From 7cc239cee1a9af4e2e8a0f3d5b7a00a074b17214 Mon Sep 17 00:00:00 2001
From: 罗广辉 <guanghui.luo@foxmail.com>
Date: Wed, 19 Aug 2026 15:43:13 +0800
Subject: [PATCH] feat: 复用检测

---
 tests/test_serve_workbench_console.py |  164 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 files changed, 164 insertions(+), 0 deletions(-)

diff --git a/tests/test_serve_workbench_console.py b/tests/test_serve_workbench_console.py
index d2bf1ad..bb14f49 100644
--- a/tests/test_serve_workbench_console.py
+++ b/tests/test_serve_workbench_console.py
@@ -1,7 +1,12 @@
 from __future__ import annotations
 
 import importlib.util
+import io
+import sys
+import tempfile
 import unittest
+import json
+from urllib.parse import quote
 from pathlib import Path
 
 
@@ -33,6 +38,165 @@
             Path(handler.translate_path("/shared/data/raw/01-object-detection/sample.jpeg")),
             ROOT / "shared" / "data" / "raw" / "01-object-detection" / "sample.jpeg",
         )
+        self.assertEqual(
+            Path(handler.translate_path("/shared/data/raw/02-semantic-mapping/sample.tif")),
+            ROOT / "shared" / "data" / "raw" / "02-semantic-mapping" / "sample.tif",
+        )
+        self.assertEqual(
+            Path(handler.translate_path("/shared/data/raw/00-change-detection/sample.jpg")),
+            ROOT / "shared" / "data" / "raw" / "00-change-detection" / "sample.jpg",
+        )
+        self.assertEqual(
+            Path(handler.translate_path("/shared/data/raw/09-anomaly-detection/sample.tif")),
+            ROOT / "shared" / "data" / "raw" / "09-anomaly-detection" / "sample.tif",
+        )
+        self.assertEqual(
+            Path(handler.translate_path("/shared/data/processed/09-anomaly-detection/sample.tif")),
+            ROOT / ".console-forbidden",
+        )
+
+    def test_upload_name_is_sanitized_and_extension_is_allowlisted(self) -> None:
+        self.assertEqual(MODULE.safe_file_name("../../unsafe name.JPG", {".jpg"}), "unsafe_name.jpg")
+        self.assertEqual(MODULE.safe_file_name("../正常参考图.JPG", {".jpg"}), "正常参考图.jpg")
+        with self.assertRaises(MODULE.ApiError):
+            MODULE.safe_file_name("image.exe", {".jpg", ".png"})
+
+    def test_oversized_request_is_rejected_before_reading_body(self) -> None:
+        handler = self.make_handler()
+        handler.headers = {"Content-Length": str(MODULE.MAX_REQUEST_BYTES + 1), "Content-Type": "application/json"}
+        handler.rfile = io.BytesIO(b"")
+        with self.assertRaises(MODULE.ApiError):
+            handler.read_json_body()
+
+    def test_large_tiff_upload_limits_allow_one_gibibyte_files(self) -> None:
+        self.assertEqual(MODULE.MAX_FILE_BYTES, 1024 * 1024 * 1024)
+        self.assertEqual(MODULE.MAX_REQUEST_BYTES, 3072 * 1024 * 1024)
+
+    def test_binary_change_upload_preserves_original_bytes(self) -> None:
+        with tempfile.TemporaryDirectory() as temp_dir:
+            handler = object.__new__(MODULE.WorkbenchConsoleHandler)
+            handler.directory = temp_dir
+            handler.path = "/api/change-detection/uploads/0123456789abcdef0123456789abcdef?role=before"
+            handler.headers = {"Content-Length": "13", "X-Upload-Name": "../1.tif"}
+            handler.rfile = io.BytesIO(b"raw-tif-bytes")
+            result = handler.receive_change_upload("/api/change-detection/uploads/0123456789abcdef0123456789abcdef")
+            staged = Path(temp_dir) / "shared" / "data" / "raw" / "00-change-detection" / "uploads" / result["uploadId"] / "before.tif"
+            self.assertEqual(staged.read_bytes(), b"raw-tif-bytes")
+            self.assertEqual(result["name"], "1.tif")
+
+    def test_binary_anomaly_upload_preserves_bytes_and_checksum(self) -> None:
+        with tempfile.TemporaryDirectory() as temp_dir:
+            handler = object.__new__(MODULE.WorkbenchConsoleHandler)
+            handler.directory = temp_dir
+            handler.path = "/api/anomaly-detection/uploads/1123456789abcdef0123456789abcdef?role=reference"
+            handler.headers = {"Content-Length": "15", "X-Upload-Name": "../normal.JPG"}
+            handler.rfile = io.BytesIO(b"reference-bytes")
+            result = handler.receive_anomaly_upload("/api/anomaly-detection/uploads/1123456789abcdef0123456789abcdef")
+            staged = Path(temp_dir) / "shared" / "data" / "raw" / "09-anomaly-detection" / "uploads" / result["uploadId"] / "reference.jpg"
+            self.assertEqual(staged.read_bytes(), b"reference-bytes")
+            self.assertEqual(result["sha256"], MODULE.file_sha256(staged))
+
+    def test_binary_anomaly_upload_decodes_chinese_file_name(self) -> None:
+        with tempfile.TemporaryDirectory() as temp_dir:
+            handler = object.__new__(MODULE.WorkbenchConsoleHandler)
+            handler.directory = temp_dir
+            handler.path = "/api/anomaly-detection/uploads/3123456789abcdef0123456789abcdef?role=input"
+            handler.headers = {"Content-Length": "11", "X-Upload-Name": quote("异常测试图.JPG", safe="")}
+            handler.rfile = io.BytesIO(b"image-bytes")
+            result = handler.receive_anomaly_upload("/api/anomaly-detection/uploads/3123456789abcdef0123456789abcdef")
+            staged = Path(temp_dir) / "shared" / "data" / "raw" / "09-anomaly-detection" / "uploads" / result["uploadId"] / "input.jpg"
+            self.assertEqual(result["name"], "异常测试图.jpg")
+            self.assertEqual(staged.read_bytes(), b"image-bytes")
+
+    def test_interrupted_anomaly_upload_removes_partial_file(self) -> None:
+        with tempfile.TemporaryDirectory() as temp_dir:
+            handler = object.__new__(MODULE.WorkbenchConsoleHandler)
+            handler.directory = temp_dir
+            handler.path = "/api/anomaly-detection/uploads/2123456789abcdef0123456789abcdef?role=input"
+            handler.headers = {"Content-Length": "20", "X-Upload-Name": "target.tif"}
+            handler.rfile = io.BytesIO(b"short")
+            with self.assertRaisesRegex(MODULE.ApiError, "ended before"):
+                handler.receive_anomaly_upload("/api/anomaly-detection/uploads/2123456789abcdef0123456789abcdef")
+            staging = Path(temp_dir) / "shared" / "data" / "raw" / "09-anomaly-detection" / "uploads" / "2123456789abcdef0123456789abcdef"
+            self.assertFalse(any(staging.glob("*.part")))
+
+    def test_anomaly_parameters_are_bounded(self) -> None:
+        self.assertEqual(MODULE.validate_anomaly_parameters({}), (256, 128, 0.995, 42))
+        with self.assertRaisesRegex(MODULE.ApiError, "Stride"):
+            MODULE.validate_anomaly_parameters({"tileSize": 128, "stride": 256})
+        with self.assertRaisesRegex(MODULE.ApiError, "quantile"):
+            MODULE.validate_anomaly_parameters({"thresholdQuantile": 1.0})
+
+    def test_anomaly_run_discovery_requires_exposed_raw_sources(self) -> None:
+        with tempfile.TemporaryDirectory() as temp_dir:
+            root = Path(temp_dir)
+            artifact = root / "shared" / "outputs" / "09-anomaly-detection" / "runs" / "anomaly-test"
+            raw_input = root / "shared" / "data" / "raw" / "09-anomaly-detection" / "runs" / "anomaly-test" / "input"
+            raw_reference = raw_input.parent / "reference"
+            artifact.mkdir(parents=True)
+            raw_input.mkdir(parents=True)
+            raw_reference.mkdir(parents=True)
+            (artifact / "target.comparison.overlay.png").write_bytes(b"png")
+            metadata = {"capability": "09-anomaly-detection", "created_at": "2026-08-18", "display_name": "五参考图边界案例", "case_note": "保留真实漏检结果。", "raw_input_dir": raw_input.relative_to(root).as_posix(), "raw_reference_dir": raw_reference.relative_to(root).as_posix(), "images": [{"overlay_file": "target.comparison.overlay.png"}]}
+            (artifact / "run_metadata.json").write_text(json.dumps(metadata), encoding="utf-8")
+            runs = MODULE.anomaly_runs(root)
+            self.assertEqual(runs[0]["id"], "anomaly-test")
+            self.assertEqual(runs[0]["label"], "五参考图边界案例")
+            self.assertEqual(runs[0]["note"], "保留真实漏检结果。")
+
+    def test_script_failure_becomes_a_useful_api_error(self) -> None:
+        handler = self.make_handler()
+        with self.assertRaisesRegex(MODULE.ApiError, "Processing failed"):
+            handler.run_command([sys.executable, "-c", "raise SystemExit(2)"], timeout=10)
+
+    def test_semantic_validation_run_is_discovered(self) -> None:
+        runs = MODULE.semantic_runs(ROOT)
+        self.assertTrue(any(item["id"] == "validation-20260817" for item in runs))
+
+    def test_spatial_measurement_run_is_discovered(self) -> None:
+        runs = MODULE.measurement_runs(ROOT)
+        validation = next(item for item in runs if item["id"] == "validation-normal-20260817-v4")
+        self.assertTrue(validation["artifactRoot"].startswith("shared/outputs/04-spatial-measurement/"))
+
+    def test_change_run_requires_both_allowlisted_images(self) -> None:
+        handler = self.make_handler()
+        with self.assertRaisesRegex(MODULE.ApiError, "name and Base64"):
+            handler.create_change_run({"files": {"before": {"name": "before.jpg", "content": "eA=="}}})
+
+    def test_change_threshold_is_validated(self) -> None:
+        handler = self.make_handler()
+        payload = {"files": {"before": {"name": "before.jpg", "content": "eA=="}, "after": {"name": "after.jpg", "content": "eA=="}}}
+        with self.assertRaisesRegex(MODULE.ApiError, "between 0.01 and 0.99"):
+            handler.create_change_run({**payload, "threshold": 1.0})
+        with self.assertRaisesRegex(MODULE.ApiError, "must be a number"):
+            handler.create_change_run({**payload, "threshold": "0.5"})
+
+    def test_change_resolution_is_validated(self) -> None:
+        handler = self.make_handler()
+        payload = {"files": {"before": {"name": "before.jpg", "content": "eA=="}, "after": {"name": "after.jpg", "content": "eA=="}}}
+        with self.assertRaisesRegex(MODULE.ApiError, "between 512 and 4096"):
+            handler.create_change_run({**payload, "maxDimension": 256})
+        with self.assertRaisesRegex(MODULE.ApiError, "must be an integer"):
+            handler.create_change_run({**payload, "maxDimension": "2048"})
+
+    def test_change_processing_mode_is_validated(self) -> None:
+        handler = self.make_handler()
+        payload = {"files": {"before": {"name": "before.jpg", "content": "eA=="}, "after": {"name": "after.jpg", "content": "eA=="}}}
+        with self.assertRaisesRegex(MODULE.ApiError, "auto, image, or geotiff"):
+            handler.create_change_run({**payload, "processingMode": "wrong"})
+
+    def test_change_validation_run_is_discovered_without_fake_crs(self) -> None:
+        runs = MODULE.change_runs(ROOT)
+        self.assertTrue(any(item["id"].startswith("validation-real-") for item in runs))
+
+    def test_semantic_task_catalog_only_enables_verified_baseline(self) -> None:
+        tasks = MODULE.semantic_tasks(ROOT)
+        self.assertEqual(len(tasks), 5)
+        selectable = [item["id"] for item in tasks if item.get("selectable") is True]
+        self.assertEqual(selectable, ["color_baseline"])
+        handler = self.make_handler()
+        with self.assertRaisesRegex(MODULE.ApiError, "not runnable yet"):
+            handler.create_semantic_run({"taskId": "drainage_blockage", "images": []})
 
     def test_blocks_repository_files_and_encoded_traversal(self) -> None:
         handler = self.make_handler()

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