collect-dataset.py

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