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📝 WalkthroughWalkthroughThis pull request restructures the project infrastructure and CI/CD pipeline, migrating repository ownership from DevMadhup to Mr-Dusara across multiple branches and endpoints. The deployment model shifts from docker-compose local development to Kubernetes-based orchestration with multi-stage frontend builds. Jenkins pipelines are updated with new library references, build tools, and Docker registry credentials. Local development tooling and documentation are removed. Changes
Estimated code review effort🎯 4 (Complex) | ⏱️ ~45 minutes Poem
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✅ Passed checks (2 passed)
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Actionable comments posted: 11
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⚠️ Outside diff range comments (1)
Jenkinsfile (1)
11-17:⚠️ Potential issue | 🟠 MajorDon't prune the whole Docker daemon from a normal build.
Line 16 runs
docker system prune -a -fwhich removes all unused images, layers, and stopped containers across the entire Docker daemon on the agent. Since this pipeline usesagent any, it may run concurrently with other jobs on the same shared agent, and the daemon-level pruning can evict image layers or other resources those concurrent builds depend on.cleanWs()alone already handles workspace cleanup and is the appropriate approach; daemon-level cleanup belongs on ephemeral agents or in a dedicated maintenance job.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@Jenkinsfile` around lines 11 - 17, The pipeline is running a daemon-wide prune in the "Workspace cleanup" stage via sh "docker system prune -a -f", which is unsafe on shared agents—remove that sh step and rely on cleanWs() for workspace cleanup; if daemon-level Docker cleanup is required, move it to a dedicated maintenance job or run it only on ephemeral agents (or replace with a safe, scoped command run only on dedicated nodes), and ensure you update the Jenkins stage "Workspace cleanup" to only call cleanWs() instead of invoking docker system prune.
🧹 Nitpick comments (4)
Argo-cd/Jenkinsfile (1)
78-103: Hardcoded email addresses in post block.The
fromandtoemail addresses are hardcoded. Consider using Jenkins credentials or environment variables to avoid exposing email addresses in source control and simplify maintenance.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@Argo-cd/Jenkinsfile` around lines 78 - 103, Replace the hardcoded email addresses in the post->always->script block where emailext is called (the 'from' and 'to' parameters) with values pulled from Jenkins credentials or environment variables; for example, use a credential ID or env var like SENDER_EMAIL and RECIPIENT_EMAIL (or retrieve them via withCredentials) and reference those variables in the emailext call instead of literal strings so addresses are not stored in source and can be managed securely.kubernetes/frontend.yml (1)
1-24: Consider adding readiness and liveness probes.Without probes, Kubernetes cannot detect if the container is ready to serve traffic or has become unresponsive, potentially routing traffic to unhealthy pods.
💡 Suggested probe configuration
livenessProbe: httpGet: path: / port: 80 initialDelaySeconds: 10 periodSeconds: 15 readinessProbe: httpGet: path: / port: 80 initialDelaySeconds: 5 periodSeconds: 5🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@kubernetes/frontend.yml` around lines 1 - 24, Add HTTP livenessProbe and readinessProbe to the "frontend" container in the "wander-frontend" Deployment so Kubernetes can detect unresponsive or not-yet-ready pods; under the container spec for name: frontend add a livenessProbe with httpGet path "/" port 80, initialDelaySeconds 10, periodSeconds 15 and a readinessProbe with httpGet path "/" port 80, initialDelaySeconds 5, periodSeconds 5 (attach them alongside ports in the template.spec.containers entry).kubernetes/backend.yml (1)
1-24: Consider adding readiness and liveness probes.Backend services particularly benefit from probes to prevent routing traffic during startup or when the service becomes unhealthy.
💡 Suggested probe configuration
livenessProbe: httpGet: path: /api/healthcheck port: 8080 initialDelaySeconds: 15 periodSeconds: 20 readinessProbe: httpGet: path: /api/healthcheck port: 8080 initialDelaySeconds: 5 periodSeconds: 10Adjust the health endpoint path to match your backend's actual health check route.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@kubernetes/backend.yml` around lines 1 - 24, Add livenessProbe and readinessProbe entries to the container spec for the Deployment named wander-backend (container name "backend") so Kubernetes can detect startup and unhealthy states; add an HTTP livenessProbe and readinessProbe pointing at your health endpoint (e.g. /api/healthcheck) on port 8080 with sensible timings (suggested initialDelaySeconds: 15, periodSeconds: 20 for liveness and initialDelaySeconds: 5, periodSeconds: 10 for readiness) and adjust the path if your service exposes a different health route.Automations/updatebackendnew.sh (1)
11-11: Fragile line-number parsing.Using
sed -n "4p"to extractFRONTEND_URLassumes the variable is always on line 4 of the env file. Consider usinggrepfor more robust extraction:-alreadyUpdate=$(sed -n "4p" ../backend/.env.docker) +alreadyUpdate=$(grep '^FRONTEND_URL=' ../backend/.env.docker)🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@Automations/updatebackendnew.sh` at line 11, The current assignment to alreadyUpdate uses fragile line-number parsing (sed -n "4p") which breaks if FRONTEND_URL moves; update Automations/updatebackendnew.sh to extract FRONTEND_URL robustly by searching for the key name instead of a fixed line—eg. use grep/awk to find the line matching ^FRONTEND_URL= in ../backend/.env.docker and then split on the first '=' to get the value, assigning that result to the alreadyUpdate variable so the script reliably finds FRONTEND_URL regardless of line order.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@backend/.env.docker`:
- Line 4: The FRONTEND_URL entry in backend/.env.docker is currently unused
because backend/config/utils.js only exports PORT, MONGODB_URI, and REDIS_URL;
either remove this unused FRONTEND_URL from the env file or wire it into the
backend by adding FRONTEND_URL to backend/config/utils.js exports and then use
that value where origins/CORS or callback URLs are configured (e.g., in your
CORS middleware or auth callback configuration); update any relevant code that
reads from process.env.FRONTEND_URL so the value is actually consumed at
runtime.
- Line 10: The NODE_ENV value in backend/.env.docker is set to "Development";
change it to the lowercase standard "development" (update the NODE_ENV variable
to NODE_ENV=development), ensure there are no stray quotes or whitespace, and
commit the change so the container runtime uses the correct environment value.
In `@frontend/Dockerfile`:
- Around line 51-58: The final Nginx stage is running as root (FROM nginx:alpine
and EXPOSE 80) so change the base image to an unprivileged image (e.g., replace
FROM nginx:alpine with FROM nginxinc/nginx-unprivileged:alpine), update EXPOSE
80 to EXPOSE 8080 and keep the same COPY --from=builder /app/dist
/usr/share/nginx/html and CMD ["nginx", "-g", "daemon off;"]; additionally
update kubernetes/frontend.yml to change both containerPort and targetPort from
80 to 8080 so the pod runs non-root and listens on the unprivileged port.
- Around line 47-49: The build currently hardcodes VITE_API_PATH by copying
.env.docker before running npm run build, which makes
import.meta.env.VITE_API_PATH in blog-feed.tsx permanently baked into the
bundle; change the Dockerfile to accept a build argument (e.g., ARG
VITE_API_PATH) and generate .env from that ARG just before running npm run build
(replace the RUN cp .env.docker .env step with writing
VITE_API_PATH="${VITE_API_PATH}" into .env), so consumers can pass --build-arg
VITE_API_PATH=... when building and the produced bundle will contain the
intended endpoint without committing a fixed .env.docker.
In `@Jenkinsfile`:
- Around line 102-110: Uncomment or restore the CD handoff so the Wanderlust-CD
job receives the image tags: re-enable the post success block that calls build
job: "Wanderlust-CD" with parameters string(name: 'FRONTEND_DOCKER_TAG', value:
"$BUILD_NUMBER") and string(name: 'BACKEND_DOCKER_TAG', value: "$BUILD_NUMBER")
(or implement an equivalent mechanism) so the CD pipeline gets the same
BUILD_NUMBER tags the CI pushed; ensure archiveArtifacts remains if needed and
that the trigger executes only on successful CI completion.
- Around line 20-24: The pipeline is hardcoding the branch in
code_clone("https://github.com/Mr-Dusara/Wanderlust-Mega-Project.git","master")
which conflicts with the repo's default branch (main) and breaks PR/triggered
builds; replace this explicit call with a dynamic checkout that uses the
triggering revision (e.g., use the declarative/Scripted pipeline built-in
checkout scm) so the pipeline tracks the actual triggering commit/branch; update
the same change in the Argo-cd/Jenkinsfile as well and remove the hardcoded
"master" argument from any code_clone usages.
In `@kubernetes/backend.yml`:
- Around line 19-24: The backend Pod spec (the container named "backend" in
spec.containers) needs security hardening and resource constraints: add a
securityContext on the container (set runAsNonRoot/runAsUser, runAsGroup/fsGroup
as appropriate, set allowPrivilegeEscalation: false and drop all capabilities)
and a pod-level securityContext readOnlyRootFilesystem where compatible; also
add resources.requests and resources.limits (cpu and memory) to the "backend"
container to prevent noisy-neighbor issues, and if the service writes temp files
add an emptyDir volume and mount it into the container (update spec.volumes and
the container's volumeMounts) so temporary data is isolated. Ensure all changes
apply to the existing container named "backend" and keep
image/dooms002/wanderlust-backend:54 unchanged.
- Line 22: The deployment pipeline is skipping image tag updates because the
repository contains "backend.yml" while the Argo-cd/Jenkinsfile expects
"backend.yaml"; fix by either renaming the file "backend.yml" -> "backend.yaml"
or updating the Argo-cd/Jenkinsfile reference from "backend.yaml" to
"backend.yml" so the sed image replacement targets the correct manifest (confirm
the hardcoded image line "image: dooms002/wanderlust-backend:54" in the backend
manifest is updated by the pipeline after the change).
In `@kubernetes/frontend.yml`:
- Around line 19-24: The frontend container spec is missing a securityContext;
update the spec for the container named "frontend" to harden it by adding a
securityContext that enforces non-root execution (e.g., runAsNonRoot: true and
runAsUser set to a nonzero UID), disables privilege escalation
(allowPrivilegeEscalation: false), drops capabilities (capabilities.drop:
["ALL"]) and enables a readOnlyRootFilesystem where appropriate; if the frontend
needs writable scratch space (as hinted for nginx temp/cache), add an emptyDir
volume and mount it into the container (e.g., /tmp or /var/cache/nginx) so you
can keep the root filesystem read-only while still allowing necessary writes.
- Line 22: The ArgoCD image-update sed in Argo-cd/Jenkinsfile is targeting
frontend.yaml but the manifest is named kubernetes/frontend.yml so the image tag
("image: dooms002/wanderlust-frontend:54") will never be updated; fix by either
renaming kubernetes/frontend.yml to kubernetes/frontend.yaml or update the
sed/lookup in Argo-cd/Jenkinsfile to reference kubernetes/frontend.yml (ensure
the target string matches the manifest name and the image line).
In `@kubernetes/perstintvolum.yml`:
- Around line 12-13: The manifest currently uses hostPath with path: /data/db
which can cause data loss if the Pod moves nodes; replace this with a
StorageClass-backed PersistentVolumeClaim or, if using a local PV, create a
PersistentVolume that uses hostPath plus nodeAffinity to pin the node and update
the Deployment to reference the PVC (or include a nodeSelector/nodeAffinity in
the Deployment) so the Pod cannot be scheduled away from the node that holds
/data/db; ensure resources reference the PVC name in volumes and mounts instead
of hostPath and add a StorageClass or nodeAffinity block on the PersistentVolume
and Deployment accordingly.
---
Outside diff comments:
In `@Jenkinsfile`:
- Around line 11-17: The pipeline is running a daemon-wide prune in the
"Workspace cleanup" stage via sh "docker system prune -a -f", which is unsafe on
shared agents—remove that sh step and rely on cleanWs() for workspace cleanup;
if daemon-level Docker cleanup is required, move it to a dedicated maintenance
job or run it only on ephemeral agents (or replace with a safe, scoped command
run only on dedicated nodes), and ensure you update the Jenkins stage "Workspace
cleanup" to only call cleanWs() instead of invoking docker system prune.
---
Nitpick comments:
In `@Argo-cd/Jenkinsfile`:
- Around line 78-103: Replace the hardcoded email addresses in the
post->always->script block where emailext is called (the 'from' and 'to'
parameters) with values pulled from Jenkins credentials or environment
variables; for example, use a credential ID or env var like SENDER_EMAIL and
RECIPIENT_EMAIL (or retrieve them via withCredentials) and reference those
variables in the emailext call instead of literal strings so addresses are not
stored in source and can be managed securely.
In `@Automations/updatebackendnew.sh`:
- Line 11: The current assignment to alreadyUpdate uses fragile line-number
parsing (sed -n "4p") which breaks if FRONTEND_URL moves; update
Automations/updatebackendnew.sh to extract FRONTEND_URL robustly by searching
for the key name instead of a fixed line—eg. use grep/awk to find the line
matching ^FRONTEND_URL= in ../backend/.env.docker and then split on the first
'=' to get the value, assigning that result to the alreadyUpdate variable so the
script reliably finds FRONTEND_URL regardless of line order.
In `@kubernetes/backend.yml`:
- Around line 1-24: Add livenessProbe and readinessProbe entries to the
container spec for the Deployment named wander-backend (container name
"backend") so Kubernetes can detect startup and unhealthy states; add an HTTP
livenessProbe and readinessProbe pointing at your health endpoint (e.g.
/api/healthcheck) on port 8080 with sensible timings (suggested
initialDelaySeconds: 15, periodSeconds: 20 for liveness and initialDelaySeconds:
5, periodSeconds: 10 for readiness) and adjust the path if your service exposes
a different health route.
In `@kubernetes/frontend.yml`:
- Around line 1-24: Add HTTP livenessProbe and readinessProbe to the "frontend"
container in the "wander-frontend" Deployment so Kubernetes can detect
unresponsive or not-yet-ready pods; under the container spec for name: frontend
add a livenessProbe with httpGet path "/" port 80, initialDelaySeconds 10,
periodSeconds 15 and a readinessProbe with httpGet path "/" port 80,
initialDelaySeconds 5, periodSeconds 5 (attach them alongside ports in the
template.spec.containers entry).
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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⛔ Files ignored due to path filters (20)
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📒 Files selected for processing (21)
Argo-cd/JenkinsfileAutomations/updatebackendnew.shAutomations/updatefrontendnew.shJenkinsfilebackend/.env.dockerbackend/Dockerfiledatabase/Dockerfiledocker-compose.ymlfrontend/Dockerfilekubernetes/README.mdkubernetes/assets/README.mdkubernetes/backend.yamlkubernetes/backend.ymlkubernetes/frontend.yamlkubernetes/frontend.ymlkubernetes/kubeadm.mdkubernetes/mongodb.ymlkubernetes/perstintvolum.ymlkubernetes/perstintvolumclaim.ymlkubernetes/redise.ymlpackage.json
💤 Files with no reviewable changes (8)
- kubernetes/assets/README.md
- docker-compose.yml
- database/Dockerfile
- kubernetes/backend.yaml
- kubernetes/README.md
- package.json
- kubernetes/frontend.yaml
- kubernetes/kubeadm.md
| REDIS_URL="redis://redis-service:6379" | ||
| PORT=8080 | ||
| FRONTEND_URL="http://34.213.249.66:5173" | ||
| FRONTEND_URL="http://34.213.249.66:31000" |
There was a problem hiding this comment.
This FRONTEND_URL edit is a no-op right now.
In the provided backend wiring, backend/config/utils.js:1-8 only exports PORT, MONGODB_URI, and REDIS_URL, so Line 4 is not consumed anywhere at runtime. If this was meant to change CORS or callback origins, that wiring is still missing.
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[warning] 4-4: [QuoteCharacter] The value has quote characters (', ")
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(UnorderedKey)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@backend/.env.docker` at line 4, The FRONTEND_URL entry in backend/.env.docker
is currently unused because backend/config/utils.js only exports PORT,
MONGODB_URI, and REDIS_URL; either remove this unused FRONTEND_URL from the env
file or wire it into the backend by adding FRONTEND_URL to
backend/config/utils.js exports and then use that value where origins/CORS or
callback URLs are configured (e.g., in your CORS middleware or auth callback
configuration); update any relevant code that reads from
process.env.FRONTEND_URL so the value is actually consumed at runtime.
| REFRESH_TOKEN_EXPIRES_IN='120s' | ||
| JWT_SECRET=70dd8b38486eee723ce2505f6db06f1ee503fde5eb06fc04687191a0ed665f3f98776902d2c89f6b993b1c579a87fedaf584c693a106f7cbf16e8b4e67e9d6df | ||
| NODE_ENV=Development | ||
| NODE_ENV=Development No newline at end of file |
There was a problem hiding this comment.
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💡 Result:
In Node.js, access to environment variables via process.env is case-sensitive on Unix-like systems (Linux, macOS) and case-insensitive on Windows. This behavior mirrors the underlying operating system's handling of environment variables. NODE_ENV specifically follows this pattern: process.env.NODE_ENV === process.env.node_env on Windows (both return the value if set), but on Unix, process.env.node_env is undefined if only NODE_ENV is set. This is intentional Node.js behavior, tested since v6 (commit 1d79af6), using Windows APIs like GetEnvironmentVariableW which perform case-insensitive lookups. Official Node.js process documentation confirms: "On Windows operating systems, environment variables are case-insensitive." with example: env.TEST = 1; console.log(env.test); // => 1 Note: In worker threads prior to recent fixes, behavior differed on Windows, but main thread access is consistent. .env files and dotenv parse keys case-sensitively before assigning to process.env. For cross-platform code, always use consistent casing (convention: uppercase like NODE_ENV) to avoid issues.
Citations:
- 1: Mention case-insensitivity in process.env docs nodejs/node#9157
- 2: https://nodejs.org/docs/latest/api/process.html
- 3: In worker threads, process.env is case-sensitive on windows nodejs/node#48955
- 4: nodejs/node@1d79af6525
- 5: https://nodejs.org/dist/latest-v22.x/docs/api/process.html
- 6: doc: mention case-insensitive env on windows nodejs/node#9166
🌐 Web query:
NODE_ENV development vs Development Node.js standard values
💡 Result:
In Node.js, there is no official standard or enforced set of values for the NODE_ENV environment variable. Node.js core does not define or use NODE_ENV specifically; it treats all environment variables as arbitrary strings via process.env. NODE_ENV is a community convention popularized by frameworks like Express.js and libraries in the npm ecosystem. Standard conventional values (all lowercase): - 'production': Optimizes libraries for performance (e.g., Express caching, less verbose errors). - 'development': Enables debugging features in many libraries (default assumption if unset in some contexts). - 'test': Commonly used for testing environments. 'development' (lowercase) vs 'Development' (title case): All authoritative sources and examples use lowercase 'development'. No sources recommend or show title case 'Development' as standard. Using title case would not trigger expected behaviors in libraries checking for exact string matches like === 'development' or === 'production', potentially causing apps to fall back to development mode or undefined behavior. Environment variable values are case-sensitive strings. Official Node.js docs confirm no special handling for NODE_ENV and note some libraries default to 'development' if unset. Node.js guides recommend always setting NODE_ENV=production (lowercase) everywhere for consistency, even in development/testing, to avoid antipatterns where behavior changes based on the value. Examples: - Official Node.js: NODE_ENV=production - Express convention: if (process.env.NODE_ENV === 'production') - package.json scripts: "start": "NODE_ENV=production node app.js" Best practice: Use lowercase strings matching library expectations. Avoid setting from within code; set externally (CLI, .env files, deployment configs).
Citations:
- 1: https://nodejs.org/api/environment_variables.html
- 2: https://nodejs.dev/en/learn/getting-started/nodejs-the-difference-between-development-and-production
- 3: https://nodejs.org/en/learn/getting-started/nodejs-the-difference-between-development-and-production
- 4: https://nodejs.org/docs/latest/api/environment_variables.html
- 5: https://stackoverflow.com/questions/16978256/what-is-node-env-and-how-to-use-it-in-express
- 6: https://nodejs.org/docs/latest/api/process.html
- 7: https://www.geeksforgeeks.org/node-js/what-is-node_env-in-node-js/
- 8: https://codeforgeek.com/understanding-node-env/
- 9: https://www.codingeasypeasy.com/blog/mastering-nodeenv-environment-variables-in-nodejs-for-production-and-development
- 10: https://ezz.sh/posts/nodeenv-does-not-mean-what-you-think-it-means/
Use lowercase development for NODE_ENV.
Line 10 sets Development, but Node.js tools check NODE_ENV case-sensitively against standard values like development and production. On Linux systems (where Docker runs), this mismatch will cause libraries relying on equality checks like process.env.NODE_ENV === 'development' to fail, potentially triggering unexpected fallback behavior. Since backend/Dockerfile:25 copies this file into the runtime image, the container will boot with a non-standard environment value.
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🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@backend/.env.docker` at line 10, The NODE_ENV value in backend/.env.docker is
set to "Development"; change it to the lowercase standard "development" (update
the NODE_ENV variable to NODE_ENV=development), ensure there are no stray quotes
or whitespace, and commit the change so the container runtime uses the correct
environment value.
| RUN cp .env.docker .env | ||
|
|
||
| # Set the working directory to /app | ||
| WORKDIR /app | ||
| RUN npm run build # 🔥 IMPORTANT |
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Vite import.meta.env build-time variable resolution
💡 Result:
In Vite, import.meta.env provides access to environment variables and built-in constants. These are resolved differently in development and production builds. During development (vite dev), import.meta.env constants like DEV, PROD, MODE are defined as global variables and updated dynamically. At build time (vite build), all import.meta.env references—both built-in constants (e.g., import.meta.env.DEV, import.meta.env.MODE) and custom VITE_* variables from .env files—are statically replaced with their resolved string values in the bundled code. This enables effective tree-shaking (e.g., if (import.meta.env.DEV) { ... } code is removed in production) and embeds the values directly into the client-side JavaScript. Key points: - Only variables prefixed with VITE_ (from .env files or command-line) are exposed to client code. Non-VITE_ vars remain server-side only. - Values are loaded from .env files based on mode (e.g., .env.production for vite build), with priority: command-line > .env.[mode].local > .env.[mode] > .env.local > .env. - Dynamic access like import.meta.env[key] won't work post-build since replacements are static. - Built-in constants: MODE (string, e.g., "production"), DEV/PROD (booleans, based on NODE_ENV and mode), SSR, etc. - Restart dev server after .env changes; values are bundled at build time, so no runtime env access for client code. This behavior is consistent across Vite versions, including latest docs as of 2026.
Citations:
- 1: https://vite.dev/guide/env-and-mode
- 2: https://v6.vite.dev/guide/env-and-mode
- 3: https://main.vite.dev/guide/env-and-mode
This build embeds the API endpoint into the final image at build time.
Line 47 copies .env.docker (which contains VITE_API_PATH="http://34.213.249.66:31100") into .env, and line 49 runs npm run build. Because blog-feed.tsx (lines 24 and 36) uses import.meta.env.VITE_API_PATH, Vite statically replaces this variable during the build and embeds the IP address directly in the bundled JavaScript. The resulting image is locked to this endpoint and cannot be retargeted at deploy time without rebuilding.
Suggested approach
+ARG VITE_API_PATH
+ENV VITE_API_PATH=${VITE_API_PATH}
-RUN cp .env.docker .env
RUN npm run buildThis makes the build-time configuration explicit and allows the same Dockerfile to accept different API endpoints via build arguments across environments.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@frontend/Dockerfile` around lines 47 - 49, The build currently hardcodes
VITE_API_PATH by copying .env.docker before running npm run build, which makes
import.meta.env.VITE_API_PATH in blog-feed.tsx permanently baked into the
bundle; change the Dockerfile to accept a build argument (e.g., ARG
VITE_API_PATH) and generate .env from that ARG just before running npm run build
(replace the RUN cp .env.docker .env step with writing
VITE_API_PATH="${VITE_API_PATH}" into .env), so consumers can pass --build-arg
VITE_API_PATH=... when building and the produced bundle will contain the
intended endpoint without committing a fixed .env.docker.
| # -------- Stage 2: Serve -------- | ||
| FROM nginx:alpine | ||
|
|
||
| # Copy the .env.sample file to .env.local | ||
| COPY .env.docker .env.local | ||
| COPY --from=builder /app/dist /usr/share/nginx/html | ||
|
|
||
| # Expose port 5173 for the Node.js application | ||
| EXPOSE 5173 | ||
| EXPOSE 80 | ||
|
|
||
| # Define the default command to run the application in development mode | ||
| CMD ["npm", "run", "dev", "--", "--host"] | ||
| CMD ["nginx", "-g", "daemon off;"] No newline at end of file |
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🌐 Web query:
nginx:alpine default user root unprivileged
💡 Result:
The official nginx:alpine Docker image creates a non-root 'nginx' user (UID/GID 101) during build. However, the container starts as root by default (no USER directive in Dockerfile). The nginx master process runs as root, and worker processes drop privileges to the 'nginx' user via the 'user nginx;' directive in /etc/nginx/nginx.conf (confirmed in official docs and templates). For fully unprivileged operation (no root processes), use the separate nginxinc/nginx-unprivileged image, which switches to the non-root user and adjusts configs/ports accordingly.
Citations:
- 1: https://github.com/nginxinc/docker-nginx/blob/master/stable/alpine-slim/Dockerfile
- 2: https://registry.hub.docker.com/_/nginx/
- 3: https://hub.docker.com/_/nginx?tab=description
- 4: https://stackoverflow.com/questions/36824222/how-to-change-the-nginx-process-user-of-the-official-docker-image-nginx
- 5: Nginx user unable to run entrypoint nginx/docker-nginx#924
🌐 Web query:
nginxinc/nginx-unprivileged:alpine port 8080
💡 Result:
The Docker image nginxinc/nginx-unprivileged:alpine is an unprivileged NGINX image based on Alpine Linux. It runs NGINX as a non-root user (typically UID/GID 101) and configures NGINX to listen on port 8080 by default instead of 80, allowing it to bind without root privileges. This image is maintained by NGINX Inc., with weekly builds and updates for new NGINX releases. To run it and access NGINX on host port 8080: docker run -d -p 8080:8080 nginxinc/nginx-unprivileged:alpine Key differences from official NGINX image: - Default listen port: 8080 - PID file: /tmp/nginx.pid - Temp paths: /tmp/* - No 'user' directive in nginx.conf The image exposes port 8080. Use -p host_port:8080 to map it. Available on Docker Hub and GHCR, latest tags like alpine3.23 updated recently (as of 2026-04-05). Official sources: Docker Hub page, GitHub repo (nginxinc/docker-nginx-unprivileged).
Citations:
- 1: https://hub.docker.com/r/nginxinc/nginx-unprivileged
- 2: https://github.com/nginxinc/docker-nginx-unprivileged
- 3: https://hub.docker.com/r/nginxinc/nginx-unprivileged/tags/
- 4: https://hub-beta.docker.com/r/nginxinc/nginx-unprivileged
Run the final Nginx stage as non-root.
Line 52 uses nginx:alpine, which runs the master process as root despite creating a non-root nginx user. There is no USER directive before line 58, violating restricted container policies (e.g., runAsNonRoot: true in Kubernetes Pod Security Standards) and leaving the static server with unnecessary privileges.
Switch to the official unprivileged image, which runs entirely as a non-root user and listens on port 8080:
Required changes
-FROM nginx:alpine
+FROM nginxinc/nginx-unprivileged:alpine
@@
-EXPOSE 80
+EXPOSE 8080Update kubernetes/frontend.yml: change both containerPort: 80 and targetPort: 80 to 8080.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@frontend/Dockerfile` around lines 51 - 58, The final Nginx stage is running
as root (FROM nginx:alpine and EXPOSE 80) so change the base image to an
unprivileged image (e.g., replace FROM nginx:alpine with FROM
nginxinc/nginx-unprivileged:alpine), update EXPOSE 80 to EXPOSE 8080 and keep
the same COPY --from=builder /app/dist /usr/share/nginx/html and CMD ["nginx",
"-g", "daemon off;"]; additionally update kubernetes/frontend.yml to change both
containerPort and targetPort from 80 to 8080 so the pod runs non-root and
listens on the unprivileged port.
| stage('Git: Code Checkout') { | ||
| steps { | ||
| script{ | ||
| code_checkout("https://github.com/DevMadhup/Wanderlust-Mega-Project.git","main") | ||
| code_clone("https://github.com/Mr-Dusara/Wanderlust-Mega-Project.git","master") | ||
| } |
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Hardcoded master branch checkout conflicts with repository's default main branch.
Line 23 hardcodes code_clone("...","master") while the repository's default branch is main (confirmed in git config). This causes PR builds and main branch builds to checkout the wrong commit, leading to incorrect scans, builds, and image pushes. Use checkout scm instead to dynamically track the triggering revision.
Recommended fix
- code_clone("https://github.com/Mr-Dusara/Wanderlust-Mega-Project.git","master")
+ checkout scmNote: The same issue exists in Argo-cd/Jenkinsfile at line 23.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@Jenkinsfile` around lines 20 - 24, The pipeline is hardcoding the branch in
code_clone("https://github.com/Mr-Dusara/Wanderlust-Mega-Project.git","master")
which conflicts with the repo's default branch (main) and breaks PR/triggered
builds; replace this explicit call with a dynamic checkout that uses the
triggering revision (e.g., use the declarative/Scripted pipeline built-in
checkout scm) so the pipeline tracks the actual triggering commit/branch; update
the same change in the Argo-cd/Jenkinsfile as well and remove the hardcoded
"master" argument from any code_clone usages.
| spec: | ||
| containers: | ||
| - name: backend | ||
| image: dooms002/wanderlust-backend:54 | ||
| ports: | ||
| - containerPort: 8080 |
There was a problem hiding this comment.
Add security context and resource limits.
Same security concerns as the frontend deployment. The backend may handle sensitive data, making security hardening even more important.
🛡️ Proposed security hardening
spec:
containers:
- name: backend
image: dooms002/wanderlust-backend:54
ports:
- containerPort: 8080
+ securityContext:
+ allowPrivilegeEscalation: false
+ runAsNonRoot: true
+ readOnlyRootFilesystem: true
+ capabilities:
+ drop:
+ - ALL
+ resources:
+ requests:
+ memory: "128Mi"
+ cpu: "100m"
+ limits:
+ memory: "512Mi"
+ cpu: "1000m"Note: If the backend writes temporary files, add an emptyDir volume for the temp directory.
📝 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.
| spec: | |
| containers: | |
| - name: backend | |
| image: dooms002/wanderlust-backend:54 | |
| ports: | |
| - containerPort: 8080 | |
| spec: | |
| containers: | |
| - name: backend | |
| image: dooms002/wanderlust-backend:54 | |
| ports: | |
| - containerPort: 8080 | |
| securityContext: | |
| allowPrivilegeEscalation: false | |
| runAsNonRoot: true | |
| readOnlyRootFilesystem: true | |
| capabilities: | |
| drop: | |
| - ALL | |
| resources: | |
| requests: | |
| memory: "128Mi" | |
| cpu: "100m" | |
| limits: | |
| memory: "512Mi" | |
| cpu: "1000m" |
🧰 Tools
🪛 Trivy (0.69.3)
[error] 21-24: Root file system is not read-only
Container 'backend' of Deployment 'wander-backend' should set 'securityContext.readOnlyRootFilesystem' to true
Rule: KSV-0014
(IaC/Kubernetes)
[error] 21-24: Default security context configured
container wander-backend in wanderlust namespace is using the default security context
Rule: KSV-0118
(IaC/Kubernetes)
[error] 19-24: Default security context configured
deployment wander-backend in wanderlust namespace is using the default security context, which allows root privileges
Rule: KSV-0118
(IaC/Kubernetes)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@kubernetes/backend.yml` around lines 19 - 24, The backend Pod spec (the
container named "backend" in spec.containers) needs security hardening and
resource constraints: add a securityContext on the container (set
runAsNonRoot/runAsUser, runAsGroup/fsGroup as appropriate, set
allowPrivilegeEscalation: false and drop all capabilities) and a pod-level
securityContext readOnlyRootFilesystem where compatible; also add
resources.requests and resources.limits (cpu and memory) to the "backend"
container to prevent noisy-neighbor issues, and if the service writes temp files
add an emptyDir volume and mount it into the container (update spec.volumes and
the container's volumeMounts) so temporary data is isolated. Ensure all changes
apply to the existing container named "backend" and keep
image/dooms002/wanderlust-backend:54 unchanged.
| spec: | ||
| containers: | ||
| - name: backend | ||
| image: dooms002/wanderlust-backend:54 |
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Critical: Filename mismatch prevents image tag updates in deployment pipeline.
The Argo-cd/Jenkinsfile targets backend.yaml at line 42, but this file is named backend.yml. When the sed command runs within the kubernetes/ directory, it fails to find backend.yaml and skips the image tag update, leaving the hardcoded :54 tag in place.
Rename kubernetes/backend.yml to kubernetes/backend.yaml or update the Argo-cd/Jenkinsfile to reference backend.yml.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@kubernetes/backend.yml` at line 22, The deployment pipeline is skipping image
tag updates because the repository contains "backend.yml" while the
Argo-cd/Jenkinsfile expects "backend.yaml"; fix by either renaming the file
"backend.yml" -> "backend.yaml" or updating the Argo-cd/Jenkinsfile reference
from "backend.yaml" to "backend.yml" so the sed image replacement targets the
correct manifest (confirm the hardcoded image line "image:
dooms002/wanderlust-backend:54" in the backend manifest is updated by the
pipeline after the change).
| spec: | ||
| containers: | ||
| - name: frontend | ||
| image: dooms002/wanderlust-frontend:54 | ||
| ports: | ||
| - containerPort: 80 |
There was a problem hiding this comment.
Add security context to harden the container.
Static analysis correctly flags missing security context. Running containers without restrictions allows privilege escalation and root access.
🛡️ Proposed security hardening
spec:
containers:
- name: frontend
image: dooms002/wanderlust-frontend:54
ports:
- containerPort: 80
+ securityContext:
+ allowPrivilegeEscalation: false
+ runAsNonRoot: true
+ readOnlyRootFilesystem: true
+ capabilities:
+ drop:
+ - ALL
+ resources:
+ requests:
+ memory: "64Mi"
+ cpu: "100m"
+ limits:
+ memory: "256Mi"
+ cpu: "500m"Note: If the frontend container writes to the filesystem (e.g., nginx temp files), you may need to add a writable emptyDir volume for /tmp or /var/cache/nginx.
📝 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.
| spec: | |
| containers: | |
| - name: frontend | |
| image: dooms002/wanderlust-frontend:54 | |
| ports: | |
| - containerPort: 80 | |
| spec: | |
| containers: | |
| - name: frontend | |
| image: dooms002/wanderlust-frontend:54 | |
| ports: | |
| - containerPort: 80 | |
| securityContext: | |
| allowPrivilegeEscalation: false | |
| runAsNonRoot: true | |
| readOnlyRootFilesystem: true | |
| capabilities: | |
| drop: | |
| - ALL | |
| resources: | |
| requests: | |
| memory: "64Mi" | |
| cpu: "100m" | |
| limits: | |
| memory: "256Mi" | |
| cpu: "500m" |
🧰 Tools
🪛 Trivy (0.69.3)
[error] 21-24: Root file system is not read-only
Container 'frontend' of Deployment 'wander-frontend' should set 'securityContext.readOnlyRootFilesystem' to true
Rule: KSV-0014
(IaC/Kubernetes)
[error] 21-24: Default security context configured
container wander-frontend in wanderlust namespace is using the default security context
Rule: KSV-0118
(IaC/Kubernetes)
[error] 19-24: Default security context configured
deployment wander-frontend in wanderlust namespace is using the default security context, which allows root privileges
Rule: KSV-0118
(IaC/Kubernetes)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@kubernetes/frontend.yml` around lines 19 - 24, The frontend container spec is
missing a securityContext; update the spec for the container named "frontend" to
harden it by adding a securityContext that enforces non-root execution (e.g.,
runAsNonRoot: true and runAsUser set to a nonzero UID), disables privilege
escalation (allowPrivilegeEscalation: false), drops capabilities
(capabilities.drop: ["ALL"]) and enables a readOnlyRootFilesystem where
appropriate; if the frontend needs writable scratch space (as hinted for nginx
temp/cache), add an emptyDir volume and mount it into the container (e.g., /tmp
or /var/cache/nginx) so you can keep the root filesystem read-only while still
allowing necessary writes.
| spec: | ||
| containers: | ||
| - name: frontend | ||
| image: dooms002/wanderlust-frontend:54 |
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Critical: Filename mismatch will prevent image tag updates in ArgoCD pipeline.
The sed command in Argo-cd/Jenkinsfile targets frontend.yaml, but this file is named kubernetes/frontend.yml. The ArgoCD deployment pipeline will fail to update the image tag, leaving it hardcoded at :54.
Rename this file to kubernetes/frontend.yaml or update the sed command in Argo-cd/Jenkinsfile to reference kubernetes/frontend.yml.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@kubernetes/frontend.yml` at line 22, The ArgoCD image-update sed in
Argo-cd/Jenkinsfile is targeting frontend.yaml but the manifest is named
kubernetes/frontend.yml so the image tag ("image:
dooms002/wanderlust-frontend:54") will never be updated; fix by either renaming
kubernetes/frontend.yml to kubernetes/frontend.yaml or update the sed/lookup in
Argo-cd/Jenkinsfile to reference kubernetes/frontend.yml (ensure the target
string matches the manifest name and the image line).
| hostPath: | ||
| path: /data/db | ||
| path: /data/db No newline at end of file |
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Avoid hostPath here without node affinity constraints.
Lines 12-13 use hostPath for MongoDB persistence without any node selector or affinity rules in the Deployment. If the pod is rescheduled to a different node, it loses access to the original /data/db path and the data becomes inaccessible. For production setups, use a StorageClass-backed volume or a local PersistentVolume with nodeAffinity to pin the pod to a specific node.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@kubernetes/perstintvolum.yml` around lines 12 - 13, The manifest currently
uses hostPath with path: /data/db which can cause data loss if the Pod moves
nodes; replace this with a StorageClass-backed PersistentVolumeClaim or, if
using a local PV, create a PersistentVolume that uses hostPath plus nodeAffinity
to pin the node and update the Deployment to reference the PVC (or include a
nodeSelector/nodeAffinity in the Deployment) so the Pod cannot be scheduled away
from the node that holds /data/db; ensure resources reference the PVC name in
volumes and mounts instead of hostPath and add a StorageClass or nodeAffinity
block on the PersistentVolume and Deployment accordingly.
project completed
Summary by CodeRabbit
Release Notes
Infrastructure & Deployment
31000instead of development server on5173.Removed