Feat: Semantic Version Conflict Resolver #154 #350
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Important Review skippedDraft detected. Please check the settings in the CodeRabbit UI or the You can disable this status message by setting the 📝 WalkthroughWalkthroughAdds a new DependencyResolver for deterministic semver conflict resolution with AI fallback, integrates it into CortexCLI with async manifest updates, adds tests for deterministic and AI paths, and updates dependencies (semantic-version, aiofiles, pytest-asyncio). (50 words) Changes
Sequence Diagram(s)sequenceDiagram
participant CLI as CortexCLI
participant Resolver as DependencyResolver
participant Semver as Deterministic Semver Logic
participant AI as AskHandler / AI
participant FS as Manifest (requirements.txt)
CLI->>Resolver: resolve(conflict_data)
Resolver->>Resolver: validate keys
Resolver->>Semver: _deterministic_resolution(constraints)
alt Deterministic match
Semver-->>Resolver: low-risk strategies
Resolver-->>CLI: return strategies
else No deterministic match
Resolver->>Resolver: _build_prompt(data)
Resolver->>AI: handler.ask(prompt)
AI-->>Resolver: ai_text_response
Resolver->>Resolver: _parse_ai_response(ai_text_response)
alt Parsed valid JSON
Resolver-->>CLI: ai strategies
else Parse/error
Resolver-->>CLI: manual high-risk fallback
end
end
CLI->>CLI: present strategies & select
CLI->>FS: _update_manifest(package, version) (async)
FS-->>CLI: write result / warn if missing
Estimated code review effort🎯 4 (Complex) | ⏱️ ~45 minutes Poem
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cortex/resolver.py (1)
61-69: Critical: Overly simplistic constraint handling doesn't fulfill PR objectives.The target version derivation (line 63) uses basic string manipulation that only strips
>=and^prefixes. This approach has several critical flaws:
- Incomplete prefix handling: Doesn't handle
~,==,!=,<,>, or version ranges like>=1.0.0,<2.0.0- No actual constraint solving: Doesn't find versions that satisfy both constraints or check compatibility
- No breaking change detection: Claims "no breaking changes detected" (line 68) without analyzing version differences
- Fragile string manipulation:
str(spec_a)may not return the original input string in the expected formatThe PR objectives explicitly require: compatibility checking, constraint solving, and breaking change detection using the
semantic_versionlibrary's APIs.🔎 Recommended approach using semantic_version properly
- # Strategy 1: Smart Upgrade (Dynamic Analysis) - # We assume pkg_b needs to catch up to pkg_a - target_ver = str(spec_a).replace('>=', '').replace('^', '') + # Strategy 1: Smart Upgrade + # Find a version that satisfies pkg_a's constraint + # Note: In production, you'd query actual available versions + # For now, we extract the minimum version from spec_a + try: + # Get minimum version from spec_a (this is a simplification) + # In a real implementation, query package registry for available versions + # and filter by spec_a.filter(available_versions) + min_version = spec_a.specs[0][1] if spec_a.specs else "unknown" + target_ver = str(min_version) + + # Detect breaking changes by comparing major versions + if hasattr(spec_b, 'specs') and spec_b.specs: + spec_b_version = spec_b.specs[0][1] + has_breaking_changes = spec_b_version.major < min_version.major + risk_level = "Medium (breaking changes detected)" if has_breaking_changes else "Low (no breaking changes detected)" + else: + risk_level = "Low (no breaking changes detected)" + except (IndexError, AttributeError): + target_ver = "latest compatible" + risk_level = "Low (no breaking changes detected)" + strategies.append({ "id": 1, "type": "Recommended", "action": f"Update {pkg_b['name']} to {target_ver} (compatible with {dep})", - "risk": "Low (no breaking changes detected)" + "risk": risk_level })Note: This is still simplified. A complete implementation would query a package registry for available versions and use
spec.filter()to find compatible versions.
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tests/test_resolver.py (1)
9-19: Verify the second strategy is also tested.The test only asserts the first strategy's type and action. To ensure both resolution strategies work correctly, add assertions for the second strategy (type "Alternative", action mentioning downgrade).
🔎 Proposed enhancement to test both strategies
def test_basic_conflict_resolution(self): conflict = { "dependency": "lib-x", "package_a": {"name": "pkg-a", "requires": "^2.0.0"}, "package_b": {"name": "pkg-b", "requires": "~1.9.0"} } strategies = self.resolver.resolve(conflict) self.assertEqual(len(strategies), 2) self.assertEqual(strategies[0]['type'], "Recommended") self.assertIn("Update pkg-b", strategies[0]['action']) + self.assertEqual(strategies[1]['type'], "Alternative") + self.assertIn("downgrade pkg-a", strategies[1]['action'])cortex/resolver.py (3)
45-57: Parsed spec_b is discarded - consider whether this is intentional.Line 49 parses
pkg_b['requires']but assigns it to_, meaning the parsed spec is immediately discarded. While this validates parseability, the spec isn't used for any compatibility analysis. If you only need validation, consider adding a comment explaining this. If you plan to use it for constraint solving, assign it tospec_binstead.🔎 Options to clarify intent
Option 1: Add comment if validation-only is intentional
try: spec_a = semantic_version.SimpleSpec(pkg_a['requires']) - # Validation check only - _ = semantic_version.SimpleSpec(pkg_b['requires']) + # Validation check only - ensure pkg_b constraint is parseable + # TODO: Use parsed spec_b for compatibility analysis + _ = semantic_version.SimpleSpec(pkg_b['requires'])Option 2: Store spec_b for future constraint solving
try: spec_a = semantic_version.SimpleSpec(pkg_a['requires']) - # Validation check only - _ = semantic_version.SimpleSpec(pkg_b['requires']) + spec_b = semantic_version.SimpleSpec(pkg_b['requires'])
71-77: Strategy lacks specific version guidance.The Conservative Downgrade strategy provides only a generic "downgrade" suggestion without specifying target versions. Consider deriving a specific target version from
spec_bsimilar to the upgrade strategy, or clarify that manual intervention is needed.🔎 Enhancement to provide version guidance
# Strategy 2: Conservative Downgrade + # Extract target version from pkg_b's constraint + try: + if hasattr(spec_b, 'specs') and spec_b.specs: + downgrade_target = str(spec_b.specs[0][1]) + action_text = f"Downgrade {pkg_a['name']} to be compatible with {pkg_b['name']} at {downgrade_target}" + else: + action_text = f"Keep {pkg_b['name']}, downgrade {pkg_a['name']} to compatible version" + except (IndexError, AttributeError): + action_text = f"Keep {pkg_b['name']}, downgrade {pkg_a['name']}" + strategies.append({ "id": 2, "type": "Alternative", - "action": f"Keep {pkg_b['name']}, downgrade {pkg_a['name']}", + "action": action_text, "risk": f"Medium (potential feature loss in {pkg_a['name']})" })
82-96: Demo code is fine but consider adding execution guard.The
__main__block provides a useful demo. The comment correctly notes that unit tests are separate. However, if this module is imported during test discovery, the demo runs. Consider adding a more explicit execution guard or moving the demo to a separate script.🔎 Optional guard to prevent execution during imports
if __name__ == "__main__": - # Simple CLI demo (Unit tests are in tests/test_resolver.py) + # Simple CLI demo - only runs when executed directly + # Unit tests are in tests/test_resolver.py CONFLICT = {Alternatively, move this demo to a separate
examples/demo_resolver.pyfile.
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cortex/resolver.py (3)
1-7: LGTM - Imports and type hints properly added.The module now correctly imports
semantic_versionand typing constructs. This addresses previous review feedback about missing type hints and imports.
10-23: LGTM - Enhanced docstring with usage example.The class docstring now includes a helpful usage example demonstrating semantic version constraints, addressing previous feedback.
36-39: LGTM - Input validation properly implemented.The validation correctly checks for required keys and raises
KeyErrorwith a descriptive message, addressing previous feedback about missing input validation.
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cortex/resolver.py (1)
67-91: Good error handling and strategy structure.The error handling correctly catches
ValueErrorfrom version parsing and returns a well-structured error strategy. Both resolution strategies follow a consistent format withid,type,action, andriskfields. The f-string formatting is correct throughout.The alternative "Conservative Downgrade" strategy could be enhanced by calculating and suggesting a specific compatible version for package_a, similar to how the recommended strategy provides a target version for package_b. However, this is a nice-to-have improvement rather than a requirement.
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🔇 Additional comments (5)
cortex/resolver.py (5)
1-8: Module structure and imports look good.The module docstring is clear and concise. The imports are appropriate, with
semantic_versionnow actively used for version parsing (line 57-58) and type hints properly imported as required by the coding guidelines.
10-23: LGTM!The class docstring is well-written and includes a helpful usage example demonstrating semantic version constraints. The stateless design is appropriate for a resolver utility.
25-37: LGTM!The method signature includes proper type hints as required by the coding guidelines, and the docstring is comprehensive with Args, Returns, and Raises sections following PEP 257 conventions.
53-60: Use semantic_version.SimpleSpec to parse constraints instead of stripping operators.The current approach using
lstrip('^~>=<')has several problems:
Semantic loss: Operators like
^,~,>=have different meanings in semantic versioning, but they're all stripped, losing the constraint information. For example,^2.0.0(compatible with 2.x) and~2.0.0(compatible with 2.0.x) both become2.0.0.Incorrect string operation:
lstrip()removes ALL occurrences of the specified characters from the left, not just prefixes. For example,>=<^2.0.0would become2.0.0, masking malformed input.No constraint solving: The PR objectives require checking compatibility between constraints and solving constraint sets, but the current implementation ignores the constraint semantics entirely.
The
semantic_versionlibrary providesSimpleSpec(orNpmSpecfor npm-style caret/tilde) to properly parse and work with version constraints.🔎 Recommended approach using SimpleSpec
- # Strategy 1: Smart Upgrade try: - # 1. strip operators like ^, ~, >= to get raw version string - raw_a = pkg_a['requires'].lstrip('^~>=<') - raw_b = pkg_b['requires'].lstrip('^~>=<') - - # 2. coerce into proper Version objects - ver_a = semantic_version.Version.coerce(raw_a) - ver_b = semantic_version.Version.coerce(raw_b) - - target_ver = str(ver_a) + # Parse constraint specifications + spec_a = semantic_version.NpmSpec(pkg_a['requires']) + spec_b = semantic_version.NpmSpec(pkg_b['requires']) + + # Find a version that satisfies both constraints + # For now, extract the base version from spec_a as a candidate + candidate_versions = [semantic_version.Version(v) for v in ['1.9.0', '2.0.0', '2.0.1', '2.1.0']] + compatible_versions = [v for v in candidate_versions if v in spec_a and v in spec_b] + + if compatible_versions: + target_ver = str(compatible_versions[-1]) # Use highest compatible version + risk_level = "Low (no breaking changes detected)" + else: + # No compatible version found, suggest upgrade to satisfy spec_a + target_ver = str(spec_a.clause.target) + risk_level = "Medium (breaking changes detected)"Note: For a full implementation, you'd want to query available versions from a package registry rather than using a hardcoded list.
Likely an incorrect or invalid review comment.
94-108: Expand test coverage to meet the >80% requirement.The test file exists but currently covers only basic functionality. To achieve >80% coverage, tests must verify:
- Risk level calculation when major versions differ (currently untested)
- Conservative Downgrade strategy (Strategy 2) - currently only Strategy 1 is verified
- Multiple semver operator formats (^, ~, >=, >, <, exact versions)
- Edge cases: empty package data, None values, invalid package structure
- Version comparison logic with various version combinations
Currently, only 3 test cases exist covering the happy path and two basic error scenarios. Additional test cases are needed for comprehensive coverage.
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I am currently working on this issue and will update this thread as I progress. - effiti |
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@coderabbitai generate docstrings |
✅ Actions performedInitiated docstring generation; will generate only if new commits exist. |
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Note Docstrings generation - SUCCESS |
Docstrings generation was requested by @Kesavaraja67. * #350 (comment) The following files were modified: * `cortex/resolver.py` * `tests/test_resolver.py`
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tests/test_resolver.py (6)
4-7: Add class and method docstrings per PEP 8.The test class and
setUpmethod are missing docstrings. Per coding guidelines, docstrings should be provided for clarity.🔎 Suggested docstrings
class TestDependencyResolver(unittest.TestCase): + """Test suite for DependencyResolver conflict resolution logic.""" + def setUp(self): + """Initialize DependencyResolver instance for each test.""" self.resolver = DependencyResolver()Based on coding guidelines requiring docstrings for all public APIs.
8-18: Add docstring per PEP 8.This test method is missing a docstring explaining its purpose.
🔎 Suggested docstring
def test_basic_conflict_resolution(self): + """Test basic version conflict resolution with major version difference.""" conflict = {Based on coding guidelines requiring docstrings.
20-35: Consider strengthening assertions to verify valid resolution strategies.The test verifies that strategies are returned but doesn't check whether they represent successful resolutions or error strategies. For instance,
">=1.0.0,<2.0.0"might not parse correctly with the resolver'slstripapproach, potentially returning an error strategy that would still pass this test.🔎 Suggested enhancement
for case in test_cases: conflict = { "dependency": "lib-y", "package_a": {"name": "pkg-a", "requires": case["req_a"]}, "package_b": {"name": "pkg-b", "requires": case["req_b"]} } strategies = self.resolver.resolve(conflict) self.assertIsInstance(strategies, list) self.assertGreater(len(strategies), 0) + # Verify successful resolution (not an error strategy) + self.assertNotEqual(strategies[0]['type'], "Error", + f"Failed to resolve {case}")
51-54: Add docstring per PEP 8.This test method is missing a docstring.
🔎 Suggested docstring
def test_missing_keys_raises_error(self): + """Test that KeyError is raised when required top-level keys are missing.""" bad_data = {"package_a": {}}Based on coding guidelines requiring docstrings.
56-64: Add docstring per PEP 8.This test method is missing a docstring.
🔎 Suggested docstring
def test_invalid_semver_handles_gracefully(self): + """Test that invalid semver strings return an error resolution strategy.""" conflict = {Based on coding guidelines requiring docstrings.
4-67: Coverage requirement met; consider optional edge cases.The test suite has been significantly expanded and now achieves the required >80% coverage. The tests effectively cover validation, parsing, error handling, field integrity, and multiple constraint formats.
For completeness, consider adding these optional edge cases mentioned in the previous review:
- Empty string versions
- Missing
'name'or'requires'keys within package dictionaries- Pre-release versions (e.g.,
"1.0.0-alpha")These would further harden the test suite but are not required given the coverage threshold is already met.
🔎 Example optional edge case tests
def test_missing_requires_key_in_package(self): """Test handling of package dict missing 'requires' key.""" conflict = { "dependency": "lib-x", "package_a": {"name": "pkg-a"}, # Missing 'requires' "package_b": {"name": "pkg-b", "requires": "1.0.0"} } with self.assertRaises(KeyError): self.resolver.resolve(conflict) def test_prerelease_version(self): """Test handling of pre-release semantic versions.""" conflict = { "dependency": "lib-x", "package_a": {"name": "pkg-a", "requires": "2.0.0-alpha"}, "package_b": {"name": "pkg-b", "requires": "1.9.0"} } strategies = self.resolver.resolve(conflict) self.assertIsInstance(strategies, list)Based on learnings requiring >80% test coverage for pull requests.
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tests/test_resolver.py (1)
37-49: Excellent field validation test.This test thoroughly verifies that all required fields are present in resolution strategies, directly addressing the previous review feedback.
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I have addressed all feedback, reached >80% test coverage, and added docstrings. All automated checks and resolved conversations are finalized. Ready for review and merge @mikejmorgan-ai. |
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Hi @mikejmorgan-ai, I’ve completed the refactor to use semantic_version properly and expanded the test suite to >80% coverage as requested by the automated review. All SonarCloud quality gates have passed. It looks like the PR is just waiting for a manual workflow approval and a final review to be mergeable. Please let me know if there is anything else needed on my end! |
CLA Verification PassedAll contributors have signed the CLA.
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cortex/resolver.py (2)
6-6: Remove unused import.The
Anytype hint is imported but never used in the code. All type annotations usedictandlist(built-in generics).🔎 Proposed fix
-from typing import Any
88-96: Calculate specific version for the downgrade strategy.Strategy 2 currently suggests a generic "downgrade {pkg_a['name']} to compatible version" without calculating an actual target version. The PR objectives require suggesting safe upgrade paths with specific calculated versions.
Consider using the parsed constraints to determine a specific version that would be compatible with
pkg_b's requirements (e.g., the highest version that satisfiespkg_b's spec).🔎 Example enhancement
# Strategy 2: Conservative Downgrade + # Calculate highest version compatible with pkg_b's constraint + # downgrade_target = max(version for version in available_versions if version in spec_b) + strategies.append( { "id": 2, "type": "Alternative", - "action": f"Keep {pkg_b['name']}, downgrade {pkg_a['name']} to compatible version", + "action": f"Keep {pkg_b['name']}, downgrade {pkg_a['name']} to <calculated_version>", "risk": f"Medium (potential feature loss in {pkg_a['name']})", } )Note: Requires access to available version candidates to calculate the optimal downgrade target.
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📚 Learning: 2025-12-11T12:03:24.071Z
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Learning: Applies to **/*.py : Type hints required in Python code
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🔇 Additional comments (2)
cortex/resolver.py (2)
11-24: LGTM! Clear documentation with usage example.The class docstring provides a helpful example demonstrating the expected input format and basic usage pattern.
26-47: LGTM! Proper type hints and input validation.The method signature includes appropriate type hints (using Python 3.9+ built-in generics), comprehensive docstring with all required sections, and validates required keys before processing.
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tests/test_resolver.py (1)
8-64: Expand test coverage for risk calculation and additional edge cases.While the current tests cover basic scenarios, several paths remain untested:
- Risk calculation logic: No test verifies when risk level is
"Low (no breaking changes detected)"(whenver_b.major >= ver_a.major). All current tests havever_b.major < ver_a.major, exercising only the Medium risk path.- Edge cases from previous review: Empty version strings, pre-release versions (e.g.,
"2.0.0-alpha"), and very old/new version numbers are still not covered.These gaps may prevent achieving the required >80% coverage threshold.
🔎 Example additional test cases
def test_risk_calculation_low(self) -> None: """Test that risk is Low when no major version breaking changes exist.""" conflict = { "dependency": "lib-x", "package_a": {"name": "pkg-a", "requires": "^2.0.0"}, "package_b": {"name": "pkg-b", "requires": "2.5.0"} } strategies = self.resolver.resolve(conflict) # Should be Low risk since both are major version 2 self.assertIn("Low", strategies[0]['risk']) def test_empty_version_string(self) -> None: """Test handling of empty version strings.""" conflict = { "dependency": "lib-x", "package_a": {"name": "pkg-a", "requires": ""}, "package_b": {"name": "pkg-b", "requires": "1.0.0"} } strategies = self.resolver.resolve(conflict) self.assertEqual(strategies[0]['type'], "Error") def test_prerelease_versions(self) -> None: """Test handling of pre-release version tags.""" conflict = { "dependency": "lib-x", "package_a": {"name": "pkg-a", "requires": "2.0.0-beta"}, "package_b": {"name": "pkg-b", "requires": "1.9.0"} } strategies = self.resolver.resolve(conflict) self.assertIsInstance(strategies, list) self.assertGreater(len(strategies), 0)Based on coding guidelines requiring >80% test coverage for pull requests.
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Hi @Anshgrover23, I’ve pushed the requested changes to address the prompt refinements and the numbered UX selection. I'm currently hitting a local 'timed out error' (as shown in the attached screenshot) that's blocking me from recording the demo video right now. Is there any possibilities of Merging my PR without the demo video?" |
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cortex/cli.py (2)
7-7: Optional import appears unused.The
Optionaltype hint is imported but not used in the changed code. Theresolvemethod uses modern union syntax (str | None) instead. Consider removing the unused import.🔎 Proposed fix
-from typing import Any, Optional +from typing import Any
556-560: Consider simplifying pedagogical comments.The numbered comments (# 1. and # 2.) are pedagogical and reference the UX request. Consider simplifying them to standard code comments once the feature is established.
🔎 Proposed refactor
- # 1. Create numbered choices based on Strategy IDs (Satisfies UX request) + # Create numbered choices based on Strategy IDs choices = [str(s.get("id")) for s in results] - # 2. Use Prompt.ask to let user pick a number (1, 2, etc.) + # Prompt user to select a strategy choice = Prompt.ask("\nSelect strategy to apply", choices=choices, default=choices[0])
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cortex/cli.py (3)
564-568: Strategy selection doesn't apply the chosen resolution.The method prompts the user to select a strategy but only prints a success message without actually applying the resolution. This may be intentional for the current PR scope, but verify that strategy application will be implemented in a follow-up or if it's expected to be manual.
Based on the PR objectives, this appears to be an interactive CLI workflow demonstration. Confirm whether automatic application of the selected strategy is planned for a future iteration.
1751-1761: LGTM!The argument parser for the
deps resolvecommand is well-structured with all required parameters properly defined. The command interface matches the specification (cortex deps resolve) mentioned in the PR objectives.
1969-1976: Help fallback returns error code but is consistent with existing patterns.When
deps_actionis not "resolve", the code prints help and returns 1 (error code). While printing help typically returns 0, this pattern is consistent with other commands in the codebase (e.g., cache command at lines 1987-1988). No change needed unless you want to standardize help return codes across all commands.
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cortex/cli.py (1)
556-556: Critical: Fix indentation to resolve Black formatting failure.Line 556 has incorrect indentation with extra leading spaces before the comment, as previously flagged. This is causing the Black formatting pipeline failure. The comment should align with the code at line 557.
🔎 Proposed fix
# Display Strategies for s in results: s_type = s.get("type", "Unknown") color = "green" if s_type == "Recommended" else "yellow" # Updated to make the number very clear console.print(f"\n[{color}]Strategy {s['id']} ({s_type}):[/{color}]") console.print(f" [bold]Action:[/bold] {s['action']}") console.print(f" [bold]Risk:[/bold] {s['risk']}") - # 1. Create numbered choices based on Strategy IDs (Satisfies UX request) + # 1. Create numbered choices based on Strategy IDs (Satisfies UX request) choices = [str(s.get("id")) for s in results] # 2. Use Prompt.ask to let user pick a number (1, 2, etc.) choice = Prompt.ask("\nSelect strategy to apply", choices=choices, default=choices[0])
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cortex/cli.py (1)
7-7: Unused import:Optionalis not referenced in the new code.The
Optionaltype hint was added to the imports but is not used anywhere in the newresolvemethod or other changes. Consider removing it to keep imports clean.🔎 Proposed fix
-from typing import Any, Optional +from typing import Any
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cortex/cli.py (2)
1751-1761: LGTM: CLI parser setup is correct.The
depscommand group withresolvesubcommand is properly structured with all required arguments. This matches the specification from issue #154 forcortex deps resolve.
1969-1976: LGTM: Command dispatcher handles async execution correctly.The dispatcher properly uses
asyncio.run()to execute the asyncresolvemethod and provides appropriate fallback behavior when no valid subcommand is specified.
|
@Anshgrover23 as you said i have implemented the changes in the UX it will ask numbers to select the strategy and also changed the |
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Addressed all maintainer and CodeRabbit feedback:
UX: Implemented numbered strategy selection in cli.py with explicit bounds checking.
Logic: Fixed duplicate prompt bug and circular imports.
Architecture: Integrated AskHandler for semantic reasoning and added semantic-version for deterministic resolution.
Code Quality: Added type hints, PEP 8 formatting, and fixed async test issues.
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cortex/cli.py (2)
1766-1776: LGTM: CLI parser correctly structured.The deps command group with resolve subcommand is properly configured. All required arguments (--package, --version, --package-b, --version-b, --dependency) align with the conflict_data structure used in the resolve method. The command interface matches the specification mentioned in PR objectives:
cortex deps resolve.
1984-1991: LGTM: Async routing correctly implemented.The routing for the
deps resolvecommand properly usesasyncio.run()to execute the asynccli.resolve()method from synchronous context. The fallback to help text for unrecognized subcommands provides good user experience.
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cortex/resolver.py (3)
39-72: Expand docstring to include Args, Returns, and Raises sections.The method has solid logic and error handling, but the docstring is incomplete per PEP 8 and coding guidelines. Add detailed documentation for parameters, return value, and exceptions.
🔎 Suggested docstring expansion
async def resolve(self, conflict_data: dict[str, Any]) -> list[dict[str, Any]]: """ Resolve semantic version conflicts using deterministic analysis and AI. + + Args: + conflict_data: Dictionary with keys 'package_a', 'package_b', + and 'dependency'. Each package dict must have 'name' and + 'requires' (version constraint string). + + Returns: + List of strategy dictionaries, each containing 'id', 'type', + 'action', 'risk', and optionally 'explanation'. + + Raises: + KeyError: If required keys are missing from conflict_data. """Based on coding guidelines.
74-109: Fix PEP 8 line length violation on line 103.The deterministic resolution logic correctly uses
semantic_version.SimpleSpecand includes proper defensive checks. However, line 103 exceeds the 79-character limit.🔎 Proposed fix for line 103
return [ { "id": 1, "type": "Recommended", - "action": f"Upgrade {data['package_b']['name']} to support {dependency} ^{a_major}.0.0", + "action": ( + f"Upgrade {data['package_b']['name']} " + f"to support {dependency} ^{a_major}.0.0" + ), "risk": "Medium", } ]Based on coding guidelines requiring PEP 8 compliance.
111-122: Fix PEP 8 line length violations on lines 119 and 121.The prompt structure is well-designed and addresses previous issues with complex JSON escaping. However, two lines exceed the 79-character limit.
🔎 Proposed fix
def _build_prompt(self, data: dict[str, Any]) -> str: """Constructs a prompt for direct JSON response with parseable actions.""" return ( f"Act as a semantic version conflict resolver. " f"Analyze this conflict for the dependency: {data['dependency']}. " f"Package '{data['package_a']['name']}' requires {data['package_a']['requires']}. " f"Package '{data['package_b']['name']}' requires {data['package_b']['requires']}. " "Return ONLY a JSON array of 2 objects with keys: 'id', 'type', 'action', 'risk'. " - "IMPORTANT: The 'action' field MUST follow the exact format: 'Use <package_name> <version>' " + "IMPORTANT: The 'action' field MUST follow the exact format: " + "'Use <package_name> <version>' " "(e.g., 'Use django 4.2.0') so it can be parsed by the system. " - f"Do not mention packages other than {data['package_a']['name']}, {data['package_b']['name']}, and {data['dependency']}." + f"Do not mention packages other than {data['package_a']['name']}, " + f"{data['package_b']['name']}, and {data['dependency']}." )Based on coding guidelines requiring PEP 8 compliance.
cortex/cli.py (1)
509-608: Consider preserving version specifiers and adding file backup before modification.The resolution flow is well-implemented with good error handling. However, there are two areas for improvement:
Line 558: Stripping
^~and then using==on line 577 converts all constraints to exact pins, which may not preserve the user's intended version flexibility (e.g.,^1.2.0becomes==1.2.0).Lines 561-586: The manifest update writes directly without creating a backup. If the write operation fails after reading, the file could be left in an inconsistent state.
🔎 Suggested improvements
if match: package_name = match.group(1) - version_constraint = match.group(2).strip("^~ ") + version_constraint = match.group(2).strip() manifest_path = "requirements.txt" if os.path.exists(manifest_path): try: + # Create backup before modifying + import shutil + backup_path = f"{manifest_path}.backup" + shutil.copy2(manifest_path, backup_path) + with open(manifest_path) as f: lines = f.readlines() new_lines = [] updated = False for line in lines: if not line.strip() or line.startswith("#"): new_lines.append(line) continue parts = re.split(r"[=<>~!]", line) current_pkg_name = parts[0].strip() if current_pkg_name == package_name: - new_lines.append(f"{package_name}=={version_constraint}\n") + # Preserve version specifier format from AI suggestion + new_lines.append(f"{package_name}{version_constraint}\n") updated = True else: new_lines.append(line) if not updated: - new_lines.append(f"{package_name}=={version_constraint}\n") + new_lines.append(f"{package_name}{version_constraint}\n") with open(manifest_path, "w") as f: f.writelines(new_lines) + + # Remove backup on success + os.remove(backup_path) status_msg = ( f"Updated {manifest_path}" if updated else f"Added to {manifest_path}" ) cx_print(f"✓ {status_msg} with {package_name}", "success") except Exception as file_err: + # Restore backup on failure + if os.path.exists(backup_path): + shutil.copy2(backup_path, manifest_path) + os.remove(backup_path) self._print_error(f"Could not update manifest: {file_err}")
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cortex/resolver.py (3)
1-16: LGTM! Imports and module structure are correct.The imports are well-organized and the use of
AskHandlerinstead ofCommandInterpretercorrectly addresses the previous critical API misuse issue.
18-37: LGTM! Clear class documentation with helpful examples.The initialization correctly uses
AskHandlerand provides sensible defaults for the Ollama provider.
124-133: LGTM! Robust AI response parsing.The regex-based extraction correctly handles JSON arrays within text and eliminates the unsafe string replacement that was flagged in previous reviews. Error handling returns an empty list, allowing the resolve method to fall back to deterministic strategies.
cortex/cli.py (2)
1785-1795: LGTM! Parser correctly implements thecortex deps resolvecommand.The argument structure properly captures all required conflict data (package A, package B, and the conflicting dependency) and matches the specification from the PR objectives.
2003-2009: LGTM! Correct async invocation and error handling.The routing properly uses
asyncio.run()to execute the async resolve method and provides helpful feedback when an invalid subcommand is given.
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🤖 Fix all issues with AI Agents
In @cortex/__init__.py:
- Line 7: The file ends with the __all__ declaration but is missing a trailing
newline, causing a PEP8 violation; open the module that defines __all__ =
["main", "load_env", "PackageManager", "PackageManagerType"] and add a single
newline character at the end of the file (ensure the file ends with '\n') so the
file terminates with a newline.
In @cortex/llm/interpreter.py:
- Line 387: The file ends with the line "return self.parse(enriched_input,
validate=validate)" but is missing a trailing newline; add a single newline
character at the end of the file so the final line is terminated (i.e., ensure
the file ends with '\n') to satisfy PEP8/lint requirements.
In @cortex/sandbox/docker_sandbox.py:
- Line 910: The file ends without a trailing newline, causing a PEP 8 lint
error; add a single newline character at the end of
cortex/sandbox/docker_sandbox.py so the final line (the return
DockerSandbox().check_docker() statement) is followed by a newline (ensure your
editor saves with a newline-at-EOF or append one manually).
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tests/test_resolver.py (2)
20-24: Add return type hint to asyncSetUp.The method is missing the required return type hint per coding guidelines.
As per coding guidelines, type hints are required in Python code.
♻️ Proposed fix
- async def asyncSetUp(self): + async def asyncSetUp(self) -> None: """Set up test fixtures before each test."""
26-176: Consider adding return type hints to test methods.All test methods (lines 26, 44, 60, 80, 86, 102, 126, 141, 164) are missing
-> Nonereturn type hints. While the tests function correctly and have proper docstrings, adding type hints would align with project coding guidelines.As per coding guidelines, type hints are required in Python code.
♻️ Example fix
- async def test_deterministic_intersection(self): + async def test_deterministic_intersection(self) -> None: """Test that compatible versions are resolved mathematically."""Apply similar changes to all test methods.
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📚 Learning: 2026-01-05T20:26:18.626Z
Learnt from: pavanimanchala53
Repo: cortexlinux/cortex PR: 439
File: cortex/cli.py:62-73
Timestamp: 2026-01-05T20:26:18.626Z
Learning: In cortex/cli.py, the _is_ambiguous_request method intentionally only checks for domain=="unknown" and does not recheck the ambiguous field from the intent dict. The design assumes that ambiguity handling occurs at the interpreter layer through LLM prompting, and the domain check in CLI is sufficient as a safety mechanism.
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pyproject.toml (1)
50-51: LGTM! Dependencies properly added.The added dependencies are correctly specified with appropriate minimum versions and align with the resolver implementation:
semantic-version>=2.10.0supports deterministic semver constraint parsingaiofiles>=23.2.1enables async manifest updates in the CLIpytest-asyncio>=0.21.1supports async test executionAlso applies to: 57-57
cortex/resolver.py (6)
1-16: LGTM! Module setup is clean and complete.Imports are properly organized and all are used. Module docstring clearly describes purpose. Logger properly configured.
18-35: LGTM! Class declaration and initialization follow guidelines.Class and
__init__method have complete docstrings with Args sections. Type hints use modern Python 3.10+ union syntax. AskHandler properly initialized.
37-101: LGTM! Resolve method is well-structured and properly documented.The method correctly implements the deterministic-first, AI-fallback strategy with:
- Complete type hints and docstring including Args, Returns, and Raises sections
- Input validation with KeyError for missing keys
- Early return for deterministic matches (lines 58-61)
- Comprehensive error handling with fallback to Manual strategy
- Consistent return structure across all code paths
103-154: LGTM! Deterministic resolution logic is sound.The method properly:
- Strips whitespace from version constraints (lines 114-115)
- Handles exact equality as fast path (lines 118-127)
- Uses
semantic_version.SimpleSpecfor proper constraint parsing (lines 130-131)- Validates mathematical intersection by testing a base version against both specs (lines 134-146)
- Returns empty list to trigger AI fallback when no deterministic match found
- Handles exceptions gracefully
156-175: LGTM! Prompt construction is clear and well-documented.The method builds a structured prompt that:
- Has complete type hints and docstring
- Clearly specifies the expected JSON output format
- Instructs AI to use parseable action format: "Use <package_name> "
- Constrains AI to only mention relevant packages
177-192: LGTM! AI response parsing is robust.The method safely extracts and parses AI responses:
- Complete type hints and docstring
- Uses regex with DOTALL flag to find JSON arrays in multiline responses
- Returns empty list on parse failure, allowing caller to provide fallback strategy
- Handles both JSONDecodeError and AttributeError
cortex/cli.py (5)
4-5: LGTM! New imports support resolver functionality.The imports are used appropriately:
refor parsing version constraints and action stringsaiofilesfor async non-blocking manifest updatesshutilimport present (usage may be elsewhere in the file)Also applies to: 11-11
604-651: LGTM! Async manifest update properly implemented.The method correctly:
- Uses complete type hints and docstring with Args and Returns sections
- Employs
aiofilesfor non-blocking async file I/O (lines 621, 644)- Parses package names using regex split (line 631)
- Updates existing entries or appends new ones (lines 634-641)
- Provides advisory message when manifest is missing (line 616)
- Handles exceptions gracefully (lines 650-651)
Note: The hardcoded
requirements.txtpath (line 614) is Python-specific but acceptable for the current scope.
653-721: LGTM! Resolve method properly integrates async workflow.The method correctly:
- Uses complete type hints and docstring with Args, Returns sections
- Builds conflict data from CLI arguments (lines 667-671)
- Initializes resolver with proper credentials (lines 677-679)
- Awaits async resolver.resolve call (line 682)
- Handles Error-type results (lines 684-687)
- Displays strategies with appropriate color coding (lines 690-695)
- Prompts for user selection using rich.Prompt (lines 697-700)
- Parses action string with regex to extract package and version (line 707)
- Strips version constraint operators for clean manifest writing (line 711)
- Awaits async manifest update (line 714)
- Handles exceptions with appropriate error messaging (lines 719-721)
1922-1947: LGTM! CLI argument parser properly structured.The deps command parser is well-designed:
- Creates proper subparser structure (lines 1922-1924)
- Provides detailed help with usage examples (lines 1929-1940)
- Uses RawDescriptionHelpFormatter to preserve example formatting (line 1941)
- Defines all required arguments with clear help text (lines 1943-1947)
- Follows project CLI conventions
2165-2171: LGTM! Command routing properly handles async execution.The deps command routing correctly:
- Checks for resolve subcommand (line 2166)
- Imports asyncio locally (lazy import pattern) (line 2167)
- Uses
asyncio.run()to execute the async resolve method (line 2169)- Provides help fallback for missing/unknown subcommands (lines 2170-2171)
tests/test_resolver.py (2)
1-14: LGTM! Test module properly documented and imports correct.Module docstring clearly lists coverage areas. Imports are appropriate for async testing.
17-177: LGTM! Test suite provides comprehensive coverage.The test suite includes 9 well-structured tests covering:
- Deterministic resolution paths (exact match, intersection, whitespace handling)
- AI fallback scenarios (incompatible versions, empty intersection, multiple strategies)
- Error handling (invalid JSON, missing keys, AI exceptions)
All major code paths in
DependencyResolverare exercised, meeting the >80% coverage requirement per project guidelines. Tests useIsolatedAsyncioTestCaseappropriately for async testing and properly mock the AI handler.Based on learnings, maintain >80% test coverage for pull requests.
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Actionable comments posted: 3
🤖 Fix all issues with AI agents
In @cortex/resolver.py:
- Line 171: The long prompt string containing "IMPORTANT: The 'action' field
MUST follow the exact format: 'Use <package_name> <version>'" violates PEP8 line
length; split this single literal into multiple shorter string pieces (using
implicit concatenation inside parentheses or + concatenation) so no line exceeds
79 characters, preserve exact text and spacing/punctuation, and update the same
variable or location where that string is defined in cortex.resolver (i.e.,
replace the single long literal with the concatenated/parenthesized pieces).
In @tests/test_resolver.py:
- Line 84: The test is awaiting a synchronous method: remove the erroneous
`await` when calling `self.resolver.resolve(bad_data)` in the test (or
alternatively make `resolve()` async if intended), but the simplest fix is to
call `self.resolver.resolve(bad_data)` without `await` and adjust any
surrounding test flow accordingly; locate the call to `resolve()` in the test
and delete the `await` token so the synchronous `resolve()` method is invoked
directly.
🧹 Nitpick comments (1)
tests/test_resolver.py (1)
17-24: Consider using regular unittest.TestCase since no async operations are performed.The test class extends
IsolatedAsyncioTestCaseand test methods are declaredasync, but the code under test (DependencyResolver.resolve()) is synchronous and no async operations are actually performed in the tests. Using a regularunittest.TestCasewith synchronous test methods would be more appropriate and simpler.♻️ Proposed refactoring
-class TestDependencyResolver(unittest.IsolatedAsyncioTestCase): +class TestDependencyResolver(unittest.TestCase): """Test suite for AI-powered dependency conflict resolution.""" - async def asyncSetUp(self) -> None: + def setUp(self) -> None: """Set up test fixtures before each test."""Then remove
asyncfrom all test method definitions.
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**/*.py
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**/*.py: Follow PEP 8 style guide
Type hints required in Python code
Docstrings required for all public APIs
Files:
tests/test_resolver.pycortex/resolver.py
tests/**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
Maintain >80% test coverage for pull requests
Files:
tests/test_resolver.py
🧠 Learnings (3)
📚 Learning: 2025-12-11T12:03:24.071Z
Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to tests/**/*.py : Maintain >80% test coverage for pull requests
Applied to files:
tests/test_resolver.pycortex/resolver.py
📚 Learning: 2025-12-11T12:03:24.071Z
Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*.py : Type hints required in Python code
Applied to files:
tests/test_resolver.pycortex/resolver.py
📚 Learning: 2026-01-05T20:26:18.626Z
Learnt from: pavanimanchala53
Repo: cortexlinux/cortex PR: 439
File: cortex/cli.py:62-73
Timestamp: 2026-01-05T20:26:18.626Z
Learning: In cortex/cli.py, the _is_ambiguous_request method intentionally only checks for domain=="unknown" and does not recheck the ambiguous field from the intent dict. The design assumes that ambiguity handling occurs at the interpreter layer through LLM prompting, and the domain check in CLI is sufficient as a safety mechanism.
Applied to files:
cortex/resolver.py
🧬 Code graph analysis (2)
tests/test_resolver.py (1)
cortex/resolver.py (2)
DependencyResolver(18-192)resolve(37-101)
cortex/resolver.py (2)
cortex/cli.py (2)
ask(723-752)resolve(653-721)cortex/ask.py (1)
AskHandler(135-341)
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🔇 Additional comments (3)
cortex/resolver.py (1)
18-101: Excellent implementation of hybrid deterministic + AI resolution strategy.The resolver correctly prioritizes fast, deterministic semver analysis via
semantic_versionlibrary before falling back to AI reasoning. The early return on line 61 when deterministic strategies are found is critical for performance and reliability. Error handling is robust with appropriate Manual fallbacks on lines 70-77 and 92-101.tests/test_resolver.py (2)
26-176: Comprehensive test coverage validates both deterministic and AI-driven paths.The test suite effectively covers the key scenarios: deterministic resolution with exact matches and intersections, AI fallback for complex conflicts, error handling for malformed input and invalid AI responses, and edge cases like whitespace handling. The tests verify that AI is called only when deterministic logic cannot resolve the conflict, which aligns perfectly with the resolver's design.
44-44: Add missing type hints to test methods.Test methods on lines 44, 60, 86, 102, 126, 141, and 164 are missing the
-> Nonereturn type hint required by coding guidelines.🔧 Proposed fix example
- async def test_invalid_ai_json_fallback(self): + async def test_invalid_ai_json_fallback(self) -> None: """Ensure fallback happens if AI returns garbage."""Apply the same pattern to all other test methods missing type hints.
As per coding guidelines, type hints are required in Python code.
Also applies to: 60-60, 86-86, 102-102, 126-126, 141-141, 164-164
⛔ Skipped due to learnings
Learnt from: CR Repo: cortexlinux/cortex PR: 0 File: AGENTS.md:0-0 Timestamp: 2025-12-11T12:03:24.071Z Learning: Applies to **/*.py : Type hints required in Python code
| { | ||
| "id": 1, | ||
| "type": "Manual", | ||
| "action": f"Check {conflict_data['dependency']} compatibility manually.", |
There was a problem hiding this comment.
Fix PEP 8 line length violations.
Lines 74, 87, and 98 exceed the PEP 8 recommended maximum of 79 characters. These lines contain similar f-string constructions that should be refactored for compliance.
🔧 Proposed fix
{
"id": 1,
"type": "Manual",
- "action": f"Check {conflict_data['dependency']} compatibility manually.",
+ "action": (
+ f"Check {conflict_data['dependency']} "
+ "compatibility manually."
+ ),
"risk": "High",
}Apply similar refactoring to lines 87 and 98.
As per coding guidelines, PEP 8 style compliance is required.
Also applies to: 87-87, 98-98
| f"Package '{data['package_a']['name']}' requires {data['package_a']['requires']}. " | ||
| f"Package '{data['package_b']['name']}' requires {data['package_b']['requires']}. " | ||
| "Return ONLY a JSON array of 2 objects with keys: 'id', 'type', 'action', 'risk'. " | ||
| "IMPORTANT: The 'action' field MUST follow the exact format: 'Use <package_name> <version>' " |
There was a problem hiding this comment.
Fix PEP 8 line length violation in prompt string.
Line 171 exceeds 79 characters. Break this long string literal into multiple parts.
🔧 Proposed fix
f"Package '{data['package_b']['name']}' requires {data['package_b']['requires']}. "
"Return ONLY a JSON array of 2 objects with keys: 'id', 'type', 'action', 'risk'. "
- "IMPORTANT: The 'action' field MUST follow the exact format: 'Use <package_name> <version>' "
+ "IMPORTANT: The 'action' field MUST follow the exact format: "
+ "'Use <package_name> <version>' "
"(e.g., 'Use django 4.2.0') so it can be parsed by the system. "As per coding guidelines, PEP 8 style compliance is required.
📝 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.
| "IMPORTANT: The 'action' field MUST follow the exact format: 'Use <package_name> <version>' " | |
| f"Package '{data['package_b']['name']}' requires {data['package_b']['requires']}. " | |
| "Return ONLY a JSON array of 2 objects with keys: 'id', 'type', 'action', 'risk'. " | |
| "IMPORTANT: The 'action' field MUST follow the exact format: " | |
| "'Use <package_name> <version>' " | |
| "(e.g., 'Use django 4.2.0') so it can be parsed by the system. " |
🤖 Prompt for AI Agents
In @cortex/resolver.py at line 171, The long prompt string containing
"IMPORTANT: The 'action' field MUST follow the exact format: 'Use <package_name>
<version>'" violates PEP8 line length; split this single literal into multiple
shorter string pieces (using implicit concatenation inside parentheses or +
concatenation) so no line exceeds 79 characters, preserve exact text and
spacing/punctuation, and update the same variable or location where that string
is defined in cortex.resolver (i.e., replace the single long literal with the
concatenated/parenthesized pieces).
Anshgrover23
left a comment
Anshgrover23
left a comment
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@Kesavaraja67 CI check is failing. Making it draft until then.
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Actionable comments posted: 2
🤖 Fix all issues with AI agents
In @cortex/cli.py:
- Line 686: The code is awaiting a synchronous method
(DependencyResolver.resolve) which will raise a TypeError; fix by calling
resolver.resolve(conflict_data) synchronously (remove the await) or, if you must
keep the surrounding function async for non-blocking behavior, execute the sync
method in a thread executor via the event loop (e.g., loop.run_in_executor(...,
resolver.resolve, conflict_data)) so the call does not use await on a non-async
function; update the call site in cortex/cli.py where results = await
resolver.resolve(conflict_data) accordingly and ensure any callers handle the
synchronous return or the awaited future from run_in_executor.
- Around line 706-720: The success message is printed unconditionally even when
the action string doesn't match the expected pattern and no manifest update
occurs; ensure you only call self._print_success("✓ Conflict resolved
successfully") after a successful parse and update by moving that call inside
the if match: block (the block that uses re.search(...) on action, extracts
package_name/version_constraint, and awaits self._update_manifest(package_name,
version_constraint)), and optionally add an else branch to log or raise a
warning when selected.get("action", "") fails to match so users aren’t misled.
🧹 Nitpick comments (3)
cortex/cli.py (3)
635-639: Package names with extras may not be matched correctly.The regex
r"[=<>~!]"splits on version specifiers, but package lines with extras likerequests[security]>=2.0will result inparts[0]beingrequests[security], which won't match a simple package name likerequests. Consider normalizing the package name by stripping extras.🔧 Proposed fix
parts = re.split(r"[=<>~!]", line) -current_pkg_name = parts[0].strip() +# Strip extras (e.g., "package[extra]" -> "package") +current_pkg_name = re.split(r"\[", parts[0].strip())[0]
714-718: Version constraint handling strips operators before pinning.The code strips
^,~, and space from the version, then writes an exact pin (==) to the manifest. This is a valid strategy for reproducibility, but be aware:
- If the AI returns a range like
>=4.2.0,<5.0.0, only>=4.2.0,<5.0.0is captured (sans operators at edges)- The manifest always uses
==, which may be more restrictive than the AI's recommendationIf the intent is to preserve the AI's constraint rather than pin exactly, consider writing the constraint as-is.
5-5: Remove unusedshutilimportThe
shutilmodule is imported at line 5 but is not used anywhere in the file. Remove this import.
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Type hints required in Python code
Docstrings required for all public APIs
Files:
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cortex/resolver.py (2)
resolve(37-101)DependencyResolver(18-192)cortex/dependency_resolver.py (1)
DependencyResolver(40-386)
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🔇 Additional comments (2)
cortex/cli.py (2)
2311-2336: CLI argument setup fordeps resolvelooks good.The argument definitions correctly mark all required parameters and provide helpful examples in the description. The
RawDescriptionHelpFormatterpreserves the multi-line examples nicely.
2670-2676: Command routing fordeps resolveis correctly wired.The use of
asyncio.run()to execute the asyncresolvemethod from the synchronousmain()entry point is appropriate. The fallback todeps_parser.print_help()provides a good UX when no subcommand is given.
| resolver = DependencyResolver(api_key=api_key, provider=provider) | ||
|
|
||
| # Trigger AI/Deterministic analysis | ||
| results = await resolver.resolve(conflict_data) |
There was a problem hiding this comment.
Critical: Awaiting a synchronous method will cause a runtime error.
Based on the relevant code snippet from cortex/resolver.py, DependencyResolver.resolve() is defined as a synchronous method (def resolve(...)), not an async method. Awaiting it will raise a TypeError: object list can't be used in 'await' expression.
🐛 Proposed fix - call synchronously
- # Trigger AI/Deterministic analysis
- results = await resolver.resolve(conflict_data)
+ # Trigger AI/Deterministic analysis (synchronous call)
+ results = resolver.resolve(conflict_data)Alternatively, if you intend to keep the CLI method async for non-blocking file I/O, wrap the synchronous call in an executor:
import asyncio
loop = asyncio.get_event_loop()
results = await loop.run_in_executor(None, resolver.resolve, conflict_data)🤖 Prompt for AI Agents
In @cortex/cli.py at line 686, The code is awaiting a synchronous method
(DependencyResolver.resolve) which will raise a TypeError; fix by calling
resolver.resolve(conflict_data) synchronously (remove the await) or, if you must
keep the surrounding function async for non-blocking behavior, execute the sync
method in a thread executor via the event loop (e.g., loop.run_in_executor(...,
resolver.resolve, conflict_data)) so the call does not use await on a non-async
function; update the call site in cortex/cli.py where results = await
resolver.resolve(conflict_data) accordingly and ensure any callers handle the
synchronous return or the awaited future from run_in_executor.
| if selected: | ||
| cx_print(f"Applying strategy {choice}...", "info") | ||
| action = selected.get("action", "") | ||
|
|
||
| # Parse the action string (e.g., "Use django 4.2.0") | ||
| match = re.search(r"Use\s+(\S+)\s+(.+)", action) | ||
| if match: | ||
| package_name = match.group(1) | ||
| # Strip syntax symbols for clean manifest writing | ||
| version_constraint = match.group(2).strip("^~ ") | ||
|
|
||
| # Call the helper method to perform safe, async file I/O | ||
| await self._update_manifest(package_name, version_constraint) | ||
|
|
||
| self._print_success("✓ Conflict resolved successfully") |
There was a problem hiding this comment.
Success message shown even if action parsing fails.
If the action string doesn't match the expected pattern Use <package> <version>, the match will be None, and no manifest update occurs. However, the success message on line 720 is still printed outside the if match: block, potentially misleading the user.
🔧 Proposed fix
if selected:
cx_print(f"Applying strategy {choice}...", "info")
action = selected.get("action", "")
# Parse the action string (e.g., "Use django 4.2.0")
match = re.search(r"Use\s+(\S+)\s+(.+)", action)
if match:
package_name = match.group(1)
# Strip syntax symbols for clean manifest writing
version_constraint = match.group(2).strip("^~ ")
# Call the helper method to perform safe, async file I/O
await self._update_manifest(package_name, version_constraint)
+ self._print_success("✓ Conflict resolved successfully")
+ else:
+ cx_print(
+ f"Could not parse action: '{action}'. Manual update may be required.",
+ "warning",
+ )
- self._print_success("✓ Conflict resolved successfully")
return 0🤖 Prompt for AI Agents
In @cortex/cli.py around lines 706 - 720, The success message is printed
unconditionally even when the action string doesn't match the expected pattern
and no manifest update occurs; ensure you only call self._print_success("✓
Conflict resolved successfully") after a successful parse and update by moving
that call inside the if match: block (the block that uses re.search(...) on
action, extracts package_name/version_constraint, and awaits
self._update_manifest(package_name, version_constraint)), and optionally add an
else branch to log or raise a warning when selected.get("action", "") fails to
match so users aren’t misled.
|
Anshgrover23
left a comment
Anshgrover23
left a comment
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@Kesavaraja67 Are u working on this PR its open from a while ago ? If then, kindly resolve conflicts.
4 participants
Fixes #154
/claim #154
Demo
📹 Short video demonstrating:
Video.Project.1.mp4
cortex deps resolvecommandpython -m pytest tests/test_resolver.py -v)Summary
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