feat(v3.12.0): media pipeline, AI image generation, capability probe, companion v2.9.0
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Three-month batch sync from internal repo (~80 commits) covering Tracks F.5a, F.7e, F.8, F.17, F.18, F.X.

WordPress media pipeline
- Pillow-based optimization, AI image generation (OpenAI / Stability / Replicate / Google Nano Banana / OpenRouter), chunked + resumable uploads, bulk delete/reassign, idempotent retries.

Capability discovery (F.7e)
- Per-site credential probe + adapters for WordPress / WooCommerce / Gitea, tier-fit unions granted ∪ roles, capability badge UI with HTMX partial re-check, install hint in every companion-unreachable error.

Companion plugin overhaul
- Renamed wordpress-plugin/airano-mcp-seo-bridge → wordpress-plugin/airano-mcp-bridge.
- Eight new endpoints: /capabilities, /bulk-meta, /export, /cache-purge, /transient-flush, /site-health, /audit-hook, /upload-and-attach.
- wp.org Plugin Check pass: i18n, WP_Filesystem, scheme allowlist on audit-hook URL.

Other
- Gitea ergonomics (F.17): batch files, tree, search, compare, releases, fork.
- Opportunistic bcrypt upgrade for legacy SHA-256 admin keys (F.8).
- n8n refactor: structured errors, capability probe, missing tools backfilled.
- Idempotency-Key dedup for AI media upload retries; WP client fast-fails on unreachable sites.

Docs
- README + CLAUDE.md drop the fixed "633 tools" claim. The total grows with each release; per-plugin approximations + dashboard-surfaced counts replace it.
- Tools/Tests badges removed in favour of "Plugins: 10".

Deployment
- PyPI mirror chain, optional BUILD_HTTP_PROXY, Alpine→Yandex apk mirror, Debian-slim Plan-B Dockerfile, mirror.gcr.io variant.

CI
- Black + Ruff clean on Python 3.12; pytest tests/ green.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-04-25 16:25:58 +02:00
parent 788439e377
commit f203ca88de
140 changed files with 23802 additions and 2253 deletions

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core/tool_rate_limiter.py Normal file
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"""Per-tool, per-user rate limiting (F.5a.6).
Provides a small token-bucket limiter keyed by (user_id, tool_name) for
expensive tools such as AI image generation and chunked-upload finish.
Admin / env-fallback callers (``user_id is None``) are exempt.
Intentionally minimal — separate from :mod:`core.rate_limiter` (which is a
global per-client limiter). This one is scoped to specific tools with
small hourly caps.
"""
from __future__ import annotations
import logging
import threading
from dataclasses import dataclass
from core.rate_limiter import TokenBucket
logger = logging.getLogger(__name__)
# Default caps (per hour per user). Documented in ROADMAP F.5a.6.
DEFAULT_LIMITS: dict[str, int] = {
"wordpress_generate_and_upload_image": 10,
"wordpress_upload_media_chunked_finish": 30,
}
@dataclass
class ToolRateLimitError(Exception):
"""Raised when a per-tool limit is exceeded."""
tool_name: str
limit_per_hour: int
retry_after_seconds: float
def __post_init__(self) -> None:
super().__init__(
f"Per-tool rate limit exceeded for '{self.tool_name}' "
f"({self.limit_per_hour}/hour per user). "
f"Retry in {self.retry_after_seconds:.0f}s."
)
def to_dict(self) -> dict:
return {
"error_code": "TOOL_RATE_LIMITED",
"message": str(self),
"details": {
"tool": self.tool_name,
"limit_per_hour": self.limit_per_hour,
"retry_after_seconds": round(self.retry_after_seconds, 2),
},
}
class PerToolRateLimiter:
"""Token-bucket limiter keyed by (user_id, tool_name).
``check(tool, user_id)`` consumes one token and raises
:class:`ToolRateLimitError` when the user is over quota. Admin / env
callers (``user_id`` is None or empty) are exempt.
"""
def __init__(self, limits: dict[str, int] | None = None) -> None:
self._limits = dict(limits if limits is not None else DEFAULT_LIMITS)
self._buckets: dict[tuple[str, str], TokenBucket] = {}
self._lock = threading.Lock()
def configure(self, tool_name: str, per_hour: int) -> None:
"""Override the per-hour cap for a tool."""
self._limits[tool_name] = per_hour
# Existing buckets keep their old capacity until reset — tests can
# reset() to re-read the new limit.
def reset(self) -> None:
with self._lock:
self._buckets.clear()
def check(self, tool_name: str, user_id: str | None) -> None:
"""Consume one token for (user_id, tool_name). Exempt when user_id is falsy."""
if not user_id:
return
limit = self._limits.get(tool_name)
if limit is None or limit <= 0:
return
key = (user_id, tool_name)
with self._lock:
bucket = self._buckets.get(key)
if bucket is None:
bucket = TokenBucket(capacity=limit, refill_rate=limit / 3600.0)
self._buckets[key] = bucket
if not bucket.consume(1):
wait = bucket.get_wait_time(1)
logger.warning(
"Per-tool rate limit hit: user=%s tool=%s limit=%d/h retry_after=%.1fs",
user_id,
tool_name,
limit,
wait,
)
raise ToolRateLimitError(
tool_name=tool_name, limit_per_hour=limit, retry_after_seconds=wait
)
_limiter: PerToolRateLimiter | None = None
def get_tool_rate_limiter() -> PerToolRateLimiter:
global _limiter
if _limiter is None:
_limiter = PerToolRateLimiter()
return _limiter
def set_tool_rate_limiter(limiter: PerToolRateLimiter | None) -> None:
"""Override the singleton (used by tests)."""
global _limiter
_limiter = limiter