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- import hashlib
- import json
- import os
- from embedchain.loaders.base_loader import BaseLoader
- class JSONLoader(BaseLoader):
- @staticmethod
- def load_data(content):
- """Load a json file. Each data point is a key value pair."""
- try:
- from llama_hub.jsondata.base import \
- JSONDataReader as LLHBUBJSONLoader
- except ImportError:
- raise Exception(
- f"Couldn't import the required packages to load {content}, \
- Do `pip install --upgrade 'embedchain[json]`"
- )
- loader = LLHBUBJSONLoader()
- if not isinstance(content, str) and not os.path.isfile(content):
- print(f"Invaid content input. Provide the correct path to the json file saved locally in {content}")
- data = []
- data_content = []
- with open(content, "r") as json_file:
- json_data = json.load(json_file)
- docs = loader.load_data(json_data)
- for doc in docs:
- doc_content = doc.text
- data.append({"content": doc_content, "meta_data": {"url": content}})
- data_content.append(doc_content)
- doc_id = hashlib.sha256((content + ", ".join(data_content)).encode()).hexdigest()
- return {"doc_id": doc_id, "data": data}
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