> For the complete documentation index, see [llms.txt](https://docs.openg2p.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.openg2p.org/1.3/spar/development/developer-install/spar-mapper-api.md).

# SPAR Mapper API

## Installation

### Prerequisites

* Any machine running Linux (e.g., Ubuntu), macOS, or Windows
* Python3.10 or later
* Git
* PostgreSQL
* virtualenv

#### Python Dependencies

The following dependencies are managed in the installation steps below.

```sh
annotated-types==0.6.0
anyio==3.7.1
asyncio==3.4.3
asyncpg==0.28.0
certifi==2024.2.2
cffi==1.16.0
click==8.1.7
coverage==7.5.1
cryptography==41.0.7
ecdsa==0.19.0
fastapi==0.103.2
greenlet==3.0.3
h11==0.14.0
hiredis==2.2.3
httpcore==1.0.5
httptools==0.6.1
httpx==0.27.0
idna==3.7
iniconfig==2.0.0
Jinja2==3.1.4
json-logging==1.3.0
MarkupSafe==2.1.5
openg2p-g2pconnect-common-lib==1.0.0
openg2p-g2pconnect-mapper-lib==1.0.0
-e git+https://github.com/OpenG2P/openg2p-spar-mapper-api.git@00a3f5c3281c9ad113fb939c9c653775f3394546#egg=openg2p_spar_mapper_api
openg2p_fastapi_common==1.0.0
orjson==3.9.15
packaging==24.0
parse==1.20.1
pluggy==1.5.0
psycopg2==2.9.9
pyasn1==0.6.0
pycparser==2.22
pydantic==2.7.1
pydantic-extra-types==2.0.0
pydantic-settings==2.0.3
pydantic_core==2.18.2
pytest==8.2.0
pytest-asyncio==0.23.6
pytest-cov==5.0.0
python-dotenv==1.0.1
python-jose==3.3.0
python-multipart==0.0.9
PyYAML==6.0.1
redis==5.0.4
rsa==4.9
six==1.16.0
sniffio==1.3.1
SQLAlchemy==2.0.30
starlette==0.27.0
typing_extensions==4.11.0
uvicorn==0.29.0
uvloop==0.19.0
watchfiles==0.21.0
websockets==12.0
```

### Steps to install

* Clone the repository

```sh
git clone https://github.com/OpenG2P/openg2p-spar-mapper-api.git
```

* Navigate to the project root

```sh
cd openg2p-spar-mapper-api
```

* Create a virtual environment with Python 3

```sh
virtualenv venv --python=python3
```

* Activate the virtual environment

```sh
source venv/bin/activate
```

* Install the necessary dependencies

```sh
pip install -r test-requirements.txt &&
pip install greenlet && 
pip install -e .
```

* Configure database credentials and other environment variables in the \`.env\` file
  * [See Configuration section below](#configuration)
* Run migrations to set up the database:

```sh
python main.py migrate
```

### Quick start

* Start the development server

```sh
python main.py run
```

* Access Swagger API Documentation
  * <http://localhost:8007/docs>

### Configuration

#### Environment Variables

Set the following environment variables to configure the \`spar-mapper-api\`:

```xml
# Application Port
SPAR_MAPPER_PORT='8007' 

# Database credentials
SPAR_MAPPER_DB_HOSTNAME='localhost'
SPAR_MAPPER_DB_USERNAME='sparuser'
SPAR_MAPPER_DB_DBNAME='spardb'
```

### Testing

To run unit tests with `pytest`:

```sh
pytest -s
```

### Contributing

Contribution guidelines are available [here](https://github.com/OpenG2P/openg2p-spar-mapper-api/blob/develop/CONTRIBUTING.md).


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.openg2p.org/1.3/spar/development/developer-install/spar-mapper-api.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
