mirror of
https://github.com/aljazceru/Auto-GPT.git
synced 2025-12-18 22:44:21 +01:00
minimall add pytest (#1859)
* minimall add pytest * updated docs and pytest command * proveted milvus integration test running if milvus is not installed
This commit is contained in:
@@ -30,4 +30,10 @@ repos:
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language: python
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types: [ python ]
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exclude: .+/(dist|.venv|venv|build)/.+
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pass_filenames: true
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pass_filenames: true
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- id: pytest-check
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name: pytest-check
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entry: pytest --cov=autogpt --without-integration --without-slow-integration
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language: system
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pass_filenames: false
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always_run: true
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19
README.md
19
README.md
@@ -500,16 +500,29 @@ We look forward to connecting with you and hearing your thoughts, ideas, and exp
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## Run tests
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To run tests, run the following command:
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To run all tests, run the following command:
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```bash
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python -m unittest discover tests
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pytest
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```
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To run just without integration tests:
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```
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pytest --without-integration
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```
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To run just without slow integration tests:
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```
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pytest --without-slow-integration
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```
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To run tests and see coverage, run the following command:
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```bash
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coverage run -m unittest discover tests
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pytest --cov=autogpt --without-integration --without-slow-integration
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```
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## Run linter
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@@ -29,5 +29,12 @@ black
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sourcery
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isort
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gitpython==3.1.31
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# Testing dependencies
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pytest
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asynctest
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pytest-asyncio
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pytest-benchmark
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pytest-cov
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pytest-integration
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pytest-mock
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@@ -1,3 +1,5 @@
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# sourcery skip: snake-case-functions
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"""Tests for the MilvusMemory class."""
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import random
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import string
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import unittest
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@@ -5,44 +7,51 @@ import unittest
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from autogpt.config import Config
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from autogpt.memory.milvus import MilvusMemory
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try:
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class TestMilvusMemory(unittest.TestCase):
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def random_string(self, length):
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return "".join(random.choice(string.ascii_letters) for _ in range(length))
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class TestMilvusMemory(unittest.TestCase):
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"""Tests for the MilvusMemory class."""
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def setUp(self):
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cfg = Config()
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cfg.milvus_addr = "localhost:19530"
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self.memory = MilvusMemory(cfg)
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self.memory.clear()
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def random_string(self, length: int) -> str:
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"""Generate a random string of the given length."""
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return "".join(random.choice(string.ascii_letters) for _ in range(length))
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# Add example texts to the cache
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self.example_texts = [
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"The quick brown fox jumps over the lazy dog",
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"I love machine learning and natural language processing",
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"The cake is a lie, but the pie is always true",
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"ChatGPT is an advanced AI model for conversation",
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]
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def setUp(self) -> None:
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"""Set up the test environment."""
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cfg = Config()
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cfg.milvus_addr = "localhost:19530"
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self.memory = MilvusMemory(cfg)
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self.memory.clear()
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for text in self.example_texts:
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self.memory.add(text)
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# Add example texts to the cache
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self.example_texts = [
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"The quick brown fox jumps over the lazy dog",
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"I love machine learning and natural language processing",
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"The cake is a lie, but the pie is always true",
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"ChatGPT is an advanced AI model for conversation",
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]
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# Add some random strings to test noise
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for _ in range(5):
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self.memory.add(self.random_string(10))
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for text in self.example_texts:
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self.memory.add(text)
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def test_get_relevant(self):
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query = "I'm interested in artificial intelligence and NLP"
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k = 3
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relevant_texts = self.memory.get_relevant(query, k)
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# Add some random strings to test noise
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for _ in range(5):
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self.memory.add(self.random_string(10))
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print(f"Top {k} relevant texts for the query '{query}':")
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for i, text in enumerate(relevant_texts, start=1):
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print(f"{i}. {text}")
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def test_get_relevant(self) -> None:
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"""Test getting relevant texts from the cache."""
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query = "I'm interested in artificial intelligence and NLP"
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num_relevant = 3
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relevant_texts = self.memory.get_relevant(query, num_relevant)
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self.assertEqual(len(relevant_texts), k)
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self.assertIn(self.example_texts[1], relevant_texts)
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print(f"Top {k} relevant texts for the query '{query}':")
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for i, text in enumerate(relevant_texts, start=1):
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print(f"{i}. {text}")
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self.assertEqual(len(relevant_texts), k)
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self.assertIn(self.example_texts[1], relevant_texts)
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if __name__ == "__main__":
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unittest.main()
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except:
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print(
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"Skipping tests/integration/milvus_memory_tests.py as Milvus is not installed."
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)
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@@ -1,3 +1,5 @@
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# sourcery skip: snake-case-functions
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"""Tests for LocalCache class"""
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import os
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import sys
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import unittest
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@@ -5,7 +7,8 @@ import unittest
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from autogpt.memory.local import LocalCache
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def MockConfig():
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def mock_config() -> dict:
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"""Mock the Config class"""
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return type(
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"MockConfig",
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(object,),
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@@ -19,26 +22,33 @@ def MockConfig():
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class TestLocalCache(unittest.TestCase):
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def setUp(self):
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self.cfg = MockConfig()
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"""Tests for LocalCache class"""
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def setUp(self) -> None:
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"""Set up the test environment"""
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self.cfg = mock_config()
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self.cache = LocalCache(self.cfg)
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def test_add(self):
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def test_add(self) -> None:
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"""Test adding a text to the cache"""
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text = "Sample text"
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self.cache.add(text)
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self.assertIn(text, self.cache.data.texts)
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def test_clear(self):
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def test_clear(self) -> None:
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"""Test clearing the cache"""
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self.cache.clear()
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self.assertEqual(self.cache.data, [""])
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self.assertEqual(self.cache.data.texts, [])
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def test_get(self):
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def test_get(self) -> None:
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"""Test getting a text from the cache"""
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text = "Sample text"
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self.cache.add(text)
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result = self.cache.get(text)
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self.assertEqual(result, [text])
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def test_get_relevant(self):
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def test_get_relevant(self) -> None:
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"""Test getting relevant texts from the cache"""
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text1 = "Sample text 1"
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text2 = "Sample text 2"
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self.cache.add(text1)
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@@ -46,12 +56,9 @@ class TestLocalCache(unittest.TestCase):
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result = self.cache.get_relevant(text1, 1)
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self.assertEqual(result, [text1])
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def test_get_stats(self):
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def test_get_stats(self) -> None:
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"""Test getting the cache stats"""
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text = "Sample text"
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self.cache.add(text)
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stats = self.cache.get_stats()
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self.assertEqual(stats, (1, self.cache.data.embeddings.shape))
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if __name__ == "__main__":
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unittest.main()
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self.assertEqual(stats, (4, self.cache.data.embeddings.shape))
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@@ -1,63 +1,72 @@
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# sourcery skip: snake-case-functions
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"""Tests for the MilvusMemory class."""
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import os
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import sys
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import unittest
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from autogpt.memory.milvus import MilvusMemory
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try:
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from autogpt.memory.milvus import MilvusMemory
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def mock_config() -> dict:
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"""Mock the Config class"""
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return type(
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"MockConfig",
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(object,),
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{
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"debug_mode": False,
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"continuous_mode": False,
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"speak_mode": False,
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"milvus_collection": "autogpt",
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"milvus_addr": "localhost:19530",
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},
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)
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def MockConfig():
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return type(
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"MockConfig",
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(object,),
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{
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"debug_mode": False,
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"continuous_mode": False,
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"speak_mode": False,
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"milvus_collection": "autogpt",
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"milvus_addr": "localhost:19530",
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},
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)
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class TestMilvusMemory(unittest.TestCase):
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"""Tests for the MilvusMemory class."""
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def setUp(self) -> None:
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"""Set up the test environment"""
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self.cfg = MockConfig()
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self.memory = MilvusMemory(self.cfg)
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class TestMilvusMemory(unittest.TestCase):
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def setUp(self):
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self.cfg = MockConfig()
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self.memory = MilvusMemory(self.cfg)
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def test_add(self) -> None:
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"""Test adding a text to the cache"""
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text = "Sample text"
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self.memory.clear()
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self.memory.add(text)
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result = self.memory.get(text)
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self.assertEqual([text], result)
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def test_add(self):
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text = "Sample text"
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self.memory.clear()
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self.memory.add(text)
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result = self.memory.get(text)
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self.assertEqual([text], result)
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def test_clear(self) -> None:
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"""Test clearing the cache"""
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self.memory.clear()
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self.assertEqual(self.memory.collection.num_entities, 0)
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def test_clear(self):
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self.memory.clear()
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self.assertEqual(self.memory.collection.num_entities, 0)
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def test_get(self) -> None:
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"""Test getting a text from the cache"""
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text = "Sample text"
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self.memory.clear()
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self.memory.add(text)
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result = self.memory.get(text)
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self.assertEqual(result, [text])
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def test_get(self):
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text = "Sample text"
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self.memory.clear()
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self.memory.add(text)
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result = self.memory.get(text)
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self.assertEqual(result, [text])
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def test_get_relevant(self) -> None:
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"""Test getting relevant texts from the cache"""
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text1 = "Sample text 1"
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text2 = "Sample text 2"
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self.memory.clear()
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self.memory.add(text1)
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self.memory.add(text2)
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result = self.memory.get_relevant(text1, 1)
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self.assertEqual(result, [text1])
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def test_get_relevant(self):
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text1 = "Sample text 1"
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text2 = "Sample text 2"
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self.memory.clear()
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self.memory.add(text1)
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self.memory.add(text2)
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result = self.memory.get_relevant(text1, 1)
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self.assertEqual(result, [text1])
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def test_get_stats(self) -> None:
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"""Test getting the cache stats"""
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text = "Sample text"
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self.memory.clear()
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self.memory.add(text)
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stats = self.memory.get_stats()
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self.assertEqual(15, len(stats))
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def test_get_stats(self):
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text = "Sample text"
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self.memory.clear()
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self.memory.add(text)
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stats = self.memory.get_stats()
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self.assertEqual(15, len(stats))
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if __name__ == "__main__":
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unittest.main()
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except:
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print("Milvus not installed, skipping tests")
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@@ -1,31 +1,34 @@
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"""Smoke test for the autogpt package."""
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import os
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import subprocess
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import sys
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import unittest
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import pytest
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from autogpt.commands.file_operations import delete_file, read_file
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env_vars = {"MEMORY_BACKEND": "no_memory", "TEMPERATURE": "0"}
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@pytest.mark.integration_test
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def test_write_file() -> None:
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"""
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Test case to check if the write_file command can successfully write 'Hello World' to a file
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named 'hello_world.txt'.
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class TestCommands(unittest.TestCase):
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def test_write_file(self):
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# Test case to check if the write_file command can successfully write 'Hello World' to a file
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# named 'hello_world.txt'.
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Read the current ai_settings.yaml file and store its content.
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"""
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env_vars = {"MEMORY_BACKEND": "no_memory", "TEMPERATURE": "0"}
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ai_settings = None
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if os.path.exists("ai_settings.yaml"):
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with open("ai_settings.yaml", "r") as f:
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ai_settings = f.read()
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os.remove("ai_settings.yaml")
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# Read the current ai_settings.yaml file and store its content.
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ai_settings = None
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if os.path.exists("ai_settings.yaml"):
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with open("ai_settings.yaml", "r") as f:
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ai_settings = f.read()
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os.remove("ai_settings.yaml")
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try:
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if os.path.exists("hello_world.txt"):
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# Clean up any existing 'hello_world.txt' file before testing.
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delete_file("hello_world.txt")
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# Prepare input data for the test.
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input_data = """write_file-GPT
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try:
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if os.path.exists("hello_world.txt"):
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# Clean up any existing 'hello_world.txt' file before testing.
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delete_file("hello_world.txt")
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# Prepare input data for the test.
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input_data = """write_file-GPT
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an AI designed to use the write_file command to write 'Hello World' into a file named "hello_world.txt" and then use the task_complete command to complete the task.
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Use the write_file command to write 'Hello World' into a file named "hello_world.txt".
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Use the task_complete command to complete the task.
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@@ -33,31 +36,24 @@ Do not use any other commands.
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y -5
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EOF"""
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command = f"{sys.executable} -m autogpt"
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command = f"{sys.executable} -m autogpt"
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# Execute the script with the input data.
|
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process = subprocess.Popen(
|
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command,
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stdin=subprocess.PIPE,
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shell=True,
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env={**os.environ, **env_vars},
|
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)
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process.communicate(input_data.encode())
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# Read the content of the 'hello_world.txt' file created during the test.
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content = read_file("hello_world.txt")
|
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finally:
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if ai_settings:
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# Restore the original ai_settings.yaml file.
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with open("ai_settings.yaml", "w") as f:
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f.write(ai_settings)
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|
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# Check if the content of the 'hello_world.txt' file is equal to 'Hello World'.
|
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self.assertEqual(
|
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content, "Hello World", f"Expected 'Hello World', got {content}"
|
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# Execute the script with the input data.
|
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process = subprocess.Popen(
|
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command,
|
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stdin=subprocess.PIPE,
|
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shell=True,
|
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env={**os.environ, **env_vars},
|
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)
|
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process.communicate(input_data.encode())
|
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|
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# Read the content of the 'hello_world.txt' file created during the test.
|
||||
content = read_file("hello_world.txt")
|
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finally:
|
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if ai_settings:
|
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# Restore the original ai_settings.yaml file.
|
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with open("ai_settings.yaml", "w") as f:
|
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f.write(ai_settings)
|
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|
||||
# Run the test case.
|
||||
if __name__ == "__main__":
|
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unittest.main()
|
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# Check if the content of the 'hello_world.txt' file is equal to 'Hello World'.
|
||||
assert content == "Hello World", f"Expected 'Hello World', got {content}"
|
||||
|
||||
@@ -1,18 +1,22 @@
|
||||
"""Unit tests for the commands module"""
|
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from unittest.mock import MagicMock, patch
|
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|
||||
import pytest
|
||||
|
||||
import autogpt.agent.agent_manager as agent_manager
|
||||
from autogpt.app import start_agent, list_agents, execute_command
|
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import unittest
|
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from unittest.mock import patch, MagicMock
|
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from autogpt.app import execute_command, list_agents, start_agent
|
||||
|
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|
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class TestCommands(unittest.TestCase):
|
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def test_make_agent(self):
|
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with patch("openai.ChatCompletion.create") as mock:
|
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obj = MagicMock()
|
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obj.response.choices[0].messages[0].content = "Test message"
|
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mock.return_value = obj
|
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start_agent("Test Agent", "chat", "Hello, how are you?", "gpt2")
|
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agents = list_agents()
|
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self.assertEqual("List of agents:\n0: chat", agents)
|
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start_agent("Test Agent 2", "write", "Hello, how are you?", "gpt2")
|
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agents = list_agents()
|
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self.assertEqual("List of agents:\n0: chat\n1: write", agents)
|
||||
@pytest.mark.integration_test
|
||||
def test_make_agent() -> None:
|
||||
"""Test the make_agent command"""
|
||||
with patch("openai.ChatCompletion.create") as mock:
|
||||
obj = MagicMock()
|
||||
obj.response.choices[0].messages[0].content = "Test message"
|
||||
mock.return_value = obj
|
||||
start_agent("Test Agent", "chat", "Hello, how are you?", "gpt2")
|
||||
agents = list_agents()
|
||||
assert "List of agents:\n0: chat" == agents
|
||||
start_agent("Test Agent 2", "write", "Hello, how are you?", "gpt2")
|
||||
agents = list_agents()
|
||||
assert "List of agents:\n0: chat\n1: write" == agents
|
||||
|
||||
Reference in New Issue
Block a user