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feat: Generate smarter action input defaults #1600
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💡 Codex Review
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1 issue found across 3 files
Prompt for AI agents (all 1 issues)
Understand the root cause of the following 1 issues and fix them.
<file name="tracecat/workflow/actions/utils.py">
<violation number="1" location="tracecat/workflow/actions/utils.py:35">
The numeric zero generator ignores lt/le constraints, so fields declared with Field(lt=...) or Field(le=...) receive 0 and immediately fail validation. Please incorporate upper-bound handling to keep generated defaults within the allowed range.</violation>
</file>
React with 👍 or 👎 to teach cubic. Mention @cubic-dev-ai to give feedback, ask questions, or re-run the review.
- Add type hints for function parameters (field_info: Any) - Rename shadowed variables to avoid redefinition (int_lower_bound, int_upper_bound, etc.) - Add explicit type annotations for local variables to help mypy with type inference - All 42 unit tests still pass - All linting checks pass (ruff, mypy, pyright) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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@daryllimyt I've started the AI code review. It'll take a few minutes to complete. |
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Codex Review: Didn't find any major issues. Delightful! ℹ️ About Codex in GitHubYour team has set up Codex to review pull requests in this repo. Reviews are triggered when you
If Codex has suggestions, it will comment; otherwise it will react with 👍. Codex can also answer questions or update the PR. Try commenting "@codex address that feedback". |
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1 issue found across 3 files
Prompt for AI agents (all 1 issues)
Understand the root cause of the following 1 issues and fix them.
<file name="tracecat/workflow/actions/utils.py">
<violation number="1" location="tracecat/workflow/actions/utils.py:469">
The bytes default ignores min_length, so required bytes fields still fail validation when a minimum length is set. Please generate a placeholder of the required length instead of returning an empty string.</violation>
</file>
React with 👍 or 👎 to teach cubic. Mention @cubic-dev-ai to give feedback, ask questions, or re-run the review.
We were simply doing the equivalent of
'\n'.join("{key} : " for key in required_keys)which results in initial values all beingnull, which can fail validaiton leading to jarring UX. By generating smart defaults (zero value) based on the args schema, we avoid initially setting invalid values.Summary
Replaces basic YAML field listing with intelligent default value generation for action inputs, improving UX by providing meaningful zero-values that respect field constraints.
Changes
generate_zero_defaults()utility to generate type-aware defaults for Pydantic modelsTest plan