dograh/api/services/integrations/registry.py
Mohamed-Mamdouh 5f28c1b2a9
feat: add Tuner Integration to Dograh (#311)
* Add tuner integration

* bump pipecat version

* chore: update pipecat submodule to match upstream and use tuner-pipecat-sdk 0.2.0

Update pipecat submodule from 0.0.109.dev23 to 13e98d0d9 (the exact commit
upstream dograh-hq/dograh uses after v1.30.1). This installs pipecat-ai as
1.1.0.post277 via setuptools_scm, satisfying tuner-pipecat-sdk 0.2.0's
pipecat-ai>=1.0.0 requirement.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* wire tuner

* feat: refactor integrations into self contained packages

* chore: simplify ensure_public_access_token

* fix: remove NodeSpec and make DTOs the source of truth

* feat: send relevant signal to mcp using to_mcp_dict

* fix: fix tests

* cleanup: remove nango integrations

* feat: add agents.md for integrations

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Abhishek Kumar <abhishek@a6k.me>
2026-05-20 14:37:33 +05:30

128 lines
3.6 KiB
Python

from __future__ import annotations
from typing import Any
from api.services.integrations.base import (
IntegrationCompletionContext,
IntegrationNodeRegistration,
IntegrationPackageSpec,
IntegrationRuntimeContext,
)
from api.services.workflow.node_data import BaseNodeData
_PACKAGE_REGISTRY: dict[str, IntegrationPackageSpec] = {}
def register_package(spec: IntegrationPackageSpec) -> IntegrationPackageSpec:
existing = _PACKAGE_REGISTRY.get(spec.name)
if existing is not None and existing is not spec:
raise ValueError(
f"Duplicate integration package registration for {spec.name!r}"
)
_PACKAGE_REGISTRY[spec.name] = spec
return spec
def _ensure_loaded() -> None:
from api.services.integrations.loader import ensure_integrations_loaded
ensure_integrations_loaded()
def all_packages() -> list[IntegrationPackageSpec]:
_ensure_loaded()
return [_PACKAGE_REGISTRY[name] for name in sorted(_PACKAGE_REGISTRY)]
def get_package(name: str) -> IntegrationPackageSpec | None:
_ensure_loaded()
return _PACKAGE_REGISTRY.get(name)
def get_node_registration(type_name: str) -> IntegrationNodeRegistration | None:
_ensure_loaded()
for package in _PACKAGE_REGISTRY.values():
for node in package.nodes:
if node.type_name == type_name:
return node
return None
def get_node_data_model(type_name: str) -> type[BaseNodeData] | None:
registration = get_node_registration(type_name)
return registration.data_model if registration else None
def get_node_spec(type_name: str):
registration = get_node_registration(type_name)
return registration.node_spec if registration else None
def get_node_secret_fields(type_name: str) -> tuple[str, ...]:
registration = get_node_registration(type_name)
return registration.sensitive_fields if registration else ()
def all_node_specs():
_ensure_loaded()
specs = []
for package in all_packages():
specs.extend(node.node_spec for node in package.nodes)
return specs
def all_routers():
_ensure_loaded()
routers = []
for package in all_packages():
routers.extend(package.routers)
return routers
def create_runtime_sessions(
context: IntegrationRuntimeContext,
):
_ensure_loaded()
sessions = []
for package in all_packages():
if package.create_runtime_sessions is None:
continue
sessions.extend(package.create_runtime_sessions(context))
return sessions
def iter_completion_packages(
workflow_definition: dict[str, Any],
):
_ensure_loaded()
nodes = workflow_definition.get("nodes", []) if workflow_definition else []
for package in all_packages():
node_types = {node.type_name for node in package.nodes}
package_nodes = [
node
for node in nodes
if isinstance(node, dict) and node.get("type") in node_types
]
if package_nodes:
yield package, package_nodes
def has_completion_handlers(workflow_definition: dict[str, Any]) -> bool:
return any(
package.run_completion is not None
for package, _nodes in iter_completion_packages(workflow_definition)
)
async def run_completion_handlers(
*,
context: IntegrationCompletionContext,
) -> dict[str, Any]:
results: dict[str, Any] = {}
for package, nodes in iter_completion_packages(context.workflow_definition):
if package.run_completion is None:
continue
package_result = await package.run_completion(nodes, context)
if package_result:
results.update(package_result)
return results