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@@ -81,6 +81,75 @@ Nested request parameters are [TypedDicts](https://docs.python.org/3/library/typ
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Typed requests and responses provide autocomplete and documentation within your editor. If you would like to see type errors in VS Code to help catch bugs earlier, set `python.analysis.typeCheckingMode` to `basic`.
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## Pagination
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List methods in the Codex API are paginated.
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This library provides auto-paginating iterators with each list response, so you do not have to request successive pages manually:
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```python
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from codex import Codex
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client = Codex()
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all_entries = []
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# Automatically fetches more pages as needed.
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for entry in client.projects.entries.list(
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project_id=0,
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):
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# Do something with entry here
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all_entries.append(entry)
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print(all_entries)
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```
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Or, asynchronously:
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```python
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import asyncio
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from codex import AsyncCodex
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client = AsyncCodex()
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asyncdefmain() -> None:
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all_entries = []
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# Iterate through items across all pages, issuing requests as needed.
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asyncfor entry in client.projects.entries.list(
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project_id=0,
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):
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all_entries.append(entry)
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print(all_entries)
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asyncio.run(main())
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```
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Alternatively, you can use the `.has_next_page()`, `.next_page_info()`, or `.get_next_page()` methods for more granular control working with pages:
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```python
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first_page =await client.projects.entries.list(
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project_id=0,
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)
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if first_page.has_next_page():
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print(f"will fetch next page using these details: {first_page.next_page_info()}")
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next_page =await first_page.get_next_page()
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print(f"number of items we just fetched: {len(next_page.entries)}")
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# Remove `await` for non-async usage.
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```
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Or just work directly with the returned data:
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```python
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first_page =await client.projects.entries.list(
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project_id=0,
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)
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for entry in first_page.entries:
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print(entry.id)
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# Remove `await` for non-async usage.
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```
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## Handling errors
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When the library is unable to connect to the API (for example, due to network connection problems or a timeout), a subclass of `codex.APIConnectionError` is raised.
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