Implement reversible PII de-identification round trip (T1–T7)
Build the AWS side of the HNCB demo end to end (region ap-southeast-1): - T1 /tokenize + T2 /restore: Lambdas behind a public API Gateway (shared-secret auth), Presidio detection, random per-request tokens, DynamoDB vault; overlap resolution so a ROC ID stays TW_ROC_ID. - T3: Presidio made private (SG-locked to the tokenize Lambda in-VPC; DynamoDB gateway endpoint); only /tokenize + /restore are public. - T4: RAG Lambda registered as an MCP tool on an AgentCore Gateway (AWS_IAM/SigV4); agentcore_setup.sh + a SigV4 MCP invoke test. - T5: Strands agent deployed to AgentCore Runtime; SigV4 gateway auth, apac inference profile, pinned deps. - T6: advisor UI on S3+CloudFront with a Fusion-less demo orchestrator (/demo) chaining tokenize -> runtime -> restore. - T7: README runbook + trace check; teardown deletes gateway/runtime/memory/ECR. Verified live: the cloud AgentCore/Bedrock trace shows only tokens, never the real name. Secrets stay in gitignored local.auto.tfvars. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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187
gateway_api/tokenize/handler.py
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187
gateway_api/tokenize/handler.py
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"""
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/tokenize endpoint (T1) -- ingress de-identification for the HNCB demo (step 2).
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Fusion SaaS POSTs the advisor's raw query here. We:
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1. send the text to the Presidio detector (/analyze) -> typed findings
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2. mint a RANDOM token per finding (CUST_<rand> for a PERSON, TW_<rand> for a
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Taiwan ROC ID) -- detection != redaction: the detector never sees a token,
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WE own minting + the reversible map
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3. write each mapping into the on-prem vault, keyed by a fresh session_id
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4. splice the tokens back into the text (right-to-left, so offsets stay valid)
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5. return {deidentified_prompt, session_id} -- the only thing that leaves for the cloud
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Vault row shape (kept compatible with lambda_rag/handler.py):
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{token, type, value, session_id, expires_at [, customer_id]}
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- `value` is the ORIGINAL pii string -> lets /restore (T2) put identity back
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- `customer_id` is added for a PERSON we can resolve, so the RAG tool (T4)
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can turn a token into a de-identified evidence package. The RAG handler reads
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entry.get("customer_id") for non-"CUSTOMER" types, so this Just Works.
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Runs as a Lambda behind a Function URL (public HTTPS). Auth is a shared secret
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(Fusion sends it as a bearer token / x-api-key); see TOKENIZE_API_KEY below.
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Stdlib + boto3 only, per repo conventions.
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"""
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import base64
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import hmac
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import json
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import os
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import secrets
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import time
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import urllib.request
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import uuid
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import boto3
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ddb = boto3.resource("dynamodb")
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VAULT = ddb.Table(os.environ["VAULT_TABLE"])
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# Optional: resolving PERSON -> customer_id makes the vault row usable by the RAG
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# tool. If the customers table isn't configured we still tokenize (best effort).
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_CUSTOMERS_TABLE = os.environ.get("CUSTOMERS_TABLE")
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CUSTOMERS = ddb.Table(_CUSTOMERS_TABLE) if _CUSTOMERS_TABLE else None
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PRESIDIO_URL = os.environ.get("PRESIDIO_URL", "http://localhost:5001").rstrip("/")
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TTL_SECONDS = int(os.environ.get("VAULT_TTL_SECONDS", "3600"))
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# Shared secret Fusion presents. If unset we allow all callers (local dev only)
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# and say so in the response so it's obvious this isn't locked down.
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API_KEY = os.environ.get("TOKENIZE_API_KEY")
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# entity type -> token prefix. Only these are tokenized in the demo.
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_PREFIX = {"PERSON": "CUST", "TW_ROC_ID": "TW"}
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# When Presidio returns overlapping spans (e.g. the ROC ID digits flagged as BOTH
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# TW_ROC_ID and PERSON), the more specific entity wins. Higher = kept.
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_PRIORITY = {"TW_ROC_ID": 2, "PERSON": 1}
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def _resolve_overlaps(findings):
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# Keep only demo-scoped entities, then greedily drop any finding that overlaps
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# one we've already kept. Best-first order = specific entity, then score, then
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# longer span -- so the ROC ID stays TW_ROC_ID and the spurious PERSON on the
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# same digits is discarded (no double-tokenising, no corrupted splice).
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cand = [f for f in findings if f["entity_type"] in _PREFIX]
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cand.sort(
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key=lambda f: (_PRIORITY.get(f["entity_type"], 0), f["score"], f["end"] - f["start"]),
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reverse=True,
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)
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kept = []
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for f in cand:
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if any(f["start"] < k["end"] and f["end"] > k["start"] for k in kept):
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continue # overlaps a higher-priority finding already kept
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kept.append(f)
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return kept
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def _mint(prefix):
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# Random per request -> the same query yields different tokens every call.
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# 6 digits mirrors the seeded demo token (CUST_000123) for a familiar look.
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return f"{prefix}_{secrets.randbelow(1_000_000):06d}"
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def _analyze(text, language="zh"):
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body = json.dumps({"text": text, "language": language}).encode("utf-8")
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req = urllib.request.Request(
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f"{PRESIDIO_URL}/analyze",
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data=body,
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headers={"Content-Type": "application/json"},
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method="POST",
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)
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with urllib.request.urlopen(req, timeout=10) as resp:
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return json.loads(resp.read().decode("utf-8"))
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def _resolve_customer_id(name):
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# Demo-grade name -> customer_id resolution (one seeded customer, so a scan is
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# fine). Best effort: if it fails we still tokenize, just without a RAG link.
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if not CUSTOMERS:
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return None
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try:
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from boto3.dynamodb.conditions import Attr
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res = CUSTOMERS.scan(FilterExpression=Attr("name").eq(name), Limit=1)
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items = res.get("Items", [])
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return items[0]["customer_id"] if items else None
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except Exception:
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return None
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def _authorized(headers):
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if not API_KEY:
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return True # local dev / unset -> allow (flagged in the response)
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presented = headers.get("x-api-key") or ""
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if not presented:
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auth = headers.get("authorization") or ""
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if auth.lower().startswith("bearer "):
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presented = auth[7:]
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return bool(presented) and hmac.compare_digest(presented, API_KEY)
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def _parse(event):
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"""Accept a Lambda Function URL / API Gateway event, or a raw dict (tests)."""
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if "body" in event and not isinstance(event.get("body"), dict):
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raw = event.get("body") or "{}"
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if event.get("isBase64Encoded"):
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raw = base64.b64decode(raw).decode("utf-8")
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payload = json.loads(raw) if raw else {}
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headers = {k.lower(): v for k, v in (event.get("headers") or {}).items()}
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return payload, headers
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# Direct invoke: the event itself is the payload; no HTTP headers.
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return event, {}
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def _reply(status, obj):
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return {
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"statusCode": status,
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"headers": {"Content-Type": "application/json"},
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"body": json.dumps(obj, ensure_ascii=False),
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}
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def lambda_handler(event, _context):
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payload, headers = _parse(event)
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if not _authorized(headers):
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return _reply(401, {"error": "unauthorized"})
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query = (payload.get("query") or "").strip()
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if not query:
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return _reply(400, {"error": "query is required"})
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language = payload.get("language", "zh")
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try:
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findings = _analyze(query, language)
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except Exception as e: # detector unreachable -> fail closed, never leak raw text
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return _reply(502, {"error": f"detector unavailable: {e}"})
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session_id = uuid.uuid4().hex
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expires_at = int(time.time()) + TTL_SECONDS
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# Drop overlapping/duplicate spans, then tokenize right-to-left so earlier
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# offsets stay valid as we splice.
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findings = _resolve_overlaps(findings)
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findings.sort(key=lambda f: f["start"], reverse=True)
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text = query
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minted = []
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for f in findings:
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prefix = _PREFIX[f["entity_type"]] # guaranteed present by _resolve_overlaps
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original = f["text"]
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token = _mint(prefix)
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item = {
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"token": token,
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"type": f["entity_type"],
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"value": original, # original PII -> lets /restore put it back
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"session_id": session_id,
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"expires_at": expires_at,
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}
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if f["entity_type"] == "PERSON":
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customer_id = _resolve_customer_id(original)
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if customer_id:
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item["customer_id"] = customer_id # RAG tool resolves via this
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VAULT.put_item(Item=item)
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text = text[: f["start"]] + token + text[f["end"] :]
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minted.append({"token": token, "type": f["entity_type"]})
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resp = {"deidentified_prompt": text, "session_id": session_id, "tokens": minted}
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if not API_KEY:
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resp["warning"] = "TOKENIZE_API_KEY unset -- endpoint is unauthenticated (dev only)"
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return _reply(200, resp)
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