artifacts-dashboard/backend/app/schemas/errors.py
Paweł Orzech 75313b83c0
Add multi-user workflows/pipelines and error tracking
Add multi-user automation features and per-user error tracking.

- Database migrations: add workflow_configs/workflow_runs (004), app_errors (005), pipeline_configs/pipeline_runs (006), and add user_token_hash to app_errors (007).
- Backend: introduce per-request token handling (X-API-Token) via app.api.deps and update many API routes (auth, automations, bank, characters, dashboard, events, exchange, logs) to use user-scoped Artifacts client and character scoping. Auth endpoints no longer store tokens server-side (validate-only); clear is a no-op on server.
- New Errors API and services: endpoint to list, filter, resolve, and report errors scoped to the requesting user; add error models, schemas, middleware/error handler and error_service for recording/hashing tokens.
- Pipelines & Workflows: add API routers, models, schemas and engine modules (pipeline/worker/coordinator, workflow runner/conditions) and action_executor updates to support workflow/pipeline execution.
- Logs: logs endpoint now prefers fetching recent action logs from the game API (with fallback to local DB), supports paging and filtering, and scopes results to the user.
- Frontend: add pipeline/workflow builders, lists, progress components and hooks (use-errors, use-pipelines, use-workflows), sentry client config, and updates to API client/constants/types.
- Misc: add middleware error handler, various engine strategy tweaks, tests adjusted.

Overall this change enables per-user API tokens, scopes DB queries to each user, introduces pipelines/workflows runtime support, and centralizes application error tracking.
2026-03-01 23:02:34 +01:00

44 lines
1,003 B
Python

"""Pydantic schemas for the errors API."""
from datetime import datetime
from typing import Any
from pydantic import BaseModel, Field
class AppErrorResponse(BaseModel):
id: int
severity: str
source: str
error_type: str
message: str
stack_trace: str | None = None
context: dict[str, Any] | None = None
correlation_id: str | None = None
resolved: bool
created_at: datetime
model_config = {"from_attributes": True}
class AppErrorListResponse(BaseModel):
errors: list[AppErrorResponse]
total: int
page: int
pages: int
class AppErrorStats(BaseModel):
total: int = 0
unresolved: int = 0
last_hour: int = 0
by_severity: dict[str, int] = Field(default_factory=dict)
by_source: dict[str, int] = Field(default_factory=dict)
class FrontendErrorReport(BaseModel):
error_type: str = "FrontendError"
message: str
stack_trace: str | None = None
context: dict[str, Any] | None = None
severity: str = "error"