Rename embedchain to mem0 and open sourcing code for long term memory (#1474)

Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>

embedchain/tests/loaders/test_local_qna_pair.py

@@ -0,0 +1,32 @@
+import hashlib
+
+import pytest
+
+from embedchain.loaders.local_qna_pair import LocalQnaPairLoader
+
+
+@pytest.fixture
+def qna_pair_loader():
+    return LocalQnaPairLoader()
+
+
+def test_load_data(qna_pair_loader):
+    question = "What is the capital of France?"
+    answer = "The capital of France is Paris."
+
+    content = (question, answer)
+    result = qna_pair_loader.load_data(content)
+
+    assert "doc_id" in result
+    assert "data" in result
+    url = "local"
+
+    expected_content = f"Q: {question}\nA: {answer}"
+    assert result["data"][0]["content"] == expected_content
+
+    assert result["data"][0]["meta_data"]["url"] == url
+
+    assert result["data"][0]["meta_data"]["question"] == question
+
+    expected_doc_id = hashlib.sha256((expected_content + url).encode()).hexdigest()
+    assert result["doc_id"] == expected_doc_id