jyapayne/langflow
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style: remove comments

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This commit is contained in:
Gabriel Almeida 2023-03-26 21:07:20 -03:00
commit 228c04280d
1 changed files with 6 additions and 7 deletions
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13
src/backend/langflow/utils/graph.py
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@ -14,9 +14,6 @@ class Node:
def _parse_data(self) -> None:
self.data = self._data["data"]
# Data dict:
# {'type': 'LLMChain', 'node': {'template': {'_type': 'llm_chain', 'memory': {'type': 'BaseMemory', 'required': False, 'placeholder': '', 'list': False, 'show': True, 'password': False, 'multiline': False, 'value': None}, 'verbose': {'type': 'bool', 'required': False, 'placeholder': '', 'list': False, 'show': False, 'password': False, 'multiline': False, 'value': False}, 'prompt': {'type': 'BasePromptTemplate', 'required': True, 'placeholder': '', 'list': False, 'show': True, 'password': False, 'multiline': False}, 'llm': {'type': 'BaseLanguageModel', 'required': True, 'placeholder': '', 'list': False, 'show': True, 'password': False, 'multiline': False}, 'output_key': {'type': 'str', 'required': False, 'placeholder': '', 'list': False, 'show': False, 'password': True, 'multiline': False, 'value': 'text'}}, 'description': 'Chain to run queries against LLMs.', 'base_classes': ['Chain']}, 'id': 'dndnode_1', 'value': None}
# base_classes are the classes that the node can be cast to
self.output = self.data["node"]["base_classes"]
template_dicts = {
key: value
@ -80,8 +77,9 @@ class Node:
# so we need to append to a list if it exists
# or create a new list if it doesn't
if edge is None and value["required"]:
# break line
raise ValueError(
f"Required input {key} for module {self.node_type} is not connected"
f"Required input {key} for module {self.node_type} not found"
)
if value["list"]:
if key in params:
@ -159,11 +157,12 @@ class Edge:
self.validate_edge()
def validate_edge(self) -> None:
# Validate that the outputs of the source node are valid inputs for the target node
# Validate that the outputs of the source node are valid inputs
# for the target node
self.source_types = self.source.output
self.target_reqs = self.target.required_inputs + self.target.optional_inputs
# Both lists contain strings and sometimes a string contains the value we are looking for
# e.g. comgin_out=["Chain"] and target_reqs=["LLMChain"]
# Both lists contain strings and sometimes a string contains the value we are
# looking for e.g. comgin_out=["Chain"] and target_reqs=["LLMChain"]
# so we need to check if any of the strings in source_types is in target_reqs
self.valid = any(
output in target_req