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.
181 lines
6.2 KiB
Python
181 lines
6.2 KiB
Python
#!/usr/bin/env python3
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"""
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Test the Ollama model's ability to classify release notes.
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Runs leave-one-out: for each example, uses the rest as few-shot context
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and checks whether the model predicts the correct action.
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Usage: python test_classifier.py [service_name]
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service_name defaults to "immich"
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"""
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import json
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import os
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import sys
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from pathlib import Path
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from urllib.request import Request, urlopen
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import re as _re
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OLLAMA_BASE_URL = os.getenv("OLLAMA_BASE_URL", "http://192.168.1.20:11434")
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OLLAMA_MODEL = os.getenv("OLLAMA_MODEL", "gemma4:26b-64k")
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SERVICE_NAME = sys.argv[1] if len(sys.argv) > 1 else "immich"
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EXAMPLES_DIR = Path(__file__).parent / "services" / SERVICE_NAME / "review-examples"
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def guess_version_from_notes(notes: str) -> str:
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"""Extract a version number from release notes (e.g. '# v2.7.0' or '### v8.1.5')."""
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match = _re.search(r"v?(\d+\.\d+\.\d+)", notes)
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return match.group(1) if match else "1.0.0"
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def make_previous_version(version: str) -> str:
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"""Decrement patch to simulate upgrading from the previous patch release."""
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parts = version.split(".")
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if len(parts) == 3 and parts[2].isdigit():
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patch = int(parts[2])
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if patch > 0:
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return f"{parts[0]}.{parts[1]}.{patch - 1}"
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return version
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def load_examples(directory: Path) -> list[dict]:
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examples = []
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for path in sorted(directory.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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print(f"WARNING: {path.name} has no frontmatter separator, skipping")
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continue
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header, _, body = text.partition("---\n")
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action = None
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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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print(f"WARNING: {path.name} has invalid action '{action}', skipping")
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continue
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examples.append({
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"file": path.name,
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"action": action,
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"reason": reason or "",
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"notes": body.strip(),
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})
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return examples
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def build_messages(examples: list[dict], target_notes: str, current: str = "1.0.0", latest: str = "2.0.0") -> list[dict]:
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system = (
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f"You are an update safety classifier for self-hosted {SERVICE_NAME} instances.\n"
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f"Given release notes for a {SERVICE_NAME} update, decide whether the update can be\n"
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"applied automatically (action: auto) or requires the admin to intervene\n"
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"manually before or 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 = [{"role": "system", "content": system}]
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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({"role": "user", "content": f"Upgrading from {current} to {latest}.\n\nRelease notes:\n{target_notes}"})
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return messages
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def call_ollama(messages: list[dict]) -> dict:
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payload = json.dumps({
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"model": OLLAMA_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"{OLLAMA_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=300) as resp:
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data = json.loads(resp.read())
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return data
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def parse_response(text: str) -> dict:
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text = text.strip()
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# extract JSON from response (model may wrap it in markdown)
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start = text.find("{")
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end = text.rfind("}") + 1
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if start == -1 or end == 0:
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return {"action": "parse_error", "reason": text[:200]}
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try:
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return json.loads(text[start:end])
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except json.JSONDecodeError:
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return {"action": "parse_error", "reason": text[:200]}
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def main():
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examples = load_examples(EXAMPLES_DIR)
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if not examples:
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print("No examples found.")
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sys.exit(1)
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print(f"Loaded {len(examples)} examples from {EXAMPLES_DIR}")
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print(f"Model: {OLLAMA_MODEL}")
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print(f"Running leave-one-out test ({len(examples)} calls)...\n")
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passed = 0
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failed = 0
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for i, target in enumerate(examples):
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few_shot = [ex for j, ex in enumerate(examples) if j != i]
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latest = guess_version_from_notes(target["notes"])
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current = make_previous_version(latest)
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messages = build_messages(few_shot, target["notes"], current, latest)
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try:
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response = call_ollama(messages)
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content = response["choices"][0]["message"]["content"]
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result = parse_response(content)
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except Exception as exc:
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result = {"action": "error", "reason": str(exc)}
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predicted = result.get("action", "error")
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expected = target["action"]
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ok = predicted == expected
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status = "PASS" if ok else "FAIL"
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if ok:
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passed += 1
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else:
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failed += 1
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print(f"[{status}] {target['file']}")
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print(f" expected : {expected}")
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print(f" predicted: {predicted}")
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print(f" reason : {result.get('reason', '')}")
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print()
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print(f"Results: {passed}/{len(examples)} passed", end="")
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if failed:
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print(f", {failed} failed")
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else:
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print(" — all correct!")
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sys.exit(0 if failed == 0 else 1)
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if __name__ == "__main__":
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main()
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