Add indicators plugin structure, tasks.yml and devcontainer setup by Copilot · Pull Request #3 · Brucesquared2/MDPS

Copilot · 2025-10-17T04:01:32Z

Overview

This PR adds a plugin-style architecture for indicators (CLIME and Vortex) that can be dynamically loaded and executed via the existing FastAPI wrapper. The implementation enables easy integration of new indicators without modifying core application code.

What's New

Plugin Architecture

Created a new src/indicators/ package structure that allows indicators to be added as self-contained plugins:

src/indicators/
├── vortex/
│   ├── __init__.py
│   └── vortex.py       # Vortex indicator implementation
└── clime/
    ├── __init__.py
    └── clime.py         # CLIME algorithm integration

Each plugin exposes a *_run(params: dict) -> dict function that:

Accepts parameters as a dictionary (e.g., {"symbol": "BTCUSDT", "window": 14})
Returns JSON-serializable results with signals and metrics
Can be easily replaced with production implementations

Task Mapping System

Added tasks.yml at the repo root to map short task names to plugin callables:

vortex: indicators.vortex:vortex_run
clime: indicators.clime:clime_run

This enables simple, memorable endpoint names like /run/vortex instead of requiring full module paths in API calls.

FastAPI Integration

Extended app/main.py to support the new task mapping system while preserving existing MDPS_ENTRYPOINT functionality:

New endpoint: POST /run/{task_name} - Execute a named task from tasks.yml
Existing endpoint: POST /run - Execute the default MDPS_ENTRYPOINT callable
Status endpoint: GET /status/{job_id} - Check job execution status

The FastAPI wrapper automatically loads tasks.yml at startup and dynamically imports the specified callables, ensuring no code duplication and maintaining separation of concerns.

DevContainer Support

Added .devcontainer/devcontainer.json with a comprehensive postCreateCommand that:

Upgrades pip
Installs all dependencies from requirements.txt and requirements-api.txt
Installs the package in editable mode
Registers the IPython kernel for Jupyter notebooks

This enables one-click development environment setup in VS Code.

Package Structure

Updated setup.py to properly support the src/ package layout:

setup(
    name="mdps",
    version="0.0.1",
    packages=find_packages(where="src"),
    package_dir={"": "src"},
    install_requires=[],
)

Example Usage

Starting the API

pip install -r requirements.txt -r requirements-api.txt
pip install -e .
uvicorn app.main:app --host 0.0.0.0 --port 8000

Calling the Vortex Plugin

curl -X POST "http://localhost:8000/run/vortex" \
  -H "Content-Type: application/json" \
  -d '{"params": {"symbol": "BTCUSDT", "window": 14}}'

Response:

{
  "job_id": "abc-123-...",
  "status_url": "/status/abc-123-..."
}

Checking Job Status

curl "http://localhost:8000/status/abc-123-..."

Response:

{
  "job_id": "abc-123-...",
  "status": "completed",
  "result": {
    "job": "vortex",
    "symbol": "BTCUSDT",
    "signals": [{"timestamp": 0, "signal": "hold"}],
    "metrics": {"window": 14, "symbol": "BTCUSDT"}
  }
}

Testing

All functionality has been tested and verified:

✅ Package imports work correctly
✅ Plugin functions execute with test parameters
✅ FastAPI server starts without errors
✅ Task routing correctly maps names to callables
✅ Background job execution and status tracking work correctly
✅ No secrets committed (.gitignore configured properly)

Files Changed

Added:

tasks.yml - Task name to callable mapping
src/indicators/vortex/vortex.py - Vortex indicator placeholder
src/indicators/vortex/__init__.py - Vortex package initialization
src/indicators/clime/clime.py - CLIME algorithm placeholder
src/indicators/clime/__init__.py - CLIME package initialization
src/indicators/__init__.py - Indicators package initialization
src/indicators/README.md - Plugin structure documentation
app/main.py - FastAPI application with task routing
requirements-api.txt - API dependencies (FastAPI, Uvicorn, Pydantic, PyYAML)
.devcontainer/devcontainer.json - DevContainer configuration
.gitignore - Ignore rules for build artifacts and secrets

Modified:

setup.py - Updated to support src/ package structure

Next Steps

Users can now:

Replace placeholder implementations in vortex.py and clime.py with production code
Add new indicators by creating new plugin directories under src/indicators/
Update tasks.yml to register new tasks
Use the DevContainer for consistent development environments

The plugin architecture is extensible and ready for production use! 🚀

Original prompt

Add a plugin-style indicators structure, tasks mapping, and devcontainer setup to the MDPS repo so we can add CLIME and Vortex as plugins and call them via the existing FastAPI wrapper.

Create a new branch dev/monorepo-plugins and add/modify these files exactly as specified below. Do not commit any secrets. Target branch: main.

Files to add:

tasks.yml (repo root):

vortex: indicators.vortex:vortex_run
clime: indicators.clime:clime_run

src/indicators/vortex/init.py:

from .vortex import vortex_run

__all__ = ["vortex_run"]

src/indicators/vortex/vortex.py:

"""Simple placeholder Vortex indicator module.
Replace the implementation with your production Vortex code.
"""

def vortex_run(params: dict) -> dict:
    """Run the Vortex indicator logic.

    params example: {"symbol": "BTCUSDT", "window": 14}
    Returns a JSON-serializable dict with signals and metrics.
    """
    symbol = params.get("symbol", "UNKNOWN")
    window = int(params.get("window", 14))

    # placeholder computation
    signals = [{"timestamp": 0, "signal": "hold"}]
    metrics = {"window": window, "symbol": symbol}

    return {"job": "vortex", "symbol": symbol, "signals": signals, "metrics": metrics}

src/indicators/clime/init.py:

from .clime import clime_run

__all__ = ["clime_run"]

src/indicators/clime/clime.py:

"""CLIME integration placeholder.
Replace with the actual CLIME algorithm and interface.
"""

def clime_run(params: dict) -> dict:
    """Run CLIME algorithm with given params and return results as a dict."""
    symbol = params.get("symbol", "UNKNOWN")
    # placeholder
    results = {"job": "clime", "symbol": symbol, "status": "ok"}
    return results

Replace/modify app/main.py to support tasks.yml mapping and new endpoint /run/{task_name} while preserving MDPS_ENTRYPOINT dynamic behavior. Exact file contents:

import os
import json
import uuid
import traceback
import importlib
from fastapi import FastAPI, BackgroundTasks, HTTPException
from pydantic import BaseModel
from typing import Any, Dict

app = FastAPI(title="MDPS Trigger API")

WORKDIR = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
OUT_DIR = os.path.join(WORKDIR, ".quant_runs")
os.makedirs(OUT_DIR, exist_ok=True)

# MDPS_ENTRYPOINT format: "module.path:callable"
ENTRYPOINT = os.environ.get("MDPS_ENTRYPOINT", "src.api:call")

# tasks.yml mapping file (optional)
TASKS_FILE = os.path.join(WORKDIR, "..", "tasks.yml")  # repo root relative to app/
TASKS = {}
if os.path.exists(TASKS_FILE):
    try:
        import yaml
        with open(TASKS_FILE, "r", encoding="utf-8") as f:
            TASKS = yaml.safe_load(f) or {}
    except Exception:
        TASKS = {}

class RunRequest(BaseModel):
    params: Dict[str, Any] = {}

def _load_entrypoint(entrypoint: str):
    if ":" not in entrypoint:
        raise ValueError("ENTRYPOINT must be in module.path:callable format")
    module_name, fn_name = entrypoint.split(":", 1)
    module = importlib.import_module(module_name)
    fn = getattr(module, fn_name)
    if not callable(fn):
        raise TypeError(f"{fn_name} in {module_name} is not callable")
    return fn

def _write_status(job_id: str, payload: dict):
    path = os.path.join(OUT_DIR, f"{job_id}.json")
    with open(path, "w", encoding="utf-8") as f:
        json.dump(payload, f, indent=2)

def _safe_call_entrypoint(fn, params: dict, job_id: str):
    try:
        _write_status(job_id, {"job_id": job_id, "status": "running"})
        result = fn(params)
        if result is None:
            _write_status(job_id, {"job_id": job_id, "status": "completed", "result": "written_by_job"})
        else:
            _write_status(job_id, {"job_id": job_id, "status": "completed", "result": result})
    except Exception as e:
        tb = traceback.format_exc()
        _write_status(job_id, {"job_id": job_id, "status": "failed", "error": str(e), "traceback": tb})

@app.post("/run")
def run_quant(req: RunRequest, background_tasks: BackgroundTasks):
    job_id = str(uuid.uuid4())
    _write_status(job_id, {"job_id": job_id, "status": "queued"})
    try:
        fn = _load_entrypoint(ENTRYPOINT)
    except Exception as e:
        _write_status(job_id, {"job_id": job_id, "status": "failed", "error": f"entrypoint load error: {e}"})
        raise HTTPException(status_code=500, detail=f"cannot load entrypoint: {e}")
    background_tasks.add_task(_safe_call_entrypoint, fn, req.params, job_id)
    return {"job_id": job_id, "status_url": f"/status/{job_id}"}

@app.post("/run/{task_name}")
def run_task(task_name: str, req: RunRequest, background_tasks: BackgroundTasks):
    if not TASKS:
        try:
            import yaml
            with open(TASKS_FILE, "r", encoding="utf-8") as f:
                mapping = yaml.safe_load(f) or {}
        except Exception:
            mapping = {}
    else:
        mapping = TASKS

    if task_name not in mapping:
        raise HTTPException(status_code=404, deta...

</details>

*This pull request was created as a result of the following prompt from Copilot chat.*
> Add a plugin-style indicators structure, tasks mapping, and devcontainer setup to the MDPS repo so we can add CLIME and Vortex as plugins and call them via the existing FastAPI wrapper.
> 
> Create a new branch dev/monorepo-plugins and add/modify these files exactly as specified below. Do not commit any secrets. Target branch: main.
> 
> Files to add:
> 
> 1) tasks.yml (repo root):
> ```
> vortex: indicators.vortex:vortex_run
> clime: indicators.clime:clime_run
> ```
> 
> 2) src/indicators/vortex/__init__.py:
> ```
> from .vortex import vortex_run
> 
> __all__ = ["vortex_run"]
> ```
> 
> 3) src/indicators/vortex/vortex.py:
> ```
> """Simple placeholder Vortex indicator module.
> Replace the implementation with your production Vortex code.
> """
> 
> def vortex_run(params: dict) -> dict:
>     """Run the Vortex indicator logic.
> 
>     params example: {"symbol": "BTCUSDT", "window": 14}
>     Returns a JSON-serializable dict with signals and metrics.
>     """
>     symbol = params.get("symbol", "UNKNOWN")
>     window = int(params.get("window", 14))
> 
>     # placeholder computation
>     signals = [{"timestamp": 0, "signal": "hold"}]
>     metrics = {"window": window, "symbol": symbol}
> 
>     return {"job": "vortex", "symbol": symbol, "signals": signals, "metrics": metrics}
> ```
> 
> 4) src/indicators/clime/__init__.py:
> ```
> from .clime import clime_run
> 
> __all__ = ["clime_run"]
> ```
> 
> 5) src/indicators/clime/clime.py:
> ```
> """CLIME integration placeholder.
> Replace with the actual CLIME algorithm and interface.
> """
> 
> def clime_run(params: dict) -> dict:
>     """Run CLIME algorithm with given params and return results as a dict."""
>     symbol = params.get("symbol", "UNKNOWN")
>     # placeholder
>     results = {"job": "clime", "symbol": symbol, "status": "ok"}
>     return results
> ```
> 
> 6) Replace/modify app/main.py to support tasks.yml mapping and new endpoint /run/{task_name} while preserving MDPS_ENTRYPOINT dynamic behavior. Exact file contents:
> ```
> import os
> import json
> import uuid
> import traceback
> import importlib
> from fastapi import FastAPI, BackgroundTasks, HTTPException
> from pydantic import BaseModel
> from typing import Any, Dict
> 
> app = FastAPI(title="MDPS Trigger API")
> 
> WORKDIR = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
> OUT_DIR = os.path.join(WORKDIR, ".quant_runs")
> os.makedirs(OUT_DIR, exist_ok=True)
> 
> # MDPS_ENTRYPOINT format: "module.path:callable"
> ENTRYPOINT = os.environ.get("MDPS_ENTRYPOINT", "src.api:call")
> 
> # tasks.yml mapping file (optional)
> TASKS_FILE = os.path.join(WORKDIR, "..", "tasks.yml")  # repo root relative to app/
> TASKS = {}
> if os.path.exists(TASKS_FILE):
>     try:
>         import yaml
>         with open(TASKS_FILE, "r", encoding="utf-8") as f:
>             TASKS = yaml.safe_load(f) or {}
>     except Exception:
>         TASKS = {}
> 
> class RunRequest(BaseModel):
>     params: Dict[str, Any] = {}
> 
> def _load_entrypoint(entrypoint: str):
>     if ":" not in entrypoint:
>         raise ValueError("ENTRYPOINT must be in module.path:callable format")
>     module_name, fn_name = entrypoint.split(":", 1)
>     module = importlib.import_module(module_name)
>     fn = getattr(module, fn_name)
>     if not callable(fn):
>         raise TypeError(f"{fn_name} in {module_name} is not callable")
>     return fn
> 
> def _write_status(job_id: str, payload: dict):
>     path = os.path.join(OUT_DIR, f"{job_id}.json")
>     with open(path, "w", encoding="utf-8") as f:
>         json.dump(payload, f, indent=2)
> 
> def _safe_call_entrypoint(fn, params: dict, job_id: str):
>     try:
>         _write_status(job_id, {"job_id": job_id, "status": "running"})
>         result = fn(params)
>         if result is None:
>             _write_status(job_id, {"job_id": job_id, "status": "completed", "result": "written_by_job"})
>         else:
>             _write_status(job_id, {"job_id": job_id, "status": "completed", "result": result})
>     except Exception as e:
>         tb = traceback.format_exc()
>         _write_status(job_id, {"job_id": job_id, "status": "failed", "error": str(e), "traceback": tb})
> 
> @app.post("/run")
> def run_quant(req: RunRequest, background_tasks: BackgroundTasks):
>     job_id = str(uuid.uuid4())
>     _write_status(job_id, {"job_id": job_id, "status": "queued"})
>     try:
>         fn = _load_entrypoint(ENTRYPOINT)
>     except Exception as e:
>         _write_status(job_id, {"job_id": job_id, "status": "failed", "error": f"entrypoint load error: {e}"})
>         raise HTTPException(status_code=500, detail=f"cannot load entrypoint: {e}")
>     background_tasks.add_task(_safe_call_entrypoint, fn, req.params, job_id)
>     return {"job_id": job_id, "status_url": f"/status/{job_id}"}
> 
> @app.post("/run/{task_name}")
> def run_task(task_name: str, req: RunRequest, background_tasks: BackgroundTasks):
>     if not TASKS:
>         try:
>             import yaml
>             with open(TASKS_FILE, "r", encoding="utf-8") as f:
>                 mapping = yaml.safe_load(f) or {}
>         except Exception:
>             mapping = {}
>     else:
>         mapping = TASKS
> 
>     if task_name not in mapping:
>         raise HTTPException(status_code=404, detail="task not found")
>     entry = mapping[task_name]
>     job_id = str(uuid.uuid4())
>     _write_status(job_id, {"job_id": job_id, "status": "queued", "task": task_name})
>     try:
>         fn = _load_entrypoint(entry)
>     except Exception as e:
>         _write_status(job_id, {"job_id": job_id, "status": "failed", "error": f"entrypoint load error: {e}"})
>         raise HTTPException(status_code=500, detail=f"cannot load entrypoint: {e}")
>     background_tasks.add_task(_safe_call_entrypoint, fn, req.params, job_id)
>     return {"job_id": job_id, "status_url": f"/status/{job_id}"}
> 
> @app.get("/status/{job_id}")
> def job_status(job_id: str):
>     status_file = os.path.join(OUT_DIR, f"{job_id}.json")
>     if not os.path.exists(status_file):
>         raise HTTPException(status_code=404, detail="job not found")
>     with open(status_file, "r", encoding="utf-8") as f:
>         data = json.load(f)
>     return data
> ```
> 
> 7) Update .devcontainer/devcontainer.json to include postCreateCommand:
> Add or update property:
> "postCreateCommand": "python -m pip install --upgrade pip && python -m pip install -r requirements.txt -r requirements-api.txt && python -m pip install -e . && python -m ipykernel install --user --name mdps-dev --display-name 'MDPS (devcontainer)'"
> 
> 8) Add or update setup.py at repo root with:
> ```
> from setuptools import setup, find_packages
> 
> setup(
>     name="mdps",
>     version="0.0.1",
>     packages=find_packages(where="src"),
>     package_dir={"": "src"},
>     install_requires=[],
> )
> ```
> 
> Behavior/constraints:
> - No secrets committed.
> - Use src/ package_dir.
> - Keep placeholders obvious.
> 
> Please create the branch, add these files, commit, push, and open a PR titled "Add indicators plugin structure, tasks.yml and devcontainer setup" targeting main. Return the PR URL and branch name when done.
> 

<!-- START COPILOT CODING AGENT TIPS -->
---

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Co-authored-by: Brucesquared2 <192056090+Brucesquared2@users.noreply.github.com>

Initial plan

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Copilot AI assigned Copilot and Brucesquared2 Oct 17, 2025

Copilot started work on behalf of Brucesquared2 October 17, 2025 04:02 View session

Brucesquared2 approved these changes Oct 17, 2025

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Brucesquared2 marked this pull request as ready for review October 17, 2025 04:03

Brucesquared2 approved these changes Oct 17, 2025

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Add indicators plugin structure, tasks.yml, and devcontainer setup

3f132f3

Co-authored-by: Brucesquared2 <192056090+Brucesquared2@users.noreply.github.com>

Brucesquared2 approved these changes Oct 17, 2025

View reviewed changes

Add indicators README documentation

363c807

Co-authored-by: Brucesquared2 <192056090+Brucesquared2@users.noreply.github.com>

Copilot AI changed the title ~~[WIP] Add plugin-style indicators structure and devcontainer setup~~ Add indicators plugin structure, tasks.yml and devcontainer setup Oct 17, 2025

Copilot AI requested a review from Brucesquared2 October 17, 2025 04:13

Copilot finished work on behalf of Brucesquared2 October 17, 2025 04:13

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Add indicators plugin structure, tasks.yml and devcontainer setup#3

Add indicators plugin structure, tasks.yml and devcontainer setup#3
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copilot/devmonorepo-plugins-again

Copilot AI commented Oct 17, 2025 •

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Copilot AI commented Oct 17, 2025 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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Overview

What's New

Plugin Architecture

Task Mapping System

FastAPI Integration

DevContainer Support

Package Structure

Example Usage

Starting the API

Calling the Vortex Plugin

Checking Job Status

Testing

Files Changed

Next Steps

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Copilot AI commented Oct 17, 2025 •

edited

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