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We reviewed changes in 9d1323c...f634b03 on this pull request. Below is the summary for the review, and you can see the individual issues we found as inline review comments.
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Dangerous default value [] as argument
Do not use a mutable like list or dictionary as a default value to an argument. Python’s default arguments are evaluated once when the function is defined. Using a mutable default argument and mutating it will mutate that object for all future calls to the function as well.
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Dangerous default value {} as argument
Do not use a mutable like list or dictionary as a default value to an argument. Python’s default arguments are evaluated once when the function is defined. Using a mutable default argument and mutating it will mutate that object for all future calls to the function as well.
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Dangerous default value [] as argument
Do not use a mutable like list or dictionary as a default value to an argument. Python’s default arguments are evaluated once when the function is defined. Using a mutable default argument and mutating it will mutate that object for all future calls to the function as well.
The reason will be displayed to describe this comment to others. Learn more.
Dangerous default value {} as argument
Do not use a mutable like list or dictionary as a default value to an argument. Python’s default arguments are evaluated once when the function is defined. Using a mutable default argument and mutating it will mutate that object for all future calls to the function as well.
The reason will be displayed to describe this comment to others. Learn more.
Dangerous default value [] as argument
Do not use a mutable like list or dictionary as a default value to an argument. Python’s default arguments are evaluated once when the function is defined. Using a mutable default argument and mutating it will mutate that object for all future calls to the function as well.
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Method doesn't use the class instance and could be converted into a static method
The method doesn't use its bound instance. Decorate this method with @staticmethod decorator, so that Python does not have to instantiate a bound method for every instance of this class thereby saving memory and computation. Read more about staticmethods here.
get_low_stock accepts categories but returns all low-stock products regardless. This creates silent logic errors in alerting workflows and contradicts the method contract.
Either implement category-aware filtering or remove the parameter and update the docstring to match real behavior.
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`except:` hides export errors and loses data
The broad catch in export_snapshot turns unexpected errors into logs and returns partial results. Downstream consumers may trust incomplete inventory snapshots and make incorrect operational decisions.
Catch specific expected exceptions only, and raise or return an explicit failure status for unexpected exceptions.
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String-formatted `query` enables SQL injection
get_unread builds SQL using % formatting, so malicious recipient values can inject clauses like OR 1=1. That can bypass recipient filtering and expose notifications across accounts.
Replace with a parameterized statement and bound arguments: ... WHERE recipient = ? AND read = 0, then pass (recipient,) to conn.execute
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Bare `except:` hides database and programming failures
The bare handler swallows unexpected exceptions and returns [], masking operational failures and making incidents hard to detect. It can silently drop notification visibility for users.
Catch sqlite3.Error explicitly and log exception details with logger.exception; re-raise non-database exceptions so defects fail fast
generate_summary_stats accepts group_by but never uses it. Consumers expecting per-group metrics receive ungrouped totals, which can mislead business decisions and tests may miss semantic mismatch.
Implement grouping logic keyed by group_by, or remove the parameter and update docstring/type contract to avoid false expectations
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