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Restructure workflow/ for multi-language plugin support:
- Rename src/ to core/ (engine code: DAG executor, registry, types)
- Create executor/{cpp,python,ts}/ for language-specific runtimes
- Consolidate plugins to plugins/{ts,python}/ by language then category
Add 80+ Python plugins from AutoMetabuilder in 14 categories:
- control: bot control, switch logic, state management
- convert: type conversions (json, boolean, dict, list, number, string)
- core: AI requests, context management, tool calls
- dict: dictionary operations (get, set, keys, values, merge)
- list: list operations (concat, find, sort, slice, filter)
- logic: boolean logic (and, or, xor, equals, comparisons)
- math: arithmetic operations (add, subtract, multiply, power, etc.)
- string: string manipulation (concat, split, replace, format)
- notifications: Slack, Discord integrations
- test: assertion helpers and test suite runner
- tools: file operations, git, docker, testing utilities
- utils: filtering, mapping, reducing, condition branching
- var: variable store operations (get, set, delete, exists)
- web: Flask server, environment variables, JSON handling
Add language executor runtimes:
- TypeScript: direct import execution (default, fast startup)
- Python: child process with JSON stdin/stdout communication
- C++: placeholder for native FFI bindings (Phase 3)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
"""Workflow plugin: run command in Docker container."""
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import subprocess
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import os
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import logging
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logger = logging.getLogger("metabuilder.docker")
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def _run_command_in_docker(image: str, command: str, volumes: dict = None, workdir: str = None):
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"""Run a command inside a Docker container.
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:param image: Docker image to use.
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:param command: Command to execute.
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:param volumes: Dictionary of volume mappings {host_path: container_path}.
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:param workdir: Working directory inside the container.
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:return: Standard output of the command.
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"""
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docker_command = ["docker", "run", "--rm"]
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if volumes:
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for host_path, container_path in volumes.items():
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docker_command.extend(["-v", f"{os.path.abspath(host_path)}:{container_path}"])
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if workdir:
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docker_command.extend(["-w", workdir])
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docker_command.append(image)
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docker_command.extend(["sh", "-c", command])
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logger.info(f"Executing in Docker ({image}): {command}")
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result = subprocess.run(docker_command, capture_output=True, text=True, check=False)
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output = result.stdout
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if result.stderr:
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output += "\n" + result.stderr
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logger.info(output)
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return output
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def run(_runtime, inputs):
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"""Run a command inside a Docker container.
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Inputs:
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- image: Docker image to use
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- command: Command to execute
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- volumes: Optional dict of volume mappings {host_path: container_path}
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- workdir: Optional working directory inside the container
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"""
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image = inputs.get("image")
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command = inputs.get("command")
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volumes = inputs.get("volumes")
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workdir = inputs.get("workdir")
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if not image or not command:
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return {"error": "Both 'image' and 'command' are required"}
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output = _run_command_in_docker(image, command, volumes, workdir)
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return {"output": output}
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