75313b83c0
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.
146 lines
4.3 KiB
Python
146 lines
4.3 KiB
Python
from datetime import datetime
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from pydantic import BaseModel, Field
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# ---------------------------------------------------------------------------
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# Transition conditions
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# ---------------------------------------------------------------------------
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class TransitionConditionSchema(BaseModel):
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"""Defines when a workflow step should transition to the next step."""
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type: str = Field(
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...,
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description=(
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"Condition type: strategy_complete, loops_completed, inventory_full, "
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"inventory_item_count, bank_item_count, skill_level, gold_amount, "
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"actions_count, timer"
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),
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)
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operator: str = Field(
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default=">=",
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description="Comparison operator: >=, <=, ==, >, <",
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)
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value: int = Field(
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default=0,
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description="Target value for the condition",
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)
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item_code: str = Field(
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default="",
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description="Item code (for inventory_item_count, bank_item_count)",
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)
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skill: str = Field(
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default="",
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description="Skill name (for skill_level condition)",
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)
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seconds: int = Field(
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default=0,
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ge=0,
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description="Duration in seconds (for timer condition)",
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)
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# ---------------------------------------------------------------------------
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# Workflow steps
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# ---------------------------------------------------------------------------
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class WorkflowStepSchema(BaseModel):
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"""A single step within a workflow pipeline."""
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id: str = Field(..., description="Unique step identifier (e.g. 'step_1')")
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name: str = Field(..., min_length=1, max_length=100, description="Human-readable step name")
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strategy_type: str = Field(
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...,
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description="Strategy type: combat, gathering, crafting, trading, task, leveling",
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)
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config: dict = Field(default_factory=dict, description="Strategy-specific configuration")
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transition: TransitionConditionSchema | None = Field(
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default=None,
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description="Condition to advance to the next step (None = run until strategy completes)",
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)
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# ---------------------------------------------------------------------------
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# Request schemas
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# ---------------------------------------------------------------------------
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class WorkflowConfigCreate(BaseModel):
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name: str = Field(..., min_length=1, max_length=100)
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character_name: str = Field(..., min_length=1, max_length=100)
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description: str = Field(default="")
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steps: list[WorkflowStepSchema] = Field(..., min_length=1)
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loop: bool = Field(default=False)
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max_loops: int = Field(default=0, ge=0)
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class WorkflowConfigUpdate(BaseModel):
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name: str | None = Field(default=None, min_length=1, max_length=100)
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description: str | None = None
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steps: list[WorkflowStepSchema] | None = Field(default=None, min_length=1)
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loop: bool | None = None
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max_loops: int | None = Field(default=None, ge=0)
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enabled: bool | None = None
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# ---------------------------------------------------------------------------
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# Response schemas
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# ---------------------------------------------------------------------------
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class WorkflowConfigResponse(BaseModel):
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id: int
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name: str
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character_name: str
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description: str
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steps: list[dict]
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loop: bool
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max_loops: int
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enabled: bool
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created_at: datetime
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updated_at: datetime
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model_config = {"from_attributes": True}
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class WorkflowRunResponse(BaseModel):
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id: int
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workflow_id: int
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status: str
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current_step_index: int
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current_step_id: str
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loop_count: int
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total_actions_count: int
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step_actions_count: int
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started_at: datetime
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stopped_at: datetime | None = None
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error_message: str | None = None
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step_history: list[dict] = Field(default_factory=list)
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model_config = {"from_attributes": True}
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class WorkflowStatusResponse(BaseModel):
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workflow_id: int
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character_name: str
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status: str
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run_id: int | None = None
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current_step_index: int = 0
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current_step_id: str = ""
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total_steps: int = 0
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loop_count: int = 0
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total_actions_count: int = 0
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step_actions_count: int = 0
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strategy_state: str = ""
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model_config = {"from_attributes": True}
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class WorkflowConfigDetailResponse(BaseModel):
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"""Workflow config with its run history."""
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config: WorkflowConfigResponse
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runs: list[WorkflowRunResponse] = Field(default_factory=list)
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