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test(sl-viewer): command_palette + daemon_url properties (28 props) #507
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@@ -14,7 +14,27 @@ use session_ledger::domain::session::Session; | |
| #[cfg(feature = "parquet")] | ||
| use session_ledger::ports::CorpusSource; | ||
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| use crate::mock_data::sample_sessions; | ||
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| use crate::web_exports::*; | ||
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| use crate::web_exports::*; | ||
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| use crate::web_exports::*; | ||
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| use crate::web_exports::*; | ||
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| use crate::web_exports::*; | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Suggestion: The import section contains unresolved merge markers and leaves the required Severity Level: Critical 🚨- ❌ `sl-viewer` compilation fails immediately.
- ❌ Viewer tests cannot build or execute.
- ❌ Mock corpus loading remains unavailable.Prompt for AI Agent 🤖This is a comment left during a code review.
**Path:** crates/sl-viewer/src/corpus_loader.rs
**Line:** 17:37
**Comment:**
*Import Error: The import section contains unresolved merge markers and leaves the required `sample_sessions` import inside an unmerged branch. This prevents the viewer module from resolving its mock-data dependency and must be replaced with one clean, intentional import block before merging.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix |
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| /// Source configuration for the viewer's session list. | ||
| #[derive(Debug, Clone, Default)] | ||
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Suggestion: The new search path still reads each candidate file into a full
Stringand parses the entire document into aserde_json::Valuebefore extracting metadata. A single large OKF payload therefore remains fully allocated during the request, so the advertised memory reduction and early-limit behavior are not achieved for large entity or message arrays; extract only the metadata fields from a streaming or selective deserializer. [performance]Severity Level: Major⚠️
Prompt for AI Agent 🤖