fix: add unique constraint in task_logs for expense_group, add interval for next run #408
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (1)
apps/tasks/models.py (1)
Line range hint
14-37: Consider adding constraint violation handling.Since we're adding a unique constraint, the application should gracefully handle potential IntegrityError exceptions when attempting to create duplicate TaskLog entries.
Consider adding a custom save method to handle the constraint violation:
class TaskLog(models.Model): # ... existing fields ... + def save(self, *args, **kwargs): + try: + super().save(*args, **kwargs) + except IntegrityError as e: + if 'unique constraint' in str(e).lower(): + # Either update existing record or handle gracefully + existing_log = TaskLog.objects.filter(expense_group=self.expense_group).first() + if existing_log: + self.id = existing_log.id + return self.save(force_update=True) + raise
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📒 Files selected for processing (3)
apps/tasks/migrations/0010_alter_tasklog_expense_group.py(1 hunks)apps/tasks/models.py(1 hunks)apps/workspaces/queue.py(1 hunks)
🔇 Additional comments (5)
apps/tasks/migrations/0010_alter_tasklog_expense_group.py (2)
18-18: Verify the impact of null=True with unique=True
The combination of null=True and unique=True means:
- Multiple task logs can have NULL expense_group
- Non-NULL expense_group values must be unique
Ensure this behavior aligns with the business requirements and doesn't create data integrity issues.
Let's check the existing codebase for NULL handling patterns:
#!/bin/bash
# Description: Check how NULL expense_group values are handled in the codebase
# Look for TaskLog queries filtering on expense_group
rg -A 2 "TaskLog.*filter.*expense_group"
# Check for any null checks on expense_group
rg -A 2 "expense_group.*is.*[Nn]one"15-19:
Warning: Migration might fail if duplicate expense_group references exist
The addition of a unique constraint to an existing field could fail if there are duplicate values in the database. Before applying this migration in production:
- Ensure there are no duplicate expense_group references in existing tasklog entries
- Consider adding a data migration step to handle any duplicate entries
Let's verify if there are any duplicate expense_group values that could cause migration failure:
✅ Verification successful
Based on the results from the shell scripts, I can now generate the final response:
Migration appears safe to proceed with unique constraint
The codebase analysis shows that TaskLog is designed to have a one-to-one relationship with ExpenseGroup:
- No bulk creation operations found for TaskLog
- TaskLog creation patterns show single task log per expense group
- Existing filters in tests consistently use
.first()when querying by expense_group_id, indicating single record expectation
The unique constraint aligns with the current usage patterns in the codebase and appears to be formalizing an existing implicit constraint rather than introducing a breaking change.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Search for any SQL queries or model definitions that might indicate
# the possibility of multiple task logs per expense group
# Check for any direct SQL queries creating multiple task logs for same expense group
rg -l "INSERT.*INTO.*task.*log.*expense.*group"
# Check for any model usage patterns that might create multiple logs
ast-grep --pattern 'TaskLog.objects.create(expense_group=$_)'
# Look for batch creation patterns
rg -l "bulk_create.*TaskLog"
Length of output: 4835
Script:
#!/bin/bash
# Let's check for TaskLog creation patterns and model definition
# to understand the relationship between TaskLog and ExpenseGroup
# Check TaskLog model definition
rg -A 10 "class TaskLog"
# Check for TaskLog creation patterns
rg -A 3 "TaskLog.objects.create"
# Check for any bulk operations
rg -A 3 "TaskLog.objects.bulk_create"
# Look for unique constraint or validation checks
rg -A 3 "unique.*expense_group"
Length of output: 3853
apps/workspaces/queue.py (2)
60-60: LGTM! Improved scheduling logic.
The change ensures tasks are scheduled to run after the specified interval rather than immediately, which is more logical and prevents potential task overlap.
Let's verify the impact on existing scheduled tasks:
✅ Verification successful
Change to next_run calculation is safe and consistent with codebase patterns
The search results confirm that the modification to add hours delay to next_run in apps/workspaces/queue.py is consistent with existing patterns in the codebase:
- Other scheduling implementations also use delayed
next_runtimes:apps/workspaces/queue.pyalready uses a 10-minute delay in another caseapps/xero/queue.pyuses customstart_datetime
- The change aligns with the general pattern of scheduling tasks with appropriate delays rather than immediate execution
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for existing scheduled tasks that might be affected
# Look for Schedule objects and their next_run times
ast-grep --pattern 'Schedule.objects.filter($$$).update($$$next_run$$$)'
rg -A 2 'Schedule.*next_run'
Length of output: 105
Script:
#!/bin/bash
# Let's try a different approach to find schedule-related code
# First, let's look for the Schedule model definition
rg -l "class Schedule"
# Then search for any references to next_run field
rg "next_run"
# Also search for schedule_sync function implementation
ast-grep --pattern 'def schedule_sync($$$)'
Length of output: 1106
Line range hint 1-85: Verify interaction with task_logs unique constraint.
While the scheduling changes look good, please ensure that the modified scheduling intervals don't create any race conditions with the new unique constraint on task_logs.expense_group.
Let's check for potential interactions:
✅ Verification successful
No conflict between scheduling changes and task_logs constraints
Based on the code analysis:
- The scheduling code only creates one task log per workspace for a specific type (FETCHING_EXPENSES)
- The
update_or_createpattern used inrun_sync_scheduleensures no duplicate logs are created - The scheduling intervals only affect when the task runs, not how task logs are created or stored
The scheduling changes are safe and won't create race conditions with task_logs constraints.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for task_logs usage in scheduling context
# Look for connections between scheduling and task_logs
# Check for imports or usage of task_logs model
rg -l "task_logs"
# Check for expense_group references in scheduling context
rg -l "expense_group.*Schedule|Schedule.*expense_group"
# Look for task creation patterns that might affect task_logs
ast-grep --pattern 'TaskLog.objects.create($$$expense_group$$$)'
Length of output: 760
Script:
#!/bin/bash
# Let's check the task_logs model and its relationship with scheduling
ast-grep --pattern 'class TaskLog($$$)'
# Check the run_sync_schedule task implementation
ast-grep --pattern 'def run_sync_schedule($$$)'
# Check run_email_notification implementation
ast-grep --pattern 'def run_email_notification($$$)'
# Look for TaskLog creation in these specific files
rg "TaskLog.*create" apps/workspaces/tasks.py apps/workspaces/email.py
Length of output: 296
Script:
#!/bin/bash
# Let's check the specific TaskLog update_or_create usage and surrounding context
rg -A 10 -B 10 "TaskLog.*update_or_create" apps/workspaces/tasks.py
# Check if there are any unique constraints on TaskLog model
rg "class Meta.*unique_together" apps/tasks/models.py -A 5
# Look for any migrations adding unique constraints
rg "migrations.AddConstraint|unique_together" apps/tasks/migrations/
Length of output: 801
apps/tasks/models.py (1)
35-35: LGTM! Verify existing data before deployment.
The unique constraint addition is a good practice for maintaining data integrity, ensuring each ExpenseGroup is associated with only one TaskLog entry.
Let's verify there are no existing duplicate expense_group entries that could cause migration issues:
Description
add unique constraint in task_logs for expense_group, add interval for next run
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