Unit Tests for Storage Services
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
Research direction
Start by locating the storage services and their existing test structure, including the Hive-backed local database and cache code. Use the listed acceptance criteria as the test plan, covering wallet persistence, cache expiration, serialization, migrations, quotas, concurrency, synchronization, mocked backends, and error handling. Done means comprehensive tests cover these cases and pass.
Written by the indexing model from the issue text.
Description
Description:
Create comprehensive tests for data persistence and caching.
Acceptance Criteria:
- Test secure storage operations
- Test local database operations (Hive)
- Test cache management (TTL, expiration)
- Test data serialization/deserialization
- Test offline data synchronization
- Mock storage backends
- Test storage error handling
Test Cases to Cover:
- Saving and retrieving wallet data
- Cache hit/miss scenarios
- Data migration scenarios
- Storage quota handling
- Concurrent access patterns
- Dominant language
- Dart
- Stars
- 9
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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