clean: Remove Depreciated Challenges

[Swiftyos]

User description

Deleting the Depreciated Challenges as why are they here anyway!?

Also there are code errors in the depreciated challenge's which make the unparseable by linters and formatters

like:

import from

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PR Type

Enhancement, Bug fix

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Description

• Removed all deprecated challenge files and directories from the benchmark project, cleaning up the repository and improving maintainability.
• Updated the authors field in pyproject.toml to reflect the current team, "AutoGPT Team".
• Updated the copyright year in the LICENSE file to 2024, ensuring legal accuracy.

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Changes walkthrough 📝

	Relevant files
Configuration changes	pyproject.toml Update Project Author in pyproject.toml                                    benchmark/pyproject.toml Updated the authors field from "Silen Naihin" to "AutoGPT Team". +1/-1
Documentation	LICENSE Update Copyright Year in LICENSE                                                  benchmark/LICENSE Updated the copyright year from 2023 to 2024. +1/-1

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✅ Deploy Preview for auto-gpt-docs canceled.

Name	Link
🔨 Latest commit	7230e13
🔍 Latest deploy log	https://app.netlify.com/sites/auto-gpt-docs/deploys/663f2105e989420008abc8d1

[codiumai-pr-agent-pro]

PR Description updated to latest commit (7230e13)

• Copy walkthrough table to "Files Changed" Tab

[codiumai-pr-agent-pro]

PR Review 🔍

⏱️ Estimated effort to review [1-5]	2, because the changes are straightforward, involving simple updates to metadata files and the removal of deprecated files. The scope is limited and does not involve complex logic changes.
🧪 Relevant tests	No
⚡ Possible issues	No
🔒 Security concerns	No

[codiumai-pr-agent-pro]

PR Code Suggestions ✨

Category	Suggestions
Legal	Verify the legality of the copyright change. Ensure that the copyright change from "Silen Naihin" to "AutoGPT" is legally verified and approved. This change might involve legal implications that need to be addressed to avoid copyright infringement or disputes. benchmark/LICENSE [3] -Copyright (c) 2024 AutoGPT +Copyright (c) 2024 AutoGPT (pending legal verification)
Maintainability	Include all contributors in the authors field. Update the authors field to include both the new and previous contributors, unless there is a specific reason to remove the original author. This helps in maintaining a clear record of contributions. benchmark/pyproject.toml [5] -authors = ["AutoGPT Team"] +authors = ["AutoGPT Team", "Silen Naihin <silen.naihin@gmail.com>"]

[codiumai-pr-agent-pro]

Changelog updates: 🔄

2024-05-11

Removed

• Removed all deprecated challenge files and directories, enhancing project cleanliness and maintainability.

Changed

• Updated the authors field in pyproject.toml to "AutoGPT Team".
• Updated the copyright year in the LICENSE file to 2024.

to commit the new content to the CHANGELOG.md file, please type:
'/update_changelog --pr_update_changelog.push_changelog_changes=true'

[codiumai-pr-agent-pro]

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CI Failure Feedback 🧐

Action: tests-agbenchmark (forge)

Failed stage: Run regression tests [❌]

Failure summary: The action failed due to a ValueError raised during the pytest collection phase. The error was triggered by the validate_skill_tree function, which found multiple roots in the skill tree. This indicates that the skill tree structure was not correctly defined, as it should have a single root. The presence of multiple roots in the skill tree led to the failure of the test collection process, resulting in no tests being run.

Relevant error logs: 1: ##[group]Operating System 2: Ubuntu ... 232: �[36;1m�[0m 233: �[36;1mecho "Running the following command: poetry run agbenchmark --mock --category=coding"�[0m 234: �[36;1mpoetry run agbenchmark --mock --category=coding�[0m 235: �[36;1m�[0m 236: �[36;1mecho "Running the following command: poetry run agbenchmark --test=WriteFile"�[0m 237: �[36;1mpoetry run agbenchmark --test=WriteFile�[0m 238: �[36;1mcd ../../benchmark�[0m 239: �[36;1mpoetry install�[0m 240: �[36;1mecho "Adding the BUILD_SKILL_TREE environment variable. This will attempt to add new elements in the skill tree. If new elements are added, the CI fails because they should have been pushed"�[0m ... 491: 888 "Y88P" 888 "Y88888 "Y8888 492: 888 493: Y8b d88P 494: "Y88P" v0.1.0 495: [2024-05-11 07:42:12,180] [�[1m�[90mwatchfiles.main�[0m�[0m] [�[94mINFO�[0m] �[94m📝 16 changes detected�[0m 496: ✅ Agent application started and available on port 8000 497: Running the following command: poetry run agbenchmark --maintain --mock 498: [2024-05-11 07:42:12,532] [�[1m�[90mwatchfiles.main�[0m�[0m] [�[94mINFO�[0m] �[94m📝 3 changes detected�[0m 499: [2024-05-11 07:42:14,462] �[34mINFO �[0m Failed to extract font properties from /usr/share/fonts/truetype/noto/NotoColorEmoji.ttf: In FT2Font: Can not load face (unknown file format; error code 0x2) ... 768: [2024-05-11 07:42:20,418] [�[1m�[90mforge.agent �[0m�[0m] [�[94mINFO�[0m] �[94m📝 📦 Task created: a7935256-afaa-4599-9d0a-8ea56bd906d1 input: Create a random password generator. The ...�[0m 769: [2024-05-11 07:42:20,425] [�[1m�[90mforge.agent �[0m�[0m] [�[94mINFO�[0m] �[94m📝 ✅ Final Step completed: f53f3664-9477-4e4b-996d-ab682c94a5de. 770: Output should be placeholder text Washington D.C. You'll need to 771: modify execute_step to include LLM behavior. Follow the tutorial if confused. �[0m 772: [2024-05-11 07:42:20,496] [�[1m�[90mwatchfiles.main�[0m�[0m] [�[94mINFO�[0m] �[94m📝 65 changes detected�[0m 773: ../../../../../.cache/pypoetry/virtualenvs/autogpt-forge-91r9A6WA-py3.10/lib/python3.10/site-packages/agbenchmark/generate_test.py::TestPasswordGenerator::test_method[0] 774: �[35m�[1m======================== Starting PasswordGenerator challenge ========================�[0m 775: �[36mTimeout:�[39m 90 seconds 776: �[36mTask:�[39m Create a random password generator. The password should have between 8 and 16 characters and should contain at least one letter, number and symbol. The password should be printed to the console. The entry point will be a python file that can be run this way: python password_generator.py [--length x] where x is the length of the password. If no length is specified, the password should be 8 characters long. The password_generator can also be imported as a module and called as password = password_generator.generate_password(length=x). Any invalid input should raise a ValueError. ... 1087: class ShipPlacement(BaseModel): 1088: ship_type: str 1089: start: dict # {"row": int, "column": str} 1090: direction: str 1091: @validator("start") 1092: def validate_start(cls, start): 1093: row, column = start.get("row"), start.get("column") 1094: if not (1 <= row <= 10): 1095: raise ValueError("Row must be between 1 and 10 inclusive.") 1096: if column not in list("ABCDEFGHIJ"): 1097: raise ValueError("Column must be one of A, B, C, D, E, F, G, H, I, J.") ... 1410: PASSED 1411: [2024-05-11 07:42:29,421] [�[1m�[90mforge.agent �[0m�[0m] [�[94mINFO�[0m] �[94m📝 📦 Task created: d52bf206-ec7b-4993-9fc3-25e9cab2ba88 input: Create a random password generator. The ...�[0m 1412: [2024-05-11 07:42:29,428] [�[1m�[90mforge.agent �[0m�[0m] [�[94mINFO�[0m] �[94m📝 ✅ Final Step completed: c1b49493-d695-4804-80f3-633adfbbccc0. 1413: Output should be placeholder text Washington D.C. You'll need to 1414: modify execute_step to include LLM behavior. Follow the tutorial if confused. �[0m 1415: ../../../../../.cache/pypoetry/virtualenvs/autogpt-forge-91r9A6WA-py3.10/lib/python3.10/site-packages/agbenchmark/generate_test.py::TestPasswordGenerator::test_method[0] 1416: �[35m�[1m======================== Starting PasswordGenerator challenge ========================�[0m 1417: �[36mTimeout:�[39m 90 seconds 1418: �[36mTask:�[39m Create a random password generator. The password should have between 8 and 16 characters and should contain at least one letter, number and symbol. The password should be printed to the console. The entry point will be a python file that can be run this way: python password_generator.py [--length x] where x is the length of the password. If no length is specified, the password should be 8 characters long. The password_generator can also be imported as a module and called as password = password_generator.generate_password(length=x). Any invalid input should raise a ValueError. ... 1541: class ShipPlacement(BaseModel): 1542: ship_type: str 1543: start: dict # {"row": int, "column": str} 1544: direction: str 1545: @validator("start") 1546: def validate_start(cls, start): 1547: row, column = start.get("row"), start.get("column") 1548: if not (1 <= row <= 10): 1549: raise ValueError("Row must be between 1 and 10 inclusive.") 1550: if column not in list("ABCDEFGHIJ"): 1551: raise ValueError("Column must be one of A, B, C, D, E, F, G, H, I, J.") ... 1785: - Installing python-multipart (0.0.7) 1786: - Installing pyvis (0.3.2) 1787: - Installing selenium (4.16.0) 1788: - Installing tabulate (0.9.0) 1789: - Installing toml (0.10.2) 1790: - Installing types-requests (2.31.0.6) 1791: - Installing uvicorn (0.23.2) 1792: Installing the current project: agbenchmark (0.0.10) 1793: Adding the BUILD_SKILL_TREE environment variable. This will attempt to add new elements in the skill tree. If new elements are added, the CI fails because they should have been pushed ... 1800: ============================= test session starts ============================== 1801: platform linux -- Python 3.10.14, pytest-7.4.4, pluggy-1.3.0 1802: rootdir: /home/runner/work/AutoGPT/AutoGPT/benchmark 1803: configfile: pyproject.toml 1804: plugins: anyio-4.2.0, asyncio-0.21.1 1805: asyncio: mode=auto 1806: Warning: When cdn_resources is 'local' jupyter notebook has issues displaying graphics on chrome/safari. Use cdn_resources='in_line' or cdn_resources='remote' if you have issues viewing graphics in a notebook. 1807: collected 33 items 1808: INTERNALERROR> Traceback (most recent call last): 1809: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/_pytest/main.py", line 271, in wrap_session 1810: INTERNALERROR> session.exitstatus = doit(config, session) or 0 1811: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/_pytest/main.py", line 324, in _main 1812: INTERNALERROR> config.hook.pytest_collection(session=session) 1813: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/pluggy/_hooks.py", line 493, in __call__ 1814: INTERNALERROR> return self._hookexec(self.name, self._hookimpls, kwargs, firstresult) 1815: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/pluggy/_manager.py", line 115, in _hookexec 1816: INTERNALERROR> return self._inner_hookexec(hook_name, methods, kwargs, firstresult) 1817: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/pluggy/_callers.py", line 152, in _multicall 1818: INTERNALERROR> return outcome.get_result() 1819: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/pluggy/_result.py", line 114, in get_result 1820: INTERNALERROR> raise exc.with_traceback(exc.__traceback__) 1821: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/pluggy/_callers.py", line 77, in _multicall 1822: INTERNALERROR> res = hook_impl.function(*args) 1823: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/_pytest/main.py", line 335, in pytest_collection 1824: INTERNALERROR> session.perform_collect() 1825: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/_pytest/main.py", line 678, in perform_collect 1826: INTERNALERROR> hook.pytest_collection_modifyitems( 1827: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/pluggy/_hooks.py", line 493, in __call__ 1828: INTERNALERROR> return self._hookexec(self.name, self._hookimpls, kwargs, firstresult) 1829: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/pluggy/_manager.py", line 115, in _hookexec 1830: INTERNALERROR> return self._inner_hookexec(hook_name, methods, kwargs, firstresult) 1831: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/pluggy/_callers.py", line 152, in _multicall 1832: INTERNALERROR> return outcome.get_result() 1833: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/pluggy/_result.py", line 114, in get_result 1834: INTERNALERROR> raise exc.with_traceback(exc.__traceback__) 1835: INTERNALERROR> File "/home/runner/.cache/pypoetry/virtualenvs/agbenchmark-uSLv8lPB-py3.10/lib/python3.10/site-packages/pluggy/_callers.py", line 77, in _multicall 1836: INTERNALERROR> res = hook_impl.function(*args) 1837: INTERNALERROR> File "/home/runner/work/AutoGPT/AutoGPT/benchmark/agbenchmark/utils/dependencies/__init__.py", line 157, in pytest_collection_modifyitems 1838: INTERNALERROR> items[:] = manager.sorted_items 1839: INTERNALERROR> File "/home/runner/work/AutoGPT/AutoGPT/benchmark/agbenchmark/utils/dependencies/main.py", line 230, in sorted_items 1840: INTERNALERROR> graph_interactive_network(dag, labels, html_graph_path="") 1841: INTERNALERROR> File "/home/runner/work/AutoGPT/AutoGPT/benchmark/agbenchmark/utils/dependencies/graphs.py", line 293, in graph_interactive_network 1842: INTERNALERROR> validate_skill_tree(graph_data, "") 1843: INTERNALERROR> File "/home/runner/work/AutoGPT/AutoGPT/benchmark/agbenchmark/utils/dependencies/graphs.py", line 443, in validate_skill_tree 1844: INTERNALERROR> raise ValueError(f"{skill_tree_name} skill tree has multiple roots: {roots}.") 1845: INTERNALERROR> ValueError: skill tree has multiple roots: ['agbenchmark/generate_test.py::TestWriteFile::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_27::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_4::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_112::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_6::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_124::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_11::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_0::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_77::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_163::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_21::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_43::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_107::test_method[0]', 'agbenchmark/generate_test.py::TestWebArenaTask_95::test_method[0]']. 1846: ============================ no tests ran in 0.05s ============================= 1847: ##[error]Process completed with exit code 3.

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[kcze]

Good