* Export pipeline to config * Export the input to config * Preliminary creating UI dynamically * Add test for config export * Try out prompt UI * Add example projects * Fix test errors * Standardize interface for retrieval * Finalize the UI demo * Update README.md * Update README * Refactor according to main * Fix typing issue * Add openai key to git-secret * Add prompt template and prompt component * Update test * update tests * revert docstring --------- Co-authored-by: trducng <trungduc1992@gmail.com> Co-authored-by: Nguyen Trung Duc (john) <john@cinnamon.is>
102 lines
3.9 KiB
Python
102 lines
3.9 KiB
Python
import json
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from kotaemon.documents.base import Document
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from kotaemon.vectorstores import ChromaVectorStore, InMemoryVectorStore
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class TestChromaVectorStore:
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def test_add(self, tmp_path):
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"""Test that the DB add correctly"""
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db = ChromaVectorStore(path=str(tmp_path))
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embeddings = [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]]
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metadatas = [{"a": 1, "b": 2}, {"a": 3, "b": 4}]
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ids = ["1", "2"]
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assert db._collection.count() == 0, "Expected empty collection"
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output = db.add(embeddings=embeddings, metadatas=metadatas, ids=ids)
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assert output == ids, "Expected output to be the same as ids"
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assert db._collection.count() == 2, "Expected 2 added entries"
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def test_add_from_docs(self, tmp_path):
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db = ChromaVectorStore(path=str(tmp_path))
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embeddings = [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]]
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metadatas = [{"a": 1, "b": 2}, {"a": 3, "b": 4}]
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documents = [
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Document(embedding=embedding, metadata=metadata)
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for embedding, metadata in zip(embeddings, metadatas)
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]
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assert db._collection.count() == 0, "Expected empty collection"
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output = db.add_from_docs(documents)
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assert len(output) == 2, "Expected outputing 2 ids"
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assert db._collection.count() == 2, "Expected 2 added entries"
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def test_delete(self, tmp_path):
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db = ChromaVectorStore(path=str(tmp_path))
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embeddings = [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6], [0.7, 0.8, 0.9]]
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metadatas = [{"a": 1, "b": 2}, {"a": 3, "b": 4}, {"a": 5, "b": 6}]
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ids = ["a", "b", "c"]
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db.add(embeddings=embeddings, metadatas=metadatas, ids=ids)
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assert db._collection.count() == 3, "Expected 3 added entries"
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db.delete(ids=["a", "b"])
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assert db._collection.count() == 1, "Expected 1 remaining entry"
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db.delete(ids=["c"])
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assert db._collection.count() == 0, "Expected 0 remaining entry"
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def test_query(self, tmp_path):
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db = ChromaVectorStore(path=str(tmp_path))
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embeddings = [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6], [0.7, 0.8, 0.9]]
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metadatas = [{"a": 1, "b": 2}, {"a": 3, "b": 4}, {"a": 5, "b": 6}]
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ids = ["a", "b", "c"]
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db.add(embeddings=embeddings, metadatas=metadatas, ids=ids)
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_, sim, out_ids = db.query(embedding=[0.1, 0.2, 0.3], top_k=1)
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assert sim == [1.0]
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assert out_ids == ["a"]
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_, _, out_ids = db.query(embedding=[0.42, 0.52, 0.53], top_k=1)
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assert out_ids == ["b"]
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class TestSimpleVectorStore:
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def test_add(self):
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"""Test that add func adds correctly."""
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embeddings = [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]]
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metadatas = [{"a": 1, "b": 2}, {"a": 3, "b": 4}]
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ids = ["1", "2"]
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db = InMemoryVectorStore()
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output = db.add(embeddings=embeddings, metadatas=metadatas, ids=ids)
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assert output == ids, "Excepted output to be the same as ids"
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def test_save_load_delete(self, tmp_path):
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"""Test that delete func deletes correctly."""
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embeddings = [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6], [0.7, 0.8, 0.9]]
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metadatas = [{"a": 1, "b": 2}, {"a": 3, "b": 4}, {"a": 5, "b": 6}]
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ids = ["1", "2", "3"]
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db = InMemoryVectorStore()
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db.add(embeddings=embeddings, metadatas=metadatas, ids=ids)
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db.delete(["3"])
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db.save(save_path=tmp_path / "test_save_load_delete.json")
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f = open(tmp_path / "test_save_load_delete.json")
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data = json.load(f)
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assert (
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"1" and "2" in data["text_id_to_ref_doc_id"]
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), "persist function does not save data completely"
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assert (
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"3" not in data["text_id_to_ref_doc_id"]
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), "delete function does not delete data completely"
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db2 = InMemoryVectorStore()
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output = db2.load(load_path=tmp_path / "test_save_load_delete.json")
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assert output.get("2") == [
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0.4,
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0.5,
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0.6,
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], "persist function does not load data completely"
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