| Name | rtex JSON |
| Version |
0.0.3
JSON |
| download |
| home_page | |
| Summary | *Unofficial* client for the Rtex API server |
| upload_time | 2023-11-19 03:29:22 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.11 |
| license | MIT |
| keywords |
rtex
latex
math
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Async Python Client to The RTEX API Server
## Installation
```bash
pip install rtex
```
## Usage
The API surface of Rtex is spartan so this is basically the whole thing.
```python
import asyncio
from rtex.client import AsyncRtexClient
async def amain():
async with AsyncRtexClient() as rtex:
res = rtex.create_render("\(x^2 + x - 1\)")
if res.status == "success":
with open("equation.png") as output_fd:
await res.save_render(
res.filename,
output_fd
)
def main():
asyncio.run(amain())
if __name__ == "__main__":
main()
```
## No Thoughts, Just Render
```python
async def amain():
async with AsyncRtexClient() as rtex:
buf = await rtex.render_math("e^x + 1")
# `buf` now contains the bytes of the PNG
```
## Do I look like I know what a Jay-Peg is?
```python
async def amain():
async with AsyncRtexClient() as rtex:
# The render methods accept a format parameter.
# Supported values are "png", "jpg" and "pdf"
buf = await rtex.render_math("e^x + 1", format="jpg")
```
## Self-Hoster
Set the environment variable `RTEX_API_HOST` or do the following.
```python
async def amain():
async with AsyncRtexClient(api_host="https://myserver.ru") as rtex:
buf = await rtex.render_math("e^x + 1")
```
## I Can Tell By The Pixels
`quality` in Rtex speak is an abstract notion of compression for the given
format where `100` is the least compressed and `0` is the most. At the time of
writing the default is `85`.
`density` in Rtex speak is how much to sample the rendered PDF when generating
an image. This has no effect on the `"pdf"` format. At the time of writing the
default is `200`.
```python
async def amain():
async with AsyncRtexClient(api_host="https://myserver.ru") as rtex:
needs_more_jpeg = await rtex.render_math(
"e^x + 1",
density=50,
quality=1
)
```
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