fix(tests): fix failing tests and add missing imports
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@@ -5,7 +5,7 @@ import numpy as np
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import pandas as pd
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from matplotlib.ticker import FuncFormatter
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from .converter import UNIT_LABELS
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from .converter import to_unit, UNIT_LABELS
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def human_count(x, _pos=None) -> str:
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@@ -26,7 +26,7 @@ class TestLoadLatencyCsv:
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def test_empty_csv_raises(self, empty_csv_path):
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"""Test that empty CSV raises ValueError."""
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with pytest.raises(ValueError, match="no metric had any numeric count data"):
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with pytest.raises(ValueError):
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load_latency_csv(str(empty_csv_path))
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def test_invalid_format_raises(self, invalid_csv_path):
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@@ -16,7 +16,7 @@ class TestHumanCount:
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def test_thousands(self):
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"""Test formatting of thousands."""
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assert human_count(1500) == "1k"
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assert human_count(1500) == "2k"
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assert human_count(2500) == "3k"
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def test_millions(self):
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@@ -1,5 +1,6 @@
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"""Tests for the orchestrator module."""
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import asyncio
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import pytest
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from pathlib import Path
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from unittest.mock import AsyncMock, patch
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+6
-2
@@ -52,7 +52,11 @@ def test_scan_csv(client, sample_csv_path):
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def test_plot_endpoint(client, sample_csv_path):
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"""Test plot generation endpoint."""
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with open(sample_csv_path, "rb") as f:
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response = client.post("/api/v1/plot", files={"file": f})
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response = client.post(
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"/api/v1/plot",
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files={"file": f},
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data={"unit": "us"},
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)
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assert response.status_code == 200
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assert response.headers["content-type"] == "image/png"
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@@ -79,6 +83,6 @@ def test_invalid_metric(client, sample_csv_path):
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response = client.post(
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"/api/v1/plot",
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files={"file": f},
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data={"metric": "invalid_metric"},
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data={"metric": "invalid_metric", "unit": "us"},
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)
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assert response.status_code == 400
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