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fix(docs): map live VectorRAG result shapes (#5960)
* fix(docs): map live VectorRAG result shapes * fix(docs): normalize optional VectorRAG fields --------- Co-authored-by: Alexandre Teixeira <alexandremagteixeira@gmail.com>
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co-authored by
Alexandre Teixeira
parent
ee252e7cd9
commit
8cb8b074a4
+41
-11
@@ -50,16 +50,46 @@ class DocsService:
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List of DocChunk objects
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"""
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results = self.rag.search(query, k=top_k)
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return [
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DocChunk(
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text=r.get("text", r.get("content", "")),
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source=r.get("source", r.get("metadata", {}).get("source", "unknown")),
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score=r.get("score", 0.0),
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metadata=r.get("metadata"),
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chunks = []
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for result in results:
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if not isinstance(result, dict):
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continue
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metadata = result.get("metadata")
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if not isinstance(metadata, dict):
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metadata = {}
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text = result.get("document")
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if text is None:
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text = result.get("text")
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if text is None:
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text = result.get("content")
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if text is None:
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text = ""
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source = result.get("source")
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if source is None:
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source = metadata.get("source")
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if source is None:
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source = "unknown"
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score = result.get("similarity")
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if score is None:
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score = result.get("score")
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if score is None:
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score = 0.0
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chunks.append(
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DocChunk(
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text=text,
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source=source,
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score=score,
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metadata=metadata,
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)
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)
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for r in results
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if isinstance(r, dict)
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]
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return chunks
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async def index(self, directory: str) -> IndexResult:
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"""
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@@ -73,8 +103,8 @@ class DocsService:
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"""
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result = self.rag.index_personal_documents(directory)
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return IndexResult(
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indexed=result.get("indexed", 0),
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failed=result.get("failed", 0),
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indexed=result.get("indexed_count", result.get("indexed", 0)),
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failed=result.get("failed_count", result.get("failed", 0)),
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errors=result.get("errors", []),
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)
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