Plan: add typing #2235
Plan: add typing #2235
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WalkthroughThe pull request introduces type annotations and structural modifications to the Changes
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🚧 Files skipped from review as they are similar to previous changes (1)
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Actionable comments posted: 0
🔭 Outside diff range comments (1)
ocp_resources/plan.py (1)
Type hints need improvement in
to_dictmethodThe type hints are mostly complete and well-structured, but there are two specific issues:
- The
to_dictmethod is incorrectly typed as-> Nonewhen it should return a dictionary- The
virtual_machines_listcould use a more specific type thanlist[Any]since we know its structure from the docstringSpecific locations:
to_dict(self) -> Noneshould beto_dict(self) -> dict[str, Any]virtual_machines_list: list[Any]could be improved tolist[dict[str, str]]based on the example[{"id": "vm-id-x"}, {"name": "vm-name-x"}]🔗 Analysis chain
Line range hint
1-96: Verify typing coverage is completeWhile the current type additions are good, let's verify we haven't missed any opportunities for typing.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Check for any remaining untyped function definitions or variables rg "def [^(]+\([^:]+\)" ocp_resources/plan.py # Check for any Any types that could be more specific rg "Any" ocp_resources/plan.py # Check for consistency in type hints rg "-> None" ocp_resources/plan.pyLength of output: 770
Script:
#!/bin/bash # Let's get more context around the function definitions and their return types rg -A 2 "def " ocp_resources/plan.py # Check for variable annotations rg ":.+" ocp_resources/plan.py # Get the full class definition to see all methods ast-grep --pattern 'class Plan { $$$ }'Length of output: 3234
🧹 Nitpick comments (3)
ocp_resources/plan.py (3)
29-45: Consider using a more specific type for virtual_machines_listWhile the type hints are generally well-implemented, the
list[Any]forvirtual_machines_listcould be more specific. The docstring indicates it should be a list of dicts with specific keys.Consider using TypedDict to better type the VM entries:
from typing import TypedDict, Union class VMEntry(TypedDict, total=False): id: str name: str hooks: list[dict[str, Any]] # Then in __init__: virtual_machines_list: list[VMEntry] | None = None
Line range hint
64-74: Consider moving generate_hook_spec outside initWhile the type hints are good, having
generate_hook_specnested inside__init__reduces maintainability and testability. Consider making it a private class method.@classmethod def _generate_hook_spec(cls, hook_name: str, hook_namespace: str, hook_type: str) -> dict[str, Any]: return { "hook": { "name": hook_name, "namespace": hook_namespace, }, "step": hook_type, }
94-96: Consider adding runtime type validation for VM entriesWhile the type hints help with static analysis, consider adding runtime validation for the VM dictionary structure before applying hooks.
def _validate_vm_entry(vm: dict) -> None: if not isinstance(vm, dict): raise TypeError("VM entry must be a dictionary") if not any(key in vm for key in ('id', 'name')): raise ValueError("VM entry must contain either 'id' or 'name'") # Then in the loop: for vm in self.virtual_machines_list: _validate_vm_entry(vm) vm["hooks"] = self.hooks_array
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ocp_resources/plan.py(5 hunks)
🔇 Additional comments (1)
ocp_resources/plan.py (1)
1-1: LGTM: Appropriate typing import added
The Any type import is correctly added to support the new type hints in the code.
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Actionable comments posted: 2
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📒 Files selected for processing (2)
.gitignore(1 hunks)ocp_resources/resource.py(4 hunks)
✅ Files skipped from review due to trivial changes (1)
- .gitignore
🔇 Additional comments (1)
ocp_resources/resource.py (1)
Line range hint 617-635: Verify the impact of type changes
The type changes from "Resource" to Any in both __enter__ and deploy methods could affect code that depends on these methods. Let's verify the impact.
✅ Verification successful
Based on the search results, I can now generate the final response:
Type changes appear to be safe
The type changes from "Resource" to Any in both __enter__ and deploy methods are safe because:
- No explicit return type annotations were found in the codebase for these methods
- The actual usage patterns show these methods are used in simple deployment scenarios:
- Basic deployment calls:
ns.deploy() - Context manager usage that relies on the deploy result
- Basic deployment calls:
- The return value is only used for assertions or stored in variables without type constraints
The change to Any actually makes the type more permissive and won't break existing code, as it allows for any return type from these methods.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Find usages of these methods to assess the impact of type changes
# Search for method calls
echo "Searching for __enter__ method calls..."
rg -p ".__enter__\(\)" --type python
echo "Searching for deploy method calls..."
rg -p "\.deploy\(" --type python
# Search for type hints using Resource
echo "Searching for type hints using Resource..."
rg -p "-> .*Resource.*" --type python
Length of output: 847
Script:
#!/bin/bash
# Let's try a different approach without file type filtering
# Search for method calls
echo "Searching for __enter__ method calls..."
rg ".__enter__\(\)"
echo "Searching for deploy method calls..."
rg "\.deploy\("
# Search for type hints using Resource
echo "Searching for type hints using Resource..."
rg "-> .*Resource"
# Let's also look for imports and class inheritance
echo "Searching for Resource imports and inheritance..."
rg "from.*Resource|class.*\(.*Resource.*\)"
Length of output: 69173
Script:
#!/bin/bash
# Let's search for type annotations and return types in Python files
echo "Searching for return type annotations..."
rg -p "def (deploy|__enter__).* -> " --type-list=py
# Let's also look for direct usage of these methods
echo "Searching for method calls with context..."
rg -p "with.*\.__enter__" -A 2
rg -p "\.deploy\(" -A 2
Length of output: 1173
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🧹 Nitpick comments (1)
ocp_resources/plan.py (1)
29-45: Consider using a more specific type for virtual_machines_listWhile the type hints are well-implemented, the
list[Any]forvirtual_machines_listcould be more specific to better document the expected structure.Consider creating a TypedDict for VM entries:
from typing import TypedDict class VirtualMachine(TypedDict, total=False): id: str name: str hooks: list[dict[str, Any]]Then update the parameter type:
- virtual_machines_list: list[Any] | None = None, + virtual_machines_list: list[VirtualMachine] | None = None,
📜 Review details
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Plan: Pro
📒 Files selected for processing (2)
ocp_resources/plan.py(4 hunks)ocp_resources/resource.py(4 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- ocp_resources/resource.py
🔇 Additional comments (3)
ocp_resources/plan.py (3)
1-1: LGTM: Appropriate typing import added
The addition of typing.Any import is necessary for the type hints being introduced.
119-127: LGTM: Well-structured hook specification generator
The _generate_hook_spec method is well-implemented with appropriate type hints and a clear, focused responsibility.
64-86: Consider edge case handling in hook assignment
The hook assignment logic looks good, but there's a potential edge case to verify.
The current implementation assumes that virtual_machines_list items are dictionaries that can accept a 'hooks' key. Let's verify this assumption across the codebase:
✅ Verification successful
Edge case handling in hook assignment is safe
The code is safe regarding the edge case concern. The docstring and type hints clearly document that virtual_machines_list is expected to be a list of dictionaries with a specific structure:
"""virtual_machines_list (list): A List of dicts, each contain
the Name Or Id of the source Virtual Machines to migrate.
Example: [ { "id": "vm-id-x" }, { "name": "vm-name-x" } ]"""The implementation correctly:
- Checks for both
hooks_arrayandvirtual_machines_listbeing truthy before assignment - Uses the documented dictionary structure, which is later serialized in
to_dict()method under the "vms" key - Follows the example format where each VM entry is already a dictionary
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for virtual_machines_list usage to verify the structure
rg -A 5 "virtual_machines_list" --type python
Length of output: 76
Script:
#!/bin/bash
# Search for virtual_machines_list usage without file type restriction
rg -A 5 "virtual_machines_list"
Length of output: 2213
Script:
#!/bin/bash
# Search for the class/file where virtual_machines_list is defined
ast-grep --pattern 'class $_ {
$$$
virtual_machines_list = $$$
$$$
}'
Length of output: 77
Script:
#!/bin/bash
# Look for dictionary operations on virtual_machines_list items
rg "virtual_machines_list.*\[.*\].*\[.*\]|virtual_machines_list.*\[.*\].*\."
Length of output: 78
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…nto Plan-add-typing
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Actionable comments posted: 0
🧹 Nitpick comments (3)
ocp_resources/plan.py (3)
Line range hint
7-22: Update docstring to reflect optional parametersThe docstring should indicate which parameters are optional since all parameters have None as default value.
Consider updating the parameter descriptions to include "(optional)" for each optional parameter, for example:
- source_provider_name (str): MTV Source Provider CR name. + source_provider_name (str, optional): MTV Source Provider CR name.
64-64: Consider a more descriptive name for hooks_arrayThe variable name
hooks_arraycould be more descriptive of its purpose.Consider renaming to
hook_specificationsorvm_hooksto better reflect its content and usage.
84-86: Optimize hook application logicThe current implementation modifies each VM dictionary individually, which could be inefficient for large lists.
Consider setting hooks once in the VM template:
- if self.hooks_array and self.virtual_machines_list: - for vm in self.virtual_machines_list: - vm["hooks"] = self.hooks_array + if self.hooks_array and self.virtual_machines_list: + vm_template = {"hooks": self.hooks_array} + self.virtual_machines_list = [ + {**vm, **vm_template} for vm in self.virtual_machines_list + ]
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📒 Files selected for processing (1)
ocp_resources/plan.py(4 hunks)
🔇 Additional comments (3)
ocp_resources/plan.py (3)
1-1: LGTM: Import changes are appropriate
The addition of typing.Any import is necessary for the new type hints being introduced.
29-45: LGTM: Type hints are well-structured
The type hints follow modern Python typing practices:
- Appropriate use of union types with None for optional parameters
- Correct typing for heterogeneous list with Any
- Proper return type annotation for the constructor
119-126: Consider using consistent dictionary format
As mentioned in the previous review, consider using the same format as the class generator for consistency.
The current implementation is functionally correct, but for consistency with the rest of the codebase, consider:
- def _generate_hook_spec(self, hook_name: str, hook_namespace: str, hook_type: str) -> dict[str, Any]:
- return {
- "hook": {
- "name": hook_name,
- "namespace": hook_namespace,
- },
- "step": hook_type,
- }
+ def _generate_hook_spec(self, hook_name: str, hook_namespace: str, hook_type: str) -> dict[str, Any]:
+ return {
+ "hook": {
+ "name": hook_name,
+ "namespace": hook_namespace,
+ },
+ "step": hook_type,
+ }
|
/verified |
Summary by CodeRabbit
New Features
Planclass constructor, improving clarity on expected input types.hooks_arrayattribute to store hook specifications..gitignorefor ignoring the.local_dev/directory.Bug Fixes
hooks_arrayandvirtual_machines_listare present before proceeding.Changes
__enter__anddeploymethods in theResourceclass toAny, broadening expected return values.