Closed timtensor closed 3 months ago
🤖
Hallo @timtensor, schön, dich wiederzusehen! Wie kann ich dir heute helfen?
Based on the information you've provided, it seems like the issue might be related to how the JSON file is being parsed and traversed. In LlamaIndex, the JSONReader
class is responsible for reading JSON documents and the _depth_first_yield
function performs a depth-first traversal of the JSON data.
If the JSON file is not structured properly, the retriever might not be able to recognize multiple titles. You might need to check the structure of your JSON file.
Here is the relevant code for JSON file parsing and traversal in LlamaIndex:
def _depth_first_yield(
json_data: Any,
levels_back: int,
collapse_length: Optional[int],
path: List[str],
ensure_ascii: bool = False,
) -> Generator[str, None, None]:
"""Do depth first yield of all of the leaf nodes of a JSON."""
# ...
class JSONReader(BaseReader):
"""JSON reader."""
def __init__(
self,
levels_back: Optional[int] = None,
collapse_length: Optional[int] = None,
ensure_ascii: bool = False,
is_jsonl: Optional[bool] = False,
) -> None:
"""Initialize with arguments."""
# ...
def load_data(self, input_file: str) -> List[Document]:
"""Load data from the input file."""
# ...
You can find this code in the llama-index-core/llama_index/core/readers/json.py file.
If the issue persists, could you please provide more details about the structure of your JSON file and the specific retriever you're using? This will help in identifying the root cause of the issue.
@dosu-bot the json structure is correct . What can be changed to get. Right retriever
🤖
Based on your description, it seems like you're having trouble getting the LlamaIndex retriever to correctly recognize and count all post titles in your JSON file. This could be due to how the JSON file is being parsed and traversed.
To correctly configure the LlamaIndex retriever, you can use the JSONalyzeQueryEngine
class provided in the LlamaIndex framework. This class allows you to perform analytical queries on a list of dictionaries (which can be derived from a JSON file) using SQL queries.
Here's a basic example of how you can use this class to count all post titles in a JSON file:
from llama_index.core.query_engine.jsonalyze_query_engine import JSONalyzeQueryEngine
from llama_index.core.schema import QueryBundle
# Assuming `json_data` is your loaded JSON data
list_of_dict = json_data # Replace this with your actual data
# Initialize the JSONalyzeQueryEngine
engine = JSONalyzeQueryEngine(list_of_dict)
# Create a QueryBundle with your query
query_bundle = QueryBundle(query_str="SELECT COUNT(title) FROM items")
# Use the engine to perform the query
response = engine.query(query_bundle)
# The response will contain the count of all post titles
print(response.response)
In this example, "SELECT COUNT(title) FROM items"
is the SQL query that counts all post titles. You should replace "title"
with the actual key in your JSON data that represents post titles. Also, replace "items"
with the actual table name if it's different.
Please note that this is a simplified example. Depending on your actual use case, you might need to adjust the code, for example, by providing a custom LLM, setting use_async
to True
, or providing a custom SQL parser.
You can find more information about the JSONalyzeQueryEngine
class in the LlamaIndex repository.
As for how the JSONalyzeQueryEngine
class parses and traverses the JSON data, it does so by converting it into an in-memory SQLite database and then executing SQL queries on it. This is done in the default_jsonalyzer
and async_default_jsonalyzer
functions. You can find more details about this process in the LlamaIndex legacy repository.
I hope this helps! If you have any further questions or need more clarification, feel free to ask.
@dosubot i am a bit clueless because the json file looks good from my perspective
🤖
Based on your description, it seems like the LlamaIndex retriever is not correctly recognizing all the post titles in your JSON file. This could be due to a variety of reasons, such as incorrect JSON formatting or issues with the retriever configuration. Here's a step-by-step guide on how to correctly configure the LlamaIndex retriever to recognize and count all post titles in your JSON file:
[
{"title": "Post 1", "content": "Content 1"},
{"title": "Post 2", "content": "Content 2"},
...
]
import json
with open('your_file.json', 'r') as f:
list_of_dict = json.load(f)
JSONalyzeQueryEngine
with your list of dictionaries:query_engine = JSONalyzeQueryEngine(list_of_dict)
JSONalyzeQueryEngine
will convert this natural language query into an SQL query and execute it on the in-memory SQLite database:query_bundle = QueryBundle(query_str="How many posts are there?")
response = query_engine.query(query_bundle)
The response
object will contain the count of all post titles in your JSON file.
Please note that the actual query string may vary depending on the structure of your JSON file and the specific information you want to retrieve. You can find more information about this in the JSONalyzeQueryEngine documentation.
Regarding your question about how the LlamaIndex retriever parses and traverses JSON files, it uses a depth-first search approach. This is implemented in the _depth_first_yield
function in the JSONReader
class. You can find more details about this in the JSONReader documentation.
If you're still encountering issues after following these steps, please provide more details about your JSON file structure and the specific query you're using. This will help me provide a more accurate solution.
@dosubot The above function does not work as I am not using Open AI but rather mistral 7b instruct
Bug Description
Hi, I am trying to perform user query over a json string. For test purposes , I have extracted a smaller json. The json is basically divided into
Version
0.10.12
Steps to Reproduce
The following code should be executed
Relevant Logs/Tracbacks