Convert to python module named autogpt.

Also fixed the Dockerfile.
Converting to module makes development easier.
Fixes coverage script in CI and test imports.

autogpt/execute_code.py

@@ -0,0 +1,99 @@
+import docker
+import os
+import subprocess
+
+
+WORKSPACE_FOLDER = "auto_gpt_workspace"
+
+
+def execute_python_file(file):
+    """Execute a Python file in a Docker container and return the output"""
+
+    print (f"Executing file '{file}' in workspace '{WORKSPACE_FOLDER}'")
+
+    if not file.endswith(".py"):
+        return "Error: Invalid file type. Only .py files are allowed."
+
+    file_path = os.path.join(WORKSPACE_FOLDER, file)
+
+    if not os.path.isfile(file_path):
+        return f"Error: File '{file}' does not exist."
+
+    if we_are_running_in_a_docker_container():
+        result = subprocess.run(f'python {file_path}', capture_output=True, encoding="utf8", shell=True)
+        if result.returncode == 0:
+            return result.stdout
+        else:
+            return f"Error: {result.stderr}"
+    else:
+        try:
+            client = docker.from_env()
+
+            image_name = 'python:3.10'
+            try:
+                client.images.get(image_name)
+                print(f"Image '{image_name}' found locally")
+            except docker.errors.ImageNotFound:
+                print(f"Image '{image_name}' not found locally, pulling from Docker Hub")
+                # Use the low-level API to stream the pull response
+                low_level_client = docker.APIClient()
+                for line in low_level_client.pull(image_name, stream=True, decode=True):
+                    # Print the status and progress, if available
+                    status = line.get('status')
+                    progress = line.get('progress')
+                    if status and progress:
+                        print(f"{status}: {progress}")
+                    elif status:
+                        print(status)
+
+            # You can replace 'python:3.8' with the desired Python image/version
+            # You can find available Python images on Docker Hub:
+            # https://hub.docker.com/_/python
+            container = client.containers.run(
+                image_name,
+                f'python {file}',
+                volumes={
+                    os.path.abspath(WORKSPACE_FOLDER): {
+                        'bind': '/workspace',
+                        'mode': 'ro'}},
+                working_dir='/workspace',
+                stderr=True,
+                stdout=True,
+                detach=True,
+            )
+
+            output = container.wait()
+            logs = container.logs().decode('utf-8')
+            container.remove()
+
+            # print(f"Execution complete. Output: {output}")
+            # print(f"Logs: {logs}")
+
+            return logs
+
+        except Exception as e:
+            return f"Error: {str(e)}"
+
+
+def execute_shell(command_line):
+
+    current_dir = os.getcwd()
+
+    if not WORKSPACE_FOLDER in current_dir: # Change dir into workspace if necessary
+        work_dir = os.path.join(os.getcwd(), WORKSPACE_FOLDER)
+        os.chdir(work_dir)
+
+    print (f"Executing command '{command_line}' in working directory '{os.getcwd()}'")
+
+    result = subprocess.run(command_line, capture_output=True, shell=True)
+    output = f"STDOUT:\n{result.stdout}\nSTDERR:\n{result.stderr}"
+
+    # Change back to whatever the prior working dir was
+
+    os.chdir(current_dir)
+
+    return output
+
+
+def we_are_running_in_a_docker_container():
+    os.path.exists('/.dockerenv')