Integrate benchmark and autogpt

Signed-off-by: Merwane Hamadi <[email protected]>

autogpts/autogpt/agbenchmark_config/config.json

@@ -1 +1 @@
-{"workspace": "auto_gpt_workspace", "entry_path": "agbenchmark.benchmarks"}
+{"workspace": {"input": "auto_gpt_workspace", "output":"auto_gpt_workspace"  }, "entry_path": "agbenchmark.benchmarks"}

autogpts/autogpt/challenges_already_beaten.json

@@ -0,0 +1,3 @@
+{
+    "TestWriteFile": true
+}

benchmark/agbenchmark/agent_interface.py

@@ -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:
-    """Calling to get a response"""
+    print(f"Running agbenchmark/benchmarks.py with timeout {timeout}")
 
-    entry_path = agent_config.get_agent_entry_path()
-    print(f"Running '{entry_path}' with timeout {timeout}")
-
-    command = [sys.executable, entry_path, str(task)]
+    command = [sys.executable, "-m", "agbenchmark_config.benchmarks", str(task)]
 
     process = subprocess.Popen(
         command,
         stdout=subprocess.PIPE,
         stderr=subprocess.STDOUT,
         universal_newlines=True,
-        cwd=agent_config.get_agent_directory(),
         bufsize=1,
     )
 

benchmark/agbenchmark/conftest.py

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

benchmark/agbenchmark/utils/data_types.py

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