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Merge pull request #16764 from BerriAI/litellm_tag_spend_dedupe
[Fix] Deduplicate /tag/daily/activity metadata
This commit is contained in:
@@ -1263,6 +1263,9 @@ class DBSpendUpdateWriter:
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)
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}
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if entity_type == "tag" and "request_id" in transaction:
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update_data["request_id"] = transaction.get("request_id")
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table.upsert(
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where=where_clause,
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data={
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@@ -1,5 +1,5 @@
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from datetime import datetime
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from typing import Any, Dict, List, Optional, Set, Union
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from typing import Any, Callable, Dict, List, Optional, Set, Union
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from fastapi import HTTPException, status
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@@ -32,6 +32,40 @@ def update_metrics(existing_metrics: SpendMetrics, record: Any) -> SpendMetrics:
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return existing_metrics
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def _is_user_agent_tag(tag: Optional[str]) -> bool:
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"""Determine whether a tag should be treated as a User-Agent tag."""
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if not tag:
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return False
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normalized_tag = tag.strip().lower()
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return normalized_tag.startswith("user-agent:") or normalized_tag.startswith("user agent:")
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def compute_tag_metadata_totals(records: List[Any]) -> SpendMetrics:
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"""
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Deduplicate spend metrics for tags using request_id, ignoring User-Agent prefixed tags.
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Each unique request_id contributes at most one record (the tag with max spend) to metadata.
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"""
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deduped_records: Dict[str, Any] = {}
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for record in records:
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request_id = getattr(record, "request_id", None)
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if not request_id:
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continue
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tag_value = getattr(record, "tag", None)
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if _is_user_agent_tag(tag_value):
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continue
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current_best = deduped_records.get(request_id)
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if current_best is None or record.spend > current_best.spend:
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deduped_records[request_id] = record
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metadata_metrics = SpendMetrics()
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for record in deduped_records.values():
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update_metrics(metadata_metrics, record)
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return metadata_metrics
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def update_breakdown_metrics(
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breakdown: BreakdownMetrics,
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record: Any,
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@@ -380,6 +414,7 @@ async def get_daily_activity(
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page: int,
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page_size: int,
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exclude_entity_ids: Optional[List[str]] = None,
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metadata_metrics_func: Optional[Callable[[List[Any]], SpendMetrics]] = None,
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) -> SpendAnalyticsPaginatedResponse:
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"""Common function to get daily activity for any entity type."""
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@@ -428,18 +463,22 @@ async def get_daily_activity(
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entity_metadata_field=entity_metadata_field,
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)
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metadata_metrics = aggregated["totals"]
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if metadata_metrics_func:
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metadata_metrics = metadata_metrics_func(daily_spend_data)
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return SpendAnalyticsPaginatedResponse(
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results=aggregated["results"],
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metadata=DailySpendMetadata(
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total_spend=aggregated["totals"].spend,
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total_prompt_tokens=aggregated["totals"].prompt_tokens,
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total_completion_tokens=aggregated["totals"].completion_tokens,
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total_tokens=aggregated["totals"].total_tokens,
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total_api_requests=aggregated["totals"].api_requests,
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total_successful_requests=aggregated["totals"].successful_requests,
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total_failed_requests=aggregated["totals"].failed_requests,
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total_cache_read_input_tokens=aggregated["totals"].cache_read_input_tokens,
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total_cache_creation_input_tokens=aggregated["totals"].cache_creation_input_tokens,
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total_spend=metadata_metrics.spend,
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total_prompt_tokens=metadata_metrics.prompt_tokens,
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total_completion_tokens=metadata_metrics.completion_tokens,
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total_tokens=metadata_metrics.total_tokens,
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total_api_requests=metadata_metrics.api_requests,
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total_successful_requests=metadata_metrics.successful_requests,
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total_failed_requests=metadata_metrics.failed_requests,
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total_cache_read_input_tokens=metadata_metrics.cache_read_input_tokens,
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total_cache_creation_input_tokens=metadata_metrics.cache_creation_input_tokens,
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page=page,
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total_pages=-(-total_count // page_size), # Ceiling division
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has_more=(page * page_size) < total_count,
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@@ -22,6 +22,7 @@ from litellm.proxy._types import UserAPIKeyAuth
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from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
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from litellm.proxy.management_endpoints.common_daily_activity import (
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SpendAnalyticsPaginatedResponse,
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compute_tag_metadata_totals,
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get_daily_activity,
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)
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from litellm.proxy.management_helpers.utils import handle_budget_for_entity
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@@ -533,4 +534,5 @@ async def get_tag_daily_activity(
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api_key=api_key,
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page=page,
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page_size=page_size,
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metadata_metrics_func=compute_tag_metadata_totals,
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)
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@@ -223,6 +223,61 @@ async def test_update_daily_spend_sorting():
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mock_table.upsert.assert_has_calls(upsert_calls)
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@pytest.mark.asyncio
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async def test_update_daily_spend_tag_with_request_id():
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"""
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Test that request_id is included in update_data when updating tag transactions.
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"""
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# Setup
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mock_prisma_client = MagicMock()
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mock_batcher = MagicMock()
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mock_table = MagicMock()
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mock_prisma_client.db.batch_.return_value.__aenter__.return_value = mock_batcher
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mock_batcher.litellm_dailytagspend = mock_table
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# Create a transaction with request_id
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daily_spend_transactions = {
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"test_key": {
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"tag": "prod-tag",
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"date": "2024-01-01",
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"api_key": "test-api-key",
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"model": "gpt-4",
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"custom_llm_provider": "openai",
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"mcp_namespaced_tool_name": "",
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"prompt_tokens": 10,
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"completion_tokens": 20,
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"spend": 0.1,
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"api_requests": 1,
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"successful_requests": 1,
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"failed_requests": 0,
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"request_id": "test-request-id-123",
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}
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}
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# Call the method
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await DBSpendUpdateWriter._update_daily_spend(
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n_retry_times=1,
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prisma_client=mock_prisma_client,
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proxy_logging_obj=MagicMock(),
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daily_spend_transactions=daily_spend_transactions,
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entity_type="tag",
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entity_id_field="tag",
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table_name="litellm_dailytagspend",
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unique_constraint_name="tag_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name",
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)
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# Verify that table.upsert was called
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mock_table.upsert.assert_called_once()
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# Verify request_id is in update_data
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call_args = mock_table.upsert.call_args[1]
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update_data = call_args["data"]["update"]
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assert "request_id" in update_data
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assert update_data["request_id"] == "test-request-id-123"
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@pytest.mark.asyncio
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async def test_update_daily_spend_with_none_values_in_sorting_fields():
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"""
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@@ -1,20 +1,18 @@
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import json
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import os
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import sys
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from datetime import datetime, timezone
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from unittest.mock import AsyncMock, MagicMock
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import pytest
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from fastapi.testclient import TestClient
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sys.path.insert(
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0, os.path.abspath("../../../..")
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) # Adds the parent directory to the system path
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from litellm.proxy.management_endpoints.common_daily_activity import get_daily_activity
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from litellm.proxy.proxy_server import app
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client = TestClient(app)
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from litellm.proxy.management_endpoints.common_daily_activity import (
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_is_user_agent_tag,
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compute_tag_metadata_totals,
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get_daily_activity,
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)
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@pytest.mark.asyncio
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@@ -56,3 +54,73 @@ async def test_get_daily_activity_empty_entity_id_list():
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# Check that team_id is set to empty list
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assert "team_id" in where_conditions
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assert where_conditions["team_id"] == {"in": []}
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def test_is_user_agent_tag():
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"""Test _is_user_agent_tag function."""
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# Test None and empty string
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assert _is_user_agent_tag(None) is False
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assert _is_user_agent_tag("") is False
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# Test user-agent variations (should return True)
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assert _is_user_agent_tag("user-agent:chrome") is True
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assert _is_user_agent_tag("user agent:firefox") is True
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assert _is_user_agent_tag("USER-AGENT:safari") is True
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assert _is_user_agent_tag("User Agent:edge") is True
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assert _is_user_agent_tag(" user-agent:opera ") is True # with whitespace
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# Test regular tags (should return False)
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assert _is_user_agent_tag("production") is False
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assert _is_user_agent_tag("tag:value") is False
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assert _is_user_agent_tag("user-agent-tag") is False # no colon
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def test_compute_tag_metadata_totals():
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"""Test compute_tag_metadata_totals function."""
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# Create mock records
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class MockRecord:
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def __init__(self, request_id, tag, spend, prompt_tokens=10, completion_tokens=5):
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self.request_id = request_id
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self.tag = tag
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self.spend = spend
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self.prompt_tokens = prompt_tokens
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self.completion_tokens = completion_tokens
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self.total_tokens = prompt_tokens + completion_tokens
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self.cache_read_input_tokens = 0
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self.cache_creation_input_tokens = 0
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self.api_requests = 1
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self.successful_requests = 1
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self.failed_requests = 0
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# Test deduplication by request_id (keeps max spend)
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records = [
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MockRecord("req-1", "production", spend=10.0),
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MockRecord("req-1", "staging", spend=20.0), # Higher spend, should be kept
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MockRecord("req-2", "production", spend=15.0),
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]
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result = compute_tag_metadata_totals(records)
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assert result.spend == 35.0 # 20.0 + 15.0 (deduplicated req-1)
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assert result.prompt_tokens == 20 # 10 + 10 (only deduplicated records)
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assert result.completion_tokens == 10 # 5 + 5 (only deduplicated records)
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# Test ignoring user-agent tags
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records_with_ua = [
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MockRecord("req-1", "production", spend=10.0),
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MockRecord("req-1", "user-agent:chrome", spend=50.0), # Should be ignored
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MockRecord("req-2", "staging", spend=15.0),
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]
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result = compute_tag_metadata_totals(records_with_ua)
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assert result.spend == 25.0 # 10.0 + 15.0 (user-agent ignored)
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# Test ignoring records without request_id
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records_no_req_id = [
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MockRecord("req-1", "production", spend=10.0),
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MockRecord(None, "staging", spend=20.0), # Should be ignored
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]
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result = compute_tag_metadata_totals(records_no_req_id)
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assert result.spend == 10.0
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# Test empty records
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result = compute_tag_metadata_totals([])
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assert result.spend == 0.0
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assert result.prompt_tokens == 0
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