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Original commit made a bunch of unrelated line changes. |
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Resolves migration numbering conflict: our composite edge index renumbered from v6 to v8 (v7 reserved by upstream PR tirth8205#127). Skills.py conflict resolved keeping our hooks structure with upstream's encoding fix. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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…izations Major improvements to code-review-graph spanning parser architecture, call graph accuracy, and build performance. Parser refactoring: - Extract 16 per-language handler modules into code_review_graph/lang/ using a strategy pattern, replacing monolithic conditionals in parser.py - Thread-safe parser caches with double-check locking Call graph enrichment: - Jedi-based Python method call resolution at build time (jedi_resolver.py) - Pre-scan filtering by project function names (36s to 3s on large repos) - Typed variable call enrichment (Python, JS/TS, Kotlin/Java) - Star import resolution, namespace imports, CommonJS require() - Angular template parsing, JSX handler tracking - Module-level import tracking and module-qualified call resolution - Function/class references passed as call arguments PreToolUse search enrichment: - New enrich.py module and code-review-graph enrich CLI command - Injects graph context (callers, flows, community, tests) into agent search results passively via hook Dead code false positive reduction: - Framework decorators recognized as entry points - CDK construct methods, abstract overrides excluded - E2e test directories excluded from dead code detection Performance: - Community detection: 48.6s to 2.3s (21x speedup) via bulk node loading and adjacency-indexed cohesion computation - Jedi enrichment: 36s to 3s (12x) via pre-scan filtering - Batch file storage (50-file transactions) - Batch risk_index (2 GROUP BY queries replace per-node loops) Other: - Weighted flow risk scoring by criticality - Transitive TESTED_BY lookup for tests_for and risk scoring - DB schema v8: composite edge index (v7 reserved by PR tirth8205#127) - --quiet and --json CLI flags - Search query deduplication, test function deprioritization - New [enrichment] optional dependency group for Jedi - 829+ tests across 26 test files (up from 615) Evaluated against Gadgetbridge (41k nodes, 280k edges): 8/10 PASS, call resolution rate improved from 28% to 39.6%.
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gzenz
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Apr 8, 2026
…izations Major improvements to code-review-graph spanning parser architecture, call graph accuracy, and build performance. Parser refactoring: - Extract 16 per-language handler modules into code_review_graph/lang/ using a strategy pattern, replacing monolithic conditionals in parser.py - Thread-safe parser caches with double-check locking Call graph enrichment: - Jedi-based Python method call resolution at build time (jedi_resolver.py) - Pre-scan filtering by project function names (36s to 3s on large repos) - Typed variable call enrichment (Python, JS/TS, Kotlin/Java) - Star import resolution, namespace imports, CommonJS require() - Angular template parsing, JSX handler tracking - Module-level import tracking and module-qualified call resolution - Function/class references passed as call arguments PreToolUse search enrichment: - New enrich.py module and code-review-graph enrich CLI command - Injects graph context (callers, flows, community, tests) into agent search results passively via hook Dead code false positive reduction: - Framework decorators recognized as entry points - CDK construct methods, abstract overrides excluded - E2e test directories excluded from dead code detection Performance: - Community detection: 48.6s to 2.3s (21x speedup) via bulk node loading and adjacency-indexed cohesion computation - Jedi enrichment: 36s to 3s (12x) via pre-scan filtering - Batch file storage (50-file transactions) - Batch risk_index (2 GROUP BY queries replace per-node loops) Other: - Weighted flow risk scoring by criticality - Transitive TESTED_BY lookup for tests_for and risk scoring - DB schema v8: composite edge index (v7 reserved by PR tirth8205#127) - --quiet and --json CLI flags - Search query deduplication, test function deprioritization - New [enrichment] optional dependency group for Jedi - 829+ tests across 26 test files (up from 615) Evaluated against Gadgetbridge (41k nodes, 280k edges): 8/10 PASS, call resolution rate improved from 28% to 39.6%.
Author
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@tirth8205 Updated SUPPORTED_SCHEMA_VERSION to 7 as requested. |
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Review: PR #127 — Branch WarningBranch conflict: This PR is from Recommendation: Please create a dedicated branch (e.g., The code itself is correct: The v7 migration adding Cannot merge as-is due to the |
gzenz
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Apr 11, 2026
…izations Major improvements to code-review-graph spanning parser architecture, call graph accuracy, and build performance. Parser refactoring: - Extract 16 per-language handler modules into code_review_graph/lang/ using a strategy pattern, replacing monolithic conditionals in parser.py - Thread-safe parser caches with double-check locking Call graph enrichment: - Jedi-based Python method call resolution at build time (jedi_resolver.py) - Pre-scan filtering by project function names (36s to 3s on large repos) - Typed variable call enrichment (Python, JS/TS, Kotlin/Java) - Star import resolution, namespace imports, CommonJS require() - Angular template parsing, JSX handler tracking - Module-level import tracking and module-qualified call resolution - Function/class references passed as call arguments PreToolUse search enrichment: - New enrich.py module and code-review-graph enrich CLI command - Injects graph context (callers, flows, community, tests) into agent search results passively via hook Dead code false positive reduction: - Framework decorators recognized as entry points - CDK construct methods, abstract overrides excluded - E2e test directories excluded from dead code detection Performance: - Community detection: 48.6s to 2.3s (21x speedup) via bulk node loading and adjacency-indexed cohesion computation - Jedi enrichment: 36s to 3s (12x) via pre-scan filtering - Batch file storage (50-file transactions) - Batch risk_index (2 GROUP BY queries replace per-node loops) Other: - Weighted flow risk scoring by criticality - Transitive TESTED_BY lookup for tests_for and risk scoring - DB schema v8: composite edge index (v7 reserved by PR tirth8205#127) - --quiet and --json CLI flags - Search query deduplication, test function deprioritization - New [enrichment] optional dependency group for Jedi - 829+ tests across 26 test files (up from 615) Evaluated against Gadgetbridge (41k nodes, 280k edges): 8/10 PASS, call resolution rate improved from 28% to 39.6%.
gzenz
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Apr 11, 2026
…izations Major improvements to code-review-graph spanning parser architecture, call graph accuracy, and build performance. Parser refactoring: - Extract 16 per-language handler modules into code_review_graph/lang/ using a strategy pattern, replacing monolithic conditionals in parser.py - Thread-safe parser caches with double-check locking Call graph enrichment: - Jedi-based Python method call resolution at build time (jedi_resolver.py) - Pre-scan filtering by project function names (36s to 3s on large repos) - Typed variable call enrichment (Python, JS/TS, Kotlin/Java) - Star import resolution, namespace imports, CommonJS require() - Angular template parsing, JSX handler tracking - Module-level import tracking and module-qualified call resolution - Function/class references passed as call arguments PreToolUse search enrichment: - New enrich.py module and code-review-graph enrich CLI command - Injects graph context (callers, flows, community, tests) into agent search results passively via hook Dead code false positive reduction: - Framework decorators recognized as entry points - CDK construct methods, abstract overrides excluded - E2e test directories excluded from dead code detection Performance: - Community detection: 48.6s to 2.3s (21x speedup) via bulk node loading and adjacency-indexed cohesion computation - Jedi enrichment: 36s to 3s (12x) via pre-scan filtering - Batch file storage (50-file transactions) - Batch risk_index (2 GROUP BY queries replace per-node loops) Other: - Weighted flow risk scoring by criticality - Transitive TESTED_BY lookup for tests_for and risk scoring - DB schema v8: composite edge index (v7 reserved by PR tirth8205#127) - --quiet and --json CLI flags - Search query deduplication, test function deprioritization - New [enrichment] optional dependency group for Jedi - 829+ tests across 26 test files (up from 615) Evaluated against Gadgetbridge (41k nodes, 280k edges): 8/10 PASS, call resolution rate improved from 28% to 39.6%.
gzenz
added a commit
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that referenced
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Apr 11, 2026
…izations Major improvements to code-review-graph spanning parser architecture, call graph accuracy, and build performance. Parser refactoring: - Extract 16 per-language handler modules into code_review_graph/lang/ using a strategy pattern, replacing monolithic conditionals in parser.py - Thread-safe parser caches with double-check locking Call graph enrichment: - Jedi-based Python method call resolution at build time (jedi_resolver.py) - Pre-scan filtering by project function names (36s to 3s on large repos) - Typed variable call enrichment (Python, JS/TS, Kotlin/Java) - Star import resolution, namespace imports, CommonJS require() - Angular template parsing, JSX handler tracking - Module-level import tracking and module-qualified call resolution - Function/class references passed as call arguments PreToolUse search enrichment: - New enrich.py module and code-review-graph enrich CLI command - Injects graph context (callers, flows, community, tests) into agent search results passively via hook Dead code false positive reduction: - Framework decorators recognized as entry points - CDK construct methods, abstract overrides excluded - E2e test directories excluded from dead code detection Performance: - Community detection: 48.6s to 2.3s (21x speedup) via bulk node loading and adjacency-indexed cohesion computation - Jedi enrichment: 36s to 3s (12x) via pre-scan filtering - Batch file storage (50-file transactions) - Batch risk_index (2 GROUP BY queries replace per-node loops) Other: - Weighted flow risk scoring by criticality - Transitive TESTED_BY lookup for tests_for and risk scoring - DB schema v8: composite edge index (v7 reserved by PR tirth8205#127) - --quiet and --json CLI flags - Search query deduplication, test function deprioritization - New [enrichment] optional dependency group for Jedi - 829+ tests across 26 test files (up from 615) Evaluated against Gadgetbridge (41k nodes, 280k edges): 8/10 PASS, call resolution rate improved from 28% to 39.6%.
gzenz
added a commit
to gzenz/code-review-graph
that referenced
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Apr 11, 2026
…izations Major improvements to code-review-graph spanning parser architecture, call graph accuracy, and build performance. Parser refactoring: - Extract 16 per-language handler modules into code_review_graph/lang/ using a strategy pattern, replacing monolithic conditionals in parser.py - Thread-safe parser caches with double-check locking Call graph enrichment: - Jedi-based Python method call resolution at build time (jedi_resolver.py) - Pre-scan filtering by project function names (36s to 3s on large repos) - Typed variable call enrichment (Python, JS/TS, Kotlin/Java) - Star import resolution, namespace imports, CommonJS require() - Angular template parsing, JSX handler tracking - Module-level import tracking and module-qualified call resolution - Function/class references passed as call arguments PreToolUse search enrichment: - New enrich.py module and code-review-graph enrich CLI command - Injects graph context (callers, flows, community, tests) into agent search results passively via hook Dead code false positive reduction: - Framework decorators recognized as entry points - CDK construct methods, abstract overrides excluded - E2e test directories excluded from dead code detection Performance: - Community detection: 48.6s to 2.3s (21x speedup) via bulk node loading and adjacency-indexed cohesion computation - Jedi enrichment: 36s to 3s (12x) via pre-scan filtering - Batch file storage (50-file transactions) - Batch risk_index (2 GROUP BY queries replace per-node loops) Other: - Weighted flow risk scoring by criticality - Transitive TESTED_BY lookup for tests_for and risk scoring - DB schema v8: composite edge index (v7 reserved by PR tirth8205#127) - --quiet and --json CLI flags - Search query deduplication, test function deprioritization - New [enrichment] optional dependency group for Jedi - 829+ tests across 26 test files (up from 615) Evaluated against Gadgetbridge (41k nodes, 280k edges): 8/10 PASS, call resolution rate improved from 28% to 39.6%.
gzenz
added a commit
to gzenz/code-review-graph
that referenced
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Apr 11, 2026
…izations Major improvements to code-review-graph spanning parser architecture, call graph accuracy, and build performance. Parser refactoring: - Extract 16 per-language handler modules into code_review_graph/lang/ using a strategy pattern, replacing monolithic conditionals in parser.py - Thread-safe parser caches with double-check locking Call graph enrichment: - Jedi-based Python method call resolution at build time (jedi_resolver.py) - Pre-scan filtering by project function names (36s to 3s on large repos) - Typed variable call enrichment (Python, JS/TS, Kotlin/Java) - Star import resolution, namespace imports, CommonJS require() - Angular template parsing, JSX handler tracking - Module-level import tracking and module-qualified call resolution - Function/class references passed as call arguments PreToolUse search enrichment: - New enrich.py module and code-review-graph enrich CLI command - Injects graph context (callers, flows, community, tests) into agent search results passively via hook Dead code false positive reduction: - Framework decorators recognized as entry points - CDK construct methods, abstract overrides excluded - E2e test directories excluded from dead code detection Performance: - Community detection: 48.6s to 2.3s (21x speedup) via bulk node loading and adjacency-indexed cohesion computation - Jedi enrichment: 36s to 3s (12x) via pre-scan filtering - Batch file storage (50-file transactions) - Batch risk_index (2 GROUP BY queries replace per-node loops) Other: - Weighted flow risk scoring by criticality - Transitive TESTED_BY lookup for tests_for and risk scoring - DB schema v8: composite edge index (v7 reserved by PR tirth8205#127) - --quiet and --json CLI flags - Search query deduplication, test function deprioritization - New [enrichment] optional dependency group for Jedi - 829+ tests across 26 test files (up from 615) Evaluated against Gadgetbridge (41k nodes, 280k edges): 8/10 PASS, call resolution rate improved from 28% to 39.6%.
gzenz
added a commit
to gzenz/code-review-graph
that referenced
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Apr 11, 2026
…izations Major improvements to code-review-graph spanning parser architecture, call graph accuracy, and build performance. Parser refactoring: - Extract 16 per-language handler modules into code_review_graph/lang/ using a strategy pattern, replacing monolithic conditionals in parser.py - Thread-safe parser caches with double-check locking Call graph enrichment: - Jedi-based Python method call resolution at build time (jedi_resolver.py) - Pre-scan filtering by project function names (36s to 3s on large repos) - Typed variable call enrichment (Python, JS/TS, Kotlin/Java) - Star import resolution, namespace imports, CommonJS require() - Angular template parsing, JSX handler tracking - Module-level import tracking and module-qualified call resolution - Function/class references passed as call arguments PreToolUse search enrichment: - New enrich.py module and code-review-graph enrich CLI command - Injects graph context (callers, flows, community, tests) into agent search results passively via hook Dead code false positive reduction: - Framework decorators recognized as entry points - CDK construct methods, abstract overrides excluded - E2e test directories excluded from dead code detection Performance: - Community detection: 48.6s to 2.3s (21x speedup) via bulk node loading and adjacency-indexed cohesion computation - Jedi enrichment: 36s to 3s (12x) via pre-scan filtering - Batch file storage (50-file transactions) - Batch risk_index (2 GROUP BY queries replace per-node loops) Other: - Weighted flow risk scoring by criticality - Transitive TESTED_BY lookup for tests_for and risk scoring - DB schema v8: composite edge index (v7 reserved by PR tirth8205#127) - --quiet and --json CLI flags - Search query deduplication, test function deprioritization - New [enrichment] optional dependency group for Jedi - 829+ tests across 26 test files (up from 615) Evaluated against Gadgetbridge (41k nodes, 280k edges): 8/10 PASS, call resolution rate improved from 28% to 39.6%.
gzenz
added a commit
to gzenz/code-review-graph
that referenced
this pull request
Apr 11, 2026
…izations Major improvements to code-review-graph spanning parser architecture, call graph accuracy, and build performance. Parser refactoring: - Extract 16 per-language handler modules into code_review_graph/lang/ using a strategy pattern, replacing monolithic conditionals in parser.py - Thread-safe parser caches with double-check locking Call graph enrichment: - Jedi-based Python method call resolution at build time (jedi_resolver.py) - Pre-scan filtering by project function names (36s to 3s on large repos) - Typed variable call enrichment (Python, JS/TS, Kotlin/Java) - Star import resolution, namespace imports, CommonJS require() - Angular template parsing, JSX handler tracking - Module-level import tracking and module-qualified call resolution - Function/class references passed as call arguments PreToolUse search enrichment: - New enrich.py module and code-review-graph enrich CLI command - Injects graph context (callers, flows, community, tests) into agent search results passively via hook Dead code false positive reduction: - Framework decorators recognized as entry points - CDK construct methods, abstract overrides excluded - E2e test directories excluded from dead code detection Performance: - Community detection: 48.6s to 2.3s (21x speedup) via bulk node loading and adjacency-indexed cohesion computation - Jedi enrichment: 36s to 3s (12x) via pre-scan filtering - Batch file storage (50-file transactions) - Batch risk_index (2 GROUP BY queries replace per-node loops) Other: - Weighted flow risk scoring by criticality - Transitive TESTED_BY lookup for tests_for and risk scoring - DB schema v8: composite edge index (v7 reserved by PR tirth8205#127) - --quiet and --json CLI flags - Search query deduplication, test function deprioritization - New [enrichment] optional dependency group for Jedi - 829+ tests across 26 test files (up from 615) Evaluated against Gadgetbridge (41k nodes, 280k edges): 8/10 PASS, call resolution rate improved from 28% to 39.6%.
gzenz
added a commit
to gzenz/code-review-graph
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Apr 11, 2026
…izations Major improvements to code-review-graph spanning parser architecture, call graph accuracy, and build performance. Parser refactoring: - Extract 16 per-language handler modules into code_review_graph/lang/ using a strategy pattern, replacing monolithic conditionals in parser.py - Thread-safe parser caches with double-check locking Call graph enrichment: - Jedi-based Python method call resolution at build time (jedi_resolver.py) - Pre-scan filtering by project function names (36s to 3s on large repos) - Typed variable call enrichment (Python, JS/TS, Kotlin/Java) - Star import resolution, namespace imports, CommonJS require() - Angular template parsing, JSX handler tracking - Module-level import tracking and module-qualified call resolution - Function/class references passed as call arguments PreToolUse search enrichment: - New enrich.py module and code-review-graph enrich CLI command - Injects graph context (callers, flows, community, tests) into agent search results passively via hook Dead code false positive reduction: - Framework decorators recognized as entry points - CDK construct methods, abstract overrides excluded - E2e test directories excluded from dead code detection Performance: - Community detection: 48.6s to 2.3s (21x speedup) via bulk node loading and adjacency-indexed cohesion computation - Jedi enrichment: 36s to 3s (12x) via pre-scan filtering - Batch file storage (50-file transactions) - Batch risk_index (2 GROUP BY queries replace per-node loops) Other: - Weighted flow risk scoring by criticality - Transitive TESTED_BY lookup for tests_for and risk scoring - DB schema v8: composite edge index (v7 reserved by PR tirth8205#127) - --quiet and --json CLI flags - Search query deduplication, test function deprioritization - New [enrichment] optional dependency group for Jedi - 829+ tests across 26 test files (up from 615) Evaluated against Gadgetbridge (41k nodes, 280k edges): 8/10 PASS, call resolution rate improved from 28% to 39.6%.
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Summary
edges(target_qualified, kind)andedges(source_qualified, kind)so summary, impact, and risk-oriented queries avoid unnecessary scans on larger graphsv7schema migration so existing databases pick up the new indexes automatically, not just fresh installsIssue
Some graph queries commonly filter on both a qualified symbol and the edge
kind, but the schema only had separate indexes for those columns. That meant SQLite could not optimize those lookups as effectively as it should, which can show up as avoidable work when generating summaries or running risk-related queries against bigger databases.Testing
uv run pytest tests/test_migrations.py tests/test_graph.py -q