88 lines
3.1 KiB
Python
88 lines
3.1 KiB
Python
# test with:
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# docker image build -t headless-fox Docker && docker run -v $PWD/static:/opt/static -ti headless-fox time python annotate_header.py screenshot.png "/opt/static/output.png" "content-type" "Tutaj jest content-type" "etag" "Tutaj jest etag z długim opisem co ma wiele słów i wychodzi poza network inspector"
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import os
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import sys
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import pytesseract
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import uuid
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import json
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from pytesseract import Output
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from PIL import Image, ImageDraw, ImageFont
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output_file_relative = sys.argv[
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1
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] # this is also the existing source screenshot to annotate. It will be updated in-place
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output_file = "/opt/static/" + output_file_relative
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domain = sys.argv[2]
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needles = sys.argv[3:]
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base_url = os.getenv("BASE_URL")
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# generator
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def partition(lst, size):
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for i in range(0, len(lst), size):
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yield lst[i : i + size]
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# print(d)
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with Image.open(output_file) as im:
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x_offset = 2054
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y_offset = 313
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cropped = im.crop((x_offset, y_offset, 2875, 1558))
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cropped_filename = "/opt/static/" + uuid.uuid4().hex + ".png"
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cropped.save(cropped_filename)
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d = pytesseract.image_to_data(cropped_filename, output_type=Output.DICT)
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os.remove(cropped_filename)
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draw = ImageDraw.Draw(im)
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n_boxes = len(d["level"])
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font = ImageFont.truetype("/usr/share/fonts/noto/NotoSansDisplay-Medium.ttf", 48)
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found_needles = []
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for i in range(n_boxes):
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(x, y, w, h, text) = (
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d["left"][i],
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d["top"][i],
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d["width"][i],
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d["height"][i],
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d["text"][i],
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)
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for [needle, comment] in partition(needles, 2):
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if needle.lower() in text.lower():
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found_needles.append(needle)
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# modify y so it's aligned not with the top of the text, but with the midline
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y = y + h / 2
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radius = 30
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# offset both y and x
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y = y + y_offset
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x = x + x_offset
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fill = "red"
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line_length = 200
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draw.regular_polygon(
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((x - radius - 5, y), radius), n_sides=3, rotation=270, fill=fill
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)
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draw.line((x - radius - 5, y, x - line_length, y), fill=fill, width=10)
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text_w, text_h = draw.textsize(comment, font)
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text_padding = 10
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draw.rectangle(
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[
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(x - line_length - text_w - text_padding, y - text_h / 2),
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(x - line_length + text_padding, y + text_h / 2),
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],
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fill="white",
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)
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draw.text(
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(x - line_length - 10, y),
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comment,
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fill=fill,
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anchor="rm",
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font=font,
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)
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im = im.resize((im.width // 2, im.height // 2))
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im.save(output_file, "PNG")
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print(json.dumps({"new_file":
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{"url": base_url + "/static/" + output_file_relative,
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"domain": domain,
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"found_headers": found_needles}}))
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