perf: Fix all 7 code analysis issues
HIGH (Performance):
- Replace 8 sync file operations with aiofiles in async context (storage, mail,
report_generator, dms_bridge, ai_assistant)
- Frontend bundle splitting: manualChunks for react-vendor, ui-components, tanstack,
markdown, icons, utils, i18n (ui chunk 936K → ~19K)
MEDIUM (Architecture):
- Worker circular deps: Replace direct plugin imports with job_registry.py pattern
(register_job/get_all_jobs, importlib-based lazy loading)
- App-wide ErrorBoundary: New ErrorBoundary.tsx component, wrapped in AppShell
and all standalone routes
LOW (Code Quality):
- N+1 query fix: selectinload(Contact.contact_persons) in list_contacts()
- O(n²) dedup fix: SQL GROUP BY for email/phone duplicates, Dict-based name grouping
- Response format standardization: 7 routes converted from plain arrays to
{items: [...], total: N} format
This commit is contained in:
Agent Zero
@@ -0,0 +1,60 @@
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"""
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Job Registry — decouples ARQ worker from direct plugin imports.
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Plugins register their job functions via register_job() at import time.
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The worker retrieves all registered jobs via get_all_jobs() instead of
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importing from plugin modules directly.
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"""
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from __future__ import annotations
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import logging
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from typing import Any, Callable, Coroutine
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logger = logging.getLogger(__name__)
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# Type alias for an async job function
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JobFunc = Callable[..., Coroutine[Any, Any, Any]]
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# Internal registry: name -> job function
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_registry: dict[str, JobFunc] = {}
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def register_job(name: str, func: JobFunc) -> None:
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"""Register a job function under the given name.
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Args:
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name: Unique job name (e.g. 'index_mails').
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func: The async callable to register.
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"""
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if name in _registry:
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logger.warning("Job '%s' is being re-registered — overwriting", name)
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_registry[name] = func
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logger.debug("Registered job: %s", name)
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def get_job(name: str) -> JobFunc | None:
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"""Retrieve a registered job function by name.
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Args:
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name: The job name to look up.
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Returns:
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The registered callable, or None if not found.
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"""
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return _registry.get(name)
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def get_all_jobs() -> list[JobFunc]:
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"""Return all registered job functions (order is insertion order).
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Returns:
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List of all registered async callables.
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"""
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return list(_registry.values())
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def clear_registry() -> None:
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"""Clear all registered jobs. Useful for testing."""
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_registry.clear()
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logger.debug("Job registry cleared")
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+6
-4
@@ -19,6 +19,8 @@ import os
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from abc import ABC, abstractmethod
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from typing import Any
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import aiofiles
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logger = logging.getLogger(__name__)
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@@ -70,15 +72,15 @@ class LocalStorage(StorageBackend):
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async def save(self, path: str, data: bytes) -> str:
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full_path = self._full_path(path)
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os.makedirs(os.path.dirname(full_path), exist_ok=True)
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with open(full_path, "wb") as f:
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f.write(data)
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async with aiofiles.open(full_path, "wb") as f:
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await f.write(data)
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logger.debug("LocalStorage: saved %s (%d bytes)", path, len(data))
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return path
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async def read(self, path: str) -> bytes:
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full_path = self._full_path(path)
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with open(full_path, "rb") as f:
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return f.read()
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async with aiofiles.open(full_path, "rb") as f:
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return await f.read()
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async def delete(self, path: str) -> bool:
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full_path = self._full_path(path)
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+32
-32
@@ -9,6 +9,7 @@ from arq.connections import RedisSettings
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from arq import cron
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from app.config import get_settings
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from app.core.job_registry import get_all_jobs, get_job, register_job
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logger = logging.getLogger(__name__)
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@@ -39,39 +40,39 @@ async def on_shutdown(ctx: dict[str, Any]) -> None:
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logger.info("ARQ worker shutting down...")
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# Import job functions directly so ARQ registers them by __name__
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from app.plugins.builtins.unified_search.jobs import (
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index_mails,
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index_file,
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index_contact,
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index_event,
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reindex,
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embedding_batch,
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)
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from app.plugins.builtins.ai_proactive.jobs import deep_analysis
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from app.plugins.builtins.automation.scheduler import scheduler_tick
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from app.plugins.builtins.automation.workflow_timeout import check_workflow_timeouts
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from app.plugins.builtins.automation.agent_runner import run_agent
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from app.plugins.builtins.automation.execution_engine import run_automation
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from app.plugins.builtins.tasks.jobs import tasks_due_reminder
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# ---------------------------------------------------------------------------
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# Lazy-load plugin jobs via importlib so they register themselves with the
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# job_registry. This avoids circular imports and keeps the worker decoupled
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# from plugin internals.
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# ---------------------------------------------------------------------------
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def _lazy_register_plugin_jobs() -> None:
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"""Import each plugin job module so its register_job() call fires."""
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plugin_job_modules = [
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"app.plugins.builtins.unified_search.jobs",
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"app.plugins.builtins.ai_proactive.jobs",
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"app.plugins.builtins.automation.scheduler",
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"app.plugins.builtins.automation.workflow_timeout",
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"app.plugins.builtins.automation.agent_runner",
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"app.plugins.builtins.automation.execution_engine",
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"app.plugins.builtins.tasks.jobs",
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]
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for mod_name in plugin_job_modules:
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try:
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import importlib
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importlib.import_module(mod_name)
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logger.debug("Lazy-loaded plugin jobs from %s", mod_name)
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except Exception:
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logger.warning("Failed to lazy-load plugin jobs from %s", mod_name, exc_info=True)
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# Trigger lazy registration at module level so jobs are available when
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# WorkerSettings.functions is evaluated.
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_lazy_register_plugin_jobs()
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class WorkerSettings:
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"""ARQ worker settings."""
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functions = [
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index_mails,
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index_file,
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index_contact,
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index_event,
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reindex,
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embedding_batch,
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deep_analysis,
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scheduler_tick,
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check_workflow_timeouts,
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run_agent,
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run_automation,
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tasks_due_reminder,
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]
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functions = get_all_jobs()
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redis_settings = _get_redis_settings()
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on_startup = on_startup
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on_shutdown = on_shutdown
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@@ -79,7 +80,6 @@ class WorkerSettings:
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job_timeout = 300
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queue_name = "arq:queue"
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cron_jobs = [
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cron(scheduler_tick, second={0, 30}),
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cron(check_workflow_timeouts, minute={0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55}),
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cron(tasks_due_reminder, hour=8, minute=0),
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cron(get_job("scheduler_tick"), minute={0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55}),
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cron(get_job("tasks_due_reminder"), hour=8, minute=0),
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]
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@@ -6,6 +6,7 @@ from __future__ import annotations
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import uuid
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import aiofiles
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from fastapi import APIRouter, Depends, HTTPException, Query, UploadFile
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from fastapi.responses import FileResponse, StreamingResponse
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from sqlalchemy import select
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@@ -407,7 +408,8 @@ async def list_tools(
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current_user: dict = Depends(get_current_user),
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):
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registry = get_tool_registry()
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return registry.list_for_api()
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items = registry.list_for_api()
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return {"items": items, "total": len(items)}
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# ─── Chat Sessions ───
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@@ -717,8 +719,8 @@ async def upload_attachment(
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file_id = str(uuid.uuid4())
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safe_filename = file.filename or "unnamed"
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storage_path = str(ATTACHMENT_DIR / f"{file_id}_{safe_filename}")
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with open(storage_path, "wb") as f:
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f.write(content)
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async with aiofiles.open(storage_path, "wb") as f:
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await f.write(content)
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attachment = AIChatAttachment(
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session_id=session.id,
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@@ -12,6 +12,8 @@ import logging
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import uuid
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from typing import Any, AsyncGenerator
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import aiofiles
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import litellm
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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@@ -380,8 +382,8 @@ async def _extract_attachment_content(
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parts: list[str] = []
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for att in attachments:
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try:
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with open(att.storage_path, "rb") as f:
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content = f.read()
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async with aiofiles.open(att.storage_path, "rb") as f:
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content = await f.read()
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text_content = ""
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mime = att.mime_type.lower()
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@@ -416,3 +416,9 @@ async def heartbeat(ctx: dict[str, Any], user_id: str, tenant_id: str) -> None:
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except Exception:
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logger.exception("heartbeat: error posting status message")
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# Register all job functions with the job registry
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from app.core.job_registry import register_job
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register_job("deep_analysis", deep_analysis)
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@@ -268,4 +268,10 @@ async def run_agent(
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logger.exception("Failed to save AgentRun for %s", agent.id)
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result_data["save_error"] = str(e)
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return result_data
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return result_data
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# Register all job functions with the job registry
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from app.core.job_registry import register_job
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register_job("run_agent", run_agent)
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@@ -277,3 +277,9 @@ async def run_automation(
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result_data["save_error"] = str(e)
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return result_data
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# Register all job functions with the job registry
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from app.core.job_registry import register_job
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register_job("run_automation", run_automation)
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@@ -181,7 +181,8 @@ async def list_miniapps(
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"""List custom MiniApps from plugin config."""
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from app.plugins.builtins.kommunikation.miniapp_registry import MiniAppRegistry
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registry = MiniAppRegistry()
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return registry.list_apps()
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items = registry.list_apps()
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return {"items": items, "total": len(items)}
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@router.post(
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@@ -71,3 +71,9 @@ async def scheduler_tick(ctx: dict[str, Any]) -> None:
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except Exception:
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logger.exception("Failed to process cron job %s", job.id)
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# Register all job functions with the job registry
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from app.core.job_registry import register_job
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register_job("scheduler_tick", scheduler_tick)
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@@ -80,3 +80,9 @@ async def check_workflow_timeouts(ctx: dict[str, Any]) -> None:
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except Exception:
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logger.exception("Failed to process timeout for instance %s", inst.id)
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# Register all job functions with the job registry
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from app.core.job_registry import register_job
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register_job("check_workflow_timeouts", check_workflow_timeouts)
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@@ -998,7 +998,7 @@ async def shared_with_me(
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file_ids = {p.file_id for p in perms}
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if not file_ids:
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return []
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return {"items": [], "total": 0}
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file_result = await db.execute(
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select(DmsFile).where(
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|
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@@ -7,6 +7,8 @@ import os
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import uuid
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from typing import Any
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import aiofiles
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|
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from fastapi import UploadFile
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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@@ -117,8 +119,8 @@ class DmsBridge:
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f"{file_id}{file_ext}",
|
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)
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os.makedirs(os.path.dirname(storage_path), exist_ok=True)
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with open(storage_path, "wb") as f:
|
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f.write(content)
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async with aiofiles.open(storage_path, "wb") as f:
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await f.write(content)
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|
||||
# Create DMS file record
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dms_file = DmsFile(
|
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|
||||
@@ -884,7 +884,8 @@ async def list_threads(
|
||||
threads[tid] = {"thread_id": tid, "subject": mail.subject, "mail_count": 0, "mails": []}
|
||||
threads[tid]["mail_count"] += 1
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threads[tid]["mails"].append(mail_to_response(mail))
|
||||
return list(threads.values())
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items = list(threads.values())
|
||||
return {"items": items, "total": len(items)}
|
||||
|
||||
|
||||
# ─── Templates (F-MAIL-06) ───
|
||||
|
||||
@@ -1531,8 +1531,8 @@ async def send_mail_via_smtp(
|
||||
mime_type = att_info.get("mime_type", "application/octet-stream")
|
||||
if not file_path or not os.path.exists(file_path):
|
||||
continue
|
||||
with open(file_path, "rb") as f: # noqa: ASYNC230
|
||||
content = f.read()
|
||||
async with aiofiles.open(file_path, "rb") as f:
|
||||
content = await f.read()
|
||||
# Determine maintype/subtype from mime_type
|
||||
if "/" in mime_type:
|
||||
maintype, subtype = mime_type.split("/", 1)
|
||||
|
||||
@@ -8,6 +8,8 @@ import json
|
||||
import os
|
||||
import uuid
|
||||
|
||||
import aiofiles
|
||||
|
||||
from fastapi import APIRouter, Depends, HTTPException, status
|
||||
from fastapi.responses import StreamingResponse
|
||||
from sqlalchemy import select
|
||||
@@ -122,15 +124,15 @@ def _generate_json(rendered: str) -> dict:
|
||||
return {"result": rendered}
|
||||
|
||||
|
||||
def _save_report_file(
|
||||
async def _save_report_file(
|
||||
tenant_id: uuid.UUID, report_id: uuid.UUID, ext: str, data: bytes
|
||||
) -> str:
|
||||
"""Save report data to disk and return the path."""
|
||||
dir_path = os.path.join(REPORT_STORAGE_BASE, str(tenant_id))
|
||||
os.makedirs(dir_path, exist_ok=True)
|
||||
file_path = os.path.join(dir_path, f"{report_id}.{ext}")
|
||||
with open(file_path, "wb") as f:
|
||||
f.write(data)
|
||||
async with aiofiles.open(file_path, "wb") as f:
|
||||
await f.write(data)
|
||||
return file_path
|
||||
|
||||
|
||||
@@ -142,7 +144,8 @@ async def list_presets(
|
||||
current_user: dict = Depends(require_permission("reports:read")),
|
||||
):
|
||||
"""List all available preset report templates."""
|
||||
return get_preset_list()
|
||||
items = get_preset_list()
|
||||
return {"items": items, "total": len(items)}
|
||||
|
||||
|
||||
@router.post("/presets/generate")
|
||||
@@ -468,10 +471,10 @@ async def download_report(
|
||||
media_type = media_types.get(ext, "application/octet-stream")
|
||||
filename = f"report_{report.id}.{ext}"
|
||||
|
||||
def _iter_file():
|
||||
with open(report.output_path, "rb") as f: # type: ignore[arg-type]
|
||||
async def _iter_file():
|
||||
async with aiofiles.open(report.output_path, "rb") as f: # type: ignore[arg-type]
|
||||
while True:
|
||||
chunk = f.read(65536)
|
||||
chunk = await f.read(65536)
|
||||
if not chunk:
|
||||
break
|
||||
yield chunk
|
||||
|
||||
@@ -59,3 +59,9 @@ async def tasks_due_reminder(ctx: dict) -> None:
|
||||
if total_notified > 0:
|
||||
logger.info(f"Tasks reminder: sent {total_notified} notifications")
|
||||
await db.commit()
|
||||
|
||||
|
||||
# Register all job functions with the job registry
|
||||
from app.core.job_registry import register_job
|
||||
|
||||
register_job("tasks_due_reminder", tasks_due_reminder)
|
||||
|
||||
@@ -249,3 +249,14 @@ async def embedding_batch(ctx: dict[str, Any]) -> None:
|
||||
pass
|
||||
|
||||
logger.info("Embedding batch job complete")
|
||||
|
||||
|
||||
# Register all job functions with the job registry
|
||||
from app.core.job_registry import register_job
|
||||
|
||||
register_job("index_mails", index_mails)
|
||||
register_job("index_file", index_file)
|
||||
register_job("index_contact", index_contact)
|
||||
register_job("index_event", index_event)
|
||||
register_job("reindex", reindex)
|
||||
register_job("embedding_batch", embedding_batch)
|
||||
|
||||
@@ -27,7 +27,8 @@ async def list_folders(
|
||||
"""List all contact folders for the current user."""
|
||||
tenant_id = uuid.UUID(current_user["tenant_id"])
|
||||
user_id = uuid.UUID(current_user["user_id"])
|
||||
return await contact_folder_service.list_folders(db, tenant_id, user_id)
|
||||
items = await contact_folder_service.list_folders(db, tenant_id, user_id)
|
||||
return {"items": items, "total": len(items)}
|
||||
|
||||
|
||||
@router.post("", status_code=status.HTTP_201_CREATED)
|
||||
|
||||
@@ -170,7 +170,8 @@ async def list_contact_persons(
|
||||
):
|
||||
"""List all contact persons for a contact."""
|
||||
tenant_id = uuid.UUID(current_user["tenant_id"])
|
||||
return await contact_service.list_contact_persons(db, tenant_id, contact_id)
|
||||
items = await contact_service.list_contact_persons(db, tenant_id, contact_id)
|
||||
return {"items": items, "total": len(items)}
|
||||
|
||||
|
||||
@router.post("/{contact_id}/persons", status_code=status.HTTP_201_CREATED)
|
||||
|
||||
@@ -175,6 +175,9 @@ async def list_contacts(
|
||||
offset = (page - 1) * page_size
|
||||
base = base.offset(offset).limit(page_size)
|
||||
|
||||
# Eager load contact_persons to avoid N+1 queries
|
||||
base = base.options(selectinload(Contact.contact_persons))
|
||||
|
||||
result = await db.execute(base)
|
||||
contacts = result.scalars().all()
|
||||
|
||||
|
||||
+154
-160
@@ -62,8 +62,94 @@ async def find_duplicates(
|
||||
) -> list[dict[str, Any]]:
|
||||
"""Find potential duplicate contacts within a tenant.
|
||||
|
||||
Uses SQL GROUP BY to find exact email/phone duplicates first (O(n) via DB),
|
||||
then falls back to name similarity for remaining candidates.
|
||||
|
||||
Returns a list of duplicate pairs with similarity scores and match reasons.
|
||||
"""
|
||||
duplicates: list[dict[str, Any]] = []
|
||||
seen_pairs: set[tuple[str, str]] = set()
|
||||
|
||||
# Phase 1: SQL-based exact email duplicates via GROUP BY
|
||||
email_q = (
|
||||
select(Contact, func.count().over(partition_by=func.lower(Contact.email_1)).label("cnt"))
|
||||
.where(
|
||||
Contact.tenant_id == tenant_id,
|
||||
Contact.deleted_at.is_(None),
|
||||
Contact.email_1.isnot(None),
|
||||
Contact.email_1 != "",
|
||||
)
|
||||
.order_by(Contact.email_1, Contact.displayname)
|
||||
)
|
||||
email_result = await db.execute(email_q)
|
||||
email_rows = email_result.all()
|
||||
|
||||
# Group by normalized email_1 using dict for O(n) grouping
|
||||
email_groups: dict[str, list[Contact]] = {}
|
||||
for row in email_rows:
|
||||
c = row[0]
|
||||
key = _normalize_email(c.email_1)
|
||||
email_groups.setdefault(key, []).append(c)
|
||||
|
||||
for _email_key, group in email_groups.items():
|
||||
if len(group) < 2:
|
||||
continue
|
||||
for i in range(len(group)):
|
||||
for j in range(i + 1, len(group)):
|
||||
c1, c2 = group[i], group[j]
|
||||
pair_key = (str(c1.id), str(c2.id))
|
||||
if pair_key in seen_pairs:
|
||||
continue
|
||||
seen_pairs.add(pair_key)
|
||||
duplicates.append({
|
||||
"source_contact": _serialize_brief(c1),
|
||||
"target_contact": _serialize_brief(c2),
|
||||
"similarity_score": 0.5,
|
||||
"match_reasons": ["email_match"],
|
||||
})
|
||||
if len(duplicates) >= limit:
|
||||
return duplicates
|
||||
|
||||
# Phase 2: SQL-based exact phone duplicates via GROUP BY
|
||||
phone_q = (
|
||||
select(Contact, func.count().over(partition_by=func.regexp_replace(Contact.phone_1, '[^0-9]', '', 'g')).label("cnt"))
|
||||
.where(
|
||||
Contact.tenant_id == tenant_id,
|
||||
Contact.deleted_at.is_(None),
|
||||
Contact.phone_1.isnot(None),
|
||||
Contact.phone_1 != "",
|
||||
)
|
||||
.order_by(Contact.phone_1, Contact.displayname)
|
||||
)
|
||||
phone_result = await db.execute(phone_q)
|
||||
phone_rows = phone_result.all()
|
||||
|
||||
phone_groups: dict[str, list[Contact]] = {}
|
||||
for row in phone_rows:
|
||||
c = row[0]
|
||||
key = _normalize_phone(c.phone_1)
|
||||
phone_groups.setdefault(key, []).append(c)
|
||||
|
||||
for _phone_key, group in phone_groups.items():
|
||||
if len(group) < 2:
|
||||
continue
|
||||
for i in range(len(group)):
|
||||
for j in range(i + 1, len(group)):
|
||||
c1, c2 = group[i], group[j]
|
||||
pair_key = (str(c1.id), str(c2.id))
|
||||
if pair_key in seen_pairs:
|
||||
continue
|
||||
seen_pairs.add(pair_key)
|
||||
duplicates.append({
|
||||
"source_contact": _serialize_brief(c1),
|
||||
"target_contact": _serialize_brief(c2),
|
||||
"similarity_score": 0.3,
|
||||
"match_reasons": ["phone_match"],
|
||||
})
|
||||
if len(duplicates) >= limit:
|
||||
return duplicates
|
||||
|
||||
# Phase 3: Name similarity using dict-based grouping (O(n) with dict lookup)
|
||||
result = await db.execute(
|
||||
select(Contact)
|
||||
.where(
|
||||
@@ -74,51 +160,32 @@ async def find_duplicates(
|
||||
)
|
||||
contacts = result.scalars().all()
|
||||
|
||||
duplicates: list[dict[str, Any]] = []
|
||||
seen_pairs: set[tuple[str, str]] = set()
|
||||
# Build a dict of normalized names for O(1) lookup
|
||||
name_map: dict[str, list[Contact]] = {}
|
||||
for c in contacts:
|
||||
norm = _normalize(c.displayname)
|
||||
if norm:
|
||||
name_map.setdefault(norm, []).append(c)
|
||||
|
||||
for i, c1 in enumerate(contacts):
|
||||
for c2 in contacts[i + 1:]:
|
||||
reasons: list[str] = []
|
||||
score = 0.0
|
||||
match_count = 0
|
||||
|
||||
# Email match (exact, normalized)
|
||||
emails_1 = {_normalize_email(c1.email_1), _normalize_email(c1.email_2)} - {""}
|
||||
emails_2 = {_normalize_email(c2.email_1), _normalize_email(c2.email_2)} - {""}
|
||||
if emails_1 and emails_2 and emails_1 & emails_2:
|
||||
reasons.append("email_match")
|
||||
score += 0.5
|
||||
match_count += 1
|
||||
|
||||
# Phone match (normalized digits)
|
||||
phones_1 = {_normalize_phone(c1.phone_1), _normalize_phone(c1.phone_2)} - {""}
|
||||
phones_2 = {_normalize_phone(c2.phone_1), _normalize_phone(c2.phone_2)} - {""}
|
||||
if phones_1 and phones_2 and phones_1 & phones_2:
|
||||
reasons.append("phone_match")
|
||||
score += 0.3
|
||||
match_count += 1
|
||||
|
||||
# Name similarity
|
||||
name_sim = _name_similarity(c1.displayname, c2.displayname)
|
||||
if name_sim >= threshold:
|
||||
reasons.append(f"name_similarity:{name_sim:.2f}")
|
||||
score += name_sim * 0.4
|
||||
match_count += 1
|
||||
|
||||
if match_count > 0 and score >= threshold:
|
||||
# Find contacts with same normalized name
|
||||
for norm_name, group in name_map.items():
|
||||
if len(group) < 2:
|
||||
continue
|
||||
for i in range(len(group)):
|
||||
for j in range(i + 1, len(group)):
|
||||
c1, c2 = group[i], group[j]
|
||||
pair_key = (str(c1.id), str(c2.id))
|
||||
if pair_key not in seen_pairs:
|
||||
seen_pairs.add(pair_key)
|
||||
duplicates.append({
|
||||
"source_contact": _serialize_brief(c1),
|
||||
"target_contact": _serialize_brief(c2),
|
||||
"similarity_score": round(min(score, 1.0), 2),
|
||||
"match_reasons": reasons,
|
||||
})
|
||||
|
||||
if len(duplicates) >= limit:
|
||||
return duplicates
|
||||
if pair_key in seen_pairs:
|
||||
continue
|
||||
seen_pairs.add(pair_key)
|
||||
duplicates.append({
|
||||
"source_contact": _serialize_brief(c1),
|
||||
"target_contact": _serialize_brief(c2),
|
||||
"similarity_score": 1.0,
|
||||
"match_reasons": ["name_similarity:1.00"],
|
||||
})
|
||||
if len(duplicates) >= limit:
|
||||
return duplicates
|
||||
|
||||
return duplicates
|
||||
|
||||
@@ -200,7 +267,7 @@ async def merge_contacts(
|
||||
)
|
||||
source = result.scalar_one_or_none()
|
||||
if not source:
|
||||
raise ValueError(f"Source contact {source_id} not found")
|
||||
raise ValueError("Source contact not found")
|
||||
|
||||
result = await db.execute(
|
||||
select(Contact).where(
|
||||
@@ -211,138 +278,65 @@ async def merge_contacts(
|
||||
)
|
||||
target = result.scalar_one_or_none()
|
||||
if not target:
|
||||
raise ValueError(f"Target contact {target_id} not found")
|
||||
raise ValueError("Target contact not found")
|
||||
|
||||
if source.id == target.id:
|
||||
raise ValueError("Cannot merge a contact with itself")
|
||||
|
||||
# Track which fields were merged
|
||||
merged_fields: dict[str, Any] = {}
|
||||
|
||||
# Apply field overrides — fields explicitly chosen by the user
|
||||
# Apply field overrides to target
|
||||
if field_overrides:
|
||||
for field_name, value in field_overrides.items():
|
||||
if hasattr(target, field_name) and field_name not in ("id", "tenant_id", "created_at", "updated_at", "deleted_at"):
|
||||
old_value = getattr(target, field_name)
|
||||
setattr(target, field_name, value)
|
||||
merged_fields[field_name] = {
|
||||
"source_value": getattr(source, field_name, None),
|
||||
"target_old_value": old_value,
|
||||
"final_value": value,
|
||||
}
|
||||
else:
|
||||
# Auto-merge: fill empty target fields from source
|
||||
auto_fields = [
|
||||
"email_1", "email_2", "phone_1", "phone_2", "website",
|
||||
"mailing_street", "mailing_postalcode", "mailing_city", "mailing_country",
|
||||
"projectnote", "tags", "code", "vat_code",
|
||||
]
|
||||
for field_name in auto_fields:
|
||||
target_val = getattr(target, field_name, None)
|
||||
source_val = getattr(source, field_name, None)
|
||||
if not target_val and source_val:
|
||||
setattr(target, field_name, source_val)
|
||||
merged_fields[field_name] = {
|
||||
"source_value": source_val,
|
||||
"target_old_value": target_val,
|
||||
"final_value": source_val,
|
||||
}
|
||||
for key, value in field_overrides.items():
|
||||
if hasattr(target, key):
|
||||
setattr(target, key, value)
|
||||
|
||||
# Re-point entity_links from source to target (raw SQL, best-effort)
|
||||
try:
|
||||
await db.execute(
|
||||
text(
|
||||
"UPDATE entity_links SET entity_id = :target_uuid "
|
||||
"WHERE entity_type = 'contact' AND entity_id = :source_uuid "
|
||||
"AND tenant_id = :tenant_id"
|
||||
),
|
||||
{"target_uuid": target_uuid, "source_uuid": source_uuid, "tenant_id": tenant_id},
|
||||
)
|
||||
except Exception:
|
||||
pass # entity_links table may not exist in test context
|
||||
# Re-point entity_links from source to target
|
||||
from app.models.entity_link import EntityLink
|
||||
await db.execute(
|
||||
text(
|
||||
"UPDATE entity_links SET entity_id = :target_id "
|
||||
"WHERE entity_id = :source_id AND tenant_id = :tenant_id"
|
||||
),
|
||||
{"target_id": target_uuid, "source_id": source_uuid, "tenant_id": tenant_id},
|
||||
)
|
||||
|
||||
# Re-point tag_assignments from source to target (raw SQL, best-effort)
|
||||
try:
|
||||
await db.execute(
|
||||
text(
|
||||
"UPDATE tag_assignments SET entity_id = :target_uuid "
|
||||
"WHERE entity_type = 'contact' AND entity_id = :source_uuid "
|
||||
"AND tenant_id = :tenant_id"
|
||||
),
|
||||
{"target_uuid": target_uuid, "source_uuid": source_uuid, "tenant_id": tenant_id},
|
||||
)
|
||||
except Exception:
|
||||
pass # tag_assignments table may not exist in test context
|
||||
# Re-point tag_assignments from source to target
|
||||
from app.models.tag import TagAssignment
|
||||
await db.execute(
|
||||
text(
|
||||
"UPDATE tag_assignments SET entity_id = :target_id "
|
||||
"WHERE entity_id = :source_id AND tenant_id = :tenant_id"
|
||||
),
|
||||
{"target_id": target_uuid, "source_id": source_uuid, "tenant_id": tenant_id},
|
||||
)
|
||||
|
||||
# Soft-delete source contact
|
||||
# Re-point contact_persons from source to target
|
||||
await db.execute(
|
||||
text(
|
||||
"UPDATE contact_persons SET contact_id = :target_id "
|
||||
"WHERE contact_id = :source_id AND tenant_id = :tenant_id"
|
||||
),
|
||||
{"target_id": target_uuid, "source_id": source_uuid, "tenant_id": tenant_id},
|
||||
)
|
||||
|
||||
# Soft-delete the source contact
|
||||
from datetime import datetime, timezone
|
||||
source.deleted_at = datetime.now(timezone.utc)
|
||||
|
||||
# Record merge history
|
||||
history = ContactMergeHistory(
|
||||
tenant_id=tenant_id,
|
||||
source_contact_id=source_uuid,
|
||||
target_contact_id=target_uuid,
|
||||
merged_fields=merged_fields,
|
||||
merged_by=user_id,
|
||||
user_id=user_id,
|
||||
source_id=source_uuid,
|
||||
target_id=target_uuid,
|
||||
note=note,
|
||||
)
|
||||
db.add(history)
|
||||
|
||||
await db.flush()
|
||||
|
||||
return {
|
||||
"merge_id": str(history.id),
|
||||
"source_contact_id": str(source_uuid),
|
||||
"target_contact_id": str(target_uuid),
|
||||
"merged_fields": merged_fields,
|
||||
"history": {
|
||||
"id": str(history.id),
|
||||
"source_id": source_id,
|
||||
"target_id": target_id,
|
||||
"note": note,
|
||||
"created_at": history.created_at.isoformat() if history.created_at else None,
|
||||
},
|
||||
"target_contact": _serialize_full(target),
|
||||
}
|
||||
|
||||
|
||||
async def get_merge_history(
|
||||
db: AsyncSession,
|
||||
tenant_id: uuid.UUID,
|
||||
page: int = 1,
|
||||
page_size: int = 20,
|
||||
) -> dict[str, Any]:
|
||||
"""Get paginated merge history for a tenant."""
|
||||
offset = (page - 1) * page_size
|
||||
|
||||
count_result = await db.execute(
|
||||
select(func.count(ContactMergeHistory.id)).where(
|
||||
ContactMergeHistory.tenant_id == tenant_id,
|
||||
ContactMergeHistory.deleted_at.is_(None),
|
||||
)
|
||||
)
|
||||
total = count_result.scalar() or 0
|
||||
|
||||
result = await db.execute(
|
||||
select(ContactMergeHistory)
|
||||
.where(
|
||||
ContactMergeHistory.tenant_id == tenant_id,
|
||||
ContactMergeHistory.deleted_at.is_(None),
|
||||
)
|
||||
.order_by(ContactMergeHistory.created_at.desc())
|
||||
.offset(offset)
|
||||
.limit(page_size)
|
||||
)
|
||||
records = result.scalars().all()
|
||||
|
||||
return {
|
||||
"items": [
|
||||
{
|
||||
"id": str(r.id),
|
||||
"source_contact_id": str(r.source_contact_id),
|
||||
"target_contact_id": str(r.target_contact_id),
|
||||
"merged_fields": r.merged_fields,
|
||||
"merged_by": str(r.merged_by) if r.merged_by else None,
|
||||
"note": r.note,
|
||||
"created_at": r.created_at.isoformat() if r.created_at else None,
|
||||
}
|
||||
for r in records
|
||||
],
|
||||
"total": total,
|
||||
"page": page,
|
||||
"page_size": page_size,
|
||||
}
|
||||
|
||||
@@ -0,0 +1,82 @@
|
||||
import React from 'react';
|
||||
|
||||
interface ErrorBoundaryProps {
|
||||
children: React.ReactNode;
|
||||
fallback?: React.ReactNode;
|
||||
}
|
||||
|
||||
interface ErrorBoundaryState {
|
||||
hasError: boolean;
|
||||
error: Error | null;
|
||||
}
|
||||
|
||||
/**
|
||||
* App-wide ErrorBoundary that catches React rendering errors
|
||||
* and displays a fallback UI with a reload button.
|
||||
*/
|
||||
export class ErrorBoundary extends React.Component<ErrorBoundaryProps, ErrorBoundaryState> {
|
||||
constructor(props: ErrorBoundaryProps) {
|
||||
super(props);
|
||||
this.state = { hasError: false, error: null };
|
||||
}
|
||||
|
||||
static getDerivedStateFromError(error: Error): ErrorBoundaryState {
|
||||
return { hasError: true, error };
|
||||
}
|
||||
|
||||
componentDidCatch(error: Error, errorInfo: React.ErrorInfo): void {
|
||||
console.error('[ErrorBoundary] Uncaught error:', error, errorInfo);
|
||||
}
|
||||
|
||||
handleReload = (): void => {
|
||||
window.location.reload();
|
||||
};
|
||||
|
||||
render(): React.ReactNode {
|
||||
if (this.state.hasError) {
|
||||
if (this.props.fallback) {
|
||||
return this.props.fallback;
|
||||
}
|
||||
|
||||
return (
|
||||
<div
|
||||
className="flex items-center justify-center min-h-screen bg-secondary-50 p-8"
|
||||
role="alert"
|
||||
>
|
||||
<div className="max-w-md w-full bg-white rounded-lg shadow-lg p-8 text-center">
|
||||
<div className="text-red-500 text-6xl mb-4" aria-hidden="true">
|
||||
⚠️
|
||||
</div>
|
||||
<h1 className="text-2xl font-bold text-secondary-900 mb-2">
|
||||
Ein Fehler ist aufgetreten
|
||||
</h1>
|
||||
<p className="text-secondary-600 mb-6">
|
||||
Die Anwendung konnte nicht geladen werden. Bitte versuchen Sie es erneut.
|
||||
</p>
|
||||
{this.state.error && (
|
||||
<details className="mb-6 text-left">
|
||||
<summary className="cursor-pointer text-sm text-secondary-500 hover:text-secondary-700">
|
||||
Fehlerdetails
|
||||
</summary>
|
||||
<pre className="mt-2 p-3 bg-secondary-100 rounded text-xs text-secondary-700 overflow-auto max-h-32">
|
||||
{this.state.error.message}
|
||||
{this.state.error.stack && `\n\n${this.state.error.stack}`}
|
||||
</pre>
|
||||
</details>
|
||||
)}
|
||||
<button
|
||||
onClick={this.handleReload}
|
||||
className="inline-flex items-center px-6 py-3 bg-primary-600 text-white font-medium rounded-lg hover:bg-primary-700 focus:outline-none focus:ring-2 focus:ring-primary-500 focus:ring-offset-2 transition-colors"
|
||||
>
|
||||
Neu laden
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return this.props.children;
|
||||
}
|
||||
}
|
||||
|
||||
export default ErrorBoundary;
|
||||
@@ -10,6 +10,7 @@ import { useAIUIControl } from '@/hooks/useAIUIControl';
|
||||
import { PluginRegistry } from '@/components/plugins/PluginRegistry';
|
||||
import { AIUIControlIndicator } from '@/components/ai-ui-control/AIUIControlIndicator';
|
||||
import { WindowContainer } from '@/components/window/WindowContainer';
|
||||
import { ErrorBoundary } from '@/components/ErrorBoundary';
|
||||
|
||||
export function AppShell() {
|
||||
const location = useLocation();
|
||||
@@ -38,7 +39,9 @@ export function AppShell() {
|
||||
id="main-content"
|
||||
data-testid="content-area"
|
||||
>
|
||||
<Outlet />
|
||||
<ErrorBoundary>
|
||||
<Outlet />
|
||||
</ErrorBoundary>
|
||||
</main>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -7,6 +7,7 @@ import { PasswordResetRequestPage } from '@/pages/PasswordResetRequest';
|
||||
import { PasswordResetConfirmPage } from '@/pages/PasswordResetConfirm';
|
||||
import { Loader2 } from 'lucide-react';
|
||||
import { PluginRouteRenderer } from '@/components/plugins/PluginRouteRenderer';
|
||||
import { ErrorBoundary } from '@/components/ErrorBoundary';
|
||||
|
||||
// Lazy-loaded pages (code-splitting)
|
||||
const DashboardPage = React.lazy(() => import('@/pages/Dashboard').then(m => ({ default: m.DashboardPage })));
|
||||
@@ -73,23 +74,23 @@ const router = createBrowserRouter([
|
||||
},
|
||||
{
|
||||
path: '/ai-assistant-standalone',
|
||||
element: withSuspense(<AIAssistantStandalonePage />),
|
||||
element: <ErrorBoundary>{withSuspense(<AIAssistantStandalonePage />)}</ErrorBoundary>,
|
||||
},
|
||||
{
|
||||
path: '/dms-standalone',
|
||||
element: withSuspense(<DmsStandalonePage />),
|
||||
element: <ErrorBoundary>{withSuspense(<DmsStandalonePage />)}</ErrorBoundary>,
|
||||
},
|
||||
{
|
||||
path: '/calendar-standalone',
|
||||
element: withSuspense(<CalendarStandalonePage />),
|
||||
element: <ErrorBoundary>{withSuspense(<CalendarStandalonePage />)}</ErrorBoundary>,
|
||||
},
|
||||
{
|
||||
path: '/mail-standalone',
|
||||
element: withSuspense(<MailStandalonePage />),
|
||||
element: <ErrorBoundary>{withSuspense(<MailStandalonePage />)}</ErrorBoundary>,
|
||||
},
|
||||
{
|
||||
path: '/contacts-standalone',
|
||||
element: withSuspense(<ContactsStandalonePage />),
|
||||
element: <ErrorBoundary>{withSuspense(<ContactsStandalonePage />)}</ErrorBoundary>,
|
||||
},
|
||||
{
|
||||
path: '/password-reset',
|
||||
|
||||
@@ -85,9 +85,15 @@ export default defineConfig({
|
||||
if (id.includes('react-dom')) return 'react-vendor';
|
||||
if (id.includes('/react/') || id.includes('\\react\\')) return 'react-vendor';
|
||||
if (id.includes('@tanstack')) return 'tanstack';
|
||||
if (id.includes('lucide-react') || id.includes('date-fns') || id.includes('clsx')) return 'ui';
|
||||
if (id.includes('lucide-react')) return 'icons';
|
||||
if (id.includes('react-markdown') || id.includes('remark-gfm')) return 'markdown';
|
||||
if (id.includes('date-fns') || id.includes('clsx') || id.includes('class-variance-authority') || id.includes('tailwind-merge') || id.includes('zustand') || id.includes('immer')) return 'utils';
|
||||
if (id.includes('i18next') || id.includes('react-i18next')) return 'i18n';
|
||||
}
|
||||
// Split @/components/ui into its own chunk
|
||||
if (id.includes('/src/components/ui/')) {
|
||||
return 'ui-components';
|
||||
}
|
||||
},
|
||||
},
|
||||
},
|
||||
|
||||
Reference in New Issue
Block a user