(candidate, template_id, email_data):
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"""Return (True, 'ok') only if provably conformant; else (False, reason).
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Every rule must hold. See failClosedGateRules in the investigation report."""
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# (1) known template
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if template_id not in _TEMPLATE_EMAIL_TYPE:
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return False, "subject_no_match"
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# (2) exact nested key-set
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if not _structural_keys_ok(candidate):
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return False, "key_set_mismatch"
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# (3) derived fields must NOT be populated by the parser
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for k in DERIVED_KEYS:
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if candidate.get(k) is not None:
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return False, "derived_field_set"
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# (4) email_type matches the template's expected type
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expected_type = _TEMPLATE_EMAIL_TYPE[template_id]
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et = candidate.get("email_type")
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if et not in VALID_EMAIL_TYPES:
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return False, "missing_required_field"
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if et != expected_type:
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return False, "email_type_mismatch"
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# (5) po_number: valid shape AND byte-equals the subject id
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subject_po = _subject_po_id(email_data)
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po = candidate.get("po_number")
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if not po or not _PO_ID_RE.match(str(po)):
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return False, "missing_required_field"
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if po != subject_po:
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return False, "po_id_mismatch"
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if template_id == "coupa_cancellation":
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# Cancellation is complete once po_number is proven; save_cancellation
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# sets status=Cancelled by po_number and needs nothing else.
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return True, "ok"
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# ---- coupa_new_po ----
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# SCAFFOLD GUARD: extract_new_po is not implemented yet, so a new_po parse is
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# never provable -> fail closed to the LLM with an honest reason. Remove this
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# line once extract_new_po + the value-level rules below are implemented.
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return False, "new_po_not_implemented"
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# (6) status must be one of the confirmed-safe strings.
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status = candidate.get("po_status")
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if status not in NEW_PO_SAFE_STATUSES:
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return False, "unrecognized_status"
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# (7) single-line only -- multi-line Lines structure is unobserved.
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if len(candidate.get("line_items") or []) != 1:
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return False, "multiline_unsupported"
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# (8) currency must be exactly USD (non-USD path entirely unexercised).
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if candidate.get("currency") != "USD":
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return False, "non_usd"
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# TODO(new_po) value-level gate rules -- implement alongside extract_new_po:
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# * amount fidelity: re-serialize each Decimal to the source grouped format
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# and require byte-equality with the matched substring; reject if the
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# token is bordered by a digit/comma (guards '18,624.05' -> '624.05').
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# Then require sum(line_items[].amount) == total_amount.
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# * duplicate-label anchoring: reject Shipping=='None'; require ship_to has
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# a 'Location Code:' line; supplier.name contains 'SEA HAVEN';
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# ship_to.name != supplier.name.
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# * bullet metadata: every U+2022 segment carries a recognized leading
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# label; fail on any unlabeled segment.
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# * address shape: ship_to.state null-or-valid-USPS; ship_to.zip null-or
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# ^\d{5}(-\d{4})?$ after pad_zip; tokenize city/state/zip by pattern.
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# * _UNPARSEABLE discipline: reject any field still == _UNPARSEABLE.
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# * whitespace hygiene: reject any value still containing \r or \xa0.
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# Until the above land, new_po is not provable -> fail closed to the LLM.
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return False, "new_po_not_implemented"
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def try_deterministic_parse(email_data):
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"""Entry point. Returns (parsed|None, parse_method, template_id, reason).
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On a proven-conformant parse returns (dict, 'template', template_id, 'ok').
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On any miss/invalid/exception returns (None, 'ai_fallback', template_id,
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reason) -- a failure is NEVER a parsed result."""
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template_id = "unknown"
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try:
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template_id, reason = classify_template(email_data)
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if template_id == "unknown":
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return None, "ai_fallback", template_id, reason
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if template_id == "coupa_new_po":
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candidate = extract_new_po(email_data)
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else:
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candidate = extract_cancellation(email_data)
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ok, reason = validate(candidate, template_id, email_data)
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if not ok:
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return None, "ai_fallback", template_id, reason
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return candidate, "template", template_id, "ok"
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except Exception: # noqa: BLE001 -- fail closed on ANY extractor error
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return None, "ai_fallback", template_id, "extractor_raised"
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