import json import os import sys import shutil from typing import Dict, List from io import BytesIO import requests from PIL import Image from pytesseract import pytesseract # 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 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", []) ] if __name__ == "__main__": shutil.rmtree("./data/", ignore_errors=True) os.mkdir("./data/") counter = 0 start_page = int(sys.argv[1]) for i in range(start_page, 3000): print(f"Processing page {i}...") orgs = get_orgs(i*1000) for org in orgs: 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") image = image.resize((512, 512), resample=Image.LANCZOS) image_text = pytesseract.image_to_string(image) if (len(image_text) >= 3): continue; image.save(f"./data/{org.get('uuid')}.png", format="PNG") except Exception as ex: print( f"Error downloading image for {org.get('uuid')}: {ex}") continue text = "Logo of {}, {}".format( org.get("name"), org.get("short_description").replace("{} is ".format(org.get("name")), "")) print("{} - {}".format(counter, 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") counter += 1