apm-wo-analysis/cdk/stacks/pipeline_stack.py
Adam Moussa eb724580e0 Add two-axis classifier Lambda and CDK wiring (Phase 2)
Implement the core classification engine and wire it into the pipeline stack.

classify.py: two-axis classifier — HTML-strip, comment-intent regex buckets
(escalations → status inquiry, most-specific first), Hold Reason / WO Status
structured state, comment-vs-state mismatch detector, and a Claude Haiku
fallback (Secrets Manager key) reserved for ambiguous free-text. Exports
ESCALATION_CATEGORIES / ACTION_NEEDED_CATEGORIES.

handler.py: S3-triggered handler — parse xlsx/csv, classify each non-blank
row, write a per-WO Parquet snapshot to analytics/dt=YYYY-MM-DD/ (registers
the Glue partition via awswrangler) and a summary.json for slack-post (Phase 4).

pipeline_stack.py: Glue database, ARM64 Python 3.12 classifier Lambda
(Docker-bundled deps), S3 raw/ notification (.xlsx/.csv), and least-privilege
IAM (read raw/, read-write analytics/, scoped Glue catalog, read Anthropic key).

Smoke-tested against the real export: 347 rows, "Other" at 5.2% (target ~9%),
18 mismatches flagged. 7/7 unit + smoke tests pass; cdk synth green.
2026-05-28 17:09:52 -04:00

170 lines
6.3 KiB
Python

"""Pipeline stack: S3, classifier + slack-post Lambdas, Glue, Athena, IAM.
Phase 1 — exports bucket + drop-folder uploader IAM user.
Phase 2 — Glue database + S3-triggered classifier Lambda (this file).
Phase 3 — Athena workgroup + partition-projection table (TODO).
Phase 4 — slack-post Lambda + scoped IAM (TODO).
Lambdas: Python 3.12, ARM64, explicit LogGroup with 60-day retention.
No DynamoDB — this is an S3 + Athena analytics workload (see CLAUDE.md).
"""
import os
from aws_cdk import (
BundlingOptions,
Duration,
RemovalPolicy,
Stack,
)
from aws_cdk import (
aws_glue as glue,
)
from aws_cdk import (
aws_iam as iam,
)
from aws_cdk import (
aws_lambda as lambda_,
)
from aws_cdk import (
aws_logs as logs,
)
from aws_cdk import (
aws_s3 as s3,
)
from aws_cdk import (
aws_s3_notifications as s3n,
)
from aws_cdk import (
aws_secretsmanager as secretsmanager,
)
from constructs import Construct
GLUE_DATABASE = "apm_wo_analysis"
GLUE_TABLE = "apm_wo_snapshots"
ANTHROPIC_SECRET = "apm-wo-analysis/anthropic-api-key"
LAMBDAS_DIR = os.path.join(os.path.dirname(__file__), "..", "..", "lambdas")
class PipelineStack(Stack):
def __init__(self, scope: Construct, construct_id: str, **kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
# Phase 1 — single exports bucket.
# Prefixes: raw/ (incoming), analytics/ (per-WO snapshots), athena-results/.
self.exports_bucket = s3.Bucket(
self,
"Exports",
bucket_name=f"apm-wo-analysis-exports-{self.account}",
encryption=s3.BucketEncryption.S3_MANAGED,
block_public_access=s3.BlockPublicAccess.BLOCK_ALL,
enforce_ssl=True,
removal_policy=RemovalPolicy.RETAIN,
lifecycle_rules=[
s3.LifecycleRule(
id="expire-raw-exports",
prefix="raw/",
expiration=Duration.days(90),
)
],
)
# Phase 1 — least-privilege identity for the local drop-folder uploader.
# Scoped to s3:PutObject on raw/* only. The access key is created
# out-of-band (aws iam create-access-key) and stored in the local
# ~/.aws/credentials profile `apm-wo-drop` — never in CloudFormation.
self.drop_uploader = iam.User(
self, "DropUploader", user_name="apm-wo-drop-uploader"
)
self.drop_uploader.add_to_policy(
iam.PolicyStatement(
sid="PutRawExportsOnly",
actions=["s3:PutObject"],
resources=[self.exports_bucket.arn_for_objects("raw/*")],
)
)
# Phase 2/3 — Glue database for the analytics dataset. The classifier
# registers the apm_wo_snapshots table/partitions into it via awswrangler;
# Phase 3 swaps in the partition-projection table definition + Athena.
glue.CfnDatabase(
self,
"AnalyticsDb",
catalog_id=self.account,
database_input=glue.CfnDatabase.DatabaseInputProperty(name=GLUE_DATABASE),
)
# Phase 2 — classifier Lambda, S3-triggered on the raw/ prefix.
# Deps (awswrangler/pandas/pyarrow/openpyxl) are Docker-bundled for ARM64
# from lambdas/classifier/requirements.txt; boto3 ships in the runtime.
classifier_logs = logs.LogGroup(
self,
"ClassifierLogs",
log_group_name="/aws/lambda/apm-wo-analysis-classifier",
retention=logs.RetentionDays.TWO_MONTHS,
removal_policy=RemovalPolicy.DESTROY,
)
self.classifier_fn = lambda_.Function(
self,
"Classifier",
function_name="apm-wo-analysis-classifier",
runtime=lambda_.Runtime.PYTHON_3_12,
architecture=lambda_.Architecture.ARM_64,
handler="handler.handler",
memory_size=512,
timeout=Duration.seconds(120),
log_group=classifier_logs,
environment={"APM_HAIKU_FALLBACK": "on"},
code=lambda_.Code.from_asset(
os.path.join(LAMBDAS_DIR, "classifier"),
bundling=BundlingOptions(
image=lambda_.Runtime.PYTHON_3_12.bundling_image,
platform="linux/arm64",
command=[
"bash",
"-c",
"pip install -r requirements.txt -t /asset-output "
"&& cp -au . /asset-output",
],
),
),
)
# S3 trigger: any .xlsx/.csv landing under raw/ invokes the classifier.
for suffix in (".xlsx", ".csv"):
self.exports_bucket.add_event_notification(
s3.EventType.OBJECT_CREATED,
s3n.LambdaDestination(self.classifier_fn),
s3.NotificationKeyFilter(prefix="raw/", suffix=suffix),
)
# IAM — least privilege: read raw/, read+write analytics/, catalog the
# snapshots table, and read the Anthropic key for the Haiku fallback.
self.exports_bucket.grant_read(self.classifier_fn, "raw/*")
self.exports_bucket.grant_read_write(self.classifier_fn, "analytics/*")
self.classifier_fn.add_to_role_policy(
iam.PolicyStatement(
sid="GlueCatalogSnapshots",
actions=[
"glue:GetDatabase",
"glue:GetTable",
"glue:CreateTable",
"glue:UpdateTable",
"glue:GetPartition",
"glue:GetPartitions",
"glue:CreatePartition",
"glue:BatchCreatePartition",
"glue:UpdatePartition",
],
resources=[
f"arn:aws:glue:{self.region}:{self.account}:catalog",
f"arn:aws:glue:{self.region}:{self.account}:database/{GLUE_DATABASE}",
f"arn:aws:glue:{self.region}:{self.account}:table/{GLUE_DATABASE}/*",
],
)
)
secretsmanager.Secret.from_secret_name_v2(
self, "AnthropicKey", ANTHROPIC_SECRET
).grant_read(self.classifier_fn)
# Phase 4 — slack-post Lambda + scoped IAM; classifier async-invokes it. TODO