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Enhance Code Consistency Across Repository with .editorconfig (#19023)

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QuantumGhost
2025-04-29 18:04:33 +08:00
committed by GitHub
parent 226afd4550
commit bd1bbfee4b
274 changed files with 1271 additions and 1217 deletions
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4
api/core/workflow/nodes/knowledge_retrieval/template_prompts.py
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@@ -50,7 +50,7 @@ You are a text metadata extract engine that extract text's metadata based on use
# Your task is to ONLY extract the metadatas that exist in the input text from the provided metadata list and Use the following operators ["=", "!=", ">", "<", ">=", "<="] to express logical relationships, then return result in JSON format with the key "metadata_fields" and value "metadata_field_value" and comparison operator "comparison_operator".
### Format
The input text is in the variable input_text. Metadata are specified as a list in the variable metadata_fields.
### Constraint
### Constraint
DO NOT include anything other than the JSON array in your response.
### Example
Here is the chat example between human and assistant, inside <example></example> XML tags.
@@ -59,7 +59,7 @@ User:{{"input_text": ["I want to know which company’s email address test@examp
Assistant:{{"metadata_map": [{{"metadata_field_name": "email", "metadata_field_value": "test@example.com", "comparison_operator": "="}}]}}
User:{{"input_text": "What are the movies with a score of more than 9 in 2024?", "metadata_fields": ["name", "year", "rating", "country"]}}
Assistant:{{"metadata_map": [{{"metadata_field_name": "year", "metadata_field_value": "2024", "comparison_operator": "="}, {{"metadata_field_name": "rating", "metadata_field_value": "9", "comparison_operator": ">"}}]}}
</example>
</example>
### User Input
{{"input_text" : "{input_text}", "metadata_fields" : {metadata_fields}}}
### Assistant Output

14
api/core/workflow/nodes/parameter_extractor/prompts.py
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@@ -17,7 +17,7 @@ Some additional information is provided below. Always adhere to these instructio
</instruction>
Steps:
1. Review the chat history provided within the <histories> tags.
2. Extract the relevant information based on the criteria given, output multiple values if there is multiple relevant information that match the criteria in the given text.
2. Extract the relevant information based on the criteria given, output multiple values if there is multiple relevant information that match the criteria in the given text.
3. Generate a well-formatted output using the defined functions and arguments.
4. Use the `extract_parameter` function to create structured outputs with appropriate parameters.
5. Do not include any XML tags in your output.
@@ -89,13 +89,13 @@ Some extra information are provided below, I should always follow the instructio
</instructions>
### Extract parameter Workflow
I need to extract the following information from the input text. The <information to be extracted> tag specifies the 'type', 'description' and 'required' of the information to be extracted.
I need to extract the following information from the input text. The <information to be extracted> tag specifies the 'type', 'description' and 'required' of the information to be extracted.
<information to be extracted>
{{ structure }}
</information to be extracted>
Step 1: Carefully read the input and understand the structure of the expected output.
Step 2: Extract relevant parameters from the provided text based on the name and description of object.
Step 2: Extract relevant parameters from the provided text based on the name and description of object.
Step 3: Structure the extracted parameters to JSON object as specified in <structure>.
Step 4: Ensure that the JSON object is properly formatted and valid. The output should not contain any XML tags. Only the JSON object should be outputted.
@@ -106,10 +106,10 @@ Here are the chat histories between human and assistant, inside <histories></his
</histories>
### Structure
Here is the structure of the expected output, I should always follow the output structure.
Here is the structure of the expected output, I should always follow the output structure.
{{γγγ
'properties1': 'relevant text extracted from input',
'properties2': 'relevant text extracted from input',
'properties1': 'relevant text extracted from input',
'properties2': 'relevant text extracted from input',
}}γγγ
### Input Text
@@ -119,7 +119,7 @@ Inside <text></text> XML tags, there is a text that I should extract parameters
</text>
### Answer
I should always output a valid JSON object. Output nothing other than the JSON object.
I should always output a valid JSON object. Output nothing other than the JSON object.
```JSON
""" # noqa: E501

4
api/core/workflow/nodes/question_classifier/template_prompts.py
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@@ -55,7 +55,7 @@ You are a text classification engine that analyzes text data and assigns categor
Your task is to assign one categories ONLY to the input text and only one category may be assigned returned in the output. Additionally, you need to extract the key words from the text that are related to the classification.
### Format
The input text is in the variable input_text. Categories are specified as a category list with two filed category_id and category_name in the variable categories. Classification instructions may be included to improve the classification accuracy.
### Constraint
### Constraint
DO NOT include anything other than the JSON array in your response.
### Example
Here is the chat example between human and assistant, inside <example></example> XML tags.
@@ -64,7 +64,7 @@ User:{{"input_text": ["I recently had a great experience with your company. The
Assistant:{{"keywords": ["recently", "great experience", "company", "service", "prompt", "staff", "friendly"],"category_id": "f5660049-284f-41a7-b301-fd24176a711c","category_name": "Customer Service"}}
User:{{"input_text": ["bad service, slow to bring the food"], "categories": [{{"category_id":"80fb86a0-4454-4bf5-924c-f253fdd83c02","category_name":"Food Quality"}},{{"category_id":"f6ff5bc3-aca0-4e4a-8627-e760d0aca78f","category_name":"Experience"}},{{"category_id":"cc771f63-74e7-4c61-882e-3eda9d8ba5d7","category_name":"Price"}}], "classification_instructions": []}}
Assistant:{{"keywords": ["bad service", "slow", "food", "tip", "terrible", "waitresses"],"category_id": "f6ff5bc3-aca0-4e4a-8627-e760d0aca78f","category_name": "Experience"}}
</example>
</example>
### Memory
Here are the chat histories between human and assistant, inside <histories></histories> XML tags.
<histories>