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 XML tags.
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": ">"}}]}}
### User Input
{{"input_text" : "{input_text}", "metadata_fields" : {metadata_fields}}}
### Assistant Output
""" # noqa: E501