Docker compose and README

.env

@@ -0,0 +1,10 @@
+# Add anything that might need to be configured here
+
+COMPOSE_PROJECT_NAME=AIC_G4T2
+
+# Externally exposed ports (i.e. ports mapped on host system)
+MONGO_DB_PORT=27017
+FRONTEND_PORT=8080
+
+
+DATA_PATH= /aic/g2/

Makefile

@@ -0,0 +1,15 @@
+# If you want you can use this Makefile to specify debug commands, test scripts, etc.
+
+# Some examples below
+
+start:
+	docker-compose build && docker-compose up -d
+
+restart:
+	docker-compose restart
+
+build:
+	docker-compose build
+
+purge:
+	docker-compose down -v --rmi all --remove-orphans

README.md

@@ -1,4 +1,57 @@
 # AIC Federated Storage Project
 
-* Start both middleware AND frontend dev server simultaneously
+## Teammembers
-* See README of subfolder for further information
+
++ Tobias Eidelpes (01527193)
++ Manuel Hude (01502712)
++ Martin Schett (01633073)
++ Martin Weick (01627760 )
++ Marco Zeisler (0162830) 
+
+
+## Who worked on what?
+
++ Tobias Eidelpes - Update Functionality, Docker Deployment, AWS Config, Presentation 2
++ Manuel Hude - Mongo DB CRD, Parts IoT Client, Docker Deployment, Presentation 1
++ Martin Schett - IoT Client, Recovery Logic, AWS Config, Presentation 1
++ Martin Weick - AWS Service, IoT Client Simulation, Presentation 2
++ Marco Zeisler - Hashing, User Frontend, Presentation 2
+
+## How to start the program
+
+* In the project root run: `docker-compose up -d`
+* Go to `http://localhost:8080` for the frontend
+* Run `docker ps` to see the container ID of the image aic_g4t2_iot_client
+* Enter `docker exec -it <ContainerID> /bin/bash` to enter the shell of the iot_client
+* Get a usage message by entering `help`
+
+
+## Technologies used
+
+* Python 3.8.6 with Django for the backend
+* Angular 9 for the frontend
+* Dropbox API for an image storage
+* AWS S3 as an object storage
+* MongoDB as a metadata storage
+
+## Detailed description of a usecase
+
+Follow: [How to start the program](#How-to-start-the-program) to setup the program. To simulate that a device sent some 
+picture enter `trigger` into the iot_client. You can now see the pictures distributed over the 
+different storages. Write `set 0` to position the cursor to the first image sent. Issue `update` to update the image. 
+The new image shows up in the dashboand and a new version in the corresponding storages is created. Navigate  to the Map 
+in the frontend to see a location marker where the image was taken.
+
+
+## Credentials for AWS and Dropbox
+
+### AWS
+* Login URL: https://www.awseducate.com/student/s/
+* Mail: e1633073@student.tuwien.ac.at
+* Passwort: OH2uMfNTwlOYBB364zqf!
+* Bucket: https://s3.console.aws.amazon.com/s3/buckets/aic-fun-bucket-2020?region=us-east-1&tab=objects
+
+### Dropbox
+
+* Username: e01633073@student.tuwien.ac.at
+* Password: aicdropboxpassword

docker-compose.yml

@@ -0,0 +1,51 @@
+version: "3"
+
+services:
+
+  mongo_db:
+    image: mongo
+    restart: always
+    container_name: mongodb
+    volumes:
+      - db-data:/data/db
+    ports:
+      - 27017:27017
+
+
+  middleware:
+    container_name: middleware
+    build:
+      context: ./middleware
+      dockerfile: ./Dockerfile
+    command: python manage.py runserver 0.0.0.0:8000
+    ports:
+    - 8000:8000
+    depends_on:
+      - mongo_db
+
+
+  frontend:
+    container_name: frontend
+    build:
+      context: ./frontend
+      dockerfile: ./Dockerfile
+    ports:
+      - 8080:80
+    depends_on:
+      - mongo_db
+
+  iot_client:
+    container_name: iot_client
+    build:
+      context: ./iotclient
+      dockerfile: ./Dockerfile
+    depends_on:
+      - frontend
+      - middleware
+    stdin_open: true # docker run -i
+    tty: true        # docker run -t
+    volumes:
+      - /aic/g2:/code/images_real
+
+volumes: 
+  db-data:  # db-data is a volume that will be generated by docker compose

iotclient/Dockerfile

@@ -0,0 +1,16 @@
+FROM python:3.8-slim
+ENV PYTHONUNBUFFERED 1
+
+
+RUN python -m venv /opt/venv
+ENV PATH="/opt/venv/bin:$PATH"
+
+RUN python -m pip install --upgrade pip
+ENV PATH="/opt/venv/bin:$PATH"
+
+RUN mkdir /code
+WORKDIR /code
+COPY requirements.txt /code/
+RUN pip install -r requirements.txt
+
+COPY . /code/

iotclient/iot_client.py

@@ -36,7 +36,7 @@ def send_image(identifier, image_path, metadata_payload):
         return False
 
     file_payload = file_encoded_b64.decode('utf-8')
-    baseurl = "http://127.0.0.1:8000"
+    baseurl = "http://middleware:8000"
     post_url = "/image/post"
     body = build_post_payload(identifier, metadata_payload, file_payload)
 

iotclient/requirements.txt

@@ -0,0 +1 @@
+requests

middleware/Dockerfile

@@ -17,3 +17,5 @@ COPY requirements.txt /code/
 RUN pip install -r requirements.txt
 
 COPY . /code/
+
+EXPOSE 8000

middleware/app_be/views/mongo_db.py

@@ -14,7 +14,8 @@ class MongoManager:
         if MongoManager.__instance != None:
             raise Exception("This class is a singleton!")
         else:
-            MongoManager.__instance = pymongo.MongoClient('127.0.0.1', port=27017, serverSelectionTimeoutMS=1000)
+            print("TEST IM MANAGER")
+            MongoManager.__instance = pymongo.MongoClient('mongodb://mongo_db', port=27017)
             db = MongoManager.__instance.AIC
             coll = db.metadata
             db.coll["identifier"]