infra: full IaC state after hf-pdocker-01 rebuild (2026-03-08)

Replaces initial Nomad/Consul/Terraform skeleton with current Docker-based
infrastructure across all three nodes (hf-pdocker-01, hf-pdocker-02, bart).

Key changes:
- CLAUDE.md: updated service distribution reflecting hf-pdocker-01 restored
- docs/plans/2026-03-08-hf-pdocker-01-rebuild.md: new rebuild plan doc
- compose/bart/: ai-agents, guacamole, matrix, media, openvas, smarthome, watchtower
- compose/hf-pdocker-02/: traefik, monitoring, adguard, gitea, semaphore, wikijs,
  unifi, vaultwarden, actual-budget, mcpo, netclaw, trivy, watchtower, n8n
- compose/hf-pdocker-01/: frigate, frigate-notify, farm-agent
- stacks/: all Swarm stack definitions (monitoring, traefik, smarthome, matrix,
  guacamole, media, ai-agents, frigate, gitea, semaphore, wikijs, unifi, etc.)
- .gitignore: exclude .env credential files and acme.json certs
- .env.example: placeholder credential files for all services
- .claude/agents/: gitea-backup and other infrastructure agent configs
- scripts/: frigate media cleanup and NAS sync scripts

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-03-08 18:51:25 -05:00
parent b1d111a011
commit de1d9e1d93
102 changed files with 12634 additions and 3 deletions
@@ -0,0 +1,42 @@
import base64
import logging
import anthropic
logger = logging.getLogger(__name__)
PROMPT = (
"Briefly describe what's happening in this security camera image in 1-2 sentences. "
"Focus on the people, vehicles, or animals and their activity. Be concise."
)
def analyze_snapshot(client: anthropic.Anthropic, image_bytes: bytes) -> str | None:
"""Send a snapshot to Claude Haiku for description. Returns None on failure."""
try:
b64 = base64.standard_b64encode(image_bytes).decode("utf-8")
response = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=150,
messages=[
{
"role": "user",
"content": [
{
"type": "image",
"source": {
"type": "base64",
"media_type": "image/jpeg",
"data": b64,
},
},
{"type": "text", "text": PROMPT},
],
}
],
)
description = response.content[0].text.strip()
logger.info("Vision analysis complete: %d chars", len(description))
return description
except Exception:
logger.exception("Claude Vision API failed")
return None