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synced 2025-12-15 22:06:52 +08:00
chore: skip unnecessary key checks prior to accessing a dictionary (#4497)
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@@ -70,7 +70,7 @@ class StableDiffusionTool(BuiltinTool):
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if not base_url:
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return self.create_text_message('Please input base_url')
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if 'model' in tool_parameters and tool_parameters['model']:
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if tool_parameters.get('model'):
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self.runtime.credentials['model'] = tool_parameters['model']
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model = self.runtime.credentials.get('model', None)
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@@ -48,7 +48,7 @@ class WolframAlphaTool(BuiltinTool):
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if 'success' not in response_data['queryresult'] or response_data['queryresult']['success'] != True:
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query_result = response_data.get('queryresult', {})
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if 'error' in query_result and query_result['error']:
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if query_result.get('error'):
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if 'msg' in query_result['error']:
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if query_result['error']['msg'] == 'Invalid appid':
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raise ToolProviderCredentialValidationError('Invalid appid')
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@@ -79,7 +79,7 @@ class DatasetMultiRetrieverTool(DatasetRetrieverBaseTool):
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document_score_list = {}
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for item in all_documents:
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if 'score' in item.metadata and item.metadata['score']:
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if item.metadata.get('score'):
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document_score_list[item.metadata['doc_id']] = item.metadata['score']
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document_context_list = []
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@@ -87,7 +87,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool):
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document_score_list = {}
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if dataset.indexing_technique != "economy":
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for item in documents:
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if 'score' in item.metadata and item.metadata['score']:
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if item.metadata.get('score'):
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document_score_list[item.metadata['doc_id']] = item.metadata['score']
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document_context_list = []
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index_node_ids = [document.metadata['doc_id'] for document in documents]
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@@ -132,17 +132,17 @@ def extract_using_readabilipy(html):
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}
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# Populate article fields from readability fields where present
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if input_json:
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if "title" in input_json and input_json["title"]:
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if input_json.get("title"):
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article_json["title"] = input_json["title"]
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if "byline" in input_json and input_json["byline"]:
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if input_json.get("byline"):
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article_json["byline"] = input_json["byline"]
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if "date" in input_json and input_json["date"]:
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if input_json.get("date"):
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article_json["date"] = input_json["date"]
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if "content" in input_json and input_json["content"]:
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if input_json.get("content"):
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article_json["content"] = input_json["content"]
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article_json["plain_content"] = plain_content(article_json["content"], False, False)
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article_json["plain_text"] = extract_text_blocks_as_plain_text(article_json["plain_content"])
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if "textContent" in input_json and input_json["textContent"]:
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if input_json.get("textContent"):
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article_json["plain_text"] = input_json["textContent"]
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article_json["plain_text"] = re.sub(r'\n\s*\n', '\n', article_json["plain_text"])
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