mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-07 08:03:15 +00:00
79 lines
2.5 KiB
Python
79 lines
2.5 KiB
Python
#!/usr/bin/env python3
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import subprocess
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import requests
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import os
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import time
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FNAME_START = "+++"
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CLOUDFLARE_URL = "https://api.cloudflare.com/client/v4/zones/4fc6fb1d46e87851605aa7fa69ca6fe0/purge_cache"
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# we have changes in revision and commit sha on all pages
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# so such changes have to be ignored
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MIN_CHANGED_WORDS = 4
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def collect_changed_files():
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proc = subprocess.Popen("git diff HEAD~1 --word-diff=porcelain | grep -e '^+[^+]\|^\-[^\-]\|^\+\+\+'", stdout=subprocess.PIPE, shell=True)
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changed_files = []
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current_file_name = ""
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changed_words = []
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while True:
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line = proc.stdout.readline().decode("utf-8").strip()
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if not line:
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break
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if FNAME_START in line:
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if changed_words:
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if len(changed_words) > MIN_CHANGED_WORDS:
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changed_files.append(current_file_name)
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changed_words = []
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current_file_name = line[6:]
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else:
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changed_words.append(line)
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return changed_files
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def filter_and_transform_changed_files(changed_files, base_domain):
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result = []
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for f in changed_files:
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if f.endswith(".html"):
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result.append(base_domain + f.replace("index.html", ""))
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return result
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def convert_to_dicts(changed_files, batch_size):
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result = []
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current_batch = {"files": []}
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for f in changed_files:
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if len(current_batch["files"]) >= batch_size:
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result.append(current_batch)
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current_batch = {"files": []}
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current_batch["files"].append(f)
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if current_batch["files"]:
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result.append(current_batch)
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return result
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def post_data(prepared_batches, token):
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headers = {"Authorization": "Bearer {}".format(token)}
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for batch in prepared_batches:
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print(("Pugring cache for", ", ".join(batch["files"])))
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response = requests.post(CLOUDFLARE_URL, json=batch, headers=headers)
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response.raise_for_status()
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time.sleep(3)
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if __name__ == "__main__":
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token = os.getenv("CLOUDFLARE_TOKEN")
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if not token:
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raise Exception("Env variable CLOUDFLARE_TOKEN is empty")
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base_domain = os.getenv("BASE_DOMAIN", "https://content.clickhouse.tech/")
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changed_files = collect_changed_files()
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print(("Found", len(changed_files), "changed files"))
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filtered_files = filter_and_transform_changed_files(changed_files, base_domain)
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print(("Files rest after filtering", len(filtered_files)))
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prepared_batches = convert_to_dicts(filtered_files, 25)
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post_data(prepared_batches, token)
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