from typing import Any, Dict, Optional, Union
import httpx
from ...client import Client
from ...models.created_at_sort_mode import CreatedAtSortMode
from ...models.error import Error
from ...models.ml_prompt_results_page import MlPromptResultsPage
from ...types import Response
[docs]
def _get_kwargs(
sort_by: CreatedAtSortMode,
*,
client: Client,
limit: Optional[int] = None,
page_token: Optional[str] = None,
) -> Dict[str, Any]:
url = "{}/ml-prompts".format(
client.base_url,
) # noqa: E501
if limit is not None:
if "?" in url:
url = url + "&limit=" + str(limit)
else:
url = url + "?limit=" + str(limit)
if page_token is not None:
if "?" in url:
url = url + "&page_token=" + str(page_token)
else:
url = url + "?page_token=" + str(page_token)
if sort_by is not None:
if "?" in url:
url = url + "&sort_by=" + str(sort_by)
else:
url = url + "?sort_by=" + str(sort_by)
headers: Dict[str, Any] = client.get_headers()
cookies: Dict[str, Any] = client.get_cookies()
return {
"url": url,
"headers": headers,
"cookies": cookies,
"timeout": client.get_timeout(),
}
[docs]
def _parse_response(
*, response: httpx.Response
) -> Optional[Union[MlPromptResultsPage, Error]]:
if response.status_code == 200:
response_200 = MlPromptResultsPage(**response.json())
return response_200
if response.status_code == 400:
response_4XX = Error(**response.json())
return response_4XX
if response.status_code == 500:
response_5XX = Error(**response.json())
return response_5XX
return Error(**response.json())
[docs]
def _build_response(
*, response: httpx.Response
) -> Response[Optional[Union[MlPromptResultsPage, Error]]]:
return Response(
status_code=response.status_code,
content=response.content,
headers=response.headers,
parsed=_parse_response(response=response),
)
[docs]
def sync_detailed(
sort_by: CreatedAtSortMode,
*,
client: Client,
limit: Optional[int] = None,
page_token: Optional[str] = None,
) -> Response[Optional[Union[MlPromptResultsPage, Error]]]:
kwargs = _get_kwargs(
limit=limit,
page_token=page_token,
sort_by=sort_by,
client=client,
)
response = httpx.get(
verify=client.verify_ssl,
**kwargs,
)
return _build_response(response=response)
[docs]
def sync(
sort_by: CreatedAtSortMode,
*,
client: Client,
limit: Optional[int] = None,
page_token: Optional[str] = None,
) -> Optional[Union[MlPromptResultsPage, Error]]:
"""For text-to-cad prompts, this will always return the STEP file contents as well as the format the user originally requested.
This endpoint requires authentication by a Zoo employee.
The ML prompts are returned in order of creation, with the most recently created ML prompts first.
""" # noqa: E501
return sync_detailed(
limit=limit,
page_token=page_token,
sort_by=sort_by,
client=client,
).parsed
[docs]
async def asyncio_detailed(
sort_by: CreatedAtSortMode,
*,
client: Client,
limit: Optional[int] = None,
page_token: Optional[str] = None,
) -> Response[Optional[Union[MlPromptResultsPage, Error]]]:
kwargs = _get_kwargs(
limit=limit,
page_token=page_token,
sort_by=sort_by,
client=client,
)
async with httpx.AsyncClient(verify=client.verify_ssl) as _client:
response = await _client.get(**kwargs)
return _build_response(response=response)
[docs]
async def asyncio(
sort_by: CreatedAtSortMode,
*,
client: Client,
limit: Optional[int] = None,
page_token: Optional[str] = None,
) -> Optional[Union[MlPromptResultsPage, Error]]:
"""For text-to-cad prompts, this will always return the STEP file contents as well as the format the user originally requested.
This endpoint requires authentication by a Zoo employee.
The ML prompts are returned in order of creation, with the most recently created ML prompts first.
""" # noqa: E501
return (
await asyncio_detailed(
limit=limit,
page_token=page_token,
sort_by=sort_by,
client=client,
)
).parsed