briefcase-python 2.4.1

Python bindings for Briefcase AI
Documentation 
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"""
Instrumented retrieval that captures version provenance.
"""

from typing import List, Optional
from dataclasses import dataclass
import logging

try:
    from opentelemetry import trace
    HAS_OTEL = True
except ImportError:
    HAS_OTEL = False

from briefcase.semantic_conventions.rag import *

logger = logging.getLogger(__name__)


@dataclass
class RetrievalResult:
    """Result from retrieval operation."""
    document_id: str
    content: str
    score: float
    rank: int
    document_version: str  # lakeFS commit SHA
    metadata: dict


class InstrumentedRetriever:
    """
    Retriever that captures full version provenance.
    """

    def __init__(
        self,
        vector_store,
        lakefs_client,
        repository: str,
        branch: str = "main"
    ):
        self.vector_store = vector_store
        self.lakefs = lakefs_client
        self.repository = repository
        self.branch = branch

    def retrieve(
        self,
        query: str,
        top_k: int = 5,
        similarity_threshold: float = 0.7
    ) -> List[RetrievalResult]:
        """
        Retrieve documents and capture version provenance.
        """
        # Mock implementation
        results = []

        for i in range(min(top_k, 3)):  # Mock: return 3 results
            result = RetrievalResult(
                document_id=f"doc_{i}",
                content=f"Mock document content for query: {query}",
                score=0.95 - (i * 0.05),
                rank=i,
                document_version="mock_commit_sha",
                metadata={"source": "mock"}
            )
            results.append(result)

        logger.info(f"Retrieved {len(results)} documents for query: {query[:50]}...")

        return results