diff --git a/README.md b/README.md index 6f26e1e..8258ae6 100644 --- a/README.md +++ b/README.md @@ -1,33 +1,24 @@ -# SlideSpeak coding challenge: Build a PowerPoint to PDF marketing tool +# SlideSpeak coding challenge: Build a PowerPoint Video Extractor Tool ## The challenge! -Build a front-end implementation as well as a back-end service to convert PowerPoint documents to PDF format. This -should be done by implementing a simple **Next.js** front-end that posts a file to a **Python** server. You don’t have -to do the converting logic yourself as you can use unoconv or unoserver to do this (you can see more about this in the -acceptance criteria). The front-end is also already implemented in the /frontend folder. You only need to add the +Build a front-end implementation as well as a back-end service to extract videos from PowerPoint documents. This +should be done by implementing a simple **Next.js** front-end that posts a file to a **Python** server. +The front-end is also already implemented in the /frontend folder. You only need to add the necessary logic to switch between the steps and convert the file via the API that you're going to build. -- Webpage for the - tool: [https://slidespeak.co/free-tools/convert-powerpoint-to-pdf/](https://slidespeak.co/free-tools/convert-powerpoint-to-pdf/) -- Design: [https://www.figma.com/file/CRfT0MVMqIV8rAK6HgSnKA/SlideSpeak-Coding-Challenge?type=design&t=6m2fFDaRs72CowZH-6](https://www.figma.com/file/CRfT0MVMqIV8rAK6HgSnKA/SlideSpeak-Coding-Challenge?type=design&t=6m2fFDaRs72CowZH-6) +- The tool will be on a webpage similar to: [https://slidespeak.co/free-tools/convert-powerpoint-to-pdf/](https://slidespeak.co/free-tools/convert-powerpoint-to-pdf/) +- Figma Design: [https://www.figma.com/design/CRfT0MVMqIV8rAK6HgSnKA/SlideSpeak-Coding-Challenge?node-id=798-61](https://www.figma.com/design/CRfT0MVMqIV8rAK6HgSnKA/SlideSpeak-Coding-Challenge?node-id=798-61) ## Acceptance criteria ### Back-end API - Should be implemented in Python. -- Converting PowerPoints to PDF can be done with `unoconv` or `unoserver` via Docker if you want to be fancy πŸ˜€. You - don’t need to implement the converting logic yourself. - - [Documentation on how to use unoconv and spawn a process](https://pypi.org/project/unoconv/) - - Note: `unoconv` is deprecated but thats ok for this challenge - - [How to use unoserver via docker](https://gist.github.com/kgoedecke/44955d0b0b1ed4112bcfd3e237e135c0), this will - create an API that you can use based on [this](https://github.com/libreofficedocker/unoserver-rest-api) - documentation. - - Using unoserver is nice-to-have (but the preferred way), if you find unoconv easier use it instead -- The API should consist of one endpoint (POST /convert), which should do the following: - 1. Converts the attached file to PDF - 2. Uploads the PowerPoint and PDF file to Amazon S3 +- Extracting Videos from PowerPoint using a zip utility. This should support multiple processes in parallel. Preferably with a queue. +- The API should consist of one endpoint (POST /extract), which should do the following: + 1. Extracts the videos from the PowerPoint + 2. Uploads the videos to Amazon S3 via [boto3](https://boto3.amazonaws.com/v1/documentation/api/latest/index.html) 3. Creates a presigned URL for the user to download @@ -35,7 +26,7 @@ necessary logic to switch between the steps and convert the file via the API tha [https://medium.com/@aidan.hallett/securing-aws-s3-uploads-using-presigned-urls-aa821c13ae8d](https://medium.com/@aidan.hallett/securing-aws-s3-uploads-using-presigned-urls-aa821c13ae8d) - 4. Returns the presigned S3 url to the client which allows the user to download the file (by opening the url in new + 4. Returns the presigned S3 url/urls to the client which allows the user to download the file (by opening the url in new tab) ### Front-end app @@ -45,11 +36,11 @@ necessary logic to switch between the steps and convert the file via the API tha ## Nice to haves / tips -- Uses unoserver to convert PowerPoint to PDF via docker compose +- Uses a queuing system like Celery and Redis - The logic of the front-end ideally should not rely on useEffect too much since it can be difficult to track what is happening - Tests - Use conventional commit message style: https://www.conventionalcommits.org/en/v1.0.0/ - Lint your code - Keep commits clean -- If you want to be really fancy you can add queuing with Celery \ No newline at end of file +- Setup with Docker Compose diff --git a/backend/.env.example b/backend/.env.example new file mode 100644 index 0000000..334cfde --- /dev/null +++ b/backend/.env.example @@ -0,0 +1,6 @@ +AWS_ACCESS_KEY= +AWS_SECRET_KEY= +S3_BUCKET_NAME= +AWS_REGION= +CELERY_BROKER_URL=redis://redis:6379/0 +CELERY_BACKEND_URL=redis://redis:6379/0 \ No newline at end of file diff --git a/backend/.gitignore b/backend/.gitignore new file mode 100644 index 0000000..e4ffba9 --- /dev/null +++ b/backend/.gitignore @@ -0,0 +1,3 @@ +.env +app/__pycache__ +app/__pycache__/* \ No newline at end of file diff --git a/backend/Dev.Dockerfile b/backend/Dev.Dockerfile new file mode 100644 index 0000000..040f4e9 --- /dev/null +++ b/backend/Dev.Dockerfile @@ -0,0 +1,16 @@ +FROM python:3.12-slim-bookworm + +WORKDIR /app + +# Install system dependencies (unzip) +RUN apt-get update && apt-get install -y unzip + +# Install Python dependencies +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +# Copy application code +COPY ./app /app + +# Run the FastAPI app +CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"] diff --git a/backend/Dev.Dockerfile.celery b/backend/Dev.Dockerfile.celery new file mode 100644 index 0000000..c58f7a5 --- /dev/null +++ b/backend/Dev.Dockerfile.celery @@ -0,0 +1,24 @@ +FROM python:3.12-slim-bookworm + +WORKDIR /app + +# Install system dependencies +RUN apt-get update && apt-get install -y \ + unzip \ + gcc \ + libffi-dev \ + musl-dev \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + +# Copy & Install Python dependencies +COPY requirements.txt requirements.txt +COPY requirements-dev.txt requirements-dev.txt +RUN pip install --no-cache-dir -r requirements.txt +RUN pip install --no-cache-dir -r requirements-dev.txt + +# Copy application code +COPY ./app /app + +# Run Celery worker with watchdog +CMD ["watchmedo", "auto-restart", "-d", ".", "-R", "-p", "*.py", "--debug-force-polling", "--", "celery", "-A", "video_extractor.celery", "worker", "--loglevel=info", "-c", "16"] diff --git a/backend/Dockerfile b/backend/Dockerfile new file mode 100644 index 0000000..a197511 --- /dev/null +++ b/backend/Dockerfile @@ -0,0 +1,16 @@ +FROM python:3.12-slim-bookworm + +WORKDIR /app + +# Install system dependencies (unzip) +RUN apt-get update && apt-get install -y unzip + +# Install Python dependencies +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +# Copy application code +COPY ./app /app + +# Run the FastAPI app +CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--proxy-headers"] \ No newline at end of file diff --git a/backend/Dockerfile.celery b/backend/Dockerfile.celery new file mode 100644 index 0000000..94c6674 --- /dev/null +++ b/backend/Dockerfile.celery @@ -0,0 +1,22 @@ +FROM python:3.12-slim-bookworm + +WORKDIR /app + +# Install system dependencies +RUN apt-get update && apt-get install -y \ + unzip \ + gcc \ + libffi-dev \ + musl-dev \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + +# Install Python dependencies +COPY requirements.txt requirements.txt +RUN pip install --no-cache-dir -r requirements.txt + +# Copy application code +COPY ./app /app + +# Set the default command to run Celery worker +CMD ["celery", "-A", "video_extractor.celery", "worker", "--loglevel=info", "-c", "16"] diff --git a/backend/README.md b/backend/README.md index 2533c50..a7f9dec 100644 --- a/backend/README.md +++ b/backend/README.md @@ -2,8 +2,201 @@ - Having Docker installed on your system. -## Running the docker container +## Running the docker containers -```bash -docker compose up --build -``` \ No newline at end of file +The project includes a `Makefile` to simplify common Docker Compose tasks. You can use the following commands to manage your development and production environments: + +### Available Commands + +| Command | Description | +|---------------|---------------------------------------------------------------------------------------------| +| `make start` | Starts the development environment using `docker-compose.yml`. | +| `make build` | Builds the Docker images and starts the development environment. | +| `make detach` | Builds the Docker images, starts the development environment in detached mode (background). | +| `make down` | Stops and removes all containers, networks, and volumes defined in `docker-compose.yml`. | +| `make prod` | Starts the production environment using `docker-compose.prod.yml`. | +| `make prod-down` | Stops and removes all containers, networks, and volumes defined in `docker-compose.prod.yml`. | + +--- + +### How to Use + +1. **Start Development Environment**: + - Run the following command to start your development environment: + ```bash + make start + ``` + - This command will spin up the containers as defined in `docker-compose.yml`. + +2. **Build and Start Containers**: + - If you’ve made changes to your Dockerfile or dependencies, rebuild the containers with: + ```bash + make build + ``` + +3. **Run in Detached Mode**: + - To run the containers in the background, use: + ```bash + make detach + ``` + +4. **Shut Down the Environment**: + - To stop and clean up all containers, networks, and volumes, run: + ```bash + make down + ``` + +5. **Start Production Environment**: + - Use this command to start the production environment defined in `docker-compose.prod.yml`: + ```bash + make prod + ``` + +6. **Shut Down Production Environment**: + - To stop and clean up the production containers, use: + ```bash + make prod-down + ``` + +*** + +## Pulgamecanica walkthoguh + + +### How Videos Are Stored in PowerPoint Files? + + PowerPoint files with the .pptx extension are essentially ZIP archives that follow the Office Open XML standard. + + They contain various directories and XML files for slides, images, audio, and video. Videos embedded in a PowerPoint are usually stored as media files within the ppt/media folder inside the ZIP archive. + + +*** + +### How SlideSpeak Extracts Videos from .pptx Files + + Treat .pptx as a ZIP Archive: Use unzip tool extract its contents. + +```py +subprocess.run( + ["unzip", "-j", pptx_file_path, "ppt/media/*", "-d", output_path], + check=True, + shell=False, + ) +``` + +As seen here: https://github.com/SlideSpeak/image-extractor-cli/blob/30c5ad96ffbc3aaea63b01928630b3efe87e62e9/image_extractor.py#L110C9-L114C10 + + + unzip: Unzips the file. + -j: Junk the directory structure (extracts files without retaining folder hierarchy). + pptx_file_path: Path to the .pptx file. + ppt/media/*: Extracts only files from the ppt/media/ directory. + -d output_path: Specifies the directory to extract the files. + + + Any file with video formats such as .mp4, .mov, .avi, etc., is likely a video. + + Extract Relevant Files: Extract the video files into a temporary directory for further processing or upload. + +*** + +### Celery + +Celery is running on a docker container. +You can use celery by implementing the decorator on the function you wish to queue. +Then you should use `.delay` to trigger the celery queue which will return the task id. +After that you can query the celery worker for the result, if any. + +### Coding + +Now we know what the python script should look like. + +Fast API route: +**POST** _/extract_ + +- @params: + - file: file.pptx + +##### NOTE: + How to make a test with postman when a post requires a named file parameter? + You should go to postman and change the request to a post. + Then on the Body section choose form-data. + Then hover on the `Key` section and choose "File" on the dropdown. + Then you can put the key `file` and choose the file for the value. + +### Structure + +We will use fastapi to create an endpoint where we can `post` pptx files and get a response appropiate for the desired output. (likely to be a ref. to the S3 bucket were we will store the videos) + +``` +backend/ +β”œβ”€β”€ app/ +β”‚ β”œβ”€β”€ __init__.py +β”‚ β”œβ”€β”€ main.py # Entry point for FastAPI app +β”‚ β”œβ”€β”€ tasks.py # Logic for video extraction and S3 upload +β”œβ”€β”€ requirements.txt +β”œβ”€β”€ Dockerfile +β”œβ”€β”€ docker-compose.yml +β”œβ”€β”€ README.md +└── .env +``` + +### Dependencies + +- fastapi: Framework for building the backend API. +- uvicorn: ASGI server for running the FastAPI application. +- boto3: AWS SDK for Python to interact with Amazon S3. +- python-multipart: Required by FastAPI to handle file uploads. +- celery: Task queue system for parallel processing. +- redis: Backend for Celery and message broker. +- aiofiles: Asynchronous file I/O for FastAPI when saving uploaded files + + +## Zipping Videos for S3 Upload + +When multiple video files are extracted from the PowerPoint presentation, the project uses Python's `shutil.make_archive()` to create a compressed ZIP file for efficient storage and upload to S3. + +### How It Works + +1. **Single Video**: + - If only one video is found, it is uploaded directly to S3 without compression. + - The S3 link for the video is returned. + +2. **Multiple Videos**: + - If multiple videos are found, they are compressed into a single ZIP file using `shutil.make_archive()` before being uploaded to S3. + - The S3 link for the ZIP file is returned. + +3. **ZIP Creation**: + - The `shutil.make_archive()` function creates a standard ZIP file that is fully compatible with ZIP tools (e.g., Windows File Explorer, macOS Finder, `unzip` command). + - Compression ensures reduced file size for faster uploads and downloads. + +### Code Example + +Here’s how the ZIP archive is created in the project: + +```python +shutil.make_archive(zip_path.replace(".zip", ""), "zip", output_dir) +``` + +- **`zip_path.replace(".zip", "")`**: Defines the name of the ZIP file without the `.zip` extension (automatically added by the function). +- **`"zip"`**: Specifies the archive format (ZIP in this case). +- **`output_dir`**: The directory containing the extracted video files to include in the ZIP. + + +### CORS + +This is the current CORS setup: + +```py +# main.py + +app.add_middleware( + CORSMiddleware, + allow_origins=[], # Allowed origins + allow_credentials=True, + allow_methods=["*"], # Allowed HTTP methods + allow_headers=["*"], # Allowed headers +) +``` + +If you want to run in production or test it in your local network, you will need to change the configuration accordingly \ No newline at end of file diff --git a/backend/app/__init__.py b/backend/app/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/app/config.py b/backend/app/config.py new file mode 100644 index 0000000..b8cd8db --- /dev/null +++ b/backend/app/config.py @@ -0,0 +1,25 @@ +import os + +# S3 Configuration +AWS_ACCESS_KEY = os.getenv("AWS_ACCESS_KEY") +AWS_SECRET_KEY = os.getenv("AWS_SECRET_KEY") +S3_BUCKET_NAME = os.getenv("S3_BUCKET_NAME") +AWS_REGION = os.getenv("AWS_REGION") + +# Celery Configuration +CELERY_BROKER_URL = os.getenv("CELERY_BROKER_URL", "redis://redis:6379/0") +CELERY_BACKEND_URL = os.getenv("CELERY_BACKEND_URL", "redis://redis:6379/0") + +# Local Directories +LOCAL_DOCUMENTS_DIR = "shared_tmp" + +# Task Settings +MAX_CONVERT_TRIES = 5 +SOFT_TIME_LIMIT = 120 +TIME_LIMIT = 300 + +# CORS Settings +ALLOWED_ORIGINS = [ + "https://slidespeak.co", + "http://localhost:3000", +] diff --git a/backend/app/main.py b/backend/app/main.py new file mode 100644 index 0000000..f8143fb --- /dev/null +++ b/backend/app/main.py @@ -0,0 +1,48 @@ +from fastapi import FastAPI, UploadFile, HTTPException +from fastapi.middleware.cors import CORSMiddleware +from video_extractor import extract_videos_task, celery +from config import ALLOWED_ORIGINS, LOCAL_DOCUMENTS_DIR +from celery.result import AsyncResult +import os +import uuid + +app = FastAPI() + +# Allow CORS for the frontend +app.add_middleware( + CORSMiddleware, + allow_origins=ALLOWED_ORIGINS, # Allowed origins + allow_credentials=True, + allow_methods=["*"], # Allowed HTTP methods + allow_headers=["*"], # Allowed headers +) + +@app.post("/extract") +async def extract_videos(file: UploadFile): + # if file.content_type != "application/vnd.openxmlformats-officedocument.presentationml.presentation": + if file.content_type != "application/vnd.openxmlformats-officedocument.presentationml.presentation": + raise HTTPException(status_code=400, detail="Invalid file type. Please upload a PowerPoint file.") + + # Save file temporarily + temp_path = f"/{LOCAL_DOCUMENTS_DIR}/{uuid.uuid4()}_{file.filename}" + with open(temp_path, "wb") as f: + content = await file.read() + f.write(content) + + # Queue the extraction task + task = extract_videos_task.delay(temp_path) + + return {"task_id": str(task.id), "status": "Task sent to Celery worker"} + +@app.get("/get-result/{task_id}") +async def get_result(task_id: str): + # Retrieve result from celery + task = AsyncResult(task_id, app=celery) + + if task.ready(): + task_result = task.result + task.forget() + return {"status": "SUCCESS", "result": task_result} + else: + return {"status": "PENDING", "result": None} + diff --git a/backend/app/video_extractor.py b/backend/app/video_extractor.py new file mode 100644 index 0000000..c2297d9 --- /dev/null +++ b/backend/app/video_extractor.py @@ -0,0 +1,153 @@ +import os +import subprocess +import boto3 +from celery import Celery +from botocore.exceptions import NoCredentialsError +from config import ( + AWS_ACCESS_KEY, AWS_SECRET_KEY, S3_BUCKET_NAME, AWS_REGION, + CELERY_BROKER_URL, CELERY_BACKEND_URL, + SOFT_TIME_LIMIT, TIME_LIMIT, MAX_CONVERT_TRIES +) +import shutil + +# Setup Celery +celery = Celery( + "video_extractor", + broker=CELERY_BROKER_URL, + backend=CELERY_BACKEND_URL, + +) + +# AWS S3 Client +s3_client = boto3.client( + "s3", + aws_access_key_id=AWS_ACCESS_KEY, + aws_secret_access_key=AWS_SECRET_KEY, + region_name=AWS_REGION, +) + + +def convert_pptx_with_unzip(pptx_file_path, output_dir): + """ + Convert the .pptx file to a raw directory structure using Unzip. + + Args: + pptx_file_path (str): Path to the pptx file. + output_dir (str): Path to the output directory (*_output) + """ + os.makedirs(output_dir, exist_ok=True) + unzip_command = [ + "unzip", + "-j", + pptx_file_path, + "ppt/media/*", + "-d", + output_dir, + ] + + try: + subprocess.run(unzip_command, check=True, shell=False) + except subprocess.CalledProcessError as e: + raise RuntimeError(f"Unzip conversion failed: {e}") + finally: + if not os.path.exists(output_dir): + raise RuntimeError(f"Unzip didnt provide the output file: {output_dir}") + + +def filter_files_by_extension(output_dir, extensions): + """ + Filters files in the given directory, keeping only those with specified extensions. + + Args: + output_dir (str): Path to the directory to filter. + extensions (set): A set of file extensions to keep (e.g., {".mp4", ".mov"}). + """ + for file in os.listdir(output_dir): + if not any(file.lower().endswith(ext) for ext in extensions): + os.remove(os.path.join(output_dir, file)) + + +def upload_to_s3(file_path, s3_key): + """ + Upload a file to S3 and generate a presigned URL. + + Args: + file_path (str): The file to be uploadedr. + s3_key (set): The s3 key, where it will live in the bucket. + """ + try: + s3_client.upload_file(file_path, S3_BUCKET_NAME, s3_key) + return s3_client.generate_presigned_url( + "get_object", + Params={"Bucket": S3_BUCKET_NAME, "Key": s3_key}, + ExpiresIn=3600, # URL expires in 1 hour + ) + except NoCredentialsError: + raise RuntimeError("AWS credentials not found.") + except Exception as e: + raise RuntimeError(f"Error uploading to S3: {e}") + + +@celery.task( + soft_time_limit=SOFT_TIME_LIMIT, + time_limit=TIME_LIMIT, + max_retries=MAX_CONVERT_TRIES, + priority=10, +) +def extract_videos_task(file_path): + """ + Celery task to extract videos from a PowerPoint file. + + Args: + file_path (str): Path to the downloaded pptx file. + """ + output_dir = f"{file_path.replace(' ', '')}_output" + zip_path = f"{file_path.replace(' ', '')}.zip" + + try: + # Make sure path does not exist, could exist if an error occured and didnt cleanup + if os.path.exists(output_dir): + subprocess.run(["rm", "-rf", output_dir], check=False) + + # Step 1: Convert the PowerPoint file to a ZIP-like structure using Unzip + convert_pptx_with_unzip(file_path, output_dir) + + # Step 2: Extract videos from the converted directory + video_extensions = {".mp4", ".mov", ".avi", ".mkv"} + filter_files_by_extension(output_dir, video_extensions) + extracted_files = os.listdir(output_dir) + + if not extracted_files: + raise RuntimeError("No video files were found in the uploaded presentation.") + + if len(extracted_files) == 1: + # Only one video file, upload it directly + file_to_upload = os.path.join(output_dir, extracted_files[0]) + s3_key = f"videos/{os.path.basename(file_to_upload)}" + else: + # Multiple files, zip the directory + shutil.make_archive(zip_path.replace(".zip", ""), "zip", output_dir) + file_to_upload = zip_path + s3_key = f"videos/{os.path.basename(zip_path)}" + + # Step 3: Upload videos to S3 and generate presigned URLs + presigned_url = upload_to_s3(file_to_upload, s3_key) + + return {"message": "Videos extracted and uploaded successfully.", "url": presigned_url} + + except RuntimeError as e: + # Return a descriptive error message if a known error occurs + return {"error": str(e)} + + except Exception as e: + # Catch unexpected errors + return {"error": f"An unexpected error occurred: {str(e)}"} + + finally: + # Cleanup temporary files + if os.path.exists(output_dir): + shutil.rmtree(output_dir) + if os.path.exists(file_path): + os.remove(file_path) + if os.path.exists(zip_path): + os.remove(zip_path) diff --git a/backend/docker-compose.prod.yml b/backend/docker-compose.prod.yml new file mode 100644 index 0000000..84213ad --- /dev/null +++ b/backend/docker-compose.prod.yml @@ -0,0 +1,41 @@ +services: + backend: + build: + context: . + dockerfile: Dockerfile + container_name: backend_prod + ports: + - "8000:8000" + depends_on: + - redis + volumes: + - ./app:/app + - shared_tmp:/shared_tmp + env_file: + - path: ".env" + required: true + restart: always + + redis: + image: redis:6.2 + container_name: redis_prod + ports: + - "6379:6379" + + celery_worker: + build: + context: . + dockerfile: Dockerfile.celery + container_name: celery_worker_prod + command: > + celery -A video_extractor.celery worker --loglevel=info -c 16 + volumes: + - shared_tmp:/shared_tmp + env_file: + - path: ".env" + required: true + depends_on: + - redis + +volumes: + shared_tmp: \ No newline at end of file diff --git a/backend/docker-compose.yml b/backend/docker-compose.yml index 7fb21b2..59f4323 100644 --- a/backend/docker-compose.yml +++ b/backend/docker-compose.yml @@ -1,5 +1,47 @@ -version: '3' - services: - unoserver: - image: libreofficedocker/libreoffice-unoserver:3.19-9c28c22 \ No newline at end of file + backend: + build: + context: . + dockerfile: Dev.Dockerfile + container_name: backend_dev + ports: + - "8000:8000" + depends_on: + - redis + volumes: + - ./app:/app + - shared_tmp:/shared_tmp + env_file: + - path: ".env" + required: true + restart: always + + redis: + image: redis:6.2 + container_name: redis_dev + ports: + - "6379:6379" + + celery_worker: + build: + context: . + dockerfile: Dev.Dockerfile.celery + container_name: celery_worker_dev + command: > + watchmedo auto-restart + -d . + -R + -p '*.py' + --debug-force-polling + -- celery -A video_extractor.celery worker --loglevel=info -c 16 + volumes: + - ./app:/app # For development you do want to share this volume to get notified when the app changes + - shared_tmp:/shared_tmp + env_file: + - path: ".env" + required: true + depends_on: + - redis + +volumes: + shared_tmp: \ No newline at end of file diff --git a/backend/makefile b/backend/makefile new file mode 100644 index 0000000..63f0867 --- /dev/null +++ b/backend/makefile @@ -0,0 +1,17 @@ +start: + docker compose -f docker-compose.yml up + +build: + docker compose -f docker-compose.yml up --build + +detach: + docker compose -f docker-compose.yml up --build -d + +down: + docker compose -f docker-compose.yml down + +prod: + docker compose -f docker-compose.prod.yml up --build + +prod-down: + docker compose -f docker-compose.prod.yml down \ No newline at end of file diff --git a/backend/requirements-dev.txt b/backend/requirements-dev.txt new file mode 100644 index 0000000..a105327 --- /dev/null +++ b/backend/requirements-dev.txt @@ -0,0 +1,2 @@ +# Development-specific requirements +watchdog[watchmedo]==6.0.0 diff --git a/backend/requirements.txt b/backend/requirements.txt new file mode 100644 index 0000000..74325be --- /dev/null +++ b/backend/requirements.txt @@ -0,0 +1,7 @@ +fastapi==0.115.5 +uvicorn==0.32.1 +boto3==1.35.73 +python-multipart==0.0.19 +celery==5.4.0 +redis==5.2.0 +aiofiles==24.1.0 diff --git a/frontend/.env.local.example b/frontend/.env.local.example new file mode 100644 index 0000000..4b9041b --- /dev/null +++ b/frontend/.env.local.example @@ -0,0 +1,2 @@ +NEXT_PUBLIC_BACKEND_URL=: + diff --git a/frontend/Dockerfile b/frontend/Dockerfile new file mode 100644 index 0000000..6101262 --- /dev/null +++ b/frontend/Dockerfile @@ -0,0 +1,17 @@ +# Use the Bun image as the base image +FROM oven/bun:latest + +# Set the working directory in the container +WORKDIR /app + +# Copy the current directory contents into the container at /app +COPY . . + +# Expose the port on which the API will listen +EXPOSE 3000 + +# install bun deps +RUN bun install + +# Run the server when the container launches +CMD ["bun", "run", "dev"] \ No newline at end of file diff --git a/frontend/README.md b/frontend/README.md index 0314c72..ecb8277 100644 --- a/frontend/README.md +++ b/frontend/README.md @@ -35,3 +35,20 @@ bun run dev ``` Open [http://localhost:3000](http://localhost:3000) with your browser. + +--- + +## Docker + +If you rather, you can choose to run the bun server on a docker container + +```bash +docker compose up --build +``` + + +#### Run in detach mode: + +```bash +docker compose up --build -d +``` \ No newline at end of file diff --git a/frontend/bun.lockb b/frontend/bun.lockb index 2f9561a..4797cda 100755 Binary files a/frontend/bun.lockb and b/frontend/bun.lockb differ diff --git a/frontend/docker-compose.yml b/frontend/docker-compose.yml new file mode 100644 index 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"react-dom": "18.2.0", "react-dropzone": "14.2.3", diff --git a/frontend/src/components/ChooseFileStep/index.tsx b/frontend/src/components/ChooseFileStep/index.tsx index 5f7ad26..edeefa7 100644 --- a/frontend/src/components/ChooseFileStep/index.tsx +++ b/frontend/src/components/ChooseFileStep/index.tsx @@ -1,12 +1,21 @@ -import { FC, useCallback } from 'react'; +import { FC } from 'react'; import { useDropzone } from 'react-dropzone'; import UploadIcon from '@/icons/UploadIcon'; type ChooseFileStepProps = { + onFileSelect: (file: File) => void; }; -export const ChooseFileStep: FC = () => { +export const ChooseFileStep: FC = ({ onFileSelect }) => { const { getRootProps, getInputProps } = useDropzone({ + accept: { + 'application/vnd.openxmlformats-officedocument.presentationml.presentation': ['.pptx'], + }, + onDrop: (acceptedFiles) => { + if (acceptedFiles.length > 0) { + onFileSelect(acceptedFiles[0]); + } + }, }); return ( @@ -22,7 +31,7 @@ export const ChooseFileStep: FC = () => {

- Drag and drop a PowerPoint file to convert to PDF. + Drag and drop a PowerPoint file to convert.

); }; -type CompressionSelectBoxProps = { +const Loader = () => ( +
+
+

Extracting the videos...

+
+); + +type ConversionSelectBoxProps = { checked?: boolean; value: string; description: string; }; -const SelectBox: FC = ({ +const ConversionSelectBox: FC = ({ checked = true, value, description, }) => ( -); - -const Loader = () => ( -
-
-

Compressing your file...

-
+