<h1 align="center">Primitive-Database (primitveDB)</h1>
<div align="center">
</div>
# About PrimitiveDB
Primitive-Database is a lightweight databasing library written in Python3. It uses CSV(Comma Separated Values) file(s) to store data, making it easy to perform simple and minimalistic tasks with great and stable performance.
<br></br>
# Using PrimitiveDB
<h2>Server</h2>
<h3>Creating a simple vertical database</h3>
```python
from primitiveDB.server import Server
Server.init.db(<CSV FILE>)
Server.init.id(<SPEICAL ID FOR THE SERVER>)
Server.init.columns(["Name", #Title for column 1
"Age", #Title for column 2
"Address"]) #Title for column 3
Server.init.auth(<AUTHENTICATION KEY>)
# IP PORT
Server.init.uri("0.0.0.0" , 8080) #Server IP is `http://localhost:8080` or `http://127.0.0.1:8080`
Server.run()
```
<br></br>
<h2>Client</h2>
<h3>Connecting to the database</h3>
```python
from primitiveDB.client import Client
DB = client.connect(<IP>)
DB.set_auth(<AUTHENTICATION KEY>)
```
<h3>Fetching data from the database</h3>
```python
from primitiveDB.client import Client
DB = client.connect(<IP>)
DB.set_auth(<AUTHENTICATION KEY>)
DB_data = DB.fetch() #returns a pandas.datafraem
print(DB_data)
```
<h3>Inserting data into the database</h3>
```python
from primitiveDB.client import Client
DB = client.connect(<IP>)
DB.set_auth(<AUTHENTICATION KEY>)
DB_data = DB.fetch()
DB_data["Name"] = ["Jack", # Adding `Jack` to first row into Names
"James"] # Adding `Jill` to second row into Names
DB_data["Age"] = [10, # Adding the age for `Jack`
07] # Adding the age for `James`
DB_data["Adress"] = ["123 NAME ST", # Adding the adress for `Jack`
"123 MAIN ST"] # Adding the adress for `James`
DB.insert(DB_data)
```
Github: https://github.com/FahimFerdous1/primitiveDB
Raw data
{
"_id": null,
"home_page": "",
"name": "primitiveDB",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "python,flask,pandas,database",
"author": "Fahim Ferdous (Capt.Pyrite)",
"author_email": "<liveviewer360@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/d7/d9/935149dc64ea0fad538ab6d1866c0bbb509b7ac61ceea03a6f8ba9b4c1cc/primitiveDB-0.0.2.tar.gz",
"platform": null,
"description": "\n<h1 align=\"center\">Primitive-Database (primitveDB)</h1>\n\n<div align=\"center\">\n\n \n \n</div>\n\n\n# About PrimitiveDB\nPrimitive-Database is a lightweight databasing library written in Python3. It uses CSV(Comma Separated Values) file(s) to store data, making it easy to perform simple and minimalistic tasks with great and stable performance.\n\n\n<br></br>\n\n# Using PrimitiveDB\n\n<h2>Server</h2>\n\n<h3>Creating a simple vertical database</h3>\n\n```python\nfrom primitiveDB.server import Server\n\nServer.init.db(<CSV FILE>)\nServer.init.id(<SPEICAL ID FOR THE SERVER>)\n\nServer.init.columns([\"Name\", #Title for column 1\n \"Age\", #Title for column 2\n \"Address\"]) #Title for column 3\n\n\nServer.init.auth(<AUTHENTICATION KEY>)\n\n# IP PORT\nServer.init.uri(\"0.0.0.0\" , 8080) #Server IP is `http://localhost:8080` or `http://127.0.0.1:8080`\n\nServer.run()\n```\n\n<br></br>\n\n<h2>Client</h2>\n<h3>Connecting to the database</h3>\n\n```python\nfrom primitiveDB.client import Client\n\nDB = client.connect(<IP>)\nDB.set_auth(<AUTHENTICATION KEY>)\n```\n\n<h3>Fetching data from the database</h3>\n\n```python\nfrom primitiveDB.client import Client\n\nDB = client.connect(<IP>)\nDB.set_auth(<AUTHENTICATION KEY>)\n\n\nDB_data = DB.fetch() #returns a pandas.datafraem\nprint(DB_data)\n```\n\n\n<h3>Inserting data into the database</h3>\n\n```python\nfrom primitiveDB.client import Client\n\nDB = client.connect(<IP>)\nDB.set_auth(<AUTHENTICATION KEY>)\n\n\nDB_data = DB.fetch()\n\n\nDB_data[\"Name\"] = [\"Jack\", # Adding `Jack` to first row into Names\n \"James\"] # Adding `Jill` to second row into Names\n\nDB_data[\"Age\"] = [10, # Adding the age for `Jack` \n 07] # Adding the age for `James`\n \nDB_data[\"Adress\"] = [\"123 NAME ST\", # Adding the adress for `Jack`\n \"123 MAIN ST\"] # Adding the adress for `James`\n\nDB.insert(DB_data)\n```\n\n\nGithub: https://github.com/FahimFerdous1/primitiveDB \n\n",
"bugtrack_url": null,
"license": "",
"summary": "An easy-to-use databasing library",
"version": "0.0.2",
"split_keywords": [
"python",
"flask",
"pandas",
"database"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "a80db60b543aeb2a81cedf86ee2e9744daa577bb722d14b45084fcf0b7fd711d",
"md5": "49af7b806864e4c24775fb433ba0f613",
"sha256": "213be870af45c796f84bfe642795f730047e442733d443de9acbd587bd363549"
},
"downloads": -1,
"filename": "primitiveDB-0.0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "49af7b806864e4c24775fb433ba0f613",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 12471,
"upload_time": "2023-01-03T23:16:38",
"upload_time_iso_8601": "2023-01-03T23:16:38.634537Z",
"url": "https://files.pythonhosted.org/packages/a8/0d/b60b543aeb2a81cedf86ee2e9744daa577bb722d14b45084fcf0b7fd711d/primitiveDB-0.0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "d7d9935149dc64ea0fad538ab6d1866c0bbb509b7ac61ceea03a6f8ba9b4c1cc",
"md5": "c217f3065d326206beb4645a96da72af",
"sha256": "b5bd5fb0d2d89ca3be372a9a879bb54a282bdcb69ece004c8b38952bf9f43d33"
},
"downloads": -1,
"filename": "primitiveDB-0.0.2.tar.gz",
"has_sig": false,
"md5_digest": "c217f3065d326206beb4645a96da72af",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 11206,
"upload_time": "2023-01-03T23:16:41",
"upload_time_iso_8601": "2023-01-03T23:16:41.217037Z",
"url": "https://files.pythonhosted.org/packages/d7/d9/935149dc64ea0fad538ab6d1866c0bbb509b7ac61ceea03a6f8ba9b4c1cc/primitiveDB-0.0.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-01-03 23:16:41",
"github": false,
"gitlab": false,
"bitbucket": false,
"lcname": "primitivedb"
}
JSON