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https://github.com/Sea-Haven-Industries/procurement-ingest.git
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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
235 lines
19 KiB
Markdown
235 lines
19 KiB
Markdown
# Procurement Ingest
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Unified email ingestion pipelines for Amazon procurement data. Two independent pipelines — purchase orders (Coupa) and work orders (APM/Hexagon EAM) — share a single repo and CDK app but deploy as separate CloudFormation stacks.
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## Pipelines
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### Purchase Orders (`po-ingest` stack)
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Coupa PO emails are received at `amazon_po@int.seahaven.com`, parsed by Claude Haiku 4.5 **on Amazon Bedrock**, and written to the `purchase-orders` DynamoDB table. PO parsing is fully AI (no deterministic parser).
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**Flow:**
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1. Coupa sends a PO email (new, revision, or cancellation).
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2. SES (`INBOUND_MAIL` rule set) drops the raw MIME into `s3://po-ingest-emails-{AccountId}/inbound/`.
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3. S3 `ObjectCreated` triggers the `po-email-processor` Lambda.
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4. Claude (via Bedrock `InvokeModel`) extracts structured JSON (PO number, status, supplier, site code, trade classification, line items, fiscal year). Numeric amounts are decoded with `parse_float=Decimal` (DynamoDB rejects floats).
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5. Conditional write to DynamoDB:
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- `new_po` — idempotent insert (no-op if PO exists)
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- `revision` — unconditional overwrite
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- `cancellation` — marks existing row `Cancelled`
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6. DynamoDB Streams feeds downstream consumers:
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- **LedgerFlow** (`seahaven-slack-bot/po-sync`) — daily KB sync
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- **Site extractor** (`po-ingest-site-extractor`) — real-time site address extraction into `verified-sites` table
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**Lambdas** (`lambdas/po/`):
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| Function | Trigger | Purpose |
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| `po-email-processor` | S3 ObjectCreated | Claude extraction + DynamoDB write |
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| `po-ingest-site-extractor` | DynamoDB Streams | Site code/address extraction -> `verified-sites` |
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| `po-web-ui` | Manual invoke | HTML dashboard (public Function URL removed 2026-06-08, INFRA-74) |
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**Tables:**
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- `purchase-orders` (PK: `po_number`, Streams: NEW_IMAGE) — shared with seahaven-slack-bot (read-only; see Shared Resources)
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- `verified-sites` (PK: `siteCode`) — ~1,100 unique Amazon facility sites (`by-state` GSI removed 2026-06-03, audit M-20)
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- `pending-site-review` (PK: `po_number`) — unresolvable POs for manual Payee Central verification
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### Work Orders (`WorkorderIngestStack` stack)
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Amazon APM work order emails (from Hexagon EAM / HxGN SmartCloud) are received at `apm@int.seahaven.com`, parsed **deterministic-template-first with a Claude-on-Bedrock fallback**, and written to the `WorkOrders` DynamoDB table.
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**Flow:**
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1. Hexagon EAM sends email notifications (new assignments, comments, updates, cancellations) to `amazon@seahavenind.com`.
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2. Gmail filter forwards APM emails to `apm@int.seahaven.com` (SES).
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3. SES drops the raw MIME into `s3://workorder-ingest-emails-{AccountId}/inbound/`.
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4. S3 triggers the `workorder-email-processor` Lambda.
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5. **Parse:** a pure, offline template parser (`template_parser.py`) tries the two known Hexagon templates first, behind a strict fail-closed validation gate. Only on a miss/invalid result does the Lambda fall back to the Claude-on-Bedrock AI extractor. Both paths emit the identical structured-JSON contract (work order ID, site code, severity, priority, dates, assigned technician).
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6. Work order upserted to `WorkOrders`, event/comment appended to `WorkOrderComments`.
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**Deterministic template parser.** ~93.6% of WO traffic is the plain-text "AMAZON UPDATE WO DETAILS \<id\>" comment template (T1) and ~6.4% is the HTML "AMAZON assign Work Order \<id\> on building \<SITE\>" assignment template (T2). `template_parser.try_deterministic_parse()` classifies by subject, extracts the contract fields, and returns a parsed result **only if** it passes a strict validation gate (exact contract-key set; `work_order_id` matches the subject and is all-digits; the T1 `Work Order: <id>` double-space is literally present; `email_type` matches the template; `site_code` shape; per-type required fields; and a label-bleed guard so a value that over-ran into another field fails). Anything that fails — the rare update/cancellation shapes, Hexagon template drift, or an extractor exception — falls back to the AI extractor. **Data is never corrupted; only the fallback rate rises.** Every record emits one CloudWatch EMF metric (see below).
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**Lambdas** (`lambdas/wo/`):
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| Function | Trigger | Purpose |
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| `workorder-email-processor` | S3 ObjectCreated | Claude extraction + DynamoDB write |
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| `workorder-web-ui` | Manual invoke | HTML dashboard (public Function URL removed 2026-06-08, INFRA-74) |
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**Tables:**
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- `WorkOrders` (PK: `work_order_id`) — `site-code-index` and `status-index` GSIs removed 2026-06-03 (audit M-20)
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- `WorkOrderComments` (PK: `work_order_id`, SK: `comment_id`) — see the `comment_id` format note below
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## Architecture
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**IaC:** AWS CDK (Python), two stacks in one app, region `us-east-1`.
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All Lambdas: Python 3.12, ARM64, 60-day log retention.
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**LLM provider — Amazon Bedrock.** Both email processors call Claude Haiku 4.5 through the Bedrock inference profile `us.anthropic.claude-haiku-4-5-20251001-v1:0` (`bedrock-runtime` `InvokeModel`), configured via the `BEDROCK_MODEL_ID` env var. There is **no Anthropic API key and no Secrets Manager secret** any more. Each processor role is granted `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 foundation-model ARNs) — the `us.*` profile can route cross-region, so a profile-only grant would `AccessDenied` at runtime under load.
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> **Retired secrets (manual cleanup outstanding):** the former secrets `po-ingest/anthropic-api-key` and `workorder-ingest/anthropic-api-key` had `RemovalPolicy.RETAIN`, so removing them from the CDK stacks **orphans** them rather than deleting them. Delete both by hand post-deploy and revoke the stored keys at the provider.
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**SES:** Both stacks add rules to the shared `INBOUND_MAIL` receipt rule set on `int.seahaven.com`.
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**Failure handling (INFRA-41):** Each email-processor is async-invoked (S3 → Lambda). Both have a CDK-managed SQS dead-letter queue (`dead_letter_queue=`, 14-day retention, SSL-enforced) so a failed parse is captured rather than silently dropped after Lambda's retries.
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### CloudWatch alarms
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Every alarm is **ALARM-only** (no OK action), sends to the shared `site-alerts` SNS topic (imported once per stack via `Topic.from_topic_arn`), and uses `TreatMissingData.NOT_BREACHING`.
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**Lambda alarms** (`AWS/Lambda`, `FunctionName` dimension):
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| Alarm | Functions | Metric / config |
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| `<fn>-errors` | `po-email-processor`, `po-ingest-site-extractor`, `workorder-email-processor` | `Errors` Sum, 5 min, `> 0`, eval 1 |
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| `<fn>-throttles` | `po-email-processor`, `po-ingest-site-extractor`, `po-web-ui`, `workorder-email-processor` | `Throttles` Sum, 5 min, `> 0`, eval 1 |
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| `<fn>-duration` | `po-email-processor`, `po-ingest-site-extractor`, `po-web-ui` (p99); `workorder-email-processor` (p95) | `Duration` percentile, 5 min, `>= 45000` ms (75% of the 60s timeout), eval 3 / datapoints 2 |
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The `<fn>-duration` and `<fn>-throttles` alarms for `po-email-processor` and `workorder-email-processor` supersede the orphaned, CLI-created `Lambda-Duration-*` / `Lambda-Throttles-*` alarms (deleted post-deploy).
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**DLQ alarms** (`AWS/SQS`): `po-email-processor-dlq-messages` and `workorder-email-processor-dlq-messages` fire when any message is visible on an email-processor DLQ (`ApproximateNumberOfMessagesVisible` Maximum, 5 min, `> 0`, eval 1) — a message there means an email was dropped after Lambda exhausted its async retries.
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**Parse-outcome metric + fallback-rate alarm (workorder-ingest):** the WO processor writes one CloudWatch **EMF** line per email to namespace `Seahaven/WorkorderIngest`, metric `ParseOutcome` (Unit Count, value 1), dimensioned by `ParseMethod` (`template` | `ai_fallback`) and `TemplateId` (`update_plaintext` | `assign_html` | `unknown`). Non-dimension EMF properties `ReasonCode` and `work_order_id` are queryable in Logs Insights but not promoted to metrics (kept low-cardinality). EMF is used instead of `PutMetricData` so there is no extra sync call / latency / IAM grant on the async hot path (the role already has `logs:PutLogEvents`). The alarm `workorder-email-processor-template-fallback-rate` fires when the AI-fallback share of parses exceeds **15%** sustained (a `MathExpression` with `FILL(...,0)` and a ≥10-sample volume floor over 15-minute periods, eval 3 / datapoints 2) — catching Hexagon template-drift coverage collapse while the volume floor + `FILL` prevent low-volume false pages / `INSUFFICIENT_DATA`. ALARM-only `SnsAction` to `site-alerts`, no OK action, `NOT_BREACHING`. The 15-minute period is a deliberate deviation from the 5-minute house style to accumulate a stable denominator at the low ~760/day volume.
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**DynamoDB alarms** (`AWS/DynamoDB`): each owned table gets `<table>-throttles` (`ThrottledRequests`) and `<table>-system-errors` (`SystemErrors`). These metrics emit only at the `TableName` + `Operation` dimension set, so each alarm is a `Sum` math expression across the operations the table uses (Get/BatchGet/Query/Scan/Put/Update/Delete/BatchWrite). Tables covered: `purchase-orders`, `verified-sites`, `pending-site-review` (po-ingest); `WorkOrders`, `WorkOrderComments` (workorder-ingest).
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## Shared Resources
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### `purchase-orders` table (owned here)
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The `purchase-orders` DynamoDB table is **owned by this repo's `po-ingest` stack** (defined in `cdk/po_stack.py` with `RemovalPolicy.RETAIN`, `StreamViewType.NEW_IMAGE`, and SSE-KMS encryption with the shared customer-managed CMK `alias/seahaven-dynamodb`, INFRA-95 / M-3). The `po-email-processor` Lambda is the authoritative writer — it performs the conditional inserts, revision overwrites, and cancellation updates described above.
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**Consumers (read-only):**
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| Repo | How it reads | Purpose |
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| `seahaven-slack-bot` | `po-sync` (DynamoDB Streams + daily scan) and `wo-po-lookup` | Daily KB sync + Bedrock agent PO lookups |
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The consumer imports the table via `Table.fromTableName(...)` and is granted read-only access (`grantReadData`); it does not own or define it.
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**Schema-coordination rule:** Any change to the `purchase-orders` schema (partition key, item shape, attribute names, streams view type) must be coordinated with `seahaven-slack-bot`. The owner here ships the change; the consumer must be updated in lockstep so its readers do not break. Treat schema changes as a cross-repo migration, not a local edit.
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**Known exception (INFRA-51):** `amazon-po-parser` currently writes directly to `purchase-orders` outside this stack (backfill/enrichment scripts). This second writer is being folded into the `po-ingest` pipeline so this stack is the sole writer; until INFRA-51 closes, coordinate any schema change with `amazon-po-parser` as well.
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### `WorkOrders` and `WorkOrderComments` tables (owned here)
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Both tables are **owned by this repo's `WorkorderIngestStack`** (`cdk/wo_stack.py`, `RemovalPolicy.RETAIN`):
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- `WorkOrders` — PK `work_order_id` (S).
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- `WorkOrderComments` — PK `work_order_id` (S), SK `comment_id` (S).
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> **`comment_id` format change (issue #23).** The `WorkOrderComments` range key is now
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> `work_order_id#<comment_time|nocomment>#<sha256(s3_object_key)[:12]>`
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> (e.g. `11144580730#2026-04-27T23:51:48#a1b2c3d4e5f6`, or `…#nocomment#…` when the source
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> email carries no comment time). Previously it was `work_order_id#<timestamp>`, where two
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> emails on the same WO with an identical/absent comment time collided and overwrote each other.
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> The 12-hex suffix is derived from the **S3 object key alone** — deterministic, so a Lambda
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> async **retry** of the same object produces a byte-identical key (idempotent, no duplicate row),
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> while two distinct emails on the same WO get distinct keys. Wall-clock `now()` is kept **out** of
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> the key. Consumers that split on `#` and read index `[0]`/`[1]` are unaffected; anything that
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> treated "everything after the first `#`" as a bare timestamp now also captures the hash segment.
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> **Timestamp format shift.** All stored ISO timestamps (`created_at`, `updated_at`, `ingested_at`
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> on WO; `processed_at`, `cancelled_at` on PO) moved from naive `datetime.utcnow().isoformat()`
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> to timezone-aware `datetime.now(timezone.utc).isoformat()`, so they now carry a `+00:00` suffix
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> (e.g. `2026-07-15T12:00:00+00:00`). Downstream parsers that assumed a naive/no-offset string
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> must accept the offset.
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Both currently use default DynamoDB encryption — they are **not** yet on the shared customer-managed CMK (`alias/seahaven-dynamodb`, INFRA-95 / M-3); that migration is tracked in INFRA-6. The `workorder-email-processor` role already holds a pre-emptive encrypt/decrypt grant on the CMK so the migration won't break it.
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**Consumer (read-only) — data contract:** `seahaven-slack-bot` imports both tables via `Table.fromTableName(...)` (`grantReadData`) and reads them from two Lambdas: `workorder-sync` (daily full-table scan into the Bedrock knowledge base) and `wo-po-lookup` (the Bedrock agent's direct WO lookup action group). The bot depends on the PK/SK schema above and these attributes: on `WorkOrders` — `description`, `wo_status`, `customer`, `site_code`, `building`, `address`, `severity`, `priority`, `assigned_to`, `date_reported`, `scheduled_start`, `due_date`, `updated_at`; on `WorkOrderComments` — `created_at` (used to sort comments), `commenter`, `text`. Any change to table name, key schema, these attribute names, or the encryption configuration (e.g. the INFRA-6 CMK migration) must be coordinated with `seahaven-slack-bot` before it ships, or the Bedrock agent breaks at runtime (not at deploy — the tables are imported by name, so there is no compile-time link).
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### `verified-sites` table (owned here)
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Owned by this repo's `po-ingest` stack (`cdk/po_stack.py`). PK `siteCode` (S); default DynamoDB encryption (NOT the shared CMK).
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**Consumer (read-only) — data contract:** `seahaven-slack-bot`'s `wo-po-lookup` Lambda imports this table via `Table.fromTableName(...)` for the Bedrock agent's `lookup_site` action. It does point lookups by `siteCode` and reads `address`, `fullAddress`, `city`, `state`, `zip`, `latitude`, `longitude`, `notes`. Coordinate any change to the table name, key schema, or these attribute names with `seahaven-slack-bot`.
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> **GSI drift (INFRA-138):** the `by-state` GSI was removed here on 2026-06-03 (audit M-20, "0 reads in 30d"), but `seahaven-slack-bot` still queries `IndexName: 'by-state'` for its state-listing path, so that path fails at runtime today. Restoring the GSI or removing the consumer's state path needs to be reconciled cross-repo. This is the kind of silent owner-side lifecycle change this data-contract note exists to prevent.
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## Documentation
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The canonical map of Sea Haven's AWS infrastructure lives in Confluence. This project's `po-ingest` and `WorkorderIngestStack` stacks are represented there as Mermaid subgraphs.
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- **[AWS Architecture Map](https://seahaven.atlassian.net/wiki/spaces/IT/pages/1540098)** (Confluence, IT space, page 1540098)
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## CI/CD
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GitHub Actions with reusable workflows from `Sea-Haven-Industries/.github` (all pinned to a commit SHA of `main`):
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- **CI** (`ci.yaml`, PR to `main`): linting + `cdk synth` via `ci-python-sam.yaml`
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- **CD** (`deploy.yaml`, push to `main`): CDK deploy via `cd-cdk.yaml` (OIDC auth)
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- Plus dependency review and PR labeler workflows on every PR
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Branch protection on `main` — all changes through PR.
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## Setup
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1. Bootstrap CDK: `cdk bootstrap aws://{AccountId}/us-east-1`
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2. Ensure the Bedrock inference profile `us.anthropic.claude-haiku-4-5-20251001-v1:0` is enabled in `us-east-1` (it is; the CDK grants cover cross-region routing to `us-east-2`/`us-west-2`). No API key or secret to set — the processors authenticate to Bedrock via their IAM roles.
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3. Deploy both stacks:
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```bash
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cd cdk
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pip install -r requirements.txt
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cdk deploy --all
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```
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4. **Post-deploy cleanup (one-time):** the retired `RETAIN`-policy secrets `po-ingest/anthropic-api-key` and `workorder-ingest/anthropic-api-key` are orphaned by this deploy, not deleted. Remove them and revoke the keys at the provider:
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```bash
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aws secretsmanager delete-secret --secret-id po-ingest/anthropic-api-key --force-delete-without-recovery
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aws secretsmanager delete-secret --secret-id workorder-ingest/anthropic-api-key --force-delete-without-recovery
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```
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5. Dashboards: `po-web-ui` and `workorder-web-ui` have no public endpoint (the Function URLs were removed 2026-06-08, INFRA-74). Invoke them manually and render the returned HTML, e.g. `aws lambda invoke --function-name po-web-ui /tmp/out.json`.
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## Tests
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Offline unit tests (no AWS, no network) run via pytest from the repo root:
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```bash
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pip install pytest
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pytest
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```
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Coverage:
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- `tests/` — shared handler tests (`parse_raw_email`, `pad_zip`).
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- `lambdas/wo/email_processor/tests/` — the deterministic WO parser suite: golden-file tests over 55 real scrubbed `.eml` fixtures (`test_parser.py`), fail-closed validation-gate rules and adversarial/injection cases (`test_validation_gate.py`), the issue #23 `comment_id` idempotency invariants (`test_comment_id.py`), and the Bedrock-fallback dispatch/EMF-metric behavior with a mocked `invoke_model` (`test_bedrock_fallback.py`). Golden JSON lives under `tests/fixtures/expected/`.
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Both roots are discovered by `pytest.ini` (`testpaths`).
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## Scripts
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**Reprocess PO emails** (re-run parser against all emails still in S3):
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```bash
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python scripts/reprocess.py # dry-run
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python scripts/reprocess.py --execute # invoke po-email-processor for each
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```
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**Backfill verified sites** (one-time scan of historical POs):
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```bash
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python scripts/backfill_sites.py
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```
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## Directory Structure
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```
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cdk/
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app.py # Two stacks: po-ingest + WorkorderIngestStack
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po_stack.py # Purchase order pipeline resources
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wo_stack.py # Work order pipeline resources
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lambdas/
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po/ # PO pipeline Lambdas
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email_processor/ # handler.py (Bedrock, fully AI)
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site_extractor/
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web_ui/
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wo/ # WO pipeline Lambdas
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email_processor/
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handler.py # template-first + Bedrock fallback, EMF metric, #23 comment_id
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template_parser.py # pure deterministic parser + fail-closed validation gate
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tests/ # golden-file + validation-gate + comment_id + fallback tests
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web_ui/
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scripts/
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reprocess.py
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backfill_sites.py
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tests/ # shared handler tests (discovered with the WO suite)
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test_local.py # Parse sample emails through Bedrock locally (no AWS mutation)
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```
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