feat: Ghost State Hydrator - Remote Investigation State Hydration#103
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feat: Ghost State Hydrator - Remote Investigation State Hydration#103
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…fy, blame, sniff, mock)
- Add InvestigationSnapshot Pydantic model with version field for forward compatibility - Add EnvironmentMetadata to capture Python version, platform, package versions - Add SnapshotCheckpoint enum (start, hypothesis_generated, evidence_collected, complete, failed) - Add LineageSnapshot for capturing upstream/downstream dependencies - Add SampleDataReference for externally stored large datasets - Include size estimation and oversized detection methods - Add 18 unit tests covering all models and methods Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Create SnapshotStore protocol with LocalSnapshotStore and S3SnapshotStore - Add capture_snapshot Temporal activity for non-blocking state capture - Integrate snapshot capture at START, HYPOTHESIS_GENERATED, COMPLETE checkpoints - Add enable_snapshots flag to InvestigationInput - Add snapshot_paths to InvestigationResult for tracking captured snapshots Implements fn-49.2: Snapshot capture in Temporal workflow Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add GET /investigations/{id}/snapshots to list available snapshots
- Add GET /investigations/{id}/snapshots/{checkpoint} to download
- Support gzip compression via Accept-Encoding header
- Include X-Snapshot-Version, X-Snapshot-Checkpoint headers
- Enforce tenant isolation for snapshot access
- Add unit tests for snapshot models
Implements fn-49.3: Snapshot Download API
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Create dataing.sdk package with load_snapshot() -> HydratedState - HydratedState contains alert, hypotheses, evidence, synthesis - NavigableSchema with .tables['name'].columns access - QueryableLineage with .upstream() and .downstream() queries - Lazy DataFrame deserialization for large sample data - Version compatibility warnings for schema mismatches - Comprehensive unit tests (33 tests) Implements fn-49.4: Snapshot Deserializer in SDK Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add IPython magic commands: %dataing hydrate, list, help - Add Recent Investigations section to JupyterLab sidebar widget - Add Hydrate button for each investigation - Wire up kernel execution for in-notebook hydration - Support --checkpoint, --namespace, --overwrite options - Variables injected: dataing_alert, dataing_hypotheses, etc. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add compare_snapshots() function to diff investigation states across checkpoints. Includes diff dataclasses for schema, hypotheses, evidence, synthesis, and dataframes. Supports markdown and HTML export for Jupyter notebooks. Adds %dataing diff magic command. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Refactor magic.py to use typed stub functions at module level that get reassigned when IPython is available. Add mypy override for sdk.magic module to handle warn_unused_ignores since type ignores are only needed when IPython is installed. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Create DataingMagics instance with shell=None to avoid traitlets validation error, then manually set shell attribute for tests. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Patch dataing.sdk.snapshot.load_snapshot instead of dataing.sdk.magic.load_snapshot since load_snapshot is imported inside the _hydrate method from dataing.sdk.snapshot, not at the magic module level. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
Implements epic fn-49 "Ghost State Hydrator" - enabling engineers to hydrate production investigation state into local JupyterLab notebooks for debugging.
InvestigationSnapshotmodel for state serialization with schema versioningload_snapshot()deserializer with lazy DataFrame loading%dataing hydrate,%dataing diff,%dataing list)Test plan
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