From 1eda3a64b804d69cdccf070300b9f53c018e9e64 Mon Sep 17 00:00:00 2001 From: Admireux <1071526655@qq.com> Date: Sat, 31 Oct 2026 16:41:15 +0800 Subject: [PATCH 1/5] =?UTF-8?q?=E5=AE=9E=E7=8E=B0=E5=9B=BE=E7=89=87?= =?UTF-8?q?=E9=99=84=E4=BB=B6=E7=9A=84=E6=96=87=E5=AD=97=E8=AF=86=E5=88=AB?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- crawler/pyproject.toml | 4 + crawler/src/crawler/parse/__init__.py | 0 crawler/src/crawler/parse/image.py | 31 ++ crawler/src/crawler/parse/image_test.py | 24 ++ crawler/uv.lock | 442 ++++++++++++++++++++++++ docs/design.md | 4 +- 6 files changed, 504 insertions(+), 1 deletion(-) create mode 100644 crawler/src/crawler/parse/__init__.py create mode 100644 crawler/src/crawler/parse/image.py create mode 100644 crawler/src/crawler/parse/image_test.py diff --git a/crawler/pyproject.toml b/crawler/pyproject.toml index 76ad4c5..c4058c4 100644 --- a/crawler/pyproject.toml +++ b/crawler/pyproject.toml @@ -5,12 +5,16 @@ description = "鼠钟的抓取节点：抓取、初筛和抽取" requires-python = ">=3.14" dependencies = [ "httpx>=0.28", + "onnxruntime>=1.31.1", + "psutil>=7.2.2", "pydantic>=2.14.1", + "rapidocr>=3.10.0", ] [dependency-groups] dev = [ "datamodel-code-generator>=0.86.0", + "pillow>=13.0.0", "pyright>=1.1.400", "pytest>=9.1", "ruff>=0.17", diff --git a/crawler/src/crawler/parse/__init__.py b/crawler/src/crawler/parse/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/crawler/src/crawler/parse/image.py b/crawler/src/crawler/parse/image.py new file mode 100644 index 0000000..e62f959 --- /dev/null +++ b/crawler/src/crawler/parse/image.py @@ -0,0 +1,31 @@ +"""Read text from image attachments.""" + +import logging +import threading +import time + +import psutil +from rapidocr import RapidOCR +from rapidocr.utils.output import RapidOCROutput + +logger = logging.getLogger(__name__) +_lock = threading.Lock() +_engine: RapidOCR | None = None +_process = psutil.Process() + + +def image_text(data: bytes) -> str: + """Return recognized lines in reading order, with one OCR call at a time.""" + global _engine + + with _lock: + start = time.perf_counter() + if _engine is None: + _engine = RapidOCR() + result = _engine(data) + if not isinstance(result, RapidOCROutput): + raise TypeError("OCR did not return recognized text") + elapsed_ms = round((time.perf_counter() - start) * 1000) + rss_mib = round(_process.memory_info().rss / 1024**2) + logger.info("Image OCR completed", extra={"duration_ms": elapsed_ms, "rss_mib": rss_mib}) + return "\n".join(result.txts or []) diff --git a/crawler/src/crawler/parse/image_test.py b/crawler/src/crawler/parse/image_test.py new file mode 100644 index 0000000..49b83d0 --- /dev/null +++ b/crawler/src/crawler/parse/image_test.py @@ -0,0 +1,24 @@ +"""OCR a generated attachment, without storing real notices in the repository.""" + +import io + +from PIL import Image, ImageDraw, ImageFont + +from crawler.parse.image import image_text + + +def test_image_text_reads_generated_attachment() -> None: + image = Image.new("RGB", (1600, 500), "white") + draw = ImageDraw.Draw(image) + font = ImageFont.load_default(size=52) + draw.text((60, 50), "APPLICATION FORM 2027", fill="black", font=font) + draw.text((60, 160), "DEADLINE 2027-08-10 17:00", fill="black", font=font) + draw.text((60, 270), "SEND THE FORM BEFORE DEADLINE", fill="black", font=font) + buffer = io.BytesIO() + image.save(buffer, format="PNG") + + text = image_text(buffer.getvalue()) + + assert "APPLICATION FORM 2027" in text + assert "2027-08-10 17:00" in text + assert "SEND THE FORM BEFORE DEADLINE" in text diff --git a/crawler/uv.lock b/crawler/uv.lock index f1660c4..f451106 100644 --- a/crawler/uv.lock +++ b/crawler/uv.lock @@ -74,6 +74,100 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/32/d1/a3652fe2c19134d0d15922177821d863cbd7e842d53a21bbe7e8e3a1b5ac/certifi-2026.10.23-py3-none-any.whl", hash = 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Code 的 Pylance 是同一个引擎，编辑器里看到的错误和 CI 一致 | | 抓取 | httpx（异步）请求网页，Playwright 驱动浏览器（Chromium 的无头精简版），lxml 按 CSS 或 XPath 取出列表 | 各自领域的主流库 | -| 正文、附件和文字识别 | 候选：trafilatura 取正文，pypdf 或 pdfplumber 读 PDF，python-docx 和 openpyxl 读 Office，RapidOCR 识别文字 | 都关在 `parse` 模块里，换了不影响别处；在[读正文和附件](https://github.com/mousebaoyan/mouseclock/issues/40)和[文字识别](https://github.com/mousebaoyan/mouseclock/issues/47)的任务里用真实的附件比较后定。不用 AGPL 许可的 PyMuPDF | +| 正文、附件和文字识别 | 图片用 RapidOCR（PP-OCRv6 small，ONNX Runtime）识别文字；正文和其他附件的候选库：trafilatura、pypdf 或 pdfplumber、python-docx、openpyxl | 都关在 `parse` 模块里，换了不影响别处；图片的试验见第 5.2 节，其余在[读正文和附件](https://github.com/mousebaoyan/mouseclock/issues/40)里比较后定。扫描 PDF 跟随该任务选定的渲染库；不用 AGPL 许可的 PyMuPDF | | 接口的类型 | 网站用 Zod 写接口的定义，生成 OpenAPI 文档；抓取节点从这份文档生成 Pydantic 模型 | 两边语言不同，接口的类型也只有一个来源。抓取节点用 Pydantic 校验网站的返回和模型的输出 | | 判别接口和 LLM | 实验后定（第 8.5 节） | | @@ -109,6 +109,8 @@ CPU 不是问题，要省的是带宽，做法见第 14 节。 **文字识别**：RapidOCR（PP-OCRv6）识别一张 20 行的中文页面约 1 秒，进程峰值约 690MB；抓取节点只有 4 核，会慢几倍。 +在 Windows、Python 3.14.5 上用 RapidOCR 3.10.0、ONNX Runtime 1.31.1 复测：Pillow 生成 1700×2100 的 21 行中文图片，识别出 21 行，3 种测试句子均原样识别；同一个实例首次调用 3.49 秒，重复调用 1.42 秒。另试一张本地图片，识别出 23 行。三次调用期间每 10 毫秒采样一次进程 RSS，峰值约 762 MiB；没有把图片或识别正文存进仓库。这些是开发机数据，抓取节点上的速度和内存仍需实测。 + 抓取节点同时开 2 个浏览器页面、一次识别一张图，峰值约 1.4GB，3.6GB 内存够用（第 16 节）。 ## 6. 账号与权限 From 8257c534a96626d8d817cafe647e062a6f424b0e Mon Sep 17 00:00:00 2001 From: Admireux <1071526655@qq.com> Date: Sat, 31 Oct 2026 19:26:45 +0800 Subject: [PATCH 2/5] =?UTF-8?q?=E8=A1=A5=E5=85=85=E5=9B=BE=E7=89=87?= =?UTF-8?q?=E8=AF=86=E5=88=AB=E6=95=88=E6=9E=9C=E6=A0=B7=E4=BE=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- crawler/examples/ocr/README.md | 10 ++++++++++ crawler/examples/ocr/input.png | Bin 0 -> 43221 bytes crawler/examples/ocr/output.txt | 3 +++ crawler/examples/ocr/test-output.txt | 23 +++++++++++++++++++++++ crawler/examples/ocr/test.jpg | Bin 0 -> 187026 bytes crawler/src/crawler/parse/image_test.py | 19 +++++++++++++++++++ docs/design.md | 2 +- 7 files changed, 56 insertions(+), 1 deletion(-) create mode 100644 crawler/examples/ocr/README.md create mode 100644 crawler/examples/ocr/input.png create mode 100644 crawler/examples/ocr/output.txt create mode 100644 crawler/examples/ocr/test-output.txt create mode 100644 crawler/examples/ocr/test.jpg diff --git a/crawler/examples/ocr/README.md b/crawler/examples/ocr/README.md new file mode 100644 index 0000000..f1d0c9e --- /dev/null +++ b/crawler/examples/ocr/README.md @@ -0,0 +1,10 @@ +# 图片文字识别示例 + +- `input.png`：用 Pillow 绘制的三行合成中文图片；`output.txt` 是 RapidOCR 的完整输出。 +- `test.jpg`：一页通知图片；`test-output.txt` 是图片识别函数的完整输出，未人工修正。 + +在 `crawler/` 目录运行下面的命令，可以重新生成 `test-output.txt`： + +```powershell +uv run python -c "from pathlib import Path; from crawler.parse.image import image_text; image = Path('examples/ocr/test.jpg'); Path('examples/ocr/test-output.txt').write_text(image_text(image.read_bytes()) + chr(10), encoding='utf-8')" +``` diff --git a/crawler/examples/ocr/input.png 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z)P4xgxL>IUID4kdo-!3o)%iVB(4%-cWp@}FNc@V}1%4mfJ13`xL5BU&loqwMq0!~Q{U!XRg{VhV1c|7)WX;mw>Z zC<|K62jJ59=kZ_fL6u None: assert "APPLICATION FORM 2027" in text assert "2027-08-10 17:00" in text assert "SEND THE FORM BEFORE DEADLINE" in text + + +def test_image_text_reads_chinese_example() -> None: + example = Path(__file__).parents[3] / "examples" / "ocr" + + text = image_text((example / "input.png").read_bytes()) + + assert "2027年夏令营报名通知" in text + assert "报名时间" in text + assert "7月6日10:00至8月10日17:00" in text + assert "请填写报名表和个人陈述" in text + + +def test_image_text_returns_empty_for_blank_image() -> None: + buffer = io.BytesIO() + Image.new("RGB", (600, 300), "white").save(buffer, format="PNG") + + assert image_text(buffer.getvalue()) == "" diff --git a/docs/design.md b/docs/design.md index 0eb68ee..50b726a 100644 --- a/docs/design.md +++ b/docs/design.md @@ -109,7 +109,7 @@ CPU 不是问题，要省的是带宽，做法见第 14 节。 **文字识别**：RapidOCR（PP-OCRv6）识别一张 20 行的中文页面约 1 秒，进程峰值约 690MB；抓取节点只有 4 核，会慢几倍。 -在 Windows、Python 3.14.5 上用 RapidOCR 3.10.0、ONNX Runtime 1.31.1 复测：Pillow 生成 1700×2100 的 21 行中文图片，识别出 21 行，3 种测试句子均原样识别；同一个实例首次调用 3.49 秒，重复调用 1.42 秒。另试一张本地图片，识别出 23 行。三次调用期间每 10 毫秒采样一次进程 RSS，峰值约 762 MiB；没有把图片或识别正文存进仓库。这些是开发机数据，抓取节点上的速度和内存仍需实测。 +在 Windows、Python 3.14.5 上用 RapidOCR 3.10.0、ONNX Runtime 1.31.1 复测：Pillow 生成 1700×2100 的 21 行中文图片，识别出 21 行，3 种测试句子均原样识别；同一个实例首次调用 3.49 秒，重复调用 1.42 秒。另试一张图片，识别出 23 行。三次调用期间每 10 毫秒采样一次进程 RSS，峰值约 762 MiB。这些是开发机数据，抓取节点上的速度和内存仍需实测。 抓取节点同时开 2 个浏览器页面、一次识别一张图，峰值约 1.4GB，3.6GB 内存够用（第 16 节）。 From 27cf2e97c7e2a20a7a2172f6517fcb89a7de37fc Mon Sep 17 00:00:00 2001 From: Admireux <1071526655@qq.com> Date: Thu, 12 Nov 2026 23:19:17 +0800 Subject: [PATCH 3/5] =?UTF-8?q?=E6=AF=94=E8=BE=83=E5=B9=B6=E9=80=89?= =?UTF-8?q?=E5=AE=9A=E5=9B=BE=E7=89=87=E6=96=87=E5=AD=97=E8=AF=86=E5=88=AB?= =?UTF-8?q?=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 用真实附件比较 PP-OCRv6 三档模型并选 small - 删除真实通知示例，测试改为现场生成 - 在构建阶段准备模型，运行和测试保持离线 --- .github/workflows/ci.yml | 1 + crawler/examples/ocr/README.md | 10 -- crawler/examples/ocr/input.png | Bin 43221 -> 0 bytes crawler/examples/ocr/output.txt | 3 - crawler/examples/ocr/test-output.txt | 23 ----- crawler/examples/ocr/test.jpg | Bin 187026 -> 0 bytes crawler/ocr-models.yaml | 23 +++++ crawler/src/crawler/parse/NotoSansSC-OFL.txt | 93 ++++++++++++++++++ crawler/src/crawler/parse/NotoSansSC-test.ttf | Bin 0 -> 37284 bytes crawler/src/crawler/parse/image.py | 24 ++++- crawler/src/crawler/parse/image_test.py | 19 ++-- docs/design.md | 25 +++-- 12 files changed, 171 insertions(+), 50 deletions(-) delete mode 100644 crawler/examples/ocr/README.md delete mode 100644 crawler/examples/ocr/input.png delete mode 100644 crawler/examples/ocr/output.txt delete mode 100644 crawler/examples/ocr/test-output.txt delete mode 100644 crawler/examples/ocr/test.jpg create mode 100644 crawler/ocr-models.yaml create mode 100644 crawler/src/crawler/parse/NotoSansSC-OFL.txt create mode 100644 crawler/src/crawler/parse/NotoSansSC-test.ttf diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index bb6f939..2b6dc5f 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -61,4 +61,5 @@ jobs: - uses: astral-sh/setup-uv@07a047e608db84b3d8c06cd9a7c7dcc9c355c18e # v10.3.2 with: working-directory: crawler + - run: cd crawler && uv sync --locked && uv run rapidocr download_models --config ocr-models.yaml - run: crawler/check.sh diff --git a/crawler/examples/ocr/README.md b/crawler/examples/ocr/README.md deleted file mode 100644 index f1d0c9e..0000000 --- a/crawler/examples/ocr/README.md +++ /dev/null @@ -1,10 +0,0 @@ -# 图片文字识别示例 - -- `input.png`：用 Pillow 绘制的三行合成中文图片；`output.txt` 是 RapidOCR 的完整输出。 -- `test.jpg`：一页通知图片；`test-output.txt` 是图片识别函数的完整输出，未人工修正。 - -在 `crawler/` 目录运行下面的命令，可以重新生成 `test-output.txt`： - -```powershell -uv run python -c "from pathlib import Path; from crawler.parse.image import image_text; image = Path('examples/ocr/test.jpg'); Path('examples/ocr/test-output.txt').write_text(image_text(image.read_bytes()) + chr(10), encoding='utf-8')" -``` diff --git a/crawler/examples/ocr/input.png b/crawler/examples/ocr/input.png deleted file mode 100644 index cfcdb4d8ec64a5e09698369de88b23c061b63957..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 43221 zcmeFZbySyY+b!x^ij74HsDJ@VDiR6^7D@^NQWA=Er+}0N3JB6jqm;CSbSxDl6zMKS zy7|$4=HvRlv-dfB?=jB#|8>0MU9P3T@44?Q=A75O9(UPWH_3O??cTCw3%R)1b-68D zw#RPS^7pNsf8)Ps9G`i!Wy||;@#|Lt8jI)h0Q~Un?{g%3YpN0SZ?PaE&tN-;MT^Yx>{`*_XryutJ z`#ag4|M`pmIi5c!@SmXgEIeG6Yt~yGaHcUqCQ7~Vq0`EoyDjbGN5aCwI^TjOdP_Hh zIPM-3asJ*(MjY9hYi&Cs+Hy=fXNPKS$J^?YmC~=e?!M%>cEfj!-S;m1Dy?(t#2K*s$q+eh*Y8si751Alw9c;w~f z^%OgNdzNZBP|a)H=99~BMSEWN`||8iu5r6u%nh%Ok4C+D7AMFf=f1qyA0c4VQS6ZG z!-U^R2$yNPTe?w|-zgTE z$bi`=QqL0&(l9E~`4SbwY^|x!-O~rad z*wL;o`ig-+2lKaJE=|*(qBB&x{uCz0a>`>1#ZId&RaJ?S!JGr%f@=fWg5SQq|0DdO 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zcGu#?X7itNb4?|ZzZ|K*bEoR~;f))?G&0O=6L{|qT#-iVU8bPuEPTmC7&Y-ekBE~ z4@ZZIUFB});G}O}^1#@HR}i0pQRYf!y!RTi;B5O;=#t!xOEee{D=}7!=9@q?3blr4 zi4=4ok3N4K;K9`=k;~FI@7%dFS0C!`K%{quKQw?;(rOgaF#c?+wMez3>gKgG2g{y4 zQz~N(85=eMnVA}Dy;xDfFjXz)mu`QGS*_reZ`FgO1RI#d&!-x=5=3UQ<)Yv?3upFYqj~ITXeuq`-)uq~KGJ z+f`yA?Rs<*Ow(Do|3VlaICA;ct;*vE)6(wUTmEKk{J#j}q;MOorHzeNhAA&!m;fWNZ0=lX@T?px zVVsyK=YmI?;zcSK=NGBx#p}}YV6)!6RwEw6?2(nPTb%#JZ;J}Iu3NXYu&^+fV9cnG zGhPvv^PYnwf;>He3R&fdQLO}4n-i}L?St{9>*b<_gu;x~D8;Yp|9>QmZ7n~XC@+Wc zrOxc)`fKDHgt7Zy3FA+;ZTsX?KVi&;6(>L#e=tiJ(?2JSDaWwYI_7lJL}W%1jQI&Q z7W!lf<8*_>{h}3I*E6U1oivs(<^dUPc{uZ$FlO^=h1P9<&tO;(?Rg6@UZ5p_v5S_7 z-vW&Db65NGDgYR7k8{m*k(tF&@WrrlvV5`A=>%UajD%E5xxmF0yegep9chtsR`s$v zQjOYHA~a*-)J$oNMx(}5O6!dU0q~zLFzWp|mqET4Wkbtg!;%fLu@RK{$79EiovD3J z$#K(h4xt`p{b&xRg8phC9H0fl`mmd75PVrZ|lYO${Wp{eQRPuirKmT zfL_c-Tr!KL_EdR!`GpP#txkA4;t_}mH3DqjgV5Bq9R& z3h`7e&B$1qh+mL;O{Mx7FR!2gE#CGNC2z33JtZZ|YwrMYckKqt>4Xn%VR*1o`NlNIT4qt(}u(nqtL#a-S%JfZk_Q>GqR4 zLk=$ccnT^~=rbzVnyP9xMCWW|K-)$;+~`2`<`w^Y1541aMLRHwjs> z-0iTyq2NJdLqjbr)ek^_lDR`|T$~o!tzm*Oc0YIS_Mk5sBiKaubTfpkc7`Uy*t?6^4y8u-UOA18mc;Z@?_Tbes0ZA%}A)7SDX zMb^xqxW)8FZah^6kMlBiPmYJE15_F3cidw5G`$_Z30xnh_9GldAo~Ng8`Fqe str: with _lock: start = time.perf_counter() if _engine is None: - _engine = RapidOCR() + model_dir = files("rapidocr") / "models" + det_model = model_dir / "PP-OCRv6_det_small.onnx" + cls_model = model_dir / "ch_ppocr_mobile_v2.0_cls_mobile.onnx" + rec_model = model_dir / "PP-OCRv6_rec_small.onnx" + if not all(model.is_file() for model in (det_model, cls_model, rec_model)): + raise FileNotFoundError( + "PP-OCRv6 small models are missing; run " + "uv run rapidocr download_models --config ocr-models.yaml" + ) + # The 2000 px default loses email characters in long tables (design §5.2). + _engine = RapidOCR( + params={ + "Global.max_side_len": 4000, + "Det.model_type": ModelType.SMALL, + "Rec.model_type": ModelType.SMALL, + "Det.model_path": str(det_model), + "Cls.model_path": str(cls_model), + "Rec.model_path": str(rec_model), + } + ) result = _engine(data) if not isinstance(result, RapidOCROutput): raise TypeError("OCR did not return recognized text") diff --git a/crawler/src/crawler/parse/image_test.py b/crawler/src/crawler/parse/image_test.py index 0ed5d1f..cd6a552 100644 --- a/crawler/src/crawler/parse/image_test.py +++ b/crawler/src/crawler/parse/image_test.py @@ -25,15 +25,22 @@ def test_image_text_reads_generated_attachment() -> None: assert "SEND THE FORM BEFORE DEADLINE" in text -def test_image_text_reads_chinese_example() -> None: - example = Path(__file__).parents[3] / "examples" / "ocr" +def test_image_text_reads_generated_chinese_attachment() -> None: + image = Image.new("RGB", (1600, 500), "white") + draw = ImageDraw.Draw(image) + # The bundled Noto Sans SC subset keeps Chinese glyphs available in offline CI. + font = ImageFont.truetype(Path(__file__).with_name("NotoSansSC-test.ttf"), 64) + draw.text((60, 50), "夏令营报名时间", fill="black", font=font) + draw.text((60, 170), "7月6日10:00至8月10日17:00", fill="black", font=font) + draw.text((60, 290), "请填写申请表", fill="black", font=font) + buffer = io.BytesIO() + image.save(buffer, format="PNG") - text = image_text((example / "input.png").read_bytes()) + text = image_text(buffer.getvalue()) - assert "2027年夏令营报名通知" in text - assert "报名时间" in text + assert "夏令营报名时间" in text assert "7月6日10:00至8月10日17:00" in text - assert "请填写报名表和个人陈述" in text + assert "请填写申请表" in text def test_image_text_returns_empty_for_blank_image() -> None: diff --git a/docs/design.md b/docs/design.md index 50b726a..fa9f7b9 100644 --- a/docs/design.md +++ b/docs/design.md @@ -81,7 +81,7 @@ | 数据库 | 服务器上 1Panel 的 PostgreSQL 18 | 和鼠洞共用实例，不加新服务 | | 抓取节点 | Python 3.14，uv 管依赖；Ruff 做 lint 和格式化，Pyright 的严格模式做类型检查，pytest 做测试 | 浏览器抓取、正文提取、PDF 和 Office 解析、中文的文字识别，Python 的库最全，代价是多一套工具链。3.15 刚发布，文字识别要用的 onnxruntime 还没有它的安装包。Pyright 和 VS Code 的 Pylance 是同一个引擎，编辑器里看到的错误和 CI 一致 | | 抓取 | httpx（异步）请求网页，Playwright 驱动浏览器（Chromium 的无头精简版），lxml 按 CSS 或 XPath 取出列表 | 各自领域的主流库 | -| 正文、附件和文字识别 | 图片用 RapidOCR（PP-OCRv6 small，ONNX Runtime）识别文字；正文和其他附件的候选库：trafilatura、pypdf 或 pdfplumber、python-docx、openpyxl | 都关在 `parse` 模块里，换了不影响别处；图片的试验见第 5.2 节，其余在[读正文和附件](https://github.com/mousebaoyan/mouseclock/issues/40)里比较后定。扫描 PDF 跟随该任务选定的渲染库；不用 AGPL 许可的 PyMuPDF | +| 正文、附件和文字识别 | 图片用 RapidOCR 3.10.0（PP-OCRv6 small、ONNX Runtime，`max_side_len=4000`、`text_score=0.5`）识别文字；正文和其他附件的候选库：trafilatura、pypdf 或 pdfplumber、python-docx、openpyxl | 真实附件比较见第 5.2 节。模型在镜像构建时下载，运行和测试只读本地模型；都关在 `parse` 模块里，换了不影响别处。其余在[读正文和附件](https://github.com/mousebaoyan/mouseclock/issues/40)里比较后定。扫描 PDF 跟随该任务选定的渲染库；不用 AGPL 许可的 PyMuPDF | | 接口的类型 | 网站用 Zod 写接口的定义，生成 OpenAPI 文档；抓取节点从这份文档生成 Pydantic 模型 | 两边语言不同，接口的类型也只有一个来源。抓取节点用 Pydantic 校验网站的返回和模型的输出 | | 判别接口和 LLM | 实验后定（第 8.5 节） | | @@ -107,11 +107,24 @@ CPU 不是问题，要省的是带宽，做法见第 14 节。 | 厦大信息学院的列表页 | 浏览器 0.7 秒；普通请求 0.22 秒、39KB，标题都在 HTML 里，用不着浏览器 | | 电科计算机学院 | 用了瑞数的反爬：先返回 202 和一段脚本，脚本设好 Cookie 后重新请求。Playwright 默认带着自动化标记（`navigator.webdriver` 为真），无头模式的 UA 里写着 `HeadlessChrome`，有一处就返回 400；关掉自动化标记、UA 里写成 `Chrome` 就能通过，UA 末尾照样写明鼠钟。首页 3.1 秒，内存峰值约 425MB；同一个会话里再开列表页，不用再过挑战 | -**文字识别**：RapidOCR（PP-OCRv6）识别一张 20 行的中文页面约 1 秒，进程峰值约 690MB；抓取节点只有 4 核，会慢几倍。 +**文字识别**：用 `data/sources.csv` 里的 9 个来源各取一张真实通知图片，另加一份 4 页 PDF。图片覆盖普通通知截图、海报、长图和密集日程表；来源是[中科院自动化所](http://ia.cas.cn/yjsjy/zs/sszs/)、[西电计算机学院](https://cs.xidian.edu.cn/yjsjy/yjstz.htm)、[中科院计算所](https://www.ict.ac.cn/yjsjy/zsxx/sszs/)、[东南计算机学院和软件学院](https://cse.seu.edu.cn/49475/list.htm)、[电子科大信息与软件工程学院](https://sise.uestc.edu.cn/xwtz/tzgg/ygk.htm)、[厦大人工智能研究院](https://iai.xmu.edu.cn/recruitment/zsxx.htm)、[厦大信息学院](https://informatics.xmu.edu.cn/zsxx.htm)、[电子科大计算机学院](https://www.scse.uestc.edu.cn/tzgg/ygk.htm)和[北邮计算机学院](https://scs.bupt.edu.cn/rcpy1/yjspy/zsxx1.htm)。PDF 按 200 DPI 渲染后逐页识别；它自带文字层，不是扫描件，只作补充样本，扫描 PDF 仍留给 #40 按选定的渲染库验证。图片、PDF 和 OCR 全文不进仓库。 -在 Windows、Python 3.14.5 上用 RapidOCR 3.10.0、ONNX Runtime 1.31.1 复测：Pillow 生成 1700×2100 的 21 行中文图片，识别出 21 行，3 种测试句子均原样识别；同一个实例首次调用 3.49 秒，重复调用 1.42 秒。另试一张图片，识别出 23 行。三次调用期间每 10 毫秒采样一次进程 RSS，峰值约 762 MiB。这些是开发机数据，抓取节点上的速度和内存仍需实测。 +人工逐项抄录日期、时刻、网址和邮箱。一项信息只有在同一条 OCR 文本行中完整出现，并且字段内部的数字、字母、大小写、标点、斜杠、冒号和空格都与原文相同时才算正确；不跨行拼接，不纠错、补全或规范化，重复出现的值分别核对。一张图或一页 PDF 只要漏掉或错识别一项，整张（页）就不算“关键信息全对”。PDF 第 2 页没有关键信息，不进准确率分母，因此共比较 12 个含关键信息的样本。 -抓取节点同时开 2 个浏览器页面、一次识别一张图，峰值约 1.4GB，3.6GB 内存够用（第 16 节）。 +在 Linux 容器中限制 4 核、3600 MiB 内存并断网，RapidOCR 3.10.0 和 ONNX Runtime 1.31.1 顺序识别，每档模型只创建一个实例： + +| `max_side_len` | PP-OCRv6 | 关键信息全对 | 13 张（页）总耗时 | 容器内存峰值 | 模型文件 | +| ---: | --- | ---: | ---: | ---: | ---: | +| 2000 | tiny | 2/12 | 85.19 秒 | 784.1 MiB | 6.58 MiB | +| 2000 | small | 4/12 | 289.04 秒 | 1151.2 MiB | 30.28 MiB | +| 2000 | medium | 4/12 | 842.72 秒 | 2077.9 MiB | 132.88 MiB | +| 4000 | tiny | 3/12 | 137.21 秒 | 1694.2 MiB | 6.58 MiB | +| 4000 | small | 5/12 | 354.25 秒 | 2058.8 MiB | 30.28 MiB | +| 4000 | medium | 7/12 | 1112.38 秒 | 3305.9 MiB | 132.88 MiB | + +默认的 2000 像素会缩小长图，small 和 medium 都只有 4/12 张（页）全对；若保持 2000，按同等准确率选更小模型的规则应选 small。调到 4000 后分别增至 5/12 和 7/12。medium 最准，但单独识别图片时已经占 3305.9 MiB，无法给同一台 3.6GB 节点上的浏览器留下可用余量；tiny 虽小，但只全对 3/12。4000 下也选 small：它是满足内存约束的方案里最准确的一档，模型约 30.28 MiB，单张（页）5.69–38.52 秒，容器峰值 2058.8 MiB。`text_score` 先保留默认 0.5；当前样本降低阈值后的漏行变化还要补测，不能沿用别的数据得出结论。 + +三档模型都不能覆盖所有类型：tiny 会在网址和邮箱中插入空格、漏掉整行报名信息，并把破折号识别成汉字；small 会漏掉两张图片里的整行网址，把 `logon` 识别为 `1ogon`、漏掉网址末尾 `/`，并拆开表格日程；medium 也会拆开表格日程、在网址中插入空格，并完全漏掉一条报名截止时间。密集表格、跨行网址和日程图片必须进入人工审核，不能按上下文补全。 ## 6. 账号与权限 @@ -452,7 +465,7 @@ L3 以上可以不提申请，直接修改，同样要写理由、附依据。 | 部分 | 放在哪 | 说明 | | --- | --- | --- | | 网站 | 香港的服务器，和鼠洞同一台 | 容器部署，前面是 1Panel 的 OpenResty；数据库用服务器上 1Panel 的 PostgreSQL | -| 抓取节点 | 上海的机器：4 核、3.6GB 内存 | 容器部署；浏览器抓取同时最多开 2 个页面，文字识别一次只做一张，内存峰值约 1.4GB（第 5.2 节） | +| 抓取节点 | 上海的机器：4 核、3.6GB 内存 | 容器部署；浏览器抓取同时最多开 2 个页面，文字识别一次只做一张。PP-OCRv6 small 在 4000 像素上单独识别的容器峰值为 2058.8 MiB；按浏览器实测再预留约 410–450 MiB，仍需在附件接入时复测两者同时运行的整机峰值（第 5.2 节） | - 抓取节点每分钟向网站领一次活：到期要抓的来源和管理员要试抓的来源。抓取节点停了，网站照常能用，只是没有新数据；抓取看板会显示抓取节点多久没来领活。 - 为什么分开：实测 11 所学校和研究所的官网和研招网，香港和上海都能访问（浙大要用 HTTP），但从上海访问快 2–4 倍；浏览器抓取和附件解析吃 CPU 和内存，放在上海也不占网站服务器的资源。判别和抽取都调用外部接口，抓取节点不跑模型。 @@ -489,7 +502,7 @@ L3 以上可以不提申请，直接修改，同样要写理由、附依据。 | 事项 | 现状 | | --- | --- | | 名称 | 「鼠钟」暂定，帖子里在征名 | -| 正文、附件和文字识别用的库 | 用真实的附件比较后定（第 5.1 节） | +| 正文、附件和文字识别用的库 | 图片已定 RapidOCR；正文、PDF 和 Office 附件仍在 #40 用真实附件比较后定（第 5.1 节） | | 域名 | 待定，用 `mousebaoyan.cn` 的子域名 | | 鼠洞的授权接口 | 已在鼠洞设计好，待实现 | | 群汇总由哪个插件发 | 扩展鼠洞的 bot 插件，还是新写一个 | From 5af612e23392ded08d66cf7a1ab24bbe6bcf9925 Mon Sep 17 00:00:00 2001 From: Admireux <1071526655@qq.com> Date: Fri, 13 Nov 2026 23:05:13 +0800 Subject: [PATCH 4/5] =?UTF-8?q?=E6=8E=A5=E9=80=9A=E5=B9=B6=E4=BC=98?= =?UTF-8?q?=E5=8C=96=E5=9B=BE=E7=89=87=E6=96=87=E5=AD=97=E8=AF=86=E5=88=AB?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .github/workflows/ci.yml | 1 - crawler/Dockerfile | 4 +- crawler/ocr-models.yaml | 23 -------- crawler/pyproject.toml | 1 - crawler/src/crawler/parse/files.py | 17 +++++- crawler/src/crawler/parse/files_test.py | 29 +++++++++- .../parse/{ => fixtures}/NotoSansSC-OFL.txt | 0 .../parse/{ => fixtures}/NotoSansSC-test.ttf | Bin crawler/src/crawler/parse/image.py | 40 ++++++-------- crawler/src/crawler/parse/image_test.py | 50 ------------------ crawler/uv.lock | 24 --------- docs/design.md | 22 ++++++-- 12 files changed, 79 insertions(+), 132 deletions(-) delete mode 100644 crawler/ocr-models.yaml rename crawler/src/crawler/parse/{ => fixtures}/NotoSansSC-OFL.txt (100%) rename crawler/src/crawler/parse/{ => fixtures}/NotoSansSC-test.ttf (100%) delete mode 100644 crawler/src/crawler/parse/image_test.py diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 14cf39d..63655c8 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -66,5 +66,4 @@ jobs: - uses: astral-sh/setup-uv@07a047e608db84b3d8c06cd9a7c7dcc9c355c18e # v10.3.2 with: working-directory: crawler - - run: cd crawler && uv sync --locked && uv run rapidocr download_models --config ocr-models.yaml - run: crawler/check.sh diff --git a/crawler/Dockerfile b/crawler/Dockerfile index 910f4aa..031167a 100644 --- a/crawler/Dockerfile +++ b/crawler/Dockerfile @@ -15,7 +15,9 @@ RUN --mount=type=cache,target=/root/.cache/uv uv sync --locked --no-editable FROM python:3.14-slim-trixie ENV PLAYWRIGHT_BROWSERS_PATH=/ms-playwright COPY --from=build /app/.venv /app/.venv -RUN /app/.venv/bin/playwright install --with-deps --only-shell chromium \ +RUN apt-get update \ + && apt-get install --yes --no-install-recommends libatomic1 \ + && /app/.venv/bin/playwright install --with-deps --only-shell chromium \ && rm -rf /var/lib/apt/lists/* \ && useradd --create-home crawler # The pages it opens are untrusted. diff --git a/crawler/ocr-models.yaml b/crawler/ocr-models.yaml deleted file mode 100644 index e05b5d9..0000000 --- a/crawler/ocr-models.yaml +++ /dev/null @@ -1,23 +0,0 @@ -Global: - model_root_dir: null - use_det: true - use_cls: false - use_rec: true -Det: - engine_type: onnxruntime - lang_type: ch - model_type: small - ocr_version: PP-OCRv6 - task_type: det -Cls: - engine_type: onnxruntime - lang_type: ch - model_type: mobile - ocr_version: PP-OCRv4 - task_type: cls -Rec: - engine_type: onnxruntime - lang_type: ch - model_type: small - ocr_version: PP-OCRv6 - task_type: rec diff --git a/crawler/pyproject.toml b/crawler/pyproject.toml index ec0c386..fe2ecf7 100644 --- a/crawler/pyproject.toml +++ b/crawler/pyproject.toml @@ -10,7 +10,6 @@ dependencies = [ "onnxruntime>=1.31.1", "openpyxl>=3.1.5", "playwright>=1.64.1", - "psutil>=7.2.2", "pydantic>=2.14.1", "pypdf>=7.0.0", "python-docx>=1.2.0", diff --git a/crawler/src/crawler/parse/files.py b/crawler/src/crawler/parse/files.py index c55f508..c7722ad 100644 --- a/crawler/src/crawler/parse/files.py +++ b/crawler/src/crawler/parse/files.py @@ -1,5 +1,5 @@ -"""The words in the files notices attach (design §5.1): PDF, Word and Excel, the old binary formats -too. Images wait for text recognition (#47); archives and other files have none to read.""" +"""The words in the files notices attach (design §5.1): images, PDF, Word and Excel, including +the old binary formats. Archives and other files have none to read.""" import io import unicodedata @@ -14,9 +14,20 @@ from legacy_doc import extract_text from pypdf import PdfReader +from crawler.parse.image import image_text + _PDF = b"%PDF" _ZIP = b"PK\x03\x04" _OLE = b"\xd0\xcf\x11\xe0\xa1\xb1\x1a\xe1" +_IMAGE_HEADERS = ( + b"\x89PNG\r\n\x1a\n", + b"\xff\xd8\xff", + b"GIF87a", + b"GIF89a", + b"BM", + b"II*\x00", + b"MM\x00*", +) # Old Word files keep their text in a stream of this name; old Excel files have none. _WORD = "WordDocument".encode("utf-16-le") # Some PDFs map common characters to the Kangxi radicals that look like them, ⽣ for 生. @@ -26,6 +37,8 @@ def file_text(data: bytes) -> str: """Raises ValueError when the file is broken.""" try: + if data.startswith(_IMAGE_HEADERS) or (data.startswith(b"RIFF") and data[8:12] == b"WEBP"): + return image_text(data) if data.startswith(_PDF): pages = PdfReader(io.BytesIO(data)).pages return "\n".join(page.extract_text() for page in pages).translate(_RADICALS) diff --git a/crawler/src/crawler/parse/files_test.py b/crawler/src/crawler/parse/files_test.py index c949177..67bfca2 100644 --- a/crawler/src/crawler/parse/files_test.py +++ b/crawler/src/crawler/parse/files_test.py @@ -1,13 +1,39 @@ import io import zipfile +from pathlib import Path import docx import openpyxl import pytest +from PIL import Image, ImageDraw, ImageFont from crawler.parse.files import file_text +def test_image_reads_generated_chinese_attachment() -> None: + image = Image.new("RGB", (1600, 500), "white") + draw = ImageDraw.Draw(image) + font = ImageFont.truetype(Path(__file__).with_name("fixtures") / "NotoSansSC-test.ttf", 64) + draw.text((60, 50), "夏令营报名时间", fill="black", font=font) + draw.text((60, 170), "7月6日10:00至8月10日17:00", fill="black", font=font) + draw.text((60, 290), "请填写申请表", fill="black", font=font) + buffer = io.BytesIO() + image.save(buffer, format="PNG") + + text = file_text(buffer.getvalue()) + + assert "夏令营报名时间" in text + assert "7月6日10:00至8月10日17:00" in text + assert "请填写申请表" in text + + +def test_blank_image_has_no_words_to_read() -> None: + buffer = io.BytesIO() + Image.new("RGB", (600, 300), "white").save(buffer, format="JPEG") + + assert file_text(buffer.getvalue()) == "" + + def test_word_keeps_paragraphs_and_tables_in_order_with_merged_cells_once() -> None: document = docx.Document() document.add_paragraph("报名截止6月30日。") @@ -80,9 +106,10 @@ def test_files_with_no_words_to_read_give_none() -> None: with zipfile.ZipFile(archive, "w") as files: files.writestr("说明.txt", "自编的说明") assert file_text(archive.getvalue()) == "" - assert file_text(b"\x89PNG\r\n\x1a\n") == "" def test_a_broken_file_is_an_error() -> None: with pytest.raises(ValueError, match="BadZipFile"): file_text(b"PK\x03\x04" + b"\x00" * 30) + with pytest.raises(ValueError, match="UnidentifiedImageError"): + file_text(b"\x89PNG\r\n\x1a\n") diff --git a/crawler/src/crawler/parse/NotoSansSC-OFL.txt b/crawler/src/crawler/parse/fixtures/NotoSansSC-OFL.txt similarity index 100% rename from crawler/src/crawler/parse/NotoSansSC-OFL.txt rename to crawler/src/crawler/parse/fixtures/NotoSansSC-OFL.txt diff --git a/crawler/src/crawler/parse/NotoSansSC-test.ttf b/crawler/src/crawler/parse/fixtures/NotoSansSC-test.ttf similarity index 100% rename from crawler/src/crawler/parse/NotoSansSC-test.ttf rename to crawler/src/crawler/parse/fixtures/NotoSansSC-test.ttf diff --git a/crawler/src/crawler/parse/image.py b/crawler/src/crawler/parse/image.py index 012859e..92a255c 100644 --- a/crawler/src/crawler/parse/image.py +++ b/crawler/src/crawler/parse/image.py @@ -1,18 +1,16 @@ """Read text from image attachments.""" import logging +import resource import threading import time -from importlib.resources import files -import psutil -from rapidocr import ModelType, RapidOCR +from rapidocr import RapidOCR from rapidocr.utils.output import RapidOCROutput logger = logging.getLogger(__name__) _lock = threading.Lock() _engine: RapidOCR | None = None -_process = psutil.Process() def image_text(data: bytes) -> str: @@ -20,32 +18,26 @@ def image_text(data: bytes) -> str: global _engine with _lock: - start = time.perf_counter() + start = time.monotonic() if _engine is None: - model_dir = files("rapidocr") / "models" - det_model = model_dir / "PP-OCRv6_det_small.onnx" - cls_model = model_dir / "ch_ppocr_mobile_v2.0_cls_mobile.onnx" - rec_model = model_dir / "PP-OCRv6_rec_small.onnx" - if not all(model.is_file() for model in (det_model, cls_model, rec_model)): - raise FileNotFoundError( - "PP-OCRv6 small models are missing; run " - "uv run rapidocr download_models --config ocr-models.yaml" - ) - # The 2000 px default loses email characters in long tables (design §5.2). _engine = RapidOCR( params={ - "Global.max_side_len": 4000, - "Det.model_type": ModelType.SMALL, - "Rec.model_type": ModelType.SMALL, - "Det.model_path": str(det_model), - "Cls.model_path": str(cls_model), - "Rec.model_path": str(rec_model), + # Find lines on a smaller copy, then crop the legible text from the original. + "Global.use_preprocess_img": False, + "Det.limit_type": "max", + "Det.limit_side_len": 2000, + # A batch is padded to its widest line; one line at a time keeps the peak low. + "Rec.rec_batch_num": 1, } ) result = _engine(data) if not isinstance(result, RapidOCROutput): raise TypeError("OCR did not return recognized text") - elapsed_ms = round((time.perf_counter() - start) * 1000) - rss_mib = round(_process.memory_info().rss / 1024**2) - logger.info("Image OCR completed", extra={"duration_ms": elapsed_ms, "rss_mib": rss_mib}) + logger.info( + "Image OCR completed", + extra={ + "elapsed": time.monotonic() - start, + "peak_rss_kib": resource.getrusage(resource.RUSAGE_SELF).ru_maxrss, + }, + ) return "\n".join(result.txts or []) diff --git a/crawler/src/crawler/parse/image_test.py b/crawler/src/crawler/parse/image_test.py deleted file mode 100644 index cd6a552..0000000 --- a/crawler/src/crawler/parse/image_test.py +++ /dev/null @@ -1,50 +0,0 @@ -"""OCR a generated attachment, without storing real notices in the repository.""" - -import io -from pathlib import Path - -from PIL import Image, ImageDraw, ImageFont - -from crawler.parse.image import image_text - - -def test_image_text_reads_generated_attachment() -> None: - image = Image.new("RGB", (1600, 500), "white") - draw = ImageDraw.Draw(image) - font = ImageFont.load_default(size=52) - draw.text((60, 50), "APPLICATION FORM 2027", fill="black", font=font) - draw.text((60, 160), "DEADLINE 2027-08-10 17:00", fill="black", font=font) - draw.text((60, 270), "SEND THE FORM BEFORE DEADLINE", fill="black", font=font) - buffer = io.BytesIO() - image.save(buffer, format="PNG") - - text = image_text(buffer.getvalue()) - - assert "APPLICATION FORM 2027" in text - assert "2027-08-10 17:00" in text - assert "SEND THE FORM BEFORE DEADLINE" in text - - -def test_image_text_reads_generated_chinese_attachment() -> None: - image = Image.new("RGB", (1600, 500), "white") - draw = ImageDraw.Draw(image) - # The bundled Noto Sans SC subset keeps Chinese glyphs available in offline CI. - font = ImageFont.truetype(Path(__file__).with_name("NotoSansSC-test.ttf"), 64) - draw.text((60, 50), "夏令营报名时间", fill="black", font=font) - draw.text((60, 170), "7月6日10:00至8月10日17:00", fill="black", font=font) - draw.text((60, 290), "请填写申请表", fill="black", font=font) - buffer = io.BytesIO() - image.save(buffer, format="PNG") - - text = image_text(buffer.getvalue()) - - assert "夏令营报名时间" in text - assert "7月6日10:00至8月10日17:00" in text - assert "请填写申请表" in text - - -def test_image_text_returns_empty_for_blank_image() -> None: - buffer = io.BytesIO() - Image.new("RGB", (600, 300), "white").save(buffer, format="PNG") - - assert image_text(buffer.getvalue()) == "" diff --git a/crawler/uv.lock b/crawler/uv.lock index 89f2aa6..ab60c31 100644 --- a/crawler/uv.lock +++ b/crawler/uv.lock @@ -222,7 +222,6 @@ dependencies = [ { name = "onnxruntime" }, { name = "openpyxl" }, { name = "playwright" 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a/docs/design.md b/docs/design.md index 6c2318c..a8ce068 100644 --- a/docs/design.md +++ b/docs/design.md @@ -81,7 +81,7 @@ | 数据库 | 服务器上 1Panel 的 PostgreSQL 18 | 和鼠洞共用实例，不加新服务 | | 抓取节点 | Python 3.14，uv 管依赖；Ruff 做 lint 和格式化，Pyright 的严格模式做类型检查，pytest 做测试 | 浏览器抓取、正文提取、PDF 和 Office 解析、中文的文字识别，Python 的库最全，代价是多一套工具链。3.15 刚发布，文字识别要用的 onnxruntime 还没有它的安装包。Pyright 和 VS Code 的 Pylance 是同一个引擎，编辑器里看到的错误和 CI 一致 | | 抓取 | httpx（异步）请求网页，Playwright 驱动浏览器（Chromium 的无头精简版），lxml 按 CSS 或 XPath 取出列表 | 各自领域的主流库 | -| 正文、附件和文字识别 | 正文按建站系统的模板用 lxml 取；pypdf 读 PDF，python-docx 读 `.docx`，legacy-doc 读老的 `.doc`，openpyxl 读 `.xlsx`，xlrd 读 `.xls`；文字识别候选 RapidOCR | 都关在 `parse` 模块里，换了不影响别处。正文和附件用真实的通知和附件比较后定，结果见第 5.2 节；文字识别在[文字识别](https://github.com/mousebaoyan/mouseclock/issues/47)的任务里定。不用 AGPL 许可的 PyMuPDF | +| 正文、附件和文字识别 | 正文按建站系统的模板用 lxml 取；pypdf 读 PDF，python-docx 读 `.docx`，legacy-doc 读老的 `.doc`，openpyxl 读 `.xlsx`，xlrd 读 `.xls`；图片的文字识别用 RapidOCR（PP-OCRv6 small，设置见第 5.2 节） | 都关在 `parse` 模块里，换了不影响别处。正文和附件用真实的通知和附件比较后定，结果见第 5.2 节；扫描的 PDF 用哪个库渲染成图片，在[文字识别](https://github.com/mousebaoyan/mouseclock/issues/47)的任务里定。不用 AGPL 许可的 PyMuPDF | | 接口的类型 | 网站用 Zod 写接口的定义，生成 OpenAPI 文档；抓取节点从这份文档生成 Pydantic 模型 | 两边语言不同，接口的类型也只有一个来源。抓取节点用 Pydantic 校验网站的返回和模型的输出 | | 判别接口和 LLM | System One 的 SemIf；DeepSeek 官方接口的 V4.1 Flash（`deepseek-flash`），按编号抽取 | 判别见第 8.1 节，抽取比较见第 8.5 节 | @@ -117,9 +117,21 @@ CPU 不是问题，要省的是带宽，做法见第 14 节。 | Excel | openpyxl 读 `.xlsx`，xlrd 读 `.xls`，样本里各 1 个都没问题 | | 下载 | 7 次拿到的不是文件，是博达的「请输入验证码下载附件」页面（北科计通、厦大、电子科大信通、国科大杭州等）；先打开通知页、带着来源页下载也一样，是网站的设置。按第 7.2 节不破解：附件照样列出，文字留空，不存文件 | -**文字识别**：RapidOCR（PP-OCRv6）识别一张 20 行的中文页面约 1 秒，进程峰值约 690MB；抓取节点只有 4 核，会慢几倍。 +**文字识别**：从 `data/sources.csv` 的 9 个来源各取一张通知图片（截图、海报、长图、密集的日程表），加一份渲染成图片的 4 页 PDF，在限成 4 核、3600 MiB、断网的 Linux 容器里用 RapidOCR 3.10.0 依次识别。只看日期、时刻、网址和邮箱：同一行里和原文一字不差才算对，一张里错一项就不算全对；有这些信息的共 12 张（页）。 -抓取节点同时开 2 个浏览器页面、一次识别一张图，峰值约 1.4GB，3.6GB 内存够用（第 16 节）。 +| PP-OCRv6 | 设置 | 关键信息全对 | 13 张（页）总耗时 | 峰值内存 | 模型文件 | +| --- | --- | ---: | ---: | ---: | ---: | +| tiny | 整图缩到 2000 | 2/12 | 85.19 秒 | 784.1 MiB | 6.58 MiB | +| small | 整图缩到 2000 | 4/12 | 289.04 秒 | 1151.2 MiB | 30.28 MiB | +| medium | 整图缩到 2000 | 4/12 | 842.72 秒 | 2077.9 MiB | 132.88 MiB | +| tiny | 整图缩到 4000 | 3/12 | 137.21 秒 | 1694.2 MiB | 6.58 MiB | +| small | 整图缩到 4000 | 5/12 | 354.25 秒 | 2058.8 MiB | 30.28 MiB | +| medium | 整图缩到 4000 | 7/12 | 1112.38 秒 | 3305.9 MiB | 132.88 MiB | +| small | 缩到 2000 找行，从原图切行，每批 1 行 | 7/12 | 240.87 秒 | 726.0 MiB | 30.28 MiB | + +选 small，在缩到 2000 的图上找行、从原图上切行识别，一次认一行：默认把整张图缩到 2000 再识别，长截图的字太小；把整张图放到 4000 仍少两张全对，检测还要多占 1GB 以上；medium 在三档整图方案里最准，但单独识别就占 3.3GB，给浏览器留不出余量。把 `text_score` 从默认的 0.5 降到 0.3 没找回关键信息，反而多出两行乱码，因此保留 0.5。三档都会漏掉整行的网址、拆开表格里的日程，图片里认出的关键信息不能当作可靠的原文，相关字段交给人审核，不根据上下文猜。 + +抓取节点同时开 2 个浏览器页面（约 450 MiB）、一次识别一张图（峰值 726 MiB），合计约 1.2 GiB，3.6GB 内存够用（第 16 节）。 ## 6. 账号与权限 @@ -591,7 +603,7 @@ L3 以上可以不提申请，直接修改，同样要写理由、附依据。 | 部分 | 放在哪 | 说明 | | --- | --- | --- | | 网站 | 香港的服务器，和鼠洞同一台 | 容器部署，前面是 1Panel 的 OpenResty；数据库用服务器上 1Panel 的 PostgreSQL | -| 抓取节点 | 上海的机器：4 核、3.6GB 内存 | 容器部署；浏览器抓取同时最多开 2 个页面，文字识别一次只做一张，内存峰值约 1.4GB（第 5.2 节） | +| 抓取节点 | 上海的机器：4 核、3.6GB 内存 | 容器部署；浏览器抓取同时最多开 2 个页面（约 450 MiB），文字识别一次只做一张（峰值 726 MiB），合计约 1.2 GiB，3.6GB 内存够用（第 5.2 节） | - 抓取节点每分钟向网站领一次活：到期要抓的来源和管理员要试抓的来源。抓取节点停了，网站照常能用，只是没有新数据；抓取看板会显示抓取节点多久没来领活。 - 为什么分开：实测 11 所学校和研究所的官网和研招网，香港和上海都能访问（浙大要用 HTTP），但从上海访问快 2–4 倍；浏览器抓取和附件解析吃 CPU 和内存，放在上海也不占网站服务器的资源。判别和抽取都调用外部接口，抓取节点不跑模型。 @@ -628,7 +640,7 @@ L3 以上可以不提申请，直接修改，同样要写理由、附依据。 | 事项 | 现状 | | --- | --- | | 名称 | 「鼠钟」暂定，帖子里在征名 | -| 文字识别用的库 | 用真实的图片和扫描件比较后定（第 5.1 节） | +| 扫描的 PDF 用哪个库渲染成图片 | 在文字识别任务里比较后定（第 5.1 节） | | 域名 | 待定，用 `mousebaoyan.cn` 的子域名 | | 群汇总由哪个插件发 | 扩展鼠洞的 bot 插件，还是新写一个 | | 第一批来源 | 先收对四非友好的学校，名单在帖子里征集 | From 89f1b10db07cbf0f2ef107d1527a7a6e5e387007 Mon Sep 17 00:00:00 2001 From: JunieXD <1240840076@qq.com> Date: Sat, 14 Nov 2026 14:19:15 +0800 Subject: [PATCH 5/5] =?UTF-8?q?=E4=BF=9D=E7=95=99=20main=20=E9=94=81?= =?UTF-8?q?=E5=AE=9A=E7=9A=84=E4=BE=9D=E8=B5=96=E7=89=88=E6=9C=AC?= 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