Update installation requirements

Dockerfile

@@ -41,7 +41,10 @@ RUN apt-get update \
 
 COPY --from=builder /root/.local /home/appuser/.local
 COPY README.md .
-COPY config.txt.sample ./config.txt
+
+# Enable this if you are using config.txt
+# COPY config.txt ./config.txt
+
 COPY setup.py .
 COPY API/ ./API/
 COPY src/ ./src/

docs/src/installation/configurations.md

@@ -1,6 +1,10 @@
 
 # Configuring the API service
 
+Raw Data API can be setup using two configuration options. You can choose based on your convienience 
+- *config.txt* : You can follow  `config.txt.sample` in dir and documentation below to set your configurations 
+- *.env* : Another option is from OS Environment variable , You can export all your env variables ( They are same as you put in config without blocks ) and pass it to API , API will pick it up automatically.
+
 ## What you need to start?
 
 - A working [Postgres](https://www.postgresql.org/) instance with [Postgis](https://postgis.net/) module enabled.

docs/src/installation/docker.md

@@ -1,24 +1,33 @@
 ## Initial Setup
 
-- Clone the repository, and change directory to _export-tool-api_ folder on your computer.
+### Clone 
+
+- Clone the repository, and change directory to _raw-data-api_ folder on your computer.
 
 ```
-git clone https://github.com/hotosm/export-tool-api.git
-cd export-tool-api
+git clone https://github.com/hotosm/raw-data-api.git
+cd raw-data-api
 ```
 
 ## Configurations
 
+### config.txt approach
 - Create `config.txt` inside / folder. You can use any of the appropriate commands below or you use your familiar methods in your code editor/file explorer.
 
 ```
 touch config.txt #Linux
 wsl touch config.txt #Windows with WSL
 echo >> config.txt #Windows without WSL
 ```
+#### .env approach 
+
+if you prefer configurations as env variables you can put them in `.env` and pass it to dockerfile or export them 
 
 - Database configuration:
   - To use the default database(with sample data) shipped with the `Dockerfile`, you can update the `config.txt` with the configurations below. [**Recommended**]
+
+  - Make sure you uncomment ```COPY config.txt ./config.txt``` line in Dockerfile while using `config.txt`
+
   - To use a local postgres (with postgis enabled) database, you can follow the instruction on how to set it up with raw data [here](./configurations.md). or export them as system env variables
 
 ```
@@ -42,12 +51,41 @@ CELERY_RESULT_BACKEND=redis://redis:6379/0
   - Follow this step to setup OSM OAuth: [Setup Oauth Block](./configurations.md#Setup-Oauth-for-Authentication).
   - Update your `config.txt` with the `[OAUTH]` block from the step above.
 
-## Create the Docker images and spin up the containers
+
+## Run Docker 
+
+You can either use full composed docker-compose directly or you can build docker containers manually . 
+
+### Spin up the containers using docker compose
 
 ```
 docker-compose up -d --build
 ```
 
+OR 
+
+### Run Docker without docker compose 
+
+- Build your image 
+```
+docker build -t rawdataapi:latest . 
+```
+- Run API 
+```
+docker run -d -p 8000:8000 --name rawdatapi rawdataapi:latest
+```
+Run container with `.env` file 
+
+```
+docker run --env-file ./.env -d -p 8000:8000 --name rawdatapi rawdataapi:latest
+```
+
+- Run Workers 
+```
+docker run -it rawdataapi:latest celery --app API.api_worker worker --loglevel=INFO --queues="raw_ondemand" -n 'default_worker'
+```
+Followi similar for flower
+
 ## Check the servers
 
 By default, Uvicorn would be running on port [8000](http://127.0.0.1:8000/v1/docs), Redis on default port(i.e 6379), Celery with a worker and Flower on port [5000](http://127.0.0.1:5000/).

requirements.txt

@@ -35,18 +35,17 @@ geomet==1.1.0
 # flower
 flower==2.0.1
 
-##sozipfile
-sozipfile==0.3.2
-
 ##duckdb
 duckdb==0.9.2
 
 ##hdx
 hdx-python-api==6.2.0
 
-## only needed if used postgres as celery backend 
+## only needed if postgres is used as celery backend 
 SQLAlchemy==2.0.25
 
-
+##sozipfile
+sozipfile==0.3.2
+## zip memory optimization
 zipfly==6.0.5
 psutil==5.9.8