Comments (3)
Hey @LilyRose2798 👋
Thanks for creating this issues and bringing this to my attention.
It currently looks to be impossible to implement your own argument parser when using Robyn, as just importing the robyn module creates its own ArgumentParser
Let me dive a bit deeper and come back with an approach to tackle this.
from robyn.
Hey @LilyRose2798 👋
Thanks for creating this issues and bringing this to my attention.
It currently looks to be impossible to implement your own argument parser when using Robyn, as just importing the robyn module creates its own ArgumentParser
Let me dive a bit deeper and come back with an approach to tackle this.
IMO, The one way we can tackle this is to rewrite Robyn whole CLI api, where we expose the functions like workers
, debug
etc. to the Robyn()
class and the seprate logic for CLI. Something similar to uvicorn or flask
from robyn.
A way around the issue I found that isn't ideal is to move the Robyn import to after I've declared my own ArgumentParser
:
from argparse import ArgumentParser, Namespace
parser = ArgumentParser("myapi")
parser.add_argument("-a", "--address", default = "127.0.0.1", help = "the address to use for the api (default: %(default)s)")
parser.add_argument("-p", "--port", default = 8000, type = int, help = "the port to use for the api (default: %(default)s)")
parser.add_argument("-l", "--limit", default = 3600, type = int, help = "the number of requests per hour to limit usage of the api to (default: %(default)s)")
parser.add_argument("--processes", default = 1, type = int, help = "the number of processes to use for the api (default: %(default)s)")
parser.add_argument("--workers", default = 1, type = int, help = "the number of workers to use for the api (default: %(default)s)")
parser.add_argument("--log-level", default = "INFO", help = "the log level use for the api (default: %(default)s)")
args = parser.parse_args()
from robyn import Robyn
app = Robyn(__file__, Namespace(**{
"processes": args.processes,
"workers": args.workers,
"dev": False,
"create": False,
"docs": False,
"open_browser": False,
"version": False,
"compile_rust_path": None,
"create_rust_file": None,
"log_level": args.log_level,
}))
# API routes declared here...
app.start(host = args.address, port = args.port)
from robyn.
Related Issues (20)
- Add support for form data built in! HOT 1
- API docs are too story oriented.
- query_params.get("param_name") requires a default value HOT 1
- dict returns should be implicitly casted to json
- add docs for different styles of returning response objects HOT 2
- jsonify errors with some json payloads
- Websocket close method feature HOT 1
- Before middlewares are having issues with multipart file upload
- headers.get('key') errors out without a default key
- Add a request.method in the Request struct
- Response is not automatically casted when returned in before_middleware
- add docs for all the robyn env variables
- document the redirection issue
- remove codesee files
- document *extra path params
- Incorrect Data Types in JSON Serialization from Python Client to Server HOT 1
- On Mac, ctrl+c to quit the app raises alert HOT 4
- Trailing slashes leads to 404 HOT 1
- Fastapi To Robyn HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from robyn.