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https://github.com/freedomofpress/dangerzone.git
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0921cc23e7
Add a Python script that can run in all supported platforms, and can download and extract the Tesseract language data from GitHub, while also: 1. Checking that the expected hash matches. 2. Informing the user if the language data have already been downloaded. 3. Extracting only the subset of language data that Dangerzone needs
80 lines
2.8 KiB
Python
80 lines
2.8 KiB
Python
import hashlib
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import io
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import json
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import pathlib
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import re
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import subprocess
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import sys
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import tarfile
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import urllib.request
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TESSDATA_RELEASES_URL = (
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"https://api.github.com/repos/tesseract-ocr/tessdata_fast/releases/latest"
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)
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TESSDATA_ARCHIVE_URL = "https://github.com/tesseract-ocr/tessdata_fast/archive/{tessdata_version}/tessdata_fast-{tessdata_version}.tar.gz"
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TESSDATA_CHECKSUM = "d0e3bb6f3b4e75748680524a1d116f2bfb145618f8ceed55b279d15098a530f9"
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def git_root():
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"""Get the root directory of the Git repo."""
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# FIXME: Use a Git Python binding for this.
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# FIXME: Make this work if called outside the repo.
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cmd = ["git", "rev-parse", "--show-toplevel"]
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path = (
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subprocess.run(cmd, check=True, stdout=subprocess.PIPE)
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.stdout.decode()
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.strip("\n")
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)
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return pathlib.Path(path)
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def main():
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share_dir = git_root() / "share"
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tessdata_dir = share_dir / "tessdata"
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# Get the list of OCR languages that Dangerzone supports.
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with open(share_dir / "ocr-languages.json") as f:
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langs_short = sorted(json.loads(f.read()).values())
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# Check if these languages have already been downloaded.
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if tessdata_dir.exists():
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expected_files = {f"{lang}.traineddata" for lang in langs_short}
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files = {f.name for f in tessdata_dir.iterdir()}
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if files == expected_files:
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msg = "> Skipping tessdata download, language data already exists"
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print(msg, file=sys.stderr)
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return
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else:
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print(f"Found {tessdata_dir} but contents do not match", file=sys.stderr)
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return 1
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# Get latest release of Tesseract data.
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print(f"> Getting latest tessdata release", file=sys.stderr)
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with urllib.request.urlopen(TESSDATA_RELEASES_URL) as f:
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resp = f.read()
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releases = json.loads(resp)
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tag = releases["tag_name"]
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# Get latest release of Tesseract data.
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print(f"> Downloading tessdata release {tag}", file=sys.stderr)
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archive_url = TESSDATA_ARCHIVE_URL.format(tessdata_version=tag)
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with urllib.request.urlopen(archive_url) as f:
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archive = f.read()
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digest = hashlib.sha256(archive).hexdigest()
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if digest != TESSDATA_CHECKSUM:
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raise RuntimeError(f"Checksum mismatch {digest} != {TESSDATA_CHECKSUM}")
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# Extract the languages models from the tessdata archive.
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print(f"> Extracting tessdata archive into {tessdata_dir}", file=sys.stderr)
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with tarfile.open(fileobj=io.BytesIO(archive)) as t:
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for lang in langs_short:
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member = f"tessdata_fast-{tag}/{lang}.traineddata"
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print(f">> Extracting {member}")
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t.extract(member=member, path=share_dir, set_attrs=False)
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tessdata_dl_dir = share_dir / f"tessdata_fast-{tag}"
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tessdata_dl_dir.rename(tessdata_dir)
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if __name__ == "__main__":
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sys.exit(main())
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