feat: [#280] Add Time methods #733
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WalkthroughThis pull request introduces significant enhancements to the database schema management functionality across various components. New methods are added to the Changes
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## master #733 +/- ##
==========================================
+ Coverage 69.40% 69.47% +0.07%
==========================================
Files 210 210
Lines 17040 17257 +217
==========================================
+ Hits 11827 11990 +163
- Misses 4556 4610 +54
Partials 657 657 ☔ View full report in Codecov by Sentry. |
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Actionable comments posted: 3
🧹 Outside diff range and nitpick comments (28)
database/schema/grammars/utils.go (2)
13-14: Consider adding validation and documentation for Expression typeThe
Expressiontype could benefit from additional safety mechanisms since it's used in SQL context. Consider:
- Adding validation methods to ensure safe SQL expressions
- Including documentation about proper usage and potential risks
- Implementing it as a struct with validation rather than a simple type alias
Example implementation:
// Expression represents a raw SQL expression that will be inserted directly into queries. // IMPORTANT: Only use this for trusted input to prevent SQL injection. type Expression struct { value string } func NewExpression(value string) (Expression, error) { // Add validation logic here return Expression{value: value}, nil } func (e Expression) String() string { return e.value }
36-42: Add documentation for default value handlingConsider adding documentation to explain the type handling behavior, especially for the Expression type which bypasses quotes.
+// getDefaultValue converts various types to their SQL default value representation. +// Special handling: +// - bool: converted to '1' or '0' +// - Expression: used as-is without quotes (careful: must be trusted input) +// - others: wrapped in quotes after string conversion func getDefaultValue(def any) string {contracts/database/schema/column.go (2)
8-9: Consider adding type constraints for default valuesThe
Default(def any)method usesanytype which provides flexibility but might lead to runtime errors if incompatible types are provided for specific column types.Consider creating specific methods for common default value types or adding runtime type checking, for example:
-Default(def any) ColumnDefinition +Default(def any) ColumnDefinition // For backward compatibility +DefaultString(def string) ColumnDefinition +DefaultInt(def int) ColumnDefinition +DefaultTime(def time.Time) ColumnDefinition
Line range hint
1-53: Interface changes look good overall!The additions maintain good interface design principles with consistent method chaining, clear documentation, and focused functionality for time-related features.
Consider adding code examples in the interface documentation to demonstrate typical usage patterns of these new time-related methods together.
database/schema/column.go (3)
38-42: Consider adding type validation for timestamp defaultsWhile the implementation is correct, consider adding validation for timestamp-related default values to prevent runtime issues with incompatible types.
func (r *ColumnDefinition) Default(def any) schema.ColumnDefinition { + // Validate timestamp-related defaults + if r.GetType() == "timestamp" || r.GetType() == "datetime" { + switch def.(type) { + case string, time.Time, nil: + // valid types + default: + panic("Invalid default value type for timestamp column") + } + } r.def = def return r }
92-94: Add documentation for expected return typesConsider adding documentation to clarify the expected types that can be returned by GetOnUpdate().
+// GetOnUpdate returns the ON UPDATE clause value. +// The return value can be: +// - string: for constant values +// - time.Time: for specific timestamps +// - nil: when no ON UPDATE clause is set func (r *ColumnDefinition) GetOnUpdate() any { return r.onUpdate }
154-158: Consider adding validation for ON UPDATE valuesSimilar to the Default method, consider adding validation for the ON UPDATE values to ensure they are compatible with timestamp columns.
func (r *ColumnDefinition) OnUpdate(value any) schema.ColumnDefinition { + // Validate ON UPDATE values + if r.GetType() == "timestamp" || r.GetType() == "datetime" { + switch value.(type) { + case string, time.Time, nil: + // valid types + default: + panic("Invalid ON UPDATE value type for timestamp column") + } + } r.onUpdate = value return r }contracts/database/schema/grammar.go (1)
Line range hint
42-77: Consider interface segregation in future iterationsWhile the current additions are well-structured, the Grammar interface is growing quite large. Consider splitting it into more focused interfaces in future iterations (e.g., separating type definitions from other grammar operations) to improve maintainability and follow the Interface Segregation Principle.
support/carbon/carbon.go (1)
145-145: LGTM! Consider adding timezone conversion test cases.The change to use
getTimezone(nil)aligns with the package's consistent timezone handling pattern. This ensures that the timezone behavior matches other time conversion functions in the package.Consider adding test cases to verify the timezone conversion behavior, especially for:
- Converting time.Time with different source timezones
- Behavior when default timezone is set vs. unset
- UTC fallback behavior
func TestFromStdTime(t *testing.T) { // Test with default timezone SetTimezone("America/New_York") utcTime := time.Now().UTC() carbonTime := FromStdTime(utcTime) assert.Equal(t, "America/New_York", carbonTime.Timezone()) // Test with UTC fallback SetTimezone("") carbonTime = FromStdTime(utcTime) assert.Equal(t, "UTC", carbonTime.Timezone()) }contracts/database/schema/blueprint.go (3)
74-77: LGTM! Consider documenting default column names.The soft delete methods are well-designed with flexible column naming.
Consider documenting the default column name (likely "deleted_at") in the interface comments to help implementers maintain consistency across different database drivers.
86-93: Enhance documentation for Timestamps methods.The timestamp methods are well-designed, but the Timestamps/TimestampsTz methods could benefit from more detailed documentation.
Consider adding more detailed comments for Timestamps/TimestampsTz to specify:
- The exact column names that will be created (created_at, updated_at)
- Whether the columns are nullable by default
- The default precision value if none is specified
Line range hint
18-93: Comprehensive time-related column support.The added methods provide a complete set of time-related column definitions that:
- Cover all common database time types (date, time, datetime, timestamp)
- Support timezone variants consistently
- Include soft delete functionality
- Follow established ORM patterns
Consider adding examples to the package documentation showing common use cases for these time-related methods, particularly around timezone handling and precision specifications.
database/schema/grammars/sqlite.go (1)
Missing test coverage for SQLite type methods
The SQLite implementation lacks comprehensive test coverage compared to other database grammars. While MySQL, PostgreSQL, and SQL Server have extensive type method tests, SQLite only has a test for
TypeEnum. Critical areas missing tests include:
- Date/time type methods and their delegation chains
- Integer type variants
- Text type variants
- Default value handling (especially CURRENT_TIMESTAMP in TypeTimestamp)
Locations needing test coverage:
database/schema/grammars/sqlite_test.go: Add test cases for all type methods following patterns from other grammar test files🔗 Analysis chain
Line range hint
172-261: Verify test coverage for new type methodsWhile the implementation is solid, ensure comprehensive test coverage for:
- Date/time type conversions
- Default value handling (especially CURRENT_TIMESTAMP)
- Type method delegation chains (e.g., DateTimeTz -> DateTime -> Timestamp)
Let's check the test coverage:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for related test files and coverage fd -g '*_test.go' -x rg -l 'TestType(Date|Time|Timestamp|Integer|String)'Length of output: 205
Script:
#!/bin/bash # Check if SQLite grammar has test coverage rg -l "sqlite_test.go" # Look for type-related tests in other grammar test files rg "func.*Test.*Type" ./database/schema/grammars/*_test.go -A 2 # Check if there are any type-related tests in SQLite implementation rg "Test.*Type" ./database/schema/grammars/sqlite_test.go || echo "No SQLite test file found"Length of output: 6911
database/schema/grammars/sqlserver.go (1)
304-326: LGTM! Consider adding documentation about type differences.The implementation correctly handles:
- Current timestamp defaults
- Precision for both types
- Proper type mapping (datetime/datetime2 vs datetimeoffset)
Consider adding comments to document the behavioral differences between these types, especially regarding timezone handling.
Add documentation like:
func (r *Sqlserver) TypeTimestamp(column schema.ColumnDefinition) string { + // Uses datetime2 when precision is specified, otherwise falls back to datetime + // datetime2 provides more precision and a larger date range than datetimedatabase/schema/grammars/sqlserver_test.go (2)
318-330: Consider adding more test cases for comprehensive coverageThe timestamp test covers basic scenarios well, but could be enhanced with additional cases:
- Test when
GetUseCurrent()returns false- Test behavior with custom default values
- Test with negative precision values to ensure proper error handling
Example additional test case:
func (s *SqlserverSuite) TestTypeTimestamp() { + // Test with GetUseCurrent() = false + mockColumn := mocksschema.NewColumnDefinition(s.T()) + mockColumn.EXPECT().GetUseCurrent().Return(false).Once() + mockColumn.EXPECT().GetPrecision().Return(3).Once() + s.Equal("datetime2(3)", s.grammar.TypeTimestamp(mockColumn)) + + // Test with custom default value + mockColumn = mocksschema.NewColumnDefinition(s.T()) + mockColumn.EXPECT().GetUseCurrent().Return(false).Once() + mockColumn.EXPECT().GetDefault().Return("2024-01-01").Once() + mockColumn.EXPECT().GetPrecision().Return(3).Once() + s.Equal("datetime2(3)", s.grammar.TypeTimestamp(mockColumn))
332-344: Add timezone-specific test casesWhile the basic functionality is tested, consider adding test cases that verify timezone-specific behaviors:
- Test with explicit timezone offsets
- Test with named time zones
- Test behavior when timezone conversion is needed
Example additional test case:
func (s *SqlserverSuite) TestTypeTimestampTz() { + // Test with explicit timezone offset + mockColumn := mocksschema.NewColumnDefinition(s.T()) + mockColumn.EXPECT().GetUseCurrent().Return(false).Once() + mockColumn.EXPECT().GetDefault().Return("2024-01-01 12:00:00 +00:00").Once() + mockColumn.EXPECT().GetPrecision().Return(3).Once() + s.Equal("datetimeoffset(3)", s.grammar.TypeTimestampTz(mockColumn))database/schema/grammars/postgres.go (2)
306-312: Consider documenting the precision parameterThe implementation correctly handles time types with and without time zones, including precision. Consider adding a comment explaining the valid precision range (0-6) for PostgreSQL time types.
Time-related types are partially tested, but coverage could be improved
The test suite shows coverage for
TypeTimestampandTypeTimestampTz, but lacks tests for:
TypeTimeandTypeTimeTzTypeDateTypeDateTimeandTypeDateTimeTz- Different precision values
- Edge cases in time zone handling
Consider adding test cases for these missing scenarios to ensure robust handling of all time-related data types.
🔗 Analysis chain
Line range hint
224-328: Ensure comprehensive test coverage for time-related edge casesWhile the implementation is solid, consider adding tests for the following scenarios:
- Different precision values for time/timestamp types
- Time zone handling edge cases
- Default value behavior with UseCurrent
- Interaction between these types and existing schema operations
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Check for existing test coverage rg -l "Test.*Type.*Time" --type goLength of output: 160
Script:
#!/bin/bash # Check the actual test coverage for time-related methods in postgres_test.go rg "func Test.*Time" database/schema/grammars/postgres_test.go -B1 -A10Length of output: 73
Script:
#!/bin/bash # Let's check all test functions in postgres_test.go to see the coverage rg "^func Test" database/schema/grammars/postgres_test.go -A2Length of output: 136
Script:
#!/bin/bash # Let's check the test suite structure and methods being tested rg "func \(.*PostgresSuite\)" database/schema/grammars/postgres_test.go -A2Length of output: 3659
database/schema/blueprint.go (3)
67-69: LGTM! Consider adding documentation.The Date, Time, and TimeTz methods are well-implemented with consistent patterns and proper handling of precision parameters. However, documentation would be beneficial to explain the behavior and usage of these methods.
Consider adding GoDoc comments for each method explaining:
- The purpose and SQL type generated
- The precision parameter behavior (for Time/TimeTz)
- Example usage
Also applies to: 251-258, 260-267
278-281: Consider making nullable behavior configurable.The Timestamps and TimestampsTz methods always create nullable columns. Consider adding an option to configure this behavior, as some applications might require non-nullable timestamp columns.
Example implementation:
-func (r *Blueprint) Timestamps(precision ...int) { +func (r *Blueprint) Timestamps(nullable bool, precision ...int) { + timestamp1 := r.Timestamp("created_at", precision...) + timestamp2 := r.Timestamp("updated_at", precision...) + if nullable { + timestamp1.Nullable() + timestamp2.Nullable() + } } -func (r *Blueprint) TimestampsTz(precision ...int) { +func (r *Blueprint) TimestampsTz(nullable bool, precision ...int) { + timestamp1 := r.TimestampTz("created_at", precision...) + timestamp2 := r.TimestampTz("updated_at", precision...) + if nullable { + timestamp1.Nullable() + timestamp2.Nullable() + } }Also applies to: 283-286
217-224: LGTM! Consider documenting soft delete behavior.The SoftDeletes and SoftDeletesTz methods are well-implemented, following standard soft delete patterns. Consider adding documentation to explain:
- The soft delete concept and usage
- How these columns integrate with the ORM's soft delete functionality
- The impact of timezone-aware vs non-timezone-aware columns
Also applies to: 226-233
database/schema/grammars/postgres_test.go (2)
394-400: LGTM! Well-structured test for timestamp without time zone.The test properly validates the timestamp SQL generation with precision and default value handling.
Consider adding test cases for:
- Different precision values
- When
useCurrentis false- Custom default values
func (s *PostgresSuite) TestTypeTimestamp() { - mockColumn := mocksschema.NewColumnDefinition(s.T()) - mockColumn.EXPECT().GetUseCurrent().Return(true).Once() - mockColumn.EXPECT().Default(Expression("CURRENT_TIMESTAMP")).Return(mockColumn).Once() - mockColumn.EXPECT().GetPrecision().Return(3).Once() - s.Equal("timestamp(3) without time zone", s.grammar.TypeTimestamp(mockColumn)) + s.Run("with current timestamp", func() { + mockColumn := mocksschema.NewColumnDefinition(s.T()) + mockColumn.EXPECT().GetUseCurrent().Return(true).Once() + mockColumn.EXPECT().Default(Expression("CURRENT_TIMESTAMP")).Return(mockColumn).Once() + mockColumn.EXPECT().GetPrecision().Return(3).Once() + s.Equal("timestamp(3) without time zone", s.grammar.TypeTimestamp(mockColumn)) + }) + + s.Run("with custom default", func() { + mockColumn := mocksschema.NewColumnDefinition(s.T()) + mockColumn.EXPECT().GetUseCurrent().Return(false).Once() + mockColumn.EXPECT().GetPrecision().Return(6).Once() + s.Equal("timestamp(6) without time zone", s.grammar.TypeTimestamp(mockColumn)) + }) }
402-408: LGTM! Well-structured test for timestamp with time zone.The test properly validates the timestamptz SQL generation with precision and default value handling.
Consider adding test cases similar to the timestamp without time zone suggestions above:
- Different precision values
- When
useCurrentis false- Custom default values
func (s *PostgresSuite) TestTypeTimestampTz() { - mockColumn := mocksschema.NewColumnDefinition(s.T()) - mockColumn.EXPECT().GetUseCurrent().Return(true).Once() - mockColumn.EXPECT().Default(Expression("CURRENT_TIMESTAMP")).Return(mockColumn).Once() - mockColumn.EXPECT().GetPrecision().Return(3).Once() - s.Equal("timestamp(3) with time zone", s.grammar.TypeTimestampTz(mockColumn)) + s.Run("with current timestamp", func() { + mockColumn := mocksschema.NewColumnDefinition(s.T()) + mockColumn.EXPECT().GetUseCurrent().Return(true).Once() + mockColumn.EXPECT().Default(Expression("CURRENT_TIMESTAMP")).Return(mockColumn).Once() + mockColumn.EXPECT().GetPrecision().Return(3).Once() + s.Equal("timestamp(3) with time zone", s.grammar.TypeTimestampTz(mockColumn)) + }) + + s.Run("with custom default", func() { + mockColumn := mocksschema.NewColumnDefinition(s.T()) + mockColumn.EXPECT().GetUseCurrent().Return(false).Once() + mockColumn.EXPECT().GetPrecision().Return(6).Once() + s.Equal("timestamp(6) with time zone", s.grammar.TypeTimestampTz(mockColumn)) + }) }database/schema/grammars/mysql_test.go (2)
322-336: Consider restructuring the DateTime tests for better readabilityWhile the test coverage is comprehensive, consider restructuring into separate test cases using a table-driven test approach for better readability and maintainability.
Example refactor:
func (s *MysqlSuite) TestTypeDateTime() { - mockColumn := mocksschema.NewColumnDefinition(s.T()) - mockColumn.EXPECT().GetPrecision().Return(3).Once() - mockColumn.EXPECT().GetUseCurrent().Return(true).Once() - mockColumn.EXPECT().Default(Expression("CURRENT_TIMESTAMP(3)")).Return(mockColumn).Once() - mockColumn.EXPECT().GetUseCurrentOnUpdate().Return(true).Once() - mockColumn.EXPECT().OnUpdate(Expression("CURRENT_TIMESTAMP(3)")).Return(mockColumn).Once() - s.Equal("datetime(3)", s.grammar.TypeDateTime(mockColumn)) - - mockColumn = mocksschema.NewColumnDefinition(s.T()) - mockColumn.EXPECT().GetPrecision().Return(0).Once() - mockColumn.EXPECT().GetUseCurrent().Return(false).Once() - mockColumn.EXPECT().GetUseCurrentOnUpdate().Return(false).Once() - s.Equal("datetime", s.grammar.TypeDateTime(mockColumn)) + tests := []struct { + name string + precision int + useCurrent bool + useOnUpdate bool + expectedType string + }{ + { + name: "with precision and current timestamp", + precision: 3, + useCurrent: true, + useOnUpdate: true, + expectedType: "datetime(3)", + }, + { + name: "without precision or timestamp", + precision: 0, + useCurrent: false, + useOnUpdate: false, + expectedType: "datetime", + }, + } + + for _, test := range tests { + s.Run(test.name, func() { + mockColumn := mocksschema.NewColumnDefinition(s.T()) + mockColumn.EXPECT().GetPrecision().Return(test.precision).Once() + mockColumn.EXPECT().GetUseCurrent().Return(test.useCurrent).Once() + mockColumn.EXPECT().GetUseCurrentOnUpdate().Return(test.useOnUpdate).Once() + + if test.useCurrent { + mockColumn.EXPECT().Default(Expression(fmt.Sprintf("CURRENT_TIMESTAMP(%d)", test.precision))).Return(mockColumn).Once() + } + if test.useOnUpdate { + mockColumn.EXPECT().OnUpdate(Expression(fmt.Sprintf("CURRENT_TIMESTAMP(%d)", test.precision))).Return(mockColumn).Once() + } + + s.Equal(test.expectedType, s.grammar.TypeDateTime(mockColumn)) + }) + } }
376-390: Consider restructuring the Timestamp tests for better readabilitySimilar to the DateTime tests, the timestamp tests would benefit from a table-driven approach for improved readability and maintainability.
Example refactor (similar to the DateTime test refactor):
func (s *MysqlSuite) TestTypeTimestamp() { - mockColumn := mocksschema.NewColumnDefinition(s.T()) - mockColumn.EXPECT().GetPrecision().Return(3).Once() - mockColumn.EXPECT().GetUseCurrent().Return(true).Once() - mockColumn.EXPECT().Default(Expression("CURRENT_TIMESTAMP(3)")).Return(mockColumn).Once() - mockColumn.EXPECT().GetUseCurrentOnUpdate().Return(true).Once() - mockColumn.EXPECT().OnUpdate(Expression("CURRENT_TIMESTAMP(3)")).Return(mockColumn).Once() - s.Equal("timestamp(3)", s.grammar.TypeTimestamp(mockColumn)) - - mockColumn = mocksschema.NewColumnDefinition(s.T()) - mockColumn.EXPECT().GetPrecision().Return(0).Once() - mockColumn.EXPECT().GetUseCurrent().Return(false).Once() - mockColumn.EXPECT().GetUseCurrentOnUpdate().Return(false).Once() - s.Equal("timestamp", s.grammar.TypeTimestamp(mockColumn)) + tests := []struct { + name string + precision int + useCurrent bool + useOnUpdate bool + expectedType string + }{ + { + name: "with precision and current timestamp", + precision: 3, + useCurrent: true, + useOnUpdate: true, + expectedType: "timestamp(3)", + }, + { + name: "without precision or timestamp", + precision: 0, + useCurrent: false, + useOnUpdate: false, + expectedType: "timestamp", + }, + } + + for _, test := range tests { + s.Run(test.name, func() { + mockColumn := mocksschema.NewColumnDefinition(s.T()) + mockColumn.EXPECT().GetPrecision().Return(test.precision).Once() + mockColumn.EXPECT().GetUseCurrent().Return(test.useCurrent).Once() + mockColumn.EXPECT().GetUseCurrentOnUpdate().Return(test.useOnUpdate).Once() + + if test.useCurrent { + mockColumn.EXPECT().Default(Expression(fmt.Sprintf("CURRENT_TIMESTAMP(%d)", test.precision))).Return(mockColumn).Once() + } + if test.useOnUpdate { + mockColumn.EXPECT().OnUpdate(Expression(fmt.Sprintf("CURRENT_TIMESTAMP(%d)", test.precision))).Return(mockColumn).Once() + } + + s.Equal(test.expectedType, s.grammar.TypeTimestamp(mockColumn)) + }) + } }database/schema/grammars/mysql.go (2)
210-224: Simplify type assertions in ModifyOnUpdateIn the
ModifyOnUpdatefunction, you can simplify the type assertions by using thevaluevariable directly, avoiding unnecessary re-assertion.Apply this diff to simplify the code:
func (r *Mysql) ModifyOnUpdate(blueprint schema.Blueprint, column schema.ColumnDefinition) string { onUpdate := column.GetOnUpdate() if onUpdate != nil { switch value := onUpdate.(type) { case Expression: return " on update " + string(value) case string: - if onUpdate.(string) != "" { + if value != "" { return " on update " + value } } } return "" }
238-256: Refactor to eliminate code duplication between TypeDateTime and TypeTimestampThe
TypeDateTimeandTypeTimestampmethods share similar logic for handlingCURRENT_TIMESTAMP, precision, and setting default andOnUpdateexpressions. Consider refactoring to extract the common functionality into a helper function to reduce duplication and improve maintainability.Also applies to: 336-354
database/schema/schema_test.go (1)
1864-1864: Avoid hardcoding the expected number of columnsHardcoding the expected number of columns can make the test brittle if columns are added or removed in the future. Consider verifying the presence of expected columns without asserting the total count.
Modify the assertion to focus on required columns:
-s.Equal(32, len(columnListing)) +// s.Equal(32, len(columnListing)) // Avoid hardcoding the total number of columns
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⛔ Files ignored due to path filters (3)
mocks/database/schema/Blueprint.gois excluded by!mocks/**mocks/database/schema/ColumnDefinition.gois excluded by!mocks/**mocks/database/schema/Grammar.gois excluded by!mocks/**
📒 Files selected for processing (18)
contracts/database/schema/blueprint.go(2 hunks)contracts/database/schema/column.go(4 hunks)contracts/database/schema/grammar.go(2 hunks)database/gorm/test_utils.go(1 hunks)database/schema/blueprint.go(3 hunks)database/schema/column.go(6 hunks)database/schema/grammars/mysql.go(4 hunks)database/schema/grammars/mysql_test.go(6 hunks)database/schema/grammars/postgres.go(2 hunks)database/schema/grammars/postgres_test.go(1 hunks)database/schema/grammars/sqlite.go(2 hunks)database/schema/grammars/sqlserver.go(2 hunks)database/schema/grammars/sqlserver_test.go(1 hunks)database/schema/grammars/utils.go(2 hunks)database/schema/grammars/utils_test.go(1 hunks)database/schema/schema_test.go(30 hunks)foundation/application.go(0 hunks)support/carbon/carbon.go(2 hunks)
💤 Files with no reviewable changes (1)
- foundation/application.go
🔇 Additional comments (42)
database/schema/grammars/utils.go (1)
36-42: Verify Expression usage across the codebase
The implementation looks good, with proper type handling and consistent string wrapping. However, let's verify how the Expression type is being used across the codebase to ensure safe practices.
✅ Verification successful
Based on the output, I can now generate the final response as I have sufficient information about the Expression type usage across the codebase.
Expression type is used safely and consistently
The Expression type is primarily used for SQL-specific constants and timestamps, with consistent patterns:
- Used for
CURRENT_TIMESTAMPrelated operations across different SQL dialects - Applied in controlled contexts like column defaults and timestamp updates
- No instances of unsafe string conversions or user input handling
The implementation in getDefaultValue aligns with these established usage patterns, where Expression values are intentionally passed through without quotes for SQL keywords and functions.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check usage patterns of Expression type to ensure safe practices
# Find all usages of Expression type
echo "Checking Expression type usage patterns..."
rg -A 3 "Expression[^\"]*" --type go
# Look for potential unsafe string conversions to Expression
echo "Checking for potential unsafe conversions..."
ast-grep --pattern 'Expression($expr)' --type go
Length of output: 8106
database/schema/grammars/utils_test.go (1)
41-43: LGTM! Good test coverage for Expression handling.
The new test case appropriately verifies that Expression values are handled differently from regular strings, ensuring they're not wrapped in quotes. This is crucial for proper SQL generation.
Let's verify the Expression type definition and its usage:
✅ Verification successful
Expression type and its handling are correctly implemented
The verification confirms that:
Expressionis properly defined as a string type indatabase/schema/grammars/utils.gogetDefaultValuefunction correctly handlesExpressiontype by returning its raw string value without quotes- The type is widely used across multiple database grammar implementations (MySQL, PostgreSQL, SQLite, SQLServer)
The test case is valid and verifies the intended behavior where Expression values should be used as-is in SQL generation, unlike regular strings that get quoted.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify Expression type definition and its usage in SQL generation
# Expected: Find Expression type definition and its usage in SQL generation
# Find Expression type definition
ast-grep --pattern 'type Expression'
# Find Expression usage in SQL generation
rg -p 'Expression.*getDefaultValue|getDefaultValue.*Expression' -g '!*_test.go'
Length of output: 120
Script:
#!/bin/bash
# Let's try a broader search for Expression type and its usage
# Find Expression type definition with more context
rg -p "type Expression" -A 5
# Find files containing Expression usage
rg -l "Expression"
# Find getDefaultValue function definition and usage
rg -p "func getDefaultValue" -A 5
Length of output: 928
contracts/database/schema/column.go (2)
34-37: Standardize timestamp handling across databases
The timestamp-related methods (UseCurrent and UseCurrentOnUpdate) might behave differently across database systems, particularly regarding timezone handling and timestamp precision.
Let's verify the timestamp implementations:
Consider:
- Documenting timezone behavior for each supported database
- Adding methods to specify timestamp precision if needed
- Providing a way to configure default timestamp formats
Also applies to: 50-53
24-25: Enhance cross-database compatibility handling
The OnUpdate functionality is documented as MySQL-specific, but there's no runtime validation or handling for other database systems.
Let's verify how this is handled across different database implementations:
Consider:
- Adding runtime checks for database type
- Implementing graceful fallbacks for non-MySQL databases
- Documenting behavior for other database systems
Also applies to: 40-41
database/schema/column.go (3)
9-23: LGTM! Well-structured field additions
The new fields follow the established patterns in the struct:
- Consistent use of pointers where appropriate
- Alphabetical ordering
- Clear naming conventions
128-142: LGTM! Consistent implementation
The getter methods follow the established patterns in the codebase and properly handle nil pointer cases.
178-188: LGTM! Verify timestamp behavior in database drivers
The implementation is correct and consistent. However, ensure that the database drivers properly handle these timestamp behaviors.
✅ Verification successful
LGTM! Timestamp behavior is properly handled across database drivers
The implementation is verified to be correct. The codebase shows consistent handling of CURRENT_TIMESTAMP across all supported database drivers:
- MySQL: Handles precision and
ON UPDATEclause correctly - PostgreSQL: Implements both timezone and non-timezone variants
- SQLServer: Supports datetime2 and datetimeoffset with precision
- SQLite: Basic datetime support with
CURRENT_TIMESTAMP
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for timestamp behavior handling in database drivers
rg -g '*.go' -A 5 'CURRENT_TIMESTAMP|current_timestamp' ./database/
Length of output: 14294
contracts/database/schema/grammar.go (3)
42-47: LGTM: Date-related method declarations are well-structured
The date-related method declarations follow a logical progression and maintain consistency with the interface's existing type definition patterns.
70-73: LGTM: Time-related method declarations are properly defined
The time-related method declarations provide appropriate support for both regular and time zone aware time types.
74-77: LGTM: Timestamp-related method declarations are well-defined
The timestamp-related method declarations provide appropriate support for both regular and time zone aware timestamp types.
Let's verify that all database drivers implement these new methods:
✅ Verification successful
All database drivers implement the timestamp methods correctly
The verification confirms that both TypeTimestamp and TypeTimestampTz methods are properly implemented across all database drivers:
- MySQL: Both methods implemented (TypeTimestampTz delegates to TypeTimestamp)
- PostgreSQL: Both methods implemented with distinct implementations
- SQLite: Both methods implemented (TypeTimestampTz delegates to TypeTimestamp)
- SQLServer: Both methods implemented with distinct implementations
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check if all database drivers implement the new timestamp methods
# Expected: Each method should be implemented in MySQL, PostgreSQL, SQLite, and SQLServer drivers
# Search for TypeTimestamp implementations
echo "Checking TypeTimestamp implementations:"
rg "func.*TypeTimestamp.*ColumnDefinition.*string" -A 2
# Search for TypeTimestampTz implementations
echo "Checking TypeTimestampTz implementations:"
rg "func.*TypeTimestampTz.*ColumnDefinition.*string" -A 2
Length of output: 4666
support/carbon/carbon.go (1)
36-36: Verify the global timezone setting impact
The addition of carbon.SetDefault affects the global default timezone. While this ensures consistency between the local clock and the carbon library, it's important to verify that this global change doesn't cause unexpected behavior in other parts of the application.
Consider documenting this global behavior in the package documentation to make it clear to other developers that calling SetTimezone affects the entire application.
✅ Verification successful
Let's gather more specific information about the timezone usage to understand the potential impact.
Based on the gathered information, I can now provide a final response:
Global timezone setting is properly managed
The carbon.SetDefault usage in SetTimezone is safe and consistent with the application's design because:
- The timezone setting is centrally managed through the application's configuration (
app.timezone) - The framework properly initializes it during application bootstrap in
foundation/application.go - All timezone-sensitive operations consistently use this configuration
- Tests are properly configured to use UTC timezone, maintaining consistency
The change aligns the carbon library's default timezone with the application's configured timezone, which is the expected behavior.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for other uses of carbon.SetDefault or timezone-sensitive operations
rg -l "carbon\.SetDefault|\.Timezone|\.timezone" --type go
# Search for tests that might be affected by timezone changes
rg -l "Test.*Time|Test.*Date|Test.*Zone" --type go
Length of output: 836
Script:
#!/bin/bash
# Check how timezone is used in the affected files
rg -A 5 -B 5 "\.Timezone|\.timezone" --type go
# Check carbon usage in tests
rg -A 5 -B 5 "carbon\." support/carbon/carbon_test.go
# Check if there are any other SetDefault calls
ast-grep --pattern 'carbon.SetDefault($_)'
Length of output: 15065
contracts/database/schema/blueprint.go (2)
82-85: LGTM! Time methods are consistent with DateTime pattern.
The Time and TimeTz methods maintain consistency with the DateTime methods, including precision handling and timezone support.
18-23: LGTM! Verify precision handling across different databases.
The Date-related method signatures are well-designed and consistent with the interface's patterns. The optional precision parameter for DateTime/DateTimeTz is appropriate.
Let's verify how precision is handled across different database implementations:
✅ Verification successful
Precision handling is properly implemented across database implementations
The verification shows that precision handling for DateTime/DateTimeTz is correctly implemented:
- MySQL: Implements precision with
datetime(precision)format and handlesCURRENT_TIMESTAMP(precision) - PostgreSQL: Maps to timestamp types with precision support
- SQLite: Maps to timestamp type (SQLite internally handles precision)
- SQLServer: Maps to timestamp type with precision support
The implementation is consistent across different database grammars and follows each database's specific requirements for precision handling.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for DateTime/DateTimeTz precision handling in database-specific implementations
ast-grep --pattern 'func $_($$) {
$$$
DateTime($_, $$$)
$$$
}'
Length of output: 70
Script:
#!/bin/bash
# Let's try a broader search for DateTime implementations
rg -l "DateTime" --type go
# Then look for specific implementations
rg "DateTime.*\(" -A 5 --type go
Length of output: 56937
database/schema/grammars/sqlite.go (2)
244-250: Verify CURRENT_TIMESTAMP behavior across SQLite versions
The implementation correctly sets CURRENT_TIMESTAMP as default when UseCurrent is true. However, consider:
- SQLite's behavior with CURRENT_TIMESTAMP might vary between versions
- The timestamp precision might need documentation
Let's check for any version-specific handling:
✅ Verification successful
Let me search for SQLite-specific version handling and any potential precision configurations.
Let me check the SQLite test files specifically for timestamp-related test cases.
SQLite timestamp implementation is consistent with standard behavior
The implementation is correct and safe across SQLite versions because:
- SQLite stores timestamps internally as 'datetime' text format which is version-agnostic
- The
CURRENT_TIMESTAMPdefault value is a standard SQLite feature supported across all modern versions - The code correctly handles timezone variants by delegating them to the base timestamp implementation
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for SQLite version checks or timestamp precision handling
rg -g '*.go' 'sqlite.*version|CURRENT_TIMESTAMP|timestamp.*precision'
Length of output: 4745
Script:
#!/bin/bash
# Search for SQLite-specific configurations and version handling
rg -g '*.go' 'sqlite.*config|sqlite.*precision|sqlite.*datetime'
# Also check for any SQLite test cases related to timestamps
rg -g '*_test.go' -B 2 -A 2 'TypeTimestamp.*sqlite|datetime.*sqlite'
Length of output: 137
Script:
#!/bin/bash
# Check SQLite test files for timestamp handling
rg -g 'sqlite_test.go' -B 3 -A 3 'datetime|timestamp|CURRENT_TIMESTAMP'
# Also check the SQLite grammar implementation for any additional timestamp-related code
cat database/schema/grammars/sqlite.go
Length of output: 9710
224-230: Document integer type mapping implications
SQLite maps all integer types (TINYINT, SMALLINT, etc.) to a 64-bit INTEGER. This implementation is correct, but it has implications:
- Size constraints aren't enforced at the database level
- Memory usage might differ from other databases
Let's check if there are any size validations elsewhere in the codebase:
database/schema/grammars/sqlserver.go (4)
292-302: LGTM! Time type implementations align with SQL Server's behavior.
The implementation correctly:
- Handles time precision using
time(n)syntax - Delegates timezone-aware time to regular time type (as SQL Server doesn't have a separate time with timezone type)
288-290: LGTM! TypeText implementation is consistent with other text types.
The implementation correctly uses nvarchar(max), maintaining consistency with other text type implementations in the file.
Line range hint 218-326: Verify completeness of SQL Server type mappings.
Let's ensure all SQL Server date/time types are covered and consistently used across the codebase.
✅ Verification successful
SQL Server date/time type mappings are correctly and consistently implemented
The verification shows that:
- All SQL Server date/time types are properly mapped:
date,time,datetime,datetime2, anddatetimeoffset - Precision handling is consistent across the codebase
- Type delegation between related types (DateTime → Timestamp, TimeTz → Time) is correctly implemented
- The types are used consistently in tests and schema processors
- No unexpected direct string literals of these types are found outside of test fixtures and type definitions
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check for consistent usage of SQL Server date/time types
rg -g '*.go' -A 2 'Type(Date|Time|Timestamp)' | grep 'return'
# Verify no direct string literals of these types elsewhere
rg -g '*.go' '(datetime2|datetimeoffset|time\(\d+\))'
Length of output: 8082
218-229: LGTM! Date type implementations are correct.
The implementation correctly maps:
datetype for date-only values- DateTime and DateTimeTz properly delegate to their timestamp counterparts, maintaining SQL Server's datetime type system
✅ Verification successful
LGTM! Date type implementations align with SQL Server's type system
The implementation correctly follows SQL Server's datetime type system:
TypeDatereturns "date" for date-only valuesTypeDateTimeandTypeDateTimeTzproperly delegate to their timestamp counterparts which handle CURRENT_TIMESTAMP defaults- The implementation matches other database grammars (MySQL, PostgreSQL, SQLite) in the codebase
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Verify consistent date type handling across the codebase
ast-grep --pattern 'TypeDate($$$) {
return "date"
}'
Length of output: 56
Script:
#!/bin/bash
# Let's search for all TypeDate implementations in grammar files
rg "TypeDate.*string" -A 2
# Also check for any other date-related type methods
rg "Type(Date|DateTime|DateTimeTz).*string" -A 2
# Let's also verify the interface definition
rg "interface.*Grammar" -A 20
Length of output: 63868
Script:
#!/bin/bash
# Let's check the TypeTimestamp and TypeTimestampTz implementations in SQL Server grammar
rg "TypeTimestamp.*string" database/schema/grammars/sqlserver.go -A 2
rg "TypeTimestampTz.*string" database/schema/grammars/sqlserver.go -A 2
Length of output: 614
database/schema/grammars/sqlserver_test.go (1)
318-344: LGTM! Well-structured tests following established patterns
The new test methods maintain consistency with the existing test suite and follow good testing practices:
- Proper use of mocks and expectations
- Clear test scenarios
- Consistent with the file's testing patterns
- Good isolation of test cases
database/schema/grammars/postgres.go (3)
224-234: LGTM! Well-structured time type implementations
The implementation correctly maps:
datetype for dates without time- DateTime and DateTimeTz as aliases to their respective timestamp types, following SQL standards
302-304: LGTM! Simple and correct implementation
The TypeText method maintains its correct functionality while being relocated for better code organization.
314-328: Consider using a constant for CURRENT_TIMESTAMP
The implementation correctly handles timestamp types with proper precision and timezone support. However, consider:
- Defining
CURRENT_TIMESTAMPas a package-level constant to avoid string literals - Verifying that the
Expressiontype properly handles the default value setting
database/schema/blueprint.go (3)
71-78: LGTM! DateTime methods are well-implemented.
The DateTime and DateTimeTz methods follow consistent patterns and properly handle precision parameters.
Also applies to: 80-87
Line range hint 67-295: Verify integration with ORM and migrations.
The time-related methods look well-implemented. Let's verify their integration with the rest of the framework.
✅ Verification successful
Let's examine the actual usage in tests and ORM to verify the integration of these time-related methods.
Time-related methods are properly integrated and verified
The implementation is well-integrated with both the ORM and migrations:
- All time-related methods (
Date,DateTime,Timestamp, etc.) are thoroughly tested inschema_test.go - Proper integration with the ORM's soft deletes and timestamps through
database/orm/model.go:SoftDeletesstruct handlesdeleted_atTimestampsstruct handlescreated_atandupdated_atwith automatic time management
- Tests demonstrate correct usage with timezone support and precision parameters
- Integration with the
carbondatetime library for consistent time handling
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check integration points with ORM and migrations
# Check for migration tests using these methods
echo "Checking migration tests..."
rg -l "(?:Date|Time|Timestamp)" --type go --glob "*test.go"
# Check for ORM integration
echo "Checking ORM integration..."
rg -l "(?:deleted_at|created_at|updated_at)" --type go --glob "database/orm/**"
Length of output: 1313
Script:
#!/bin/bash
# Check implementation details in test files and ORM model
echo "Checking migration test implementations..."
rg "(?:Date|Time|Timestamp)" database/migration/sql_migrator_test.go database/schema/schema_test.go -C 2
echo "\nChecking ORM model timestamps..."
rg "(?:DeletedAt|CreatedAt|UpdatedAt)" database/orm/model.go -C 2
Length of output: 4065
269-276: Verify database compatibility for timestamp precision.
The implementation looks good, but different databases handle timestamp precision differently. Let's verify the implementation across different database drivers.
Also applies to: 288-295
✅ Verification successful
Based on the search results, I can now generate the final response since I have comprehensive information about how timestamp precision is handled across different database implementations:
Timestamp implementation is properly handled across all supported databases
The implementation correctly handles timestamp precision across different database drivers:
- PostgreSQL: Uses
timestamp(n) without time zoneformat with configurable precision - MySQL: Uses
timestamp(n)format with precision support and proper handling ofCURRENT_TIMESTAMP(n) - SQLite: Maps to
datetimetype as SQLite doesn't support precision - SQLServer: Uses
datetime2(n)for timestamps with precision, falls back todatetimewithout precision
The current implementation in Blueprint.Timestamp() properly abstracts these differences by:
- Creating a timestamp column with the database-specific type
- Handling precision parameter correctly for databases that support it
- Properly managing
CURRENT_TIMESTAMPdefaults when requested
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check how timestamp precision is handled across different database implementations
# Look for timestamp-related implementations in database grammars
echo "Checking timestamp handling in database grammars..."
rg -A 5 "timestamp|Timestamp" --type go
Length of output: 94207
database/schema/grammars/mysql_test.go (3)
35-35: LGTM: Consistent GetOnUpdate expectations
The added GetOnUpdate expectations are consistently implemented across test methods, properly handling the default nil case for new columns.
Also applies to: 77-77, 92-92, 227-227, 235-235
305-320: LGTM: Comprehensive OnUpdate modification tests
The TestModifyOnUpdate method provides excellent coverage of all possible scenarios:
- Expression type input
- String type input
- Empty string edge case
- Nil case
Line range hint 322-390: Consider adding tests for invalid precision values
Both DateTime and Timestamp tests could benefit from additional test cases covering invalid precision values (e.g., negative numbers) to ensure robust error handling.
Let's check if there are any precision validation checks in the implementation:
database/gorm/test_utils.go (1)
295-295: Timezone configuration change looks good
Changing the default timezone from "Local" to "UTC" aligns with best practices for database operations. Using UTC helps avoid timezone-related issues and ensures consistent timestamp handling across different environments.
Let's verify timezone configurations across other database drivers:
✅ Verification successful
Based on the search results, I can see that:
- The timezone configuration change from "Local" to "UTC" in MySQL mock is consistent with other database drivers:
- PostgreSQL uses "UTC" timezone in test configurations
- The application defaults to "UTC" timezone when config facade is not initialized
- The timezone setting is consistently used across the codebase for both MySQL and PostgreSQL drivers
- The change aligns with the codebase's overall timezone handling approach:
- The application's default timezone is UTC
- Database connections are configured to use UTC timezone
- Test configurations consistently use UTC timezone
Let me generate the final response:
Timezone configuration change is consistent with codebase
The change from "Local" to "UTC" for MySQL mock's timezone configuration is consistent with the rest of the codebase. All database drivers and test configurations use UTC timezone, which is the recommended approach for database operations.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check timezone configurations across database drivers
# Expected: PostgreSQL should use UTC, other drivers may have different configurations
# Check PostgreSQL timezone configuration
echo "PostgreSQL timezone configuration:"
rg -A 1 'timezone.*UTC'
# Check for any other timezone configurations
echo "Other timezone configurations:"
rg -A 1 'timezone|loc'
Length of output: 73785
database/schema/grammars/mysql.go (7)
30-30: ModifyOnUpdate modifier added to modifiers list
The ModifyOnUpdate function is appropriately added to the list of modifiers, ensuring that the ON UPDATE clause is handled correctly.
234-236: TypeDate method implemented correctly
The TypeDate method correctly returns the date type for date columns.
258-260: TypeDateTimeTz method correctly delegates to TypeDateTime
The TypeDateTimeTz method appropriately reuses the TypeDateTime method to handle datetime with timezone.
320-322: TypeText method reintroduced correctly
The TypeText method correctly returns the text type, ensuring support for text columns.
324-330: TypeTime method implemented correctly with precision handling
The TypeTime method correctly handles the precision property and returns the appropriate time type.
332-334: TypeTimeTz method correctly delegates to TypeTime
The TypeTimeTz method appropriately reuses the TypeTime method to handle time with timezone.
356-358: TypeTimestampTz method correctly delegates to TypeTimestamp
The TypeTimestampTz method appropriately reuses the TypeTimestamp method to handle timestamp with timezone.
database/schema/schema_test.go (5)
1283-1283: Check for potential nil pointer dereference
The test checks s.Nil(columnExtraAttribute.Nullable), but if Nullable is not a pointer, this could cause a nil pointer dereference. Ensure that Nullable is appropriately defined as a pointer type.
Confirm that Nullable is a pointer type in ColumnExtraAttribute struct.
1277-1287: 🛠️ Refactor suggestion
Avoid using time.Sleep in tests to prevent flakiness
Using time.Sleep in tests can lead to flaky tests and increased execution time. Consider mocking time or using synchronization techniques to control timing more precisely.
Refactor the test to avoid time.Sleep:
interval := int64(1)
// ...
-time.Sleep(time.Duration(interval) * time.Second)
+// Instead of sleeping, mock the time or adjust the test logic to avoid the need for sleepLikely invalid or redundant comment.
263-263: Verify default value representation for string columns
The default value for string_default is database-specific. Ensure that the test accounts for variations in default value representations across different drivers.
Run the following script to confirm the default value format:
✅ Verification successful
Default value representation is correctly handled per database driver
Based on the search results, the test file already accounts for different default value representations across database drivers:
- PostgreSQL:
'goravel'::character varying - MySQL:
goravel(without type casting) - SQL Server:
('goravel')
The test is correctly validating the driver-specific default value formats, and there's no issue to fix. The variations in default value representations are already being handled appropriately in the test suite.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the default value for 'string_default' column.
# Function to extract default values from column definitions
extract_default() {
driver=$1
table=$2
column=$3
# Adjust the command based on the driver's system table queries
case "$driver" in
postgres)
echo "SELECT column_default FROM information_schema.columns WHERE table_name='$table' AND column_name='$column';" | psql
;;
mysql)
echo "SELECT COLUMN_DEFAULT FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_NAME='$table' AND COLUMN_NAME='$column';" | mysql
;;
sqlite)
echo "PRAGMA table_info($table);" | sqlite3 | grep "$column"
;;
sqlserver)
# SQL Server command to extract default value
;;
esac
}
# Replace with actual driver, table, and column names
for driver in postgres mysql sqlite; do
extract_default $driver "your_table" "string_default"
done
Length of output: 1162
Script:
#!/bin/bash
# Let's analyze the test file and related schema files to understand the context better
# First, let's see the full test context
rg -B 5 -A 5 "'goravel'::character varying" database/schema/schema_test.go
# Look for string default value tests across different drivers
rg -A 5 "string_default" database/schema/
# Check for driver-specific test files or configurations
fd -t f ".*test.*" database/schema/
# Look for any driver-specific schema implementations
ast-grep --pattern 'func ($v $_) StringDefault($$$) {
$$$
}'
Length of output: 5340
757-757: Ensure default integer values are handled consistently
The default value assertion may fail if different databases represent default values differently. Consider normalizing the default value before assertion.
Use the following script to check the default value format:
209-209: Ensure consistent default value handling across databases
Directly using cast.ToInt(column.Default) may not be reliable due to differences in how defaults are represented in different databases. Consider parsing the default value appropriately for each driver.
Run the following script to check default value formats for integer_default across drivers:
There was a problem hiding this comment.
Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (4)
contracts/database/schema/index.go (1)
21-24: LGTM! Consider adding documentation.The new
IndexConfigstruct appropriately captures the configuration options available in theIndexDefinitioninterface. This is a good addition that allows index configurations to be stored and reused.Consider adding documentation comments to describe:
- The purpose of the struct
- The meaning and valid values for the Algorithm field
- Any constraints or relationships with the IndexDefinition interface
+// IndexConfig stores configuration for database indexes +// It matches the configuration options available in IndexDefinition type IndexConfig struct { + // Algorithm specifies the index algorithm (e.g., "BTREE", "HASH") Algorithm string + // Name specifies a custom name for the index Name string }contracts/database/schema/blueprint.go (1)
74-77: Enhance documentation for SoftDeletes methods.While the method signatures are correct, the documentation could be more specific about:
- The default column name when no parameter is provided
- The timestamp format/precision used
- The impact of timezone support in SoftDeletesTz
Consider updating the comments to:
-// SoftDeletes Add a "deleted at" timestamp for the table. +// SoftDeletes Add a "deleted at" timestamp for the table. Default column name is "deleted_at" if not specified. -// SoftDeletesTz Add a "deleted at" timestampTz for the table. +// SoftDeletesTz Add a "deleted at" timestampTz for the table. Default column name is "deleted_at" if not specified. Stores timezone information.database/schema/schema_test.go (2)
1822-1848: Document precision values and driver differencesThe time-related column tests use magic numbers for precision and lack documentation about driver-specific behaviors.
Consider these improvements:
+ // Define precision constants + const ( + defaultTimePrecision = 2 + defaultDateTimePrecision = 3 + ) - table.DateTime("date_time", 3).Comment("This is a date time column") + table.DateTime("date_time", defaultDateTimePrecision).Comment("This is a date time column") - table.Time("time", 2).Comment("This is a time column") + table.Time("time", defaultTimePrecision).Comment("This is a time column") - // Add documentation about driver differences + // Note: Time zone handling varies by driver: + // - PostgreSQL: Uses timestamptz for timezone-aware columns + // - MySQL: Stores in UTC and converts on read + // - SQLite: No native timezone support + // - SQL Server: Uses datetimeoffset
Line range hint
78-347: Improve test maintainability for driver-specific assertionsThe driver-specific column assertions have significant duplication and make it difficult to compare behavior across drivers.
Consider refactoring to use a table-driven approach:
+ type columnTypeTest struct { + name string + expectedTypes map[database.Driver]string + expectedNames map[database.Driver]string + assertions func(*suite.Suite, database.Column) + } + var timeColumnTests = []columnTypeTest{ + { + name: "timestamp_tz", + expectedTypes: map[database.Driver]string{ + database.DriverPostgres: "timestamp(2) with time zone", + database.DriverSqlite: "datetime", + database.DriverMysql: "timestamp(2)", + database.DriverSqlserver: "datetimeoffset(29)", + }, + assertions: func(s *suite.Suite, col database.Column) { + s.False(col.Autoincrement) + s.Empty(col.Collation) + // ... common assertions + }, + }, + // ... other column tests + }This would:
- Make it easier to maintain driver-specific type mappings
- Reduce code duplication
- Make differences between drivers more visible
- Simplify adding new column types
Also applies to: 383-592, 624-893, 929-1198
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (3)
contracts/database/schema/blueprint.go(2 hunks)contracts/database/schema/index.go(1 hunks)database/schema/schema_test.go(30 hunks)
🔇 Additional comments (3)
contracts/database/schema/index.go (1)
Line range hint 1-24: Verify PR description accuracy.
There appears to be a discrepancy between the PR title/description (which mentions adding time methods) and the actual changes (which add database index configuration). This might indicate:
- Missing files in the review
- Incorrect PR description
- Wrong branch/commits included
Let's verify the scope of changes:
contracts/database/schema/blueprint.go (2)
Line range hint 18-93: Verify coverage of time-related column types across supported databases.
The interface covers most common time-related column types. Let's verify if we have complete coverage for all supported databases.
✅ Verification successful
Time-related column types are comprehensively covered across all supported databases
Based on the search results, the interface provides complete coverage for all common time-related column types across the supported databases (MySQL, PostgreSQL, SQLite, and SQL Server):
- Basic date and time:
Date(),Time(),DateTime() - Timezone-aware variants:
TimeTz(),DateTimeTz(),TimestampTz() - Timestamps:
Timestamp(),Timestamps(),TimestampsTz()
The implementation is verified through:
- Grammar interfaces defining all time-related type methods
- Database-specific implementations in MySQL, PostgreSQL, SQLite, and SQL Server grammars
- Comprehensive test coverage validating the type mappings
- Support for precision parameters where applicable
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for any time-related column types in database-specific implementations that might not be covered
rg -i "time|date" --type go | grep -i "type" | grep -v "interface"
Length of output: 35023
18-23: LGTM! Verify precision parameter usage across different databases.
The Date/DateTime method signatures and documentation are well-defined. The optional precision parameter for DateTime/DateTimeTz follows database column definition standards.
Let's verify how precision is handled across different database implementations:
✅ Verification successful
Precision parameter is properly implemented across database implementations
Based on the verification results:
- The precision parameter is correctly handled in the base implementation (
database/schema/blueprint.go):- Both
DateTimeandDateTimeTzmethods properly store the precision value in the column definition
- Both
- Database-specific implementations handle precision appropriately:
- MySQL: Uses precision in
CURRENT_TIMESTAMP(precision)anddatetime(precision)formats - PostgreSQL: Maps to timestamp type (inherits precision handling)
- SQLServer: Maps to timestamp type (inherits precision handling)
- SQLite: Maps to timestamp type (inherits precision handling)
- MySQL: Uses precision in
- The implementation is consistent with other time-related methods in the codebase that use precision (Time, Timestamp, etc.)
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for DateTime/DateTimeTz precision handling in database-specific implementations
ast-grep --pattern 'func $_($$) {
$$$
precision $$$
$$$
}'
Length of output: 66
Script:
#!/bin/bash
# Let's search for implementations of DateTime/DateTimeTz methods
rg -A 5 "func.*Date[T|t]ime.*\(" --type go
Length of output: 21314
Script:
#!/bin/bash
# Also search for any precision-related code in database implementations
rg "precision" --type go
Length of output: 13371
Script:
#!/bin/bash
# Find all database-specific implementation files
fd ".*sql.*\.go$"
Length of output: 1022
📑 Description
Summary by CodeRabbit
New Features
Bug Fixes
Tests
✅ Checks