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Project description
Pipedream Python Library
The Pipedream Python library provides convenient access to the Pipedream APIs from Python.
Installation
pip install pipedream
Reference
A full reference for this library is available here.
Usage
Instantiate and use the client with the following:
from pipedream import Pipedream
client = Pipedream(
project_id="YOUR_PROJECT_ID",
project_environment="YOUR_PROJECT_ENVIRONMENT",
client_id="YOUR_CLIENT_ID",
client_secret="YOUR_CLIENT_SECRET",
)
client.actions.run(
id="id",
external_user_id="external_user_id",
)
Async Client
The SDK also exports an async
client so that you can make non-blocking calls to our API. Note that if you are constructing an Async httpx client class to pass into this client, use httpx.AsyncClient()
instead of httpx.Client()
(e.g. for the httpx_client
parameter of this client).
import asyncio
from pipedream import AsyncPipedream
client = AsyncPipedream(
project_id="YOUR_PROJECT_ID",
project_environment="YOUR_PROJECT_ENVIRONMENT",
client_id="YOUR_CLIENT_ID",
client_secret="YOUR_CLIENT_SECRET",
)
async def main() -> None:
await client.actions.run(
id="id",
external_user_id="external_user_id",
)
asyncio.run(main())
Exception Handling
When the API returns a non-success status code (4xx or 5xx response), a subclass of the following error will be thrown.
from pipedream.core.api_error import ApiError
try:
client.actions.run(...)
except ApiError as e:
print(e.status_code)
print(e.body)
Pagination
Paginated requests will return a SyncPager
or AsyncPager
, which can be used as generators for the underlying object.
from pipedream import Pipedream
client = Pipedream(
project_id="YOUR_PROJECT_ID",
project_environment="YOUR_PROJECT_ENVIRONMENT",
client_id="YOUR_CLIENT_ID",
client_secret="YOUR_CLIENT_SECRET",
)
response = client.apps.list(
after="after",
before="before",
limit=1,
q="q",
sort_key="name",
sort_direction="asc",
)
for item in response:
yield item
# alternatively, you can paginate page-by-page
for page in response.iter_pages():
yield page
Advanced
Access Raw Response Data
The SDK provides access to raw response data, including headers, through the .with_raw_response
property.
The .with_raw_response
property returns a "raw" client that can be used to access the .headers
and .data
attributes.
from pipedream import Pipedream
client = Pipedream(
...,
)
response = client.actions.with_raw_response.run(...)
print(response.headers) # access the response headers
print(response.data) # access the underlying object
pager = client.apps.list(...)
print(pager.response.headers) # access the response headers for the first page
for item in pager:
print(item) # access the underlying object(s)
for page in pager.iter_pages():
print(page.response.headers) # access the response headers for each page
for item in page:
print(item) # access the underlying object(s)
Retries
The SDK is instrumented with automatic retries with exponential backoff. A request will be retried as long as the request is deemed retryable and the number of retry attempts has not grown larger than the configured retry limit (default: 2).
A request is deemed retryable when any of the following HTTP status codes is returned:
Use the max_retries
request option to configure this behavior.
client.actions.run(..., request_options={
"max_retries": 1
})
Timeouts
The SDK defaults to a 60 second timeout. You can configure this with a timeout option at the client or request level.
from pipedream import Pipedream
client = Pipedream(
...,
timeout=20.0,
)
# Override timeout for a specific method
client.actions.run(..., request_options={
"timeout_in_seconds": 1
})
Custom Client
You can override the httpx
client to customize it for your use-case. Some common use-cases include support for proxies
and transports.
import httpx
from pipedream import Pipedream
client = Pipedream(
...,
httpx_client=httpx.Client(
proxy="http://my.test.proxy.example.com/",
transport=httpx.HTTPTransport(local_address="0.0.0.0"),
),
)
Contributing
While we value open-source contributions to this SDK, this library is generated programmatically. Additions made directly to this library would have to be moved over to our generation code, otherwise they would be overwritten upon the next generated release. Feel free to open a PR as a proof of concept, but know that we will not be able to merge it as-is. We suggest opening an issue first to discuss with us!
On the other hand, contributions to the README are always very welcome!
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- Owner: https://github.com/PipedreamHQ
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