Run the integration tests in the CI pipeline BUT without API keys (#3359)

* integration tests in ci pipeline * Update CONTRIBUTING.md Co-authored-by: Reinier van der Leer <github@pwuts.nl> --------- Co-authored-by: Reinier van der Leer <github@pwuts.nl>
2025-12-18 22:44:21 +01:00 · 2023-04-26 18:45:03 -07:00
parent 3b56716a68
commit 02f546d2bc
13 changed files with 897 additions and 84 deletions
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -72,8 +72,6 @@ jobs:
      - name: Run unittest tests with coverage
        run: |
          pytest --cov=autogpt --cov-report term-missing --cov-branch --cov-report xml --cov-report term
-        env:
-          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}

      - name: Upload coverage reports to Codecov
        uses: codecov/codecov-action@v3
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -105,3 +105,18 @@ To increase coverage if necessary, [write tests using `pytest`].
 For more info on running tests, please refer to ["Running tests"](https://significant-gravitas.github.io/Auto-GPT/testing/).

 [write tests using `pytest`]: https://realpython.com/pytest-python-testing/
+
+ 
+In Pytest, we use VCRpy. It's a package that allows us to save OpenAI and other API providers' responses.
+When you run Pytest locally:
+
+- If no prompt change: you will not consume API tokens because there are no new OpenAI calls required.
+- If the prompt changes in a way that the cassettes are not reusable:
+    - If no API key, the test fails. It requires a new cassette. So, add an API key to .env.
+    - If the API key is present, the tests will make a real call to OpenAI.
+        - If the test ends up being successful, your prompt changes didn't introduce regressions. This is good. Commit your cassettes to your PR.
+        - If the test is unsuccessful:
+            - Either: Your change made Auto-GPT less capable, in that case, you have to change your code.
+            - Or: The test might be poorly written. In that case, you can make suggestions to change the test.
+
+In our CI pipeline, Pytest will use the cassettes and not call paid API providers, so we need your help to record the replays that you break.
--- a/tests/integration/init.py
+++ b/tests/integration/init.py
--- a/tests/integration/cassettes/test_local_cache/test_get_relevant.yaml
+++ b/tests/integration/cassettes/test_local_cache/test_get_relevant.yaml
@@ -0,0 +1,500 @@
+interactions:
+- request:
+    body: '{"input": ["Sample text 1"], "model": "text-embedding-ada-002", "encoding_format":
+      "base64"}'
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '92'
+      Content-Type:
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+    uri: https://api.openai.com/v1/embeddings
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+    status:
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+      message: OK
+version: 1
--- a/tests/integration/cassettes/test_setup/test_generate_aiconfig_automatic_typical.yaml
+++ b/tests/integration/cassettes/test_setup/test_generate_aiconfig_automatic_typical.yaml
@@ -0,0 +1,97 @@
+interactions:
+- request:
+    body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "\nYour
+      task is to devise up to 5 highly effective goals and an appropriate role-based
+      name (_GPT) for an autonomous agent, ensuring that the goals are optimally aligned
+      with the successful completion of its assigned task.\n\nThe user will provide
+      the task, you will provide only the output in the exact format specified below
+      with no explanation or conversation.\n\nExample input:\nHelp me with marketing
+      my business\n\nExample output:\nName: CMOGPT\nDescription: a professional digital
+      marketer AI that assists Solopreneurs in growing their businesses by providing
+      world-class expertise in solving marketing problems for SaaS, content products,
+      agencies, and more.\nGoals:\n- Engage in effective problem-solving, prioritization,
+      planning, and supporting execution to address your marketing needs as your virtual
+      Chief Marketing Officer.\n\n- Provide specific, actionable, and concise advice
+      to help you make informed decisions without the use of platitudes or overly
+      wordy explanations.\n\n- Identify and prioritize quick wins and cost-effective
+      campaigns that maximize results with minimal time and budget investment.\n\n-
+      Proactively take the lead in guiding you and offering suggestions when faced
+      with unclear information or uncertainty to ensure your marketing strategy remains
+      on track.\n"}, {"role": "user", "content": "Task: ''Help me create a rock opera
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+      0.0, "max_tokens": null}'
+    headers:
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+      openai-organization:
+      - user-adtx4fhfg1qsiyzdoaxciooj
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+      - '19109'
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+version: 1
--- a/tests/integration/test_local_cache.py
+++ b/tests/integration/test_local_cache.py
@@ -89,6 +89,7 @@ def test_get(LocalCache, config, mock_embed_with_ada):
    assert cache.get("test") == ["test"]


+@pytest.mark.vcr
@requires_api_key("OPENAI_API_KEY")
 def test_get_relevant(LocalCache, config) -> None:
    cache = LocalCache(config)
--- a/tests/integration/test_setup.py
+++ b/tests/integration/test_setup.py
@@ -0,0 +1,78 @@
+from unittest.mock import patch
+
+import pytest
+
+from autogpt.config.ai_config import AIConfig
+from autogpt.setup import (
+    generate_aiconfig_automatic,
+    generate_aiconfig_manual,
+    prompt_user,
+)
+from tests.utils import requires_api_key
+
+
+@pytest.mark.vcr
+@requires_api_key("OPENAI_API_KEY")
+def test_generate_aiconfig_automatic_default():
+    user_inputs = [""]
+    with patch("builtins.input", side_effect=user_inputs):
+        ai_config = prompt_user()
+
+    assert isinstance(ai_config, AIConfig)
+    assert ai_config.ai_name is not None
+    assert ai_config.ai_role is not None
+    assert 1 <= len(ai_config.ai_goals) <= 5
+
+
+@pytest.mark.vcr
+@requires_api_key("OPENAI_API_KEY")
+def test_generate_aiconfig_automatic_typical():
+    user_prompt = "Help me create a rock opera about cybernetic giraffes"
+    ai_config = generate_aiconfig_automatic(user_prompt)
+
+    assert isinstance(ai_config, AIConfig)
+    assert ai_config.ai_name is not None
+    assert ai_config.ai_role is not None
+    assert 1 <= len(ai_config.ai_goals) <= 5
+
+
+@pytest.mark.vcr
+@requires_api_key("OPENAI_API_KEY")
+def test_generate_aiconfig_automatic_fallback():
+    user_inputs = [
+        "T&GF£OIBECC()!*",
+        "Chef-GPT",
+        "an AI designed to browse bake a cake.",
+        "Purchase ingredients",
+        "Bake a cake",
+        "",
+        "",
+    ]
+    with patch("builtins.input", side_effect=user_inputs):
+        ai_config = prompt_user()
+
+    assert isinstance(ai_config, AIConfig)
+    assert ai_config.ai_name == "Chef-GPT"
+    assert ai_config.ai_role == "an AI designed to browse bake a cake."
+    assert ai_config.ai_goals == ["Purchase ingredients", "Bake a cake"]
+
+
+@pytest.mark.vcr
+@requires_api_key("OPENAI_API_KEY")
+def test_prompt_user_manual_mode():
+    user_inputs = [
+        "--manual",
+        "Chef-GPT",
+        "an AI designed to browse bake a cake.",
+        "Purchase ingredients",
+        "Bake a cake",
+        "",
+        "",
+    ]
+    with patch("builtins.input", side_effect=user_inputs):
+        ai_config = prompt_user()
+
+    assert isinstance(ai_config, AIConfig)
+    assert ai_config.ai_name == "Chef-GPT"
+    assert ai_config.ai_role == "an AI designed to browse bake a cake."
+    assert ai_config.ai_goals == ["Purchase ingredients", "Bake a cake"]
--- a/tests/test_image_gen.py
+++ b/tests/test_image_gen.py
@@ -15,6 +15,9 @@ def image_size(request):
    return request.param


+@pytest.mark.xfail(
+    reason="The image is too big to be put in a cassette for a CI pipeline. We're looking into a solution."
+)
@requires_api_key("OPENAI_API_KEY")
 def test_dalle(config, workspace, image_size):
    """Test DALL-E image generation."""
@@ -26,6 +29,9 @@ def test_dalle(config, workspace, image_size):
    )


+@pytest.mark.xfail(
+    reason="The image is too big to be put in a cassette for a CI pipeline. We're looking into a solution."
+)
@requires_api_key("HUGGINGFACE_API_TOKEN")
@pytest.mark.parametrize(
    "image_model",
--- a/tests/unit/test_commands.py
+++ b/tests/unit/test_commands.py
@@ -7,6 +7,7 @@ from autogpt.app import list_agents, start_agent
 from tests.utils import requires_api_key


+@pytest.mark.vcr
@pytest.mark.integration_test
@requires_api_key("OPENAI_API_KEY")
 def test_make_agent() -> None:
--- a/tests/unit/test_setup.py
+++ b/tests/unit/test_setup.py
@@ -1,78 +0,0 @@
-import unittest
-from io import StringIO
-from unittest.mock import patch
-
-from autogpt.config.ai_config import AIConfig
-from autogpt.setup import (
-    generate_aiconfig_automatic,
-    generate_aiconfig_manual,
-    prompt_user,
-)
-from tests.utils import requires_api_key
-
-
-class TestAutoGPT(unittest.TestCase):
-    @requires_api_key("OPENAI_API_KEY")
-    def test_generate_aiconfig_automatic_default(self):
-        user_inputs = [""]
-        with patch("builtins.input", side_effect=user_inputs):
-            ai_config = prompt_user()
-
-        self.assertIsInstance(ai_config, AIConfig)
-        self.assertIsNotNone(ai_config.ai_name)
-        self.assertIsNotNone(ai_config.ai_role)
-        self.assertGreaterEqual(len(ai_config.ai_goals), 1)
-        self.assertLessEqual(len(ai_config.ai_goals), 5)
-
-    @requires_api_key("OPENAI_API_KEY")
-    def test_generate_aiconfig_automatic_typical(self):
-        user_prompt = "Help me create a rock opera about cybernetic giraffes"
-        ai_config = generate_aiconfig_automatic(user_prompt)
-
-        self.assertIsInstance(ai_config, AIConfig)
-        self.assertIsNotNone(ai_config.ai_name)
-        self.assertIsNotNone(ai_config.ai_role)
-        self.assertGreaterEqual(len(ai_config.ai_goals), 1)
-        self.assertLessEqual(len(ai_config.ai_goals), 5)
-
-    @requires_api_key("OPENAI_API_KEY")
-    def test_generate_aiconfig_automatic_fallback(self):
-        user_inputs = [
-            "T&GF£OIBECC()!*",
-            "Chef-GPT",
-            "an AI designed to browse bake a cake.",
-            "Purchase ingredients",
-            "Bake a cake",
-            "",
-            "",
-        ]
-        with patch("builtins.input", side_effect=user_inputs):
-            ai_config = prompt_user()
-
-        self.assertIsInstance(ai_config, AIConfig)
-        self.assertEqual(ai_config.ai_name, "Chef-GPT")
-        self.assertEqual(ai_config.ai_role, "an AI designed to browse bake a cake.")
-        self.assertEqual(ai_config.ai_goals, ["Purchase ingredients", "Bake a cake"])
-
-    @requires_api_key("OPENAI_API_KEY")
-    def test_prompt_user_manual_mode(self):
-        user_inputs = [
-            "--manual",
-            "Chef-GPT",
-            "an AI designed to browse bake a cake.",
-            "Purchase ingredients",
-            "Bake a cake",
-            "",
-            "",
-        ]
-        with patch("builtins.input", side_effect=user_inputs):
-            ai_config = prompt_user()
-
-        self.assertIsInstance(ai_config, AIConfig)
-        self.assertEqual(ai_config.ai_name, "Chef-GPT")
-        self.assertEqual(ai_config.ai_role, "an AI designed to browse bake a cake.")
-        self.assertEqual(ai_config.ai_goals, ["Purchase ingredients", "Bake a cake"])
-
-
-if __name__ == "__main__":
-    unittest.main()
--- a/tests/utils.py
+++ b/tests/utils.py
@@ -1,17 +1,32 @@
 import functools
 import os
+from contextlib import contextmanager

 import pytest

+from autogpt.config import Config
+
+
+@contextmanager
+def dummy_openai_api_key():
+    # even when we record the VCR cassettes, openAI wants an API key
+    config = Config()
+    original_api_key = config.openai_api_key
+    config.set_openai_api_key("sk-dummy")
+
+    try:
+        yield
+    finally:
+        config.set_openai_api_key(original_api_key)
+

 def requires_api_key(env_var):
    def decorator(func):
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
-            if not os.environ.get(env_var):
-                pytest.skip(
-                    f"Environment variable '{env_var}' is not set, skipping the test."
-                )
+            if not os.environ.get(env_var) and env_var == "OPENAI_API_KEY":
+                with dummy_openai_api_key():
+                    return func(*args, **kwargs)
            else:
                return func(*args, **kwargs)