mirror of
https://github.com/jxxghp/MoviePilot.git
synced 2026-06-02 07:26:46 +00:00
239 lines
8.5 KiB
Python
239 lines
8.5 KiB
Python
import asyncio
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import pickle
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from threading import RLock
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from unittest import TestCase
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from app.modules.themoviedb.tmdbv3api.tmdb import TMDb
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from app.modules.themoviedb.tmdbv3api.exceptions import TMDbException
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class _FakeResponse:
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def __init__(self, payload, headers: dict, status_code: int = 200, text: str = ""):
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self._payload = payload
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self.headers = headers
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self.status_code = status_code
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self.text = text
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self._lock = RLock()
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def json(self):
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return self._payload
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class _UnicodeDecodeErrorResponse:
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"""
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模拟 httpx.Response.json() 直接抛 UnicodeDecodeError 的异常响应。
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"""
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def __init__(self, content: bytes = b"\x8b", text: str = ""):
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"""
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初始化一个带有压缩响应特征的伪响应对象。
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"""
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self.headers = {"Content-Type": "application/json", "Content-Encoding": "gzip"}
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self.status_code = 200
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self.text = text
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self.content = content
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def json(self):
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"""
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模拟 httpx.Response.json() 在遇到错误编码响应时直接抛出 UnicodeDecodeError。
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"""
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raise UnicodeDecodeError("utf-8", b"\x8b", 1, 2, "invalid start byte")
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class TmdbResponseCacheTest(TestCase):
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def test_request_returns_pickleable_snapshot(self):
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tmdb = TMDb()
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response = _FakeResponse(
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payload={"id": 1, "page": 2},
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headers={"X-RateLimit-Remaining": "39", "X-RateLimit-Reset": "1234567890"},
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)
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tmdb._req.get_res = lambda *args, **kwargs: response
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result = TMDb.request.__wrapped__(tmdb, "GET", "https://example.com", None, None)
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self.assertTrue(result[TMDb._RESPONSE_SNAPSHOT_MARKER])
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self.assertEqual(result["json"], {"id": 1, "page": 2})
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self.assertEqual(result["headers"]["X-RateLimit-Remaining"], "39")
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pickle.dumps(result)
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def test_request_rejects_scalar_json_response(self):
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"""
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标量JSON响应不应进入TMDB响应缓存，避免后续按对象解析崩溃。
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"""
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tmdb = TMDb()
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response = _FakeResponse(payload="upstream error", headers={})
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tmdb._req.get_res = lambda *args, **kwargs: response
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with self.assertRaisesRegex(TMDbException, "返回数据格式异常"):
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TMDb.request.__wrapped__(tmdb, "GET", "https://example.com", None, None)
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def test_request_rejects_invalid_json_response(self):
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"""
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非JSON响应应转换为TMDbException，调用方可按连接异常统一处理。
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"""
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class _InvalidJsonResponse:
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headers = {"Content-Type": "text/html"}
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status_code = 502
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text = "<html>bad gateway</html>"
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def json(self):
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"""
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模拟上游返回无法解析为JSON的响应体。
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"""
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raise ValueError("invalid json")
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tmdb = TMDb()
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tmdb._req.get_res = lambda *args, **kwargs: _InvalidJsonResponse()
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with self.assertRaisesRegex(TMDbException, "不是有效JSON.*HTTP状态码：502.*bad gateway"):
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TMDb.request.__wrapped__(tmdb, "GET", "https://example.com", None, None)
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def test_request_rejects_unicode_decode_error_response(self):
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"""
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错误编码的响应体也应转换为TMDbException，避免UnicodeDecodeError直接冒泡。
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"""
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tmdb = TMDb()
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tmdb._req.get_res = lambda *args, **kwargs: _UnicodeDecodeErrorResponse(
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text="乱码内容不应进入日志"
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)
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with self.assertRaisesRegex(
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TMDbException,
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"不是有效JSON.*Content-Encoding：gzip.*响应内容编码异常，已省略原始内容",
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) as cm:
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TMDb.request.__wrapped__(tmdb, "GET", "https://example.com", None, None)
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self.assertNotIn("乱码内容", str(cm.exception))
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def test_get_response_json_rejects_invalid_live_response(self):
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"""
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未缓存的实时响应解析失败时也应输出统一诊断信息。
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"""
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class _InvalidJsonResponse:
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headers = {}
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status_code = 200
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text = ""
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def json(self):
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"""
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模拟HTTP 200但响应体为空的情况。
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"""
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raise ValueError("empty")
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with self.assertRaisesRegex(TMDbException, "不是有效JSON.*响应内容为空"):
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TMDb._get_response_json(_InvalidJsonResponse())
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def test_async_request_returns_pickleable_snapshot(self):
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tmdb = TMDb()
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response = _FakeResponse(
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payload={"id": 2, "page": 3},
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headers={"x-ratelimit-remaining": "38", "x-ratelimit-reset": "1234567891"},
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)
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async def _fake_get_res(*args, **kwargs):
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return response
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tmdb._async_req.get_res = _fake_get_res
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result = asyncio.run(
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TMDb.async_request.__wrapped__(tmdb, "GET", "https://example.com", None, None)
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)
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self.assertTrue(result[TMDb._RESPONSE_SNAPSHOT_MARKER])
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self.assertEqual(result["json"], {"id": 2, "page": 3})
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self.assertEqual(result["headers"]["x-ratelimit-remaining"], "38")
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pickle.dumps(result)
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def test_handle_headers_accepts_snapshot_headers(self):
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tmdb = TMDb()
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tmdb._handle_headers({"x-ratelimit-remaining": "7", "x-ratelimit-reset": "99"})
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self.assertEqual(tmdb._remaining, 7)
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self.assertEqual(tmdb._reset, 99)
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def test_get_response_json_returns_snapshot_copy(self):
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snapshot = {
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TMDb._RESPONSE_SNAPSHOT_MARKER: True,
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"headers": {},
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"json": {
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"results": [
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{"id": 1, "media_type": "movie"},
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{"id": 2, "media_type": "tv"},
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]
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},
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}
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first_json = TMDb._get_response_json(snapshot)
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first_json["results"][0]["media_type"] = "电影"
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second_json = TMDb._get_response_json(snapshot)
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self.assertEqual(second_json["results"][0]["media_type"], "movie")
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self.assertIsNot(first_json, second_json)
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self.assertIsNot(first_json["results"][0], second_json["results"][0])
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def test_async_request_obj_returns_copied_key_from_snapshot(self):
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tmdb = TMDb()
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snapshot = {
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TMDb._RESPONSE_SNAPSHOT_MARKER: True,
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"headers": {"x-ratelimit-remaining": "39", "x-ratelimit-reset": "1234567890"},
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"json": {
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"page": 1,
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"results": [
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{"id": 1, "media_type": "movie"},
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{"id": 2, "media_type": "tv"},
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],
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},
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}
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async def _fake_async_request(*args, **kwargs):
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return snapshot
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tmdb.async_request = _fake_async_request
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first_results = asyncio.run(tmdb._async_request_obj("/search/multi", key="results"))
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first_results[0]["media_type"] = "电影"
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second_results = asyncio.run(tmdb._async_request_obj("/search/multi", key="results"))
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self.assertEqual(second_results[0]["media_type"], "movie")
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self.assertIsNot(first_results, second_results)
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self.assertIsNot(first_results[0], second_results[0])
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def test_request_obj_rejects_scalar_snapshot_before_key_lookup(self):
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"""
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旧缓存中的标量快照不应在读取results字段时触发AttributeError。
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"""
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tmdb = TMDb()
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snapshot = {
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TMDb._RESPONSE_SNAPSHOT_MARKER: True,
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"headers": {"x-ratelimit-remaining": "39", "x-ratelimit-reset": "1234567890"},
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"json": "upstream error",
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}
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tmdb.request = lambda *args, **kwargs: snapshot
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with self.assertRaisesRegex(TMDbException, "返回数据格式异常"):
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tmdb._request_obj("/search/movie", key="results")
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def test_async_request_obj_rejects_scalar_snapshot_before_key_lookup(self):
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"""
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异步对象请求读取旧标量快照时也应走统一TMDB异常路径。
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"""
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tmdb = TMDb()
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snapshot = {
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TMDb._RESPONSE_SNAPSHOT_MARKER: True,
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"headers": {"x-ratelimit-remaining": "39", "x-ratelimit-reset": "1234567890"},
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"json": "upstream error",
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}
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async def _fake_async_request(*args, **kwargs):
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"""
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模拟异步请求命中已缓存的异常快照。
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"""
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return snapshot
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tmdb.async_request = _fake_async_request
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with self.assertRaisesRegex(TMDbException, "返回数据格式异常"):
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asyncio.run(tmdb._async_request_obj("/search/movie", key="results"))
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