import json import os import sys import shutil from typing import Dict, List from io import BytesIO import requests from PIL import Image import asyncio from pytesseract import pytesseract import concurrent.futures # im = Image.MAGICK # im.magick_init() # pass your initial parameters here def fetch_image(url): response = requests.get(url) if 'image' not in response.headers['Content-Type']: raise ValueError('Invalid image type') image_content = response.content return Image.open(BytesIO(image_content)) def convert_alpha_to_white(img): if img.mode != 'RGBA': return img white_bg = Image.new('RGBA', img.size, (255, 255, 255, 255)) return Image.alpha_composite(white_bg, img) # def modify_image( # image_buffer: bytes, # params: Dict[str, int] # ) -> bytes: # sizing_data = (params["width"], params["height"]) # im_params = { # "source": Image.open(BytesIO(image_buffer)), # "size": sizing_data # } # # resizing and other image modifications go here, see the official docs for more # # modified = im.resize(im_params) # buffer = BytesIO() # modified.save(buffer, format="PNG") # return buffer.getvalue() def get_orgs(min_rank: int) -> List[Dict[str, any]]: body = { "field_ids": ["short_description", "rank_org", "image_url", "name"], "order": [ { "field_id": "rank_org", "sort": "asc" } ], "query": [ { "type": "predicate", "field_id": "rank_org", "operator_id": "gte", "values": [str(min_rank)] } ], "limit": 1000 } req_opts = { "url": "https://api.crunchbase.com/api/v4/searches/organizations?user_key=3ff552060a645e7fe6bb916087288bd0", "method": "POST", "headers": { "Content-Type": "application/json" }, "json": body, "timeout": 60.0 } response = requests.request(**req_opts) res_json = response.json() return [ { "uuid": entity.get("uuid"), "name": entity.get("properties", {}).get("name"), "image_url": entity.get("properties", {}).get("image_url"), "short_description": entity.get("properties", {}).get("short_description") } for entity in res_json.get("entities", []) ] def handle_org(org): print(f"Processing {org.get('name')}...") try: image = fetch_image( org.get("image_url")) if (image.format != "PNG" and image.format != "JPEG"): raise ValueError("Image is not PNG or JPEG") width, height = image.size if width != height: raise ValueError("Image is not square") if (width < 400 or height < 400): raise ValueError(f"Image is too small - {width}x{height}") image = convert_alpha_to_white(image) image = image.resize((512, 512), resample=Image.LANCZOS) image_text = pytesseract.image_to_string(image, config='--psm 11') if (len(image_text) >= 3): raise ValueError("Image has text") image.save(f"./data/{org.get('uuid')}.png", format="PNG") except Exception as ex: print( f"Error downloading image for {org.get('uuid')}: {ex}") return text = "Logo of {}, {}".format( org.get("name"), org.get("short_description").replace("{} is ".format(org.get("name")), "")) print("{}".format( org.get("name"))) with open("./data/metadata.jsonl", "a") as f: f.write(json.dumps( {"file_name": f"{org.get('uuid')}.png", "text": text}) + "\n") return {"file_name": f"{org.get('uuid')}.png", "text": text} def main(): shutil.rmtree("./data/", ignore_errors=True) os.mkdir("./data/") start_page = int(sys.argv[1]) for i in range(start_page, 3000): print(f"Processing page {i}...") with concurrent.futures.ThreadPoolExecutor() as executor: futures = [] orgs = get_orgs(i*1000) print(f"Found {len(orgs)} orgs") for org in orgs: futures.append(executor.submit(handle_org, org)) # futures.append(executor.submit(handle_org, org) for org in orgs) for future in concurrent.futures.as_completed(futures): result = future.result() if result is not None: print(result) if (len(orgs) < 1000): print("No more orgs") break if __name__ == "__main__": main()