cryptorugmunch
a7c30b12cd
Mass ruff auto-fix:
- ruff check --fix: 109 issues fixed (F401 unused imports,
I001 unsorted imports, UP037 quoted annotations, SIM105
suppressible exception, RUF100 unused-noqa)
- ruff check --fix --unsafe-fixes: 22 additional issues
- ruff format: 70 files reformatted
- Manual pass: fix 16 misplaced import httpx lines
- Manual pass: fix remaining E402 (import-after-docstring)
Result: 283 errors -> 30 errors.
The remaining 30 are real issues that need manual review:
5 F401 unused-import (likely auto-generated stubs)
5 F821 undefined-name (real bugs in code that references
redis/pydantic/LLMRegistry without imports)
3 BLE001 (the compliance LLM fallback is intentional; the
other two are real)
3 RUF012 mutable-class-default
3 SIM105, 3 SIM117, 2 E722, 2 E741
1 B007, 1 B025, 1 E402, 1 RUF200 (pyproject.toml issue)
Tests: 436/437 pass (1 pre-existing SSE sandbox failure).
format check + import sort: now clean.
make ci: still gated on the 30 remaining real issues.
Follow-up: triage the 30 issues file-by-file.
96 lines
3 KiB
Python
96 lines
3 KiB
Python
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"""Pry — Image OCR using Tesseract.
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Extract text from images on web pages. Uses pytesseract + Pillow."""
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# SPDX-License-Identifier: MIT
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# Copyright (c) 2026 Rug Munch Media LLC
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#
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# Part of Pry — https://git.rugmunch.io/RugMunchMedia/pryscraper
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# Licensed under MIT. See LICENSE.
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import io
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import logging
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import os
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from typing import Any, ClassVar
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import httpx
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logger = logging.getLogger(__name__)
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try:
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import pytesseract
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from PIL import Image
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_has_tesseract = True
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except ImportError:
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_has_tesseract = False
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class ImageOCR:
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"""Extract text from images using Tesseract OCR."""
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SUPPORTED_LANGUAGES: ClassVar[list[str]] = [
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"eng",
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"chi_sim",
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"chi_tra",
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"spa",
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"fra",
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"deu",
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"ita",
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"por",
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"rus",
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"jpn",
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"kor",
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"ara",
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]
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def __init__(self, language: str = "eng"):
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self.language = language if language in self.SUPPORTED_LANGUAGES else "eng"
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def extract_from_bytes(self, image_bytes: bytes, config: str = "") -> dict[str, Any]:
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"""Extract text from image bytes."""
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if not _has_tesseract:
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return {
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"success": False,
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"error": "pytesseract not installed. Run: pip install pytesseract pillow",
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}
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try:
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img = Image.open(io.BytesIO(image_bytes))
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text = pytesseract.image_to_string(img, lang=self.language, config=config)
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data = pytesseract.image_to_data(
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img, lang=self.language, output_type=pytesseract.Output.DICT
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)
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confidences = [c for c in data["conf"] if isinstance(c, int) and 0 <= c <= 100]
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avg_confidence = round(sum(confidences) / len(confidences), 1) if confidences else 0
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return {
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"success": True,
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"text": text.strip(),
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"confidence": avg_confidence,
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"word_count": len(text.split()),
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"language": self.language,
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}
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except OSError as e:
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return {"success": False, "error": str(e)[:200]}
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def extract_from_file(self, image_path: str) -> dict[str, Any]:
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"""Extract text from an image file."""
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if not os.path.exists(image_path):
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return {"success": False, "error": f"File not found: {image_path}"}
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with open(image_path, "rb") as f:
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return self.extract_from_bytes(f.read())
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async def extract_from_url(self, url: str) -> dict[str, Any]:
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"""Download image from URL and extract text."""
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from client import get_client
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client = await get_client()
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try:
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resp = await client.get(url, timeout=30)
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if resp.is_success:
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return self.extract_from_bytes(resp.content)
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except (httpx.HTTPError, httpx.RequestError) as e:
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return {"success": False, "error": str(e)[:200]}
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return {"success": False, "error": "Failed to download image"}
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def is_available(self) -> bool:
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return _has_tesseract
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