Embedchain json loader update (#876)

Co-authored-by: Deven Patel <deven298@yahoo.com>
This commit is contained in:
Deven Patel
2023-10-30 15:30:49 -07:00
committed by GitHub
parent 30228f7f8e
commit 68dc274f72
4 changed files with 53 additions and 36 deletions

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@@ -1,4 +1,5 @@
from importlib import import_module
from embedchain.chunkers.base_chunker import BaseChunker
from embedchain.config import AddConfig
from embedchain.config.add_config import ChunkerConfig, LoaderConfig

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@@ -1,24 +1,37 @@
import hashlib
from langchain.document_loaders.json_loader import \
JSONLoader as LangchainJSONLoader
import json
import os
from embedchain.loaders.base_loader import BaseLoader
langchain_json_jq_schema = 'to_entries | map("\(.key): \(.value|tostring)") | .[]'
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 = []
loader = LangchainJSONLoader(content, text_content=False, jq_schema=langchain_json_jq_schema)
docs = loader.load()
for doc in docs:
meta_data = doc.metadata
data.append({"content": doc.page_content, "meta_data": {"url": content, "row": meta_data["seq_num"]}})
data_content.append(doc.page_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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@@ -1,32 +1,34 @@
import hashlib
from unittest.mock import patch
from langchain.docstore.document import Document
from langchain.document_loaders.json_loader import \
JSONLoader as LangchainJSONLoader
from embedchain.loaders.json import JSONLoader
def test_load_data():
mock_document = [
Document(page_content="content1", metadata={"seq_num": 1}),
Document(page_content="content2", metadata={"seq_num": 2}),
def test_load_data(mocker):
content = "temp.json"
mock_document = {
"doc_id": hashlib.sha256((content + ", ".join(["content1", "content2"])).encode()).hexdigest(),
"data": [
{"content": "content1", "meta_data": {"url": content}},
{"content": "content2", "meta_data": {"url": content}},
],
}
mocker.patch("embedchain.loaders.json.JSONLoader.load_data", return_value=mock_document)
json_loader = JSONLoader()
result = json_loader.load_data(content)
assert "doc_id" in result
assert "data" in result
expected_data = [
{"content": "content1", "meta_data": {"url": content}},
{"content": "content2", "meta_data": {"url": content}},
]
with patch.object(LangchainJSONLoader, "load", return_value=mock_document):
content = "temp.json"
result = JSONLoader.load_data(content)
assert result["data"] == expected_data
assert "doc_id" in result
assert "data" in result
expected_data = [
{"content": "content1", "meta_data": {"url": content, "row": 1}},
{"content": "content2", "meta_data": {"url": content, "row": 2}},
]
assert result["data"] == expected_data
expected_doc_id = hashlib.sha256((content + ", ".join(["content1", "content2"])).encode()).hexdigest()
assert result["doc_id"] == expected_doc_id
expected_doc_id = hashlib.sha256((content + ", ".join(["content1", "content2"])).encode()).hexdigest()
assert result["doc_id"] == expected_doc_id

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@@ -1,5 +1,6 @@
import os
import logging
import os
from embedchain.telemetry.posthog import AnonymousTelemetry