Merge pull request #2 from Sea-Haven-Industries/feature/verified-sites-pipeline

Add verified-sites pipeline with address fallback
This commit is contained in:
Adam Moussa 2026-04-30 15:06:04 -04:00 • committed by GitHub
commit 2b8e121413
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
5 changed files with 500 additions and 8 deletions

View file

@ -10,15 +10,36 @@ Coupa purchase-order email ingestion pipeline. SES receives Amazon PO emails, Cl
4. The Lambda parses the email, sends it to Claude Haiku 4.5 for structured JSON extraction, and writes to DynamoDB.
- `email_type: new_po` — conditional `PutItem` on `purchase-orders` (idempotent on `po_number`).
- `email_type: cancellation` — `UpdateItem` marking the existing row `Cancelled`.
5. LedgerFlow consumes the table via DynamoDB Streams → `po-sync`. This repo only writes.
5. DynamoDB Streams (NEW_AND_OLD_IMAGES) on `purchase-orders` feeds two downstream consumers:
- **LedgerFlow** (`seahaven-slack-bot/po-sync`) — daily KB sync.
- **Verified-sites pipeline** (`po-ingest-site-extractor`) — real-time site address extraction (see below).
A separate `po-web-ui` Lambda (Function URL, unauthenticated) renders a simple HTML dashboard scanning the table.
### Verified-sites pipeline
The `po-ingest-site-extractor` Lambda is triggered by the DynamoDB Stream on every PO INSERT/MODIFY. It:
1. Extracts an Amazon facility site code from `ship_to.name` using a regex cascade (parentheses, `LLC - CODE`, `Station CODE`, `DS - CODE`) with a fallback to the first `line_items` description.
2. Parses `ship_to.address` into structured fields (street, city, state, zip).
3. Upserts to the `verified-sites` DynamoDB table — atomically increments `poCount` and appends the PO number to `sourcePOs`.
POs with no extractable site code fall through to an address reverse-lookup against the verified-sites cache (normalized street + zip). If still unresolved, the PO is written to the `pending-site-review` table for manual verification against Payee Central.
Backfill stats (initial run): 14,825 POs scanned → 9,900 with extractable site codes → 1,100 unique sites.
## Architecture
- **IaC:** AWS CDK (Python), stack name `PoIngestStack`, region `us-east-1`.
- **Lambdas:** `po-email-processor` (S3-triggered) and `po-web-ui` (Function URL). Python 3.12, 256 MB, 60s timeout.
- **Storage:** S3 `po-ingest-emails-{AccountId}` with 90-day lifecycle expiry; DynamoDB `purchase-orders` (shared, not owned by this stack).
- **Lambdas** (all Python 3.12, arm64, 60-day log retention):
- `po-email-processor` — S3-triggered, parses PO emails via Claude Haiku.
- `po-web-ui` — Function URL, HTML dashboard.
- `po-ingest-site-extractor` — DynamoDB Streams-triggered, extracts site addresses.
- **Storage:**
- S3 `po-ingest-emails-{AccountId}` — 90-day lifecycle expiry.
- DynamoDB `purchase-orders` — owned by this stack, Streams enabled (NEW_AND_OLD_IMAGES).
- DynamoDB `verified-sites` — PK `siteCode`, GSI `by-state` on `state`.
- DynamoDB `pending-site-review` — PK `po_number`. POs with no extractable site code and no address match, awaiting manual Payee Central verification.
- **Secrets:** Anthropic API key in Secrets Manager at `po-ingest/anthropic-api-key`.
- **SES:** adds the `PoEmailRule` to the existing `INBOUND_MAIL` receipt rule set (shared with `workorder-ingest`).
@ -53,3 +74,13 @@ python scripts/reprocess.py --execute # invokes po-email-processor for each
```
Inserts are conditional on `po_number`, so re-processing existing POs is a no-op.
## Backfilling verified sites
The stream Lambda handles all future POs automatically. To backfill from historical PO data (one-time):
```bash
python scripts/backfill_sites.py
```
Uses the same extraction logic as the Lambda. Idempotent — safe to re-run.

View file

@ -7,6 +7,8 @@ from aws_cdk import (
Stack,
aws_dynamodb as dynamodb,
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,
@ -31,11 +33,19 @@ class PoIngestStack(Stack):
],
)
# --- Reference existing purchase-orders DynamoDB table ---
# This table is shared with LedgerFlow (DynamoDB Streams → po-sync).
# We write to it; LedgerFlow reads from it.
po_table = dynamodb.Table.from_table_name(
self, "PurchaseOrdersTable", "purchase-orders",
# --- 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_AND_OLD_IMAGES,
)
# --- Secrets Manager for Anthropic API key ---
@ -50,10 +60,12 @@ class PoIngestStack(Stack):
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/email_processor/package"),
timeout=Duration.seconds(60),
memory_size=256,
log_retention=logs.RetentionDays.TWO_MONTHS,
environment={
"PO_TABLE": "purchase-orders",
"ANTHROPIC_API_KEY_SECRET_ARN": anthropic_secret.secret_arn,
@ -94,10 +106,12 @@ class PoIngestStack(Stack):
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/web_ui"),
timeout=Duration.seconds(60),
memory_size=256,
log_retention=logs.RetentionDays.TWO_MONTHS,
environment={
"PO_TABLE": "purchase-orders",
},
@ -111,3 +125,73 @@ class PoIngestStack(Stack):
)
cdk.CfnOutput(self, "WebUIUrl", value=web_url.url, description="PO Dashboard URL")
# --- 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,
)
verified_sites_table.add_global_secondary_index(
index_name="by-state",
partition_key=dynamodb.Attribute(
name="state",
type=dynamodb.AttributeType.STRING,
),
projection_type=dynamodb.ProjectionType.ALL,
)
# --- 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/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,
)
)
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)

View file

@ -52,9 +52,14 @@ Analyze the following email and extract structured data. Return ONLY valid JSON
"supplier": {
"name": "string or null"
},
"site_code": "string or null",
"ship_to": {
"name": "string or null",
"address": "string or null",
"street": "string or null",
"city": "string or null",
"state": "string or null",
"zip": "string or null",
"location_code": "string or null",
"attn": "string or null"
},
@ -80,6 +85,13 @@ Rules:
- Extract the PO number from the email (e.g., "2D-18206023")
- Extract all line items with their descriptions, amounts, and metadata
- Ship-to address should include the full address, location code, and attention line
- Ship-to street, city, state, and zip should be parsed from the address into separate fields
- "site_code" is the Amazon facility code (e.g., "SNY5", "DFW6", "WND1") — a 3-5 character alphanumeric code identifying the delivery site. Look for it in:
- The ship-to name, e.g., "Amazon.com Services LLC - SNY5" or "Amazon.com Services LLC (WFB1)"
- The ATTN line, e.g., "ATTN: Wagon Wheel DS - WTN1"
- Line item descriptions, e.g., "WND1 - 2024 - Plumbing PM"
- Anywhere else in the email where a facility code appears
- If the ship-to name IS the site code (e.g., just "DBU2"), use that
- total_amount should be the numeric total in USD
- If a field is not present in the email, set it to null
- Do NOT invent or infer data that is not explicitly in the email

View file

@ -0,0 +1,289 @@
"""
DynamoDB Streams processor that extracts Amazon site codes and addresses
from purchase order records and upserts them into the verified-sites table.
"""
import logging
import os
import re
from datetime import datetime, timezone
import boto3
from boto3.dynamodb.types import TypeDeserializer
logger = logging.getLogger()
logger.setLevel(logging.INFO)
dynamodb = boto3.client("dynamodb")
deserializer = TypeDeserializer()
VERIFIED_SITES_TABLE = os.environ.get("VERIFIED_SITES_TABLE", "verified-sites")
PENDING_REVIEW_TABLE = os.environ.get("PENDING_REVIEW_TABLE", "pending-site-review")
SITE_CODE_PATTERN = re.compile(r"[A-Z]{2,4}\d{1,2}")
# Cold-start cache: normalized (street, zip) → siteCode
_address_cache: dict[tuple[str, str], str] = {}
_cache_loaded = False
def deserialize_image(image: dict) -> dict:
return {k: deserializer.deserialize(v) for k, v in image.items()}
def extract_site_code(record: dict) -> str | None:
# Prefer the explicit site_code field (set by updated extraction prompt)
direct = (record.get("site_code") or "").strip().upper()
if direct and SITE_CODE_PATTERN.match(direct):
return direct
ship_to = record.get("ship_to") or {}
ship_to_name = ship_to.get("name", "")
if ship_to_name:
m = re.search(r"\(([A-Z0-9]{3,5})\)", ship_to_name)
if m and SITE_CODE_PATTERN.match(m.group(1)):
return m.group(1)
m = re.search(r"(?:LLC|Inc)\s*-\s*([A-Z0-9]{3,5})\b", ship_to_name)
if m and SITE_CODE_PATTERN.match(m.group(1)):
return m.group(1)
m = re.search(
r"(?:Station|DS)\s*[-–]?\s*([A-Z0-9]{3,5})\b", ship_to_name
)
if m and SITE_CODE_PATTERN.match(m.group(1)):
return m.group(1)
m = re.match(r"^([A-Z0-9]{3,5})\s*-\s*Amazon", ship_to_name)
if m and SITE_CODE_PATTERN.match(m.group(1)):
return m.group(1)
for item in record.get("line_items") or []:
desc = item.get("description", "")
m = re.match(r"^([A-Z]{1,4}[0-9]{1,2}|[A-Z]{4,5})\b", desc)
if m and SITE_CODE_PATTERN.match(m.group(1)):
return m.group(1)
return None
def parse_address(record: dict) -> dict:
result = {
"address": None,
"city": None,
"state": None,
"zip": None,
"fullAddress": None,
}
ship_to = record.get("ship_to") or {}
# Prefer structured fields if the extraction prompt provided them
if ship_to.get("street") and ship_to.get("state"):
result["address"] = ship_to["street"]
result["city"] = ship_to.get("city")
result["state"] = ship_to["state"]
result["zip"] = ship_to.get("zip")
parts = [p for p in [result["address"], result["city"], result["state"], result["zip"]] if p]
result["fullAddress"] = ", ".join(parts)
return result
address_text = ship_to.get("address", "")
if not address_text:
return result
clean = re.sub(r",?\s*United States\s*$", "", address_text.strip())
if not clean:
return result
# Match "city, ST ZIP" at the end of the string
m = re.search(r",\s*([^,]+?),\s+([A-Z]{2})\s+(\d{5}(?:-\d{4})?)\s*$", clean)
if m:
result["address"] = clean[: m.start()].strip()
result["city"] = m.group(1).strip()
result["state"] = m.group(2)
result["zip"] = m.group(3)
result["fullAddress"] = f"{result['address']}, {result['city']}, {result['state']} {result['zip']}"
return result
# Fallback: try newline-separated format
lines = [l.strip() for l in clean.split("\n") if l.strip()]
city_re = re.compile(r"^(.+?),\s+([A-Z]{2})\s+(\d{5}(?:-\d{4})?)")
for i, line in enumerate(lines):
m = city_re.match(line)
if m:
result["address"] = ", ".join(lines[:i]) if i > 0 else None
result["city"] = m.group(1)
result["state"] = m.group(2)
result["zip"] = m.group(3)
street = result["address"] or result["city"]
result["fullAddress"] = f"{street}, {result['city']}, {result['state']} {result['zip']}"
return result
result["address"] = clean
return result
def upsert_site(
site_code: str,
address: dict,
po_number: str,
location_code: str | None,
):
now = datetime.now(timezone.utc).isoformat()
expr_names = {}
expr_values = {
":now": {"S": now},
":one": {"N": "1"},
":po_set": {"SS": [po_number]},
}
set_parts = ["lastSeenAt = :now"]
if address.get("address"):
set_parts.append("#addr = :addr")
expr_names["#addr"] = "address"
expr_values[":addr"] = {"S": address["address"]}
if address.get("city"):
set_parts.append("city = :city")
expr_values[":city"] = {"S": address["city"]}
if address.get("state"):
set_parts.append("#st = :state_val")
expr_names["#st"] = "state"
expr_values[":state_val"] = {"S": address["state"]}
if address.get("zip"):
set_parts.append("zip = :zip")
expr_values[":zip"] = {"S": address["zip"]}
if address.get("fullAddress"):
set_parts.append("fullAddress = :full")
expr_values[":full"] = {"S": address["fullAddress"]}
if location_code:
set_parts.append("locationCode = :loc")
expr_values[":loc"] = {"S": location_code}
update_expr = f"SET {', '.join(set_parts)} ADD poCount :one, sourcePOs :po_set"
kwargs = {
"TableName": VERIFIED_SITES_TABLE,
"Key": {"siteCode": {"S": site_code}},
"UpdateExpression": update_expr,
"ExpressionAttributeValues": expr_values,
}
if expr_names:
kwargs["ExpressionAttributeNames"] = expr_names
dynamodb.update_item(**kwargs)
def _normalize_street(street: str) -> str:
s = street.strip().upper()
s = re.sub(r"[.,#]", "", s)
s = re.sub(r"\s+", " ", s)
return s
def load_address_cache():
global _address_cache, _cache_loaded
if _cache_loaded:
return
paginator = dynamodb.get_paginator("scan")
for page in paginator.paginate(
TableName=VERIFIED_SITES_TABLE,
ProjectionExpression="siteCode, #addr, zip",
ExpressionAttributeNames={"#addr": "address"},
):
for item in page.get("Items", []):
site_code = item.get("siteCode", {}).get("S")
street = item.get("address", {}).get("S")
zip_code = item.get("zip", {}).get("S")
if site_code and street and zip_code:
key = (_normalize_street(street), zip_code)
_address_cache[key] = site_code
_cache_loaded = True
logger.info("Address cache loaded: %d entries", len(_address_cache))
def lookup_by_address(address: dict) -> str | None:
street = address.get("address")
zip_code = address.get("zip")
if not street or not zip_code:
return None
return _address_cache.get((_normalize_street(street), zip_code))
def write_pending_review(po_number: str, address: dict, ship_to_name: str | None):
now = datetime.now(timezone.utc).isoformat()
item = {
"po_number": {"S": po_number},
"createdAt": {"S": now},
"status": {"S": "pending"},
}
if ship_to_name:
item["shipToName"] = {"S": ship_to_name}
if address.get("fullAddress"):
item["fullAddress"] = {"S": address["fullAddress"]}
if address.get("address"):
item["address"] = {"S": address["address"]}
if address.get("city"):
item["city"] = {"S": address["city"]}
if address.get("state"):
item["state"] = {"S": address["state"]}
if address.get("zip"):
item["zip"] = {"S": address["zip"]}
dynamodb.put_item(TableName=PENDING_REVIEW_TABLE, Item=item)
def handler(event, context):
load_address_cache()
processed = 0
extracted = 0
matched_by_address = 0
pending = 0
for record in event.get("Records", []):
if record["eventName"] not in ("INSERT", "MODIFY"):
continue
new_image = record.get("dynamodb", {}).get("NewImage")
if not new_image:
continue
processed += 1
po = deserialize_image(new_image)
po_number = po.get("po_number", "unknown")
address = parse_address(po)
location_code = (po.get("ship_to") or {}).get("location_code")
site_code = extract_site_code(po)
if not site_code:
site_code = lookup_by_address(address)
if site_code:
matched_by_address += 1
logger.info(
"Matched PO %s to site %s via address lookup", po_number, site_code
)
if site_code:
upsert_site(site_code, address, po_number, location_code)
extracted += 1
logger.info("Upserted site %s from PO %s", site_code, po_number)
else:
ship_to_name = (po.get("ship_to") or {}).get("name")
write_pending_review(po_number, address, ship_to_name)
pending += 1
logger.info("PO %s added to pending review (no site code or address match)", po_number)
logger.info(
"Batch complete: %d processed, %d extracted (%d via address), %d pending review",
processed,
extracted,
matched_by_address,
pending,
)

76
scripts/backfill_sites.py Normal file
View file

@ -0,0 +1,76 @@
"""
One-time backfill script: scans purchase-orders and populates verified-sites.
Usage:
python scripts/backfill_sites.py
"""
import sys
import os
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "lambdas", "site_extractor"))
import boto3
from handler import extract_site_code, parse_address, upsert_site
PO_TABLE = os.environ.get("PO_TABLE", "purchase-orders")
REGION = os.environ.get("AWS_DEFAULT_REGION", "us-east-1")
dynamodb_resource = boto3.resource("dynamodb", region_name=REGION)
def scan_all_pos():
table = dynamodb_resource.Table(PO_TABLE)
records = []
last_key = None
while True:
kwargs = {}
if last_key:
kwargs["ExclusiveStartKey"] = last_key
response = table.scan(**kwargs)
records.extend(response.get("Items", []))
last_key = response.get("LastEvaluatedKey")
if not last_key:
break
print(f" Scanned {len(records)} POs so far...")
return records
def main():
print(f"Scanning {PO_TABLE} table...")
pos = scan_all_pos()
print(f"Found {len(pos)} purchase orders")
extracted = 0
skipped = 0
sites_seen = set()
for po in pos:
po_number = po.get("po_number", "unknown")
site_code = extract_site_code(po)
if not site_code:
skipped += 1
continue
address = parse_address(po)
location_code = (po.get("ship_to") or {}).get("location_code")
upsert_site(site_code, address, po_number, location_code)
extracted += 1
sites_seen.add(site_code)
if extracted % 100 == 0:
print(f" Processed {extracted} POs with site codes...")
print(f"\nBackfill complete:")
print(f" Total POs scanned: {len(pos)}")
print(f" POs with site code: {extracted}")
print(f" POs without site code: {skipped}")
print(f" Unique sites upserted: {len(sites_seen)}")
if __name__ == "__main__":
main()