bootstrap SAM stack — S3 bucket + stub Lambda

.gitignore

@@ -3,3 +3,5 @@ __pycache__/
 *.pyc
 .env
 def
+.aws-sam/
+data/

Makefile

@@ -1,15 +1,12 @@
 .PHONY: up down seed invoke install logs console clean graphs docs kind tilt-up tilt-down
 
 PY ?= .venv/bin/python
-PIP ?= .venv/bin/pip
 COMPOSE := docker compose -f ctrl/docker-compose.yml
 DOT_SRC := $(wildcard docs/graphs/*.dot)
 SVG_OUT := $(DOT_SRC:.dot=.svg)
 
 install:
-	python3 -m venv .venv
+	uv sync
-	$(PIP) install -U pip
-	$(PIP) install -r requirements.txt
 
 up:
 	$(COMPOSE) up -d

ctrl/seed.sh

@@ -1,8 +1,8 @@
 #!/usr/bin/env bash
-# Uploads the host's /mnt/documents tree into the in-cluster MinIO. Lives
+# Uploads the host's /mnt/documents tree into the in-cluster MinIO. The seed
-# inside the sign_pdfs function folder because it's specific to *this*
+# lives under sign_pdfs_v1/ (the original implementation kept around for the
-# function's data shape (bucket "my-company-reports-bucket", prefix "2026/04/").
+# before/after demo) but the data it produces is shared — both sign_pdfs/ and
-# Other functions will have their own seed scripts in their own folders.
+# sign_pdfs_v1/ read from the same bucket and prefix in the local lab.
 set -euo pipefail
 kubectl --context kind-eth -n eth exec -i deploy/lambda -- \
-  python functions/sign_pdfs/seed.py /mnt/documents
+  python functions/sign_pdfs_v1/seed.py /mnt/documents

docs/index.html

@@ -544,7 +544,7 @@
   </details>
 
   <details>
-    <summary>EMF metrics <span style="color:#4a5568">(CloudWatch embedded-metric-format on stdout — populates when the function emits, e.g. <code>sign_pdfs_optimized</code>)</span></summary>
+    <summary>EMF metrics <span style="color:#4a5568">(CloudWatch embedded-metric-format on stdout — populates when the function emits, e.g. <code>sign_pdfs</code>)</span></summary>
     <pre id="tester-emf"><span class="empty">No EMF metrics detected.</span></pre>
   </details>
 

docs/lambdas-md/lambda-20-sign-pdfs.md

@@ -1,8 +1,8 @@
-# sign_pdfs_optimized — Walkthrough
+# sign_pdfs — Walkthrough
 
-> Production-refined fork of `sign_pdfs`. Applies 8 improvements at once; meant to be compared side-by-side with the original in the local tester.
+> The production handler. 8 refinements over the historical baseline (`functions/sign_pdfs_v1/`), all applied together so the tester can flip between the two and show the difference live.
 
-The original `sign_pdfs` is the "before" snapshot — it is left untouched. This file (`sign_pdfs_optimized/handler.py`) is the "after": same contract, same output shape, all the rough edges from the original fixed.
+`sign_pdfs_v1/` is the historical baseline — kept untouched in the repo so the local tester dropdown can compare "before" and "after" side-by-side. This file (`functions/sign_pdfs/handler.py`) is what gets deployed to AWS (function name `eth-demo-sign-pdfs`): same contract, same output shape, all the rough edges from v1 fixed.
 
 ---
 
@@ -56,7 +56,7 @@ def _emit_emf(metrics: dict, **dims):
         "_aws": {
             "Timestamp": int(time.time() * 1000),
             "CloudWatchMetrics": [{
-                "Namespace": "eth/sign_pdfs_optimized",
+                "Namespace": "eth/sign_pdfs",
                 "Dimensions": [list(dims.keys())],
                 "Metrics": [
                     {"Name": k, "Unit": "Bytes" if k.endswith("Bytes") else "Count"}
@@ -195,7 +195,7 @@ _emit_emf({
     "PDFsProcessed": count, "S3ListPages": pages,
     "PresignCount": count, "ManifestBytes": manifest_bytes,
     "ResponseBytes": response_bytes,
-}, Function="sign_pdfs_optimized")
+}, Function="sign_pdfs")
 
 return result
 ```
@@ -238,11 +238,17 @@ def handler(event, context):
 
 ---
 
-## Further improvements (not yet applied)
+## Further improvements
 
-These are the next natural steps if this function were going to production. They were left out intentionally — each adds infrastructure or AWS-side configuration that goes beyond the handler itself.
+The next natural production steps. Status markers below reflect what is already declared in this repo's `template.yaml` vs what is left for later.
 
-### Idempotency
+| Status | Meaning |
+|---|---|
+| `[DONE]` | Already applied in `template.yaml` |
+| `[PLANNED]` | Not yet applied but on the roadmap for this stack |
+| `[NOT IN SCOPE]` | Doesn't apply to this invocation model |
+
+### Idempotency — `[PLANNED]`
 
 The function is not idempotent in the strict sense. Each invocation with the same `(bucket, prefix)` event produces a new manifest at a new UUID key. If Lambda retries the invocation (async invocations retry up to 2 times by default, and S3/SNS/EventBridge are at-least-once), you accumulate duplicate manifests in the `manifests/` prefix.
 
@@ -280,9 +286,9 @@ AWS PowerTools for Lambda has a built-in `@idempotent` decorator that implements
 
 **What it requires:** a DynamoDB table, `dynamodb:GetItem` + `dynamodb:PutItem` IAM permissions on the execution role, and the PowerTools layer (or `aws-lambda-powertools` in requirements).
 
-### Manifest lifecycle rule
+### Manifest lifecycle rule — `[DONE — template.yaml]`
 
-Every invocation writes a new object under `manifests/`. Without cleanup, this prefix grows unbounded. The fix is an S3 lifecycle rule on the bucket — not a handler change:
+Every invocation writes a new object under `manifests/`. Without cleanup, this prefix grows unbounded. The fix is an S3 lifecycle rule on the bucket — not a handler change. The rule is declared on the `ReportsBucket` resource in `template.yaml` (verify in the S3 console under Properties → Lifecycle rules; entry `expire-manifests`):
 
 ```json
 {
@@ -303,7 +309,7 @@ Objects under `manifests/` are deleted by S3 automatically after 1 day. The pres
 
 With both in place: a retry returns the same `manifest_url` pointing to the same (still-live) manifest object; after 24 hours the manifest is gone and the dedup record has expired, so the next invocation starts fresh. The combination is clean.
 
-### ReportBatchItemFailures (SQS only)
+### ReportBatchItemFailures (SQS only) — `[NOT IN SCOPE]`
 
 If this function were triggered by an SQS event source mapping (one message = one `(bucket, prefix)` job), the consumer-level `errors` field isn't enough — Lambda needs to know *which SQS messages* failed so it can re-queue only those. Return a `batchItemFailures` list instead of raising:
 
@@ -323,9 +329,9 @@ Without this, a single failed message causes the entire batch to retry, includin
 
 **What it requires:** `ReportBatchItemFailures` enabled on the ESM configuration (CDK/Terraform) and restructuring the handler to iterate over `event["Records"]`. Not applicable to direct (RequestResponse) invocations like the local tester uses.
 
-### arm64 / Graviton2
+### arm64 / Graviton2 — `[DONE — template.yaml]`
 
-No code change needed. Switch the function's architecture to `arm64` in the deployment config:
+No code change needed. Switch the function's architecture to `arm64` in the deployment config. Declared once under `Globals.Function.Architectures` in `template.yaml` so it applies to every function the stack adds later:
 
 ```yaml
 # SAM

functions/sign_pdfs/handler.py

@@ -1,81 +1,171 @@
+"""sign_pdfs — production handler.
+
+Generates 15-minute presigned S3 URLs for every PDF under a bucket+prefix,
+writes a JSONL manifest to S3, returns the manifest URL.
+
+This is the canonical version. functions/sign_pdfs_v1/ keeps the original
+naive implementation around for the local "before/after" comparison in the
+tester UI; only this one gets deployed to AWS.
+
+Production refinements vs sign_pdfs_v1 (see docs/lambdas-md/lambda-20-sign-pdfs.md):
+
+  1. Config from the event payload (bucket / prefix / expiry / page_size / concurrency),
+     env vars are fallback only. Same function can serve many prefixes.
+  2. Structured JSON logging — request_id, bucket, prefix, count, pages, duration_ms.
+  3. CloudWatch EMF metrics on stdout — PDFsProcessed, S3ListPages, PresignCount,
+     ManifestBytes, ResponseBytes.
+  4. Producer wraps the S3 loop in try/finally so consumers always exit (one sentinel
+     per consumer, not a single _DONE).
+  5. Consumer per-item try/except — failed presigns count into errors, batch survives.
+  6. Manifest streamed to S3 (sync file handle as Body) — no full read into RAM.
+  7. PageSize=1000 (S3 maximum) — fewer round-trips on large prefixes.
+  8. N concurrent consumers via asyncio.gather — presign throughput scales with
+     the concurrency knob in the event.
+"""
 import asyncio
 import json
 import os
+import time
 import uuid
 
 import aioboto3
 import aiofiles
 
-BUCKET = os.environ.get("BUCKET_NAME", "my-company-reports-bucket")
-PREFIX = os.environ.get("PREFIX", "2026/04/")
-EXPIRY = int(os.environ.get("URL_EXPIRY_SECONDS", "900"))
-ENDPOINT = os.environ.get("S3_ENDPOINT_URL") or None
-QUEUE_MAX = int(os.environ.get("QUEUE_MAX", "2000"))
-
 _DONE = object()
 
 
-async def _run():
+def _cfg(event: dict) -> dict:
+    return {
+        "bucket": event.get("bucket") or os.environ.get("BUCKET_NAME", "my-company-reports-bucket"),
+        "prefix": event.get("prefix") or os.environ.get("PREFIX", "2026/04/"),
+        "expiry": int(event.get("expiry_seconds") or os.environ.get("URL_EXPIRY_SECONDS", "900")),
+        "endpoint": os.environ.get("S3_ENDPOINT_URL") or None,
+        "page_size": int(event.get("page_size") or 1000),
+        "concurrency": int(event.get("concurrency") or 4),
+        "queue_max": int(os.environ.get("QUEUE_MAX", "2000")),
+    }
+
+
+def _log(event_type: str, **fields):
+    print(json.dumps({"event": event_type, **fields}))
+
+
+def _emit_emf(metrics: dict, **dims):
+    print(json.dumps({
+        "_aws": {
+            "Timestamp": int(time.time() * 1000),
+            "CloudWatchMetrics": [{
+                "Namespace": "eth/sign_pdfs",
+                "Dimensions": [list(dims.keys())],
+                "Metrics": [
+                    {"Name": k, "Unit": "Bytes" if k.endswith("Bytes") else "Count"}
+                    for k in metrics
+                ],
+            }],
+        },
+        **dims, **metrics,
+    }))
+
+
+async def _run(event: dict, request_id: str):
+    cfg = _cfg(event)
+    _log("start", request_id=request_id, bucket=cfg["bucket"], prefix=cfg["prefix"],
+         page_size=cfg["page_size"], concurrency=cfg["concurrency"])
+    t0 = time.monotonic()
+
+    pages = 0
+    errors = 0
     session = aioboto3.Session()
-    async with session.client("s3", endpoint_url=ENDPOINT) as s3:
+    async with session.client("s3", endpoint_url=cfg["endpoint"]) as s3:
-        queue: asyncio.Queue = asyncio.Queue(maxsize=QUEUE_MAX)
+        queue: asyncio.Queue = asyncio.Queue(maxsize=cfg["queue_max"])
         manifest_path = f"/tmp/{uuid.uuid4()}.jsonl"
 
         async def producer():
-            paginator = s3.get_paginator("list_objects_v2")
+            nonlocal pages
             try:
-                async for page in paginator.paginate(Bucket=BUCKET, Prefix=PREFIX, PaginationConfig={"PageSize": 100}):
+                paginator = s3.get_paginator("list_objects_v2")
+                async for page in paginator.paginate(
+                    Bucket=cfg["bucket"], Prefix=cfg["prefix"],
+                    PaginationConfig={"PageSize": cfg["page_size"]},
+                ):
+                    pages += 1
                     for obj in page.get("Contents", []) or []:
                         key = obj["Key"]
                         if key.lower().endswith(".pdf"):
                             await queue.put(key)
             finally:
+                # one sentinel per consumer so each gather() task exits cleanly
+                for _ in range(cfg["concurrency"]):
                     await queue.put(_DONE)
 
-        async def consumer():
+        write_lock = asyncio.Lock()
-            count = 0
         async with aiofiles.open(manifest_path, "w") as f:
+
+            async def consumer():
+                nonlocal errors
+                local = 0
                 while True:
                     item = await queue.get()
                     if item is _DONE:
-                        break
+                        return local
+                    try:
                         url = await s3.generate_presigned_url(
                             "get_object",
-                        Params={"Bucket": BUCKET, "Key": item},
+                            Params={"Bucket": cfg["bucket"], "Key": item},
-                        ExpiresIn=EXPIRY,
+                            ExpiresIn=cfg["expiry"],
                         )
-                    await f.write(json.dumps({"key": item, "url": url}) + "\n")
+                        line = json.dumps({"key": item, "url": url}) + "\n"
-                    count += 1
+                        async with write_lock:
-            return count
+                            await f.write(line)
+                        local += 1
+                    except Exception as exc:
+                        errors += 1
+                        _log("presign_error", request_id=request_id, key=item, error=str(exc))
 
             prod_task = asyncio.create_task(producer())
-        count = await consumer()
+            counts = await asyncio.gather(*(consumer() for _ in range(cfg["concurrency"])))
             await prod_task
 
+        count = sum(counts)
+        manifest_bytes = os.path.getsize(manifest_path)
         manifest_key = f"manifests/{uuid.uuid4()}.jsonl"
-        async with aiofiles.open(manifest_path, "rb") as f:
+
-            body = await f.read()
+        # Sync file handle as Body — aiobotocore reads in chunks instead of buffering
+        # the whole manifest in memory like `body = await f.read()` would.
+        with open(manifest_path, "rb") as f:
             await s3.put_object(
-            Bucket=BUCKET,
+                Bucket=cfg["bucket"], Key=manifest_key, Body=f,
-            Key=manifest_key,
-            Body=body,
                 ContentType="application/x-ndjson",
             )
+
         manifest_url = await s3.generate_presigned_url(
             "get_object",
-            Params={"Bucket": BUCKET, "Key": manifest_key},
+            Params={"Bucket": cfg["bucket"], "Key": manifest_key},
-            ExpiresIn=EXPIRY,
+            ExpiresIn=cfg["expiry"],
         )
-
         os.unlink(manifest_path)
 
-        return {
+        result = {
             "count": count,
+            "errors": errors,
             "manifest_key": manifest_key,
             "manifest_url": manifest_url,
         }
+        response_bytes = len(json.dumps(result))
+        duration_ms = (time.monotonic() - t0) * 1000
+
+        _log("complete", request_id=request_id, count=count, errors=errors,
+             pages=pages, duration_ms=round(duration_ms, 2))
+        _emit_emf({
+            "PDFsProcessed": count, "S3ListPages": pages,
+            "PresignCount": count, "ManifestBytes": manifest_bytes,
+            "ResponseBytes": response_bytes,
+        }, Function="sign_pdfs")
+
+        return result
 
 
 def handler(event, context):
-    result = asyncio.run(_run())
+    request_id = getattr(context, "aws_request_id", str(uuid.uuid4()))
+    result = asyncio.run(_run(event, request_id))
     return {"statusCode": 200, "body": json.dumps(result)}

functions/sign_pdfs/requirements.txt

@@ -1,6 +1,3 @@
-# Deps for the sign_pdfs lambda. Bundled into its deployment zip when
+# Same deps as sign_pdfs/ — this is the "after" demo fork, same dep footprint.
-# uploading to AWS; locally, the runner pod installs the union of all
+aioboto3>=15.0    # async S3 client
-# per-function requirements (see Dockerfile.lambda).
-aioboto3>=15.0    # async S3 client used in handler.py
 aiofiles>=23.2    # async file I/O for the JSONL manifest in /tmp
-boto3>=1.40       # sync S3 client used by seed.py (data setup utility)

functions/sign_pdfs_optimized/handler.py

@@ -1,165 +0,0 @@
-"""sign_pdfs_optimized — production-refined fork of sign_pdfs.
-
-Same contract as the original (def handler(event, context) → {"statusCode": 200, "body": ...})
-but with 8 production refinements applied side-by-side for the demo:
-
-  1. Config from the event payload (bucket / prefix / expiry / page_size / concurrency),
-     env vars are fallback only. Same function can serve many prefixes.
-  2. Structured JSON logging — request_id, bucket, prefix, count, pages, duration_ms.
-  3. CloudWatch EMF metrics on stdout — PDFsProcessed, S3ListPages, PresignCount,
-     ManifestBytes, ResponseBytes.
-  4. Producer wraps the S3 loop in try/finally so consumers always exit (one sentinel
-     per consumer, not a single _DONE).
-  5. Consumer per-item try/except — failed presigns count into errors, batch survives.
-  6. Manifest streamed to S3 (sync file handle as Body) — no full read into RAM.
-  7. PageSize=1000 (S3 maximum) — fewer round-trips on large prefixes.
-  8. N concurrent consumers via asyncio.gather — presign throughput scales with
-     the concurrency knob in the event.
-"""
-import asyncio
-import json
-import os
-import time
-import uuid
-
-import aioboto3
-import aiofiles
-
-_DONE = object()
-
-
-def _cfg(event: dict) -> dict:
-    return {
-        "bucket": event.get("bucket") or os.environ.get("BUCKET_NAME", "my-company-reports-bucket"),
-        "prefix": event.get("prefix") or os.environ.get("PREFIX", "2026/04/"),
-        "expiry": int(event.get("expiry_seconds") or os.environ.get("URL_EXPIRY_SECONDS", "900")),
-        "endpoint": os.environ.get("S3_ENDPOINT_URL") or None,
-        "page_size": int(event.get("page_size") or 1000),
-        "concurrency": int(event.get("concurrency") or 4),
-        "queue_max": int(os.environ.get("QUEUE_MAX", "2000")),
-    }
-
-
-def _log(event_type: str, **fields):
-    print(json.dumps({"event": event_type, **fields}))
-
-
-def _emit_emf(metrics: dict, **dims):
-    print(json.dumps({
-        "_aws": {
-            "Timestamp": int(time.time() * 1000),
-            "CloudWatchMetrics": [{
-                "Namespace": "eth/sign_pdfs_optimized",
-                "Dimensions": [list(dims.keys())],
-                "Metrics": [
-                    {"Name": k, "Unit": "Bytes" if k.endswith("Bytes") else "Count"}
-                    for k in metrics
-                ],
-            }],
-        },
-        **dims, **metrics,
-    }))
-
-
-async def _run(event: dict, request_id: str):
-    cfg = _cfg(event)
-    _log("start", request_id=request_id, bucket=cfg["bucket"], prefix=cfg["prefix"],
-         page_size=cfg["page_size"], concurrency=cfg["concurrency"])
-    t0 = time.monotonic()
-
-    pages = 0
-    errors = 0
-    session = aioboto3.Session()
-    async with session.client("s3", endpoint_url=cfg["endpoint"]) as s3:
-        queue: asyncio.Queue = asyncio.Queue(maxsize=cfg["queue_max"])
-        manifest_path = f"/tmp/{uuid.uuid4()}.jsonl"
-
-        async def producer():
-            nonlocal pages
-            try:
-                paginator = s3.get_paginator("list_objects_v2")
-                async for page in paginator.paginate(
-                    Bucket=cfg["bucket"], Prefix=cfg["prefix"],
-                    PaginationConfig={"PageSize": cfg["page_size"]},
-                ):
-                    pages += 1
-                    for obj in page.get("Contents", []) or []:
-                        key = obj["Key"]
-                        if key.lower().endswith(".pdf"):
-                            await queue.put(key)
-            finally:
-                # one sentinel per consumer so each gather() task exits cleanly
-                for _ in range(cfg["concurrency"]):
-                    await queue.put(_DONE)
-
-        write_lock = asyncio.Lock()
-        async with aiofiles.open(manifest_path, "w") as f:
-
-            async def consumer():
-                nonlocal errors
-                local = 0
-                while True:
-                    item = await queue.get()
-                    if item is _DONE:
-                        return local
-                    try:
-                        url = await s3.generate_presigned_url(
-                            "get_object",
-                            Params={"Bucket": cfg["bucket"], "Key": item},
-                            ExpiresIn=cfg["expiry"],
-                        )
-                        line = json.dumps({"key": item, "url": url}) + "\n"
-                        async with write_lock:
-                            await f.write(line)
-                        local += 1
-                    except Exception as exc:
-                        errors += 1
-                        _log("presign_error", request_id=request_id, key=item, error=str(exc))
-
-            prod_task = asyncio.create_task(producer())
-            counts = await asyncio.gather(*(consumer() for _ in range(cfg["concurrency"])))
-            await prod_task
-
-        count = sum(counts)
-        manifest_bytes = os.path.getsize(manifest_path)
-        manifest_key = f"manifests/{uuid.uuid4()}.jsonl"
-
-        # Sync file handle as Body — aiobotocore reads in chunks instead of buffering
-        # the whole manifest in memory like `body = await f.read()` would.
-        with open(manifest_path, "rb") as f:
-            await s3.put_object(
-                Bucket=cfg["bucket"], Key=manifest_key, Body=f,
-                ContentType="application/x-ndjson",
-            )
-
-        manifest_url = await s3.generate_presigned_url(
-            "get_object",
-            Params={"Bucket": cfg["bucket"], "Key": manifest_key},
-            ExpiresIn=cfg["expiry"],
-        )
-        os.unlink(manifest_path)
-
-        result = {
-            "count": count,
-            "errors": errors,
-            "manifest_key": manifest_key,
-            "manifest_url": manifest_url,
-        }
-        response_bytes = len(json.dumps(result))
-        duration_ms = (time.monotonic() - t0) * 1000
-
-        _log("complete", request_id=request_id, count=count, errors=errors,
-             pages=pages, duration_ms=round(duration_ms, 2))
-        _emit_emf({
-            "PDFsProcessed": count, "S3ListPages": pages,
-            "PresignCount": count, "ManifestBytes": manifest_bytes,
-            "ResponseBytes": response_bytes,
-        }, Function="sign_pdfs_optimized")
-
-        return result
-
-
-def handler(event, context):
-    request_id = getattr(context, "aws_request_id", str(uuid.uuid4()))
-    result = asyncio.run(_run(event, request_id))
-    return {"statusCode": 200, "body": json.dumps(result)}

functions/sign_pdfs_optimized/requirements.txt

@@ -1,3 +0,0 @@
-# Same deps as sign_pdfs/ — this is the "after" demo fork, same dep footprint.
-aioboto3>=15.0    # async S3 client
-aiofiles>=23.2    # async file I/O for the JSONL manifest in /tmp

functions/sign_pdfs_v1/handler.py

@@ -0,0 +1,81 @@
+import asyncio
+import json
+import os
+import uuid
+
+import aioboto3
+import aiofiles
+
+BUCKET = os.environ.get("BUCKET_NAME", "my-company-reports-bucket")
+PREFIX = os.environ.get("PREFIX", "2026/04/")
+EXPIRY = int(os.environ.get("URL_EXPIRY_SECONDS", "900"))
+ENDPOINT = os.environ.get("S3_ENDPOINT_URL") or None
+QUEUE_MAX = int(os.environ.get("QUEUE_MAX", "2000"))
+
+_DONE = object()
+
+
+async def _run():
+    session = aioboto3.Session()
+    async with session.client("s3", endpoint_url=ENDPOINT) as s3:
+        queue: asyncio.Queue = asyncio.Queue(maxsize=QUEUE_MAX)
+        manifest_path = f"/tmp/{uuid.uuid4()}.jsonl"
+
+        async def producer():
+            paginator = s3.get_paginator("list_objects_v2")
+            try:
+                async for page in paginator.paginate(Bucket=BUCKET, Prefix=PREFIX, PaginationConfig={"PageSize": 100}):
+                    for obj in page.get("Contents", []) or []:
+                        key = obj["Key"]
+                        if key.lower().endswith(".pdf"):
+                            await queue.put(key)
+            finally:
+                await queue.put(_DONE)
+
+        async def consumer():
+            count = 0
+            async with aiofiles.open(manifest_path, "w") as f:
+                while True:
+                    item = await queue.get()
+                    if item is _DONE:
+                        break
+                    url = await s3.generate_presigned_url(
+                        "get_object",
+                        Params={"Bucket": BUCKET, "Key": item},
+                        ExpiresIn=EXPIRY,
+                    )
+                    await f.write(json.dumps({"key": item, "url": url}) + "\n")
+                    count += 1
+            return count
+
+        prod_task = asyncio.create_task(producer())
+        count = await consumer()
+        await prod_task
+
+        manifest_key = f"manifests/{uuid.uuid4()}.jsonl"
+        async with aiofiles.open(manifest_path, "rb") as f:
+            body = await f.read()
+        await s3.put_object(
+            Bucket=BUCKET,
+            Key=manifest_key,
+            Body=body,
+            ContentType="application/x-ndjson",
+        )
+        manifest_url = await s3.generate_presigned_url(
+            "get_object",
+            Params={"Bucket": BUCKET, "Key": manifest_key},
+            ExpiresIn=EXPIRY,
+        )
+
+        os.unlink(manifest_path)
+
+        return {
+            "count": count,
+            "manifest_key": manifest_key,
+            "manifest_url": manifest_url,
+        }
+
+
+def handler(event, context):
+    result = asyncio.run(_run())
+    return {"statusCode": 200, "body": json.dumps(result)}

functions/sign_pdfs_v1/requirements.txt

@@ -0,0 +1,6 @@
+# Deps for the sign_pdfs lambda. Bundled into its deployment zip when
+# uploading to AWS; locally, the runner pod installs the union of all
+# per-function requirements (see Dockerfile.lambda).
+aioboto3>=15.0    # async S3 client used in handler.py
+aiofiles>=23.2    # async file I/O for the JSONL manifest in /tmp
+boto3>=1.40       # sync S3 client used by seed.py (data setup utility)

functions/stub/handler.py

@@ -0,0 +1,8 @@
+"""Minimal handler used to bootstrap the SAM stack before the real
+sign_pdfs/ handler is wired in. Returns a fixed 200 stub response.
+"""
+import json
+
+
+def handler(event, context):
+    return {"statusCode": 200, "body": json.dumps({"stub": True})}

pyproject.toml

@@ -0,0 +1,9 @@
+[project]
+name = "eth"
+version = "0.1.0"
+description = "Local Lambda lab: kind + Tilt + Caddy + MinIO + FastAPI runner"
+requires-python = ">=3.13"
+dependencies = [
+    "fastapi>=0.115",
+    "uvicorn[standard]>=0.32",
+]

requirements.txt

@@ -1,5 +0,0 @@
-# Root requirements = runner + invoker deps only. Per-function deps live
-# alongside each function (functions/<name>/requirements.txt) so they're
-# bundled with the function's deployment zip for AWS.
-fastapi>=0.115
-uvicorn[standard]>=0.32

samconfig.toml

@@ -0,0 +1,8 @@
+version = 0.1
+
+[default.deploy.parameters]
+stack_name = "eth-demo"
+region = "us-east-1"
+capabilities = "CAPABILITY_IAM"
+resolve_s3 = true
+confirm_changeset = true

template.yaml

@@ -0,0 +1,49 @@
+AWSTemplateFormatVersion: '2010-09-09'
+Transform: AWS::Serverless-2016-10-31
+Description: eth-demo — Lambda + Step Functions demo
+
+Globals:
+  Function:
+    Runtime: python3.13
+    Timeout: 30
+    MemorySize: 256
+    Architectures: [arm64]
+    LoggingConfig:
+      LogFormat: JSON
+
+Resources:
+
+  ReportsBucket:
+    Type: AWS::S3::Bucket
+    Properties:
+      BucketName: !Sub eth-demo-reports-${AWS::AccountId}
+      LifecycleConfiguration:
+        Rules:
+          - Id: expire-manifests
+            Status: Enabled
+            Prefix: manifests/
+            ExpirationInDays: 1
+
+  SignPdfsLogGroup:
+    Type: AWS::Logs::LogGroup
+    Properties:
+      LogGroupName: /aws/lambda/eth-demo-sign-pdfs
+      RetentionInDays: 7
+
+  SignPdfsFunction:
+    Type: AWS::Serverless::Function
+    Properties:
+      FunctionName: eth-demo-sign-pdfs
+      CodeUri: functions/stub/
+      Handler: handler.handler
+      LoggingConfig:
+        LogFormat: JSON
+        LogGroup: !Ref SignPdfsLogGroup
+
+Outputs:
+  ReportsBucketName:
+    Description: S3 bucket for seed PDFs and manifest output
+    Value: !Ref ReportsBucket
+  SignPdfsFunctionArn:
+    Description: ARN of the main Lambda
+    Value: !GetAtt SignPdfsFunction.Arn

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