-
Notifications
You must be signed in to change notification settings - Fork 0
CRQ-43: crq 010 dynamic information flow #14
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
base: main
Are you sure you want to change the base?
Conversation
WalkthroughUpdates task.md by replacing a prior one-line directive with a scaffold for CRQ-43/CRQ-010. It adds a top-level header, empty Objective and Description sections, and a reference link, and removes previous instructions to review SOPS/CRQs and PRs. No code or API signatures changed. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes Pre-merge checks (3 passed)✅ Passed checks (3 passed)
Poem
✨ Finishing touches🧪 Generate unit tests
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
PR Reviewer Guide 🔍Here are some key observations to aid the review process:
|
PR Code Suggestions ✨Explore these optional code suggestions:
|
||||||||||||||||||||||
|
please review this ticket, look at the crq and help us plan next steps |
|
@coderabbitai review |
✅ Actions performedReview triggered.
|
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Actionable comments posted: 2
🧹 Nitpick comments (1)
task.md (1)
1-1: Standardize title casing and identifier.Use consistent CRQ code formatting and title case.
-# Task for CRQ-43: crq 010 dynamic information flow +# Task for CRQ-43: CRQ-010 Dynamic Information Flow
| ## Objective | ||
|
|
||
|
|
||
| ## Description | ||
|
|
||
|
|
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
🛠️ Refactor suggestion
Populate Objective/Description with testable content and acceptance criteria.
These sections are empty; the task is not actionable.
## Objective
-
+Deliver a minimal, verifiable framework to model dynamic flow and influence of “memes” across repos, issues, PRs, and comms, producing actionable insights for planning.
## Description
-
+Scope:
+- Define data model for memes, actors, channels, events, and edges.
+- Implement initial metrics: influence score, flow velocity, damping/decay, and bottleneck detection.
+- Provide ingestion from Git history, issues/PRs, and commit metadata.
+
+Acceptance criteria:
+- Repo-level report with top influencers, high-friction paths, and early-warning candidates.
+- Deterministic CLI producing JSON and Markdown summary for a given repo and time window.
+- Unit tests for metric correctness; sample dataset + golden outputs committed.
+
+Deliverables:
+- crates: flow-core, flow-metrics, flow-ingest, flow-cli.
+- docs: architecture.md, data-contracts.md, metrics.md.
+
+Dependencies:
+- CRQ-003 Context Introspector artifacts; Git submodule collector JSON.
+
+Out of scope:
+- Physical fluid dynamics modeling; speculative philosophy.
+
+Next steps:
+1) Finalize data contracts/interfaces.
+2) Build ingest pipeline MVP.
+3) Implement influence + velocity metrics and reports.
+4) Wire CI with sample dataset and benchmarks.📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| ## Objective | |
| ## Description | |
| ## Objective | |
| Deliver a minimal, verifiable framework to model dynamic flow and influence of “memes” across repos, issues, PRs, and comms, producing actionable insights for planning. | |
| ## Description | |
| Scope: | |
| - Define data model for memes, actors, channels, events, and edges. | |
| - Implement initial metrics: influence score, flow velocity, damping/decay, and bottleneck detection. | |
| - Provide ingestion from Git history, issues/PRs, and commit metadata. | |
| Acceptance criteria: | |
| - Repo-level report with top influencers, high-friction paths, and early-warning candidates. | |
| - Deterministic CLI producing JSON and Markdown summary for a given repo and time window. | |
| - Unit tests for metric correctness; sample dataset + golden outputs committed. | |
| Deliverables: | |
| - crates: flow-core, flow-metrics, flow-ingest, flow-cli. | |
| - docs: architecture.md, data-contracts.md, metrics.md. | |
| Dependencies: | |
| - CRQ-003 Context Introspector artifacts; Git submodule collector JSON. | |
| Out of scope: | |
| - Physical fluid dynamics modeling; speculative philosophy. | |
| Next steps: | |
| 1) Finalize data contracts/interfaces. | |
| 2) Build ingest pipeline MVP. | |
| 3) Implement influence + velocity metrics and reports. | |
| 4) Wire CI with sample dataset and benchmarks. |
🤖 Prompt for AI Agents
In task.md around lines 3 to 8, the Objective and Description sections are
empty; populate them with a concise, testable Objective statement (what outcome
is expected), a clear Description describing the steps, constraints and
implementation approach, and add explicit Acceptance Criteria as bullet-style
testable items (e.g., given/when/then scenarios, input/output expectations,
pass/fail conditions). Ensure each criterion is measurable and includes any
required inputs, expected outputs, success thresholds, and edge cases so the
task is actionable and verifiable.
| ## Description | ||
|
|
||
|
|
||
| Refer to /data/data/com.termux.nix/files/home/pick-up-nix/source/github/meta-introspector/submodules/docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md for full details. |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
💡 Verification agent
🧩 Analysis chain
Replace absolute local path with repo-relative Markdown link (portability + leak).
Current path is Android Termux–specific and broken for collaborators; it also leaks a local filesystem layout.
-Refer to /data/data/com.termux.nix/files/home/pick-up-nix/source/github/meta-introspector/submodules/docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md for full details.
+Refer to [CRQ-43: CRQ-010 Dynamic Information Flow](submodules/docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md) for full details.Run to verify the path and adjust if needed:
🏁 Script executed:
#!/bin/bash
set -euo pipefail
fd -a 'CRQ-43-crq-010-dynamic-information-flow.md' -t f -I || true
rg -n 'CRQ-010|dynamic information flow' -g 'submodules/**/CRQ-43*' -n -S || trueLength of output: 232
Replace absolute local path with repo-relative Markdown link (portability + leak).
File: task.md (line 9) — Absolute Android/Termux path leaks local filesystem and breaks for collaborators; use a repo-relative Markdown link instead.
-Refer to /data/data/com.termux.nix/files/home/pick-up-nix/source/github/meta-introspector/submodules/docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md for full details.
+Refer to [CRQ-43: CRQ-010 Dynamic Information Flow](docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md) for full details.Verified file exists at docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| Refer to /data/data/com.termux.nix/files/home/pick-up-nix/source/github/meta-introspector/submodules/docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md for full details. | |
| Refer to [CRQ-43: CRQ-010 Dynamic Information Flow](docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md) for full details. |
🤖 Prompt for AI Agents
In task.md around line 9, the line currently contains an absolute Termux/Android
path that leaks a local filesystem and is not portable; replace it with a
repo-relative Markdown link to the verified file
(docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md) so the text
reads as a standard Markdown link to that path (use the file name as the link
text and the repo-relative path as the target).
User description
CRQ-43-crq-010-dynamic-information-flow.md
Change Request: crq 010 dynamic information flow
Change Request (CRQ)
Title: Dynamic Information Flow and Influence Modeling (Inspired by Navier-Stokes & Multivector Concepts)
Description:
This change requests the development of an advanced analytical framework and tooling to model the dynamic flow and influence of information, ideas, and tasks ("memes") within the project's strategic direction (the "eigenvector"). Drawing inspiration from complex systems like Navier-Stokes flow and multivector concepts, this initiative aims to understand how various project elements propagate, interact, and transform across different dimensions (technical, business, social, historical). The goal is to move beyond static dependency mapping to a dynamic understanding of project momentum, identifying key influencers, bottlenecks, and emergent properties in the flow of work and knowledge.
Justification/Business Value:
Scope:
Impact:
Dependencies:
Effort/Timeline:
Verification:
PR Type
Enhancement
Description
• Implemented comprehensive Lattice Idea Framework for dynamic information flow analysis and modeling
• Created multiple Rust applications and libraries for lattice-based classification, code generation, and repository analysis
• Added Git submodule collection and analysis tools with JSON reporting capabilities
• Developed predicate-based text analysis and n-gram processing systems
• Enhanced development environment with Nix flake improvements, valgrind support, and comprehensive tooling
• Added extensive GitHub CLI wrapper scripts for workflow automation
• Created structured testing framework documentation and scalable analysis methodologies
• Implemented meta-lattice models for framework self-analysis and similarity detection
• Added comprehensive test coverage and benchmarking infrastructure
Diagram Walkthrough
File Walkthrough
3 files
flake.nix
Enhanced Nix flake with submodule-collector package and developmenttoolsflake.nix
• Removed empty line at the beginning of the file
• Added new
submodule-collectorpackage derivation with Rust build configuration•
Added development tools including jq, valgrind, and various Emacs
packages for Rust development
• Added shell formatting and linting
tools (shellcheck, shfmt, nixpkgs-fmt)
shell.nix
Added valgrind to development shell dependenciesshell.nix
• Added
pkgs.valgrindto the buildInputs for memory profilingcapabilities
submodule_report.json
Complete submodule repository mapping and dependency reportsubmodule_report.json
• Added comprehensive JSON report mapping 2021 repositories with their
paths, URLs, and submodule structures
• Includes detailed submodule
hierarchies for complex projects like lattice-introspector,
minizinc-introspector, and git-submodule-tools-rs
• Documents
extensive dependency relationships across meta-introspector ecosystem
projects
56 files
lib.rs
Lattice framework code generation library implementationlattice_code_generator/src/lib.rs
• Implemented comprehensive code generation utilities for the Lattice
Idea Framework
• Added functions to generate
ValueTypeenum,Instancestruct,
LatticeLayerstruct, andLatticestruct• Included trait
definitions and implementations for
HasValueCount• Added extensive
test coverage for the generated code validation
main.rs
Git submodule collector tool implementationsubmodule-collector/src/main.rs
• Implemented command-line tool for scanning Git repositories and
submodules recursively
• Added comprehensive data structures for
repository and submodule information
• Included error handling and
JSON report generation functionality
• Processes nested submodules
with detailed metadata collection
main.rs
Project file lattice classification systemproject_file_lattice_builder/src/main.rs
• Created conceptual lattice builder for project files classification
• Implemented predicate-based file analysis using word predicates
•
Added file classification into lattice hierarchy based on content and
path
• Included comprehensive test coverage for predicate extraction
logic
lattice_mapper_app.rs
Lattice-based code mapping and similarity analysissrc/lattice_mapper_app.rs
• Implemented lattice mapping application for code similarity analysis
• Added predicate-based classification logic for existing code
•
Created conceptual framework for mapping code into pre-generated
lattice structures
• Included similarity scoring based on shared
predicates
lattice_types.rs
Core lattice type system implementationsrc/lattice_types.rs
• Defined comprehensive type system for the Lattice Idea Framework
•
Implemented
ValueTypeenum with support for different k-value types•
Added generic
Instance,LatticeLayer, andLatticestructures•
Included trait definitions and demonstration usage examples
repo_search_simulator.rs
Repository search simulation with lattice classificationsrc/repo_search_simulator.rs
• Created repository search simulation using predicate-based
classification
• Implemented mock repository analysis with similarity
scoring
• Added lattice-based representation of classified
repositories
• Included search-by-example functionality demonstration
meta_lattice_model.rs
Meta-lattice model for framework self-analysissrc/meta_lattice_model.rs
• Implemented self-referential meta-model of the Lattice Idea
Framework
• Added conceptual analysis and similarity detection
capabilities
• Created framework for comparing different lattice
models
• Included demonstration of meta-modeling concepts
analyze_strings.rs
Advanced string analysis with n-gram processingreport-analyzer-rs/src/analyze_strings.rs
• Implemented comprehensive string analysis with token frequency
counting
• Added n-gram generation and analysis with iterative
compression
• Included emoji ontology integration for token
visualization
• Added suggested rules generation based on analysis
results
lattice_classifier_app.rs
Lattice classification application for text analysissrc/lattice_classifier_app.rs
• Created lattice-based classification application for text snippets
•
Implemented predicate extraction and word-based classification
• Added
conceptual lattice representation for classified items
• Included
search-by-example demonstration functionality
lib.rs
Git project information reader librarygit_project_reader/src/lib.rs
• Implemented Git project information collection library
• Added
functions to retrieve tracked files and git status
• Included
comprehensive error handling and test coverage
• Created data
structures for Git project metadata
grand_unified_search.rs
Grand unified search system conceptual frameworksrc/grand_unified_search.rs
• Created conceptual outline for grand unified search system
• Added
placeholder implementations for code parsing and LLM interaction
•
Included submodule tool integration concepts
• Implemented
self-analysis and similarity detection framework
lattice_model.rs
Core lattice model type definitionssrc/lattice_model.rs
• Implemented core lattice model with
ValueTypeenum and traitdefinitions
• Added
Instance,LatticeLayer, andLatticestructures•
Included
WordPredicateandPredicateClassifierfor text analysis•
Created foundational types for the lattice framework
word_predicate_analyzer.rs
Word predicate analyzer with lattice integrationsrc/word_predicate_analyzer.rs
• Implemented word predicate analysis using lattice type definitions
•
Added text tokenization and vocabulary-based predicate extraction
•
Included n-gram generation for predicate sequences
• Created
demonstration of lattice-based text analysis
main.rs
Lattice structure generator for code organizationlattice_structure_generator/src/main.rs
• Created lattice structure generator for hierarchical code
organization
• Implemented directory structure generation based on
lattice parameters
• Added conceptual mapping framework for existing
code classification
• Included file generation utilities for lattice
components
lib.rs
ZOS lattice builder integration in main librarysrc/lib.rs
• Added
build_zos_latticefunction for project file classification•
Integrated lattice model with predicate-based file analysis
•
Implemented multi-layer lattice construction for different file types
• Added comprehensive file classification logic
main.rs
Lattice code generator applicationlattice_generator_app/src/main.rs
• Created application for generating lattice code structures
•
Implemented file generation for all lattice components
• Added
organized output directory structure for generated code
• Included
comprehensive code generation pipeline
analyze_names.rs
Repository name analysis functionalityreport-analyzer-rs/src/analyze_names.rs
• Implemented name analysis functionality for repository reports
•
Added regex-based repository name extraction from URLs
• Included
submodule name collection and frequency counting
• Created
comprehensive name analysis for Git repositories
main.rs
Main entry point for report analyzer applicationreport-analyzer-rs/src/main.rs
• Creates main entry point for report analyzer with command-line
argument parsing
• Implements basic report loading and statistics
display functionality
• Comments out missing function calls and
integrates with
analyze_stringsmoduleprogram_self_description.rs
Self-describing program with predicate-based frameworksrc/program_self_description.rs
• Implements self-describing program demonstrating predicate-based
analysis
• Contains functions for self-description and finding similar
programs
• Demonstrates meta-assertion about program's
self-referential capacity
lcp.rs
Longest common prefix analysis implementationreport-analyzer-rs/src/lcp.rs
• Implements longest common prefix analysis for repository paths and
URLs
• Provides functions to find LCP and perform analysis on report
data
• Includes printing functionality for LCP results
types.rs
Core data structures and CLI argument definitionsreport-analyzer-rs/src/types.rs
• Defines core data structures for submodule reporting system
•
Implements serializable structs for repository info, failed repos, and
reports
• Adds command-line argument parsing with
clapintegrationvalue_type.rs
Generated lattice value type definitionsgenerated_lattice_code/value_type.rs
• Defines
ValueTypeenum with various prime-based value types•
Implements methods for counting values and generating ZOS sequence
•
Single-line compressed format for generated lattice code
value_type.rs
Generated lattice structure value type definitionsgenerated_lattice_structure/value_type.rs
• Identical to generated_lattice_code version with same
ValueTypeenum• Provides value counting and ZOS sequence functionality
• Single-line
compressed format for generated structure code
analyze_orgs.rs
GitHub organization analysis functionalityreport-analyzer-rs/src/analyze_orgs.rs
• Implements organization analysis from GitHub URLs using regex
•
Extracts organization names from repository URLs and failed
repositories
• Returns frequency count of organizations found in
report data
lattice_struct.rs
Generated lattice main structure definitionsgenerated_lattice_code/lattice_struct.rs
• Defines main
Latticestruct with dynamic layer management•
Implements trait-based layer system for polymorphic layer handling
•
Single-line compressed format for generated lattice structure code
lattice_struct.rs
Generated lattice structure main definitionsgenerated_lattice_structure/lattice_struct.rs
• Identical to generated_lattice_code version with same
Latticestruct• Provides trait-based layer management and description functionality
• Single-line compressed format for generated structure code
instance_struct.rs
Generated lattice instance structure definitionsgenerated_lattice_code/instance_struct.rs
• Defines
Instancestruct for representing n-gram instances in lattice• Implements constructor and description methods for instances
•
Single-line compressed format for generated instance code
instance_struct.rs
Generated lattice structure instance definitionsgenerated_lattice_structure/instance_struct.rs
• Identical to generated_lattice_code version with same
Instancestruct
• Provides n-gram instance representation and description
functionality
• Single-line compressed format for generated structure
code
lattice_layer_struct.rs
Generated lattice layer structure definitionsgenerated_lattice_code/lattice_layer_struct.rs
• Defines
LatticeLayerstruct for managing instances by value type•
Implements layer creation, instance addition, and description methods
• Single-line compressed format for generated layer code
lattice_layer_struct.rs
Generated lattice structure layer definitionsgenerated_lattice_structure/lattice_layer_struct.rs
• Identical to generated_lattice_code version with same
LatticeLayerstruct
• Provides layer management and instance organization
functionality
• Single-line compressed format for generated structure
code
duplicates.rs
Duplicate repository URL analysis functionalityreport-analyzer-rs/src/duplicates.rs
• Implements duplicate URL detection and analysis for repositories
•
Provides functions to analyze and print duplicate repository URLs
•
Maps URLs to their associated paths for duplicate identification
input.rs
Input handling and data loading functionalityreport-analyzer-rs/src/input.rs
• Implements input handling for command-line arguments and data
loading
• Provides functions for parsing arguments and loading
report/ontology data
• Handles optional ontology file loading with
error handling
apply_emojis.rs
Emoji ontology text transformation functionalityreport-analyzer-rs/src/apply_emojis.rs
• Implements emoji ontology application for text transformation
•
Replaces text keys with corresponding emoji values from ontology
•
Sorts keys by length to handle overlapping replacements correctly
names_analysis.rs
Repository name frequency analysis functionalityreport-analyzer-rs/src/names_analysis.rs
• Implements repository/submodule name frequency analysis
• Sorts
names by frequency and displays top 10 with emoji ontology
• Handles
cases where no names are found in the data
org_analysis.rs
Organization frequency analysis with emoji supportreport-analyzer-rs/src/org_analysis.rs
• Implements organization frequency analysis with emoji ontology
support
• Sorts organizations by frequency and displays top 10 results
• Handles cases where no organizations are found in the data
instance_0.rs
Generated k=2 layer instance 0 placeholdergenerated_lattice_structure/layer_k_2/instance_0.rs
• Placeholder file for instance 0 in k=2 layer with basic comments
•
Indicates future implementation for 2-value type instances
• Part of
generated lattice structure organization
instance_1.rs
Generated k=2 layer instance 1 placeholdergenerated_lattice_structure/layer_k_2/instance_1.rs
• Placeholder file for instance 1 in k=2 layer with basic comments
•
Indicates future implementation for 2-value type instances
• Part of
generated lattice structure organization
instance_0.rs
Generated k=3 layer instance 0 placeholdergenerated_lattice_structure/layer_k_3/instance_0.rs
• Placeholder file for instance 0 in k=3 layer with basic comments
•
Indicates future implementation for 3-value type instances
• Part of
generated lattice structure organization
instance_1.rs
Generated k=3 layer instance 1 placeholdergenerated_lattice_structure/layer_k_3/instance_1.rs
• Placeholder file for instance 1 in k=3 layer with basic comments
•
Indicates future implementation for 3-value type instances
• Part of
generated lattice structure organization
has_value_count_impls.rs
Generated HasValueCount trait implementation for boolgenerated_lattice_code/has_value_count_impls.rs
• Implements
HasValueCounttrait forbooltype returning value 2•
Single-line compressed format for generated trait implementation
•
Provides foundation for value counting in lattice system
has_value_count_impls.rs
Generated structure HasValueCount trait implementationgenerated_lattice_structure/has_value_count_impls.rs
• Identical to generated_lattice_code version with same trait
implementation
• Implements
HasValueCountforboolwith value count of2
• Single-line compressed format for generated structure code
has_value_count_trait.rs
Generated HasValueCount trait definitiongenerated_lattice_code/has_value_count_trait.rs
• Defines
HasValueCounttrait withvalue_countmethod• Single-line
compressed format for generated trait definition
• Core trait for
lattice value counting functionality
has_value_count_trait.rs
Generated structure HasValueCount trait definitiongenerated_lattice_structure/has_value_count_trait.rs
• Identical to generated_lattice_code version with same trait
definition
• Defines
HasValueCounttrait for value countingfunctionality
• Single-line compressed format for generated structure
code
standardize_and_move_crqs.sh
CRQ file standardization and organization scripttools/gh_scripts/standardize_and_move_crqs.sh
• Comprehensive bash script for standardizing CRQ file naming and
headers
• Implements dry-run mode and robust CRQ number calculation
•
Handles conforming/non-conforming filenames and headers with
sanitization
create_crq_workflow.sh
Automated CRQ workflow creation scripttools/gh_scripts/create_crq_workflow.sh
• Automates CRQ workflow creation including branch creation and PR
setup
• Extracts CRQ information and creates task.md files
•
Integrates with GitHub CLI for automated pull request creation
boot.sh
Development session orchestration and crash recoveryboot.sh
• Orchestrates tmux session recording with asciinema for development
workflow
• Implements crash recovery checks with git status and log
processing
• Configures session management and logging infrastructure
gh_extract_actors.sh
GitHub actor extraction utility scripttools/gh_scripts/gh_extract_actors.sh
• Extracts unique actors from GitHub issues and comments using GitHub
CLI
• Processes JSON data with
jqto identify all contributors•
Provides option to save actor list to file
gh_workflows_view.sh
GitHub workflow run viewer scripttools/gh_scripts/gh_workflows_view.sh
• Simple wrapper script for viewing GitHub Actions workflow run
details
• Validates run ID parameter and passes through to
gh run view• Part of GitHub workflow management utilities
gh_workflows_rerun.sh
GitHub workflow re-run utility scripttools/gh_scripts/gh_workflows_rerun.sh
• Simple wrapper script for re-running GitHub Actions workflow runs
•
Validates run ID parameter and passes through to
gh run rerun• Part
of GitHub workflow management utilities
gh_issues_view.sh
GitHub issue viewer scripttools/gh_scripts/gh_issues_view.sh
• Simple wrapper script for viewing GitHub issue details
• Validates
issue number parameter and passes through to
gh issue view• Part of
GitHub issue management utilities
gh_prs_view.sh
GitHub pull request viewer scripttools/gh_scripts/gh_prs_view.sh
• Simple wrapper script for viewing GitHub pull request details
•
Validates PR number parameter and passes through to
gh pr view• Part
of GitHub PR management utilities
gh_prs_checkout.sh
GitHub pull request checkout scripttools/gh_scripts/gh_prs_checkout.sh
• Simple wrapper script for checking out GitHub pull requests locally
• Validates PR number parameter and passes through to
gh pr checkout•
Part of GitHub PR management utilities
gh_prs_create.sh
GitHub pull request creation scripttools/gh_scripts/gh_prs_create.sh
• Simple wrapper script for creating new GitHub pull requests
• Passes
all arguments through to
gh pr createcommand• Part of GitHub PR
management utilities
gh_issues_create.sh
GitHub issue creation scripttools/gh_scripts/gh_issues_create.sh
• Simple wrapper script for creating new GitHub issues
• Passes all
arguments through to
gh issue createcommand• Part of GitHub issue
management utilities
gh_workflows_list.sh
GitHub workflow listing scripttools/gh_scripts/gh_workflows_list.sh
• Simple wrapper script for listing GitHub Actions workflow runs
•
Passes all arguments through to
gh run listcommand• Part of GitHub
workflow management utilities
gh_prs_list.sh
GitHub pull request listing scripttools/gh_scripts/gh_prs_list.sh
• Simple wrapper script for listing GitHub pull requests
• Passes all
arguments through to
gh pr listcommand• Part of GitHub PR management
utilities
5 files
git-config-parser.rs
Enhanced git config parser with comprehensive testssrc/bin/git-config-parser.rs
• Added comprehensive test coverage for git config parsing
functionality
• Included tests for empty configs, comments, multiple
sections, and submodules
• Added validation for both basic git config
and git modules parsing
my_profiling_bench.rs
Performance profiling benchmarks setupbenches/my_profiling_bench.rs
• Sets up profiling benchmarks using
iai_callgrindfor performanceanalysis
• Includes benchmarks for
addfunction and dummy git configparsing
• Configures benchmark groups and main entry point
main_execution_test.rs
Integration test for project file lattice builderproject_file_lattice_builder/tests/main_execution_test.rs
• Creates integration test for project file lattice builder binary
execution
• Verifies binary exists and runs successfully with expected
output
• Tests for specific output strings to validate functionality
main_execution_test.rs
Integration test for submodule collector binarysubmodule-collector/tests/main_execution_test.rs
• Creates integration test for submodule collector binary execution
•
Tests binary with
--helpflag to verify basic functionality•
Validates expected help message content in output
main.rs
Git repository testing applicationgit_test_repo/src/main.rs
• Creates simple Git repository testing application using
git2crate•
Attempts to open repository at current directory and reports success
•
Provides basic Git repository validation functionality
5 files
structured_testing_framework.md
Structured testing framework for lattice-based knowledge extractiondocs/structured_testing_framework.md
• Introduced lattice-guided test case generation methodology for
systematic knowledge extraction
• Defined predicate-driven assertions
and layered evaluation approaches
• Outlined test construction for
different lattice layers (bit-based predicates, n-gram topologies,
multi-layered complexity)
• Described automated execution and lattice
mapping analysis framework
CRQ-003-deep-dive-and-reflection-on-nix-development-environment-graph.md
Deep dive analysis framework for Nix dependency graphsdocs/crq_standardized/CRQ-003-deep-dive-and-reflection-on-nix-development-environment-graph.md
• Defined comprehensive analysis methodology for Nix development
environment dependency graphs
• Outlined systematic examination of
nodes, edges, and transitive dependencies
• Specified reflection
documentation requirements for graph structure insights
• Included
partial progress notes on
devshell_graph.dotfile analysisCRQ-53-recursive-decomposition.md
Recursive decomposition methodology for nested n-gram analysisdocs/crq_standardized/CRQ-53-recursive-decomposition.md
• Explained recursive decomposition concept for nested n-gram analysis
within lattice framework
• Provided examples of hierarchical breakdown
using
zosprime sequence patterns• Detailed significance for
unpacking complexity and identifying fundamental building blocks
•
Described cross-layer grounding and algorithmic discovery capabilities
scalable_analysis_of_large_repositories.md
Scalable repository analysis framework for large-scale codebasesdocs/scalable_analysis_of_large_repositories.md
• Outlined scalable analysis approach for massive code repositories
(10,000 submodules)
• Described hierarchical decomposition and n-gram
compression for complexity management
• Detailed distributed
processing strategies using local LLMs for contextual grounding
•
Explained fixed point search methodology for optimal classification
convergence
section_combinatorial_analysis.tex
Combinatorial analysis section for framework documentationlatex_sections/section_combinatorial_analysis.tex
• Added LaTeX section describing combinatorial analysis within the
framework
• Explained high-dimensional space of possibilities from
multiple topologies and functions
• Referenced
8^8 timescomplexityand
2^2pair selection concepts101 files
Summary by CodeRabbit