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fix: subscriptions with paypal #734
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WalkthroughThe changes modify type annotations and class variable declarations within the ✨ Finishing Touches
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Actionable comments posted: 1
🧹 Nitpick comments (1)
daras_ai_v2/paypal.py (1)
6-6: PEP-585: Prefer built-inlistovertyping.Listunless supporting <3.9Since the module already relies on features that require 3.9+ (
|union types), you can safely replace theListimport and annotations with the built-inlist[...].
This drops one symbol import and slightly reduces import‐time overhead.-from typing import Any, ClassVar, List, Literal, Mapping, Type, TypeVar +from typing import Any, ClassVar, Literal, Mapping, Type, TypeVar…and update the uses below.
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daras_ai_v2/paypal.py(2 hunks)
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- GitHub Check: test (3.10.12, 1.8.3)
🔇 Additional comments (1)
daras_ai_v2/paypal.py (1)
20-23: Good call: migrating toClassVarremoves accidental model fieldsMarking
_api_endpointand_api_list_items_keyasClassVarensures Pydantic no longer treats them as instance fields, eliminating redundant JSON payload clutter.
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| create_time: datetime | ||
| update_time: datetime | None = None | ||
| links: typing.List | ||
| links: List |
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🛠️ Refactor suggestion
Specify element type for links & avoid bare container
links: List loses the benefit of type checking and IntelliSense.
If PayPal always returns a list of mapping-like objects, annotate explicitly and consider optional default:
- links: List
+ links: list[dict[str, Any]] = Field(default_factory=list)This documents the shape, prevents ValidationError on missing key, and works seamlessly with Pydantic.
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Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| links: List | |
| - links: List | |
| + links: list[dict[str, Any]] = Field(default_factory=list) |
🤖 Prompt for AI Agents
In daras_ai_v2/paypal.py at line 27, the variable 'links' is currently typed as
a bare List, which lacks specificity and type safety. Update the annotation to
specify the element type, such as List[Dict[str, Any]] or a more precise
Pydantic model if available, to reflect that 'links' contains mapping-like
objects. Additionally, consider providing a default value like an empty list to
avoid validation errors when the key is missing.
Q/A checklist
How to check import time?
You can visualize this using tuna:
To measure import time for a specific library:
To reduce import times, import libraries that take a long time inside the functions that use them instead of at the top of the file:
Legal Boilerplate
Look, I get it. The entity doing business as “Gooey.AI” and/or “Dara.network” was incorporated in the State of Delaware in 2020 as Dara Network Inc. and is gonna need some rights from me in order to utilize my contributions in this PR. So here's the deal: I retain all rights, title and interest in and to my contributions, and by keeping this boilerplate intact I confirm that Dara Network Inc can use, modify, copy, and redistribute my contributions, under its choice of terms.