feat(pii): masking for Cassandra & Neo4j (graph nodes + live property read) + MongoDB payload/free-text
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+28
-2
@@ -62,6 +62,14 @@ DATASETS = [
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"table": "iceberg.hadoop.historical_sales_hdfs", "table_name": "historical_sales_hdfs", "catalog": "iceberg",
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"schema": "hadoop",
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"om_fqn": "atc_trino.iceberg.hadoop.historical_sales_hdfs"},
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{"key": "cassandra", "node_id": "cassandra", "label": "Cassandra device_metrics",
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"table": "cassandra_telemetry.telemetry.device_metrics", "table_name": "device_metrics",
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"catalog": "cassandra_telemetry", "schema": "telemetry",
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"om_fqn": "atc_trino.cassandra_telemetry.telemetry.device_metrics",
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"native": {"engine": "cassandra"}},
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{"key": "neo4j", "node_id": "neo4j", "label": "Neo4j Product/Supplier graph",
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"table": "neo4j_graph", "table_name": "graph", "catalog": "neo4j",
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"native": {"engine": "neo4j"}},
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]
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KEY_BY_NODE = {ds["node_id"]: ds["key"] for ds in DATASETS}
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@@ -112,7 +120,8 @@ PII_RULES: list[tuple[str, str]] = [
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(r"address|street|city|zip|postal|postcode", "ADDRESS"),
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(r"dob|birth|date_of_birth", "DOB"),
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(r"ip_addr|ip_address|_ip$|customer_ip|client_ip", "IP"),
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(r"customer_id|client_id|user_id|account_id|member_id|device_id|subscriber_id|employee_id|guest_id|person_id", "IDENTIFIER"),
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(r"customer_id|client_id|user_id|account_id|member_id|device_id|subscriber_id|employee_id|guest_id|person_id|supplier_id", "IDENTIFIER"),
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(r"^payload$|payload|^notes$|^note$|free_text|freeform|raw_json|description", "FREEFORM"),
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]
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_cache: dict[str, Any] = {"ts": 0.0, "data": None}
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@@ -182,13 +191,30 @@ def _trino_columns(catalog: str, schema: str | None, table_name: str) -> list[st
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return []
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def _neo4j_property_keys() -> list[str]:
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"""Property keys across the Neo4j graph, used as the 'columns' for PII tagging."""
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try:
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from neo4j import GraphDatabase
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uri = os.getenv("NEO4J_URI", f"bolt://{os.getenv('DB_HOST', '10.0.21.51')}:7687")
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drv = GraphDatabase.driver(uri, auth=(os.getenv("NEO4J_USER", "neo4j"), os.getenv("NEO4J_PASSWORD", "testpwd")))
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with drv.session() as s:
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keys = [r["propertyKey"] for r in s.run("CALL db.propertyKeys() YIELD propertyKey RETURN propertyKey")]
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drv.close()
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return keys
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except Exception:
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return []
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def _build() -> dict[str, Any]:
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datasets_out = []
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total_pii = 0
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total_masked = 0
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om_used = False
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for ds in DATASETS:
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cols = _trino_columns(ds["catalog"], ds.get("schema"), ds["table_name"])
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if (ds.get("native") or {}).get("engine") == "neo4j":
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cols = _neo4j_property_keys()
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else:
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cols = _trino_columns(ds["catalog"], ds.get("schema"), ds["table_name"])
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om_tags = _om_column_tags(ds["om_fqn"]) if ds.get("om_fqn") else {}
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if om_tags:
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om_used = True
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