semvec/pypi-packages huggingface dataset:
mansai 0.1.10
Prank package for SAI circle in Sejong University
Requires Python: >=3.8

# ManSAI

## Install

### From wheel

```bash
pip install 
```

### From source

```bash
python3 -m pip install flit
python3 -m flit build
```

## Publish

### Publish sdist

```bash
python3 -m flit publish
```
bgdiscovery 0.9.40
biGENIUS Discovery App.

# BiGenius Discovery App

The BGD application is used to create discovery data for BG X. It is a Python module that automatically installs the necessary python packages. 

As a parameter, you need to specify a source file with the necessary attributes defined, and the output will be a BGX-compatible discovery file. 

## Normal installation

To install, run the following command:

    pip install --upgrade bgdiscovery

## Pre-release installation

To install a pre-release version, use the following command with the corresponding version:

    pip install --upgrade bgdiscovery==0.9.4

## Usage

```bash
bgdiscovery -f sample_source_file.yaml
```
## Sources

The following sources are supported:

### CSV

Example source yaml file:

```yaml
source:
  type: s3
  config:
    path_specs:
      -
        include: "sample.csv"
sink:
  type: file
  config:
    filename: ./csv_discovery_output.json
```

### Parquet

Example source yaml file:

```yaml
source:
  type: s3
  config:
    path_specs:
      -
        include: "/tmp/parquet_folder/"
sink:
  type: file
  config:
    filename: ./parquet_discovery_output.json
```

### Microsoft SQL Server

Example source yaml file with secure connection over ODBC:
```yaml
source:
  type: mssql
  config:
    # Coordinates
    host_port: hostname:1433
    database: f1
    # Credentials
    username: sa
    password: Password
    use_odbc: "True"
    uri_args:
      driver: "ODBC Driver 17 for SQL Server"
      Encrypt: "yes"
      TrustServerCertificate: "yes"
      ssl: "True"
sink:
  type: file
  config:
    filename: ./mssql_f1_output.json
```

Example source yaml file without secure connection:
```yaml
source:
  type: mssql
  config:
    # Coordinates
    host_port: hostname:1433
    database: f1
    # Credentials
    username: sa
    password: Password
sink:
  type: file
  config:
    filename: ./mssql_f1_output.json
```

### Parquet

Example source yaml file:

```yaml
source:
  type: s3
  config:
    path_specs:
      -
        include: "/tmp/parquet_folder/"
sink:
  type: file
  config:
    filename: ./parquet_discovery_output.json
```