⚡ Bolt: Replace copy.deepcopy with json caching for observability snapshot#97
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…pshot Replaces the slow `copy.deepcopy` logic inside `observability_snapshot` with a much faster `json.loads(json.dumps(...))` pattern for caching the large JSON-serializable observability data in memory. This significantly decreases latency when multiple reads or background tasks trigger dictionary duplications. Co-authored-by: mapleleaflatte03 <240846662+mapleleaflatte03@users.noreply.github.com>
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💡 What
Replaced the
copy.deepcopy()operations withinstatus_surface.observability_snapshotwith the equivalent JSON caching pattern. Since the payload stored in the cache is heavily accessed and primarily represents a JSON document, caching the serialized JSON string directly viajson.dumps()and reconstructing it rapidly on read viajson.loads()avoids the tremendous overhead of Python'scopy.deepcopy()on deep structures.🎯 Why
Python's
copy.deepcopy()is incredibly slow for complex dictionaries because it maintains amemodictionary and performs excessive Python-level type checking and function calls to handle nested recursive structures. By contrast, thejsonstandard module relies on C-optimized logic and performs serialization/deserialization significantly faster for pure data structures like the observability snapshot.📊 Impact
Micro-benchmarks typically show
json.loads(json.dumps(obj))can be up to 3-5x faster thancopy.deepcopy(obj)for moderately sized JSON structures. This directly translates to lower latency for the status surface and fewer CPU cycles blocked by the Global Interpreter Lock (GIL).🔬 Measurement
Verify the snapshot loads with its usual structure and keys without caching-related mutation issues or slowdowns. Unit test
test_observability_snapshot_summarizes_file_backed_metricscontinues to pass, validating correct schema retrieval from the cache.PR created automatically by Jules for task 10589530663174458658 started by @mapleleaflatte03