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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
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Your task is to ONLY extract the metadatas that exist in the input text from the provided metadata list and Use the following operators [ " contains " , " not contains " , " start with " , " end with " , " is " , " is not " , " empty " , " not empty " , " = " , " ≠ " , " > " , " < " , " ≥ " , " ≤ " , " before " , " after " ] 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 " .
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### 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’ " ,
" 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 .
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### Constraint
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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’ " ] , " 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 " : " > " } } ] } }
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< / example >
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### User Input
{ { " input_text " : " {input_text} " , " metadata_fields " : { metadata_fields } } }
### Assistant Output
""" # noqa: E501
