PersonalPublic/fastapi-sqlalchemy-asyncpg
1
0
Fork 0
mirror of https://github.com/grillazz/fastapi-sqlalchemy-asyncpg.git synced 2025-08-26 16:40:40 +03:00
Code Issues Packages Projects Releases Wiki Activity

wip: docs

Browse Source
This commit is contained in:
Jakub Miazek 2024-02-17 12:21:55 +01:00
parent 45e1c3d5a8
commit e65b57e7ad
2 changed files with 11 additions and 15 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

24
README.md
View File

@ -27,23 +27,18 @@
<li><a href="#rainbow-logs-with-rich">Rainbow logs with rich</a></li> <li><a href="#rainbow-logs-with-rich">Rainbow logs with rich</a></li>
<li><a href="#setup-user-auth">Setup user auth</a></li> <li><a href="#setup-user-auth">Setup user auth</a></li>
<li><a href="#local-development-with-poetry">Local development with poetry</a></li> <li><a href="#local-development-with-poetry">Local development with poetry</a></li>
<li><a href=""></a>Import xlsx files with polars and calamine</li> <li><a href="#import-xlsx-files-with-polars-and-calamine">Import xlsx files with polars and calamine</a></li>
</ul> </ul>
</li> </li>
[//]: # ( <li><a href="#usage">Usage</a></li>)
[//]: # ( <li><a href="#roadmap">Roadmap</a></li>)
[//]: # ( <li><a href="#contributing">Contributing</a></li>)
[//]: # ( <li><a href="#license">License</a></li>)
[//]: # ( <li><a href="#contact">Contact</a></li>)
<li><a href="#acknowledgments">Acknowledgments</a></li> <li><a href="#acknowledgments">Acknowledgments</a></li>
</ol> </ol>
</details> </details>
[//]: # (TODO: Usage,Roadmap, Contributing, License, Contact)
## About The Project ## About The Project
@ -135,9 +130,11 @@ Hope you enjoy it.
### Import xlsx files with polars and calamine ### Import xlsx files with polars and calamine
Power of Polars Library in data manipulation and analysis. Power of Polars Library in data manipulation and analysis.
It uses the polars library to read the Excel data into a DataFrame by passing the bytes to the `pl.read_excel()` function -
https://docs.pola.rs/py-polars/html/reference/api/polars.read_excel.html https://docs.pola.rs/py-polars/html/reference/api/polars.read_excel.html
In `pl.read_excel()` “calamine” engine can be used for reading all major types of Excel Workbook (.xlsx, .xlsb, .xls) and is dramatically faster than the other options, using the fastexcel module to bind calamine.
<p align="right">(<a href="#readme-top">back to top</a>)</p>
## Acknowledgments ## Acknowledgments
Use this space to list resources you find helpful and would like to give credit to. Use this space to list resources you find helpful and would like to give credit to.
@ -164,7 +161,8 @@ I've included a few of my favorites to kick things off!
- **[JUL 25 2023]** add user authentication with JWT and Redis as token storage :lock: :key: - **[JUL 25 2023]** add user authentication with JWT and Redis as token storage :lock: :key:
- **[SEP 2 2023]** add passlib and bcrypt for password hashing :lock: :key: - **[SEP 2 2023]** add passlib and bcrypt for password hashing :lock: :key:
- **[OCT 21 2023]** refactor shakespeare models to use sqlalchemy 2.0 :fast_forward: - **[OCT 21 2023]** refactor shakespeare models to use sqlalchemy 2.0 :fast_forward:
- **[FEB 1 2024]** bum project to Python 3.12 :fast_forward: - **[FEB 1 2024]** bump project to Python 3.12 :fast_forward:
- **[MAR 15 2024]** add polars and calamine to project :features:
<p align="right">(<a href="#readme-top">back to top</a>)</p> <p align="right">(<a href="#readme-top">back to top</a>)</p>

2
app/api/nonsense.py
View File

@ -75,8 +75,6 @@ async def import_nonsense(
HTTPException: If an error occurs during the process (either a SQLAlchemy error or an HTTP exception), HTTPException: If an error occurs during the process (either a SQLAlchemy error or an HTTP exception),
the function rolls back the session and raises an HTTP exception with a 422 status code. the function rolls back the session and raises an HTTP exception with a 422 status code.
""" """
try: try:
# Read the uploaded file into bytes # Read the uploaded file into bytes
file_bytes = await xlsx.read() file_bytes = await xlsx.read()