This is a simple Flask API project that uses Redis caching and can be run in a Docker container. The API has the following endpoints:

• /getdata/<device_fk_id>: Returns the latest information for a given device ID, including device_fk_id, latitude, longitude, time_stamp, sts, and speed.
• /getlocation/<device_fk_id>: Returns the start location and end location for a given device ID as a tuple of (latitude, longitude).
• /getinfo: Takes in device ID, start time, and end time and returns all the location points as a list of latitude, longitude, and time stamp.

1. Clone the repository: git clone https://github.com/<username>/Flask-RedisCaching-in-Docker.git
2. Navigate to the project directory in your terminal.
3. Build the Docker image: docker build -t flask-api-with-caching.
4. Start the Docker containers: docker-compose.
5. Access the API endpoints at http://127.0.0.1:5000/

• Note Replace <username> with your GitHub username in step 1.

Returns the latest information for all device ID, including device_fk_id, latitude, longitude, time_stamp, sts, and speed.

Request URL: http://127.0.0.1:5000/alldata

Request Method: GET

URL Params:

• None

Response:

[{ "device_fk_id": "<device_fk_id>", "latitude": "<latitude>", "longitude": "<longitude>", "time_stamp": "<time_stamp>", "sts": "<sts>", "speed": "<speed>" }, { "device_fk_id": "<device_fk_id>", "latitude": "<latitude>", "longitude": "<longitude>", "time_stamp": "<time_stamp>", "sts": "<sts>", "speed": "<speed>" } ... ] 

Returns the latest information for a given device ID, including device_fk_id, latitude, longitude, time_stamp, sts, and speed.

Request URL: http://127.0.0.1:5000/getdata/<device_fk_id>

Request Method: GET

URL Params:

• device_fk_id (required): The device ID for which you want to retrieve information.

Response:

{ "device_fk_id": "<device_fk_id>", "latitude": "<latitude>", "longitude": "<longitude>", "time_stamp": "<time_stamp>", "sts": "<sts>", "speed": "<speed>" } 

Returns the start location and end location for a given device ID as a tuple of (latitude, longitude).

Request URL: http://127.0.0.1:5000/getlocation/<device_fk_id>

Request Method: GET

URL Params:

• device_fk_id (required): The device ID for which you want to retrieve location information.

Response:

{ "start_location": [ "<latitude>", "<longitude>" ], "end_location": [ "<latitude>", "<longitude>" ] } 

Takes in device ID, start time, and end time and returns all the location points as a list of latitude, longitude, and time stamp.

Request URL: http://127.0.0.1:5000/getinfo

Request Method: GET

URL Params:

• deviceId (required): The device ID for which you want to retrieve location information.
• starttime (optional): The start time for the location points (format: %Y-%m-%dT%H:%M:%SZ).
• endtime (optional): The end time for the location points (format: %Y-%m-%dT%H:%M:%SZ).

Response:

[ { "latitude": "<latitude>", "longitude": "<longitude>", "time_stamp": "<time_stamp>" }, { "latitude": "<latitude>", "longitude": "<longitude>", "time_stamp": "<time_stamp>" }, ... ] 

• Flask
• Flask-Caching
• Redis
• SQLAlchemy

Flask-RedisCaching-in-Docker ├── app/ │ ├── init.py │ ├── getData.py │ ├── getInfo.py │ ├── location.py │ └── allData.py ├── utils/ │ └── raw_data.csv ├── .gitignore ├── data.py ├── constant.py ├── Dockerfile ├── docker-compose.yml └── model.py 

• app/: Contains the Flask application code.
  • __init__.py: Initializes the Flask app and registers the routes.
  • getData.py: Contains the code for the /getdata/<device_fk_id> endpoint.
  • getInfo.py: Contains the code for the /getinfo endpoint.
  • location.py: Contains the code for the /getlocation/<device_fk_id> endpoint.
  • allData.py: Contains the code for the /alldata endpoint.
• utils/: Contains the raw data in raw_data.csv file.
• .gitignore: Specifies files that should be ignored by Git.
• data.py: Contains functions for retrieving data.
• constant.py: Contains constant values used throughout the application.
• Dockerfile: Contains instructions for building the Docker image.
• docker-compose.yml: Contains instructions for running the Docker container.
• model.py: Contains the data model for the application.

The application uses Redis as the caching layer, with a caching timeout of 120 seconds.