bugfix: fix api request custom component (#2470)

* bugfix: fix api request custom component

* [autofix.ci] apply automated fixes

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
This commit is contained in:
Cristhian Zanforlin Lousa 2024-07-04 09:05:22 -03:00 • committed by GitHub
commit 8980e75723
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10 changed files with 22 additions and 14 deletions

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@ -10,4 +10,4 @@ jobs:
name: Auto-update
runs-on: ubuntu-latest
steps:
- uses: tibdex/auto-update@v2
- uses: tibdex/auto-update@v2

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@ -12,7 +12,6 @@ on:
env:
NODE_VERSION: "21"
jobs:
test-docs-build:
name: Test Docs Build

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@ -43,4 +43,4 @@ jobs:
cd src/frontend
npm run format
- uses: autofix-ci/action@dd55f44df8f7cdb7a6bf74c78677eb8acd40cd0a
- uses: autofix-ci/action@dd55f44df8f7cdb7a6bf74c78677eb8acd40cd0a

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@ -51,5 +51,3 @@ jobs:
run: |
cd src/frontend
npm run check-format

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@ -26,4 +26,4 @@ jobs:
- run: ruff check --fix-only .
- run: ruff format .
- uses: autofix-ci/action@dd55f44df8f7cdb7a6bf74c78677eb8acd40cd0a
- uses: autofix-ci/action@dd55f44df8f7cdb7a6bf74c78677eb8acd40cd0a

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@ -33,6 +33,3 @@ jobs:
run: echo "::add-matcher::.github/workflows/matchers/ruff.json"
- name: Run Ruff Check
run: poetry run ruff check --output-format=github .

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@ -92,9 +92,11 @@ results = run_flow_from_json("path/to/flow.json", input_value="Hello, World!")
# Deploy
## DataStax Langflow
DataStax Langflow is a hosted version of Langflow integrated with [AstraDB](https://www.datastax.com/products/datastax-astra). Be up and running in minutes with no installation or setup required. [Sign up for free](https://langflow.datastax.com).
## Deploy Langflow on Hugging Face Spaces
You can also preview Langflow in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview). [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) to create your own Langflow workspace in minutes.
## Deploy Langflow on Google Cloud Platform
@ -121,7 +123,6 @@ Use this template to deploy Langflow 1.0 on Railway:
Follow our step-by-step guide to deploy [Langflow on Kubernetes](https://github.com/langflow-ai/langflow/blob/dev/docs/docs/deployment/kubernetes.md).
# 🖥️ Command Line Interface (CLI)
Langflow provides a command-line interface (CLI) for easy management and configuration.

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@ -112,10 +112,18 @@ class APIRequestComponent(Component):
if method not in ["GET", "POST", "PATCH", "PUT", "DELETE"]:
raise ValueError(f"Unsupported method: {method}")
if isinstance(body, str) and body:
try:
body = json.loads(body)
except Exception as e:
logger.error(f"Error decoding JSON data: {e}")
body = None
raise ValueError(f"Error decoding JSON data: {e}")
data = body if body else None
payload = json.dumps(data) if data else None
try:
response = await client.request(method, url, headers=headers, content=payload, timeout=timeout)
response = await client.request(method, url, headers=headers, json=data, timeout=timeout)
try:
result = response.json()
except Exception:

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@ -280,7 +280,12 @@ class Vertex:
# we don't know the key of the dict but we need to set the value
# to the vertex that is the source of the edge
param_dict = template_dict[param_key]["value"]
params[param_key] = {key: self.graph.get_vertex(edge.source_id) for key in param_dict.keys()}
if param_dict:
params[param_key] = {
key: self.graph.get_vertex(edge.source_id) for key in param_dict.keys()
}
else:
params[param_key] = self.graph.get_vertex(edge.source_id)
else:
params[param_key] = self.graph.get_vertex(edge.source_id)

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@ -253,7 +253,7 @@ class NestedDictInput(BaseInputMixin, ListableInputMixin, MetadataTraceMixin, In
"""
field_type: Optional[SerializableFieldTypes] = FieldTypes.NESTED_DICT
value: Optional[dict] = {}
value: Optional[dict | Data] = {}
class DictInput(BaseInputMixin, ListableInputMixin, InputTraceMixin):