feat: add backend foundations

This commit is contained in:
Abhishek Kumar 2026-05-18 13:26:29 +05:30
parent 0097974444
commit e313f2d235
7 changed files with 577 additions and 0 deletions

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@ -0,0 +1,41 @@
"""add workflow_run_text_sessions
Revision ID: 2f638891cbb6
Revises: 4c1f1e3e8ef2
Create Date: 2026-05-18 12:58:58.573381
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision: str = '2f638891cbb6'
down_revision: Union[str, None] = '4c1f1e3e8ef2'
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table('workflow_run_text_sessions',
sa.Column('workflow_run_id', sa.Integer(), nullable=False),
sa.Column('revision', sa.Integer(), server_default=sa.text('0'), nullable=False),
sa.Column('session_data', sa.JSON(), server_default=sa.text("'{}'::json"), nullable=False),
sa.Column('checkpoint', sa.JSON(), server_default=sa.text("'{}'::json"), nullable=False),
sa.Column('created_at', sa.DateTime(timezone=True), nullable=True),
sa.Column('updated_at', sa.DateTime(timezone=True), nullable=True),
sa.ForeignKeyConstraint(['workflow_run_id'], ['workflow_runs.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('workflow_run_id')
)
op.create_index('ix_workflow_run_text_sessions_updated_at', 'workflow_run_text_sessions', ['updated_at'], unique=False)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_index('ix_workflow_run_text_sessions_updated_at', table_name='workflow_run_text_sessions')
op.drop_table('workflow_run_text_sessions')
# ### end Alembic commands ###

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@ -16,12 +16,14 @@ from api.db.webhook_credential_client import WebhookCredentialClient
from api.db.workflow_client import WorkflowClient
from api.db.workflow_recording_client import WorkflowRecordingClient
from api.db.workflow_run_client import WorkflowRunClient
from api.db.workflow_run_text_session_client import WorkflowRunTextSessionClient
from api.db.workflow_template_client import WorkflowTemplateClient
class DBClient(
WorkflowClient,
WorkflowRunClient,
WorkflowRunTextSessionClient,
UserClient,
OrganizationClient,
OrganizationConfigurationClient,

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@ -482,6 +482,12 @@ class WorkflowRunModel(Base):
queued_run_id = Column(Integer, ForeignKey("queued_runs.id"), nullable=True)
queued_run = relationship("QueuedRunModel", foreign_keys=[queued_run_id])
public_access_token = Column(String(36), nullable=True)
text_session = relationship(
"WorkflowRunTextSessionModel",
back_populates="workflow_run",
uselist=False,
cascade="all, delete-orphan",
)
# Indexes
__table_args__ = (
@ -501,6 +507,45 @@ class WorkflowRunModel(Base):
)
class WorkflowRunTextSessionModel(Base):
__tablename__ = "workflow_run_text_sessions"
workflow_run_id = Column(
Integer,
ForeignKey("workflow_runs.id", ondelete="CASCADE"),
primary_key=True,
)
workflow_run = relationship("WorkflowRunModel", back_populates="text_session")
revision = Column(
Integer,
nullable=False,
default=0,
server_default=text("0"),
)
session_data = Column(
JSON,
nullable=False,
default=dict,
server_default=text("'{}'::json"),
)
checkpoint = Column(
JSON,
nullable=False,
default=dict,
server_default=text("'{}'::json"),
)
created_at = Column(DateTime(timezone=True), default=lambda: datetime.now(UTC))
updated_at = Column(
DateTime(timezone=True),
default=lambda: datetime.now(UTC),
onupdate=lambda: datetime.now(UTC),
)
__table_args__ = (
Index("ix_workflow_run_text_sessions_updated_at", "updated_at"),
)
class OrganizationUsageCycleModel(Base):
"""
This model is used to track the usage of Dograh tokens for an organization for a given usage

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@ -0,0 +1,128 @@
from sqlalchemy.future import select
from sqlalchemy.orm import joinedload
from api.db.base_client import BaseDBClient
from api.db.models import (
WorkflowModel,
WorkflowRunModel,
WorkflowRunTextSessionModel,
)
class WorkflowRunTextSessionRevisionConflictError(Exception):
def __init__(self, expected_revision: int, actual_revision: int):
self.expected_revision = expected_revision
self.actual_revision = actual_revision
super().__init__(
"Workflow run text session revision conflict: "
f"expected {expected_revision}, found {actual_revision}"
)
class WorkflowRunTextSessionClient(BaseDBClient):
async def ensure_workflow_run_text_session(
self,
workflow_run_id: int,
session_data: dict | None = None,
checkpoint: dict | None = None,
) -> WorkflowRunTextSessionModel:
async with self.async_session() as session:
result = await session.execute(
select(WorkflowRunTextSessionModel)
.where(WorkflowRunTextSessionModel.workflow_run_id == workflow_run_id)
.with_for_update()
)
text_session = result.scalars().first()
if text_session:
return text_session
run_result = await session.execute(
select(WorkflowRunModel).where(WorkflowRunModel.id == workflow_run_id)
)
workflow_run = run_result.scalars().first()
if not workflow_run:
raise ValueError(f"Workflow run with ID {workflow_run_id} not found")
text_session = WorkflowRunTextSessionModel(
workflow_run_id=workflow_run_id,
session_data=session_data or {},
checkpoint=checkpoint or {},
)
session.add(text_session)
try:
await session.commit()
except Exception as e:
await session.rollback()
raise e
await session.refresh(text_session)
return text_session
async def get_workflow_run_text_session(
self,
workflow_run_id: int,
user_id: int | None = None,
organization_id: int | None = None,
) -> WorkflowRunTextSessionModel | None:
async with self.async_session() as session:
query = (
select(WorkflowRunTextSessionModel)
.options(
joinedload(WorkflowRunTextSessionModel.workflow_run).joinedload(
WorkflowRunModel.workflow
)
)
.join(WorkflowRunTextSessionModel.workflow_run)
.join(WorkflowRunModel.workflow)
.where(WorkflowRunTextSessionModel.workflow_run_id == workflow_run_id)
)
if organization_id is not None:
query = query.where(WorkflowModel.organization_id == organization_id)
elif user_id is not None:
query = query.where(WorkflowModel.user_id == user_id)
result = await session.execute(query)
return result.scalars().first()
async def update_workflow_run_text_session(
self,
workflow_run_id: int,
*,
session_data: dict | None = None,
checkpoint: dict | None = None,
expected_revision: int | None = None,
) -> WorkflowRunTextSessionModel:
async with self.async_session() as session:
result = await session.execute(
select(WorkflowRunTextSessionModel)
.where(WorkflowRunTextSessionModel.workflow_run_id == workflow_run_id)
.with_for_update()
)
text_session = result.scalars().first()
if not text_session:
raise ValueError(
f"Workflow run text session with run ID {workflow_run_id} not found"
)
if (
expected_revision is not None
and text_session.revision != expected_revision
):
raise WorkflowRunTextSessionRevisionConflictError(
expected_revision=expected_revision,
actual_revision=text_session.revision,
)
if session_data is not None:
text_session.session_data = session_data
if checkpoint is not None:
text_session.checkpoint = checkpoint
text_session.revision += 1
try:
await session.commit()
except Exception as e:
await session.rollback()
raise e
await session.refresh(text_session)
return text_session

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@ -27,6 +27,7 @@ class WorkflowRunMode(Enum):
TELNYX = "telnyx"
WEBRTC = "webrtc"
SMALLWEBRTC = "smallwebrtc"
TEXTCHAT = "textchat"
# Historical, not used anymore. Don't
# use and don't remove

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@ -26,6 +26,7 @@ from api.routes.webrtc_signaling import router as webrtc_signaling_router
from api.routes.workflow import router as workflow_router
from api.routes.workflow_embed import router as workflow_embed_router
from api.routes.workflow_recording import router as workflow_recording_router
from api.routes.workflow_text_chat import router as workflow_text_chat_router
router = APIRouter(
tags=["main"],
@ -35,6 +36,7 @@ router = APIRouter(
router.include_router(telephony_router)
router.include_router(superuser_router)
router.include_router(workflow_router)
router.include_router(workflow_text_chat_router)
router.include_router(user_router)
router.include_router(campaign_router)
router.include_router(credentials_router)

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@ -0,0 +1,358 @@
from datetime import UTC, datetime
from typing import Any, Dict
from uuid import uuid4
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel, Field
from api.db import db_client
from api.db.models import UserModel, WorkflowRunTextSessionModel
from api.db.workflow_run_text_session_client import (
WorkflowRunTextSessionRevisionConflictError,
)
from api.enums import WorkflowRunMode
from api.services.auth.depends import get_user
router = APIRouter(prefix="/workflow", tags=["workflow-text-chat"])
TEXT_CHAT_SESSION_VERSION = 1
TEXT_CHAT_CHECKPOINT_VERSION = 1
class CreateTextChatSessionRequest(BaseModel):
name: str | None = None
initial_context: Dict[str, Any] | None = None
annotations: Dict[str, Any] | None = None
class AppendTextChatMessageRequest(BaseModel):
text: str = Field(min_length=1)
expected_revision: int | None = None
class RewindTextChatSessionRequest(BaseModel):
cursor_turn_id: str | None = None
expected_revision: int | None = None
class WorkflowRunTextSessionResponse(BaseModel):
workflow_run_id: int
workflow_id: int
name: str
mode: str
state: str
is_completed: bool
revision: int
initial_context: Dict[str, Any] | None = None
gathered_context: Dict[str, Any] | None = None
annotations: Dict[str, Any] | None = None
session_data: Dict[str, Any]
checkpoint: Dict[str, Any]
created_at: datetime
updated_at: datetime | None = None
def _default_session_data() -> Dict[str, Any]:
return {
"version": TEXT_CHAT_SESSION_VERSION,
"status": "idle",
"cursor_turn_id": None,
"turns": [],
"discarded_future": [],
"simulator": {
"enabled": False,
"config": {},
},
}
def _default_checkpoint() -> Dict[str, Any]:
return {
"version": TEXT_CHAT_CHECKPOINT_VERSION,
"anchor_turn_id": None,
"current_node_id": None,
"messages": [],
"gathered_context": {},
"tool_state": {},
}
def _normalize_session_data(session_data: Dict[str, Any] | None) -> Dict[str, Any]:
normalized = {
**_default_session_data(),
**(session_data or {}),
}
normalized["turns"] = list(normalized.get("turns") or [])
normalized["discarded_future"] = list(normalized.get("discarded_future") or [])
simulator = normalized.get("simulator") or {}
normalized["simulator"] = {
"enabled": bool(simulator.get("enabled", False)),
"config": dict(simulator.get("config") or {}),
}
return normalized
def _normalize_checkpoint(checkpoint: Dict[str, Any] | None) -> Dict[str, Any]:
normalized = {
**_default_checkpoint(),
**(checkpoint or {}),
}
normalized["messages"] = list(normalized.get("messages") or [])
normalized["gathered_context"] = dict(normalized.get("gathered_context") or {})
normalized["tool_state"] = dict(normalized.get("tool_state") or {})
return normalized
def _get_state_value(state: Any) -> str:
return state.value if hasattr(state, "value") else str(state)
def _build_response(
text_session: WorkflowRunTextSessionModel,
) -> WorkflowRunTextSessionResponse:
workflow_run = text_session.workflow_run
return WorkflowRunTextSessionResponse(
workflow_run_id=workflow_run.id,
workflow_id=workflow_run.workflow_id,
name=workflow_run.name,
mode=workflow_run.mode,
state=_get_state_value(workflow_run.state),
is_completed=workflow_run.is_completed,
revision=text_session.revision,
initial_context=workflow_run.initial_context,
gathered_context=workflow_run.gathered_context,
annotations=workflow_run.annotations,
session_data=_normalize_session_data(text_session.session_data),
checkpoint=_normalize_checkpoint(text_session.checkpoint),
created_at=text_session.created_at,
updated_at=text_session.updated_at,
)
def _build_response_from_run_and_session(workflow_run, text_session):
return WorkflowRunTextSessionResponse(
workflow_run_id=workflow_run.id,
workflow_id=workflow_run.workflow_id,
name=workflow_run.name,
mode=workflow_run.mode,
state=_get_state_value(workflow_run.state),
is_completed=workflow_run.is_completed,
revision=text_session.revision,
initial_context=workflow_run.initial_context,
gathered_context=workflow_run.gathered_context,
annotations=workflow_run.annotations,
session_data=_normalize_session_data(text_session.session_data),
checkpoint=_normalize_checkpoint(text_session.checkpoint),
created_at=text_session.created_at,
updated_at=text_session.updated_at,
)
def _validate_turn_cursor(session_data: Dict[str, Any], cursor_turn_id: str | None) -> None:
if cursor_turn_id is None:
return
if not any(turn.get("id") == cursor_turn_id for turn in session_data["turns"]):
raise HTTPException(status_code=404, detail="Turn not found in text chat session")
def _truncate_future_turns(
session_data: Dict[str, Any],
) -> tuple[list[Dict[str, Any]], list[Dict[str, Any]]]:
cursor_turn_id = session_data.get("cursor_turn_id")
turns = list(session_data.get("turns") or [])
discarded_future = list(session_data.get("discarded_future") or [])
if cursor_turn_id is None:
return turns, discarded_future
for index, turn in enumerate(turns):
if turn.get("id") == cursor_turn_id:
active_turns = turns[: index + 1]
future_turns = turns[index + 1 :]
if future_turns:
discarded_future.append(
{
"rewound_from_turn_id": cursor_turn_id,
"discarded_at": datetime.now(UTC).isoformat(),
"turns": future_turns,
}
)
return active_turns, discarded_future
raise HTTPException(status_code=404, detail="Turn not found in text chat session")
def _latest_completed_turn_id(turns: list[Dict[str, Any]]) -> str | None:
for turn in reversed(turns):
if turn.get("status") == "completed" and turn.get("assistant_message"):
return turn.get("id")
return None
async def _load_text_session_or_404(
workflow_id: int,
run_id: int,
user: UserModel,
) -> WorkflowRunTextSessionModel:
text_session = await db_client.get_workflow_run_text_session(
run_id, organization_id=user.selected_organization_id
)
if not text_session or not text_session.workflow_run:
raise HTTPException(status_code=404, detail="Text chat session not found")
if text_session.workflow_run.workflow_id != workflow_id:
raise HTTPException(status_code=404, detail="Text chat session not found")
if text_session.workflow_run.mode != WorkflowRunMode.TEXTCHAT.value:
raise HTTPException(status_code=400, detail="Workflow run is not a text chat session")
return text_session
@router.post(
"/{workflow_id}/text-chat/sessions",
response_model=WorkflowRunTextSessionResponse,
)
async def create_text_chat_session(
workflow_id: int,
request: CreateTextChatSessionRequest,
user: UserModel = Depends(get_user),
) -> WorkflowRunTextSessionResponse:
session_name = request.name or f"WR-TEXT-{uuid4().hex[:6].upper()}"
try:
workflow_run = await db_client.create_workflow_run(
name=session_name,
workflow_id=workflow_id,
mode=WorkflowRunMode.TEXTCHAT.value,
user_id=user.id,
initial_context=request.initial_context,
use_draft=True,
)
except ValueError as e:
raise HTTPException(status_code=404, detail=str(e))
annotations = {
"tester": {
"source": "workflow_editor",
"modality": "text",
}
}
if request.annotations:
annotations = {**annotations, **request.annotations}
workflow_run = await db_client.update_workflow_run(
workflow_run.id,
annotations=annotations,
)
text_session = await db_client.ensure_workflow_run_text_session(
workflow_run.id,
session_data=_default_session_data(),
checkpoint=_default_checkpoint(),
)
return _build_response_from_run_and_session(workflow_run, text_session)
@router.get(
"/{workflow_id}/text-chat/sessions/{run_id}",
response_model=WorkflowRunTextSessionResponse,
)
async def get_text_chat_session(
workflow_id: int,
run_id: int,
user: UserModel = Depends(get_user),
) -> WorkflowRunTextSessionResponse:
text_session = await _load_text_session_or_404(workflow_id, run_id, user)
return _build_response(text_session)
@router.post(
"/{workflow_id}/text-chat/sessions/{run_id}/messages",
response_model=WorkflowRunTextSessionResponse,
)
async def append_text_chat_message(
workflow_id: int,
run_id: int,
request: AppendTextChatMessageRequest,
user: UserModel = Depends(get_user),
) -> WorkflowRunTextSessionResponse:
text_session = await _load_text_session_or_404(workflow_id, run_id, user)
session_data = _normalize_session_data(text_session.session_data)
checkpoint = _normalize_checkpoint(text_session.checkpoint)
active_turns, discarded_future = _truncate_future_turns(session_data)
now = datetime.now(UTC).isoformat()
turn_id = f"turn_{uuid4().hex[:12]}"
active_turns.append(
{
"id": turn_id,
"status": "pending",
"created_at": now,
"user_message": {
"text": request.text,
"created_at": now,
},
"assistant_message": None,
"events": [],
"usage": {},
}
)
session_data["turns"] = active_turns
session_data["discarded_future"] = discarded_future
session_data["cursor_turn_id"] = None
session_data["status"] = "pending_assistant_turn"
checkpoint["anchor_turn_id"] = _latest_completed_turn_id(active_turns)
try:
text_session = await db_client.update_workflow_run_text_session(
run_id,
session_data=session_data,
checkpoint=checkpoint,
expected_revision=request.expected_revision,
)
except WorkflowRunTextSessionRevisionConflictError as e:
raise HTTPException(
status_code=409,
detail={
"message": "Text chat session revision conflict",
"expected_revision": e.expected_revision,
"actual_revision": e.actual_revision,
},
)
text_session = await _load_text_session_or_404(workflow_id, run_id, user)
return _build_response(text_session)
@router.post(
"/{workflow_id}/text-chat/sessions/{run_id}/rewind",
response_model=WorkflowRunTextSessionResponse,
)
async def rewind_text_chat_session(
workflow_id: int,
run_id: int,
request: RewindTextChatSessionRequest,
user: UserModel = Depends(get_user),
) -> WorkflowRunTextSessionResponse:
text_session = await _load_text_session_or_404(workflow_id, run_id, user)
session_data = _normalize_session_data(text_session.session_data)
_validate_turn_cursor(session_data, request.cursor_turn_id)
session_data["cursor_turn_id"] = request.cursor_turn_id
session_data["status"] = "rewound" if request.cursor_turn_id else "idle"
try:
await db_client.update_workflow_run_text_session(
run_id,
session_data=session_data,
expected_revision=request.expected_revision,
)
except WorkflowRunTextSessionRevisionConflictError as e:
raise HTTPException(
status_code=409,
detail={
"message": "Text chat session revision conflict",
"expected_revision": e.expected_revision,
"actual_revision": e.actual_revision,
},
)
text_session = await _load_text_session_or_404(workflow_id, run_id, user)
return _build_response(text_session)