litellm/tests/test_litellm/integrations/cloudzero/test_cz_stream_api.py

import os
import sys
import zoneinfo
from datetime import datetime, timezone
from unittest.mock import MagicMock, Mock, patch

import httpx
import polars as pl
import pytest

sys.path.insert(0, os.path.abspath("../../../.."))

from litellm.integrations.cloudzero.cz_stream_api import CloudZeroStreamer


class TestCloudZeroStreamer:
    """Test suite for CloudZeroStreamer class."""

    def test_init_with_defaults(self):
        """Test CloudZeroStreamer initialization with default parameters."""
        streamer = CloudZeroStreamer(
            api_key="test-key", connection_id="test-connection"
        )

        assert streamer.api_key == "test-key"
        assert streamer.connection_id == "test-connection"
        assert streamer.base_url == "https://api.cloudzero.com"
        assert streamer.user_timezone == timezone.utc

    def test_init_with_valid_timezone(self):
        """Test CloudZeroStreamer initialization with valid timezone."""
        streamer = CloudZeroStreamer(
            api_key="test-key",
            connection_id="test-connection",
            user_timezone="America/New_York",
        )

        assert streamer.user_timezone == zoneinfo.ZoneInfo("America/New_York")

    def test_send_batched_with_valid_data(self):
        """Test send_batched method with valid data."""
        streamer = CloudZeroStreamer("test-key", "test-connection")
        with (
            patch.object(streamer, "_group_by_date") as mock_group,
            patch.object(streamer, "_send_daily_batch") as mock_send,
        ):

            mock_group.return_value = {
                "2025-01-19": pl.DataFrame({"test": ["data1"]}),
                "2025-01-20": pl.DataFrame({"test": ["data2"]}),
            }

            data = pl.DataFrame({"test": ["data"]})
            streamer.send_batched(data, "replace_hourly")

            assert mock_send.call_count == 2

    def test_group_by_date_valid_data(self):
        """Test _group_by_date method with valid data."""
        streamer = CloudZeroStreamer("test-key", "test-connection")
        with patch.object(streamer, "_parse_and_convert_timestamp") as mock_parse:
            mock_parse.return_value = datetime(
                2025, 1, 19, 10, 30, 0, tzinfo=timezone.utc
            )

            data = pl.DataFrame(
                {"time/usage_start": ["2025-01-19T10:30:00Z"], "cost": [10.0]}
            )

            result = streamer._group_by_date(data)

            assert "2025-01-19" in result
            assert len(result["2025-01-19"]) == 1

    def test_parse_and_convert_timestamp_utc(self):
        """Test _parse_and_convert_timestamp method with UTC timestamp."""
        streamer = CloudZeroStreamer("test-key", "test-connection")

        result = streamer._parse_and_convert_timestamp("2025-01-19T10:30:00Z")

        assert result.year == 2025
        assert result.month == 1
        assert result.day == 19
        assert result.hour == 10
        assert result.minute == 30
        assert result.tzinfo == timezone.utc

    def test_parse_and_convert_timestamp_with_offset(self):
        """Test _parse_and_convert_timestamp method with timezone offset."""
        streamer = CloudZeroStreamer("test-key", "test-connection")

        result = streamer._parse_and_convert_timestamp("2025-01-19T10:30:00+05:00")

        assert result.tzinfo == timezone.utc
        assert result.hour == 5  # Converted to UTC

    def test_parse_and_convert_timestamp_no_timezone(self):
        """Test _parse_and_convert_timestamp method without timezone info."""
        streamer = CloudZeroStreamer(
            "test-key", "test-connection", user_timezone="America/New_York"
        )

        result = streamer._parse_and_convert_timestamp("2025-01-19T10:30:00")

        assert result.tzinfo == timezone.utc

    def test_parse_and_convert_timestamp_invalid(self):
        """Test _parse_and_convert_timestamp method with invalid timestamp."""
        streamer = CloudZeroStreamer("test-key", "test-connection")

        with pytest.raises(ValueError):
            streamer._parse_and_convert_timestamp("invalid-timestamp")

    def test_prepare_batch_payload(self):
        """Test _prepare_batch_payload method."""
        streamer = CloudZeroStreamer("test-key", "test-connection")
        with patch.object(streamer, "_convert_cbf_to_api_format") as mock_convert:
            mock_convert.return_value = {"test": "record"}

            batch_data = pl.DataFrame({"cost": [10.0]})
            result = streamer._prepare_batch_payload(
                "2025-01-19", batch_data, "replace_hourly"
            )

            assert result["month"] == "2025-01"
            assert result["operation"] == "replace_hourly"
            assert len(result["data"]) == 1

    def test_convert_cbf_to_api_format_valid_data(self):
        """Test _convert_cbf_to_api_format method with valid data."""
        streamer = CloudZeroStreamer("test-key", "test-connection")
        with patch.object(streamer, "_ensure_utc_timestamp") as mock_ensure:
            mock_ensure.return_value = "2025-01-19T10:30:00Z"

            row = {
                "time/usage_start": "2025-01-19T10:30:00Z",
                "cost/cost": 10.5,
                "tokens": 100,
                "text_field": "test",
            }

            result = streamer._convert_cbf_to_api_format(row)

            assert result["cost/cost"] == "10.5"
            assert result["tokens"] == "100"
            assert result["text_field"] == "test"

    def test_convert_cbf_to_api_format_float_precision(self):
        """Test _convert_cbf_to_api_format method handles float precision correctly."""
        streamer = CloudZeroStreamer("test-key", "test-connection")

        row = {"cost": 10.123456789012345, "large_float": 1234567890.0}

        result = streamer._convert_cbf_to_api_format(row)

        # Should avoid scientific notation
        assert "e" not in result["cost"].lower()
        assert "e" not in result["large_float"].lower()