22 lines
950 B
Python
22 lines
950 B
Python
import sys, json, contextlib, io
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sys.path.insert(0, ".")
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from pathlib import Path
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import smart_extractor as se
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from _lines import separator_barriers
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D = Path("output/AndhraJyothi_Siddipet District_20260602_20260603_144919/pages")
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png = D / "page_001.png"
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regs0 = json.loads((D / "page_001.regions.json").read_text())["regions"]
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with contextlib.redirect_stdout(io.StringIO()):
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regs = se.drop_masthead_regions(regs0, "andhra_jyothi", 1, png)
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ds = se.find_article_starts_by_dateline(regs, str(png), "andhra_jyothi")
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bars = separator_barriers(str(png), regs)
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bl = se.cluster_all_article_blocks(regs, dateline_starts=ds, sep_lines=bars)
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print("bars near y=1375:", [b for b in bars if 1300 < b["y"] < 1450])
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print()
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dl_ids = {s["region_id"] for s in ds}
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for b in sorted(bl, key=lambda b: (b["bbox"][1], b["bbox"][0])):
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kind = b["kind"]
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print(f" {kind} anchor={b['anchor_id']:>3} bbox={b['bbox']} members={sorted(b['members'])}")
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