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fix: Add input validation and bounds checking to parsing methods #990
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Addressed null and length checks during string splitting across multiple model classes to prevent potential null pointer exceptions and array out-of-bounds errors
WalkthroughDefensive input validation was added across several parsers to prevent out-of-bounds access: SSH config token extraction, package upgrade parsers, CPU core line parsing, and process binary extraction. One comment typo was corrected. Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Poem
Pre-merge checks✅ Passed checks (3 passed)
📜 Recent review detailsConfiguration used: Organization UI Review profile: CHILL Plan: Pro 📒 Files selected for processing (1)
🚧 Files skipped from review as they are similar to previous changes (1)
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Actionable comments posted: 1
🤖 Fix all issues with AI Agents
In @lib/data/model/pkg/upgrade_info.dart:
- Line 65: The early-return guards in _parsePacman, _parseOpkg, and _parseApk
can exit before initializing the late fields package, nowVersion, newVersion,
and arch, causing LateInitializationError; update each parser so that on
malformed input you either (a) assign safe default values to package,
nowVersion, newVersion, and arch before returning, or (b) throw a specific
parsing exception instead of returning, or (c) change those fields to nullable
and set them to null on early return—pick one consistent approach and apply it
to the three functions to ensure the fields are never left uninitialized.
📜 Review details
Configuration used: Organization UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (5)
lib/core/utils/ssh_config.dartlib/data/model/pkg/upgrade_info.dartlib/data/model/server/cpu.dartlib/data/model/server/proc.dartlib/data/provider/container.dart
🧰 Additional context used
📓 Path-based instructions (3)
lib/data/provider/**/*.dart
📄 CodeRabbit inference engine (CLAUDE.md)
Organize Riverpod providers by feature under lib/data/provider/
Files:
lib/data/provider/container.dart
lib/data/model/**/*.dart
📄 CodeRabbit inference engine (CLAUDE.md)
After modifying annotated model files, run: dart run build_runner build --delete-conflicting-outputs
Files:
lib/data/model/server/cpu.dartlib/data/model/server/proc.dartlib/data/model/pkg/upgrade_info.dart
lib/data/model/server/**/*.dart
📄 CodeRabbit inference engine (CLAUDE.md)
Place server management models under lib/data/model/server/
Files:
lib/data/model/server/cpu.dartlib/data/model/server/proc.dart
🧠 Learnings (2)
📚 Learning: 2025-10-08T09:36:41.682Z
Learnt from: CR
Repo: lollipopkit/flutter_server_box PR: 0
File: CLAUDE.md:0-0
Timestamp: 2025-10-08T09:36:41.682Z
Learning: Applies to lib/data/model/container/**/*.dart : Place container/Docker models under lib/data/model/container/
Applied to files:
lib/data/provider/container.dart
📚 Learning: 2025-10-08T09:36:41.682Z
Learnt from: CR
Repo: lollipopkit/flutter_server_box PR: 0
File: CLAUDE.md:0-0
Timestamp: 2025-10-08T09:36:41.682Z
Learning: Applies to lib/data/model/ssh/**/*.dart : Place SSH models under lib/data/model/ssh/
Applied to files:
lib/core/utils/ssh_config.dart
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
- GitHub Check: check
🔇 Additional comments (4)
lib/data/model/server/cpu.dart (1)
169-169: LGTM! Effective bounds check.The guard correctly prevents out-of-bounds access when parsing malformed CPU lines with fewer than 7 fields.
lib/data/model/server/proc.dart (1)
100-101: LGTM! Robust binary extraction.The refactored logic safely handles empty commands, whitespace-only input, and multiple spaces by filtering empty tokens before accessing the first element.
lib/data/provider/container.dart (1)
283-283: Nice catch on the typo.lib/core/utils/ssh_config.dart (1)
152-152: LGTM! Defensive token extraction.The early empty check at line 152 and the safe token access at line 157 prevent StateError on malformed jump host values.
Also applies to: 156-157
…ger output formats are invalid Modified the _pacman, _opkg, and _apk parsing methods to throw exceptions when input formats are invalid, rather than silently returning, to prevent potential error handling issues.
Multiple parsing methods in the codebase access array elements or split strings without properly validating inputs, which can cause
RangeErrororStateErrorexceptions when parsing unexpected input formats.Issue 1: Missing empty check in
Proc.binarygetterThe
binarygetter usescommand.split(' ')without checking if the command is empty. Ifcommandis empty,split()returns an empty list and accessingparts[0]throws aRangeError.Issue 2: Missing bounds checking in package manager parser methods
The
_parsePacman(),_parseOpkg(), and_parseApk()methods inupgrade_info.dartaccess array indices without checking if the split result has enough elements.Issue 3: Missing empty check in
_extractJumpHostmethodThe
_extractJumpHostmethod inssh_config.dartcallssplit(' ').firstwithout checking if the input is empty, which would throw aStateErroron an empty iterable.Issue 4: Missing bounds check in
SingleCpuCore.parse()The
parse()method incpu.dartaccessesmatches[0-6]without checking if the split result has at least 7 elements. If the CPU info line is malformed, this would throw aRangeError.Benefits
Input validation makes parsing intent obvious, catches malformed data early, unifies defensive patterns, and keeps the app stable.
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