langflow/tests/test_webhook.py
Gabriel Luiz Freitas Almeida 03329b232e
fix: make webhook api call honor webhook component as input (#2511)
* refactor(base.py): refactor logic to find start_component_id based on multiple keywords for improved flexibility and readability

* feat(schema.py): add WebhookInput component type to INPUT_COMPONENTS list for handling webhook inputs in the graph schema

* refactor(base.py): refactor logic to determine start_component_id based on webhook or chat component presence in input vertices

* refactor: prioritize webhook component for determining start_component_id

* feat(utils.py): add function find_start_component_id to find component ID based on priority list of input types

* refactor(graph/base.py): refactor logic to find start component id in Graph class for better readability and maintainability

* test(test_webhook.py): override pytest fixture to check for OpenAI API key in environment variables before running tests

* test(test_webhook.py): update webhook json

* feat(schema.py): update WebhookInput component type name

* refactor: log package run telemetry in simplified_run_flow

* test: add test for webhook flow on run endpoint

* refactor(graph/base.py): skip unbuilt vertices when getting vertex outputs in Graph class

* refactor: simplify data_input assignment in LCTextSplitterComponent

* refactor: remove unused build method in CharacterTextSplitterComponent

* refactor: update imports in CharacterTextSplitter.py
2024-07-04 11:11:55 -07:00

59 lines
2 KiB
Python

import tempfile
from pathlib import Path
import pytest
@pytest.fixture(autouse=True)
def check_openai_api_key_in_environment_variables():
pass
def test_webhook_endpoint(client, added_webhook_test):
# The test is as follows:
# 1. The flow when run will get a "path" from the payload and save a file with the path as the name.
# We will create a temporary file path and send it to the webhook endpoint, then check if the file exists.
# 2. we will delete the file, then send an invalid payload to the webhook endpoint and check if the file exists.
endpoint_name = added_webhook_test["endpoint_name"]
endpoint = f"api/v1/webhook/{endpoint_name}"
# Create a temporary file
with tempfile.TemporaryDirectory() as tmp:
file_path = Path(tmp) / "test_file.txt"
payload = {"path": str(file_path)}
response = client.post(endpoint, json=payload)
assert response.status_code == 202
assert file_path.exists()
assert not file_path.exists()
# Send an invalid payload
payload = {"invalid_key": "invalid_value"}
response = client.post(endpoint, json=payload)
assert response.status_code == 202
assert not file_path.exists()
def test_webhook_flow_on_run_endpoint(client, added_webhook_test, created_api_key):
endpoint_name = added_webhook_test["endpoint_name"]
endpoint = f"api/v1/run/{endpoint_name}?stream=false"
# Just test that "Random Payload" returns 202
# returns 202
payload = {
"output_type": "any",
}
response = client.post(endpoint, headers={"x-api-key": created_api_key.api_key}, json=payload)
assert response.status_code == 200, response.json()
def test_webhook_with_random_payload(client, added_webhook_test):
endpoint_name = added_webhook_test["endpoint_name"]
endpoint = f"api/v1/webhook/{endpoint_name}"
# Just test that "Random Payload" returns 202
# returns 202
response = client.post(
endpoint,
json="Random Payload",
)
assert response.status_code == 202