Files
roboco/roboco/models/task.py
T
889f3689e7 MegaTask (#248)
* feat(batch): batch_id + collision descriptor columns

Sequenced batch intake ("Mega task") foundation: tasks.batch_id (indexed)
groups a batch of top-level tasks created together; intends_to_touch (text[]),
adds_migration and touches_shared (bool, NOT NULL default false) are the
per-task collision surface the SequencingService will read to wire dependency
waves. Mirrored on the Task model + TaskCreateRequest and wired through
TaskService.create. Migration 046 (real upgrade->downgrade->upgrade verified
vs a throwaway pgvector PG); a non-batch task declares no surface (defaults).

Task 1 of the 0.11.0 sequenced-batch-intake plan.

* feat(batch): flag + draft collision descriptors

Default-off ROBOCO_BATCH_INTAKE_ENABLED (config + FEATURE_FLAGS + panel card);
the propose_draft tool doc + the TS DraftProposal gain the per-task collision
surface intends_to_touch / adds_migration / touches_shared. The draft is a loose
dict so the descriptors ride it through the relay intact (test asserts the
forwarded payload); the analyzer (Task 3) reads them to wire dependency waves.

Task 2 of the 0.11.0 sequenced-batch-intake plan.

* feat(batch): deterministic collision-sequencing analyzer

SequencingService.analyze turns a batch's per-task collision surfaces into a
dependency DAG + execution waves — correctness in CODE, not agent judgment.
Rules in order: file overlap serializes (more-important first), migrations form
a serial chain (no concurrent Alembic heads), touches_shared runs last, cell
contention warns (never serializes); then dedupe, existence + cycle check, and
Kahn topological layering. Pure (no DB/services); SequencingError on a cycle or
out-of-range edge.

Golden test reproduces the CEO's hand-sequenced 4 waves of the 11-item
guard-core-app batch (the effort that deadlocked the Main PM): S6 alone last,
the R1/R3/R4 migration chain, R2/R3/S8 serialized on the shared threat service,
S1/S2/S7 in one parallel wave.

Task 3 of the 0.11.0 sequenced-batch-intake plan.

* chore(batch): brand the user-facing surfaces "MegaTask"

The user-facing name is MegaTask: the feature-flag label is "MegaTask intake",
the panel flag-card and the config description lead with MegaTask. Internal
names stay technical (batch_intake_enabled, batch_id, SequencingService).

* chore(batch): drop the feature flag — MegaTask is a core intake scope

MegaTask is additive and opt-in by its own nature (the Prompter proposes a
batch only when the CEO asks for several tasks; single-task intake is
unchanged), so there is no risk surface a flag protects — 'don't create a
MegaTask' is the off switch. Remove batch_intake_enabled from config, the
FEATURE_FLAGS registry, the panel flag card, and its tests. MegaTask will be
a third scope option in the Intake modal (single-cell / multi-project /
MegaTask), not a toggle.

* feat(batch): MegaTask identity predicate + orchestrator branchless recognition

The single source of truth for the umbrella's exemptions: pure
is_batch_umbrella / is_batch_root_subtask / is_branchless_coordination
(foundation/policy/batch.py) — an umbrella has a batch_id and is top-level; a
root-subtask shares the batch_id but is parented. The orchestrator's
_is_coordination_task now consults is_branchless_coordination, so a MegaTask
umbrella is recognized as doing no git of its own (git-exempt at spawn-readiness
/ stuck-detection) exactly like a product fan-out root. Non-batch behavior is
identical (the predicate reduces to the old no-project+product check; the
orchestrator coordination suite stays green), and the umbrella branch is inert
until the create path exists.

First slice of the MegaTask umbrella enforcement (branchless guard).

* feat(batch): branchless umbrella guard across the git-exemption sites

A MegaTask umbrella does no git of its own — every git-exemption site in
TaskService now consults the shared is_branchless_coordination predicate
instead of an inline product-only check, so the umbrella's exemptions
cannot drift between sites:

- the claimed->in_progress branch gate (GitContext.is_coordination) lets
  an unbranched umbrella reach in_progress and delegate;
- _ensure_branch_for_task short-circuits an umbrella to "" instead of the
  misconfigured raise (the claim path ignores the return, treating it as
  branchless);
- CEO-reject routing sends a rejected umbrella to the Main PM in PENDING
  (needs_revision is developer-claim-only and would deadlock it).

Covers both shapes via the predicate (product fan-out root OR umbrella);
a batch root-subtask keeps its own branch/PR. Adds orchestrator
recognition tests for the umbrella plus claim/branch/reject integration
tests.

* feat(batch): umbrella assembles no PR; completes branchless

submit_root now hard-rejects a MegaTask umbrella up front (a preflight
that also folds in the unknown-role refusal to stay within the
return-count budget): the umbrella spans many projects with no single
master, so each root-subtask opens and is reviewed on its own PR — the
umbrella never enters the in-path review gate. The Main PM completes it
directly once every root-subtask is terminal.

Umbrella completion needs no new code: it is branchless (no branch_name),
so _main_pm_complete_guard already accepts it from in_progress, checks
all_subtasks_terminal, and main_pm_complete walks it to awaiting_pm_review
and escalates to the CEO with no PR creation — exactly the product
fan-out root path. Adds the submit_root-reject and umbrella-completion
gateway tests; pins batch_id=None on the normal-root submit_root test
(a MagicMock auto-attr would otherwise read as an umbrella).

* feat(batch): MegaTask create path — umbrella + sequenced root-subtasks

PrompterService.confirm_live_batch turns N confirmed drafts into a real
MegaTask: it builds each draft's collision surface, runs the pure
SequencingService to get conflict-free waves, creates the branchless
umbrella (batch_id, no project/product), then one root-subtask per draft
(own project, parent=umbrella, sequence=wave index, descriptors), and
wires the analyzer's edges through add_dependency so the existing
dependency-gate runs the waves in order. The route picks the start path
like a single confirm: 'board' holds the root-subtasks in BACKLOG for the
batch review; 'main_pm' creates them PENDING so wave 0 dispatches at once.

create_task_from_draft gains a BatchPlacement (parent/batch/sequence/
team_override) and forwards the collision descriptors; the exactly-one-
target rule (here and the TaskService.create invariant) is relaxed for an
umbrella, which legitimately targets neither. New route
POST /live/{session}/confirm-batch + BatchConfirmRequest mirror the single
confirm. Adds the structural-invariant + board-hold + empty-batch tests.

* feat(batch): release MegaTask root-subtasks on CEO approval; board awareness

The board route holds a MegaTask's root-subtasks in BACKLOG so the work
waits for the batch review. approve_and_start (CEO gate #1, board->Main PM)
now releases them via _activate_batch_root_subtasks: each held child flips
BACKLOG -> PENDING + team=main_pm so the dependency-gate dispatches wave 0.
No-op for a non-umbrella; idempotent (children past BACKLOG untouched).

The Product Owner and Head of Marketing identity prompts gain a MegaTask
section so they review the whole batch + wave plan and adjust scope before
sign-off (they review drafts; the umbrella is their unit). Also extracts
the create() target invariant into _require_target_or_umbrella to keep the
method under the complexity gate after the umbrella exemption. Adds the
umbrella-approval activation test.

* feat(batch): multi-project intake scope for MegaTask

A MegaTask spans several possibly-unrelated repos, so the intake chat can
now be scoped to an explicit project list (not just one project or one
product). StartLiveRequest gains project_ids; /live/start threads it
through start/spawn_intake_session -> _spawn_intake_container ->
_clone_intake_scope. The multi-repo clone machinery already existed for
products; _intake_scope_slugs now also resolves an explicit project_ids
set (split into _slugs_for_project_ids / _slugs_for_product), cloning each
repo with the first as the primary cwd and the siblings readable. Scope
validation is now 'exactly one of project_slug / product_id / project_ids'
via the shared _require_one_intake_scope. Adds scope-resolution, spawn,
and route tests for the MegaTask path.

* feat(batch): propose_batch intake tool (MegaTask multi-draft hand-off)

The intake agent can now hand the panel a whole MegaTask in one tool call.
Both intake paths gain propose_batch alongside propose_draft:
- Claude (intake_driver): a propose_batch tool registered on the in-SDK
  MCP server + allowlisted; the driver intercepts the ToolUseBlock and
  emits ONE StreamChunk(kind="batch") carrying {drafts:[...], title}.
- grok (intake_server): a propose_batch tool that POSTs a "batch" relay
  event via the shared _post_event helper (post_draft/post_batch).

A batch carries N drafts, each the propose_draft shape PLUS its own
project_id (a MegaTask spans unrelated repos) and collision surface so the
analyzer sequences the waves. The prompter prompt documents the MegaTask
scope + when to call propose_batch. Adds Claude-normalize and grok-relay
tests for the batch path.

* feat(batch): MegaTask intake panel — third scope, batch review, waves

The panel now drives a MegaTask end to end. The intake modal gains a
third scope, 'MegaTask', beside Single cell and Board-led: a multi-project
checklist (a MegaTask spans several possibly-unrelated repos), validated
to at least two. start() sends project_ids; use-prompter accumulates the
agent's single propose_batch hand-off as a 'batch' SSE event into a
BatchProposal and lands in a new batch_preview state.

A new BatchReviewCard lists every proposed task with its target project +
collision-surface badges (migration / shared) and offers one start path
for the whole batch — Board review & Start or Approve & Start — wired to
confirmBatch → POST /confirm-batch. The success card shows the sequenced
result: N tasks in M waves (+ any advisory notes). prompter.ts gains the
DraftScale 'megatask' + the BatchConfirm payload/result types; the SSE
client allows the 'batch' kind. Panel typecheck + lint + 113 tests green.

* docs(batch): MegaTask across changelog, CLAUDE.md, site, and RAG

The four documentation obligations for the MegaTask feature:
- CHANGELOG: an Unreleased entry covering the umbrella model, sequencing,
  multi-project intake, propose_batch, and the create/approval path.
- CLAUDE.md: a MegaTask section (identity predicate, umbrella/root-subtask
  hierarchy, sequencing rules, intake + create path, board activation).
- Published site: a user-facing company/megatask.md (scopes, waves, the
  umbrella, the two start buttons) + nav entry; a pointer added to the
  intake chapter of the Tour.
- RAG corpus: workflows/megatask.md so the Main PM (and any agent) can
  retrieve the umbrella's branchless / no-PR / completion rules at runtime.

The runtime concurrent-migration guard is intentionally NOT added: the
analyzer already chains migration-adders into dependencies and the
dependency-gate serializes them, so a separate guard would be dead code.

* feat(batch): batch_id guardrail + wave preview + batch_id on TaskResponse

Guardrail (CEO): a batch_id is denied on any task that is not a well-formed
MegaTask member. is_valid_batch_shape permits batch_id only on an umbrella
(no parent → must target neither project nor product) or a root-subtask
(has a parent → exactly one target); TaskService.create enforces it AND
verifies a root-subtask's parent is the batch umbrella (same batch_id,
top-level). This closes a latent hole: is_batch_umbrella is true for a
batch_id + no-parent task even with a project, so a stray batch_id could
have spoofed the branchless branch-gate / no-PR exemption. (The public
task API never exposed batch_id for write; this guards the service layer.)

Wave preview: PrompterService.preview_batch + POST .../preview-batch
compute a MegaTask's waves from the proposed drafts WITHOUT creating
anything, so the panel can show the sequencing before confirm. Extracted
_sequence_drafts as the single source shared by preview and confirm, so
the previewed waves are exactly the ones wired.

TaskResponse now carries batch_id so the panel can badge the umbrella.

* feat(batch): MegaTask review — project editor, wave preview, persistence, badge

Closes the panel gaps in the MegaTask review experience:
- Per-task project editor: each proposed task gets an inline project
  Select (updateBatchDraftProject), so a task the agent put in the wrong
  or no repo can be fixed before launch — not only by re-chatting. Launch
  stays blocked until every task has a project.
- Wave preview: on a batch proposal the panel fetches POST .../preview-batch
  (no task created) and shows the conflict-free wave plan, so the human
  reviews the sequencing before confirming.
- Refresh durability: the MegaTask review (batch + waves + projectIds) is
  persisted, so a browser reload mid-review restores it like a single draft.
- MegaTask badge: TaskResponse exposes batch_id, the panel Task type
  carries it, and the task table badges the umbrella row 'MegaTask'.

Panel typecheck + lint + 113 tests green.

* test(batch): stub task carries batch_id for task_to_response

task_to_response now serializes batch_id (TaskResponse field), so the
_stub_task SimpleNamespace fixture must provide it — without it the reader
hit AttributeError, failing the 8 task-schema serialization/enrichment
tests. Test-only; the real TaskTable carries the column (migration 046).

* fix(batch): close MegaTask audit gaps — completion crash, analyzer cycle, guardrails

An adversarial multi-agent audit of the feature surfaced 20 verified gaps;
this closes the backend ones.

HIGH:
- Umbrella completion crashed. escalate_to_ceo hard-required a pr_number,
  which a branchless umbrella never has, so main_pm_complete dereferenced
  None. Both pr_number gates now waive a MegaTask umbrella (escalate_to_ceo
  + the awaiting_pm_review->awaiting_ceo_approval lifecycle gate via a new
  GitContext.is_umbrella), and main_pm_complete guards a None return. The
  completion test had mocked escalate_to_ceo, hiding it — now a real
  service test covers the waiver.
- The collision analyzer could fabricate a cycle (a touches_shared +
  adds_migration draft overlapping another migration draft) and raise
  SequencingError — a bare ValueError that escaped as an opaque 500. The
  migration chain is now shared-last-aware (never contradicts rule 3), and
  _sequence_drafts translates SequencingError to a clean 400.

MEDIUM:
- Collisions are now project-scoped: two repos can't collide on a
  coincidental path or serialize independent migrations (DraftSurface
  carries project_id; rules 1/2/3 respect it).
- The batch_id guardrail ran only at create. update() + the PATCH
  null-clear path now re-assert is_valid_batch_shape, so a mutation can't
  break a member's shape and spoof the branchless exemption.
- A draft missing title/acceptance_criteria now raises ValidationError
  (was a bare KeyError -> 500).
- confirm_live_batch re-asserts every draft targets a scoped project and
  the batch spans >=2 distinct projects (project_ids added to the request).
- Route-level tests for confirm-batch / preview-batch.

LOW: strict multi-repo clone (fail loud on any unresolvable project);
malformed/empty propose_batch surfaces an error chunk (Claude) / refuses
to POST (grok) instead of silently acking; dropped malformed drafts are
counted and surfaced; stale grok intake docstrings updated.

* fix(batch): MegaTask panel + doc audit gaps

Frontend half of the audit fixes:
- The confirm payload now carries project_ids (the schema requires it), and
  the panel re-checks every task targets one of the scoped repos before
  launching, naming the offending task.
- The Review-MegaTask project picker is filtered to the scoped repos and
  the per-task validity (border + launch gate) keys off scoped membership,
  so a task can only be (re)pointed at an in-scope project — also fixing the
  case where the agent emitted a non-UUID / unknown project.
- Dropped malformed drafts are surfaced as a chat error so the human knows
  the batch shrank instead of silently confirming fewer tasks.
- Doc wording: a wave releases on the previous wave's terminal state
  (normally a merge; a cancellation releases it too), not strictly 'merged'.

* test(batch): lock the CEO's EXACT 4-wave hand-sequencing as the golden bar

The golden test asserted the constraints (S6 last, the migration chain, the
shared-threats serialization, S1/S2/S7 parallel) but not the full wave
partition. The bar for MegaTask is 'reproduce my exact waves or it's not
done', so assert the exact 4-wave partition the analyzer produces for the
guard-core-app batch:
  wave 1: R1 R2 S1 S2 S3 S5 S7  ·  wave 2: R3  ·  wave 3: R4 S8  ·  wave 4: S6
Confirmed unchanged by the audit's analyzer fixes (no migration is shared;
single project).

* fix(batch): tolerate a stub task in assert_batch_shape_intact

The batch-shape re-validation read task.batch_id directly, but update()'s
partial-caller contract is exercised with a SimpleNamespace stub that has no
batch_id column → AttributeError. Use getattr(..., None) for batch_id and the
shape fields so the guard no-ops on any task lacking the column (a stub, or a
non-batch task) while still enforcing on a real batch member.

* fix(orchestrator): authenticate internal API self-calls with the system identity

The dispatcher httpx clients were built without an agent identity, so the
orchestrator's self-PATCHes to /api/tasks/{id} (auto-block, auto-resume,
auto-recover, SLA annotation) were rejected 401 "Missing X-Agent-ID" and
silently no-op'd. The auto-resume that lifts a PM's paused parent could never
write, so paused/blocked parents stayed wedged and stranded their dependents
(the fe-pm/be-pm respawn churn seen in prod).

Header propagation was inconsistent across the separate AsyncClient call-sites:
only the main dispatch client carried the system identity; the readiness and
sweep clients did not. Hoist the identity into a shared _SYSTEM_API_HEADERS
constant and apply it to every API-facing dispatcher client. The system role
holds TaskAction.ASSIGN, so it is authorized for the audited admin_set_status
path those write routes use. The external provider-recovery probe client is
intentionally left untouched.

---------

Co-authored-by: Renn F <rennf93@users.noreply.github.com>
2026-06-24 01:15:57 +02:00

479 lines
17 KiB
Python

"""
Task Model
The atomic unit of work in the RoboCo system. Every piece of work
follows the universal task lifecycle: SCAN → CLAIM → UNDERSTAND →
PLAN → EXECUTE → VERIFY → NOTES → CLOSE.
"""
from dataclasses import dataclass, field
from datetime import UTC, datetime
from uuid import UUID, uuid4
from pydantic import Field, model_validator
from roboco.models.base import (
Complexity,
RobocoBase,
TaskNature,
TaskStatus,
TaskType,
Team,
TimestampMixin,
)
# =============================================================================
# SUPPORTING MODELS
# =============================================================================
class CommitRef(RobocoBase):
"""Reference to a git commit."""
hash: str = Field(..., min_length=7, max_length=40, description="Git commit hash")
message: str = Field(..., description="Commit message summary")
timestamp: datetime = Field(default_factory=lambda: datetime.now(UTC))
author_agent_id: UUID | None = Field(
default=None, description="Agent who made the commit"
)
class DocRef(RobocoBase):
"""Reference to a document."""
path: str = Field(..., description="Path to document")
title: str = Field(..., description="Document title")
doc_type: str = Field(
..., description="Type of document (api, readme, architecture, etc.)"
)
version: str | None = Field(default=None, description="Document version")
created_by: str | None = Field(default=None, description="Agent slug who created")
created_at: str | None = Field(
default=None, description="ISO timestamp of creation"
)
updated_by: str | None = Field(
default=None, description="Agent slug who last updated"
)
updated_at: str | None = Field(
default=None, description="ISO timestamp of last update"
)
class ProgressUpdate(RobocoBase):
"""A progress update on a task."""
timestamp: datetime = Field(default_factory=lambda: datetime.now(UTC))
agent_id: UUID = Field(..., description="Agent providing update")
message: str = Field(..., description="Progress message")
percentage: int | None = Field(
default=None, ge=0, le=100, description="Completion percentage"
)
class Checkpoint(RobocoBase):
"""A saved state checkpoint for task recovery."""
id: UUID = Field(default_factory=uuid4)
timestamp: datetime = Field(default_factory=lambda: datetime.now(UTC))
agent_id: UUID = Field(..., description="Agent who created checkpoint")
state_summary: str = Field(..., description="Summary of current state")
remaining_work: list[str] = Field(
default_factory=list, description="Remaining sub-tasks"
)
notes: str | None = Field(default=None, description="Additional notes")
class SubTask(RobocoBase):
"""A sub-task within a task plan."""
id: UUID = Field(default_factory=uuid4)
title: str = Field(..., description="Sub-task title")
description: str | None = Field(default=None, description="Sub-task description")
completed: bool = Field(default=False)
order: int = Field(..., ge=0, description="Order in the plan")
estimated_hours: float | None = Field(
default=None, description="Estimated hours to complete"
)
notes: str | None = None
class TaskPlan(RobocoBase):
"""Implementation plan for a task."""
approach: str = Field(..., description="High-level approach description")
sub_tasks: list[SubTask] = Field(
default_factory=list, description="Ordered list of sub-tasks"
)
technical_considerations: list[str] = Field(
default_factory=list, description="Technical notes and considerations"
)
risks: list[dict[str, str]] = Field(
default_factory=list, description="Identified risks and mitigations"
)
open_questions: list[dict[str, str | bool]] = Field(
default_factory=list, description="Questions with optional answers"
)
# =============================================================================
# MAIN TASK MODEL
# =============================================================================
class Task(TimestampMixin):
"""
The atomic unit of work in RoboCo.
Tasks follow the universal lifecycle and persist across sessions.
Every task must have acceptance criteria.
"""
# Identity
id: UUID = Field(default_factory=uuid4, description="Unique task identifier")
title: str = Field(..., min_length=1, max_length=200, description="Task title")
description: str = Field(..., description="Detailed task description")
acceptance_criteria: list[str] = Field(
..., min_length=1, description="How do we know it's done?"
)
acceptance_criteria_ids: list[str] = Field(
default_factory=list,
description="Stable id per acceptance_criteria element (1:1, same order).",
)
parent_ac_refs: list[str] = Field(
default_factory=list,
description="On a decomposition child: parent AC ids this child covers.",
)
# Status
status: TaskStatus = Field(default=TaskStatus.PENDING)
priority: int = Field(
default=2, ge=0, le=3, description="0=P0(highest), 3=P3(lowest)"
)
# Task Type & Git Configuration (all tasks follow git workflow)
task_type: TaskType = Field(
default=TaskType.CODE, description="Type of task (code, research, etc.)"
)
nature: TaskNature = Field(
default=TaskNature.TECHNICAL, description="Technical or non-technical work"
)
# Project & Branch (branch auto-created on claim)
project_id: UUID | None = Field(
default=None,
description="Target repo; None for a fan-out task that carries product_id",
)
product_id: UUID | None = Field(
default=None,
description="Product this task belongs to (additive; drives subtask routing)",
)
branch_name: str | None = Field(
default=None, description="Branch created for this task"
)
work_session_id: UUID | None = Field(
default=None, description="Active work session"
)
# PR Tracking (set during AWAITING_DOCUMENTATION parallel phase)
pr_number: int | None = Field(default=None, description="GitHub/GitLab PR number")
pr_url: str | None = Field(default=None, description="Full URL to PR")
# Parallel Execution Tracking (for AWAITING_DOCUMENTATION phase)
docs_complete: bool = Field(default=False, description="Documenter has finished")
pr_created: bool = Field(default=False, description="Developer has created PR")
# Ownership
created_by: UUID = Field(..., description="Agent who created the task")
assigned_to: UUID | None = Field(
default=None, description="Currently assigned agent"
)
team: Team = Field(..., description="Which cell owns this task")
# Relationships
parent_task_id: UUID | None = Field(
default=None, description="Parent task for sub-tasks"
)
dependency_ids: list[UUID] = Field(
default_factory=list, description="Task IDs this is blocked by"
)
blocker_ids: list[UUID] = Field(
default_factory=list, description="Task IDs this is blocking"
)
completed_dependency_ids: list[UUID] = Field(
default_factory=list,
description="Dependency task IDs that have since completed and cleared",
)
# Sequenced batch intake ("Mega task"): the collision surface the analyzer
# reads to wire dependency waves across a batch of tasks created together.
batch_id: UUID | None = Field(
default=None, description="Groups tasks created as one sequenced batch"
)
intends_to_touch: list[str] | None = Field(
default=None, description="Files/dirs this task expects to modify"
)
adds_migration: bool = Field(
default=False, description="Whether this task adds a DB migration"
)
touches_shared: bool = Field(
default=False, description="Whether this task edits a widely-shared surface"
)
# Timestamps
claimed_at: datetime | None = None
started_at: datetime | None = None
completed_at: datetime | None = None
target_date: datetime | None = Field(
default=None, description="Target completion date"
)
# Planning
plan: TaskPlan | None = None
estimated_complexity: Complexity = Field(default=Complexity.MEDIUM)
# Execution
checkpoints: list[Checkpoint] = Field(default_factory=list)
progress_updates: list[ProgressUpdate] = Field(default_factory=list)
# Artifacts
commits: list[CommitRef] = Field(default_factory=list)
documents: list[DocRef] = Field(default_factory=list)
# Documentation
dev_notes: str | None = Field(
default=None, description="Journey notes from developer"
)
qa_notes: str | None = Field(default=None, description="QA feedback")
auditor_notes: str | None = Field(default=None, description="Auditor observations")
# Review Status
self_verified: bool = Field(default=False)
qa_verified: bool | None = None
# Quick Context
quick_context: str | None = Field(
default=None,
description="2-3 sentences for quick context restoration",
)
# Proactive Knowledge Context (injected when task is claimed)
proactive_context: dict | None = Field(
default=None,
description="RAG context: similar tasks, learnings, patterns, standards",
)
# Structured content (migration 041)
pr_reviewer_notes: str | None = Field(
default=None, description="PR reviewer's rendered verdict (own slot)"
)
doc_notes: str | None = Field(
default=None, description="Documenter's rendered note (own slot)"
)
notes_structured: dict | None = Field(
default=None,
description="Typed structured note payloads — the source of truth",
)
orchestration_markers: dict | None = Field(
default=None,
description="Machine markers split out of quick_context (not human-facing)",
)
# Gateway coordination (added in migration 006_gateway_columns).
active_claimant_id: UUID | None = Field(
default=None,
description="Single-claimant lock; only one agent holds a task.",
)
last_heartbeat_at: datetime | None = Field(
default=None,
description="Last claim heartbeat; older than threshold = stale.",
)
pre_block_state: str | None = Field(
default=None,
description="Status snapshot at the moment of block.",
)
pre_block_assignee: UUID | None = Field(
default=None,
description="Assignee snapshot at the moment of block.",
)
pre_block_metadata: dict | None = Field(
default=None,
description="Snapshot used by unblock(restore=True).",
)
acceptance_criteria_status: list[dict] = Field(
default_factory=list,
description=("Per-criterion records: {criterion, referencing_artifact_id}."),
)
qa_evidence_inspected: bool = Field(
default=False,
description="True after QA inspects inline diff via claim_review.",
)
# Prompter origin tracking
source: str = Field(
default="manual",
description="Origin of the task: 'manual', 'prompter', etc.",
)
confirmed_by_human: bool = Field(
default=False,
description="Whether a human has confirmed this prompter-originated task.",
)
# NOTE: Task state mutations should be performed through TaskService,
# not directly on the model. See roboco/services/task.py for:
# - claim(), start(), block(), pause(), resume()
# - submit_for_verification(), submit_for_qa()
# - fail_qa(), pass_qa(), complete(), cancel()
# - add_checkpoint(), add_progress(), add_commit()
# =============================================================================
# CREATE/UPDATE SCHEMAS
# =============================================================================
class TaskCreate(RobocoBase):
"""Schema for creating a new task.
Mirrors :data:`roboco.foundation.policy.task_completeness.TASK_AT_CREATE`
so under-filled payloads fail at the request boundary — no silent
defaults, no "code"/"technical"/"medium" fallbacks. The 2026-05-08 trace
showed agents omitting task_type and the old default of "code"
deadlocking the lifecycle; the same silent-default trap existed for
nature ("technical") and complexity ("medium"). Force callers to
declare intent.
"""
title: str = Field(..., min_length=1, max_length=200)
# 20-char minimum mirrors TASK_AT_CREATE.description (MIN_LENGTH=20).
# Forces a real one-line summary instead of "x" or "see title".
description: str = Field(..., min_length=20)
acceptance_criteria: list[str] = Field(..., min_length=1)
team: Team = Field(...)
priority: int = Field(default=2, ge=0, le=3)
parent_task_id: UUID | None = None
# Accepts an agent UUID or an agent slug (e.g. "main-pm", "be-dev-1").
# The route handler resolves slugs to UUIDs before persisting.
assigned_to: str | None = None
target_date: datetime | None = None
# task_type, nature, estimated_complexity are EXPLICITLY_DECLARED in
# TASK_AT_CREATE — no defaults.
estimated_complexity: Complexity = Field(...)
status: TaskStatus | None = None # PM can set 'backlog' for subtasks needing setup
# Ordering and dependencies
sequence: int = Field(
default=0, description="Order within siblings (lower = first)"
)
dependency_ids: list[UUID] = Field(
default_factory=list,
description="Task IDs that must complete before this task can be claimed",
)
# Git configuration (all tasks follow git workflow)
task_type: TaskType = Field(...)
nature: TaskNature = Field(...)
# A task targets a single repo (project_id) OR fans out across cells via a
# product (product_id, a cell->project map). Exactly one is needed; a
# board/coordination task uses product_id and has no project of its own.
project_id: UUID | None = None
product_id: UUID | None = None
# Prompter origin tracking
source: str = Field(default="manual")
confirmed_by_human: bool = Field(default=False)
@model_validator(mode="after")
def _project_or_product(self) -> "TaskCreate":
if self.project_id is None and self.product_id is None:
raise ValueError(
"a task needs either a project_id (the repo it targets) or a "
"product_id (a cell->project map for a fan-out task)"
)
return self
class TaskUpdate(RobocoBase):
"""Schema for updating a task."""
title: str | None = None
description: str | None = None
acceptance_criteria: list[str] | None = None
priority: int | None = Field(default=None, ge=0, le=3)
status: TaskStatus | None = None
assigned_to: UUID | None = None
target_date: datetime | None = None
estimated_complexity: Complexity | None = None
dev_notes: str | None = None
qa_notes: str | None = None
auditor_notes: str | None = None
quick_context: str | None = None
pr_reviewer_notes: str | None = None
doc_notes: str | None = None
# Git fields
task_type: TaskType | None = None
nature: TaskNature | None = None
project_id: UUID | None = None
branch_name: str | None = None
pr_number: int | None = None
pr_url: str | None = None
docs_complete: bool | None = None
pr_created: bool | None = None
# =============================================================================
# SERVICE PARAMETERS
# =============================================================================
@dataclass
class TaskCreateRequest:
"""Request data for creating a task via TaskService.
Mirrors :data:`roboco.foundation.policy.task_completeness.TASK_AT_CREATE`.
`task_type`, `nature`, and `estimated_complexity` are required —
no silent "code"/"technical"/"medium" fallbacks. The 2026-05-08 trace
showed those defaults deadlocking the lifecycle.
"""
# Required fields (no defaults) — all of TASK_AT_CREATE plus owner/project.
title: str
description: str
acceptance_criteria: list[str]
team: Team
created_by: UUID
task_type: TaskType
nature: TaskNature
estimated_complexity: Complexity
# Optional fields (with defaults)
priority: int = 2
parent_task_id: UUID | None = None
assigned_to: UUID | None = None
target_date: datetime | None = None
status: TaskStatus | None = None # PM can set BACKLOG for subtasks
# A single-repo task sets project_id; a fan-out task sets product_id and the
# cells' subtasks resolve their own project from it.
project_id: UUID | None = None
product_id: UUID | None = None
# Ordering and dependencies
sequence: int = 0 # Order within siblings (lower = first)
dependency_ids: list[UUID] = field(default_factory=list)
# Sequenced batch intake ("Mega task") collision surface — see Task model.
batch_id: UUID | None = None
intends_to_touch: list[str] | None = None
adds_migration: bool = False
touches_shared: bool = False
# AC identity + linkage (migration 036). acceptance_criteria_ids is generated
# in TaskService.create when empty; parent_ac_refs is the parent AC ids a
# decomposition child is responsible for (the coverage/roll-up linkage).
acceptance_criteria_ids: list[str] = field(default_factory=list)
parent_ac_refs: list[str] = field(default_factory=list)
# Prompter origin tracking
source: str = "manual"
confirmed_by_human: bool = False