mirror of
https://github.com/langgenius/dify.git
synced 2025-10-31 19:03:09 +00:00
67 lines
3.4 KiB
Python
67 lines
3.4 KiB
Python
METADATA_FILTER_SYSTEM_PROMPT = """
|
||
### Job Description',
|
||
You are a text metadata extract engine that extract text's metadata based on user input and set the metadata value
|
||
### Task
|
||
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
|
||
DO NOT include anything other than the JSON array in your response.
|
||
""" # noqa: E501
|
||
|
||
METADATA_FILTER_USER_PROMPT_1 = """
|
||
{ "input_text": "I want to know which company’s email address test@example.com is?",
|
||
"metadata_fields": ["filename", "email", "phone", "address"]
|
||
}
|
||
"""
|
||
|
||
METADATA_FILTER_ASSISTANT_PROMPT_1 = """
|
||
```json
|
||
{"metadata_map": [
|
||
{"metadata_field_name": "email", "metadata_field_value": "test@example.com", "comparison_operator": "="}
|
||
]
|
||
}
|
||
```
|
||
"""
|
||
|
||
METADATA_FILTER_USER_PROMPT_2 = """
|
||
{"input_text": "What are the movies with a score of more than 9 in 2024?",
|
||
"metadata_fields": ["name", "year", "rating", "country"]}
|
||
"""
|
||
|
||
METADATA_FILTER_ASSISTANT_PROMPT_2 = """
|
||
```json
|
||
{"metadata_map": [
|
||
{"metadata_field_name": "year", "metadata_field_value": "2024", "comparison_operator": "="},
|
||
{"metadata_field_name": "rating", "metadata_field_value": "9", "comparison_operator": ">"},
|
||
]}
|
||
```
|
||
"""
|
||
|
||
METADATA_FILTER_USER_PROMPT_3 = """
|
||
'{{"input_text": "{input_text}",',
|
||
'"metadata_fields": {metadata_fields}}}'
|
||
"""
|
||
|
||
METADATA_FILTER_COMPLETION_PROMPT = """
|
||
### Job Description
|
||
You are a text metadata extract engine that extract text's metadata based on user input and set the metadata value
|
||
### Task
|
||
# 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
|
||
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.
|
||
<example>
|
||
User:{{"input_text": ["I want to know which company’s email address test@example.com is?"], "metadata_fields": ["filename", "email", "phone", "address"]}}
|
||
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>
|
||
### User Input
|
||
{{"input_text" : "{input_text}", "metadata_fields" : {metadata_fields}}}
|
||
### Assistant Output
|
||
""" # noqa: E501
|