Add Docker setup for Flask backend with ffmpeg and Compose support #82
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WalkthroughAdds Docker-based containerization for the OptiFit Flask backend: a Dockerfile, docker-compose service, .dockerignore, deployment guide, and README updates to document Docker-first quick-start and configuration details. Changes
Sequence Diagram(s)sequenceDiagram
participant Dev as Developer
participant Compose as docker-compose
participant Engine as Docker Engine
participant Container as optifit-backend
participant App as Flask App (/ping)
Dev->>Compose: docker-compose up -d
Compose->>Engine: build ./ (uses Dockerfile)
Engine->>Engine: install system deps, pip install -r requirements.txt
Engine->>Engine: copy app source, create uploads/ processed/
Engine->>Container: start container (python app.py)
Container->>App: initialize routes
rect rgb(230, 245, 255)
Note over Engine,Container: Healthcheck window (start_period: 40s)
end
Engine->>Container: curl -f http://localhost:5000/ping
Container->>App: GET /ping
App->>Container: 200 OK
Container->>Engine: healthcheck success
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Poem
Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (3 passed)
✨ Finishing touches🧪 Generate unit tests (beta)
Comment |
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Actionable comments posted: 2
🧹 Nitpick comments (5)
optifit backend/Dockerfile (2)
13-13: Remove duplicate system dependency.
libglib2.0-0appears on both line 13 and line 18. Remove the redundant entry on line 18 to clean up the package list.- libglib2.0-0 \Also applies to: 18-18
6-6: Consider making FLASK_ENV configurable for development.Setting
FLASK_ENV=productionin the Dockerfile forces production mode for all containers built from this image, preventing flexible use in development environments. The docker-compose.yml already overrides this (line 13), but hardcoding in the Dockerfile limits reusability.Remove the hardcoded
FLASK_ENV=productionline from the Dockerfile and rely on docker-compose.yml to set it:-ENV FLASK_ENV=productionThen ensure docker-compose.yml always sets the appropriate environment:
environment: - FLASK_ENV=production - PYTHONUNBUFFERED=1This allows the Dockerfile to remain environment-agnostic while docker-compose enforces the desired setting.
optifit backend/docker-compose.yml (1)
6-6: Consider making container name configurable for flexibility.The hardcoded
container_name: optifit-backendprevents running multiple instances or development variations (e.g., different branches, staging vs. production) simultaneously. For development workflows, consider removing this line and letting Docker auto-generate names, or use a project name override.For development flexibility, you could omit the fixed container name or use a .env file:
- container_name: optifit-backend + # container_name: ${CONTAINER_NAME:-optifit-backend}Then set
CONTAINER_NAMEin a.envfile or export it before runningdocker-compose up.optifit backend/DOCKER_DEPLOYMENT.md (2)
15-18: Add step to pre-create volume directories.Before running
docker-compose up -d, host directories (./uploads, ./processed) should exist to avoid Docker creating them with root ownership on Linux systems, which can cause permission issues later.Add a preliminary step in the Quick Start section:
1. **Navigate to the backend directory:** ```bash cd "optifit backend" + mkdir -p uploads processed ``` 2. **Start the service:**This ensures proper directory permissions and prevents potential write failures when the container tries to access these volumes.
177-195: Security recommendations shown in documentation are not implemented in the provided Dockerfile.The guide suggests running as non-root (lines 178–181), using secrets (lines 184–187), and limiting capabilities (lines 189–195). However, none of these are implemented in the actual Dockerfile. These represent a gap between recommended practices and the current implementation.
If you'd like, I can help you:
- Generate an updated Dockerfile with non-root user, secrets support, and capability limits
- Create a docker-compose override file for production deployments with these security configurations
- Add a note clarifying that these are aspirational best practices for future hardening
Would any of these be helpful?
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📒 Files selected for processing (5)
optifit backend/.dockerignore(1 hunks)optifit backend/DOCKER_DEPLOYMENT.md(1 hunks)optifit backend/Dockerfile(1 hunks)optifit backend/README_BACKEND.md(1 hunks)optifit backend/docker-compose.yml(1 hunks)
🔇 Additional comments (5)
optifit backend/.dockerignore (1)
1-84: Comprehensive and well-organized ignore patterns.The .dockerignore file appropriately excludes build artifacts, IDE files, tests, documentation, and runtime-generated assets while preserving .gitkeep marker files. The patterns align nicely with the volume structure defined in docker-compose.yml.
optifit backend/README_BACKEND.md (1)
22-40: Clear Docker-first guidance with fallback for manual setup.The restructured Getting Started section effectively prioritizes Docker deployment with concise examples, while maintaining a clear path for developers preferring manual setup. The reference to the new DOCKER_DEPLOYMENT.md guide is well-placed.
optifit backend/Dockerfile (1)
35-36: Verify healthcheck endpoint availability and timeout alignment.The Dockerfile defines a healthcheck with
--timeout=30s, but docker-compose.yml (line 19) specifiestimeout: 10s. While docker-compose settings take precedence at runtime, the mismatch could cause confusion. Clarify which is the intended timeout.Additionally, ensure the
/pingendpoint exists in app.py and responds within 10 seconds under normal operating conditions to avoid false positives in the healthcheck.Can you verify:
- That the
/pingendpoint exists in app.py and responds reliably within 10 seconds?- Whether the 10-second timeout in docker-compose.yml is intentional (recommend reducing Dockerfile timeout to match or removing it if docker-compose takes precedence)?
optifit backend/docker-compose.yml (2)
9-11: Verify volume directory permissions and creation strategy.The volumes bind ./uploads and ./processed from the host to the container. On Linux hosts, if these directories don't exist, Docker creates them with root ownership, potentially causing permission issues when the Flask app (possibly running as root inside the container) tries to write to them, or when you try to access them from the host.
Ensure the DOCKER_DEPLOYMENT.md or a setup script addresses:
- Pre-creation of ./uploads and ./processed directories with appropriate permissions
- Confirmation that the Flask app can write to these directories at runtime
Alternatively, consider adding a note in the deployment guide about running:
mkdir -p uploads processedbefore
docker-compose up.
22-27: Resource limits are well-configured for video processing workload.The 2GB memory hard limit and 512MB reservation appropriately balance resource isolation and availability. Since this is a CPU-intensive workload (video processing with ffmpeg, pose detection), consider whether to add CPU limits in production deployments.
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Actionable comments posted: 1
🧹 Nitpick comments (1)
optifit backend/DOCKER_DEPLOYMENT.md (1)
35-50: Docker run example should include volume mounting.The direct Docker command example doesn't show volume mounting. Without
-vflags foruploadsandprocesseddirectories, users will lose files when the container restarts. Consider updating the example:2. **Run the container:** ```bash - docker run -d --name optifit-backend -p 5000:5000 optifit-backend + docker run -d --name optifit-backend -p 5000:5000 \ + -v $(pwd)/uploads:/app/uploads \ + -v $(pwd)/processed:/app/processed \ + optifit-backend ```This ensures users understand the importance of volume persistence for data retention.
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📒 Files selected for processing (5)
optifit backend/.dockerignore(1 hunks)optifit backend/DOCKER_DEPLOYMENT.md(1 hunks)optifit backend/Dockerfile(1 hunks)optifit backend/README_BACKEND.md(1 hunks)optifit backend/docker-compose.yml(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (3)
- optifit backend/README_BACKEND.md
- optifit backend/Dockerfile
- optifit backend/docker-compose.yml
🔇 Additional comments (9)
optifit backend/.dockerignore (2)
52-52: Clarify docker-compose.yml exclusion rationale.Line 52 excludes
docker-compose.ymlfrom the Docker image. Ifdocker-compose.ymlis intended to be versioned with the application and deployed alongside it (e.g., via Git clone), this exclusion is correct. However, if it should be included in the image for self-contained deployments, consider removing this line.Please clarify the deployment model to confirm this exclusion is intentional.
76-77: Good practice: Preserving directory structure with .gitkeep.The exceptions for
uploads/.gitkeepandprocessed/.gitkeepensure that these runtime directories persist in the image even when the contents are ignored. This is a solid approach for maintaining the expected directory structure.Also applies to: 80-81
optifit backend/DOCKER_DEPLOYMENT.md (7)
85-89: Health check documentation is now accurate.The health check values now correctly match the docker-compose.yml configuration (10-second timeout, 40-second start period). This resolves the previous discrepancy noted in earlier review.
139-195: Production deployment and security sections are comprehensive.The production deployment guidance covers essential aspects (restart policies, resource scaling, external volumes, reverse proxy) with concrete, actionable YAML examples. Security considerations (non-root user, secrets management, capability restrictions) reflect industry best practices.
197-229: Monitoring section provides practical operational guidance.The monitoring commands are well-organized and cover health checks, logs, and resource usage. The format makes it easy for operators to debug and observe container behavior in production.
91-137: Troubleshooting section is well-organized and actionable.The troubleshooting flows follow a logical progression from general diagnostics (logs, resources) to component-specific checks (ffmpeg, dependencies). This structure helps users narrow down issues systematically.
246-266: Backup and recovery procedures are straightforward.The tar-based backup approach is appropriate for file-based assets. Commands are clear and follow standard compression practices.
52-61: API endpoints section is clear and well-organized.The endpoint list provides a good quick reference for users testing the deployed service. The descriptions are concise and map to expected backend functionality.
62-82: Configuration section documents key parameters clearly.Environment variables, resource limits, and volume mounts are all well-documented and consistent with the quick-start and prerequisites sections. Resource limits (2GB memory limit) align with the stated requirement at the start of the guide.
| ## Scaling | ||
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| ### Horizontal Scaling | ||
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| To scale the service: | ||
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| ```bash | ||
| # Scale to 3 instances | ||
| docker-compose up -d --scale optifit-backend=3 | ||
| ``` | ||
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| ### Load Balancing | ||
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| Use a load balancer (nginx, traefik) to distribute requests across multiple instances. |
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🧩 Analysis chain
Scaling section needs to address configuration prerequisites.
The scaling guidance doesn't acknowledge critical constraints that prevent the provided command from working:
- The hardcoded
container_name: optifit-backendin docker-compose.yml prevents scaling (Docker requires unique container names for multiple instances). - Fixed port mapping (
5000:5000) conflicts with scaling—each instance needs a unique host port.
Before scaling can work, the docker-compose.yml must be updated to remove or make container_name configurable and change ports to a range (e.g., "5000-5010:5000").
Consider updating the scaling section to include these prerequisites:
## Scaling
### Horizontal Scaling
+**Prerequisites for scaling:**
+1. Remove or make the `container_name` configurable in docker-compose.yml (currently hardcoded as "optifit-backend")
+2. Change port mapping to a range (e.g., `"5000-5010:5000"`) instead of a fixed port
+3. Configure a load balancer (nginx, traefik) to distribute requests
+
To scale the service:
```bash
# Scale to 3 instances
docker-compose up -d --scale optifit-backend=3Load Balancing
-Use a load balancer (nginx, traefik) to distribute requests across multiple instances.
+You must then configure a load balancer (nginx, traefik) to distribute requests across the dynamically assigned ports.
This prevents users from attempting to scale without understanding the prerequisite configuration changes needed. Is the docker-compose.yml configured to allow scaling, or should this section be reframed as a "future enhancement"?
---
I need to verify the actual state of the docker-compose.yml file to confirm the concerns raised. Let me search the repository.
---
🏁 Script executed:
```shell
#!/bin/bash
# Find docker-compose files in the repository
fd -e yml -e yaml | grep -i docker-compose
Length of output: 34
🏁 Script executed:
#!/bin/bash
# Also search for docker-compose files with different naming conventions
fd docker-composeLength of output: 34
🏁 Script executed:
#!/bin/bash
# Read the docker-compose.yml file to verify configuration
cat "optifit backend/docker-compose.yml"Length of output: 765
Scaling documentation conflicts with current docker-compose.yml configuration—prerequisites must be addressed.
The review comment is verified as accurate. The docker-compose.yml file contains:
- Hardcoded
container_name: optifit-backend(prevents multiple instances—Docker requires unique names) - Fixed port mapping
"5000:5000"(prevents multiple instances from binding to the same host port)
The scaling command provided in the documentation (docker-compose up -d --scale optifit-backend=3) would fail with the current configuration. The documentation must be updated to either:
- Add a prerequisites section explaining the required docker-compose.yml changes (remove/make container_name configurable, change ports to a range)
- Reframe scaling as a future enhancement that requires these configuration changes first
The suggested diff in the review comment appropriately addresses this gap by explicitly calling out the prerequisites before users attempt the scaling command.
🤖 Prompt for AI Agents
In optifit backend/DOCKER_DEPLOYMENT.md around lines 231 to 244, the scaling
instructions conflict with the current docker-compose.yml (which hardcodes
container_name and fixed host port 5000:5000), so update the doc to either (A)
add a "Prerequisites" subsection before the Horizontal Scaling example listing
exact required docker-compose.yml changes: remove or parameterize
container_name, remove fixed host port binding or use ephemeral/host port ranges
or publish mode (or use docker swarm/kubernetes), and note how to run compose
without conflicting ports; or (B) reframe the scaling section as a future
enhancement and explicitly state that scaling will fail until those compose
changes are made—choose one approach and make the corresponding text changes so
users are warned and instructed before attempting docker-compose --scale.
2 participants
User description
Description
Added Docker containerization for the Flask backend to simplify deployment and testing.
Related Issue
Fixes #78
Type of Change
Checklist
Changes Made
Dockerfilewith ffmpeg support.dockerignoreto optimize image builddocker-compose.ymlfor multi-service setupoptifit-backend/DOCKER_DEPLOYMENT.mdfor setup guideREADME.mdwith Docker instructionsVerification
http://localhost:5000Screenshots
Docker Build & Container Run
Web Verification
PR Type
Enhancement, Documentation
Description
Added Docker containerization for Flask backend with ffmpeg support
Created docker-compose.yml for simplified multi-service deployment
Added comprehensive Docker deployment guide with troubleshooting steps
Updated backend README with Docker quick-start instructions
Diagram Walkthrough
File Walkthrough
Dockerfile
Docker image configuration with ffmpeg supportoptifit backend/Dockerfile
libraries
processing tools
docker-compose.yml
Docker Compose multi-service orchestration configurationoptifit backend/docker-compose.yml
.dockerignore
Docker build optimization ignore patternsoptifit backend/.dockerignore
DOCKER_DEPLOYMENT.md
Complete Docker deployment guide and referenceoptifit backend/DOCKER_DEPLOYMENT.md
Compose
README_BACKEND.md
Updated backend README with Docker instructionsoptifit backend/README_BACKEND.md
method
Summary by CodeRabbit
New Features
Documentation
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