Add auto-update scripts and review examples for PeerTube and PieFed, bringing total auto-updating services to three. The classifier now includes the current and target version in the prompt so it can correctly evaluate conditional upgrade notes like "follow v8.1.0 instructions if upgrading from <= v8.0.2". Without this context the model would conservatively flag patch releases as manual. All auto-update wrappers now use `bash -euo pipefail` when calling remote scripts so failures in upstream deploy/upgrade scripts propagate correctly instead of silently succeeding. test_classifier.py now accepts a service name argument and derives realistic version numbers from the release notes for testing.
115 lines
4.8 KiB
Python
115 lines
4.8 KiB
Python
import json
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import os
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from pathlib import Path
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from typing import Dict, List, Optional
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from urllib.request import Request, urlopen
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def load_update_examples(examples_dir: Path) -> List[Dict[str, str]]:
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examples = []
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for path in sorted(examples_dir.glob("*.txt")):
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text = path.read_text(encoding="utf-8")
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if "---" not in text:
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continue
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header, _, body = text.partition("---\n")
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action = reason = None
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for line in header.strip().splitlines():
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if line.startswith("action:"):
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action = line.split(":", 1)[1].strip()
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elif line.startswith("reason:"):
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reason = line.split(":", 1)[1].strip()
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if action not in ("auto", "manual"):
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continue
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examples.append({"action": action, "reason": reason or "", "notes": body.strip()})
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return examples
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class Classifier:
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def __init__(
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self,
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base_url: str = "",
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model: str = "",
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) -> None:
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self.base_url = base_url or os.getenv("OLLAMA_BASE_URL", "http://192.168.1.20:11434")
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self.model = model or os.getenv("OLLAMA_MODEL", "gemma4:26b-64k")
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def classify(
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self,
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service_dir: Path,
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release_notes: Optional[str],
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current: str,
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latest: str,
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timeout: float,
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) -> Dict[str, str]:
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if not release_notes:
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return {"action": "manual", "reason": "No release notes available; defaulting to manual review."}
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examples_dir = service_dir / "review-examples"
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examples = load_update_examples(examples_dir) if examples_dir.is_dir() else []
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if not examples:
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return {"action": "manual", "reason": "No review examples configured; defaulting to manual review."}
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messages = self._build_messages(service_dir.name, examples, release_notes, current, latest)
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try:
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payload = json.dumps({
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"model": self.model,
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"messages": messages,
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"stream": False,
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"options": {"temperature": 0},
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}).encode("utf-8")
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req = Request(
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f"{self.base_url}/v1/chat/completions",
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data=payload,
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headers={"Content-Type": "application/json"},
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method="POST",
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)
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with urlopen(req, timeout=timeout) as resp:
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data = json.loads(resp.read())
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text = data["choices"][0]["message"]["content"].strip()
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start, end = text.find("{"), text.rfind("}") + 1
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if start == -1 or end == 0:
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raise ValueError(f"No JSON in response: {text[:200]}")
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result = json.loads(text[start:end])
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action = result.get("action", "")
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if action not in ("auto", "manual"):
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raise ValueError(f"Unexpected action value: {action!r}")
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return {"action": action, "reason": result.get("reason", "")}
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except Exception as exc:
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return {"action": "manual", "reason": f"Classification error: {exc}"}
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def _build_messages(
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self,
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service_name: str,
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examples: List[Dict[str, str]],
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release_notes: str,
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current: str,
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latest: str,
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) -> List[Dict[str, str]]:
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system_prompt = (
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f"You are an update safety classifier for self-hosted {service_name} instances.\n"
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"Given release notes for a software update, decide whether the update can be applied\n"
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"automatically (action: auto) or requires the admin to intervene manually before or\n"
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"during the update (action: manual).\n\n"
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"Rules:\n"
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"- Classify only THIS release, not future or past releases mentioned in the notes.\n"
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"- Warnings or announcements about breaking changes in upcoming versions do NOT\n"
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" make the current release manual.\n"
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"- Conditional notes like 'follow X instructions if upgrading from <= Y' only apply\n"
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" if the current running version is <= Y. If we are already past Y, they do not apply.\n"
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'- Respond ONLY with a JSON object: {"action": "auto", "reason": "..."}\n'
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' or {"action": "manual", "reason": "..."}\n'
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"- Keep reason under 60 words."
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)
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messages: List[Dict[str, str]] = [{"role": "system", "content": system_prompt}]
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for ex in examples:
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messages.append({"role": "user", "content": f"Release notes:\n{ex['notes']}"})
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messages.append({
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"role": "assistant",
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"content": json.dumps({"action": ex["action"], "reason": ex["reason"]}),
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})
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messages.append({
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"role": "user",
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"content": f"Upgrading from {current} to {latest}.\n\nRelease notes:\n{release_notes}",
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})
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return messages
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