| Name | trixellookupclient JSON |
| Version |
0.2.0
JSON |
| download |
| home_page | None |
| Summary | A client module for accessing the Trixel Lookup Service (API) |
| upload_time | 2024-07-28 07:16:12 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | <4.0,>=3.8 |
| license | # MIT License Copyright (c) [2024] [Till Fleisch] Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
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|
This python client module for the Trixel Lookup Service was entirely generated using [openapi-pyhton-client](https://github.com/openapi-generators/openapi-python-client).
---
---
# trixellookupclient
A client library for accessing Trixel Lookup Service
## Usage
First, create a client:
```python
from trixellookupclient import Client
client = Client(base_url="https://api.example.com")
```
If the endpoints you're going to hit require authentication, use `AuthenticatedClient` instead:
```python
from trixellookupclient import AuthenticatedClient
client = AuthenticatedClient(base_url="https://api.example.com", token="SuperSecretToken")
```
Now call your endpoint and use your models:
```python
from trixellookupclient.models import MyDataModel
from trixellookupclient.api.my_tag import get_my_data_model
from trixellookupclient.types import Response
with client as client:
my_data: MyDataModel = get_my_data_model.sync(client=client)
# or if you need more info (e.g. status_code)
response: Response[MyDataModel] = get_my_data_model.sync_detailed(client=client)
```
Or do the same thing with an async version:
```python
from trixellookupclient.models import MyDataModel
from trixellookupclient.api.my_tag import get_my_data_model
from trixellookupclient.types import Response
async with client as client:
my_data: MyDataModel = await get_my_data_model.asyncio(client=client)
response: Response[MyDataModel] = await get_my_data_model.asyncio_detailed(client=client)
```
By default, when you're calling an HTTPS API it will attempt to verify that SSL is working correctly. Using certificate verification is highly recommended most of the time, but sometimes you may need to authenticate to a server (especially an internal server) using a custom certificate bundle.
```python
client = AuthenticatedClient(
base_url="https://internal_api.example.com",
token="SuperSecretToken",
verify_ssl="/path/to/certificate_bundle.pem",
)
```
You can also disable certificate validation altogether, but beware that **this is a security risk**.
```python
client = AuthenticatedClient(
base_url="https://internal_api.example.com",
token="SuperSecretToken",
verify_ssl=False
)
```
Things to know:
1. Every path/method combo becomes a Python module with four functions:
1. `sync`: Blocking request that returns parsed data (if successful) or `None`
1. `sync_detailed`: Blocking request that always returns a `Request`, optionally with `parsed` set if the request was successful.
1. `asyncio`: Like `sync` but async instead of blocking
1. `asyncio_detailed`: Like `sync_detailed` but async instead of blocking
1. All path/query params, and bodies become method arguments.
1. If your endpoint had any tags on it, the first tag will be used as a module name for the function (my_tag above)
1. Any endpoint which did not have a tag will be in `trixellookupclient.api.default`
## Advanced customizations
There are more settings on the generated `Client` class which let you control more runtime behavior, check out the docstring on that class for more info. You can also customize the underlying `httpx.Client` or `httpx.AsyncClient` (depending on your use-case):
```python
from trixellookupclient import Client
def log_request(request):
print(f"Request event hook: {request.method} {request.url} - Waiting for response")
def log_response(response):
request = response.request
print(f"Response event hook: {request.method} {request.url} - Status {response.status_code}")
client = Client(
base_url="https://api.example.com",
httpx_args={"event_hooks": {"request": [log_request], "response": [log_response]}},
)
# Or get the underlying httpx client to modify directly with client.get_httpx_client() or client.get_async_httpx_client()
```
You can even set the httpx client directly, but beware that this will override any existing settings (e.g., base_url):
```python
import httpx
from trixellookupclient import Client
client = Client(
base_url="https://api.example.com",
)
# Note that base_url needs to be re-set, as would any shared cookies, headers, etc.
client.set_httpx_client(httpx.Client(base_url="https://api.example.com", proxies="http://localhost:8030"))
```
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"description": "This python client module for the Trixel Lookup Service was entirely generated using [openapi-pyhton-client](https://github.com/openapi-generators/openapi-python-client).\n---\n---\n# trixellookupclient\nA client library for accessing Trixel Lookup Service\n\n## Usage\nFirst, create a client:\n\n```python\nfrom trixellookupclient import Client\n\nclient = Client(base_url=\"https://api.example.com\")\n```\n\nIf the endpoints you're going to hit require authentication, use `AuthenticatedClient` instead:\n\n```python\nfrom trixellookupclient import AuthenticatedClient\n\nclient = AuthenticatedClient(base_url=\"https://api.example.com\", token=\"SuperSecretToken\")\n```\n\nNow call your endpoint and use your models:\n\n```python\nfrom trixellookupclient.models import MyDataModel\nfrom trixellookupclient.api.my_tag import get_my_data_model\nfrom trixellookupclient.types import Response\n\nwith client as client:\n my_data: MyDataModel = get_my_data_model.sync(client=client)\n # or if you need more info (e.g. status_code)\n response: Response[MyDataModel] = get_my_data_model.sync_detailed(client=client)\n```\n\nOr do the same thing with an async version:\n\n```python\nfrom trixellookupclient.models import MyDataModel\nfrom trixellookupclient.api.my_tag import get_my_data_model\nfrom trixellookupclient.types import Response\n\nasync with client as client:\n my_data: MyDataModel = await get_my_data_model.asyncio(client=client)\n response: Response[MyDataModel] = await get_my_data_model.asyncio_detailed(client=client)\n```\n\nBy default, when you're calling an HTTPS API it will attempt to verify that SSL is working correctly. Using certificate verification is highly recommended most of the time, but sometimes you may need to authenticate to a server (especially an internal server) using a custom certificate bundle.\n\n```python\nclient = AuthenticatedClient(\n base_url=\"https://internal_api.example.com\", \n token=\"SuperSecretToken\",\n verify_ssl=\"/path/to/certificate_bundle.pem\",\n)\n```\n\nYou can also disable certificate validation altogether, but beware that **this is a security risk**.\n\n```python\nclient = AuthenticatedClient(\n base_url=\"https://internal_api.example.com\", \n token=\"SuperSecretToken\", \n verify_ssl=False\n)\n```\n\nThings to know:\n1. Every path/method combo becomes a Python module with four functions:\n 1. `sync`: Blocking request that returns parsed data (if successful) or `None`\n 1. `sync_detailed`: Blocking request that always returns a `Request`, optionally with `parsed` set if the request was successful.\n 1. `asyncio`: Like `sync` but async instead of blocking\n 1. `asyncio_detailed`: Like `sync_detailed` but async instead of blocking\n\n1. All path/query params, and bodies become method arguments.\n1. If your endpoint had any tags on it, the first tag will be used as a module name for the function (my_tag above)\n1. Any endpoint which did not have a tag will be in `trixellookupclient.api.default`\n\n## Advanced customizations\n\nThere are more settings on the generated `Client` class which let you control more runtime behavior, check out the docstring on that class for more info. You can also customize the underlying `httpx.Client` or `httpx.AsyncClient` (depending on your use-case):\n\n```python\nfrom trixellookupclient import Client\n\ndef log_request(request):\n print(f\"Request event hook: {request.method} {request.url} - Waiting for response\")\n\ndef log_response(response):\n request = response.request\n print(f\"Response event hook: {request.method} {request.url} - Status {response.status_code}\")\n\nclient = Client(\n base_url=\"https://api.example.com\",\n httpx_args={\"event_hooks\": {\"request\": [log_request], \"response\": [log_response]}},\n)\n\n# Or get the underlying httpx client to modify directly with client.get_httpx_client() or client.get_async_httpx_client()\n```\n\nYou can even set the httpx client directly, but beware that this will override any existing settings (e.g., base_url):\n\n```python\nimport httpx\nfrom trixellookupclient import Client\n\nclient = Client(\n base_url=\"https://api.example.com\",\n)\n# Note that base_url needs to be re-set, as would any shared cookies, headers, etc.\nclient.set_httpx_client(httpx.Client(base_url=\"https://api.example.com\", proxies=\"http://localhost:8030\"))\n```\n\n",
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