diff --git a/.env.example b/.env.example index 6578363..65fd4fb 100644 --- a/.env.example +++ b/.env.example @@ -76,7 +76,26 @@ MISTRAL_OCR_MODEL=mistral-ocr-latest MISTRAL_OCR_API_URL=https://api.mistral.ai/v1/ocr OCR_SEGMENT_PAGES=20 OCR_REQUEST_TIMEOUT_SECONDS=300 -# Alternatives: OCR_PROVIDER=mock|pypdf|chandra +# Alternatives: OCR_PROVIDER=mock|pypdf|chandra|paddleocr + +# --- OCR (Baidu PaddleOCR / PP-OCR, local CPU) --- +# OCR_PROVIDER=paddleocr +# Model tier: medium (34.5M params, default) | small (7.7M) | tiny (1.5M). +# Or an explicit pair: PADDLEOCR_MODEL=PP-OCRv6_medium_det,PP-OCRv6_medium_rec +# PADDLEOCR_MODEL=medium +# PADDLEOCR_OCR_VERSION=PP-OCRv6 +# PADDLEOCR_LANG= +# PADDLEOCR_DEVICE=cpu +# PADDLEOCR_DET_MODEL= +# PADDLEOCR_REC_MODEL= +# PADDLEOCR_MIN_SCORE=0 +# PADDLEOCR_IMAGE_DPI=192 +# PADDLEOCR_MAX_WORKERS=1 +# Leave false. PaddlePaddle 3.3 + oneDNN crashes on CPU (PIR -> oneDNN conversion); +# only set true if you are on a build where that crash does not occur. +# PADDLEOCR_ENABLE_MKLDNN=false +# Where the checkpoint is cached (set in docker-compose to the mounted volume). +# PADDLE_PDX_CACHE_HOME=/opt/hf-cache/paddlex # --- LLM: Gemma 4 (translation + domain tagging) --- AGRINET_GEMMA_BASE_URL=https://dev-vistaar.da.gov.in/gemma4 diff --git a/Dockerfile b/Dockerfile index dcf1998..5d87db5 100644 --- a/Dockerfile +++ b/Dockerfile @@ -4,11 +4,16 @@ FROM python:3.10-slim WORKDIR /app # Install system dependencies -# apt-get is skipped — curl is not needed at runtime. -# Uncomment below only if you need libreoffice (office→PDF) or curl: -# RUN apt-get update && apt-get install -y --no-install-recommends \ -# curl \ -# && rm -rf /var/lib/apt/lists/* +# libgomp1 — OpenMP runtime; paddlepaddle's core library links against it and +# refuses to import without it ("Can not import paddle core ..."). +# libgl1 + libglib2.0-0 — the runtime shared libraries opencv-contrib-python +# (a PaddleX dependency) loads at import time. +# curl is not needed at runtime; add it only if you add a healthcheck that uses it. +RUN apt-get update && apt-get install -y --no-install-recommends \ + libgomp1 \ + libgl1 \ + libglib2.0-0 \ + && rm -rf /var/lib/apt/lists/* COPY --from=ghcr.io/astral-sh/uv:0.12.5 /uv /uvx /usr/local/bin/ diff --git a/ENV.md b/ENV.md index 00a4e61..090a6f8 100644 --- a/ENV.md +++ b/ENV.md @@ -111,7 +111,7 @@ OCR is a **separate process** (not in `docker-compose`). The worker calls | Variable | Default | Purpose | |----------|---------|---------| -| `OCR_PROVIDER` | `chandra` | OCR provider (`chandra`, `mock`, `pypdf`) | +| `OCR_PROVIDER` | `chandra` | OCR provider (`chandra`, `mistral`, `paddleocr`, `mock`, `pypdf`) | | `OCR_MODEL` | `chandra` | Model name | | `CHANDRA_VLLM_BASE_URL` | `''` | Base URL; local HF default `http://localhost:8010/v1` | | `CHANDRA_OCR_API_URL` | `''` | Alternate full OCR API URL (overrides base path build) | @@ -124,6 +124,29 @@ OCR is a **separate process** (not in `docker-compose`). The worker calls | `OCR_SEGMENT_PAGES` | `20` | Segment size for long docs | | `CHANDRA_HF_HOME` / `HF_HOME` | — | Hugging Face cache (HF server / scripts) | +**Baidu PaddleOCR (local CPU lane):** + +`OCR_PROVIDER=paddleocr` runs PP-OCR in-process — no GPU, no remote inference server. +The checkpoint is downloaded on first use into `PADDLE_PDX_CACHE_HOME` (set by +`docker-compose.yml` to a directory on the mounted `HF_HOME` volume, so it survives a +rebuild). Available on the **linux/amd64** image only: `paddlepaddle` publishes no +aarch64 wheels. + +| Variable | Default | Purpose | +|----------|---------|---------| +| `PADDLEOCR_MODEL` | `medium` | PP-OCRv6 tier (`medium` \| `small` \| `tiny`), or an explicit `","` model-name pair | +| `PADDLEOCR_OCR_VERSION` | `PP-OCRv6` | `PP-OCRv6` \| `PP-OCRv5` \| `PP-OCRv4` | +| `PADDLEOCR_LANG` | `''` | Checkpoint language hint (`en`, `ch`, `dev`, …); empty = the checkpoint default | +| `PADDLEOCR_DET_MODEL` | `''` | Explicit detector model name (wins over `PADDLEOCR_MODEL`) | +| `PADDLEOCR_REC_MODEL` | `''` | Explicit recogniser model name (wins over `PADDLEOCR_MODEL`) | +| `PADDLEOCR_DEVICE` | `cpu` | `cpu` or `gpu` / `gpu:0` | +| `PADDLEOCR_MIN_SCORE` | `0` | Drop recognised lines below this confidence | +| `PADDLEOCR_IMAGE_DPI` | `192` | Page render DPI | +| `PADDLEOCR_MAX_WORKERS` | `1` | Parallel OCR workers | +| `PADDLEOCR_ENABLE_MKLDNN` | `false` | Intel oneDNN acceleration. Leave `false`: PaddlePaddle 3.3 crashes on CPU in the PIR → oneDNN conversion (`ConvertPirAttribute2RuntimeAttribute not support`) and the `FLAGS_*` env vars do not work around it | +| `PADDLE_PDX_CACHE_HOME` | — | Where the checkpoint is cached (`/opt/hf-cache/paddlex` in compose) | +| `PADDLE_PDX_MODEL_SOURCE` | `huggingface` | PaddleX model host; `modelscope` is the alternative | + **Local start (real model, GPU + torch + model download):** ```bash diff --git a/docker-compose.yml b/docker-compose.yml index 1f6f11c..193e806 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -254,6 +254,9 @@ services: # HF cache path propagated into the container HF_HOME: ${HF_HOME:-/opt/hf-cache} HF_HUB_CACHE: ${HF_HOME:-/opt/hf-cache} + # PaddleX (Baidu PaddleOCR) weight cache — kept on the same mounted volume so + # the on-demand checkpoint download survives a container rebuild. + PADDLE_PDX_CACHE_HOME: ${HF_HOME:-/opt/hf-cache}/paddlex ports: - "127.0.0.1:${API_HOST_PORT:-8011}:8001" depends_on: @@ -295,6 +298,9 @@ services: ALLOWED_FILE_PATHS: /app/books,/data/documents HF_HOME: ${HF_HOME:-/opt/hf-cache} HF_HUB_CACHE: ${HF_HOME:-/opt/hf-cache} + # PaddleX (Baidu PaddleOCR) weight cache — the worker is the process that + # actually runs OCR, so the checkpoint is downloaded and cached here. + PADDLE_PDX_CACHE_HOME: ${HF_HOME:-/opt/hf-cache}/paddlex depends_on: temporal: condition: service_healthy diff --git a/pipeline/ocr/__init__.py b/pipeline/ocr/__init__.py index f296ec5..31539f7 100644 --- a/pipeline/ocr/__init__.py +++ b/pipeline/ocr/__init__.py @@ -4,6 +4,7 @@ from .chandra_vllm import ChandraVllmOcrProvider from .mistral_ocr import MistralOcrProvider from .mock import MockOcrProvider +from .paddleocr_local import PaddleOcrProvider from .service import get_ocr_provider, load_ocr_config, ocr_pdf, ocr_pdf_in_segments from .text_layer import split_pdf_range @@ -13,6 +14,7 @@ "MockOcrProvider", "OcrConfig", "OcrProvider", + "PaddleOcrProvider", "get_ocr_provider", "load_ocr_config", "ocr_pdf", diff --git a/pipeline/ocr/base.py b/pipeline/ocr/base.py index 619e3a5..b836003 100644 --- a/pipeline/ocr/base.py +++ b/pipeline/ocr/base.py @@ -32,6 +32,19 @@ class OcrConfig: image_dpi: int = 192 request_timeout_seconds: float = 300.0 + # Baidu PaddleOCR (local, CPU) lane. These are separate fields rather than + # reusing ``model``/``image_dpi`` because the PaddleOCR knobs are spelled + # differently from the Chandra/Mistral ones, and one deployment may want both + # lanes configured at once (switch with OCR_PROVIDER). + paddleocr_version: str = "PP-OCRv6" + paddleocr_lang: str = "" + paddleocr_device: str = "cpu" + paddleocr_det_model: str = "" + paddleocr_rec_model: str = "" + paddleocr_min_score: float = 0.0 + paddleocr_image_dpi: int = 192 + paddleocr_enable_mkldnn: bool = False + PageDict = dict diff --git a/pipeline/ocr/paddleocr_local.py b/pipeline/ocr/paddleocr_local.py new file mode 100644 index 0000000..b1e7090 --- /dev/null +++ b/pipeline/ocr/paddleocr_local.py @@ -0,0 +1,374 @@ +"""Baidu PaddleOCR (PP-OCR) provider — local CPU inference, weights fetched on first use. + +WHY THIS EXISTS NEXT TO CHANDRA +-------------------------------- +``chandra`` (pipeline/ocr/chandra_vllm.py) is the high-accuracy lane: a ~5B-parameter +vision-language model, but it needs a remote vLLM server on a GPU host. PaddleOCR is +the opposite trade — PP-OCRv6 is a 34.5M-parameter detection + recognition pair that +runs on CPU inside this very image and reads 50 languages from a single checkpoint, so +it is the practical lane for a self-hosted deployment with no GPU. + +Weights are NOT baked into the image. PaddleX downloads the selected checkpoint into +``PADDLE_PDX_CACHE_HOME`` the first time it is needed, so one image serves every tier +and the download happens once, onto the mounted cache volume. + +MODEL SELECTION (deployment-time settings, no code change) +----------------------------------------------------------- +``OCR_PROVIDER=paddleocr`` — pick this provider (aliases: ``paddle``, ``baidu``). +``PADDLEOCR_MODEL`` — ``medium`` | ``small`` | ``tiny`` (PP-OCRv6 tiers), or an + explicit ``","`` pair of model names. +``PADDLEOCR_OCR_VERSION`` — ``PP-OCRv6`` (default) | ``PP-OCRv5`` | ``PP-OCRv4``. +``PADDLEOCR_LANG`` — checkpoint language hint, e.g. ``en``, ``ch``, ``dev``. + Empty = the checkpoint's own default. +``PADDLEOCR_DET_MODEL`` / ``PADDLEOCR_REC_MODEL`` — explicit model names; they win over + ``PADDLEOCR_MODEL`` and let you mix tiers. +``PADDLEOCR_DEVICE`` — ``cpu`` (default) or ``gpu`` / ``gpu:0``. +``PADDLEOCR_MIN_SCORE`` — drop recognised lines below this confidence (default 0.0). +``PADDLEOCR_IMAGE_DPI`` — rasterisation DPI for PDF pages (default 192). + +``PADDLE_PDX_MODEL_SOURCE`` is honoured by PaddleX itself (``huggingface`` by default, +``modelscope`` is the alternative) — set it if the default model host is unreachable. +""" + +from __future__ import annotations + +import logging +import threading +from dataclasses import dataclass +from pathlib import Path +from typing import Callable, Optional + +from .base import OcrConfig, OcrProvider, PageDict + +logger = logging.getLogger("pipeline.ocr.paddleocr") + +DEFAULT_OCR_VERSION = "PP-OCRv6" +DEFAULT_MODEL = "medium" +DEFAULT_IMAGE_DPI = 192 + +# PP-OCRv6 ships three tiers of the same detection+recognition architecture. The tier +# name is what an operator picks; the pair of model names is what PaddleOCR is given. +TIER_MODELS: dict[str, tuple[str, str]] = { + "medium": ("PP-OCRv6_medium_det", "PP-OCRv6_medium_rec"), + "small": ("PP-OCRv6_small_det", "PP-OCRv6_small_rec"), + "tiny": ("PP-OCRv6_tiny_det", "PP-OCRv6_tiny_rec"), +} + + +def _default_log(level: str, message: str, *args) -> None: + log_fn = getattr(logger, level, logger.info) + log_fn(message, *args) + + +class PaddleOcrUnavailable(RuntimeError): + """Raised when PaddleOCR / PaddlePaddle cannot be imported.""" + + +@dataclass(frozen=True) +class ModelSpec: + """The resolved (detector, recogniser) pair plus how to run it.""" + + det: str + rec: str + version: str + lang: str + device: str + enable_mkldnn: bool = False + + +def resolve_model_spec(config: OcrConfig) -> ModelSpec: + """Resolve the configured model into a (detector, recogniser) pair. + + Explicit ``PADDLEOCR_DET_MODEL`` / ``PADDLEOCR_REC_MODEL`` win, then an explicit + ``","`` pair in the model setting, then a tier name. Raises + ``ValueError`` naming the valid options rather than failing later inside PaddleX + with an opaque model-not-found error. + """ + version = config.paddleocr_version or DEFAULT_OCR_VERSION + lang = config.paddleocr_lang or "" + device = config.paddleocr_device or "cpu" + enable_mkldnn = bool(config.paddleocr_enable_mkldnn) + + det = config.paddleocr_det_model or "" + rec = config.paddleocr_rec_model or "" + if det and rec: + return ModelSpec( + det=det, + rec=rec, + version=version, + lang=lang, + device=device, + enable_mkldnn=enable_mkldnn, + ) + + model = (config.model or "").strip() or DEFAULT_MODEL + if "," in model: + det, rec = (part.strip() for part in model.split(",", 1)) + if not det or not rec: + raise ValueError( + f"PaddleOCR model {model!r} must be ',' " + "with both names non-empty." + ) + return ModelSpec( + det=det, + rec=rec, + version=version, + lang=lang, + device=device, + enable_mkldnn=enable_mkldnn, + ) + + tier = model.lower() + if tier in TIER_MODELS: + det_model, rec_model = TIER_MODELS[tier] + return ModelSpec( + det=det_model, + rec=rec_model, + version=version, + lang=lang, + device=device, + enable_mkldnn=enable_mkldnn, + ) + + valid = ", ".join(sorted(TIER_MODELS)) + raise ValueError( + f"Unknown PaddleOCR model {model!r}. Use one of the PP-OCRv6 tiers ({valid}), " + "an explicit ',' pair, or set PADDLEOCR_DET_MODEL and PADDLEOCR_REC_MODEL." + ) + + +# One engine per resolved model set. Constructing PaddleOCR loads the weights, and the +# very first construction is what triggers the download — so construction happens under +# the lock, and the engine is reused for every later page. +_engines: dict[tuple[str, str, str, str, str, bool], object] = {} +_engine_lock = threading.Lock() + + +def _engine_key(spec: ModelSpec) -> tuple[str, str, str, str, str, bool]: + return (spec.det, spec.rec, spec.version, spec.lang, spec.device, spec.enable_mkldnn) + + +def get_engine(spec: ModelSpec): + """Build (once) and return the PaddleOCR engine for ``spec``. + + The first call downloads the checkpoint into ``PADDLE_PDX_CACHE_HOME``; later calls + reuse the loaded engine. + """ + key = _engine_key(spec) + engine = _engines.get(key) + if engine is not None: + return engine + + with _engine_lock: + engine = _engines.get(key) + if engine is not None: + return engine + + try: + from paddleocr import PaddleOCR + except ImportError as exc: + raise PaddleOcrUnavailable( + "PaddleOCR is not installed in this image. The Baidu PaddleOCR lane is " + "built for linux/amd64 (paddlepaddle publishes no aarch64 wheels); on " + "arm64 use OCR_PROVIDER=chandra or OCR_PROVIDER=mistral instead." + ) from exc + + kwargs: dict[str, object] = { + "text_detection_model_name": spec.det, + "text_recognition_model_name": spec.rec, + "use_doc_orientation_classify": False, + "use_doc_unwarping": False, + "use_textline_orientation": False, + "device": spec.device, + # PaddlePaddle 3.3 + oneDNN crash on CPU with + # "ConvertPirAttribute2RuntimeAttribute not support + # [pir::ArrayAttribute]" during the PIR -> oneDNN + # conversion. It is not fixable by the FLAGS_* env vars (PaddleX picks + # run_mode=mkldnn independently); the pipeline has to be told to skip + # oneDNN. See https://github.com/PaddlePaddle/Paddle/issues/77340 + "enable_mkldnn": spec.enable_mkldnn, + } + logger.info( + "Loading PaddleOCR engine: det=%s rec=%s version=%s lang=%s device=%s " + "(weights are downloaded on first use into PADDLE_PDX_CACHE_HOME)", + spec.det, + spec.rec, + spec.version, + spec.lang or "", + spec.device, + ) + engine = PaddleOCR(**kwargs) + _engines[key] = engine + logger.info("PaddleOCR engine ready (det=%s rec=%s)", spec.det, spec.rec) + return engine + + +def _page_to_array(doc, index: int, dpi: int): + """Render one PDF page to an RGB numpy array (PaddleOCR's native input).""" + import numpy as np + + page = doc.load_page(index) + pix = page.get_pixmap(dpi=dpi, alpha=False) + arr = np.frombuffer(pix.samples, dtype=np.uint8).reshape(pix.height, pix.width, pix.n) + if pix.n == 4: # RGBA -> RGB + arr = arr[:, :, :3] + return arr + + +def _result_value(result, key: str, default=None): + """Read ``key`` from a PaddleOCR result, tolerating dict-like and attribute-style.""" + if result is None: + return default + try: + value = result[key] + except Exception: # noqa: BLE001 — not a mapping, or key absent + value = getattr(result, key, default) + return default if value is None else value + + +def _boxes_and_texts(result, min_score: float) -> list[tuple[list[float], str]]: + """Extract [(bbox, text)] from one PaddleOCR result, dropping low-confidence lines.""" + texts = list(_result_value(result, "rec_texts", []) or []) + scores = list(_result_value(result, "rec_scores", []) or []) + polys = list(_result_value(result, "rec_polys", []) or []) + + out: list[tuple[list[float], str]] = [] + for i, text in enumerate(texts): + text = ("" if text is None else str(text)).strip() + if not text: + continue + if i < len(scores): + try: + if float(scores[i]) < min_score: + continue + except (TypeError, ValueError): + pass + bbox = [0.0, 0.0, 0.0, 0.0] + if i < len(polys): + try: + points = [[float(x), float(y)] for x, y in polys[i]] + xs = [p[0] for p in points] + ys = [p[1] for p in points] + bbox = [min(xs), min(ys), max(xs), max(ys)] + except Exception: # noqa: BLE001 — a malformed polygon must not kill the page + pass + out.append((bbox, text)) + return out + + +def group_into_lines(items: list[tuple[list[float], str]]) -> list[str]: + """Group detected boxes into reading-order lines. + + Boxes are clustered by vertical overlap, then sorted left-to-right within a line. + A page's words therefore come out as the lines a human would read, not as a flat + bag of fragments. + """ + if not items: + return [] + + remaining = sorted(items, key=lambda it: (it[0][1], it[0][0])) + lines: list[str] = [] + current: list[tuple[list[float], str]] = [] + + def flush() -> None: + if not current: + return + current.sort(key=lambda it: it[0][0]) + text = " ".join(t for _, t in current).strip() + if text: + lines.append(text) + + for bbox, text in remaining: + if not current: + current = [(bbox, text)] + continue + line_top = min(b[1] for b, _ in current) + line_bottom = max(b[3] for b, _ in current) + height = max(1.0, bbox[3] - bbox[1]) + overlap = min(line_bottom, bbox[3]) - max(line_top, bbox[1]) + if overlap > 0.5 * height: + current.append((bbox, text)) + else: + flush() + current = [(bbox, text)] + flush() + return lines + + +def result_to_markdown(result, min_score: float = 0.0) -> str: + """One PaddleOCR result -> Markdown text (one line per detected text line).""" + items = _boxes_and_texts(result, min_score) + return "\n".join(group_into_lines(items)) + + +class PaddleOcrProvider(OcrProvider): + """PP-OCR (Baidu PaddleOCR) running locally on CPU inside this image.""" + + name = "paddleocr" + + def __init__(self, config: OcrConfig): + self.config = config + self.spec = resolve_model_spec(config) + self.min_score = float(config.paddleocr_min_score or 0.0) + self.dpi = int(config.paddleocr_image_dpi or DEFAULT_IMAGE_DPI) + + def process_pdf_range( + self, + pdf_path: str, + start_idx: int, + end_idx: int, + *, + log: Optional[Callable[..., None]] = None, + ) -> list[PageDict]: + emit = log or _default_log + if start_idx >= end_idx: + return [] + + emit( + "info", + "Running PaddleOCR (%s / %s) for pages %s-%s of %s", + self.spec.det, + self.spec.rec, + start_idx + 1, + end_idx, + Path(pdf_path).name, + ) + + try: + engine = get_engine(self.spec) + except PaddleOcrUnavailable as exc: + raise RuntimeError(str(exc)) from exc + + try: + import fitz + except ImportError as exc: # pragma: no cover — PyMuPDF is a hard dependency + raise RuntimeError( + "PyMuPDF (fitz) is required to rasterise PDF pages for PaddleOCR." + ) from exc + + pages: list[PageDict] = [] + doc = fitz.open(pdf_path) + try: + end_idx = min(end_idx, doc.page_count) + for idx in range(start_idx, end_idx): + page_number = idx + 1 + try: + array = _page_to_array(doc, idx, self.dpi) + results = engine.predict(array) + result = results[0] if isinstance(results, list) and results else results + markdown = result_to_markdown(result, self.min_score) + except Exception as exc: # noqa: BLE001 — one bad page must not kill the doc + emit("warning", "PaddleOCR failed on page %s: %s", page_number, exc) + markdown = "" + pages.append( + { + "page_number": page_number, + "original_markdown": markdown, + "edited_markdown": None, + "is_reviewed": False, + "reviewer_notes": None, + } + ) + finally: + doc.close() + return pages diff --git a/pipeline/ocr/service.py b/pipeline/ocr/service.py index abe48c7..82abb51 100644 --- a/pipeline/ocr/service.py +++ b/pipeline/ocr/service.py @@ -12,6 +12,7 @@ from .chandra_vllm import ChandraVllmOcrProvider from .mistral_ocr import MistralOcrProvider from .mock import MockOcrProvider +from .paddleocr_local import PaddleOcrProvider from .text_layer import group_contiguous_ranges, split_pdf_range PROVIDERS: dict[str, type[OcrProvider]] = { @@ -19,6 +20,10 @@ "mistral_ocr": MistralOcrProvider, "chandra": ChandraVllmOcrProvider, "chandra_vllm": ChandraVllmOcrProvider, + # Baidu PaddleOCR (PP-OCR) — local CPU inference, weights fetched on first use. + "paddleocr": PaddleOcrProvider, + "paddle": PaddleOcrProvider, + "baidu": PaddleOcrProvider, # Local dev: embedded PDF text only (no external OCR). "mock": MockOcrProvider, "pypdf": MockOcrProvider, @@ -43,6 +48,18 @@ def load_ocr_config() -> OcrConfig: max_workers = int(os.environ.get("OCR_MAX_WORKERS", "2")) image_dpi = int(os.environ.get("OCR_IMAGE_DPI", "192")) request_timeout_seconds = float(os.environ.get("OCR_REQUEST_TIMEOUT_SECONDS", "300")) + elif provider in {"paddleocr", "paddle", "baidu"}: + # Baidu PaddleOCR: local CPU inference. OCR_MODEL selects the tier + # (medium | small | tiny) or an explicit "," model-name pair. + model = (os.environ.get("PADDLEOCR_MODEL") or os.environ.get("OCR_MODEL") or "").strip() + api_key = "" + endpoint = "" + api_url = "" + inference_mode = "local" + max_output_tokens = 0 + max_workers = int(os.environ.get("PADDLEOCR_MAX_WORKERS", "1")) + image_dpi = int(os.environ.get("PADDLEOCR_IMAGE_DPI", "192")) + request_timeout_seconds = float(os.environ.get("PADDLEOCR_REQUEST_TIMEOUT_SECONDS", "600")) else: model = (os.environ.get("OCR_MODEL") or "chandra").strip() or "chandra" api_key = "" @@ -69,6 +86,17 @@ def load_ocr_config() -> OcrConfig: max_workers=max_workers, image_dpi=image_dpi, request_timeout_seconds=request_timeout_seconds, + paddleocr_version=os.environ.get("PADDLEOCR_OCR_VERSION", "PP-OCRv6").strip(), + paddleocr_lang=os.environ.get("PADDLEOCR_LANG", "").strip(), + paddleocr_device=os.environ.get("PADDLEOCR_DEVICE", "cpu").strip(), + paddleocr_det_model=os.environ.get("PADDLEOCR_DET_MODEL", "").strip(), + paddleocr_rec_model=os.environ.get("PADDLEOCR_REC_MODEL", "").strip(), + paddleocr_min_score=float(os.environ.get("PADDLEOCR_MIN_SCORE", "0") or 0), + paddleocr_image_dpi=int(os.environ.get("PADDLEOCR_IMAGE_DPI", "192")), + paddleocr_enable_mkldnn=( + os.environ.get("PADDLEOCR_ENABLE_MKLDNN", "false").strip().lower() + in {"1", "true", "yes"} + ), ) diff --git a/pyproject.toml b/pyproject.toml index ca47fb0..57846f8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,6 +14,17 @@ dependencies = [ # Chandra OCR 2 (remote vLLM/HF client; no local GPU/torch required in worker image) "chandra-ocr>=0.2.0", + # Baidu PaddleOCR (PP-OCR) — the local CPU lane. Runs in-process in the worker + # image: PP-OCRv6 is a 34.5M-param det+rec pair that reads 50 languages with no + # GPU and no remote inference server. The weights are NOT baked into the image; + # PaddleX downloads the selected checkpoint on first use into PADDLE_PDX_CACHE_HOME. + # + # linux/amd64 ONLY: paddlepaddle publishes no aarch64 wheels, so the arm64 image + # cannot carry this lane. Gate the marker rather than the import, so `uv sync` + # still resolves on both architectures. + "paddleocr==3.7.0; sys_platform == 'linux' and platform_machine == 'x86_64'", + "paddlepaddle==3.3.1; sys_platform == 'linux' and platform_machine == 'x86_64'", + # pdf-inspector: fast local PDF classification + Markdown extraction for # text-based PDFs, so we can skip the OCR provider entirely for those pages. "pdf-inspector>=1.14.0", diff --git a/tests/test_ocr_paddleocr.py b/tests/test_ocr_paddleocr.py new file mode 100644 index 0000000..4324dff --- /dev/null +++ b/tests/test_ocr_paddleocr.py @@ -0,0 +1,136 @@ +"""Unit tests for the Baidu PaddleOCR provider wiring. + +These do NOT run PaddleOCR: the real engine needs the weights, which are downloaded +on first use. They cover the parts that are pure logic — model resolution and the +provider registry — so a broken env-var mapping fails fast in CI. +""" + +import pytest + + +class TestPaddleOcrRegistration: + def test_registered_in_providers(self): + from pipeline.ocr.service import PROVIDERS + + assert PROVIDERS["paddleocr"].__name__ == "PaddleOcrProvider" + assert PROVIDERS["paddle"] is PROVIDERS["paddleocr"] + assert PROVIDERS["baidu"] is PROVIDERS["paddleocr"] + + def test_selectable_by_env(self, monkeypatch): + from pipeline.ocr import service as ocr_service + + monkeypatch.setenv("OCR_PROVIDER", "paddleocr") + config = ocr_service.load_ocr_config() + assert config.provider == "paddleocr" + + provider = ocr_service.get_ocr_provider(config) + assert provider.name == "paddleocr" + + +class TestPaddleOcrModelResolution: + def _config(self, **kwargs): + from pipeline.ocr.base import OcrConfig + + defaults = dict(provider="paddleocr", model="medium") + defaults.update(kwargs) + return OcrConfig(**defaults) + + def test_default_tier_is_ppocrv6_medium(self): + from pipeline.ocr.paddleocr_local import resolve_model_spec + + spec = resolve_model_spec(self._config()) + assert spec.det == "PP-OCRv6_medium_det" + assert spec.rec == "PP-OCRv6_medium_rec" + assert spec.version == "PP-OCRv6" + assert spec.device == "cpu" + + @pytest.mark.parametrize( + "tier,det,rec", + [ + ("medium", "PP-OCRv6_medium_det", "PP-OCRv6_medium_rec"), + ("small", "PP-OCRv6_small_det", "PP-OCRv6_small_rec"), + ("tiny", "PP-OCRv6_tiny_det", "PP-OCRv6_tiny_rec"), + ], + ) + def test_each_tier_resolves(self, tier, det, rec): + from pipeline.ocr.paddleocr_local import resolve_model_spec + + spec = resolve_model_spec(self._config(model=tier)) + assert (spec.det, spec.rec) == (det, rec) + + def test_explicit_pair(self): + from pipeline.ocr.paddleocr_local import resolve_model_spec + + spec = resolve_model_spec(self._config(model="A_det,B_rec")) + assert (spec.det, spec.rec) == ("A_det", "B_rec") + + def test_explicit_model_fields_win(self): + from pipeline.ocr.paddleocr_local import resolve_model_spec + + spec = resolve_model_spec( + self._config(model="medium", paddleocr_det_model="X_det", paddleocr_rec_model="Y_rec") + ) + assert (spec.det, spec.rec) == ("X_det", "Y_rec") + + def test_unknown_model_raises_with_options(self): + from pipeline.ocr.paddleocr_local import resolve_model_spec + + with pytest.raises(ValueError) as exc: + resolve_model_spec(self._config(model="enormous")) + assert "medium" in str(exc.value) + + def test_device_and_version_are_configurable(self): + from pipeline.ocr.paddleocr_local import resolve_model_spec + + spec = resolve_model_spec( + self._config(paddleocr_device="gpu:0", paddleocr_version="PP-OCRv5") + ) + assert spec.device == "gpu:0" + assert spec.version == "PP-OCRv5" + + +class TestPaddleOcrTextAssembly: + def test_lines_are_ordered_and_grouped(self): + from pipeline.ocr.paddleocr_local import group_into_lines + + items = [ + ([0.0, 0.0, 50.0, 20.0], "Hello"), + ([60.0, 2.0, 120.0, 22.0], "world"), + ([0.0, 40.0, 60.0, 60.0], "Second line"), + ] + assert group_into_lines(items) == ["Hello world", "Second line"] + + def test_empty_input(self): + from pipeline.ocr.paddleocr_local import group_into_lines + + assert group_into_lines([]) == [] + + def test_markdown_from_rec_texts(self): + from pipeline.ocr.paddleocr_local import result_to_markdown + + class Result(dict): + pass + + result = Result( + rec_texts=["Invoice 4471", "Total 250.00"], + rec_scores=[0.98, 0.91], + rec_polys=[[[0, 0], [10, 0], [10, 5], [0, 5]], [[0, 9], [10, 9], [10, 14], [0, 14]]], + ) + md = result_to_markdown(result) + assert "Invoice 4471" in md + assert "Total 250.00" in md + + def test_low_confidence_lines_are_dropped(self): + from pipeline.ocr.paddleocr_local import result_to_markdown + + class Result(dict): + pass + + result = Result( + rec_texts=["keep", "drop"], + rec_scores=[0.95, 0.10], + rec_polys=[[[0, 0], [10, 0], [10, 5], [0, 5]], [[0, 9], [10, 9], [10, 14], [0, 14]]], + ) + md = result_to_markdown(result, min_score=0.5) + assert "keep" in md + assert "drop" not in md diff --git a/uv.lock b/uv.lock index 9292f9a..3b83806 100644 --- a/uv.lock +++ b/uv.lock @@ -1,19 +1,110 @@ version = 1 -revision = 3 +revision = 5 requires-python = ">=3.10" resolution-markers = [ - "python_full_version >= '3.14' and sys_platform != 'darwin'", + "python_full_version >= '3.14' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "(python_full_version >= '3.14' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.14' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32')", "python_full_version >= '3.14' and sys_platform == 'darwin'", - "python_full_version == '3.13.*' and sys_platform != 'darwin'", 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