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"""JSON Reader."""
import json
import re
from typing import Dict, Generator, List, Optional
from gpt_index.readers.base import BaseReader
from gpt_index.readers.schema.base import Document
def _depth_first_yield(
json_data: Dict, levels_back: int, path: List[str]
) -> Generator[str, None, None]:
"""Do depth first yield of all of the leaf nodes of a JSON.
Combines keys in the JSON tree using spaces.
If levels_back is set to 0, prints all levels.
"""
if isinstance(json_data, dict):
for key, value in json_data.items():
new_path = path[:]
new_path.append(key)
yield from _depth_first_yield(value, levels_back, new_path)
elif isinstance(json_data, list):
for _, value in enumerate(json_data):
yield from _depth_first_yield(value, levels_back, path)
else:
new_path = path[-levels_back:]
new_path.append(str(json_data))
yield " ".join(new_path)
class JSONReader(BaseReader):
"""JSON reader.
Reads JSON documents with options to help suss out relationships between nodes.
Args:
levels_back (int): the number of levels to go back in the JSON tree, 0
if you want all levels. If levels_back is None, then we just format the
JSON and make each line an embedding
"""
def __init__(self, levels_back: Optional[int] = None) -> None:
"""Initialize with arguments."""
super().__init__()
self.levels_back = levels_back
def load_data(self, input_file: str) -> List[Document]:
"""Load data from the input file."""
with open(input_file, "r") as f:
data = json.load(f)
if self.levels_back is None:
# If levels_back isn't set, we just format and make each
# line an embedding
json_output = json.dumps(data, indent=0)
lines = json_output.split("\n")
useful_lines = [
line for line in lines if not re.match(r"^[{}\[\],]*$", line)
]
return [Document("\n".join(useful_lines))]
elif self.levels_back is not None:
# If levels_back is set, we make the embeddings contain the labels
# from further up the JSON tree
lines = [*_depth_first_yield(data, self.levels_back, [])]
return [Document("\n".join(lines))]
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