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Feat/incremental delta processing#349

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KaifAhmad1 merged 5 commits intoHawksight-AI:mainfrom
ZohaibHassan16:feat/incremental-delta-processing
Mar 3, 2026
Merged

Feat/incremental delta processing#349
KaifAhmad1 merged 5 commits intoHawksight-AI:mainfrom
ZohaibHassan16:feat/incremental-delta-processing

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@ZohaibHassan16 ZohaibHassan16 commented Feb 24, 2026

Description

This PR introduces Delta-Aware Pipelines. It allows the execution engine to dynamically intercept specific pipeline steps, compute the exact set-difference (added/removed triples) between two graph snapshots directly on the database backend, and pass only those changes downstream for validation or enrichment.

Type of Change

  • Bug fix
  • New feature
  • Breaking change
  • Documentation update
  • Performance improvement
  • Code refactoring

Related Issues

Closes #323

Changes Made

Storage & Metadata
Updated version_storage.py to track graph_uri explicitly. Added prune_versions to managers.py to clean up obsolete snapshots and optionally drop them from the DB to prevent storage bloat.
Native Delta Computation
Added compute_delta to triplet_store.py, utilizing SPARQL FILTER NOT EXISTS to push diff computation down to the database rather than loading full graphs into memory.
Pipeline Orchestration
Extended PipelineBuilder to support delta_mode, base_version_id, and target_version_id. Updated ExecutionEngine._execute_step to dynamically intercept delta steps, resolve URIs, compute the delta, and feed the diff payload to the handler.
Documentation
Added incremental processing guides, architectures, and pipeline configuration examples to change_management.md and pipeline.md.

Testing

  • Tested locally
  • Added tests for new functionality
  • Package builds successfully (python -m build)
Test Commands 
# Verify the delta interception logic and logical equivalence
pytest tests/pipeline/test_pipeline_comprehensive.py::TestPipelineComprehensive::test_execution_engine_delta_mode -v

Documentation

  • Updated relevant documentation
  • Added code examples if applicable
  • Updated API reference if adding new APIs
  • Updated cookbook if adding new examples
  • No documentation changes needed

Breaking Changes

Status No

Checklist

  • My code follows the project's style guidelines
  • I have performed a self-review of my code
  • I have commented my code, particularly in hard-to-understand areas
  • My changes generate no new warnings (Note: Skipped some pre-existing flake8 warnings on unrelated lines to keep this PR's scope strict)
  • Package builds successfully
@ZohaibHassan16 ZohaibHassan16 force-pushed the feat/incremental-delta-processing branch from 4484fa9 to 59ff25f Compare February 24, 2026 21:55
ZohaibHassan16 and others added 4 commits February 25, 2026 10:27
@ZohaibHassan16
fix: remove invalid import
e150f43
@KaifAhmad1 @claude
fix: correct critical bugs and typos in delta processing implementation
e3c1748 
Fix several critical bugs in the incremental/delta processing feature:

Critical bugs in triplet_store.py:
- Fix SPARQL query variable order in delta computation (?s ?o ?p -> ?s ?p ?o)
- Fix incorrect class reference (Triplets -> Triplet)
- Fix duplicate dictionary key (removed_triples -> removed_count)

Typos fixed:
- Fix typo in progress tracking (COmputeDelta -> ComputeDelta)
- Fix typo in log message (Delte -> Delta)
- Fix typo in version_storage.py docstring (piepline -> pipeline)
- Fix typo in managers.py comment (TripletScore -> TripletStore)

These fixes ensure the delta computation works correctly and returns
the proper structure for incremental pipeline processing.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
@KaifAhmad1 @claude
docs: update CHANGELOG for incremental/delta processing feature
bafc826 
Add comprehensive CHANGELOG entry for PR Hawksight-AI#349 documenting:
- Incremental/delta processing implementation
- Native SPARQL-based delta computation
- Delta-aware pipeline execution
- Version snapshot management and retention policies
- Performance and cost optimization benefits
- Bug fixes applied during review
- Test coverage and documentation

Contributors:
- @ZohaibHassan16 - Feature implementation
- @KaifAhmad1 - Code review and critical bug fixes

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
@KaifAhmad1
Merge branch 'main' into feat/incremental-delta-processing
1405f85
KaifAhmad1
KaifAhmad1 approved these changes Mar 3, 2026
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PR #349 Review - Incremental/Delta Processing

Author: @ZohaibHassan16 | Reviewer: @KaifAhmad1 | Status: ✅ Ready for Merge

Feature

Incremental/delta processing for handling only changed data instead of reprocessing entire datasets.

Critical Bugs Fixed

1. SPARQL Query Bug (triplet_store.py:456)

  • Wrong variable order: ?s ?o ?p → ?s ?p ?o
  • Would return incorrect delta results

2. NameError (triplet_store.py:483)

  • Triplets(s, p, o) → Triplet(s, p, o)
  • Runtime crash

3. Duplicate Dictionary Key (triplet_store.py:502)

  • "removed_triples": len(...) → "removed_count": len(...)
  • Would overwrite triples list

Minor Fixes

  • COmputeDelta → ComputeDelta (triplet_store.py:448)
  • Delte → Delta (triplet_store.py:493)
  • piepline → pipeline (version_storage.py:58)
  • TripletScore → TripletStore (managers.py:346)

Test Results

✅ test_execution_engine_delta_mode PASSED

Implementation

  • ✅ Snapshot APIs with graph versioning
  • ✅ SPARQL-based delta computation
  • ✅ Delta-aware pipeline execution (delta_mode)
  • ✅ Retention policies with prune_versions()
  • ✅ Comprehensive tests and documentation

Benefits

  • ⚡ Process only changes, not full datasets
  • 💰 Dramatically reduced compute cost
  • 🚀 Near real-time pipeline capability

Recommendation

✅ APPROVE - All critical issues resolved, ready to merge
@KaifAhmad1 KaifAhmad1 merged commit 95c5690 into Hawksight-AI:main Mar 3, 2026
3 checks passed
KaifAhmad1 added a commit that referenced this pull request Mar 9, 2026
@KaifAhmad1 @claude
feat: add 105 real-world context graph tests + update Discord link
bcd65c8 
- Add tests/test_030_context_graph_realworld_extended.py (105 tests, 0 failed)
  - ContextGraph advanced methods: analyze_decision_influence,
    get_decision_insights, trace_decision_causality,
    enforce_decision_policy, find_precedents_by_scenario
  - Research paper citation KG (arXiv provenance: Transformer, BERT,
    GPT-3, GPT-4, LLaMA, PaLM — source URLs as entity provenance)
  - E-commerce KG with pricing / supply-chain causal decision chains
  - GraphBuilderWithProvenance with GitHub + arXiv web-sourced data
  - AlgorithmTrackerWithProvenance: all 10 methods incl. 9 domain-specific
    ones added in 0.3.0-alpha (track_cross_domain_similarity, etc.)
  - Parquet export: entities, relationships, full KG, all codecs (PR #343)
  - ArangoDB AQL export: INSERT content, custom collections (PR #342)
  - Deduplication v2: two-stage prefilter, phonetic blocking, hybrid_v2,
    budget limiting (PR #339); semantic rel dedup v2 (PR #340)
  - AgentMemory: store, retrieve, statistics, conversation history
  - Full E2E workflow: build → decisions → influence → export → dedup
  - Multi-domain precedent search (SEC EDGAR, AMA, M&A news sources)
  - Graph serialization round-trips (research, ecommerce, GitHub domains)
  - Incremental/delta processing simulation (PR #349)
  - All 190 tests (85 existing + 105 new) pass, 0 failed

- Fix Discord invite link — replace expiring links with permanent invite
  across all docs and GitHub files:
  Old: discord.gg/N7WmAuDH, discord.gg/ggb7vWeP
  New: discord.gg/sV34vps5hH (never-expire, unlimited invites)
  Files: README.md, CONTRIBUTING.md, CONTRIBUTORS.md, SUPPORT.md,
         .github/SUPPORT.md, docs/index.md, docs/getting-started.md,
         docs/CodeExamples.md, docs/reference/provenance.md,
         semantica/change_management/change_management_usage.md

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
@KaifAhmad1 KaifAhmad1 mentioned this pull request Mar 9, 2026
Merged
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KaifAhmad1 added a commit that referenced this pull request Mar 9, 2026
@KaifAhmad1 @claude
feat: add 105 real-world context graph tests + update Discord link (#365
e8d0d7a 
)

- Add tests/test_030_context_graph_realworld_extended.py (105 tests, 0 failed)
  - ContextGraph advanced methods: analyze_decision_influence,
    get_decision_insights, trace_decision_causality,
    enforce_decision_policy, find_precedents_by_scenario
  - Research paper citation KG (arXiv provenance: Transformer, BERT,
    GPT-3, GPT-4, LLaMA, PaLM — source URLs as entity provenance)
  - E-commerce KG with pricing / supply-chain causal decision chains
  - GraphBuilderWithProvenance with GitHub + arXiv web-sourced data
  - AlgorithmTrackerWithProvenance: all 10 methods incl. 9 domain-specific
    ones added in 0.3.0-alpha (track_cross_domain_similarity, etc.)
  - Parquet export: entities, relationships, full KG, all codecs (PR #343)
  - ArangoDB AQL export: INSERT content, custom collections (PR #342)
  - Deduplication v2: two-stage prefilter, phonetic blocking, hybrid_v2,
    budget limiting (PR #339); semantic rel dedup v2 (PR #340)
  - AgentMemory: store, retrieve, statistics, conversation history
  - Full E2E workflow: build → decisions → influence → export → dedup
  - Multi-domain precedent search (SEC EDGAR, AMA, M&A news sources)
  - Graph serialization round-trips (research, ecommerce, GitHub domains)
  - Incremental/delta processing simulation (PR #349)
  - All 190 tests (85 existing + 105 new) pass, 0 failed

- Fix Discord invite link — replace expiring links with permanent invite
  across all docs and GitHub files:
  Old: discord.gg/N7WmAuDH, discord.gg/ggb7vWeP
  New: discord.gg/sV34vps5hH (never-expire, unlimited invites)
  Files: README.md, CONTRIBUTING.md, CONTRIBUTORS.md, SUPPORT.md,
         .github/SUPPORT.md, docs/index.md, docs/getting-started.md,
         docs/CodeExamples.md, docs/reference/provenance.md,
         semantica/change_management/change_management_usage.md

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
KaifAhmad1 added a commit that referenced this pull request Mar 9, 2026
@KaifAhmad1 @claude
Utlis Update Readme (#369)
a4caafb 
* feat: add 105 real-world context graph tests + update Discord link

- Add tests/test_030_context_graph_realworld_extended.py (105 tests, 0 failed)
  - ContextGraph advanced methods: analyze_decision_influence,
    get_decision_insights, trace_decision_causality,
    enforce_decision_policy, find_precedents_by_scenario
  - Research paper citation KG (arXiv provenance: Transformer, BERT,
    GPT-3, GPT-4, LLaMA, PaLM — source URLs as entity provenance)
  - E-commerce KG with pricing / supply-chain causal decision chains
  - GraphBuilderWithProvenance with GitHub + arXiv web-sourced data
  - AlgorithmTrackerWithProvenance: all 10 methods incl. 9 domain-specific
    ones added in 0.3.0-alpha (track_cross_domain_similarity, etc.)
  - Parquet export: entities, relationships, full KG, all codecs (PR #343)
  - ArangoDB AQL export: INSERT content, custom collections (PR #342)
  - Deduplication v2: two-stage prefilter, phonetic blocking, hybrid_v2,
    budget limiting (PR #339); semantic rel dedup v2 (PR #340)
  - AgentMemory: store, retrieve, statistics, conversation history
  - Full E2E workflow: build → decisions → influence → export → dedup
  - Multi-domain precedent search (SEC EDGAR, AMA, M&A news sources)
  - Graph serialization round-trips (research, ecommerce, GitHub domains)
  - Incremental/delta processing simulation (PR #349)
  - All 190 tests (85 existing + 105 new) pass, 0 failed

- Fix Discord invite link — replace expiring links with permanent invite
  across all docs and GitHub files:
  Old: discord.gg/N7WmAuDH, discord.gg/ggb7vWeP
  New: discord.gg/sV34vps5hH (never-expire, unlimited invites)
  Files: README.md, CONTRIBUTING.md, CONTRIBUTORS.md, SUPPORT.md,
         .github/SUPPORT.md, docs/index.md, docs/getting-started.md,
         docs/CodeExamples.md, docs/reference/provenance.md,
         semantica/change_management/change_management_usage.md

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* docs: rewrite README with better positioning, full feature coverage, and code examples

- Reframe with clear Problem/Solution sections
- Add comprehensive Features section covering all modules
- Add code examples for every core module (context graphs, KG, extraction, reasoning, provenance, vector store, ingestion, export, pipeline, ontology)
- Add Graph DB and Vector DB support section (Neptune, AGE, FalkorDB, FAISS)
- Add Datalog reasoning engine feature request doc
- Update Discord links to permanent invite
- Use 🧠 as Semantica signature emoji, minimal emoji usage elsewhere

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
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