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* 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>
76 lines
2.7 KiB
Python
76 lines
2.7 KiB
Python
from __future__ import annotations
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import copy
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from datetime import UTC, datetime
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from typing import Any
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from loguru import logger
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from api.constants import BACKEND_API_ENDPOINT, TUNER_BASE_URL
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from api.services.integrations.base import IntegrationCompletionContext
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from .client import TunerDeliveryConfig, post_call
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from .collector import TUNER_RECORDING_PLACEHOLDER
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from .node import TunerNodeData
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def _build_recording_url(
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context: IntegrationCompletionContext,
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) -> str | None:
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workflow_run = context.workflow_run
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if context.public_token:
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base_url = f"{BACKEND_API_ENDPOINT}/api/v1/public/download/workflow/{context.public_token}"
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return f"{base_url}/recording" if workflow_run.recording_url else None
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return workflow_run.recording_url
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async def run_completion(
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nodes: list[dict[str, Any]],
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context: IntegrationCompletionContext,
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) -> dict[str, Any]:
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results: dict[str, Any] = {}
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payload_snapshot = (context.workflow_run.logs or {}).get("tuner_payload")
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recording_url = _build_recording_url(context) or TUNER_RECORDING_PLACEHOLDER
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for node in nodes:
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node_id = node.get("id", "unknown")
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try:
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tuner_data = TunerNodeData.model_validate(node.get("data", {}))
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except Exception as exc:
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logger.warning(f"Tuner node #{node_id} failed validation, skipping: {exc}")
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results[f"tuner_{node_id}"] = {"error": "validation_failed"}
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continue
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if not tuner_data.tuner_enabled:
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logger.debug(f"Tuner node '{tuner_data.name}' is disabled, skipping")
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continue
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if not payload_snapshot:
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logger.warning(
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f"Tuner payload snapshot missing for node '{tuner_data.name}' (#{node_id})"
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)
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results[f"tuner_{node_id}"] = {"error": "missing_payload_snapshot"}
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continue
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payload = copy.deepcopy(payload_snapshot)
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payload["recording_url"] = recording_url
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try:
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config = TunerDeliveryConfig(
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base_url=TUNER_BASE_URL,
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api_key=tuner_data.tuner_api_key or "",
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workspace_id=tuner_data.tuner_workspace_id or 0,
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agent_id=tuner_data.tuner_agent_id or "",
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)
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delivery = await post_call(config, payload)
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results[f"tuner_{node_id}"] = {
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**delivery,
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"workspace_id": tuner_data.tuner_workspace_id,
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"agent_id": tuner_data.tuner_agent_id,
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"exported_at": datetime.now(UTC).isoformat(),
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}
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except Exception as exc:
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logger.error(f"Tuner export failed for node '{tuner_data.name}': {exc}")
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results[f"tuner_{node_id}"] = {"error": str(exc)}
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return results
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