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Cloud-agnostic Python audit logger for emitting PHI-safe behavioral healthcare audit events conforming to bh-audit-schema v1.1

Project description

bh-audit-logger

Cloud-agnostic Python utilities for emitting privacy-preserving audit events for behavioral healthcare systems.

Events conform to bh-audit-schema v1.1: https://github.com/bh-healthcare/bh-audit-schema

Why

Audit logging in healthcare is often inconsistent across services and jobs. This library provides a small, boring, correct baseline for emitting structured audit events from any Python code — Lambdas, workers, CLIs, ETL jobs, cron scripts — without logging raw PHI.

It is not tied to FastAPI (see bh-fastapi-audit for middleware-based logging).

Quickstart

pip install bh-audit-logger
from bh_audit_logger import AuditLogger, AuditLoggerConfig

logger = AuditLogger(
    config=AuditLoggerConfig(
        service_name="overstory-datalake",
        service_environment="prod",
    )
)

logger.audit(
    "READ",
    actor={"subject_id": "service_lambda", "subject_type": "service"},
    resource={"type": "Patient", "id": "patient_123"},
    outcome={"status": "SUCCESS"},
    correlation={"request_id": "req_abc"},
)

By default, events are emitted as one compact JSON line via Python logging (stdout-friendly).

Example output

{"schema_version":"1.1","event_id":"6d3f0f6b-0c1a-4b9f-9d6f-9f6f7f5b2b0a","timestamp":"2026-03-28T12:00:00.000Z","service":{"name":"overstory-datalake","environment":"prod"},"actor":{"subject_id":"service_lambda","subject_type":"service"},"action":{"type":"READ","data_classification":"UNKNOWN"},"resource":{"type":"Patient","id":"patient_123"},"outcome":{"status":"SUCCESS"},"correlation":{"request_id":"req_abc"}}

Production usage: container logging

from bh_audit_logger import AuditLogger, AuditLoggerConfig, LoggingSink

logger = AuditLogger(
    config=AuditLoggerConfig(
        service_name="my-service",
        service_environment="prod",
    ),
    sink=LoggingSink(logger_name="bh.audit", level="INFO"),
)

Works anywhere stdout is collected: CloudWatch, GCP Cloud Logging, Azure Monitor, Kubernetes logging pipelines.

Production hardening

Frozen config

AuditLoggerConfig is frozen after creation (@dataclass(frozen=True)) to prevent runtime mutation of security settings:

config = AuditLoggerConfig(
    service_name="my-service",
    metadata_allowlist=frozenset({"batch_id", "region"}),
)
config.sanitize_errors = False  # raises AttributeError

Sink failure isolation

By default, sink failures are logged but never propagate to your application logic:

config = AuditLoggerConfig(
    service_name="my-service",
    emit_failure_mode="log",       # "silent", "log" (default), or "raise"
    failure_logger_name="bh.audit.internal",
)

Metadata restrictions

Metadata values are enforced to be scalar JSON types (str, int, float, bool, None). Dict, list, and tuple values are silently dropped. Long strings are truncated:

config = AuditLoggerConfig(
    service_name="my-service",
    metadata_allowlist=frozenset({"batch_id", "region"}),
    max_metadata_value_length=200,
)

Internal counters

Track emission health via lightweight counters:

logger = AuditLogger(config=config)
# ... emit events ...
print(logger.stats.snapshot())
# {"events_emitted_total": 42, "emit_failures_total": 0, "events_dropped_total": 0, "validation_failures_total": 0}

Non-blocking async emission (optional)

v0.3 adds EmitQueue for async emission from async contexts:

from bh_audit_logger import EmitQueue

queue = EmitQueue(sink, stats, maxsize=5000)
queue.start()
queue.enqueue(event)
# ... later ...
await queue.shutdown()

Sinks

Sink Use case Notes
LoggingSink (default) Production One compact JSON line per event via Python logging; stdout-friendly
JsonlFileSink Local dev, demos Appends to a .jsonl file; thread-safe, flush-on-write by default
MemorySink Tests Bounded optional (maxlen); use len(sink) and sink.events in assertions

Pass any sink to AuditLogger(config=..., sink=...). Omit sink to get LoggingSink by default.

Configuration

AuditLoggerConfig fields (frozen after creation):

Field Type Default Description
service_name str required Name of the service emitting events
service_environment str "unknown" Deployment environment (prod, staging, dev)
service_version str | None None Service version/build identifier
default_actor_id str "unknown" Default actor when none provided
default_actor_type Literal["human", "service"] "service" Default actor type
metadata_allowlist frozenset[str] frozenset() Allowed metadata keys (empty = no metadata)
sanitize_errors bool True Sanitize error messages (redact SSN/email/phone)
error_message_max_len int 200 Max length for sanitized error messages
emit_failure_mode Literal "log" How to handle sink failures
time_source Callable utcnow Injectable time source for testing
id_factory Callable uuid4 Injectable ID factory for testing
schema_version str "1.1" Schema version for emitted events

Typed event blocks

v0.3 exports TypedDict definitions for all event sub-blocks:

from bh_audit_logger import (
    AuditEvent, ServiceBlock, ActorBlock, ActionBlock,
    ResourceBlock, OutcomeBlock, CorrelationBlock,
    ActionType, ActorType, OutcomeStatus, DataClassification,
)

PHI-safe by default

  • No request/response bodies — the library never tries to capture payloads
  • Metadata is opt-in and strictly allowlisted — only keys in metadata_allowlist pass through; values must be scalar JSON types
  • Error messages are sanitized — SSN, email, phone patterns are redacted and messages are length-capped
  • PHI safety is enforced by tests that assert synthetic PHI tokens never appear in emitted events

Schema conformance

All events conform to bh-audit-schema v1.1. The v1.1 schema adds:

  • DENIED outcome status (for authorization denials)
  • Conditional FAILURE validation (requires error_type + error_message)
  • maxLength/minLength bounds on all string fields
  • Scalar-only metadata enforcement

Optional schema validation

pip install bh-audit-logger[jsonschema]
from bh_audit_logger import validate_event

event = {...}
validate_event(event)  # raises ValidationError on failure

Validates against the vendored bh-audit-schema v1.1 JSON schema included in the package.

Related projects

License

Apache 2.0

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