LunaChocken
40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
from time import time
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def aggregate(domains: dict[str, list[str]]) -> list[dict]:
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data = {"no_auth": 0, "no_wan": 0, "auth": 0, "wan": 0, "none": 0}
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for domain, imports in domains.items():
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num = len(imports)
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if num == 0:
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data["none"] += 1
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continue
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if "auth" in imports:
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data["auth"] += 1
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if "wan" in imports:
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data["wan"] += 1
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if "auth" not in imports:
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data["no_auth"] += 1
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if "wan" not in imports:
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data["no_wan"] += 1
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# return data
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p = [
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{
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"metric": {"__name__": "caddy_domain_imports", "import": "caddy_"+imported, "host": "server1"},
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"values": [count],
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"timestamps": [int(time())],
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}
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for imported, count in data.items()
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]
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return p
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def domain_imports(domains: dict[str, list[str]]):
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# print(domains)
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return [
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{"metric": {"__name__": "caddy_domain_imported", "domain": domain, "auth": 1 if "auth" in import_lists else 0, "wan": 1 if "wan" in import_lists else 0}, "values": [1], "timestamps": [int(time())]}
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for domain, import_lists in domains.items()
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]
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