feat: add pitrader_script step type + image vision for pipeline triggers
Add pitrader_script executor for running PITrader scripts (pi-scan, playbook, execute_trades) as pipeline steps with vault credential injection and JSON output capture. Extend claude_prompt step with vision support (image_b64 in trigger context). Add image pipeline trigger to on_image_message handler. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -7,6 +7,7 @@ from .claude_prompt import execute_claude_prompt
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from .template import execute_template
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from .api_call import execute_api_call
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from .skyvern import execute_skyvern
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from .pitrader_step import execute_pitrader
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logger = logging.getLogger(__name__)
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@@ -16,6 +17,7 @@ STEP_EXECUTORS = {
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"template": execute_template,
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"api_call": execute_api_call,
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"skyvern": execute_skyvern,
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"pitrader_script": execute_pitrader,
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}
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@@ -7,12 +7,17 @@ logger = logging.getLogger(__name__)
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async def execute_claude_prompt(
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config: dict,
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context: dict | None = None,
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llm=None,
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default_model: str = "claude-haiku",
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escalation_model: str = "claude-sonnet",
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**_kwargs,
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) -> str:
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"""Send a prompt to Claude and return the response."""
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"""Send a prompt to Claude and return the response.
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Supports vision: if config contains 'image_b64' or trigger context has
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'image_b64', the image is included as a vision content block.
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"""
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if not llm:
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raise RuntimeError("LLM client not configured")
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@@ -23,9 +28,34 @@ async def execute_claude_prompt(
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model_name = config.get("model", "default")
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model = escalation_model if model_name == "escalation" else default_model
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# Check for image data (from config or trigger context)
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image_b64 = config.get("image_b64", "")
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image_mime = config.get("image_mime", "image/png")
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if not image_b64 and context:
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trigger = context.get("trigger", {})
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image_b64 = trigger.get("image_b64", "")
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image_mime = trigger.get("mime_type", "image/png")
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# Build message content
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if image_b64:
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content = [
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{
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"type": "image_url",
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"image_url": {
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"url": f"data:{image_mime};base64,{image_b64}",
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},
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},
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{
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"type": "text",
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"text": prompt,
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},
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]
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else:
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content = prompt
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response = await llm.chat.completions.create(
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model=model,
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messages=[{"role": "user", "content": prompt}],
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messages=[{"role": "user", "content": content}],
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max_tokens=4096,
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)
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110
pipelines/steps/pitrader_step.py
Normal file
110
pipelines/steps/pitrader_step.py
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@@ -0,0 +1,110 @@
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"""PITrader step — execute PITrader scripts with JSON output capture."""
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import asyncio
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import json
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import logging
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import os
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logger = logging.getLogger(__name__)
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PITRADER_DIR = os.environ.get("PITRADER_DIR", os.path.expanduser("~/Development/Apps/PITrader"))
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async def execute_pitrader(config: dict, **_kwargs) -> str:
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"""Execute a PITrader script and return JSON output.
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Config fields:
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script: Script path relative to PITrader dir (e.g., "scripts/pi-scan")
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or absolute path
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args: List of CLI arguments (default: [])
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timeout_s: Override timeout in seconds (default: 300)
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json_output: If true, append --json flag (default: true)
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env: Extra environment variables dict (default: {})
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"""
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script = config.get("script", "")
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if not script:
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raise ValueError("pitrader_script step requires 'script' field")
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args = config.get("args", [])
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if isinstance(args, str):
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args = args.split()
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json_output = config.get("json_output", True)
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extra_env = config.get("env", {})
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timeout_s = config.get("timeout_s", 300)
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# Build command
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if not os.path.isabs(script):
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script = os.path.join(PITRADER_DIR, script)
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cmd_parts = [script] + args
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if json_output and "--json" not in args:
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cmd_parts.append("--json")
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cmd = " ".join(cmd_parts)
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logger.info("PITrader step: %s (cwd=%s, timeout=%ds)", cmd, PITRADER_DIR, timeout_s)
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# Build environment: inherit current + PYTHONPATH for imports + extras
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env = os.environ.copy()
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env["PYTHONPATH"] = PITRADER_DIR + os.pathsep + env.get("PYTHONPATH", "")
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env.update(extra_env)
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# Fetch vault credentials if not already in env
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if "ETORO_API_KEY" not in env:
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try:
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vault_proc = await asyncio.create_subprocess_exec(
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"vault", "get", "etoro.api_key",
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE,
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)
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stdout, _ = await asyncio.wait_for(vault_proc.communicate(), timeout=10)
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if vault_proc.returncode == 0:
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env["ETORO_API_KEY"] = stdout.decode().strip()
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except Exception:
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logger.debug("Could not fetch etoro.api_key from vault")
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if "ETORO_USER_KEY" not in env:
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try:
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vault_proc = await asyncio.create_subprocess_exec(
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"vault", "get", "etoro.user_key",
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE,
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)
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stdout, _ = await asyncio.wait_for(vault_proc.communicate(), timeout=10)
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if vault_proc.returncode == 0:
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env["ETORO_USER_KEY"] = stdout.decode().strip()
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except Exception:
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logger.debug("Could not fetch etoro.user_key from vault")
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proc = await asyncio.create_subprocess_shell(
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cmd,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE,
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cwd=PITRADER_DIR,
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env=env,
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)
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try:
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stdout, stderr = await asyncio.wait_for(proc.communicate(), timeout=timeout_s)
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except asyncio.TimeoutError:
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proc.kill()
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raise RuntimeError(f"PITrader script timed out after {timeout_s}s: {cmd}")
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output = stdout.decode("utf-8", errors="replace").strip()
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err_output = stderr.decode("utf-8", errors="replace").strip()
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if proc.returncode != 0:
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raise RuntimeError(
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f"PITrader script exited with code {proc.returncode}: {err_output or output}"
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)
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# Validate JSON output if expected
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if json_output and output:
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try:
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json.loads(output)
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except json.JSONDecodeError:
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logger.warning("PITrader output is not valid JSON, returning raw output")
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if err_output:
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logger.debug("PITrader stderr: %s", err_output[:500])
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return output
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