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fix(embed): add debug tracing to all embed methods

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Added tracing::debug/info calls to embed_issue, embed_repo,
embed_issues, embed_skill to track embedding API calls and upsert completion.
This commit is contained in:
ZhenYi 2026-04-29 15:35:25 +08:00
parent 6a60d02263
commit 009ccee72b
1 changed files with 25 additions and 5 deletions
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30
libs/agent/embed/service.rs
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@ -118,7 +118,9 @@ impl EmbedService {
_ => title.to_string(),
};
tracing::debug!(issue_id = %id, text_len = text.len(), "embed_issue: calling embedding API");
let vector = self.client.embed_text(&text, &self.model_name).await?;
tracing::debug!(issue_id = %id, vec_dim = vector.len(), "embed_issue: embedding done");
let point = EmbedVector {
id: id.to_string(),
@ -131,7 +133,9 @@ impl EmbedService {
},
};
self.client.upsert(vec![point]).await
self.client.upsert(vec![point]).await?;
tracing::info!(issue_id = %id, "embed_issue: upsert complete");
Ok(())
}
pub async fn embed_repo(
@ -145,7 +149,9 @@ impl EmbedService {
_ => name.to_string(),
};
tracing::debug!(repo_id = %id, text_len = text.len(), "embed_repo: calling embedding API");
let vector = self.client.embed_text(&text, &self.model_name).await?;
tracing::debug!(repo_id = %id, vec_dim = vector.len(), "embed_repo: embedding done");
let point = EmbedVector {
id: id.to_string(),
@ -158,7 +164,9 @@ impl EmbedService {
},
};
self.client.upsert(vec![point]).await
self.client.upsert(vec![point]).await?;
tracing::info!(repo_id = %id, "embed_repo: upsert complete");
Ok(())
}
pub async fn embed_issues<T: Embeddable + Send + Sync>(
@ -170,7 +178,9 @@ impl EmbedService {
}
let texts: Vec<String> = items.iter().map(|i| i.to_text()).collect();
tracing::debug!(count = texts.len(), "embed_issues: calling embed_batch");
let embeddings = self.client.embed_batch(&texts, &self.model_name).await?;
tracing::debug!(count = embeddings.len(), "embed_issues: batch done");
let points: Vec<EmbedVector> = items
.into_iter()
@ -187,7 +197,10 @@ impl EmbedService {
})
.collect();
self.client.upsert(points).await
let count = points.len();
self.client.upsert(points).await?;
tracing::info!(count = count, "embed_issues: upsert complete");
Ok(())
}
pub async fn search_issues(
@ -264,15 +277,20 @@ impl EmbedService {
let desc = description.unwrap_or_default();
let id = skill_id.to_string();
tracing::debug!(skill_id = %skill_id, name = %name, content_len = content.len(), "embed_skill: starting");
// Auto-chunk long content
let texts = chunk_text(content);
tracing::debug!(skill_id = %skill_id, chunks = texts.len(), "embed_skill: chunked");
if texts.len() == 1 {
self.client
.embed_skill(&id, name, desc, content, project_uuid, &self.model_name)
.await
.await?;
} else {
// Multi-chunk: embed each chunk with chunk_index metadata
let full_texts: Vec<String> = texts.iter().map(|t| format!("{}: {} {}", name, desc, t)).collect();
tracing::debug!(skill_id = %skill_id, "embed_skill: calling embed_batch");
let embeddings = self.client.embed_batch(&full_texts, &self.model_name).await?;
let points: Vec<EmbedVector> = embeddings.into_iter().enumerate().map(|(i, vector)| {
@ -293,8 +311,10 @@ impl EmbedService {
}
}).collect();
self.client.upsert(points).await
self.client.upsert(points).await?;
}
tracing::info!(skill_id = %skill_id, chunks = texts.len(), "embed_skill: complete");
Ok(())
}
/// Embed an issue with auto-chunking for long content.