procurement-ingest/cdk/po_stack.py
Adam Moussa dc17de4026
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feat: template-first PO parser with fail-closed gate and Bedrock fallback (#105)
* Add deterministic template parser for WO emails

The workorder-email-processor sends every one of ~22.9k emails/month to
an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment
template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse
those two shapes deterministically, offline, so the AI call is reserved
for the long tail.

The module is pure (no boto3, no network). try_deterministic_parse
classifies by subject, extracts the shared contract fields, and returns
a result ONLY when it passes a strict fail-closed validation gate: exact
contract-key set, subject/id agreement, the literal "Work Order:  <id>"
double space, per-type required fields, site-code shape, and a
label-bleed guard so a value that over-ran into the next field fails.
Any miss, drift, or extractor exception yields None so the caller falls
back to the AI extractor -- data is never corrupted, only the fallback
rate rises.

Refs: #23

* Migrate WO processor to Bedrock and fix comment_id collision

Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel
on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0
(BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or
Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept
byte-identical, so the AI-fallback output is unchanged. Try the new
deterministic template parser first and only call Bedrock on a
miss/invalid result.

Fix issue #23: the WorkOrderComments range key was
work_order_id#<comment_time>, so two emails on one WO with an identical
or absent comment time collided and overwrote each other. Derive a
12-hex suffix from the S3 object key alone -- deterministic, so an async
retry of the same object is byte-identical (idempotent) while distinct
emails get distinct keys -- and keep wall-clock now() out of the key
(literal 'nocomment' segment when comment_time is absent).

Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest
ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome
observability, replace the deprecated datetime.utcnow() with
datetime.now(timezone.utc), and drop the anthropic dependency.

Refs: #23

* Migrate PO processor to Bedrock

Switch the PO email processor's AI extraction from the Anthropic SDK to
bedrock-runtime InvokeModel on the inference profile
us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so
it no longer needs a provider API key or Secrets Manager secret. PO
parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT
is kept byte-identical and the Bedrock text output is still decoded with
json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects
floats). Replace the deprecated datetime.utcnow() with
datetime.now(timezone.utc) and drop the anthropic dependency.

* Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm

Both stacks moved their processors from the Anthropic API to the Bedrock
inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each
processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream
on BOTH the inference-profile ARN AND the per-region foundation-model
ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile
routes cross-region, so a profile-only grant AccessDenies at runtime.

Remove both anthropic-api-key Secret constructs, their grant_read, and
the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets
had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in
the README for manual post-deploy deletion and key revocation.

Add the workorder-email-processor-template-fallback-rate alarm: a
FILL(0) + >=10-sample volume-floor MathExpression over the EMF
ParseOutcome metric (15-min periods) that pages when the AI-fallback
share exceeds 15% sustained, catching Hexagon template drift. ALARM-only
SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the
existing stack idiom.

* Add offline WO parser test suite

Cover the deterministic parser with golden-file tests over 55 real
scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By,
address present/absent, br+CRLF assign addresses), fail-closed
validation-gate rules, adversarial and prompt-injection cases that must
route to ai_fallback or parse without corrupting other fields, the issue
#23 comment_id idempotency invariants, and the Bedrock-fallback dispatch
plus EMF-metric emission with a mocked invoke_model.

Extend pytest.ini testpaths to discover the co-located suite, and update
tests/conftest.load_handler to put a handler's own directory on sys.path
so the WO handler's new `from template_parser import ...` resolves under
the existing shared handler tests. Point test_local.py at the new
template-first + Bedrock flow.

Refs: #23

* Document Bedrock migration and WO parse flow in README

Record the provider switch to the Bedrock inference profile (no Anthropic
API key or Secrets Manager secret, with the retired secrets flagged for
manual deletion), the WO deterministic-template-first + AI-fallback flow,
the new ParseOutcome EMF metric and template-fallback-rate alarm, the
issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift,
and offline test instructions.

Refs: #23

* Fix f-string lint and formatting in backfill scripts

Drop the f prefix from two f-strings that carry no placeholders
(F541) and apply ruff format, so `ruff check` / `ruff format --check`
pass in CI.

* Emit ParseMethod-only EMF set so fallback alarm can fire

The fallback-rate alarm queries the ParseOutcome series keyed on
ParseMethod alone, but the emitter published only the joint
(ParseMethod, TemplateId) dimension set. CloudWatch materializes
exactly the listed dimension sets and does not auto-aggregate, so the
alarm's series never received data: it evaluated a constant 0 and
could never page on template-drift coverage collapse.

Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and
update the EMF regression test to assert both sets are present.

* Commit WO parser .eml fixtures for executable coverage

The parser test suite globbed for input .eml fixtures that the repo's
`*.eml` ignore rule kept uncommitted, so every parametrized golden and
fail-closed test collected zero cases and CI could not exercise the
deterministic parser that handles 100% of WO email volume.

Add a fixtures-only negation to .gitignore and commit the 55 scrubbed
positive samples (50 update-plaintext, 5 assign-html) plus 14
ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each
fail-closed reason code (subject_no_match, single_space_work_order,
malformed_site_code, label_bleed, creation_time_unparseable,
wo_id_mismatch, missing_required_field) and the adversarial set proves
the parser is total and confines prompt-injection payloads to
comment_text without steering the structured fields.

* feature: Add PO template parser scaffold and design doc

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>

* Implement PO new_po extraction and value-level gate

Replace the extract_new_po scaffold stub with the full
section-windowed extractor (duplicate-label anchoring, sentinel
ship-to, label-keyed U+2022 bullet split, Decimal money from three
anchored contexts only) and add value-level gate rules V1-V13.
Both new_po_not_implemented scaffold guards are removed; rules 6-8
(unrecognized_status, multiline_unsupported, non_usd) go live.

The gate re-derives every byte proof from the email body so an
extractor bug cannot vouch for itself: amount re-serialization
with a digit/comma border check (the thousands-separator
truncation kill switch), sum(lines)==total against both Total
blocks, anchor/supplier identity proofs, USPS address shape on
the raw pre-enrichment zip, bullet label discipline, and
sentinel/artifact hygiene. Any failure falls closed to the LLM;
a validation failure is never a parsed result.

Refs: #99

* Wire template-first parse into PO handler with EMF metric

Run try_deterministic_parse ahead of the Bedrock extractor and
fall back only on a miss/invalid (fail-closed) result. The shared
enrich_parsed post-stage and the save_cancellation/save_revision/
save_new_po routing are untouched, so both paths write identical
DynamoDB shapes and the po-ingest-site-extractor stream contract
is preserved.

Each record emits one ParseMethod EMF line (Seahaven/PoIngest/
ParseOutcome, dimension sets [ParseMethod] and
[ParseMethod,TemplateId], ReasonCode/po_number ride-alongs)
mirroring the WO idiom. The metric fires before the Bedrock call
so a Bedrock-side error still records the ai_fallback outcome.

Refs: #99

* Add PO fallback-rate alarm retuned for ~57 emails/day

The WO alarm's 15-min period and >=10-sample floor assume
~760/day and would be structurally dead at PO volume (a 15-min
period holds ~0.6 emails, so the floor is never met). Retune:
6-hour periods (~14.25 expected emails), IF((fb+tmpl)>=8,...)
volume floor so a single email can never breach a datapoint
(1/8 = 12.5% < 20%), threshold >20% against a ~1% expected
baseline, eval 4 / datapoints 2 (24h span) so noise self-clears
while total template drift pages within ~12h. No element-wise
MAX in the math expression (post-#102 rule); ALARM-only
SnsAction to site-alerts, NOT_BREACHING. Gated with
'npx cdk synth po-ingest'.

Also add template_parser.py to the bundling cp list -- without it
every deployed invocation would ImportError (unit tests cannot
catch an asset-bundling omission).

Refs: #99, #102

* Add offline PO parser suite with scrubbed fixture corpus

132 tests: golden-file comparison for all 25 positive fixtures
(17 single-line new-PO + 8 cancellations, Decimal-exact via
parse_float=Decimal), every fail-closed gate reason code covered
(body-level triggers via 17 synthetic adversarial .eml mutations,
candidate-level via direct validate() unit tests), real multi-line
and comment/non-Coupa fallback fixtures, dual line-ending parse
identity, two-path enrich/save parity (site-extractor stream
guard), V10 URL-id corpus sweep, fixture hygiene (ses_auth pass +
scrub-marker leak sweep), and Bedrock dispatch/EMF assertions.

The suite loads handler/template_parser via importlib under
unique module names and binds the handler's bare sibling imports
around exec (tests/conftest.py load_handler gets the same
treatment) -- the WO suite caches bare 'handler'/'template_parser'
names in sys.modules, and bare imports here would silently bind
to the wrong pipeline. moto is imported before the handler so its
botocore stubber hook precedes boto3 session creation (the PO
conftest chain now loads at pytest session start).

Fixtures are scrubbed real S3 samples: transport/auth header
values replaced with same-shape placeholders (structure kept so
ses_auth still passes), per-file digit ciphers, amounts remapped
with sum==total re-established. The .gitignore exception is
scoped to the PO fixtures path only.

Refs: #99

* Document PO template-first parser and retuned alarm

README: PO flow is now template-first with Bedrock fallback;
parser/gate section mirroring the WO writeup; Seahaven/PoIngest
ParseOutcome namespace and the fallback-rate alarm numbers with
their volume justification (deliberately not WO's settings);
test-suite and repo-layout updates.

Design doc: mark PR #1 complete in progress/checklist sections;
document the six value-level gate reason codes and the scaffold
guard removal; correct the stale data-access note (default CLI
session is 328440206208) and note the ~90-day S3 lifecycle aging
of the corpus; record the 2.3 layout addendum (leading Supplier
bullet segment, EA evidence lines, summary unit-price tokens,
decode-path line endings), the fixture-build pins (address join
convention, quantity/unit/price source), the V10 sweep outcome,
and resolutions for open questions Q3/Q6. Cross-family review and
the Confluence architecture-map update are flagged outstanding
for merge.

Refs: #99

* Record cross-family review outcome for handler wiring

GPT-4.1 cross_review.py run against the real handler diff
returned no BLOCK and no security findings; both FIX items
verified as no-change-needed (fallback logging already correct;
non-dict AI output is the pre-existing issue #101 pattern this
PR deliberately does not touch).

Refs: #99

* Pin line-item currency to USD in the PO gate

The non_usd rule only checked the Total-block top-level currency, so a
new_po whose line item read 'for 55,206.00 CAD' under a USD Total block
still template-parsed as ok -- a fail-open hole in the fail-closed
gate. Every line item's captured currency and its re-derived body token
must now byte-equal the proven-USD top-level currency; covered by a
line-level CAD adversarial fixture (the existing adv-non-usd only
exercised the Total-block variant) and a candidate-mutation unit test.

* Scrub residual transport tokens from PO fixtures

The first-pass harvest scrub sanitized only the primary SES/DKIM
header blocks, leaving the real SES Feedback-ID sender-identity hash
in 49 committed fixtures and, on the two non-Coupa fixtures, an
embedded second SES block's X-Ses-Receipt, the Exchange cross-tenant
UPN ciphertext, and Gmail ARC fh= / X-Gm-* tokens -- exactly the
token classes the PR #99 fixture lesson requires placeholdered.
Replace each with a same-shape ScrubbedFixture value (byte-safe,
CRLF and folding preserved) so header structure and ses_auth
behavior are unchanged.

* Converge quantity/price to Decimal on both paths

EXTRACTION_PROMPT declares quantity and price as JSON strings, so a
prompt-obedient Bedrock response stores DynamoDB Strings where the
template parser stores Numbers -- divergent attribute types for the
same email on the purchase-orders stream. Coerce numeric strings to
Decimal in the shared enrich_parsed post-stage (thousands-separator
safe; non-numeric strings kept verbatim) so both paths converge;
prompt rewording itself remains PR #2 scope.

The two-path parity test was circular -- it replayed the parser-
derived golden as 'the LLM output', so it could never see the type
divergence. It now feeds a prompt-shaped payload (string quantity/
price, LLM-filled site_code) through enrich_parsed and save_new_po,
and the fixture-hygiene test now asserts the scrubbed transport-token
header classes so fixture regressions are caught.

* Coerce bare-int quantity/price to Decimal in enrich_parsed

GPT-4.1 cross-family review of the final PR diff (no BLOCK) flagged
residual type drift: parse_float=Decimal rules out floats on the LLM
path, but a bare JSON int survived as Python int. Coerce it so both
parse paths emit one canonical Decimal type.

* Scrub fixture-body PII and harden cancellation gate (sec review)

/sh-security-review of PR #105 (5 fresh-context detectors + proof-or-kill
verifier) confirmed two diff-introduced findings; both fixed here.

F3 (medium, real PII in new fixtures): the harvest scrub replaced header
tokens but left real third-party PII in message BODIES -- an Amazon
contact's name/phone/personal email in non-coupa-02.eml and an internal
t.corp.amazon.com ticket URL in comment-02.eml, plus real submitter/attn
names recurring across the new_po corpus. Replaced every personal name,
phone, personal email, and internal URL with synthetic placeholders
(QP-soft-wrap aware) across both .eml bodies and expected goldens.
Extended test_fixture_hygiene to scan BODIES (phone shapes, corp URLs,
the leaked tokens), closing the header-only gap that let this through.

F1 (medium, cancellation gate): _CANCELLATION_SUBJECT was unanchored and
matched with .search(), unlike the anchored new_po pattern -- a subject
merely ending with the cancellation phrase could be routed to the sticky-
Cancelled write. Fully anchored it and switched to .match, and added a
body-corroboration gate (the real Coupa body independently restates
'Purchase Order #<po> ... has been cancelled'); a near-miss/misrouted
subject whose body does not corroborate now fails closed to the LLM
(new reason code cancellation_body_unconfirmed).

Pre-existing (advisory, not this PR): the LLM-fallback else->save_new_po
dispatch and undelimited extraction prompt (issue #101 family) are
byte-identical to main and unchanged here.

401 tests pass; ruff/format clean; cdk synth po-ingest clean.

---------

Signed-off-by: Adam Moussa <166072409+amoussa1229@users.noreply.github.com>
2026-07-16 17:50:59 -04:00

696 lines
31 KiB
Python

"""CDK stack for the Coupa PO email ingestion pipeline."""
import aws_cdk as cdk
from aws_cdk import (
Duration,
RemovalPolicy,
Stack,
aws_cloudwatch as cloudwatch,
aws_cloudwatch_actions as cw_actions,
aws_dynamodb as dynamodb,
aws_iam as iam,
aws_kms as kms,
aws_lambda as lambda_,
aws_lambda_event_sources as lambda_event_sources,
aws_logs as logs,
aws_s3 as s3,
aws_s3_notifications as s3n,
aws_ses as ses,
aws_ses_actions as ses_actions,
aws_secretsmanager as secretsmanager,
aws_sns as sns,
aws_sqs as sqs,
aws_ssm as ssm,
)
from constructs import Construct
# Operations these tables actually issue (PutItem/UpdateItem/DeleteItem writes,
# GetItem/Query/BatchGetItem reads). DynamoDB emits ThrottledRequests/SystemErrors
# keyed by TableName + Operation only, so the CDK *_for_operations helpers (which
# render a SUM MathExpression across these per-operation metrics) are the correct,
# non-deprecated way to roll a table up to a single alarmable series.
_DDB_ALARM_OPERATIONS = [
dynamodb.Operation.GET_ITEM,
dynamodb.Operation.BATCH_GET_ITEM,
dynamodb.Operation.QUERY,
dynamodb.Operation.SCAN,
dynamodb.Operation.PUT_ITEM,
dynamodb.Operation.UPDATE_ITEM,
dynamodb.Operation.DELETE_ITEM,
dynamodb.Operation.BATCH_WRITE_ITEM,
]
def _add_ddb_alarms(scope, id_prefix, table, alarm_name_prefix, alarm_topic):
"""Add throttle + system-error alarms for a DynamoDB table.
Both fire on any non-zero datapoint in a 5-min window. ALARM-only SnsAction
to site-alerts (no OK action); TreatMissingData NOT_BREACHING.
"""
table.metric_throttled_requests_for_operations(
operations=_DDB_ALARM_OPERATIONS,
period=Duration.minutes(5),
statistic="Sum",
).create_alarm(
scope,
f"{id_prefix}ThrottlesAlarm",
alarm_name=f"{alarm_name_prefix}-throttles",
alarm_description=f"{alarm_name_prefix} DynamoDB throttled requests",
threshold=0,
evaluation_periods=1,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
table.metric_system_errors_for_operations(
operations=_DDB_ALARM_OPERATIONS,
period=Duration.minutes(5),
statistic="Sum",
).create_alarm(
scope,
f"{id_prefix}SystemErrorsAlarm",
alarm_name=f"{alarm_name_prefix}-system-errors",
alarm_description=f"{alarm_name_prefix} DynamoDB server-side (5xx) errors",
threshold=0,
evaluation_periods=1,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
# CloudWatch namespace for the log-derived sender-authentication metrics.
_SENDER_AUTH_METRIC_NAMESPACE = "Seahaven/ProcurementIngest"
def _add_sender_auth_rejected_alarm(scope, id_prefix, function_name, alarm_topic):
"""Metric-filter + alarm on ``sender_auth_rejected`` warnings (INFRA-107).
A rejected inbound email is skipped without erroring the invocation, so it
is invisible to the Errors/Throttles/DLQ alarms. This turns the structured
warning log into a CloudWatch metric and pages when rejections spike --
catching a silent false-reject storm (allowlist wrong, signing-domain
drift, SES header-format change) that would otherwise discard legitimate
mail while the pipeline reports healthy.
ALARM-only SnsAction to site-alerts; no OK action. The metric filter reads
the function's own log group (imported by the deterministic
``/aws/lambda/<fn>`` name, created by the function's log_retention). A plain
substring pattern is used because Lambda prefixes each line with its own
level/timestamp/request-id, so the JSON payload is not a standalone JSON
log event a `{$.event=...}` pattern could match.
"""
metric_name = f"{function_name}-sender-auth-rejected"
logs.MetricFilter(
scope,
f"{id_prefix}SenderAuthRejectedFilter",
log_group=logs.LogGroup.from_log_group_name(
scope,
f"{id_prefix}LogGroup",
f"/aws/lambda/{function_name}",
),
filter_pattern=logs.FilterPattern.literal('"sender_auth_rejected"'),
metric_namespace=_SENDER_AUTH_METRIC_NAMESPACE,
metric_name=metric_name,
metric_value="1",
default_value=0,
)
# Fire on a *sustained* reject condition rather than a volume spike. The
# earlier Sum>=3-over-15-min threshold had a blind spot that is exactly the
# failure this alarm exists to catch: a low-traffic pipeline in total
# drift outage (allowlist wrong / signing-domain changed) may only produce
# a trickle of rejects -- one every few minutes -- that never sums to 3 in
# any window, so the outage never pages. Instead: >=1 reject per 5-min
# period, alarming when 2 of the last 6 periods breach (evaluation_periods=6
# / datapoints_to_alarm=2). Six periods (30 min) with only 2 required
# datapoints closes the sparse-outage residual: even rejections >10-15 min
# apart can still place two breaching datapoints in a single 30-min
# evaluation window. A single stray spoof probe (one lone period) is
# tolerated and self-clears, but a sustained reject condition trips even
# at very low arrival rates. default_value=0 on the metric filter keeps the
# series continuous so NOT_BREACHING only applies before the first datapoint
# ever arrives.
cloudwatch.Metric(
namespace=_SENDER_AUTH_METRIC_NAMESPACE,
metric_name=metric_name,
period=Duration.minutes(5),
statistic="Sum",
).create_alarm(
scope,
f"{id_prefix}SenderAuthRejectedAlarm",
alarm_name=f"{function_name}-sender-auth-rejected",
alarm_description=(
f"{function_name} rejected inbound mail on sender authentication "
"(possible allowlist/DKIM-domain drift silently dropping real mail)"
),
threshold=1,
evaluation_periods=6,
datapoints_to_alarm=2,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_OR_EQUAL_TO_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
class PoIngestStack(Stack):
def __init__(self, scope: Construct, construct_id: str, **kwargs):
super().__init__(scope, construct_id, **kwargs)
# --- Shared alarm SNS topic (site-alerts) ---
# Imported once near the top so every alarm in this stack reuses the same
# Topic construct instance (avoids duplicate logical IDs). ALARM-only
# SnsAction; no OK action, per the CloudWatch-alarm preference. The
# topic's CMK (alias/seahaven-alarm-topics) lives on the topic itself.
alarm_topic = sns.Topic.from_topic_arn(
self,
"SiteAlertsTopic",
f"arn:aws:sns:{self.region}:{self.account}:site-alerts",
)
# --- S3 bucket for raw emails ---
email_bucket = s3.Bucket(
self,
"EmailBucket",
bucket_name=f"po-ingest-emails-{self.account}",
block_public_access=s3.BlockPublicAccess.BLOCK_ALL,
removal_policy=RemovalPolicy.RETAIN,
lifecycle_rules=[
s3.LifecycleRule(expiration=Duration.days(90)),
],
)
# --- Shared customer-managed CMK for sensitive DynamoDB tables ---
# Owned by the account-baseline app (alias/seahaven-dynamodb, INFRA-95 /
# M-3); ARN published to SSM. The purchase-orders table was migrated to
# SSE-KMS out-of-band, so declaring encryption_key here reconciles the
# drift and — via grant_read_write_data below — propagates the required
# kms:Decrypt/GenerateDataKey/DescribeKey to the consumer roles.
dynamodb_cmk = kms.Key.from_key_arn(
self,
"DynamoDbCmk",
ssm.StringParameter.value_for_string_parameter(
self, "/seahaven/dynamodb/cmk-arn"
),
)
# --- Purchase-orders DynamoDB table ---
# Owned by this stack. Streams enabled for the site-extractor pipeline.
# Other stacks (seahaven-slack-bot) reference this table via fromTableName().
po_table = dynamodb.Table(
self,
"PurchaseOrdersTable",
table_name="purchase-orders",
partition_key=dynamodb.Attribute(
name="po_number",
type=dynamodb.AttributeType.STRING,
),
billing_mode=dynamodb.BillingMode.PAY_PER_REQUEST,
removal_policy=RemovalPolicy.RETAIN,
stream=dynamodb.StreamViewType.NEW_IMAGE,
encryption=dynamodb.TableEncryption.CUSTOMER_MANAGED,
encryption_key=dynamodb_cmk,
)
# --- Anthropic API key secret removed (Bedrock migration) ---
# PO parsing stays fully AI but moved from the Anthropic API to the
# Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0,
# so no provider API key is needed. The old secret
# "po-ingest/anthropic-api-key" had RemovalPolicy.RETAIN, so it is
# ORPHANED (not deleted) by this change: delete it manually post-deploy
# and revoke the stored key at Anthropic.
# --- DLQ for failed async invocations (INFRA-41 / audit H-8) ---
# SES → S3 → Lambda is async; without an OnFailure destination a failed
# parse (bad email, transient error) is silently dropped after Lambda's
# retries. CDK generates the queue name to avoid colliding with the
# interim CLI-created po-email-processor-dlq (removed post-deploy).
email_processor_dlq = sqs.Queue(
self,
"EmailProcessorDlq",
retention_period=Duration.days(14),
enforce_ssl=True,
)
# --- Lambda function ---
email_processor = lambda_.Function(
self,
"EmailProcessor",
function_name="po-email-processor",
runtime=lambda_.Runtime.PYTHON_3_12,
architecture=lambda_.Architecture.ARM_64,
handler="handler.handler",
code=lambda_.Code.from_asset(
"../lambdas/po/email_processor",
bundling=cdk.BundlingOptions(
image=lambda_.Runtime.PYTHON_3_12.bundling_image,
command=[
"bash",
"-c",
"pip install --platform manylinux2014_aarch64 --only-binary=:all: "
"-r requirements.txt -t /asset-output && "
"cp handler.py ses_auth.py template_parser.py /asset-output/",
],
),
),
timeout=Duration.seconds(60),
memory_size=256,
log_retention=logs.RetentionDays.TWO_MONTHS,
dead_letter_queue=email_processor_dlq,
environment={
"PO_TABLE": "purchase-orders",
"BEDROCK_MODEL_ID": "us.anthropic.claude-haiku-4-5-20251001-v1:0",
# Fail-closed sender auth (INFRA-107): the handler only
# accepts mail whose SES-stamped Authentication-Results
# header carries dkim=pass for one of these domains.
# Observed on live traffic 2026-07-15: Coupa PO mail passes
# DKIM for amazon.coupahost.com (and amazonses.com, which is
# deliberately NOT allowlisted — every SES customer's mail
# passes that). Unset/empty ⇒ the handler rejects all mail.
"ALLOWED_DKIM_DOMAINS": "amazon.coupahost.com",
},
)
# Grant permissions
email_bucket.grant_read(email_processor)
po_table.grant_read_write_data(email_processor)
# --- Bedrock InvokeModel grant ---
# The us.* inference profile can route cross-region, so the grant MUST
# cover both the inference-profile ARN AND the per-region foundation-model
# ARNs (empty account field) for every region the profile can reach
# (us-east-1/us-east-2/us-west-2). A profile-only grant AccessDenies at
# runtime whenever the profile routes to a region whose foundation-model
# ARN is not allowed.
email_processor.add_to_role_policy(
iam.PolicyStatement(
actions=[
"bedrock:InvokeModel",
"bedrock:InvokeModelWithResponseStream",
],
resources=[
"arn:aws:bedrock:us-east-1:328440206208:inference-profile/us.anthropic.claude-haiku-4-5-20251001-v1:0",
"arn:aws:bedrock:us-east-1::foundation-model/anthropic.claude-haiku-4-5-20251001-v1:0",
"arn:aws:bedrock:us-east-2::foundation-model/anthropic.claude-haiku-4-5-20251001-v1:0",
"arn:aws:bedrock:us-west-2::foundation-model/anthropic.claude-haiku-4-5-20251001-v1:0",
],
)
)
# --- Errors alarm (INFRA-41 / audit H-8) ---
# ALARM-only (no OK action, per the CloudWatch-alarm preference) to the
# shared site-alerts topic. Any errored invocation in a 5-min window pages.
email_processor.metric_errors(
period=Duration.minutes(5),
statistic="Sum",
).create_alarm(
self,
"EmailProcessorErrorsAlarm",
alarm_name="po-email-processor-errors",
alarm_description="po-email-processor async invocation errors",
threshold=0,
evaluation_periods=1,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
# --- Sender-auth rejection alarm (INFRA-107) ---
# A rejected email (bad/unaligned DKIM verdict) returns normally, so it
# produces NO Lambda error, NO DLQ message and NO retry -- only a
# `sender_auth_rejected` warning log. Without this metric filter + alarm a
# domain drift (Coupa rotates its signing subdomain, SES changes its
# Authentication-Results format, the allowlist is wrong) would silently
# discard 100% of legitimate PO mail while every other alarm stays green.
# A CloudWatch Logs metric filter turns those warnings into a metric so a
# false-reject storm pages instead of vanishing. default_value=0 keeps the
# series populated (alarm stays OK, never INSUFFICIENT_DATA) between events.
_add_sender_auth_rejected_alarm(
self, "EmailProcessor", "po-email-processor", alarm_topic
)
# --- Throttles alarm: po-email-processor ---
# Any throttled invocation (concurrency cap hit) in a 5-min window pages.
# ALARM-only to site-alerts; no OK action; NOT_BREACHING when no data.
email_processor.metric_throttles(
period=Duration.minutes(5),
statistic="Sum",
).create_alarm(
self,
"EmailProcessorThrottlesAlarm",
alarm_name="po-email-processor-throttles",
alarm_description="po-email-processor invocation throttles",
threshold=0,
evaluation_periods=1,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
# --- DLQ messages-present alarm ---
# Pages when any message lands in the EmailProcessorDlq: a message here
# means a PO email was permanently dropped after Lambda exhausted its
# async retries. Maximum over a single 5-min window > 0 fires; missing
# data (no messages metric emitted) is not breaching. Reuses the shared
# site-alerts topic, ALARM-only, like the errors alarm above. The metric
# helper derives the QueueName dimension from the queue construct, so the
# alarm tracks the CDK-generated queue name without hardcoding it.
email_processor_dlq.metric_approximate_number_of_messages_visible(
period=Duration.minutes(5),
statistic="Maximum",
).create_alarm(
self,
"EmailProcessorDlqMessagesAlarm",
alarm_name="po-email-processor-dlq-messages",
alarm_description="po-email-processor DLQ has messages (dropped PO emails)",
threshold=0,
evaluation_periods=1,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
# --- Duration alarm: po-email-processor (orphan adoption) ---
# Adopts the orphaned CLI alarm Lambda-Duration-po-email-processor under
# the repo's <fn>-duration naming (NEW logical name → no deploy collision;
# delete the orphan post-deploy). p99 / 45000 ms
# (75% of the 60s timeout) / eval 3 of 3 — tighter than the orphan's
# Maximum>=48000 / 1-of-1.
email_processor.metric_duration(
period=Duration.minutes(5),
statistic="p99",
).create_alarm(
self,
"EmailProcessorDurationAlarm",
alarm_name="po-email-processor-duration",
alarm_description="po-email-processor p99 duration approaching the 60s timeout",
threshold=45000,
evaluation_periods=3,
datapoints_to_alarm=2,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_OR_EQUAL_TO_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
# --- Template fallback-rate alarm: po-email-processor ---
# The processor tries a deterministic template parse first and only calls
# the Bedrock AI extractor on a miss/invalid. A sustained rise in the
# ai_fallback share signals Coupa template drift (coverage collapse).
# EMF metric Seahaven/PoIngest/ParseOutcome, dimensioned by ParseMethod
# (template|ai_fallback).
#
# RETUNED for PO volume (~57 emails/day ≈ 14.25 per 6h period) -- the WO
# alarm's 15-min period / >=10-sample floor assume ~760/day and would be
# structurally DEAD here (a 15-min period holds ~0.6 PO emails, so the
# floor is never met and the IF always takes the 0 branch):
# * period 6h: a stable ~14-email denominator per datapoint.
# * volume floor >=8: at the floor, one fallback email = 12.5% < 20%,
# so a single email can NEVER breach a datapoint; a breach needs >=2
# fallbacks in one 6h window (2/8 = 25%) or >=3 at typical volume
# (3/14 ≈ 21%). Sparse overnight/weekend windows (<8 emails) take
# the 0 branch -- non-breaching by design (accepted trade: a Friday-
# evening drift may not page until weekend volume accrues).
# * threshold >20%: expected baseline fallback ≈1% (comments 0.55% +
# multi-line 0.18% + non-USD 0) -- far below the threshold.
# * 2 of 4 datapoints (24h span): isolated noise self-clears, while
# total template drift (100% fallback) pages within ~12h.
# Post-#102 rule: NO element-wise MAX(timeseries, scalar) in alarm math;
# the IF volume floor guarantees the non-zero denominator. Any change to
# this expression must be gated by `npx cdk synth po-ingest`.
fb_metric = cloudwatch.Metric(
namespace="Seahaven/PoIngest",
metric_name="ParseOutcome",
dimensions_map={"ParseMethod": "ai_fallback"},
statistic="Sum",
period=Duration.hours(6),
)
tmpl_metric = cloudwatch.Metric(
namespace="Seahaven/PoIngest",
metric_name="ParseOutcome",
dimensions_map={"ParseMethod": "template"},
statistic="Sum",
period=Duration.hours(6),
)
fallback_rate = cloudwatch.MathExpression(
expression=(
"IF((FILL(fb,0)+FILL(tmpl,0))>=8, "
"100*FILL(fb,0)/(FILL(fb,0)+FILL(tmpl,0)), 0)"
),
using_metrics={"fb": fb_metric, "tmpl": tmpl_metric},
period=Duration.hours(6),
label="TemplateFallbackRatePct",
)
fallback_rate.create_alarm(
self,
"EmailProcessorTemplateFallbackRateAlarm",
alarm_name="po-email-processor-template-fallback-rate",
alarm_description=(
"po-email-processor deterministic-template coverage collapse: "
">20% of parses fell back to the Bedrock AI extractor"
),
threshold=20,
evaluation_periods=4,
datapoints_to_alarm=2,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
# S3 event notification → Lambda
email_bucket.add_event_notification(
s3.EventType.OBJECT_CREATED,
s3n.LambdaDestination(email_processor),
s3.NotificationKeyFilter(prefix="inbound/"),
)
# --- SES Receipt Rule ---
# Reuse the existing INBOUND_MAIL rule set (shared with workorder-ingest)
rule_set = ses.ReceiptRuleSet.from_receipt_rule_set_name(
self,
"ExistingRuleSet",
"INBOUND_MAIL",
)
rule_set.add_rule(
"PoEmailRule",
recipients=["amazon_po@int.seahaven.com"],
actions=[
ses_actions.S3(
bucket=email_bucket,
object_key_prefix="inbound/",
),
],
)
# --- Web UI auth token secret ---
# Shared secret for the web UI auth gate, stored in Secrets Manager and
# resolved at runtime so the token never appears in CloudFormation templates
# or Lambda environment variables. Create this secret before deploying
# either stack; both PO and WO stacks reference it by name.
web_ui_auth_secret = secretsmanager.Secret.from_secret_name_v2(
self,
"WebUiAuthToken",
"procurement-ingest/web-ui-auth-token",
)
# --- Web UI Lambda ---
web_ui = lambda_.Function(
self,
"WebUI",
function_name="po-web-ui",
runtime=lambda_.Runtime.PYTHON_3_12,
architecture=lambda_.Architecture.ARM_64,
handler="handler.handler",
code=lambda_.Code.from_asset("../lambdas/po/web_ui"),
timeout=Duration.seconds(60),
memory_size=256,
log_retention=logs.RetentionDays.TWO_MONTHS,
environment={
"PO_TABLE": "purchase-orders",
# Defense-in-depth shared secret for the web UI handler. The
# handler fails closed if this ARN is unset or the secret is
# missing, so any future invocation path cannot re-expose the
# PO DB unauthenticated. The secret value is fetched at runtime
# from Secrets Manager (not embedded in env vars or template).
"WEB_UI_AUTH_TOKEN_SECRET_ARN": web_ui_auth_secret.secret_arn,
},
)
po_table.grant_read_data(web_ui)
web_ui_auth_secret.grant_read(web_ui)
# --- Throttles alarm: po-web-ui ---
web_ui.metric_throttles(
period=Duration.minutes(5),
statistic="Sum",
).create_alarm(
self,
"WebUiThrottlesAlarm",
alarm_name="po-web-ui-throttles",
alarm_description="po-web-ui invocation throttles",
threshold=0,
evaluation_periods=1,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
# --- Duration alarm: po-web-ui ---
# Net-new (no orphan exists for this function).
# p99 / 45000 ms (75% of the 60s timeout) / eval 3, datapoints 2.
web_ui.metric_duration(
period=Duration.minutes(5),
statistic="p99",
).create_alarm(
self,
"WebUiDurationAlarm",
alarm_name="po-web-ui-duration",
alarm_description="po-web-ui p99 duration approaching the 60s timeout",
threshold=45000,
evaluation_periods=3,
datapoints_to_alarm=2,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_OR_EQUAL_TO_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
# Public Function URL removed 2026-06-08 (INFRA-74 / audit C-5): the
# unauthenticated FunctionUrlAuthType.NONE URL was deleted out-of-band
# via CLI. Removing the construct (and its auto-generated Principal:*
# invoke permission) reconciles IaC with the live state.
# --- Verified sites table (extracted from PO ship-to addresses) ---
verified_sites_table = dynamodb.Table(
self,
"VerifiedSitesTable",
table_name="verified-sites",
partition_key=dynamodb.Attribute(
name="siteCode",
type=dynamodb.AttributeType.STRING,
),
billing_mode=dynamodb.BillingMode.PAY_PER_REQUEST,
removal_policy=RemovalPolicy.RETAIN,
)
# by-state GSI removed 2026-06-03 (audit M-20): 0 reads in 30d against
# 518 WCU of write amplification. Re-add if a state-level query path ships.
# --- Site extractor Lambda (DynamoDB Streams → verified-sites) ---
site_extractor = lambda_.Function(
self,
"SiteExtractor",
function_name="po-ingest-site-extractor",
runtime=lambda_.Runtime.PYTHON_3_12,
architecture=lambda_.Architecture.ARM_64,
handler="handler.handler",
code=lambda_.Code.from_asset("../lambdas/po/site_extractor"),
timeout=Duration.seconds(60),
memory_size=256,
log_retention=logs.RetentionDays.TWO_MONTHS,
environment={
"VERIFIED_SITES_TABLE": verified_sites_table.table_name,
"PENDING_REVIEW_TABLE": "pending-site-review",
},
)
verified_sites_table.grant_read_write_data(site_extractor)
site_extractor.add_event_source(
lambda_event_sources.DynamoEventSource(
po_table,
starting_position=lambda_.StartingPosition.TRIM_HORIZON,
batch_size=10,
max_batching_window=Duration.seconds(30),
bisect_batch_on_error=True,
retry_attempts=3,
)
)
# --- Errors alarm: po-ingest-site-extractor ---
# Stream-consumer errors retry per the event-source config, but a
# persistent failure stalls the verified-sites pipeline. ALARM-only to
# site-alerts; no OK action; NOT_BREACHING when no data.
site_extractor.metric_errors(
period=Duration.minutes(5),
statistic="Sum",
).create_alarm(
self,
"SiteExtractorErrorsAlarm",
alarm_name="po-ingest-site-extractor-errors",
alarm_description="po-ingest-site-extractor invocation errors",
threshold=0,
evaluation_periods=1,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
# --- Throttles alarm: po-ingest-site-extractor ---
site_extractor.metric_throttles(
period=Duration.minutes(5),
statistic="Sum",
).create_alarm(
self,
"SiteExtractorThrottlesAlarm",
alarm_name="po-ingest-site-extractor-throttles",
alarm_description="po-ingest-site-extractor invocation throttles",
threshold=0,
evaluation_periods=1,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
# --- Duration alarm: po-ingest-site-extractor ---
# Net-new (no orphan exists for this function).
# p99 / 45000 ms (75% of the 60s timeout) / eval 3, datapoints 2.
site_extractor.metric_duration(
period=Duration.minutes(5),
statistic="p99",
).create_alarm(
self,
"SiteExtractorDurationAlarm",
alarm_name="po-ingest-site-extractor-duration",
alarm_description="po-ingest-site-extractor p99 duration approaching the 60s timeout",
threshold=45000,
evaluation_periods=3,
datapoints_to_alarm=2,
comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_OR_EQUAL_TO_THRESHOLD,
treat_missing_data=cloudwatch.TreatMissingData.NOT_BREACHING,
).add_alarm_action(cw_actions.SnsAction(alarm_topic))
cdk.CfnOutput(
self,
"VerifiedSitesTableName",
value=verified_sites_table.table_name,
description="Verified site addresses extracted from POs",
)
# --- Pending site review table (POs with no extractable site code) ---
pending_review_table = dynamodb.Table(
self,
"PendingSiteReviewTable",
table_name="pending-site-review",
partition_key=dynamodb.Attribute(
name="po_number",
type=dynamodb.AttributeType.STRING,
),
billing_mode=dynamodb.BillingMode.PAY_PER_REQUEST,
removal_policy=RemovalPolicy.RETAIN,
)
pending_review_table.grant_read_write_data(site_extractor)
verified_sites_table.grant_read_data(site_extractor)
# --- DynamoDB throttle + system-error alarms ---
# ThrottledRequests / SystemErrors emit at TableName + Operation only
# (verified against live CloudWatch: no TableName-only rollup exists, and
# metric_throttled_requests is deprecated/invalid in aws-cdk-lib 2.259.0).
# Each table currently has zero throttle/error datapoints, so the series
# only materialise on first occurrence — NOT_BREACHING keeps them OK until
# then.
_add_ddb_alarms(
self, "PurchaseOrdersTable", po_table, "purchase-orders", alarm_topic
)
_add_ddb_alarms(
self,
"VerifiedSitesTable",
verified_sites_table,
"verified-sites",
alarm_topic,
)
_add_ddb_alarms(
self,
"PendingSiteReviewTable",
pending_review_table,
"pending-site-review",
alarm_topic,
)