semvec/pypi-packages huggingface dataset:
heybooster 0.0.8
Heybooster Toolkit
Requires Python: >=3.6

### Heybooster MongoDB Helper


**Installation:**
```shell
pip3 install heybooster_toolkit
```

---

**Example:**
```python
from heybooster.helpers.database.mongodb import MongoDBHelper


NAME = "database_name"
URI = "database_uri"

with MongoDBHelper(uri=URI, database=NAME) as db:
    result = db.find_one('test_collection', query={'email': 'test@email.com'})
    result = db.find('test_collection', query={'email': 'test@email.com'})
    db.insert('test_collection', query={'email': 'test@email.com'})
    db.insert('test_collection', query={'email': 'test@email.com'})
    db.find_and_modify('test_collection', query={'email': 'test@email.com'}, update={"$set": 'test2@gmail.com'})

```

or

```python
from heybooster.helpers.database.mongodb import MongoDBHelper


NAME = "database_name"
URI = "database_uri"

db = MongoDBHelper(uri=URI, database=NAME)
result = db.find_one('test_collection', query={'email': 'test@email.com'})

db.close()
print(result)
```
tqatest 0.0.33
Backend module for testing project
Requires Python: >=3.7,<4.0

# backend-module

Main backend module, which is used for developing web-app logic and deploying AI model.

## Installation
Run the following to install:
```python
pip install tqatest
```

## Usage
```python
from tqatest.app.services.predict import MachineLearningModel

# Generate model
model = MachineLearningModel()

# Using Example
data_input = [1.0, 2.0, 3.0, 4.0]
result = model.predict(data_input)
print(result)
```

## Developing HelloG
To install helloG, along with the tools you need to develop and run tests, run the following in your virtualenv:
```bash
$ pip install tqatest[dev]
```