Metadata-Version: 2.1
Name: sphoin
Version: 2.0.9
Summary: Connect to sphoin.app Pro Slots
Home-page: https://github.com/Parsecom/sphoin
Author: P.O.M.
Author-email: office@parsecom.ro
License: MIT license
Keywords: sphoin
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE



# <img  src="https://api.sphoin.app/logo"  alt="drawing"  width="100"/>

[![PyPI](https://img.shields.io/pypi/v/sphoin.svg)](https://pypi.org/project/sphoin/) [![PyPI](https://img.shields.io/pypi/pyversions/sphoin.svg)](https://img.shields.io/pypi/pyversions/sphoin.svg)

Connect to [sphoin.app](https://www.sphoin.app) Pro Slots.

<img  src="https://firebasestorage.googleapis.com/v0/b/sphoin-545ba.appspot.com/o/tui.png?alt=media&token=99083efe-74eb-4418-b7f9-abdca46d573f"  alt="drawing" width="100%" />

# Installation

## Stable release
To install sphoin, run this command in your terminal:

```
pip install sphoin
```

This is the preferred method to install sphoin, as it will always install the most recent stable release.

## From sources

The sources for sphoin can be downloaded from the `Github repo`.
* clone the public repository
```
git clone https://github.com/Parsecom/sphoin
```
* install from source
```
python setup.py install
```

## Docker
```
docker pull pom11/sphoin
```

## `.yaml` config file
```yaml
---
uid: 111YOURUID111
api-key: 111YOURAPIKEY111
api-secret: 111YOURSECRET111
layout:
  - line
  - time
  - signals
  - studies
  - footer
  
```

In `layout` specifies what `Plot`s should be displayed

* `line` - Price graph
* `time` - Time bar
* `signals` - Signals sum graph
* `studies` - Studies bars
* `footer` - Footer with Slot details

# Usage

## TUI key bindings

* h - Help sidebar
* r - Refresh Slot data
* t - Toggle theme
* s - Signals theme
* b - Toggle brightness
* q - Quit

## CLI
```
sphoin --help
```
View example
```
sphoin --example
```
Load config file
```
sphoin --config config.yaml
```
Print Plot test
```
sphoin --plot
sphoin.plot
```

## Docker
Pull image from docker hub
```shell
docker pull pom11/sphoin
```
To run sphoin TUI with `config` file in docker you need to mount local directory to `/usr/src/app`
```shell
docker run -v ${PWD}/config.yaml:/usr/src/app/config.yaml -it pom11/sphoin -c config.yaml
``` 


## Python

Import package
```python
from sphoin.app import Slot
```
### Slot from keys
```python
my_slot = Slot.from_keys(uid="111YOURUID111",
      api_key="111YOURAPIKEY111",
      api_secret="111YOURSECRET111")
```
### Slot from config file
```python
my_slot = Slot.from_config(file="/absolute/path/of/config.yaml")
```
### Slot from dict
Obtain dict from `https://api.sphoin.app/api/v1/data/json` endpoint
```python
import requests

url = "https://api.sphoin.app/api/v1/data/json"

payload = "{\n    \"uid\": \"111YOURUID111\",\n    \"api-key\": \"111YOURAPIKEY111\",\n    \"api-secret\": \"111YOURSECRET111\"\n}"
headers = {
  'X-sphoin.app': 'LIadeCyi15FAwoRBkiu9fJsYPvWecSxb'
}

response = requests.request("POST", url, headers=headers, data=payload)

json = response.json()
```
Init Slot from obtained result
```python
my_slot = Slot.from_dict(data=json)
```
### Inspect Slot
```python
from rich import print
from rich import inspect

print(my_slot.json)
# insepct slot attributes
print(my_slot.__doc__)
print(inspect(my_slot,all=True))
```
