dify/api/core/dify_builder/models.py

"""Dify Builder domain models.

Port of dify-enterprise/server/pkg/enterprise/biz/dify_builder/models.go.

Deltas from the Go source (per the P1 port plan's Global Constraints / ADR):

- ``ForwardAuth`` is dropped entirely. ``Turn`` carries an ``Actor``
  (``account_id``, ``tenant_id``) instead of a forwarded console token, which
  is never persisted and only ever valid for a single ``Advance`` call.
- Every field except ``PcState``/``EntryMode``-typed fields
  (``Session.entry_mode``, ``Session.current_state``, ``Checkpoint.state``)
  ``Turn.actor``, and ``ChangedNode.node_id`` gets a default matching the Go zero value (``""``,
  ``0``, ``False``, empty list/dict, ``datetime.min``). This mirrors how the
  Go test suite constructs these structs: almost every struct literal in
  ``*_test.go`` sets only a handful of fields and relies on Go's implicit
  zero-initialization for the rest (e.g. ``&Session{AppID: "app", ...}``,
  ``&DifyBuilderContext{}``, ``&DifyBuilderContext{FailedRunID: "TR-1"}``). The excepted
  fields have no meaningful "empty" value (an empty string is not a valid
  ``PcState``/``EntryMode`` member) and are always set explicitly in the Go
  suite, so they stay required here.
- ``Diagnosis`` / ``Risk`` / ``MutationIntent`` / ``ChangeSet`` / ``NodeEvent``
  / ``ApplyResult`` (Go: ``ports.go``) live here rather than in ``ports.py``.
  ``DifyBuilderContext`` embeds ``Diagnosis``/``Risk``/``ChangeSet``/
  ``MutationIntent`` directly, and defining them in ``ports.py`` (which
  imports the rest of these models) would create a models<->ports import
  cycle; ``ports.py`` imports them back out of this module instead.
"""

from dataclasses import dataclass, field
from datetime import datetime
from enum import StrEnum
from typing import Any

from core.dify_builder.state import PcState


class EntryMode(StrEnum):
    FIX = "fix"
    FIX_CHECKLIST = "fix_checklist"
    BUILD = "build"
    EDIT = "edit"


@dataclass(kw_only=True)
class ChecklistError:
    """One pre-publish checklist finding for a node.

    Config errors (``messages``) are fixable via ``set_node_config``;
    ``unconnected`` and ``plugin_missing`` are structural — surfaced to the
    user, not auto-fixed in v1.
    """

    node_id: str = ""
    node_type: str = ""
    title: str = ""
    messages: list[str] = field(default_factory=list)
    unconnected: bool = False
    plugin_missing: bool = False


@dataclass(kw_only=True)
class Session:
    id: str = ""
    app_id: str = ""
    tenant_id: str = ""
    owner_account_id: str = ""
    entry_mode: EntryMode
    current_state: PcState
    version: int = 0
    created_at: datetime = field(default_factory=lambda: datetime.min)
    updated_at: datetime = field(default_factory=lambda: datetime.min)


# Graph, Inputs and StartSchema are opaque JSON blobs the engine passes
# through; only the Dify adapter and the agent interpret them.
Graph = dict[str, Any]
Inputs = dict[str, Any]
StartSchema = dict[str, Any]


@dataclass(kw_only=True)
class NodeOutput:
    node_id: str = ""
    title: str = ""
    status: str = ""  # success | failed | skip
    error: str = ""
    inputs: Inputs = field(default_factory=dict)
    outputs: Inputs = field(default_factory=dict)


@dataclass(kw_only=True)
class Run:
    id: str = ""
    kind: str = ""  # original-failed | verify
    dify_run_id: str = ""
    status: str = ""  # running | succeeded | failed
    per_node: list[NodeOutput] = field(default_factory=list)
    culprit_node_id: str = ""
    # Launch-failure text (run threw before any node executed); "" once a node ran.
    error: str = ""
    inputs_ref: str = ""
    tokens: int = 0
    elapsed_ms: int = 0
    immutable: bool = False


@dataclass(kw_only=True)
class Snapshot:
    id: str = ""
    session_id: str = ""
    hash: str = ""
    graph: Graph = field(default_factory=dict)


@dataclass(kw_only=True)
class Checkpoint:
    id: str = ""
    session_id: str = ""
    state: PcState
    snapshot_id: str = ""


@dataclass(kw_only=True)
class TestInput:
    # Not a pytest test class; ``__test__`` (unannotated, so not a dataclass
    # field) tells pytest's Test*-name collector to skip it.
    __test__ = False

    id: str = ""
    session_id: str = ""
    source: str = ""  # reuse | mock | upload
    inputs: Inputs = field(default_factory=dict)
    start_schema_hash: str = ""


@dataclass(kw_only=True)
class ConversationItem:
    seq: int = 0
    kind: str = ""  # user | decision | notice | run_context | preflight_context | assistant_turn | plan
    # | form | challenge | resource_select | checkpoint | change_set | test_result | error | summary
    # | publish | build_learning
    payload: dict[str, Any] = field(default_factory=dict)
    at_version: int = 0


@dataclass(kw_only=True)
class Diagnosis:
    culprit_node_id: str = ""
    root_cause: str = ""
    severity: str = ""


@dataclass(kw_only=True)
class Risk:
    level: str = ""  # low | high
    reason: str = ""
    has_external_side_effect: bool = False


@dataclass(kw_only=True)
class MutationIntent:
    """A single graph mutation the dify_builder applies to the draft.

    ``op`` selects one of five verbs (Slice 1: mutation verbs); ``args`` is
    the verb's untyped wire-shaped payload -- ``services.dify_builder
    .graph_ops`` unpacks it as keyword arguments (``apply_fn(graph,
    **intent.args)``), so each verb's arg-dict keys below are exactly that
    verb's ``apply_*`` function's parameter names. Required keys are
    enforced by ``graph_ops.validate_intent_args``; ``?`` marks an optional
    key.

    - ``set_node_config``: ``{node_id, path, value}``
    - ``create_node``: ``{node_type, config, position?, node_id?}``
    - ``delete_node``: ``{node_id}``
    - ``connect``: ``{from_node, to_node, source_handle?, target_handle?}``
    - ``insert_between``: ``{edge, node_type, config, position?, node_id?}``
    """

    op: str = ""
    args: dict[str, Any] = field(default_factory=dict)


@dataclass(kw_only=True)
class ChangeSet:
    changed_nodes: list[str] = field(default_factory=list)
    diff: str = ""


@dataclass(kw_only=True)
class NodeEvent:
    """A per-node progress event emitted while a draft run streams."""

    node_id: str = ""
    title: str = ""
    status: str = ""
    error: str = ""


@dataclass(kw_only=True)
class ChangedNode:
    """A node's identity and display name captured with a change summary."""

    node_id: str
    title: str = ""


@dataclass(kw_only=True)
class ApplyResult:
    """Reports what a repair changed and the draft's new hash."""

    changed_nodes: list[str] = field(default_factory=list)
    nodes: list[ChangedNode] = field(default_factory=list)
    new_hash: str = ""
    changes: list[str] = field(default_factory=list)
    scope: str = ""
    structure_fingerprint: str = ""


@dataclass(kw_only=True)
class BuildNodesResult:
    """Outcome of ``build_nodes``: the create/connect ``intents`` to apply, plus a
    human-readable ``error`` explaining WHY generation failed when ``intents`` is
    empty -- the generator's specific reason (e.g. UNRESOLVED_REFERENCE, non-object
    JSON) or a provider error (e.g. credit_balance_exhausted). Empty on success."""

    intents: list[MutationIntent] = field(default_factory=list)
    error: str = ""
    # Structured, timestamped breadcrumbs for the exported debug log. Server logs
    # are lost when the api pod restarts, so each failed generation attempt travels
    # back here (server UTC ``at``, generator ``code``/``node_id``/``detail``) and is
    # stamped onto the ErrorCard -> conversation item -> exported trace.
    diagnostics: list[dict[str, Any]] = field(default_factory=list)


@dataclass(kw_only=True)
class DifyBuilderContext:
    """Per-session working state persisted as the commit context.

    One context type for all entry modes (Fix, checklist, Build, Edit).
    Fix-specific and Build-specific fields coexist; each scenario touches
    only its own, all default-valued (serialized as a JSON blob -- no
    migration on rename or on adding fields).
    """

    # -- Fix / checklist fields --
    failed_run_id: str = ""
    diagnosis: Diagnosis | None = None
    staged_repair: list[MutationIntent] = field(default_factory=list)
    risk: Risk | None = None
    change_set: ChangeSet | None = None
    checkpoint_id: str = ""
    verify_run_id: str = ""
    test_input_ref: str = ""
    last_snapshot_hash: str = ""
    next_seq: int = 0
    # source distinguishes diagnosis origin: "" (run, default) | "checklist".
    source: str = ""
    checklist_errors: list[ChecklistError] = field(default_factory=list)

    # -- Build fields (Slice 2, additive) --
    goal_text: str = ""
    reply_language: str = ""  # detected user-input language (BCP-47); drives reply/localization
    requirements: dict[str, Any] = field(default_factory=dict)
    plan_items: list[str] = field(default_factory=list)
    plan_version_tag: str = ""
    resource_selection: dict[str, Any] = field(default_factory=dict)
    built_node_ids: list[str] = field(default_factory=list)
    form_fields: list[dict] = field(default_factory=list)
    # The app's name as last seen by the engine, so the build-complete card can
    # say it (spec N4). Empty means unknown -- that card then keeps its generic
    # title rather than naming the app wrongly.
    app_name: str = ""
    # True while the app still carries the name cut from its creating prompt, so
    # Builder may refine it once (spec N1); cleared the moment it does. Plan
    # approval freezes the name for good (spec N3, 批准即定名).
    app_name_auto: bool = False

    # -- Edit fields (Slice 3, additive) --
    edit_rules: dict[str, Any] = field(default_factory=dict)
    edit_target_node_ids: list[str] = field(default_factory=list)

    # -- Lifecycle fields (Slice 4, additive) --
    paused: bool = False
    checkpoint_seq: int = 0

    # -- Recovery fields (C-1, additive) --
    last_structure_fingerprint: str = ""
    recovery_class: str = ""

    # -- Governance fields (C-2, additive) --
    skill_learning_policy: str = "ask"

    # -- Agent model selection (Foundation slice, additive) --
    # The user's per-session model choice, in Dify's model-selector shape
    # {provider, name, mode, completion_params}. Empty == use the tenant default LLM.
    # Kept a plain dict so core imports no services/model-runtime type.
    model_config: dict[str, Any] = field(default_factory=dict)


@dataclass(kw_only=True)
class Action:
    """A user-driven event entering the machine."""

    # request_fix | approve_repair | reject_repair | run_verify | provide_testdata |
    # publish | keep_draft | undo | re_fix | message
    kind: str = ""
    payload: dict[str, Any] = field(default_factory=dict)
    base_version: int = 0
    # Opaque draft-workflow revision observed in the latest server view.
    # Empty means the action does not mutate or otherwise depend on the app
    # draft (for example a free-text conversation turn).
    base_app_revision: str = ""


@dataclass(kw_only=True)
class Actor:
    """The acting console identity for one Advance call. Never persisted."""

    account_id: str
    tenant_id: str


@dataclass(kw_only=True)
class Turn:
    """Per-request data carried through one Advance.

    Replaces Go's ``Turn.Auth ForwardAuth`` — there is no forwarded console
    token in this port; ``actor`` identifies who is driving this turn.
    """

    action: Action | None = None
    actor: Actor