fixed energy out integrations

.agent/workflows/format_code.md

@@ -1,9 +0,0 @@
----
-description: Format code using treefmt
----
-
-// turbo
-1. Run treefmt
-    ```bash
-    treefmt
-    ```

.github/workflows/fix_eval_warnings.yml

@@ -1,48 +0,0 @@
-name: Fix Evaluation Warnings
-
-on:
-  workflow_run:
-    workflows: ["build_systems"]
-    types:
-      - completed
-
-permissions:
-  contents: write
-  pull-requests: write
-  actions: read
-
-jobs:
-  analyze-and-fix:
-    runs-on: self-hosted
-    if: ${{ github.event.workflow_run.conclusion == 'success' || github.event.workflow_run.conclusion == 'failure' }}
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Download logs
-        env:
-          GH_TOKEN: ${{ github.token }}
-          RUN_ID: ${{ github.event.workflow_run.id }}
-        run: |
-          gh run view $RUN_ID --log > build.log
-          
-      - name: Run Fix Script
-        env:
-          GITHUB_TOKEN: ${{ github.token }}
-          GITHUB_REPOSITORY: ${{ github.repository }}
-          RUN_ID: ${{ github.event.workflow_run.id }}
-          PYTHONPATH: .
-        run: |
-          python3 python/tools/fix_eval_warnings.py build.log
-
-      - name: Create Pull Request
-        if: hashFiles('fix_suggestions.md') != ''
-        uses: peter-evans/create-pull-request@v6
-        with:
-          token: ${{ github.token }}
-          commit-message: "fix: automated evaluation warning fixes"
-          title: "fix: automated evaluation warning fixes"
-          body-path: fix_suggestions.md
-          branch: "auto-fix-eval-warnings-${{ github.event.workflow_run.id }}"
-          base: main
-          labels: "automated-fix"

.gitignore

@@ -165,4 +165,3 @@ test.*
 
 # syncthing
 .stfolder
-fix_suggestions.md

AGENTS.md

@@ -1,12 +1,5 @@
 ## Dev environment tips
 
 - use treefmt to format all files
-- keep new code consistent with the existing style
+- make python code ruff compliant
-
+- use pytest to test python code
-### Python
-
-- make code `ruff` compliant
-- use pytest to test python code tests should be put in `tests` directory
-- dont use global state
-- use google style docstrings
-- use typer over argparse

pyproject.toml

@@ -58,7 +58,7 @@ builtins-ignorelist = ["id"]
 max-args = 9
 
 [tool.coverage.run]
-source = ["python"]
+source = ["system_tools"]
 
 [tool.coverage.report]
 exclude_lines = [

python/tools/fix_eval_warnings.py

@@ -1,161 +0,0 @@
-#!/usr/bin/env python3
-"""fix_eval_warnings."""
-
-from __future__ import annotations
-
-import logging
-import os
-from dataclasses import dataclass
-from pathlib import Path
-
-import requests
-import typer
-
-from python.common import configure_logger
-
-logger = logging.getLogger(__name__)
-
-
-@dataclass
-class Config:
-    """Configuration for the script.
-
-    Attributes:
-        github_token (str): GitHub token for API authentication.
-        model_name (str): The name of the LLM model to use. Defaults to "gpt-4o".
-        api_base (str): The base URL for the GitHub Models API.
-            Defaults to "https://models.inference.ai.azure.com".
-    """
-
-    github_token: str
-    model_name: str = "gpt-4o"
-    api_base: str = "https://models.inference.ai.azure.com"
-
-
-def get_log_content(run_id: str) -> None:
-    """Fetch the logs for a specific workflow run.
-
-    Args:
-        run_id (str): The run ID.
-    """
-    logger.info(f"Fetching logs for run ID: {run_id}")
-    # List artifacts to find logs (or use jobs API)
-    # For simplicity, we might need to use 'gh' cli in the workflow to download logs
-    # But let's try to read from a file if passed as argument, which is easier for the workflow
-
-
-def parse_warnings(log_file_path: Path) -> list[str]:
-    """Parse the log file for evaluation warnings.
-
-    Args:
-        log_file_path (Path): The path to the log file.
-
-    Returns:
-        list[str]: A list of warning messages.
-    """
-    warnings = []
-    with log_file_path.open(encoding="utf-8", errors="ignore") as f:
-        warnings.extend(line.strip() for line in f if "evaluation warning:" in line)
-    return warnings
-
-
-def generate_fix(warning_msg: str, config: Config) -> str | None:
-    """Call GitHub Models to generate a fix for the warning.
-
-    Args:
-        warning_msg (str): The warning message.
-        config (Config): The configuration object.
-
-    Returns:
-        Optional[str]: The suggested fix or None.
-    """
-    logger.info(f"Generating fix for: {warning_msg}")
-
-    prompt = f"""
-    I encountered the following Nix evaluation warning:
-
-    `{warning_msg}`
-
-    Please explain what this warning means and suggest how to fix it in the Nix code.
-    If possible, provide the exact code change in a diff format or a clear description of what to change.
-    """
-
-    headers = {"Content-Type": "application/json", "Authorization": f"Bearer {config.github_token}"}
-
-    payload = {
-        "messages": [
-            {"role": "system", "content": "You are an expert NixOS and Nix language developer."},
-            {"role": "user", "content": prompt},
-        ],
-        "model": config.model_name,
-        "temperature": 0.1,
-    }
-
-    try:
-        response = requests.post(f"{config.api_base}/chat/completions", headers=headers, json=payload, timeout=30)
-        response.raise_for_status()
-        result = response.json()
-        return result["choices"][0]["message"]["content"]  # type: ignore[no-any-return]
-    except Exception:
-        logger.exception("Error calling LLM")
-        return None
-
-
-def main(
-    log_file: Path = typer.Argument(..., help="Path to the build log file"),  # noqa: B008
-    model_name: str = typer.Option("gpt-4o", envvar="MODEL_NAME", help="LLM Model Name"),
-) -> None:
-    """Detect evaluation warnings in logs and suggest fixes using GitHub Models.
-
-    Args:
-        log_file (Path): Path to the build log file containing evaluation warnings.
-        model_name (str): The name of the LLM model to use for generating fixes.
-            Defaults to "gpt-4o", can be overridden by MODEL_NAME environment variable.
-    """
-    configure_logger()
-
-    github_token = os.environ.get("GITHUB_TOKEN")
-    if not github_token:
-        logger.warning("GITHUB_TOKEN not set. LLM calls will fail.")
-
-    config = Config(github_token=github_token or "", model_name=model_name)
-
-    if not log_file.exists():
-        logger.error(f"Log file not found: {log_file}")
-        raise typer.Exit(code=1)
-
-    warnings = parse_warnings(log_file)
-    if not warnings:
-        logger.info("No evaluation warnings found.")
-        raise typer.Exit(code=0)
-
-    logger.info(f"Found {len(warnings)} warnings.")
-
-    # Process unique warnings to save tokens
-    unique_warnings = list(set(warnings))
-
-    fixes = []
-    for warning in unique_warnings:
-        if not config.github_token:
-            logger.warning("Skipping LLM call due to missing GITHUB_TOKEN")
-            continue
-
-        fix = generate_fix(warning, config)
-        if fix:
-            fixes.append(f"## Warning\n`{warning}`\n\n## Suggested Fix\n{fix}\n")
-
-    # Output fixes to a markdown file for the PR body
-    if fixes:
-        with Path("fix_suggestions.md").open("w") as f:
-            f.write("# Automated Fix Suggestions\n\n")
-            f.write("\n---\n".join(fixes))
-        logger.info("Fix suggestions written to fix_suggestions.md")
-    else:
-        logger.info("No fixes generated.")
-
-
-app = typer.Typer()
-app.command()(main)
-
-if __name__ == "__main__":
-    app()

systems/brain/services/home_assistant.nix

@@ -70,6 +70,8 @@
           py-improv-ble-client # for esphome
           pymodbus # for modbus
           pyopenweathermap # for weather
+          ical # for todo
+          uiprotect # unfi integration
         ];
       extraComponents = [ "isal" ];
     };

systems/brain/services/home_assistant/battery_sensors.yaml

@@ -10,7 +10,7 @@ sensor:
     max_sub_interval:
       minutes: 5
   - platform: integration
-    source: sensor.batteries_jk0_charging_power
+    source: sensor.batteries_jk0_discharging_power
     name: "JK0 energy out"
     unique_id: jk0_energy_out_kwh
     unit_prefix: k
@@ -30,7 +30,7 @@ sensor:
     max_sub_interval:
       minutes: 5
   - platform: integration
-    source: sensor.battery1_jk1_discharge_power
+    source: sensor.battery1_jk1_discharging_power
     name: "JK1 energy out"
     unique_id: jk1_energy_out_kwh
     unit_prefix: k

tests/conftest.py

@@ -1,6 +0,0 @@
-"""Fixtures for tests."""
-
-from __future__ import annotations
-
-PASSWORD = "password"  # noqa: S105
-TOKEN = "token"  # noqa: S105

tests/test_fix_eval_warnings.py

@@ -1,75 +0,0 @@
-"""test_fix_eval_warnings."""
-
-from __future__ import annotations
-
-from pathlib import Path
-from typing import TYPE_CHECKING
-
-from typer.testing import CliRunner
-
-from python.tools.fix_eval_warnings import Config, app, generate_fix, parse_warnings
-from tests.conftest import TOKEN
-
-if TYPE_CHECKING:
-    from pyfakefs.fake_filesystem import FakeFilesystem
-    from pytest_mock import MockerFixture
-
-runner = CliRunner()
-
-
-def test_parse_warnings(fs: FakeFilesystem) -> None:
-    """test_parse_warnings."""
-    log_file = Path("/build.log")
-    fs.create_file(
-        log_file,
-        contents="Some output\nevaluation warning: 'system' is deprecated\nMore output",
-        encoding="utf-8",
-    )
-    warnings = parse_warnings(log_file)
-    assert len(warnings) == 1
-    assert warnings[0] == "evaluation warning: 'system' is deprecated"
-
-
-def test_generate_fix(mocker: MockerFixture) -> None:
-    """test_generate_fix."""
-    mock_post = mocker.patch("python.tools.fix_eval_warnings.requests.post")
-    mock_response = mocker.MagicMock()
-    mock_response.json.return_value = {
-        "choices": [{"message": {"content": "Use stdenv.hostPlatform.system"}}]
-    }
-    mock_post.return_value = mock_response
-
-    config = Config(github_token=TOKEN)
-    fix = generate_fix("evaluation warning: 'system' is deprecated", config)
-
-    assert fix == "Use stdenv.hostPlatform.system"
-    mock_post.assert_called_once()
-
-
-def test_main(mocker: MockerFixture, fs: FakeFilesystem) -> None:
-    """test_main."""
-    log_file = Path("/build.log")
-    fs.create_file(
-        log_file,
-        contents="Some output\nevaluation warning: 'system' is deprecated\nMore output",
-        encoding="utf-8",
-    )
-
-    mock_generate_fix = mocker.patch("python.tools.fix_eval_warnings.generate_fix")
-    mock_generate_fix.return_value = "Fixed it"
-    mock_logger = mocker.patch("python.tools.fix_eval_warnings.logger")
-
-    # We need to mock GITHUB_TOKEN env var or the script will warn/fail
-    mocker.patch.dict("os.environ", {"GITHUB_TOKEN": TOKEN})
-
-    result = runner.invoke(app, [str(log_file)])
-
-    assert result.exit_code == 0
-    # Verify logger calls instead of stdout, as CliRunner might not capture logging output correctly
-    # when logging is configured to write to sys.stdout directly.
-    assert any("Found 1 warnings" in str(call) for call in mock_logger.info.call_args_list)
-    assert any(
-        "Fix suggestions written to fix_suggestions.md" in str(call)
-        for call in mock_logger.info.call_args_list
-    )
-    assert Path("fix_suggestions.md").exists()