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feat/be/docker monitors, references #1139 #1150
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Auto Pull Request Review from LlamaPReview
1. Change Overview
1.1 Core Changes
- Primary purpose and scope: This PR introduces support for Docker monitors in the BlueWave Uptime monitoring tool, allowing users to track whether Docker containers are running.
- Key components modified:
Monitor.js
: Added a new monitor typedocker
.index.js
: ImportedDocker
fromdockerode
and updated the instantiation ofNetworkService
.package-lock.json
andpackage.json
: Addeddockerode
as a dependency.jobQueue.js
,networkService.js
,statusService.js
, andmessages.js
: Updated to support Docker type monitors.
- Cross-component impacts: The changes affect the monitoring, job queue, network service, and status service components.
- Business value alignment: Aligns with the need to monitor Docker containers, enhancing the tool's capabilities for DevOps teams.
1.2 Technical Architecture
- System design modifications: The introduction of Docker monitors requires updates to the data models, services, and job handling mechanisms.
- Component interaction changes:
NetworkService
now interacts with Docker containers viadockerode
. - Integration points impact: The job queue and status service have been updated to handle Docker-specific jobs and status checks.
- Dependency changes and implications: Adding
dockerode
as a new dependency introduces additional libraries and potentially new security and maintenance considerations.
2. Deep Technical Analysis
2.1 Code Logic Analysis
[Server/db/models/Monitor.js] - [Monitor Model Update]
- Submitted PR Code:
type: { type: String, required: true, enum: ["http", "ping", "pagespeed", "hardware", "docker"], },
- Analysis:
- The
type
field in theMonitor
model has been updated to includedocker
as a new enum value. - This change allows the system to recognize and handle Docker monitors.
- The
- LlamaPReview Suggested Improvements:
- No immediate changes needed; the addition is straightforward and correctly implemented.
[Server/index.js] - [Docker Service Integration]
- Submitted PR Code:
import Docker from "dockerode"; const networkService = new NetworkService(axios, ping, logger, http, Docker);
- Analysis:
Docker
fromdockerode
is imported and passed toNetworkService
.- This enables
NetworkService
to interact with Docker containers.
- LlamaPReview Suggested Improvements:
- Ensure that
Docker
is properly configured and error handling is in place for Docker-specific operations.
- Ensure that
[Server/service/networkService.js] - [Docker Container Status Check]
- Submitted PR Code:
async requestDocker(job) { const docker = new this.Docker({ socketPath: "/var/run/docker.sock" }); const container = docker.getContainer(job.data.url); const { response, responseTime, error } = await this.timeRequest(() => container.inspect() ); const dockerResponse = { monitorId: job.data._id, type: job.data.type, responseTime, }; if (error) { const code = error.statusCode || this.NETWORK_ERROR; dockerResponse.code = code; dockerResponse.status = false; dockerResponse.message = error.reason || errorMessages.DOCKER_FAIL; return dockerResponse; } dockerResponse.status = response?.State?.Status === "running" ? true : false; dockerResponse.code = 200; dockerResponse.message = successMessages.DOCKER_SUCCESS; return dockerResponse; }
- Analysis:
- The
requestDocker
method checks the status of a Docker container usingdockerode
. - It handles errors gracefully and returns a structured response.
- The
- LlamaPReview Suggested Improvements:
- Ensure that the Docker socket path is configurable to support different environments.
- Add more detailed logging for error scenarios.
2.2 Implementation Quality
-
Code Structure:
- The changes are well-organized and modular, adhering to existing design patterns.
- The new
docker
type is integrated seamlessly into the existing architecture.
-
Error Handling:
- The PR includes error handling for Docker-specific operations, which is crucial for robustness.
- However, additional logging and more detailed error messages could improve debugging.
-
Performance Considerations:
- The Docker status check is efficient, leveraging
dockerode
for container inspection. - Ensure that the Docker socket path is correctly configured and accessible to avoid performance bottlenecks.
- The Docker status check is efficient, leveraging
3. Risk Assessment
3.1 Critical Issues
🔴 P0 (Must Fix):
- Issue: Ensure that the Docker socket path is configurable.
- Impact:
- Technical implications: Hardcoding the Docker socket path may cause issues in different environments.
- Business consequences: May lead to deployment failures in environments where the Docker socket path differs.
- User experience effects: Users may encounter errors when setting up Docker monitors.
- Resolution:
- Specific code changes: Make the Docker socket path configurable via environment variables or configuration files.
- Configuration updates: Update documentation to include the new configuration option.
- Testing requirements: Test the configurable Docker socket path in different environments.
3.2 Important Improvements
🟡 P1 (Should Fix):
- Issue: Add more detailed logging for Docker-specific operations.
- Current Impact:
- Performance implications: Lack of detailed logging may make it harder to diagnose issues.
- Maintenance overhead: Increased time spent on debugging.
- Future scalability: May affect the ability to monitor and troubleshoot at scale.
- Suggested Solution:
- Implementation approach: Enhance logging in
requestDocker
to include more context about the error. - Migration strategy: Gradually roll out enhanced logging and monitor for any issues.
- Testing considerations: Test logging in various scenarios, including edge cases.
- Implementation approach: Enhance logging in
3.3 Minor Suggestions
🟢 P2 (Consider):
- Area: Documentation updates.
- Improvement Opportunity:
- Code quality enhancement: Update documentation to reflect the new Docker monitor type and its configuration options.
- Best practice alignment: Ensure that all new features are well-documented for users and developers.
- Documentation updates: Include guidelines on setting up Docker monitors and configuring the Docker socket path.
4. Requirements Analysis
4.1 Functional Coverage
- Requirements mapping:
- Implemented features: Support for Docker monitors, integration with
dockerode
, and updates to the job queue and status service. - Missing elements: None identified in the PR.
- Edge cases handling: Basic error handling is in place, but more detailed logging and configurability are needed.
- Implemented features: Support for Docker monitors, integration with
- Business Logic:
- Use case coverage: The PR covers the use case of monitoring Docker containers.
- Business rule implementation: The status check for Docker containers aligns with the business requirement to track whether containers are running.
- Data flow correctness: The data flow for Docker monitors is correctly integrated into the existing system.
4.2 Non-functional Aspects
- Performance metrics: The Docker status check is efficient and should not introduce significant performance overhead.
- Security considerations: Ensure that the Docker socket path is securely configured and not exposed to unauthorized access.
- Scalability factors: The changes should scale well with the existing architecture, but detailed logging and configurability will aid in monitoring and troubleshooting.
- Maintainability aspects: The code is well-organized and modular, adhering to existing design patterns, which aids maintainability.
5. Testing Strategy
- Test Coverage:
- Unit test requirements: Test the
requestDocker
method for various scenarios, including successful container inspection and different error cases. - Integration test scenarios: Test the end-to-end flow of creating and checking Docker monitors.
- Edge case validation: Validate edge cases such as invalid Docker image IDs and unreachable Docker daemons.
- Unit test requirements: Test the
- Quality Metrics:
- Current coverage: Ensure that the new Docker-specific code is covered by tests.
- Critical paths: Test the critical path of creating, checking, and updating Docker monitors.
- Performance benchmarks: Benchmark the performance of Docker status checks in different environments.
6. Final Assessment
6.1 Key Action Items
-
Critical Changes (P0):
- Make the Docker socket path configurable to support different environments.
-
Important Improvements (P1):
- Enhance logging in
requestDocker
to include more context about the error.
- Enhance logging in
-
Suggested Enhancements (P2):
- Update documentation to reflect the new Docker monitor type and its configuration options.
6.2 Overall Evaluation
- Technical assessment: The PR introduces a well-integrated and efficient Docker monitor feature. However, some critical and important improvements are needed for configurability and logging.
- Business impact: The new feature aligns well with business requirements, enhancing the tool's capabilities for DevOps teams.
- Risk evaluation: The risks are manageable with the suggested improvements.
- Implementation quality: The implementation is solid, adhering to existing design patterns and best practices. With the suggested improvements, the feature will be robust and maintainable.
WalkthroughThe pull request introduces several enhancements to the server's monitoring capabilities, particularly focusing on Docker support. Key changes include the addition of a new Changes
Possibly related issues
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Suggested reviewers
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Actionable comments posted: 5
🧹 Outside diff range and nitpick comments (6)
Server/package.json (1)
20-20
: Yo dawg, we need some Docker setup docs!Since dockerode requires specific permissions to access the Docker daemon (usually through Unix socket), we should ensure there's proper documentation for production deployment.
Consider adding:
- Required Docker permissions
- Unix socket configuration
- Security best practices for Docker daemon access
Would you like me to help create a Docker setup guide for the documentation?
Server/db/models/Monitor.js (1)
31-31
: Mom's spaghetti suggestion: Consider enhancing the schema for Docker-specific needs! 🐳The current schema might benefit from additional Docker-specific fields to support comprehensive container monitoring:
Consider adding these Docker-specific fields:
type: { type: String, required: true, enum: ["http", "ping", "pagespeed", "hardware", "docker"], }, url: { type: String, required: true, }, +dockerConfig: { + type: { + containerName: { type: String }, + healthCheckEndpoint: { type: String }, + resourceLimits: { + cpuLimit: { type: Number }, + memoryLimit: { type: String }, + }, + }, + required: function() { return this.type === 'docker' }, + _id: false, +}, thresholds: { type: { usage_cpu: { type: Number }, usage_memory: { type: Number }, usage_disk: { type: Number }, + container_restarts: { type: Number }, }, _id: false, },This would provide better structure for Docker-specific monitoring configuration and thresholds.
Also applies to: 33-35, 46-54
Server/utils/messages.js (1)
129-131
: Mom's spaghetti approves this success message! 🍝The Docker success message is well-crafted and consistently placed with other operation-specific success messages. However, consider adding more specific success messages for different Docker operations.
Consider adding these additional Docker success messages for better granularity:
// Docker DOCKER_SUCCESS: "Docker container status fetched successfully", +DOCKER_CONNECT_SUCCESS: "Successfully connected to Docker daemon", +DOCKER_CONTAINER_RUNNING: "Docker container is running", +DOCKER_CONTAINER_STOPPED: "Docker container is stopped",Server/service/statusService.js (2)
136-136
: Yo dawg, the basic integration looks solid but we could level up the docker monitoring game! 🎤The mapping of docker type to
createCheck
is clean and follows the same pattern as HTTP/ping monitors. This aligns well with the current focus on container running status.However, similar to how we handle hardware and pagespeed checks with additional metrics, we could enhance the docker monitoring by capturing container-specific stats.
Consider extending the
buildCheck
method to include docker metrics like:buildCheck = (networkResponse) => { // ... existing code ... + if (type === "docker") { + const { state, status, memory, cpu } = payload?.data ?? {}; + check.containerState = state; + check.containerStatus = status; + check.containerStats = { + memory, + cpu + }; + } return check; };
136-136
: Mom's spaghetti suggestion: Add documentation for the docker type! 📝The
insertCheck
method's JSDoc comments should be updated to include the docker type in the networkResponse.type description.* @param {Object} networkResponse - The network response object. * @param {string} networkResponse.monitorId - The monitor ID. - * @param {string} networkResponse.type - The type of the response. + * @param {string} networkResponse.type - The type of the response (http, ping, pagespeed, hardware, docker).Server/service/jobQueue.js (1)
183-184
: Yo dawg, these error handling changes are tight but we could make them even better!The use of the nullish coalescing operator (??) for error attribution is clean and consistent. However, we could enhance the error handling to capture more context about Docker-related failures.
Consider adding Docker-specific error context:
- service: error.service ?? SERVICE_NAME, - method: error.method ?? "createJobHandler", + service: error.service ?? SERVICE_NAME, + method: error.method ?? "createJobHandler", + context: { + isDockerMonitor: job.data?.type === 'docker', + containerId: job.data?.url, // Docker image ID is stored in url + errorType: error.code ?? 'unknown' + }This would help diagnose Docker-specific issues more effectively as we roll out the new monitor type.
📜 Review details
Configuration used: .coderabbit.yaml
Review profile: CHILL
⛔ Files ignored due to path filters (1)
Server/package-lock.json
is excluded by!**/package-lock.json
📒 Files selected for processing (7)
Server/db/models/Monitor.js
(1 hunks)Server/index.js
(3 hunks)Server/package.json
(1 hunks)Server/service/jobQueue.js
(1 hunks)Server/service/networkService.js
(3 hunks)Server/service/statusService.js
(1 hunks)Server/utils/messages.js
(2 hunks)
🧰 Additional context used
🪛 Biome
Server/service/networkService.js
[error] 188-188: Unnecessary use of boolean literals in conditional expression.
Simplify your code by directly assigning the result without using a ternary operator.
If your goal is negation, you may use the logical NOT (!) or double NOT (!!) operator for clearer and concise code.
Check for more details about NOT operator.
Unsafe fix: Remove the conditional expression with
(lint/complexity/noUselessTernary)
[error] 216-216: Other switch clauses can erroneously access this declaration.
Wrap the declaration in a block to restrict its access to the switch clause.
The declaration is defined in this switch clause:
Unsafe fix: Wrap the declaration in a block.
(lint/correctness/noSwitchDeclarations)
🔇 Additional comments (8)
Server/package.json (1)
20-20
: Yo, the dockerode dependency looks solid, but let's check those security implications!
The addition of dockerode 4.0.2 is appropriate for implementing Docker monitoring functionality. However, since it requires access to the Docker daemon, we should verify the security setup.
Server/db/models/Monitor.js (1)
31-31
: Yo dawg, the enum addition looks good! 🎯
The addition of "docker" type aligns with the PR objectives for Docker monitoring support.
Let's verify the Docker type handling in the codebase:
✅ Verification successful
Docker type is successfully integrated and all checks pass! 🎉
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check how the new docker type is handled across the codebase
# Search for docker type handling in services and controllers
echo "Checking docker type handling in services and controllers..."
rg -l "type\s*(?:===|==|equals?)\s*['\"]docker['\"]" --type js
# Look for Docker-specific validation or processing
echo "Checking for Docker-specific validation..."
rg -l "(?i)docker.*validation|validate.*docker" --type js
Length of output: 354
Script:
#!/bin/bash
# Description: Further check for Docker integration in the codebase
# Search for Docker-related functions or implementations
echo "Searching for Docker-related implementations..."
rg -i "docker" --type js
# Look for Docker configuration or setup files
echo "Searching for Docker configuration files..."
fd Docker --type f
Length of output: 2423
Server/utils/messages.js (1)
58-60
: Yo dawg, this error message is straight fire! 🔥
The Docker error message is clear, concise, and follows the existing error message patterns. It's properly placed in the operation-specific errors section.
Server/index.js (2)
134-134
: Mom's spaghetti moment - we need error handling! 🍝
While passing Docker to NetworkService is correct, we should ensure proper error handling for Docker daemon connection failures.
#!/bin/bash
# Description: Check for error handling in NetworkService
# Look for try-catch blocks around Docker operations
rg -A 5 "try.*{.*Docker"
# Check if NetworkService has error handling for Docker
ast-grep --pattern 'class NetworkService {
$$$
catch($_) {
$$$
Docker
$$$
}
$$$
}'
Consider implementing a fallback mechanism when Docker daemon is unavailable:
- Log the error but don't crash the service
- Mark Docker-based monitors as "unknown" status
- Retry connection to Docker daemon periodically
31-31
: Yo dawg, this Docker import looks legit! 🍝
The dockerode import is properly placed with other service dependencies. Let's make sure we've got our dependencies straight though.
Server/service/jobQueue.js (1)
Line range hint 1-424
: Yo, we need to prep this queue for the Docker heat! 🔥
While the current implementation will handle Docker monitors like any other type, we should consider adding Docker-specific enhancements:
- Job Retry Strategy: Docker operations might need different retry intervals compared to HTTP/ping monitors
- Resource Management: Docker operations could be more resource-intensive
- Error Classification: We should categorize Docker-specific errors (daemon connection issues, image pull failures, etc.)
Consider implementing a monitor-type-specific configuration:
const MONITOR_TYPE_CONFIG = {
docker: {
retryDelay: 30000, // longer retry for Docker ops
maxAttempts: 3, // limit retries for resource management
jobsPerWorker: 3 // fewer Docker jobs per worker
},
http: {
retryDelay: 5000,
maxAttempts: 5,
jobsPerWorker: 5
}
};
Let's check if there are any existing Docker-specific configurations:
Server/service/networkService.js (2)
11-11
: Seamless integration of Docker parameters into NetworkService.
You've introduced Docker into the constructor and class properties without missing a beat. The code flows smoothly, setting the stage for Docker functionality.
Also applies to: 16-16, 24-24
213-214
: Properly routed Docker requests in getStatus method.
Adding the TYPE_DOCKER
case to the getStatus
method ensures Docker monitors are handled appropriately, keeping the service in sync with new monitor types.
@@ -45,7 +46,7 @@ import NotificationService from "./service/notificationService.js"; | |||
|
|||
import db from "./db/mongo/MongoDB.js"; | |||
const SERVICE_NAME = "Server"; | |||
const SHUTDOWN_TIMEOUT = 0; | |||
const SHUTDOWN_TIMEOUT = 1000; |
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🛠️ Refactor suggestion
Timeout's looking kinda slim, chief! 🍝
While changing from 0 to 1000ms is an improvement, Docker operations might need more time to clean up gracefully. Consider increasing this value further.
-const SHUTDOWN_TIMEOUT = 1000;
+const SHUTDOWN_TIMEOUT = 5000; // 5 seconds to allow Docker containers to cleanup
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
const SHUTDOWN_TIMEOUT = 1000; | |
const SHUTDOWN_TIMEOUT = 5000; // 5 seconds to allow Docker containers to cleanup |
@@ -133,6 +133,7 @@ class StatusService { | |||
ping: this.db.createCheck, | |||
pagespeed: this.db.createPageSpeedCheck, | |||
hardware: this.db.createHardwareCheck, | |||
docker: this.db.createCheck, |
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💡 Codebase verification
Database schema does not support Docker check types.
Please update the schema to handle Docker monitors appropriately.
🔗 Analysis chain
Verify the database schema can handle the docker check type! 🎯
Let's ensure the database is ready for docker monitors.
Further investigation required to ensure Docker check support in the database schema.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check if the database schema supports docker type checks
# Search for schema definitions
rg -A 10 "createCheck|Check.*Schema"
# Look for any existing docker-related database operations
rg -A 5 "docker.*check"
Length of output: 28010
Script:
#!/bin/bash
# Description: Search for Docker-specific schemas or extensions of the Check schema
# Search for Docker-related schema definitions
rg "docker.*Schema"
# Search for usage of discriminators with Docker
rg "discriminator.*docker"
# Search for any Docker-related fields in Check schemas
rg "docker.*:"
Length of output: 2604
Server/service/networkService.js
Outdated
@@ -162,6 +164,33 @@ class NetworkService { | |||
return this.requestHttp(job); | |||
} | |||
|
|||
async requestDocker(job) { | |||
const docker = new this.Docker({ socketPath: "/var/run/docker.sock" }); |
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🛠️ Refactor suggestion
Security concern: Direct access to Docker socket.
Accessing /var/run/docker.sock
directly can pose significant security risks, as it may grant root-level access to the Docker daemon. Consider making the socket path configurable or adding authentication measures to mitigate potential vulnerabilities.
Apply this diff to make the socket path configurable:
- const docker = new this.Docker({ socketPath: "/var/run/docker.sock" });
+ const docker = new this.Docker({ socketPath: process.env.DOCKER_SOCKET_PATH || "/var/run/docker.sock" });
Ensure to set DOCKER_SOCKET_PATH
in your environment variables when deploying.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
const docker = new this.Docker({ socketPath: "/var/run/docker.sock" }); | |
const docker = new this.Docker({ socketPath: process.env.DOCKER_SOCKET_PATH || "/var/run/docker.sock" }); |
Server/service/networkService.js
Outdated
const err = new Error(`Unsupported type: ${job.data.type}`); | ||
err.service = this.SERVICE_NAME; | ||
err.method = "getStatus"; | ||
throw err; |
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Encapsulate default case to prevent variable leakage.
Declaring const err
directly within the default
case may lead to scope issues due to hoisting in switch statements. Wrapping the default
case in braces will keep err
scoped correctly.
Apply this diff to encapsulate the declaration:
default:
+ {
const err = new Error(`Unsupported type: ${job.data.type}`);
err.service = this.SERVICE_NAME;
err.method = "getStatus";
throw err;
+ }
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
const err = new Error(`Unsupported type: ${job.data.type}`); | |
err.service = this.SERVICE_NAME; | |
err.method = "getStatus"; | |
throw err; | |
{ | |
const err = new Error(`Unsupported type: ${job.data.type}`); | |
err.service = this.SERVICE_NAME; | |
err.method = "getStatus"; | |
throw err; | |
} |
🧰 Tools
🪛 Biome
[error] 216-216: Other switch clauses can erroneously access this declaration.
Wrap the declaration in a block to restrict its access to the switch clause.
The declaration is defined in this switch clause:
Unsafe fix: Wrap the declaration in a block.
(lint/correctness/noSwitchDeclarations)
Server/service/networkService.js
Outdated
async requestDocker(job) { | ||
const docker = new this.Docker({ socketPath: "/var/run/docker.sock" }); | ||
const container = docker.getContainer(job.data.url); | ||
|
||
const { response, responseTime, error } = await this.timeRequest(() => | ||
container.inspect() | ||
); | ||
|
||
const dockerResponse = { | ||
monitorId: job.data._id, | ||
type: job.data.type, | ||
responseTime, | ||
}; | ||
|
||
if (error) { | ||
const code = error.statusCode || this.NETWORK_ERROR; | ||
dockerResponse.code = code; | ||
dockerResponse.status = false; | ||
dockerResponse.message = error.reason || errorMessages.DOCKER_FAIL; | ||
return dockerResponse; | ||
} | ||
dockerResponse.status = response?.State?.Status === "running" ? true : false; | ||
dockerResponse.code = 200; | ||
dockerResponse.message = successMessages.DOCKER_SUCCESS; | ||
return dockerResponse; | ||
} |
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🛠️ Refactor suggestion
Strong implementation of Docker request handling, but consider simplifying the status assignment.
Your requestDocker
method captures the essence of Docker monitoring effectively. However, the assignment of dockerResponse.status
can be simplified for clarity.
Apply this diff to streamline the boolean expression:
- dockerResponse.status = response?.State?.Status === "running" ? true : false;
+ dockerResponse.status = response?.State?.Status === "running";
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
async requestDocker(job) { | |
const docker = new this.Docker({ socketPath: "/var/run/docker.sock" }); | |
const container = docker.getContainer(job.data.url); | |
const { response, responseTime, error } = await this.timeRequest(() => | |
container.inspect() | |
); | |
const dockerResponse = { | |
monitorId: job.data._id, | |
type: job.data.type, | |
responseTime, | |
}; | |
if (error) { | |
const code = error.statusCode || this.NETWORK_ERROR; | |
dockerResponse.code = code; | |
dockerResponse.status = false; | |
dockerResponse.message = error.reason || errorMessages.DOCKER_FAIL; | |
return dockerResponse; | |
} | |
dockerResponse.status = response?.State?.Status === "running" ? true : false; | |
dockerResponse.code = 200; | |
dockerResponse.message = successMessages.DOCKER_SUCCESS; | |
return dockerResponse; | |
} | |
async requestDocker(job) { | |
const docker = new this.Docker({ socketPath: "/var/run/docker.sock" }); | |
const container = docker.getContainer(job.data.url); | |
const { response, responseTime, error } = await this.timeRequest(() => | |
container.inspect() | |
); | |
const dockerResponse = { | |
monitorId: job.data._id, | |
type: job.data.type, | |
responseTime, | |
}; | |
if (error) { | |
const code = error.statusCode || this.NETWORK_ERROR; | |
dockerResponse.code = code; | |
dockerResponse.status = false; | |
dockerResponse.message = error.reason || errorMessages.DOCKER_FAIL; | |
return dockerResponse; | |
} | |
dockerResponse.status = response?.State?.Status === "running"; | |
dockerResponse.code = 200; | |
dockerResponse.message = successMessages.DOCKER_SUCCESS; | |
return dockerResponse; | |
} |
🧰 Tools
🪛 Biome
[error] 188-188: Unnecessary use of boolean literals in conditional expression.
Simplify your code by directly assigning the result without using a ternary operator.
If your goal is negation, you may use the logical NOT (!) or double NOT (!!) operator for clearer and concise code.
Check for more details about NOT operator.
Unsafe fix: Remove the conditional expression with
(lint/complexity/noUselessTernary)
There was a problem hiding this comment.
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (4)
Server/service/networkService.js (3)
11-24
: Yo! Add parameter validation for DockerThe constructor accepts a Docker parameter but doesn't validate it. Let's make sure it's legit before we store it.
constructor(axios, ping, logger, http, Docker) { + if (!Docker) { + throw new Error("Docker parameter is required"); + } this.TYPE_PING = "ping";
220-220
: Simplify that status check, fam!That ternary operation is doing too much. We can make it cleaner.
- dockerResponse.status = response?.State?.Status === "running" ? true : false; + dockerResponse.status = response?.State?.Status === "running";🧰 Tools
🪛 Biome
[error] 220-220: Unnecessary use of boolean literals in conditional expression.
Simplify your code by directly assigning the result without using a ternary operator.
If your goal is negation, you may use the logical NOT (!) or double NOT (!!) operator for clearer and concise code.
Check for more details about NOT operator.
Unsafe fix: Remove the conditional expression with(lint/complexity/noUselessTernary)
214-219
: Level up that error messaging game!The error handling is solid but could be more informative. Let's add specific messages for common Docker errors.
if (error) { dockerResponse.status = false; dockerResponse.code = error.statusCode || this.NETWORK_ERROR; - dockerResponse.message = error.reason || errorMessages.DOCKER_FAIL; + dockerResponse.message = this.getDockerErrorMessage(error); return dockerResponse; }Add this helper method:
getDockerErrorMessage(error) { switch(error.statusCode) { case 404: return "Container not found"; case 500: return "Docker daemon error"; default: return error.reason || errorMessages.DOCKER_FAIL; } }Server/tests/services/networkService.test.js (1)
222-227
: Avoid redefining 'Docker' within individual tests; stub methods instead.Redefining the 'Docker' class inside test cases can make the tests harder to maintain and understand. Instead, consider stubbing the
getContainer
method directly on the existing 'Docker' instance. This approach keeps the tests cleaner and focuses on the behaviour being tested.Example:
sinon.stub(networkService.Docker.prototype, 'getContainer').returns({ inspect: sinon.stub().resolves({ State: { Status: "stopped" } }), });
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Server/service/networkService.js
(4 hunks)Server/tests/services/networkService.test.js
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Server/service/networkService.js
[error] 220-220: Unnecessary use of boolean literals in conditional expression.
Simplify your code by directly assigning the result without using a ternary operator.
If your goal is negation, you may use the logical NOT (!) or double NOT (!!) operator for clearer and concise code.
Check for more details about NOT operator.
Unsafe fix: Remove the conditional expression with
(lint/complexity/noUselessTernary)
🔇 Additional comments (8)
Server/service/networkService.js (2)
232-237
: Clean error handling right there!
The error handling implementation is on point with proper context and message formatting.
Line range hint 249-262
: Let's make sure all monitor types are handled properly
The switch statement looks good, but let's verify we haven't missed any monitor types.
✅ Verification successful
All monitor types are properly handled in the getStatus
method. Nothing to stress about!
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify all monitor types are handled in getStatus
# Search for monitor type definitions across the codebase
echo "Searching for monitor type definitions..."
rg -g '!*.test.*' -g '!*.spec.*' "type.*=.*['\"](ping|http|pagespeed|hardware|docker)" --type js
# Search for potential unhandled monitor types
echo "Searching for potential unhandled monitor types..."
rg -g '!*.test.*' -g '!*.spec.*' "type.*=.*['\"](\w+)['\"]" --type js
Length of output: 8475
Server/tests/services/networkService.test.js (6)
6-6
: Initialized 'Docker' alongside other dependencies.
Including 'Docker' with 'axios', 'ping', and 'logger' sets up the necessary environment for Docker-related tests. This integration is essential for testing the new Docker monitor functionality.
15-19
: Mocked the 'Docker' class effectively for testing.
Creating a mock 'Docker' class with a stubbed getContainer
method that returns a resolved promise emulates Docker interactions accurately. This approach allows for controlled and reliable testing of Docker-related methods.
28-28
: Passed 'Docker' to 'NetworkService' constructor.
Updating the NetworkService
instantiation to include 'Docker' ensures that Docker functionalities are accessible within the service. This change aligns with the requirements for supporting Docker monitors.
211-259
: Added comprehensive tests for 'requestDocker' method.
The new test suite for requestDocker
covers various scenarios:
- Successful retrieval of Docker container status.
- Handling of non-running containers.
- Error handling during container inspection.
- Exception throwing when operations fail.
These tests enhance the reliability and robustness of the Docker monitoring implementation.
267-267
: Stubbed 'requestDocker' method in 'getStatus' tests.
Adding requestDocker
to the stubs ensures that when getStatus
is tested, it doesn't execute the actual implementation. This allows for testing the control flow without side effects, which is good practice in unit testing.
273-346
: Expanded 'getStatus' tests to handle 'docker' type.
Including test cases for the 'docker' monitor type ensures that getStatus
correctly delegates to requestDocker
. Additionally, the tests for unknown or undefined types enhance error handling verification. Together, these tests improve the robustness of the NetworkService
.
describe("requestDocker", () => { | ||
it("should return a response object if docker successful", async () => { | ||
const job = { data: { url: "http://test.com", _id: "123", type: "docker" } }; | ||
const dockerResult = await networkService.requestDocker(job); | ||
expect(dockerResult.monitorId).to.equal("123"); | ||
expect(dockerResult.type).to.equal("docker"); | ||
expect(dockerResult.responseTime).to.be.a("number"); | ||
expect(dockerResult.status).to.be.true; | ||
}); | ||
|
||
it("should return a response object with status false if container not running", async () => { | ||
Docker = class { | ||
getContainer = sinon.stub().returns({ | ||
inspect: sinon.stub().resolves({ State: { Status: "stopped" } }), | ||
}); | ||
}; | ||
networkService = new NetworkService(axios, ping, logger, http, Docker); | ||
const job = { data: { url: "http://test.com", _id: "123", type: "docker" } }; | ||
const dockerResult = await networkService.requestDocker(job); | ||
expect(dockerResult.status).to.be.false; | ||
expect(dockerResult.code).to.equal(200); | ||
}); | ||
|
||
it("should handle an error when fetching the container", async () => { | ||
Docker = class { | ||
getContainer = sinon.stub().returns({ | ||
inspect: sinon.stub().throws(new Error("test error")), | ||
}); | ||
}; | ||
networkService = new NetworkService(axios, ping, logger, http, Docker); | ||
const job = { data: { url: "http://test.com", _id: "123", type: "docker" } }; | ||
const dockerResult = await networkService.requestDocker(job); | ||
expect(dockerResult.status).to.be.false; | ||
expect(dockerResult.code).to.equal(networkService.NETWORK_ERROR); | ||
}); | ||
|
||
it("should throw an error if operations fail", async () => { | ||
Docker = class { | ||
getContainer = sinon.stub().throws(new Error("test error")); | ||
}; | ||
networkService = new NetworkService(axios, ping, logger, http, Docker); | ||
const job = { data: { url: "http://test.com", _id: "123", type: "docker" } }; | ||
try { | ||
await networkService.requestDocker(job); | ||
} catch (error) { | ||
expect(error.message).to.equal("test error"); | ||
} | ||
}); | ||
}); |
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🛠️ Refactor suggestion
Include 'afterEach' to restore stubs and mocks between tests.
In the requestDocker
test suite, stubs and mocks are configured but not restored after each test. This could lead to test interference and unreliable results. To maintain isolation and ensure each test runs independently, consider adding an afterEach
block to restore the stubs:
+ afterEach(() => {
+ sinon.restore();
+ });
Committable suggestion skipped: line range outside the PR's diff.
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (4)
Server/service/networkService.js (2)
11-24
: Yo! The constructor's JSDoc needs updating, dawg!The constructor's documentation is missing the new
Docker
parameter. Let's keep it real and update the JSDoc to match the implementation.Add the following to the JSDoc parameters:
* @param {Object} http - The HTTP utility for network operations. + * @param {Object} Docker - The Docker client class for container operations. */
231-235
: Performance optimization opportunity in container checkInstead of listing all containers and then searching, we could try to get the specific container directly and handle the 404.
- const containers = await docker.listContainers({ all: true }); - const containerExists = containers.some((c) => c.Id === job.data.url); - if (!containerExists) { - throw new Error(errorMessages.DOCKER_NOT_FOUND); - } const container = docker.getContainer(job.data.url); + try { + await container.inspect(); + } catch (error) { + if (error.statusCode === 404) { + throw new Error(errorMessages.DOCKER_NOT_FOUND); + } + throw error; + }Server/tests/services/networkService.test.js (2)
16-26
: Enhance Docker mock data to be more realistic, eh!The mock data could better reflect real Docker container properties. Consider these improvements:
Docker = class { listContainers = sinon.stub().resolves([ { - Names: ["http://test.com"], - Id: "http://test.com", + Names: ["/test-container"], + Id: "sha256:e216a057b1cb1efc11f8a268f37ef62083e70b1b38323ba252e25ac88904a7e8", + State: "running", + Status: "Up 2 hours", + Image: "test-image:latest" }, ]); getContainer = sinon.stub().returns({ inspect: sinon.stub().resolves({ State: { Status: "running" } }), }); };
394-427
: Give'r a few more test cases for type handling, eh!The error handling for getStatus is looking good, but let's add these cases to make it bulletproof:
it("should throw an error if type is an empty string", async () => { try { await networkService.getStatus({ data: { type: "" } }); } catch (error) { expect(error.service).to.equal("NetworkService"); expect(error.method).to.equal("getStatus"); expect(error.message).to.equal("Unsupported type: unknown"); } }); it("should handle type names case-insensitively", async () => { await networkService.getStatus({ data: { type: "DOCKER" } }); expect(networkService.requestDocker.calledOnce).to.be.true; });
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Server/service/networkService.js
(6 hunks)Server/tests/services/networkService.test.js
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- Server/utils/messages.js
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Server/service/networkService.js
[error] 120-120: The assignment should not be in an expression.
The use of assignments in expressions is confusing.
Expressions are often considered as side-effect free.
(lint/suspicious/noAssignInExpressions)
[error] 254-254: Unnecessary use of boolean literals in conditional expression.
Simplify your code by directly assigning the result without using a ternary operator.
If your goal is negation, you may use the logical NOT (!) or double NOT (!!) operator for clearer and concise code.
Check for more details about NOT operator.
Unsafe fix: Remove the conditional expression with
(lint/complexity/noUselessTernary)
🔇 Additional comments (5)
Server/service/networkService.js (4)
67-93
: Error handling's looking fresh! 🔥
The consistent error handling pattern across all methods is on point! Each error is properly enriched with service and method context, making debugging way easier.
Also applies to: 115-147, 168-178, 199-205
226-229
: Yo, that Docker socket path is still living dangerously! 🚨
The security concern about direct socket path usage from past reviews is still valid. Let's make it configurable to stay safe.
254-254
: Simplify that boolean expression, my dude!
That ternary operation for setting status
is doing too much. Let's keep it simple!
🧰 Tools
🪛 Biome
[error] 254-254: Unnecessary use of boolean literals in conditional expression.
Simplify your code by directly assigning the result without using a ternary operator.
If your goal is negation, you may use the logical NOT (!) or double NOT (!!) operator for clearer and concise code.
Check for more details about NOT operator.
Unsafe fix: Remove the conditional expression with
(lint/complexity/noUselessTernary)
271-275
: Watch out for that error variable scope! 🎯
The error variable declaration in handleUnsupportedType
should be scoped properly to prevent hoisting issues.
Server/tests/services/networkService.test.js (1)
85-96
: Beauty! Error handling tests are consistent and thorough.
The error handling tests across all request methods follow a consistent pattern and properly verify error properties. This is a solid approach to ensuring uniform error handling throughout the service.
Also applies to: 135-146, 186-197, 252-263
describe("requestDocker", () => { | ||
it("should return a response object if docker successful", async () => { | ||
const job = { data: { url: "http://test.com", _id: "123", type: "docker" } }; | ||
const dockerResult = await networkService.requestDocker(job); | ||
expect(dockerResult.monitorId).to.equal("123"); | ||
expect(dockerResult.type).to.equal("docker"); | ||
expect(dockerResult.responseTime).to.be.a("number"); | ||
expect(dockerResult.status).to.be.true; | ||
}); | ||
|
||
it("should return a response object with status false if container not running", async () => { | ||
Docker = class { | ||
listContainers = sinon.stub().resolves([ | ||
{ | ||
Names: ["/my_container"], | ||
Id: "abc123", | ||
}, | ||
]); | ||
getContainer = sinon.stub().returns({ | ||
inspect: sinon.stub().resolves({ State: { Status: "stopped" } }), | ||
}); | ||
}; | ||
networkService = new NetworkService(axios, ping, logger, http, Docker); | ||
const job = { data: { url: "abc123", _id: "123", type: "docker" } }; | ||
const dockerResult = await networkService.requestDocker(job); | ||
expect(dockerResult.status).to.be.false; | ||
expect(dockerResult.code).to.equal(200); | ||
}); | ||
|
||
it("should handle an error when fetching the container", async () => { | ||
Docker = class { | ||
listContainers = sinon.stub().resolves([ | ||
{ | ||
Names: ["/my_container"], | ||
Id: "abc123", | ||
}, | ||
]); | ||
getContainer = sinon.stub().returns({ | ||
inspect: sinon.stub().throws(new Error("test error")), | ||
}); | ||
}; | ||
networkService = new NetworkService(axios, ping, logger, http, Docker); | ||
const job = { data: { url: "abc123", _id: "123", type: "docker" } }; | ||
const dockerResult = await networkService.requestDocker(job); | ||
expect(dockerResult.status).to.be.false; | ||
expect(dockerResult.code).to.equal(networkService.NETWORK_ERROR); | ||
}); | ||
|
||
it("should throw an error if operations fail", async () => { | ||
Docker = class { | ||
listContainers = sinon.stub().resolves([ | ||
{ | ||
Names: ["/my_container"], | ||
Id: "abc123", | ||
}, | ||
]); | ||
getContainer = sinon.stub().throws(new Error("test error")); | ||
}; | ||
networkService = new NetworkService(axios, ping, logger, http, Docker); | ||
const job = { data: { url: "abc123", _id: "123", type: "docker" } }; | ||
try { | ||
await networkService.requestDocker(job); | ||
} catch (error) { | ||
expect(error.message).to.equal("test error"); | ||
} | ||
}); | ||
it("should throw an error if no matching images found", async () => { | ||
Docker = class { | ||
listContainers = sinon.stub().resolves([]); | ||
getContainer = sinon.stub().throws(new Error("test error")); | ||
}; | ||
networkService = new NetworkService(axios, ping, logger, http, Docker); | ||
const job = { data: { url: "abc123", _id: "123", type: "docker" } }; | ||
try { | ||
await networkService.requestDocker(job); | ||
} catch (error) { | ||
expect(error.message).to.equal(errorMessages.DOCKER_NOT_FOUND); | ||
} | ||
}); |
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🛠️ Refactor suggestion
Take'r up a notch with additional test cases, buddy!
The Docker test suite looks solid but could use a couple more test cases to handle these scenarios:
it("should handle malformed container state", async () => {
Docker = class {
listContainers = sinon.stub().resolves([{ Id: "abc123" }]);
getContainer = sinon.stub().returns({
inspect: sinon.stub().resolves({ State: {} }) // Missing Status
});
};
networkService = new NetworkService(axios, ping, logger, http, Docker);
const job = { data: { url: "abc123", _id: "123", type: "docker" } };
const dockerResult = await networkService.requestDocker(job);
expect(dockerResult.status).to.be.false;
expect(dockerResult.code).to.equal(networkService.NETWORK_ERROR);
});
it("should handle Docker daemon connection errors", async () => {
Docker = class {
listContainers = sinon.stub().rejects(new Error("Cannot connect to the Docker daemon"));
};
networkService = new NetworkService(axios, ping, logger, http, Docker);
const job = { data: { url: "abc123", _id: "123", type: "docker" } };
try {
await networkService.requestDocker(job);
} catch (error) {
expect(error.message).to.equal("Cannot connect to the Docker daemon");
}
});
This PR adds support for a docker monitor. This is a subtype of uptime monitor.
-[x] Update JobQueue, NetworkSerivce, and StatusService to support docker type monitors
Currently there is no need for a distinct docker type check as we are currently only interested in whether or not the container is running. This is the same information that we have for a base http/ping type
Check
, so that type is used. We can implement a distinct docker type check if we need more information later.Docker monitors use a docker image ID in the
url
field of the monitor.