dograh/api/tests/test_workflow_run_cost.py
Abhishek d97d1d72cd
feat: add chat based testing for voice agent (#308)
* feat: add backend foundations

* feat: add text chat UI

* chore: simplify the reload behaviour

* fix: fix upgrade banner to be triggered after package upload

* feat: simplify TesterPanel design

* chore: fix formatting and generate client

* chore: fix tracing for text chat mode

* fix: fix revert and edit CTA

* refactor: refactor TesterPanel into smaller components

* feat: enable runtime transition of nodes

* fix: fix review comments
2026-05-21 15:20:02 +05:30

181 lines
5.5 KiB
Python

from datetime import UTC, datetime
from types import SimpleNamespace
from unittest.mock import AsyncMock
import pytest
from api.services.pricing import workflow_run_cost as workflow_run_cost_mod
from api.services.pricing.workflow_run_cost import (
apply_usage_delta_to_organization,
build_workflow_run_cost_info,
calculate_workflow_run_cost,
)
def _make_workflow_run():
return SimpleNamespace(
id=123,
workflow_id=456,
mode="textchat",
created_at=datetime.now(UTC),
usage_info={
"llm": {},
"tts": {},
"stt": {},
"call_duration_seconds": 7,
},
cost_info={},
workflow=SimpleNamespace(
organization_id=42,
user=SimpleNamespace(selected_organization_id=42),
),
)
@pytest.mark.asyncio
async def test_build_workflow_run_cost_info_does_not_update_org_usage(monkeypatch):
workflow_run = _make_workflow_run()
get_org = AsyncMock(return_value=SimpleNamespace(id=42, price_per_second_usd=1.5))
update_usage = AsyncMock()
monkeypatch.setattr(
workflow_run_cost_mod.db_client, "get_organization_by_id", get_org
)
monkeypatch.setattr(
workflow_run_cost_mod.db_client, "update_usage_after_run", update_usage
)
cost_info = await build_workflow_run_cost_info(workflow_run)
assert cost_info is not None
assert cost_info["call_duration_seconds"] == 7
assert "cost_breakdown" in cost_info
assert "dograh_token_usage" in cost_info
assert cost_info["charge_usd"] == 10.5
update_usage.assert_not_called()
@pytest.mark.asyncio
async def test_calculate_workflow_run_cost_keeps_org_usage_side_effect_in_wrapper(
monkeypatch,
):
workflow_run = _make_workflow_run()
get_org = AsyncMock(return_value=SimpleNamespace(id=42, price_per_second_usd=None))
update_run = AsyncMock()
update_usage = AsyncMock()
monkeypatch.setattr(
workflow_run_cost_mod.db_client,
"get_workflow_run_by_id",
AsyncMock(return_value=workflow_run),
)
monkeypatch.setattr(
workflow_run_cost_mod.db_client, "get_organization_by_id", get_org
)
monkeypatch.setattr(
workflow_run_cost_mod.db_client, "update_workflow_run", update_run
)
monkeypatch.setattr(
workflow_run_cost_mod.db_client, "update_usage_after_run", update_usage
)
await calculate_workflow_run_cost(workflow_run.id)
update_run.assert_awaited_once()
saved_kwargs = update_run.await_args.kwargs
assert saved_kwargs["run_id"] == workflow_run.id
assert "cost_breakdown" in saved_kwargs["cost_info"]
update_usage.assert_awaited_once()
@pytest.mark.asyncio
async def test_apply_usage_delta_to_organization_uses_incremental_costs(
monkeypatch,
):
workflow_run = _make_workflow_run()
workflow_run.cost_info = {"call_id": "preserve-me"}
usage_delta_one = {
"llm": {
"OpenAILLMService#0|||gpt-4.1-mini": {
"prompt_tokens": 1_000,
"completion_tokens": 100,
"total_tokens": 1_100,
"cache_read_input_tokens": 0,
"cache_creation_input_tokens": 0,
}
},
"tts": {},
"stt": {},
"call_duration_seconds": 3,
}
usage_delta_two = {
"llm": {
"OpenAILLMService#0|||gpt-4.1-mini": {
"prompt_tokens": 2_000,
"completion_tokens": 50,
"total_tokens": 2_050,
"cache_read_input_tokens": 0,
"cache_creation_input_tokens": 0,
}
},
"tts": {},
"stt": {},
"call_duration_seconds": 4,
}
merged_usage = {
"llm": {
"OpenAILLMService#0|||gpt-4.1-mini": {
"prompt_tokens": 3_000,
"completion_tokens": 150,
"total_tokens": 3_150,
"cache_read_input_tokens": 0,
"cache_creation_input_tokens": 0,
}
},
"tts": {},
"stt": {},
"call_duration_seconds": 7,
}
get_org = AsyncMock(return_value=SimpleNamespace(id=42, price_per_second_usd=1.5))
update_usage = AsyncMock()
monkeypatch.setattr(
workflow_run_cost_mod.db_client, "get_organization_by_id", get_org
)
monkeypatch.setattr(
workflow_run_cost_mod.db_client, "update_usage_after_run", update_usage
)
first_delta = await apply_usage_delta_to_organization(workflow_run, usage_delta_one)
second_delta = await apply_usage_delta_to_organization(
workflow_run, usage_delta_two
)
total_workflow_run = SimpleNamespace(**workflow_run.__dict__)
total_workflow_run.usage_info = merged_usage
total_cost = await build_workflow_run_cost_info(total_workflow_run)
assert first_delta is not None
assert second_delta is not None
assert total_cost is not None
assert update_usage.await_count == 2
assert update_usage.await_args_list[0].args == (
42,
first_delta["dograh_token_usage"],
3.0,
first_delta["charge_usd"],
)
assert update_usage.await_args_list[1].args == (
42,
second_delta["dograh_token_usage"],
4.0,
second_delta["charge_usd"],
)
assert (
first_delta["dograh_token_usage"] + second_delta["dograh_token_usage"]
) == pytest.approx(total_cost["dograh_token_usage"])
assert (
first_delta["charge_usd"] + second_delta["charge_usd"]
== total_cost["charge_usd"]
)