[Question]: How to serialize and deserialize QueryResponse object ?

[projects-g]

Question Validation

• [X] I have searched both the documentation and discord for an answer.

Question

I am executing the llama index workflow in a remote machine and I need to send back all the parameters of the response like text, node info, metadata, etc. I want to serialize before sending and load it back into an object to retain/work with all the info from the response. But I cant seem to do it currently.

Is there a clean way to do this ?

[dosubot[bot]]

🤖

Hi there,

To help you better with your request, could you please provide some additional information? Specifically, it would be helpful to know:

1. What programming language are you using?
2. What serialization format are you interested in? (e.g., JSON, XML, etc.)
3. Could you share a snippet of your current code where you're trying to serialize and deserialize the QueryResponse object?

This information will help me understand your situation better and provide a more accurate solution. Thanks!

---

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

[projects-g]

@dosu-bot

1) Python 2) JSON 3) I don't have any method currently.

[dosubot[bot]]

🤖

Hello,

To serialize and deserialize a QueryResponse object in Python, you can use the built-in json module. Here's a basic example of how you can do this:

import json

# Serialize
response_str = json.dumps(query_response.__dict__)

# Deserialize
response_obj = QueryResponse(**json.loads(response_str))

In this example, query_response is an instance of the QueryResponse object. The __dict__ method is used to convert the object into a dictionary, which can then be serialized into a JSON string using json.dumps(). To deserialize the JSON string back into a QueryResponse object, json.loads() is used to convert the string back into a dictionary, which is then unpacked into the QueryResponse constructor.

However, this will only work if all the attributes of the QueryResponse object are JSON serializable. If the QueryResponse object contains complex Python objects (like instances of custom classes), you'll need to implement custom serialization and deserialization methods for those objects.

In the LlamaIndex codebase, the QueryResponse object (which could be a Response, PydanticResponse, or StreamingResponse object) has the following structure:

• response: The response text (Optional[str] for Response and StreamingResponse, Optional[BaseModel] for PydanticResponse).
• source_nodes: A list of source nodes (List[NodeWithScore]).
• metadata: Any additional metadata (Optional[Dict[str, Any]]).

For StreamingResponse, there's also:

• response_gen: The response generator (TokenGen).
• response_txt: The response text (Optional[str]).

If you want to include these fields in the serialization and deserialization process, you would need to modify the code to include these fields when creating the JSON string and when recreating the Python object.

You can find more information about the structure of the QueryResponse object in the llama_index/response/schema.py file in the LlamaIndex codebase.

I hope this helps! Let me know if you have any other questions.

Sources

• llama_index/indices/struct_store/json_query.py
• llama_index/response/schema.py

---

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.