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import requests
import time
import json
from datasets import Dataset
def fetch_pubdev_packages(delay=0.3):
all_packages = set()
url = "https://pub.dev/api/packages"
while url:
try:
resp = requests.get(url)
resp.raise_for_status()
data = resp.json()
except Exception as e:
print(f"❌ Failed to fetch {url}: {e}")
break
# Extract package names
for pkg in data.get("packages", []):
name = pkg.get("name")
if name:
all_packages.add(name)
print(name)
print(f"✅ Fetched {len(all_packages)} total packages so far")
# Follow next_url if it exists
url = data.get("next_url")
time.sleep(delay)
return sorted(all_packages)
# Fetch and save
dart_packages = fetch_pubdev_packages()
# Output in JSONL format with "text" column to match Hugging Face dataset structure
with open("dart_packages_dataset.jsonl", "w") as f:
for pkg in dart_packages:
json.dump({"text": pkg}, f)
f.write('\n')
print(f"✅ Saved {len(dart_packages)} Dart package names to dart_packages_dataset.jsonl in Hugging Face compatible format")
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