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https://ghfast.top/https://github.com/aeroxw/tick-stock-panel.git
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CJohn
e526d25fd0
- 在 Pillow 完整解码前检查图片像素数，并将 DecompressionBombError 转为明确的参数错误，避免压缩大图在校验前占用过多内存 - 为 OCR 线程任务设置独立的 AnyIO CapacityLimiter(2)，最多同时执行 两次图片解码与 Tesseract 识别，其余请求排队等待 - 前端调用 ocr-status 检查 Tesseract 是否可用；不可用时禁用截图导入 入口，并按 Windows、macOS 和 Linux 显示对应安装说明 - 关闭弹窗或重新选择图片时取消旧请求，并通过请求代次校验忽略迟到 的异步结果，防止旧候选回写到新弹窗 - 禁用已存在于自选列表中的候选项，批量添加接口返回实际净新增数量， 成功提示使用后端返回值 - 补充图片类型与大小校验、解压炸弹、OCR 状态、并发限制以及批量添加 数量等测试
275 lines
8.5 KiB
Python
275 lines
8.5 KiB
Python
"""自选截图 OCR：代码抽取、预处理、API 门禁与并发限制（不依赖本机 tesseract）。"""
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from __future__ import annotations
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import threading
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import time
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from io import BytesIO
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from pathlib import Path
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from unittest.mock import AsyncMock, MagicMock
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import anyio
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import polars as pl
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import pytest
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from fastapi import HTTPException
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from PIL import Image
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from app.api import watchlist as watchlist_api
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from app.api.watchlist import BatchAddRequest, add_batch, import_from_image, ocr_status
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from app.config import settings
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from app.services import watchlist
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from app.services.watchlist_ocr.pipeline import (
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extract_codes,
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import_watchlist_image,
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resolve_candidates,
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)
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from app.services.watchlist_ocr.provider import OcrProvider, preprocess_for_ocr
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class _FakeOcr(OcrProvider):
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name = "fake"
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def __init__(self, text: str, *, available: bool = True) -> None:
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self._text = text
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self._available = available
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def available(self) -> bool:
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return self._available
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def extract_text(self, image_bytes: bytes) -> str:
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return self._text
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def _png_bytes(width: int, height: int) -> bytes:
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buf = BytesIO()
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Image.new("RGB", (width, height), color=(20, 20, 20)).save(buf, format="PNG")
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return buf.getvalue()
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def _mock_upload(
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*,
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content: bytes = b"img",
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content_type: str = "image/png",
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filename: str = "shot.png",
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) -> MagicMock:
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file = MagicMock()
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file.content_type = content_type
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file.filename = filename
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file.read = AsyncMock(return_value=content)
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return file
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def _mock_request(data_dir: Path) -> MagicMock:
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request = MagicMock()
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request.app.state.repo.store.data_dir = data_dir
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request.app.state.repo.get_name_map = lambda _symbols: {}
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return request
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def test_extract_codes_order_and_dedupe():
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text = "563230 融\n515880\n价格 1.340\n563230 重复\nXAUUSD\n601636"
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assert extract_codes(text) == ["563230", "515880", "601636"]
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def test_extract_codes_joins_ocr_split():
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text = "科创半导体\n5881 70 [融]\n创业板\n159382"
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assert extract_codes(text) == ["588170", "159382"]
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def test_resolve_candidates_matched_and_unmatched():
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code_to_symbol = {"600036": "600036.SH", "515880": "515880.SH"}
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symbol_to_name = {"600036.SH": "招商银行", "515880.SH": "通信ETF国泰"}
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rows = resolve_candidates(
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["600036", "999999", "515880"],
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code_to_symbol,
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symbol_to_name,
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existing_symbols={"600036.SH"},
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)
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assert rows[0].matched and rows[0].already_in_watchlist
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assert rows[0].name == "招商银行"
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assert not rows[1].matched and rows[1].symbol is None
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assert rows[2].matched and not rows[2].already_in_watchlist
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def test_import_watchlist_image_with_fake_ocr(tmp_path: Path):
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inst = tmp_path / "instruments"
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inst.mkdir()
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pl.DataFrame(
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{
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"code": ["600036", "515880"],
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"symbol": ["600036.SH", "515880.SH"],
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"name": ["招商银行", "通信ETF国泰"],
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}
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).write_parquet(inst / "instruments.parquet")
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fake_text = "招商银行\n600036\n通信ETF\n515880\n伦敦金 XAUUSD"
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result = import_watchlist_image(
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b"fake-bytes",
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tmp_path,
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existing_symbols=set(),
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provider=_FakeOcr(fake_text),
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)
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assert result["provider"] == "fake"
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assert result["codes"] == ["600036", "515880"]
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assert result["matched_count"] == 2
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assert result["unmatched_count"] == 0
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def test_import_unavailable_mentions_windows():
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with pytest.raises(RuntimeError, match="Windows|choco|UB Mannheim"):
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import_watchlist_image(
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b"x",
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Path("/tmp"),
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provider=_FakeOcr("", available=False),
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)
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def test_preprocess_rejects_excessive_pixels_before_load(monkeypatch):
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"""超限图应在完整解码前拒绝，避免 load() 造成 OOM。"""
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loaded = {"called": False}
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real_open = Image.open
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def open_tracking(fp, *args, **kwargs):
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img = real_open(fp, *args, **kwargs)
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original_load = img.load
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def load_tracking(*a, **k):
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loaded["called"] = True
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return original_load(*a, **k)
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img.load = load_tracking # type: ignore[method-assign]
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return img
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monkeypatch.setattr(Image, "open", open_tracking)
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# 4000×8000 = 32M 像素 > 12M 上限
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with pytest.raises(ValueError, match="分辨率过高"):
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preprocess_for_ocr(_png_bytes(4000, 8000))
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assert loaded["called"] is False
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def test_preprocess_maps_decompression_bomb_to_value_error(monkeypatch):
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class _BombImg:
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width = 100
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height = 100
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def load(self):
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raise Image.DecompressionBombError("bomb")
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monkeypatch.setattr(Image, "open", lambda *_a, **_k: _BombImg())
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with pytest.raises(ValueError, match="分辨率过高"):
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preprocess_for_ocr(b"fake")
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def test_preprocess_downsamples_large_edge():
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# 2500×1000 = 2.5M 像素未超限，但长边 > 2000，应降采样
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out = preprocess_for_ocr(_png_bytes(2500, 1000))
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assert max(out.size) <= 2000
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def test_ocr_status_reflects_provider(monkeypatch):
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monkeypatch.setattr(
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watchlist_api,
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"get_ocr_provider",
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lambda: _FakeOcr("", available=True),
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)
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assert ocr_status() == {"provider": "fake", "available": True}
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monkeypatch.setattr(
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watchlist_api,
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"get_ocr_provider",
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lambda: _FakeOcr("", available=False),
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)
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assert ocr_status() == {"provider": "fake", "available": False}
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@pytest.mark.asyncio
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async def test_import_image_rejects_bad_mime(tmp_path: Path):
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request = _mock_request(tmp_path)
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file = _mock_upload(content_type="image/svg+xml", filename="x.svg")
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with pytest.raises(HTTPException) as ei:
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await import_from_image(request, file)
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assert ei.value.status_code == 400
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assert "仅支持" in str(ei.value.detail)
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@pytest.mark.asyncio
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async def test_import_image_rejects_oversized_bytes(tmp_path: Path):
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request = _mock_request(tmp_path)
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huge = b"x" * (12 * 1024 * 1024 + 1)
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file = _mock_upload(content=huge)
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with pytest.raises(HTTPException) as ei:
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await import_from_image(request, file)
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assert ei.value.status_code == 400
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assert "过大" in str(ei.value.detail)
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@pytest.mark.asyncio
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async def test_import_image_maps_value_error_to_400(tmp_path: Path, monkeypatch):
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request = _mock_request(tmp_path)
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monkeypatch.setattr(watchlist, "list_symbols", lambda: [])
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def boom(*_a, **_k):
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raise ValueError("图片分辨率过高,请裁剪后重试")
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monkeypatch.setattr(watchlist_api, "import_watchlist_image", boom)
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file = _mock_upload(content=_png_bytes(64, 64))
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with pytest.raises(HTTPException) as ei:
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await import_from_image(request, file)
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assert ei.value.status_code == 400
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assert "分辨率过高" in str(ei.value.detail)
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@pytest.mark.asyncio
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async def test_ocr_limiter_caps_concurrency(tmp_path: Path, monkeypatch):
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"""第三路 OCR 应排队，同时进入同步 OCR 的不超过 2。"""
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current = 0
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max_seen = 0
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lock = threading.Lock()
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def slow_import(*_a, **_k):
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nonlocal current, max_seen
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with lock:
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current += 1
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max_seen = max(max_seen, current)
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time.sleep(0.15)
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with lock:
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current -= 1
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return {
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"provider": "fake",
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"candidates": [],
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"codes": [],
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"matched_count": 0,
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"unmatched_count": 0,
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"raw_text": "",
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}
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monkeypatch.setattr(watchlist_api, "import_watchlist_image", slow_import)
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monkeypatch.setattr(watchlist, "list_symbols", lambda: [])
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# 使用独立 limiter，避免与其它用例共享状态
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monkeypatch.setattr(watchlist_api, "_OCR_LIMITER", anyio.CapacityLimiter(2))
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request = _mock_request(tmp_path)
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async def one():
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file = _mock_upload(content=_png_bytes(64, 64))
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return await import_from_image(request, file)
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async with anyio.create_task_group() as tg:
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for _ in range(3):
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tg.start_soon(one)
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assert max_seen <= 2
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assert max_seen >= 1
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def test_add_batch_reports_net_new(monkeypatch, tmp_path: Path):
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monkeypatch.setattr(settings, "data_dir", tmp_path)
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watchlist.add("600036.SH")
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request = _mock_request(tmp_path)
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result = add_batch(
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BatchAddRequest(symbols=["600036.SH", "515880.SH", "000001.SZ"]),
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request,
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)
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assert result["added"] == 2
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symbols = {r["symbol"] for r in result["symbols"]}
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assert symbols == {"600036.SH", "515880.SH", "000001.SZ"}
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