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Integrate benchmark and autogpt (#5208)

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Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com>
This commit is contained in:
merwanehamadi
2023-09-12 19:30:45 -07:00
committed by GitHub
parent 69dadee416
commit b2fc8f2a06
5 changed files with 20 additions and 22 deletions
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2
autogpts/autogpt/agbenchmark_config/config.json
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@@ -1 +1 @@
{"workspace": "auto_gpt_workspace", "entry_path": "agbenchmark.benchmarks"} {"workspace": {"input": "auto_gpt_workspace", "output":"auto_gpt_workspace" }, "entry_path": "agbenchmark.benchmarks"}

3
autogpts/autogpt/challenges_already_beaten.json Normal file
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@@ -0,0 +1,3 @@
{
"TestWriteFile": true
}

8
benchmark/agbenchmark/agent_interface.py
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@@ -75,19 +75,15 @@ def run_windows_env(process: Any, start_time: float, timeout: float) -> None:
def run_agent(task: str, timeout: int, agent_config: AgentBenchmarkConfig) -> None: def run_agent(task: str, timeout: int, agent_config: AgentBenchmarkConfig) -> None:
"""Calling to get a response""" print(f"Running agbenchmark/benchmarks.py with timeout {timeout}")
entry_path = agent_config.get_agent_entry_path() command = [sys.executable, "-m", "agbenchmark_config.benchmarks", str(task)]
print(f"Running '{entry_path}' with timeout {timeout}")
command = [sys.executable, entry_path, str(task)]
process = subprocess.Popen( process = subprocess.Popen(
command, command,
stdout=subprocess.PIPE, stdout=subprocess.PIPE,
stderr=subprocess.STDOUT, stderr=subprocess.STDOUT,
universal_newlines=True, universal_newlines=True,
cwd=agent_config.get_agent_directory(),
bufsize=1, bufsize=1,
) )

23
benchmark/agbenchmark/conftest.py
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@@ -53,7 +53,7 @@ def load_config_from_request(request: Any) -> AgentBenchmarkConfig:
raise raise
def resolve_workspace(workspace: Path) -> Path: def resolve_workspace_path(workspace: Path) -> Path:
""" """
This function resolves the workspace path. This function resolves the workspace path.
@@ -83,10 +83,10 @@ def resolve_workspace(workspace: Path) -> Path:
return path_value return path_value
else: else:
raise ValueError("Invalid workspace path expression.") raise ValueError("Invalid workspace path expression.")
elif isinstance(workspace, Path): elif isinstance(workspace, str):
return os.path.abspath(workspace) return os.path.abspath(Path.cwd() / workspace)
else: else:
raise ValueError("Invalid workspace type. Expected str or Path.") raise ValueError("Invalid workspace type. Expected str")
@pytest.fixture(scope="module") @pytest.fixture(scope="module")
@@ -119,15 +119,12 @@ def config(request: Any) -> Any:
config["AgentBenchmarkConfig"] = agent_benchmark_config config["AgentBenchmarkConfig"] = agent_benchmark_config
if isinstance(config["workspace"], str): config["workspace"]["input"] = resolve_workspace_path(
config["workspace"] = resolve_workspace(agent_benchmark_config.workspace) agent_benchmark_config.workspace.input
else: # it's a input output dict )
config["workspace"]["input"] = resolve_workspace( config["workspace"]["output"] = resolve_workspace_path(
agent_benchmark_config.workspace / "input" agent_benchmark_config.workspace.output
) )
config["workspace"]["output"] = resolve_workspace(
agent_benchmark_config.workspace / "output"
)
return config return config

6
benchmark/agbenchmark/utils/data_types.py
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@@ -17,7 +17,9 @@ class DifficultyLevel(Enum):
expert = "expert" expert = "expert"
human = "human" human = "human"
class Workspace(BaseModel):
input: str
output: str
# map from enum to difficulty level (numeric) # map from enum to difficulty level (numeric)
DIFFICULTY_MAP = { DIFFICULTY_MAP = {
DifficultyLevel.interface: 1, DifficultyLevel.interface: 1,
@@ -85,7 +87,7 @@ class AgentBenchmarkConfig(BaseModel):
agent_benchmark_config_path: Path | None = None agent_benchmark_config_path: Path | None = None
entry_path: str entry_path: str
workspace: Path workspace: Workspace
reports_folder: Path | None = None reports_folder: Path | None = None
api_mode: bool = False api_mode: bool = False
host: str | None host: str | None