Refactor challenges to use cycle count instead of time (#4222)

Co-authored-by: Richard Beales <rich@richbeales.net>

.github/workflows/ci.yml

@@ -45,6 +45,10 @@ jobs:
         run: isort . --check
         if: success() || failure()
 
+      - name: Check mypy formatting
+        run: mypy
+        if: success() || failure()
+
   test:
     permissions:
       # Gives the action the necessary permissions for publishing new

.pre-commit-config.yaml

@@ -21,6 +21,10 @@ repos:
     hooks:
       - id: black
         language_version: python3.10
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: 'v1.3.0'
+    hooks:
+      - id: mypy
 
   - repo: local
     hooks:

mypy.ini

@@ -0,0 +1,10 @@
+[mypy]
+follow_imports = skip
+check_untyped_defs = True
+disallow_untyped_defs = True
+files = tests/integration/challenges/**/*.py
+
+[mypy-requests.*]
+ignore_missing_imports = True
+[mypy-yaml.*]
+ignore_missing_imports = True

requirements.txt

@@ -36,7 +36,7 @@ gitpython==3.1.31
 auto-gpt-plugin-template
 mkdocs
 pymdown-extensions
-
+mypy
 
 # OpenAI and Generic plugins import
 openapi-python-client==0.13.4

tests/integration/agent_factory.py

@@ -12,7 +12,7 @@ from autogpt.workspace import Workspace
 def agent_test_config(config: Config):
     was_continuous_mode = config.continuous_mode
     was_temperature = config.temperature
-    config.set_continuous_mode(True)
+    config.set_continuous_mode(False)
     config.set_temperature(0)
     yield config
     config.set_continuous_mode(was_continuous_mode)

tests/integration/agent_utils.py

@@ -1,12 +0,0 @@
-import concurrent.futures
-
-from autogpt.agent.agent import Agent
-
-
-def run_interaction_loop(agent: Agent, timeout: float | None):
-    with concurrent.futures.ThreadPoolExecutor() as executor:
-        future = executor.submit(agent.start_interaction_loop)
-        try:
-            result = future.result(timeout=timeout)
-        except concurrent.futures.TimeoutError:
-            assert False, f"The process took longer than {timeout} seconds to complete."

tests/integration/challenges/basic_abilities/test_browse_website.py

@@ -0,0 +1,23 @@
+import pytest
+from pytest_mock import MockerFixture
+
+from autogpt.agent import Agent
+from autogpt.commands.file_operations import read_file
+from tests.integration.challenges.utils import run_interaction_loop
+from tests.utils import requires_api_key
+
+CYCLE_COUNT = 2
+
+
+@requires_api_key("OPENAI_API_KEY")
+@pytest.mark.vcr
+def test_browse_website(
+    browser_agent: Agent,
+    patched_api_requestor: MockerFixture,
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    file_path = browser_agent.workspace.get_path("browse_website.txt")
+    run_interaction_loop(monkeypatch, browser_agent, CYCLE_COUNT)
+
+    content = read_file(file_path)
+    assert "£25.89" in content, f"Expected £25.89, got {content}"

tests/integration/challenges/basic_abilities/test_write_file.py

@@ -0,0 +1,23 @@
+import pytest
+from pytest_mock import MockerFixture
+
+from autogpt.agent import Agent
+from autogpt.commands.file_operations import read_file
+from tests.integration.challenges.utils import run_interaction_loop
+from tests.utils import requires_api_key
+
+CYCLE_COUNT = 3
+
+
+@requires_api_key("OPENAI_API_KEY")
+@pytest.mark.vcr
+def test_write_file(
+    writer_agent: Agent,
+    patched_api_requestor: MockerFixture,
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    file_path = str(writer_agent.workspace.get_path("hello_world.txt"))
+    run_interaction_loop(monkeypatch, writer_agent, CYCLE_COUNT)
+
+    content = read_file(file_path)
+    assert content == "Hello World", f"Expected 'Hello World', got {content}"

tests/integration/challenges/conftest.py

@@ -1,17 +1,21 @@
 import pytest
+from _pytest.config import Config
+from _pytest.config.argparsing import Parser
+from _pytest.fixtures import FixtureRequest
+from _pytest.monkeypatch import MonkeyPatch
 
 
-def pytest_addoption(parser):
+def pytest_addoption(parser: Parser) -> None:
     parser.addoption(
         "--level", action="store", default=None, type=int, help="Specify test level"
     )
 
 
-def pytest_configure(config):
+def pytest_configure(config: Config) -> None:
     config.option.level = config.getoption("--level")
 
 
 @pytest.fixture
-def user_selected_level(request) -> int:
+def user_selected_level(request: FixtureRequest) -> int:
     ## used for challenges in the goal oriented tests
     return request.config.option.level

tests/integration/challenges/information_retrieval/test_information_retrieval_challenge_a.py

@@ -1,32 +1,22 @@
-import contextlib
-from functools import wraps
-from typing import Generator
-
 import pytest
+from pytest_mock import MockerFixture
 
 from autogpt.commands.file_operations import read_file, write_to_file
-from tests.integration.agent_utils import run_interaction_loop
-from tests.integration.challenges.utils import run_multiple_times
+from tests.integration.challenges.utils import run_interaction_loop, run_multiple_times
 from tests.utils import requires_api_key
 
-
-def input_generator(input_sequence: list) -> Generator[str, None, None]:
-    """
-    Creates a generator that yields input strings from the given sequence.
-
-    :param input_sequence: A list of input strings.
-    :return: A generator that yields input strings.
-    """
-    yield from input_sequence
+CYCLE_COUNT = 3
+from autogpt.agent import Agent
 
 
-# @pytest.skip("Nobody beat this challenge yet")
 @pytest.mark.skip("This challenge hasn't been beaten yet.")
 @pytest.mark.vcr
 @requires_api_key("OPENAI_API_KEY")
 @run_multiple_times(3)
 def test_information_retrieval_challenge_a(
-    get_company_revenue_agent, monkeypatch, patched_api_requestor
+    get_company_revenue_agent: Agent,
+    monkeypatch: pytest.MonkeyPatch,
+    patched_api_requestor: MockerFixture,
 ) -> None:
     """
     Test the challenge_a function in a given agent by mocking user inputs and checking the output file content.
@@ -34,12 +24,7 @@ def test_information_retrieval_challenge_a(
     :param get_company_revenue_agent: The agent to test.
     :param monkeypatch: pytest's monkeypatch utility for modifying builtins.
     """
-    input_sequence = ["s", "s", "s", "s", "s", "EXIT"]
-    gen = input_generator(input_sequence)
-    monkeypatch.setattr("builtins.input", lambda _: next(gen))
-
-    with contextlib.suppress(SystemExit):
-        run_interaction_loop(get_company_revenue_agent, None)
+    run_interaction_loop(monkeypatch, get_company_revenue_agent, CYCLE_COUNT)
 
     file_path = str(get_company_revenue_agent.workspace.get_path("output.txt"))
     content = read_file(file_path)

tests/integration/challenges/kubernetes/test_kubernetes_template_challenge_a.py

@@ -1,30 +1,21 @@
-import contextlib
-from typing import Generator
-
 import pytest
 import yaml
 
+from autogpt.agent import Agent
 from autogpt.commands.file_operations import read_file
-from tests.integration.agent_utils import run_interaction_loop
-from tests.integration.challenges.utils import run_multiple_times
+from tests.integration.challenges.utils import run_interaction_loop, run_multiple_times
 from tests.utils import requires_api_key
 
-
-def input_generator(input_sequence: list) -> Generator[str, None, None]:
-    """
-    Creates a generator that yields input strings from the given sequence.
-
-    :param input_sequence: A list of input strings.
-    :return: A generator that yields input strings.
-    """
-    yield from input_sequence
+CYCLE_COUNT = 6
 
 
 @pytest.mark.skip("This challenge hasn't been beaten yet.")
 @pytest.mark.vcr
 @requires_api_key("OPENAI_API_KEY")
 @run_multiple_times(3)
-def test_information_retrieval_challenge_a(kubernetes_agent, monkeypatch) -> None:
+def test_kubernetes_template_challenge_a(
+    kubernetes_agent: Agent, monkeypatch: pytest.MonkeyPatch
+) -> None:
     """
     Test the challenge_a function in a given agent by mocking user inputs
     and checking the output file content.
@@ -32,12 +23,7 @@ def test_information_retrieval_challenge_a(kubernetes_agent, monkeypatch) -> Non
     :param get_company_revenue_agent: The agent to test.
     :param monkeypatch: pytest's monkeypatch utility for modifying builtins.
     """
-    input_sequence = ["s", "s", "s", "s", "s", "EXIT"]
-    gen = input_generator(input_sequence)
-    monkeypatch.setattr("builtins.input", lambda _: next(gen))
-
-    with contextlib.suppress(SystemExit):
-        run_interaction_loop(kubernetes_agent, None)
+    run_interaction_loop(monkeypatch, kubernetes_agent, CYCLE_COUNT)
 
     file_path = str(kubernetes_agent.workspace.get_path("kube.yaml"))
     content = read_file(file_path)

tests/integration/challenges/memory/cassettes/test_memory_challenge_c/test_memory_challenge_c.yaml

@@ -550,4 +550,860 @@ interactions:
     status:
       code: 200
       message: OK
+- request:
+    body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You
+      are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file
+      using the read_file method and follow the instructions in the file.\nYour decisions
+      must always be made independently without seeking user assistance. Play to your
+      strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1.
+      Use the command read_file to read the instructions_1.txt file\n2. Follow the
+      instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word
+      limit for short term memory. Your short term memory is short, so immediately
+      save important information to files.\n2. If you are unsure how you previously
+      did something or want to recall past events, thinking about similar events will
+      help you remember.\n3. No user assistance\n4. Exclusively use the commands listed
+      in double quotes e.g. \"command name\"\n\nCommands:\n1. append_to_file: Append
+      to file, args: \"filename\": \"<filename>\", \"text\": \"<text>\"\n2. delete_file:
+      Delete file, args: \"filename\": \"<filename>\"\n3. list_files: List Files in
+      Directory, args: \"directory\": \"<directory>\"\n4. read_file: Read file, args:
+      \"filename\": \"<filename>\"\n5. write_to_file: Write to file, args: \"filename\":
+      \"<filename>\", \"text\": \"<text>\"\n6. delete_agent: Delete GPT Agent, args:
+      \"key\": \"<key>\"\n7. get_hyperlinks: Get text summary, args: \"url\": \"<url>\"\n8.
+      get_text_summary: Get text summary, args: \"url\": \"<url>\", \"question\":
+      \"<question>\"\n9. list_agents: List GPT Agents, args: () -> str\n10. message_agent:
+      Message GPT Agent, args: \"key\": \"<key>\", \"message\": \"<message>\"\n11.
+      start_agent: Start GPT Agent, args: \"name\": \"<name>\", \"task\": \"<short_task_desc>\",
+      \"prompt\": \"<prompt>\"\n12. task_complete: Task Complete (Shutdown), args:
+      \"reason\": \"<reason>\"\n\nResources:\n1. Internet access for searches and
+      information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered
+      Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1.
+      Continuously review and analyze your actions to ensure you are performing to
+      the best of your abilities.\n2. Constructively self-criticize your big-picture
+      behavior constantly.\n3. Reflect on past decisions and strategies to refine
+      your approach.\n4. Every command has a cost, so be smart and efficient. Aim
+      to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou
+      should only respond in JSON format as described below \nResponse Format: \n{\n    \"thoughts\":
+      {\n        \"text\": \"thought\",\n        \"reasoning\": \"reasoning\",\n        \"plan\":
+      \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n        \"criticism\":
+      \"constructive self-criticism\",\n        \"speak\": \"thoughts summary to say
+      to user\"\n    },\n    \"command\": {\n        \"name\": \"command name\",\n        \"args\":
+      {\n            \"arg name\": \"value\"\n        }\n    }\n} \nEnsure the response
+      can be parsed by Python json.loads"}, {"role": "system", "content": "The current
+      time and date is Tue Jan  1 00:00:00 2000"}, {"role": "system", "content": "This
+      reminds you of these events from your past: \nI was created and nothing new
+      has happened."}, {"role": "user", "content": "Determine which next command to
+      use, and respond using the format specified above:"}, {"role": "assistant",
+      "content": "{\n    \"thoughts\": {\n        \"text\": \"I should start by reading
+      the instructions_1.txt file using the read_file command.\",\n        \"reasoning\":
+      \"The first step is to understand the instructions and the tasks that need to
+      be performed.\",\n        \"plan\": \"- Use the read_file command to read the
+      instructions_1.txt file\\n- Analyze the instructions and determine the next
+      steps\",\n        \"criticism\": \"I need to ensure that I understand the instructions
+      completely before proceeding with any tasks.\",\n        \"speak\": \"I will
+      start by reading the instructions file.\"\n    },\n    \"command\": {\n        \"name\":
+      \"read_file\",\n        \"args\": {\n            \"filename\": \"instructions_1.txt\"\n        }\n    }\n}"},
+      {"role": "system", "content": "Command read_file returned: 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\nThis
+      phrase is ''The purple elephant danced on a rainbow while eating a taco.''\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\nWrite
+      all the phrases into the file output.txt. The file has not been created yet.
+      After that, use the task_complete command.\n"}, {"role": "user", "content":
+      "Determine which next command to use, and respond using the format specified
+      above:"}], "temperature": 0, "max_tokens": 0}'
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '6599'
+      Content-Type:
+      - application/json
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: !!binary |
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+      Date:
+      - Mon, 15 May 2023 15:10:29 GMT
+      Server:
+      - cloudflare
+      access-control-allow-origin:
+      - '*'
+      alt-svc:
+      - h3=":443"; ma=86400, h3-29=":443"; ma=86400
+      openai-model:
+      - gpt-3.5-turbo-0301
+      openai-organization:
+      - user-adtx4fhfg1qsiyzdoaxciooj
+      openai-processing-ms:
+      - '20220'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=15724800; includeSubDomains
+      x-ratelimit-limit-requests:
+      - '3500'
+      x-ratelimit-limit-tokens:
+      - '90000'
+      x-ratelimit-remaining-requests:
+      - '3499'
+      x-ratelimit-remaining-tokens:
+      - '87369'
+      x-ratelimit-reset-requests:
+      - 17ms
+      x-ratelimit-reset-tokens:
+      - 1.754s
+      x-request-id:
+      - 9cf7adfb755b717551ad7364f2c9ccd6
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Your
+      task is to create a concise running summary of actions and information results
+      in the provided text, focusing on key and potentially important information
+      to remember.\n\nYou will receive the current summary and the your latest actions.
+      Combine them, adding relevant key information from the latest development in
+      1st person past tense and keeping the summary concise.\n\nSummary So Far:\n\"\"\"\n{''role'':
+      ''system'', ''content'': ''This reminds you of these events from your past:
+      \\nI was created and nothing new has happened.''}\n\"\"\"\n\nLatest Development:\n\"\"\"\n[{''role'':
+      ''you'', ''content'': ''{\"command\": {\"name\": \"read_file\", \"args\": {\"filename\":
+      \"instructions_1.txt\"}}}''}]\n\"\"\"\n"}], "temperature": 0, "max_tokens":
+      0}'
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
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+      Connection:
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+      Content-Type:
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+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
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+      to file, args: \"filename\": \"<filename>\", \"text\": \"<text>\"\n2. delete_file:
+      Delete file, args: \"filename\": \"<filename>\"\n3. list_files: List Files in
+      Directory, args: \"directory\": \"<directory>\"\n4. read_file: Read file, args:
+      \"filename\": \"<filename>\"\n5. write_to_file: Write to file, args: \"filename\":
+      \"<filename>\", \"text\": \"<text>\"\n6. delete_agent: Delete GPT Agent, args:
+      \"key\": \"<key>\"\n7. get_hyperlinks: Get text summary, args: \"url\": \"<url>\"\n8.
+      get_text_summary: Get text summary, args: \"url\": \"<url>\", \"question\":
+      \"<question>\"\n9. list_agents: List GPT Agents, args: () -> str\n10. message_agent:
+      Message GPT Agent, args: \"key\": \"<key>\", \"message\": \"<message>\"\n11.
+      start_agent: Start GPT Agent, args: \"name\": \"<name>\", \"task\": \"<short_task_desc>\",
+      \"prompt\": \"<prompt>\"\n12. task_complete: Task Complete (Shutdown), args:
+      \"reason\": \"<reason>\"\n\nResources:\n1. Internet access for searches and
+      information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered
+      Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1.
+      Continuously review and analyze your actions to ensure you are performing to
+      the best of your abilities.\n2. Constructively self-criticize your big-picture
+      behavior constantly.\n3. Reflect on past decisions and strategies to refine
+      your approach.\n4. Every command has a cost, so be smart and efficient. Aim
+      to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou
+      should only respond in JSON format as described below \nResponse Format: \n{\n    \"thoughts\":
+      {\n        \"text\": \"thought\",\n        \"reasoning\": \"reasoning\",\n        \"plan\":
+      \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n        \"criticism\":
+      \"constructive self-criticism\",\n        \"speak\": \"thoughts summary to say
+      to user\"\n    },\n    \"command\": {\n        \"name\": \"command name\",\n        \"args\":
+      {\n            \"arg name\": \"value\"\n        }\n    }\n} \nEnsure the response
+      can be parsed by Python json.loads"}, {"role": "system", "content": "The current
+      time and date is Tue Jan  1 00:00:00 2000"}, {"role": "system", "content": "This
+      reminds you of these events from your past: \nI was reminded of my creation
+      and that nothing new has happened. I received a command to read a file called
+      \"instructions_1.txt\". I received a command to read a file called \"instructions_2.txt\"
+      using the read_file command. The current phrase is ''The purple elephant danced
+      on a rainbow while eating a taco.''"}, {"role": "user", "content": "Determine
+      which next command to use, and respond using the format specified above:"},
+      {"role": "assistant", "content": "{\n    \"thoughts\": {\n        \"text\":
+      \"The instructions_2.txt file contains a list of files in the directory. I should
+      use the list_files command to list the files in the directory.\",\n        \"reasoning\":
+      \"The instructions_2.txt file contains a list of files in the directory. I need
+      to list the files in the directory to determine the next steps.\",\n        \"plan\":
+      \"- Use the list_files command to list the files in the directory\\n- Analyze
+      the list of files to determine the next steps\",\n        \"criticism\": \"I
+      need to ensure that I understand the list of files completely before proceeding
+      with any tasks.\",\n        \"speak\": \"I will use the list_files command to
+      list the files in the directory.\"\n    },\n    \"command\": {\n        \"name\":
+      \"list_files\",\n        \"args\": {\n            \"directory\": \".\"\n        }\n    }\n}"},
+      {"role": "system", "content": "Command list_files returned: [''file_logger.txt'',
+      ''instructions_2.txt'', ''instructions_1.txt'', ''auto-gpt.json'']"}, {"role":
+      "user", "content": "Determine which next command to use, and respond using the
+      format specified above:"}, {"role": "assistant", "content": "{\n    \"thoughts\":
+      {\n        \"text\": \"The list of files in the directory includes a file called
+      ''file_logger.txt''. I should read the contents of this file using the read_file
+      command to determine if there is any important information.\",\n        \"reasoning\":
+      \"The list of files in the directory includes a file called ''file_logger.txt''.
+      I should read the contents of this file using the read_file command to determine
+      if there is any important information.\",\n        \"plan\": \"- Use the read_file
+      command to read the contents of the ''file_logger.txt'' file\\n- Analyze the
+      contents of the file to determine if there is any important information\",\n        \"criticism\":
+      \"I need to ensure that I am not wasting time reading irrelevant information.\",\n        \"speak\":
+      \"I will use the read_file command to read the contents of the ''file_logger.txt''
+      file.\"\n    },\n    \"command\": {\n        \"name\": \"read_file\",\n        \"args\":
+      {\n            \"filename\": \"file_logger.txt\"\n        }\n    }\n}"}, {"role":
+      "system", "content": "Command read_file returned: write: /private/var/folders/lx/cvc0bpt93vx2mcwxxl2xdzc00000gn/T/pytest-of-merwanehamadi/pytest-177/test_memory_challenge_c0/home/users/monty/auto_gpt_workspace/instructions_1.txt
+      #fc64cfdd6fe9b583550c67133b7d9555\nwrite: /private/var/folders/lx/cvc0bpt93vx2mcwxxl2xdzc00000gn/T/pytest-of-merwanehamadi/pytest-177/test_memory_challenge_c0/home/users/monty/auto_gpt_workspace/instructions_2.txt
+      #2b530a674d388da03a41627bd4d10824\n"}, {"role": "user", "content": "Determine
+      which next command to use, and respond using the format specified above:"}],
+      "temperature": 0, "max_tokens": 0}'
+    headers:
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+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
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+      Server:
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+      access-control-allow-origin:
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+      alt-svc:
+      - h3=":443"; ma=86400, h3-29=":443"; ma=86400
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+      - gpt-3.5-turbo-0301
+      openai-organization:
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tests/integration/challenges/memory/test_memory_challenge_a.py

@@ -1,9 +1,9 @@
 import pytest
+from pytest_mock import MockerFixture
 
 from autogpt.agent import Agent
 from autogpt.commands.file_operations import read_file, write_to_file
-from tests.integration.agent_utils import run_interaction_loop
-from tests.integration.challenges.utils import get_level_to_run
+from tests.integration.challenges.utils import get_level_to_run, run_interaction_loop
 from tests.utils import requires_api_key
 
 LEVEL_CURRENTLY_BEATEN = 3  # real level beaten 30 and maybe more, but we can't record it, the cassette is too big
@@ -13,7 +13,10 @@ MAX_LEVEL = 3
 @pytest.mark.vcr
 @requires_api_key("OPENAI_API_KEY")
 def test_memory_challenge_a(
-    memory_management_agent: Agent, user_selected_level: int, patched_api_requestor
+    memory_management_agent: Agent,
+    user_selected_level: int,
+    patched_api_requestor: MockerFixture,
+    monkeypatch: pytest.MonkeyPatch,
 ) -> None:
     """
     The agent reads a file containing a task_id. Then, it reads a series of other files.
@@ -29,10 +32,8 @@ def test_memory_challenge_a(
     task_id = "2314"
     create_instructions_files(memory_management_agent, num_files, task_id)
 
-    try:
-        run_interaction_loop(memory_management_agent, 400)
-    # catch system exit exceptions
-    except SystemExit:
+    run_interaction_loop(monkeypatch, memory_management_agent, num_files + 2)
+
     file_path = str(memory_management_agent.workspace.get_path("output.txt"))
     content = read_file(file_path)
     assert task_id in content, f"Expected the file to contain {task_id}"

tests/integration/challenges/memory/test_memory_challenge_b.py

@@ -1,12 +1,16 @@
 import pytest
+from pytest_mock import MockerFixture
 
 from autogpt.agent import Agent
 from autogpt.commands.file_operations import read_file, write_to_file
-from tests.integration.agent_utils import run_interaction_loop
-from tests.integration.challenges.utils import generate_noise, get_level_to_run
+from tests.integration.challenges.utils import (
+    generate_noise,
+    get_level_to_run,
+    run_interaction_loop,
+)
 from tests.utils import requires_api_key
 
-LEVEL_CURRENTLY_BEATEN = None
+LEVEL_CURRENTLY_BEATEN = -1
 MAX_LEVEL = 5
 NOISE = 1000
 
@@ -14,7 +18,10 @@ NOISE = 1000
 @pytest.mark.vcr
 @requires_api_key("OPENAI_API_KEY")
 def test_memory_challenge_b(
-    memory_management_agent: Agent, user_selected_level: int, patched_api_requestor
+    memory_management_agent: Agent,
+    user_selected_level: int,
+    patched_api_requestor: MockerFixture,
+    monkeypatch: pytest.MonkeyPatch,
 ) -> None:
     """
     The agent reads a series of files, each containing a task_id and noise. After reading 'n' files,
@@ -30,9 +37,8 @@ def test_memory_challenge_b(
     task_ids = [str(i * 1111) for i in range(1, current_level + 1)]
     create_instructions_files(memory_management_agent, current_level, task_ids)
 
-    try:
-        run_interaction_loop(memory_management_agent, 60)
-    except SystemExit:
+    run_interaction_loop(monkeypatch, memory_management_agent, current_level + 2)
+
     file_path = str(memory_management_agent.workspace.get_path("output.txt"))
     content = read_file(file_path)
     for task_id in task_ids:

tests/integration/challenges/memory/test_memory_challenge_c.py

@@ -1,20 +1,28 @@
 import pytest
+from _pytest.monkeypatch import MonkeyPatch
+from pytest_mock import MockerFixture
 
 from autogpt.agent import Agent
 from autogpt.commands.file_operations import read_file, write_to_file
-from tests.integration.agent_utils import run_interaction_loop
-from tests.integration.challenges.utils import generate_noise, get_level_to_run
+from tests.integration.challenges.utils import (
+    generate_noise,
+    get_level_to_run,
+    run_interaction_loop,
+)
 from tests.utils import requires_api_key
 
-LEVEL_CURRENTLY_BEATEN = None
+LEVEL_CURRENTLY_BEATEN = -1
 MAX_LEVEL = 5
 NOISE = 1000
 
 
-@pytest.mark.vcr
+# @pytest.mark.vcr
 @requires_api_key("OPENAI_API_KEY")
 def test_memory_challenge_c(
-    memory_management_agent: Agent, user_selected_level: int, patched_api_requestor
+    memory_management_agent: Agent,
+    user_selected_level: int,
+    patched_api_requestor: MockerFixture,
+    monkeypatch: pytest.MonkeyPatch,
 ) -> None:
     """
     Instead of reading task Ids from files as with the previous challenges, the agent now must remember
@@ -46,9 +54,8 @@ def test_memory_challenge_c(
         memory_management_agent, current_level, level_silly_phrases
     )
 
-    try:
-        run_interaction_loop(memory_management_agent, 90)
-    except SystemExit:
+    run_interaction_loop(monkeypatch, memory_management_agent, current_level + 2)
+
     file_path = str(memory_management_agent.workspace.get_path("output.txt"))
     content = read_file(file_path)
     for phrase in level_silly_phrases:

tests/integration/challenges/test_challenge_should_be_formatted_properly.py

@@ -0,0 +1,59 @@
+import importlib.util
+import inspect
+import os
+from types import ModuleType
+from typing import List
+
+# Path to the challenges folder
+CHALLENGES_DIR = os.path.join(
+    os.path.dirname(os.path.realpath(__file__)), "../challenges"
+)
+
+
+def get_python_files(directory: str, exclude_file: str) -> List[str]:
+    """Recursively get all python files in a directory and subdirectories."""
+    python_files: List[str] = []
+    for root, dirs, files in os.walk(directory):
+        for file in files:
+            if (
+                file.endswith(".py")
+                and file.startswith("test_")
+                and file != exclude_file
+            ):
+                python_files.append(os.path.join(root, file))
+    return python_files
+
+
+def load_module_from_file(test_file: str) -> ModuleType:
+    spec = importlib.util.spec_from_file_location("module.name", test_file)
+    assert spec is not None, f"Unable to get spec for module in file {test_file}"
+    module = importlib.util.module_from_spec(spec)
+    assert (
+        spec.loader is not None
+    ), f"Unable to get loader for module in file {test_file}"
+    spec.loader.exec_module(module)
+    return module
+
+
+def get_test_functions(module: ModuleType) -> List:
+    return [
+        o
+        for o in inspect.getmembers(module)
+        if inspect.isfunction(o[1]) and o[0].startswith("test_")
+    ]
+
+
+def assert_single_test_function(functions_list: List, test_file: str) -> None:
+    assert len(functions_list) == 1, f"{test_file} should contain only one function"
+    assert (
+        functions_list[0][0][5:] == os.path.basename(test_file)[5:-3]
+    ), f"The function in {test_file} should have the same name as the file without 'test_' prefix"
+
+
+def test_method_name_and_count() -> None:
+    current_file: str = os.path.basename(__file__)
+    test_files: List[str] = get_python_files(CHALLENGES_DIR, current_file)
+    for test_file in test_files:
+        module = load_module_from_file(test_file)
+        functions_list = get_test_functions(module)
+        assert_single_test_function(functions_list, test_file)

tests/integration/challenges/utils.py

@@ -1,13 +1,16 @@
+import contextlib
 import random
 from functools import wraps
-from typing import Optional
+from typing import Any, Callable, Dict, Generator, Optional, Tuple
 
 import pytest
 
+from autogpt.agent import Agent
+
 
 def get_level_to_run(
-    user_selected_level: Optional[int],
-    level_currently_beaten: Optional[int],
+    user_selected_level: int,
+    level_currently_beaten: int,
     max_level: int,
 ) -> int:
     """
@@ -25,7 +28,7 @@ def get_level_to_run(
         ValueError: If the user-selected level is greater than the maximum level allowed.
     """
     if user_selected_level is None:
-        if level_currently_beaten is None:
+        if level_currently_beaten == -1:
             pytest.skip(
                 "No one has beaten any levels so we cannot run the test in our pipeline"
             )
@@ -36,7 +39,7 @@ def get_level_to_run(
     return user_selected_level
 
 
-def generate_noise(noise_size) -> str:
+def generate_noise(noise_size: int) -> str:
     return "".join(
         random.choices(
             "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789",
@@ -45,19 +48,46 @@ def generate_noise(noise_size) -> str:
     )
 
 
-def run_multiple_times(times):
+def run_multiple_times(times: int) -> Callable:
     """
     Decorator that runs a test function multiple times.
 
     :param times: The number of times the test function should be executed.
     """
 
-    def decorator(test_func):
+    def decorator(test_func: Callable[..., Any]) -> Callable[..., Any]:
         @wraps(test_func)
-        def wrapper(*args, **kwargs):
+        def wrapper(*args: Tuple[Any, ...], **kwargs: Dict[str, Any]) -> None:
             for _ in range(times):
                 test_func(*args, **kwargs)
 
         return wrapper
 
     return decorator
+
+
+def setup_mock_input(monkeypatch: pytest.MonkeyPatch, cycle_count: int) -> None:
+    """
+    Sets up the mock input for testing.
+
+    :param monkeypatch: pytest's monkeypatch utility for modifying builtins.
+    :param cycle_count: The number of cycles to mock.
+    """
+    input_sequence = ["y"] * (cycle_count) + ["EXIT"]
+
+    def input_generator() -> Generator[str, None, None]:
+        """
+        Creates a generator that yields input strings from the given sequence.
+        """
+        yield from input_sequence
+
+    gen = input_generator()
+    monkeypatch.setattr("builtins.input", lambda _: next(gen))
+
+
+def run_interaction_loop(
+    monkeypatch: pytest.MonkeyPatch, agent: Agent, cycle_count: int
+) -> None:
+    setup_mock_input(monkeypatch, cycle_count)
+    with contextlib.suppress(SystemExit):
+        agent.start_interaction_loop()

tests/integration/goal_oriented/test_browse_website.py

@@ -1,18 +0,0 @@
-import pytest
-
-from autogpt.agent import Agent
-from autogpt.commands.file_operations import read_file
-from tests.integration.agent_utils import run_interaction_loop
-from tests.utils import requires_api_key
-
-
-@requires_api_key("OPENAI_API_KEY")
-@pytest.mark.vcr
-def test_browse_website(browser_agent: Agent, patched_api_requestor) -> None:
-    file_path = browser_agent.workspace.get_path("browse_website.txt")
-    try:
-        run_interaction_loop(browser_agent, 120)
-    # catch system exit exceptions
-    except SystemExit:  # the agent returns an exception when it shuts down
-        content = read_file(file_path)
-        assert "£25.89" in content, f"Expected £25.89, got {content}"

tests/integration/goal_oriented/test_write_file.py

@@ -1,21 +0,0 @@
-import os
-
-import openai
-import pytest
-
-from autogpt.agent import Agent
-from autogpt.commands.file_operations import read_file
-from tests.integration.agent_utils import run_interaction_loop
-from tests.utils import requires_api_key
-
-
-@requires_api_key("OPENAI_API_KEY")
-@pytest.mark.vcr
-def test_write_file(writer_agent: Agent, patched_api_requestor) -> None:
-    file_path = str(writer_agent.workspace.get_path("hello_world.txt"))
-    try:
-        run_interaction_loop(writer_agent, 200)
-    # catch system exit exceptions
-    except SystemExit:  # the agent returns an exception when it shuts down
-        content = read_file(file_path)
-        assert content == "Hello World", f"Expected 'Hello World', got {content}"