FastAPI_Geospatial_Heatmap

Install FastAPI Virtual Enviroment on the application directory to get the packages:

python -m venv fastapienv To Activate- fastapienv\Scripts\activate.bat

##Docker Contianerization: 1.Install Docker Desktop 2. To Build Docker Type: >> docker build -t geospatial-heatmap-api . 3. To run: >> docker run -d --name your-new-container-name -p 8080:80 your-image-name Note: I containerization the whole application without Authentication due to the "Server Creditials Requirements"

##Login Page:

1. Run in powershall:>> uvicorn Authentication:app --reload
   • In browser address bar type after run uvicorn: http://127.0.0.1:8000/auth/
2. I did the authetication using Microsoft SSO integration with my application actiove directory using "python-ldap3" - Adding pip python-ldap3 (Not working)

Reading Data from API:

1. Run in powershall:>> uvicorn parametersReading_API:app --reload
2. In browser address bar type after run uvicorn: >> http://127.0.0.1:8000/docs - Will open SWAGGER UI as Servere to check the api data

##Geospatial Heatmap Vosualization:

1. Run in powershall:>> uvicorn heatmapVisualization:app --reload

• In browser address bar type after run uvicorn: http://127.0.0.1:8000/heatmap/tempreture/

2. press Next button to move to another geospatial heatmap( pressure & steam Injection)

Implementation of Temprol Correlation to Allow user to navigete through historical data:

Run in powershall:>> uvicorn updateParameters:app --reload

• In browser address bar type after run uvicorn: http://127.0.0.1:8000/update/temporal_correlation
• In browser address bar type after run uvicorn for updating data in API based on Site_ID: http://127.0.0.1:8000/update/parameters/type ID

Packages Need to Install:

1. pip install starlette
2. pip install fastapi
3. pip install pydantic
4. pip install datetime
5. pip install python-jose
6. pip install jwt
7. pip install python-ldap3
8. pip install pandas
9. pip install seaborn
10. pip install geopy
11. pip install folium