Remove dead code and fix linting issues #2
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- Add .coderabbit.yaml with security-focused configuration - Configure path-specific instructions for different code areas - Add auto-approval for small, safe changes - Include ContextForge Memory-specific review prompts - Add comprehensive setup guide for CodeRabbit AI - Optimize for security, performance, and code quality reviews
Security fixes: - Fix pip version constraint from >=25.0 to >=25.2 (GHSA-4xh5-x5gv-qwph) - Add explicit starlette==0.48.0 to requirements.txt - Pin fastapi to exact version 0.119.0 for reproducibility CI workflow improvements: - Remove duplicate dependency installation (safety/pip-audit now in requirements.txt) - Remove ad-hoc dependency upgrades from CI - Replace deprecated 'safety check' with 'safety scan' - Use continue-on-error instead of shell || true for cleaner JSON output Performance optimizations: - Remove unused _score computation in search function - Fix redundant query embedding computation in sort key - Reuse precomputed query_vec instead of recomputing for each item Code quality: - Add safety-results.json and audit-results.json to .gitignore - Remove committed safety-results.json artifact file - Ensure all dependencies are properly pinned for reproducibility All CodeRabbit AI suggestions have been implemented.
- Remove .coderabbit.yaml (system-specific configuration) - Remove CODERABBIT_SETUP.md (setup documentation) - Keep CodeRabbit AI integration but use default settings - Configuration should be managed at user/organization level, not in repo
- Remove unused score function from main.py (dead code) - Fix flake8 line length issues in Python client - Fix markdownlint issues across all markdown files: - Break long lines to comply with 80-character limit - Add proper spacing around headings and lists - Fix code block spacing issues - All linting tools now pass without errors
WalkthroughAdds a CodeRabbit AI review config; updates CI to run and upload security audits with a failure-reporting step; pins/introduces dependencies; removes a stored safety-results.json artifact; applies documentation and client formatting; and refactors the memory service to precompute per-item embeddings and sort by distance for queries. Changes
Sequence Diagram(s)sequenceDiagram
participant Scanner as File Scanner
participant Encoder as Embedding Engine
participant Store as items_with_embeddings
participant Querier as Query Handler
participant Sorter as Sort & Return
rect rgb(248,250,252)
Note over Scanner,Sorter: Old flow — per-item embedding & scoring
Scanner->>Encoder: compute embedding for item N
Encoder->>Querier: score item N vs query embedding
Querier->>Sorter: accumulate scored item N
end
rect rgb(237,247,237)
Note over Scanner,Sorter: New flow — precompute embeddings once
Scanner->>Encoder: compute embeddings for all items
Encoder->>Store: store (MemoryItem, embedding) pairs
Querier->>Encoder: compute query embedding
Store->>Sorter: compute distances between query and stored embeddings
Sorter->>Sorter: sort distances & extract top_k MemoryItems
end
sequenceDiagram
participant CI as GitHub Actions
participant Scanner as security scanners
participant Artifacts as Artifact Store
participant Notifier as Failure Notifier
CI->>Scanner: run `safety scan --json > safety-results.json` and `pip-audit --format=json --output=audit-results.json` (continue-on-error)
Scanner->>Artifacts: upload `safety-results.json` & `audit-results.json` as security-audit-results
alt scanner failure
CI->>Notifier: run failure step (on: failure())
Notifier-->>CI: read & print grouped audit outputs if present (handles missing files)
end
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Possibly related PRs
Poem
Pre-merge checks and finishing touches✅ Passed checks (3 passed)
✨ Finishing touches🧪 Generate unit tests (beta)
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🧹 Nitpick comments (3)
src/contextforge_memory/main.py (1)
90-114: Consider scalability for large datasets.The current implementation loads all matching items into memory before sorting. For repositories with many items per namespace/project, this could cause memory pressure.
For production use with large datasets, consider:
- Adding pagination support to limit results
- Implementing a heap-based top-k selection to avoid sorting all items
- Adding observability metrics to track item counts per namespace
.coderabbit.yaml (1)
18-35: Ignore patterns are comprehensive but verify necessity.The ignore section defines reasonable patterns for Python artifacts, build outputs, and cache directories. However, verify:
- Are
safety-results.jsonandaudit-results.json(lines 29-30) intentionally excluded from review, given the new CI artifacts? These should likely be reviewed or explicitly documented as generated artifacts.- The
data/andlogs/directories (lines 26-27) are broad; consider if version control should exclude these at.gitignorelevel instead.Consider documenting why security result JSON files are ignored, as they're now being generated and uploaded as CI artifacts (per
.github/workflows/ci.ymlchanges)..github/workflows/ci.yml (1)
43-60: Security audit notification step has redundant condition and could improve error handling.Line 44:
if: failure() && steps.security-audit.outcome == 'failure'Issues:
- The
failure()context condition is redundant; if the step outcome is 'failure', thefailure()context is already true.- Simpler condition:
if: steps.security-audit.outcome == 'failure'Additionally:
- The graceful file-not-found handling (lines 48-51, 55-58) is good, but if results are missing, it may indicate the tools didn't run properly. Consider logging a warning for this case.
Simplify the condition and add explicit logging for missing audit files:
- name: Security audit failure notification if: steps.security-audit.outcome == 'failure' run: | echo "::warning::Security audit failed! Check the security-audit-results artifact for details." echo "::group::Safety scan results" if [ -f safety-results.json ]; then cat safety-results.json else echo "::warning::safety-results.json not found - safety scan may not have executed" fi echo "::endgroup::" echo "::group::Pip audit results" if [ -f audit-results.json ]; then cat audit-results.json else echo "::warning::audit-results.json not found - pip-audit may not have executed" fi echo "::endgroup::"
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.coderabbit.yaml(1 hunks).github/workflows/ci.yml(2 hunks).gitignore(1 hunks)CODE_OF_CONDUCT.md(2 hunks)CONTRIBUTING.md(4 hunks)README.md(1 hunks)SECURITY.md(3 hunks)clients/python/contextforge_client.py(2 hunks)requirements.txt(2 hunks)safety-results.json(0 hunks)src/contextforge_memory/main.py(2 hunks)
💤 Files with no reviewable changes (1)
- safety-results.json
🧰 Additional context used
🧬 Code graph analysis (2)
src/contextforge_memory/main.py (1)
clients/typescript/contextforgeClient.ts (1)
MemoryItem(1-8)
clients/python/contextforge_client.py (2)
src/contextforge_memory/main.py (1)
search(83-114)clients/typescript/contextforgeClient.ts (1)
search(33-41)
🪛 LanguageTool
CODE_OF_CONDUCT.md
[style] ~30-~30: Try using a synonym here to strengthen your wording.
Context: ...ind * Trolling, insulting or derogatory comments, and personal or political attacks * Pu...
(COMMENT_REMARK)
README.md
[uncategorized] ~36-~36: The official name of this software platform is spelled with a capital “H”.
Context: ...sic import smoke in GitHub Actions (see .github/workflows/ci.yml).
(GITHUB)
🔇 Additional comments (17)
.gitignore (1)
18-20: LGTM!The additions properly exclude security scan artifacts generated by the CI workflow, maintaining a clean working directory.
README.md (1)
1-36: LGTM! Documentation structure improved.The formatting changes and new sections enhance readability and provide better structure for users.
CODE_OF_CONDUCT.md (1)
1-129: LGTM!The formatting adjustments improve readability without changing the content or meaning.
CONTRIBUTING.md (1)
1-188: LGTM!The formatting adjustments improve consistency and comply with Markdownlint rules without altering the content.
clients/python/contextforge_client.py (3)
17-22: LGTM!The line breaks improve compliance with line-length limits without changing functionality.
24-26: LGTM!The multi-line method signature improves readability and meets linting standards.
37-42: LGTM!The line breaks improve compliance with line-length limits without changing functionality.
SECURITY.md (1)
1-57: LGTM!The formatting adjustments improve readability without changing the security policy content.
src/contextforge_memory/main.py (3)
90-103: Efficient precomputation of embeddings.The refactor correctly precomputes embeddings during the filtering pass, eliminating redundant computations during sorting.
105-110: Correct L2 distance sorting.The sort key correctly uses negative squared L2 distance to rank items by similarity (smallest distance first).
113-113: Verify themax(1, req.top_k)behavior.The use of
max(1, req.top_k)forces at least one result even whentop_k=0. This might be unexpected behavior—users might expect zero results when explicitly requestingtop_k=0.Consider whether the minimum-one-result behavior is intentional:
- results = [item for item, _ in items_with_embeddings[: max(1, req.top_k)]] + results = [item for item, _ in items_with_embeddings[: max(0, req.top_k)]]Or add validation to enforce
top_k >= 1in the SearchRequest model:class SearchRequest(BaseModel): namespace: str project_id: str query: str top_k: int = Field(default=5, ge=1) # Enforce minimum of 1requirements.txt (3)
1-1: FastAPI version is current and secure—no action needed.Verification confirms that fastapi==0.119.0 is the latest version on PyPI and is not affected by known security vulnerabilities. The two disclosed advisories (CSRF and Content-Type Header ReDoS) both target older versions and are already patched in 0.119.0.
5-5: NumPy 2.1.1 is secure; consider updating for currency.The pinned version numpy==2.1.1 is not affected by the listed security advisories (which target older versions such as 1.x releases). However, the latest stable version is 2.3.4, making 2.1.1 two minor versions behind. If compatibility with your codebase and dependencies allows, updating to the latest version would improve currency. Otherwise, the current version is secure for use.
10-10: Starlette 0.48.0 is current, secure, and compatible with FastAPI 0.119.0.Starlette 0.48.0 is the latest version on PyPI. All known CVEs for Starlette are patched in 0.48.0, including advisories for multipart DoS, form field vulnerabilities, path traversal, and header ReDoS attacks. FastAPI 0.119.0 supports Starlette >=0.40.0,<0.49.0, confirming full compatibility with the pinned version.
.coderabbit.yaml (1)
90-103: Auto-approval conditions may be overly permissive; clarify intent.The
auto_approvesection enables approval whensmall_changeand other conditions are met. Confirm:
- Does "small_change" have a defined threshold (lines of code, files changed)? If not, any PR could potentially auto-approve.
- Given the new security audit step, consider whether security scan results (safety/pip-audit) should be an explicit approval condition rather than relying on
ci_passes.Clarify the definition of
small_changeand whether it should explicitly include "security_audit_passes" as a condition..github/workflows/ci.yml (2)
29-34: Security audit step design allows workflow to pass despite vulnerabilities.The combination of
continue-on-error: true(line 31) and security scanning commands (lines 33-34) means:
- Security vulnerabilities detected by
safetyorpip-auditwill not fail the workflow- Results are collected in JSON artifacts for visibility but do not block merging
Confirm this is intentional security posture. If vulnerabilities should block merges, either:
- Remove
continue-on-error: trueand handle failures explicitly, or- Add a separate step that parses JSON results and fails if issues exceed a threshold
Clarify whether the workflow should fail on security findings or only report them.
36-42: Artifact upload configuration is solid.The
if: always()and multi-path artifact collection ensures security scan results are captured regardless of outcome. This supports the audit trail and debugging workflow. Good practice.
- Move tone from review.tone to top-level tone_instructions - Move path_instructions under reviews section - Replace ignore.paths with reviews.path_filters using ! prefix - Remove unsupported custom sections (behavior, security, performance, integrations, custom_prompts) - Restructure to match official CodeRabbit schema requirements - Preserve all review guidance content in properly formatted structure
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.coderabbit.yaml (1)
31-39: Consider enabling additional review tools for broader coverage (optional improvement).The
path_instructionsare focused and practical. As a nice-to-have, you might evaluate enabling additionalreviews.tools(e.g.,gitleaksfor secrets,semgreporcheckovfor infrastructure code) if not already configured in CodeRabbit's UI. This would complement the security-focused tone and align with the PR's emphasis on linting and audit.Also applies to: 42-49, 52-59, 62-69, 71-78, 81-96, 97-109
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.coderabbit.yaml(1 hunks)
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.coderabbit.yaml (2)
1-109: Configuration structure now aligns with the official CodeRabbit schema—excellent fix.The file correctly implements the official YAML structure: top-level
tone_instructions, nestedreviewssection withpath_filtersandpath_instructionsarrays, each item properly typed. This addresses the schema concerns flagged in the previous review.The path filters comprehensively exclude build artifacts, caches, and security scan outputs (line 20–21), which nicely complements the CI/CD security audits mentioned in the PR. Path-specific instructions are well-targeted: API design for
src/**/*.py, client patterns forclients/*, workflow security for.github/**/*, and documentation quality.
5-5: Tone instructions are concise and aligned with project priorities.At 135 characters, the message stays well under the 250-character limit and clearly signals focus on security, performance, and best practices—consistent with the PR's security audit and linting theme.
- Combine identical instructions for *.md and docs/**/* into single entry - Use **/*.md pattern to cover all markdown files - Remove duplication while preserving all review instructions
- Recommend enabling gitleaks, semgrep, checkov in CodeRabbit UI - Add IaC/container/K8s review instructions under path_instructions - Keep path fields as strings to satisfy linter
…yaml - Replace 8 identical path instruction blocks with single canonical rule - Use brace-expanded glob to cover all original patterns: - **/*.tf, **/Dockerfile, **/Dockerfile.* - **/docker-compose.yml, **/docker-compose.*.yml - helm/**/*, k8s/**/*, kubernetes/**/* - Preserve original instruction text for Infrastructure-as-Code security
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.coderabbit.yaml (1)
1-5: Consider adding a trailing newline at end of file.Most style guides and linters (Flake8, Prettier, etc.) expect files to end with a newline. If not already present, add one after line 113 to follow Unix convention and avoid potential CI/linting warnings.
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.coderabbit.yaml (1)
1-113: Configuration now properly adheres to CodeRabbit's official schema. ✅The file has been successfully restructured to align with the official specification:
tone_instructionsis now a top-level string property (within 250-char limit)path_filtersandpath_instructionsare properly nested underreviews- No unsupported custom sections remain
The configuration is comprehensive and well-organized. Path filters appropriately exclude build artifacts, caches, logs, and generated files. Path-specific instructions are clear, actionable, and tailored to each file type—covering API code, clients, CI/CD workflows, infrastructure-as-code, documentation, and configuration files.
Summary
This PR removes dead code and fixes all linting issues across the codebase.
Changes Made
Dead Code Removal
scorefunction fromsrc/contextforge_memory/main.py(lines 90-92)Flake8 Issues Fixed
clients/python/contextforge_client.pyMarkdownlint Issues Fixed
Verification
All linting tools now pass without errors:
Files Changed
src/contextforge_memory/main.pyclients/python/contextforge_client.pyCODE_OF_CONDUCT.mdCONTRIBUTING.mdREADME.mdSECURITY.md.github/workflows/ci.ymlThis improves code quality and ensures consistent formatting across the entire codebase.
Summary by CodeRabbit
New Features
Security / CI
Performance
Chores
Documentation