Files
openswarm/backend/apps/workflows/models.py
T

157 lines
6.4 KiB
Python

from pydantic import BaseModel, ConfigDict, Field, field_validator
from typing import Optional, Literal, Any
from datetime import datetime
from uuid import uuid4
# Each "tier" in the permission chain: notify in app, fall through to text
# after N minutes if no response, then to call after a further N minutes/hours.
# Matches images 17 to 19 (Schedule edit). Order in the list = escalation order.
class PermissionTier(BaseModel):
kind: Literal["notify", "text", "call"] = "notify"
after_minutes: int = 0
phone: Optional[str] = None
class ScheduleConfig(BaseModel):
enabled: bool = False
# Bounds keep the scheduler from blowing up on malformed input. The
# FE clamps these too, but defense-in-depth: a misbehaving agent
# tool, an old JSON file, or a curl-wielding power user shouldn't
# be able to crash _next_fire_after by passing hour=99.
repeat_every: int = Field(default=1, ge=1, le=365)
repeat_unit: Literal["day", "week", "month"] = "week"
on_days: list[int] = Field(default_factory=list)
hour: int = Field(default=9, ge=0, le=23)
minute: int = Field(default=0, ge=0, le=59)
# IANA zone name (e.g. "America/Los_Angeles") or "local" for legacy
# records that predate explicit tz. storage._load_all_from_disk coerces
# "local" to the host zone in memory; we leave it on disk until the
# user's next save so backup/sync tools don't see spurious churn.
timezone: str = "local"
on_missed: Literal["skip", "run_once", "run_all"] = "skip"
# Optional end conditions. None = forever / unbounded. Schedule auto-
# disables once either is satisfied; scheduler._tick zeroes out
# next_run_at and flips enabled=False so the UI reflects reality.
ends_at: Optional[datetime] = None
max_runs: Optional[int] = Field(default=None, ge=1)
runs_count: int = Field(default=0, ge=0)
@field_validator("on_days")
@classmethod
def _clean_on_days(cls, v: list[int]) -> list[int]:
# Backend uses JS-style weekday (Sun=0..Sat=6). Drop entries
# outside that range so a malformed PATCH can't trip the
# scheduler later, and dedupe while preserving order.
seen: set[int] = set()
out: list[int] = []
for d in v or []:
if isinstance(d, int) and 0 <= d <= 6 and d not in seen:
seen.add(d)
out.append(d)
return out
class ActionsConfig(BaseModel):
prevent_unused: bool = False
freeze: bool = False
configured_sets: list[str] = Field(default_factory=list)
class WorkflowStep(BaseModel):
id: str = Field(default_factory=lambda: uuid4().hex)
text: str = ""
# 3 to 6 word LLM-generated headline shown in the collapsed step row.
# The full prompt lives in `text`; this is the "at-a-glance" label.
label: Optional[str] = None
def _empty_str_default() -> str:
return ""
class Workflow(BaseModel):
# validate_assignment is load-bearing for the PATCH /workflows/{id} path
# (workflows.py:update_workflow setattr's raw dicts from body.model_dump
# straight onto the cached Workflow). Without coercion the nested
# schedule/steps/actions/permissions fields become plain dicts in
# memory, and every downstream call; scheduler tick, executor.execute,
# subsequent PATCHes; crashes on `.enabled` / `.text`.
model_config = ConfigDict(validate_assignment=True)
id: str = Field(default_factory=lambda: uuid4().hex)
title: str = "Untitled workflow"
description: str = ""
icon: str = ""
system_prompt: Optional[str] = None
use_synced_prompt: bool = True
steps: list[WorkflowStep] = Field(default_factory=list)
actions: ActionsConfig = Field(default_factory=ActionsConfig)
schedule: ScheduleConfig = Field(default_factory=ScheduleConfig)
permissions: list[PermissionTier] = Field(
default_factory=lambda: [PermissionTier(kind="notify")]
)
source_session_id: Optional[str] = None
dashboard_id: Optional[str] = None
model: str = "sonnet"
mode: str = "agent"
provider: str = "anthropic"
created_at: datetime = Field(default_factory=datetime.now)
updated_at: datetime = Field(default_factory=datetime.now)
last_run_at: Optional[datetime] = None
last_run_status: Optional[Literal["success", "failure", "ran_late", "running", "skipped"]] = None
last_run_id: Optional[str] = None
next_run_at: Optional[datetime] = None
cost_cap_usd_monthly: Optional[float] = None
class WorkflowRun(BaseModel):
id: str = Field(default_factory=lambda: uuid4().hex)
workflow_id: str
status: Literal["running", "success", "failure", "ran_late", "skipped"] = "running"
scheduled_for: Optional[datetime] = None
started_at: datetime = Field(default_factory=datetime.now)
finished_at: Optional[datetime] = None
session_id: Optional[str] = None
error: Optional[str] = None
cost_usd: float = 0.0
triggered_by: Literal["schedule", "manual", "retry"] = "schedule"
# Last tool-call label observed on the underlying agent session while
# the workflow is running. Surfaced under the active step in RunningView
# (Image #40) so the user can tell the run is still making progress.
last_tool_label: Optional[str] = None
class WorkflowCreate(BaseModel):
title: str = "Untitled workflow"
description: str = ""
icon: str = ""
system_prompt: Optional[str] = None
use_synced_prompt: bool = True
steps: list[WorkflowStep] = Field(default_factory=list)
actions: ActionsConfig = Field(default_factory=ActionsConfig)
schedule: ScheduleConfig = Field(default_factory=ScheduleConfig)
permissions: Optional[list[PermissionTier]] = None
source_session_id: Optional[str] = None
dashboard_id: Optional[str] = None
model: Optional[str] = None
mode: Optional[str] = None
provider: Optional[str] = None
cost_cap_usd_monthly: Optional[float] = None
class WorkflowUpdate(BaseModel):
title: Optional[str] = None
description: Optional[str] = None
icon: Optional[str] = None
system_prompt: Optional[str] = None
use_synced_prompt: Optional[bool] = None
steps: Optional[list[WorkflowStep]] = None
actions: Optional[ActionsConfig] = None
schedule: Optional[ScheduleConfig] = None
permissions: Optional[list[PermissionTier]] = None
model: Optional[str] = None
mode: Optional[str] = None
provider: Optional[str] = None
cost_cap_usd_monthly: Optional[float] = None