app.py

"""
GLM-OCR Hugging Face Space app with client-side header/footer fallback for MaaS.
Works for every PDF and every image: uses API bboxes when available, else minimal band.
"""
import os
import re
import tempfile
import yaml
import gradio as gr

import glmocr

GLMOCR_BASE = os.path.dirname(glmocr.__file__)
CONFIG_PATH = os.path.join(GLMOCR_BASE, "config.yaml")
FORMATTER_PATH = os.path.join(GLMOCR_BASE, "postprocess", "result_formatter.py")

DEFAULT_ZONE_FRAC = float(os.environ.get("GLMOCR_DEFAULT_ZONE_FRAC", "0.08"))

# ---------------------------------------------------------------------------
# 1. Config: include headers/footers (remove from abandon lists)
# ---------------------------------------------------------------------------
with open(CONFIG_PATH, "r") as f:
    config = yaml.safe_load(f)

config["pipeline"]["maas"]["enabled"] = True
config["pipeline"]["maas"]["api_key"] = "4570c28bdea5493c9efae9dae68edc66.sGbA9DLlcX1GlvqV"

to_remove = {"header", "footer"}
for key in ("layout", "result_formatter"):
    if key not in config.get("pipeline", {}):
        continue
    section = config["pipeline"][key]
    if key == "layout" and "label_task_mapping" in section:
        abandon = section["label_task_mapping"].get("abandon")
        if isinstance(abandon, list):
            section["label_task_mapping"]["abandon"] = [x for x in abandon if x not in to_remove]
    elif key == "result_formatter" and "abandon" in section:
        abandon = section["abandon"]
        if isinstance(abandon, list):
            section["abandon"] = [x for x in abandon if x not in to_remove]

with open(CONFIG_PATH, "w") as f:
    yaml.dump(config, f, default_flow_style=False, sort_keys=False)

# ---------------------------------------------------------------------------
# 2. result_formatter: stop stripping header/footer in postprocess
# ---------------------------------------------------------------------------
with open(FORMATTER_PATH, "r") as f:
    source = f.read()
for label in ('"header"', "'header'", '"footer"', "'footer'", '"doc_header"', "'doc_header'", '"doc_footer"', "'doc_footer'"):
    source = re.sub(r",\s*" + re.escape(label), "", source)
    source = re.sub(re.escape(label) + r"\s*,", "", source)
    source = re.sub(re.escape(label), "", source)
with open(FORMATTER_PATH, "w") as f:
    f.write(source)


def get_header_footer_zones(regions, norm_height=1000):
    if not regions:
        return None, None
    y_tops, y_bottoms = [], []
    for r in regions:
        bbox = r.get("bbox_2d") if isinstance(r, dict) else getattr(r, "bbox_2d", None)
        if bbox and len(bbox) >= 4:
            y_tops.append(bbox[1])
            y_bottoms.append(bbox[3])
    if not y_tops:
        return None, None
    return min(y_tops) / norm_height, max(y_bottoms) / norm_height


def extract_zone_text_pdf(pdf_path, page_num, y_start_frac, y_end_frac):
    try:
        import pymupdf as fitz
        doc = fitz.open(pdf_path)
        page = doc[page_num]
        h, w = page.rect.height, page.rect.width
        rect = fitz.Rect(0, h * y_start_frac, w, h * y_end_frac)
        text = page.get_text(clip=rect).strip()
        doc.close()
        return text
    except Exception:
        return ""


def ocr_zone(image_path, y_start_frac, y_end_frac):
    try:
        from PIL import Image
        from glmocr import parse
        img = Image.open(image_path).convert("RGB")
        w, h = img.size
        y0 = max(0, int(h * y_start_frac))
        y1 = min(h, int(h * y_end_frac))
        if y1 <= y0:
            return ""
        crop = img.crop((0, y0, w, y1))
        fd, path = tempfile.mkstemp(suffix=".png")
        os.close(fd)
        crop.save(path)
        try:
            out = parse(path)
            if not isinstance(out, list):
                out = [out]
            if out and getattr(out[0], "markdown_result", None):
                return (out[0].markdown_result or "").strip()
        finally:
            try:
                os.unlink(path)
            except Exception:
                pass
    except Exception:
        pass
    return ""


def get_page_md_and_regions(page_result):
    md = ""
    if hasattr(page_result, "markdown_result") and page_result.markdown_result:
        md = (page_result.markdown_result or "").strip()
    regions = []
    if hasattr(page_result, "json_result"):
        jr = page_result.json_result
        if isinstance(jr, list) and len(jr) > 0:
            r = jr[0] if isinstance(jr[0], list) else jr
            if isinstance(r, list):
                regions = r
            elif isinstance(r, dict) and "regions" in r:
                regions = r.get("regions") or []
    return md, regions


def run_ocr(uploaded_file):
    if uploaded_file is None:
        return "Please upload a file."
    try:
        from glmocr import parse
        import pymupdf as fitz

        path = uploaded_file.name if hasattr(uploaded_file, "name") else str(uploaded_file)
        is_pdf = path.lower().endswith(".pdf")

        if is_pdf:
            doc = fitz.open(path)
            page_images = []
            for i in range(len(doc)):
                pix = doc[i].get_pixmap(matrix=fitz.Matrix(1.5, 1.5), alpha=False)
                img_path = os.path.join(tempfile.gettempdir(), f"maas_page_{i}.png")
                pix.save(img_path)
                page_images.append(img_path)
            doc.close()
            results = parse(page_images)
        else:
            page_images = [path]
            results = parse(path)

        if not isinstance(results, list):
            results = [results]

        all_pages = []
        for page_num, page_result in enumerate(results):
            page_md, regions = get_page_md_and_regions(page_result)
            header_end_frac, footer_start_frac = get_header_footer_zones(regions, 1000)

            he = header_end_frac if header_end_frac is not None else DEFAULT_ZONE_FRAC
            fs = footer_start_frac if footer_start_frac is not None else (1.0 - DEFAULT_ZONE_FRAC)
            if he <= 0 and header_end_frac is not None:
                he = 0
            if fs >= 1.0 and footer_start_frac is not None:
                fs = 1.0

            parts = []

            if he > 0 and page_num < len(page_images):
                img_path = page_images[page_num]
                hdr = ""
                if is_pdf:
                    hdr = extract_zone_text_pdf(path, page_num, 0, he)
                if not (hdr and hdr.strip()):
                    hdr = ocr_zone(img_path, 0, he)
                if hdr and hdr.strip():
                    parts.append(hdr.strip())

            if page_md:
                parts.append(page_md)

            if fs < 1.0 and page_num < len(page_images):
                img_path = page_images[page_num]
                ftr = ""
                if is_pdf:
                    ftr = extract_zone_text_pdf(path, page_num, fs, 1.0)
                if not (ftr and ftr.strip()):
                    ftr = ocr_zone(img_path, fs, 1.0)
                if ftr and ftr.strip():
                    parts.append(ftr.strip())

            if parts:
                all_pages.append("\n\n".join(parts))

        return "\n\n---\n\n".join(all_pages) if all_pages else "(No content)"
    except Exception as e:
        import traceback
        return f"Error: {e}\n\n{traceback.format_exc()}"


with gr.Blocks(title="GLM-OCR") as demo:
    gr.Markdown("# GLM-OCR\nUpload a PDF or image. Headers and footers included.")
    file_in = gr.File(label="Upload PDF or image", file_types=[".pdf", ".png", ".jpg", ".jpeg", ".tiff", ".bmp"])
    run_btn = gr.Button("Run OCR", variant="primary")
    out = gr.Textbox(lines=40, label="Output")
    run_btn.click(fn=run_ocr, inputs=file_in, outputs=out)

if __name__ == "__main__":
    demo.launch()