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Add some AI instructions (#9606)
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.ai/instructions.md
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# ESPHome AI Collaboration Guide
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This document provides essential context for AI models interacting with this project. Adhering to these guidelines will ensure consistency and maintain code quality.
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## 1. Project Overview & Purpose
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* **Primary Goal:** ESPHome is a system to configure microcontrollers (like ESP32, ESP8266, RP2040, and LibreTiny-based chips) using simple yet powerful YAML configuration files. It generates C++ firmware that can be compiled and flashed to these devices, allowing users to control them remotely through home automation systems.
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* **Business Domain:** Internet of Things (IoT), Home Automation.
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## 2. Core Technologies & Stack
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* **Languages:** Python (>=3.10), C++ (gnu++20)
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* **Frameworks & Runtimes:** PlatformIO, Arduino, ESP-IDF.
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* **Build Systems:** PlatformIO is the primary build system. CMake is used as an alternative.
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* **Configuration:** YAML.
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* **Key Libraries/Dependencies:**
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* **Python:** `voluptuous` (for configuration validation), `PyYAML` (for parsing configuration files), `paho-mqtt` (for MQTT communication), `tornado` (for the web server), `aioesphomeapi` (for the native API).
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* **C++:** `ArduinoJson` (for JSON serialization/deserialization), `AsyncMqttClient-esphome` (for MQTT), `ESPAsyncWebServer` (for the web server).
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* **Package Manager(s):** `pip` (for Python dependencies), `platformio` (for C++/PlatformIO dependencies).
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* **Communication Protocols:** Protobuf (for native API), MQTT, HTTP.
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## 3. Architectural Patterns
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* **Overall Architecture:** The project follows a code-generation architecture. The Python code parses user-defined YAML configuration files and generates C++ source code. This C++ code is then compiled and flashed to the target microcontroller using PlatformIO.
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* **Directory Structure Philosophy:**
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* `/esphome`: Contains the core Python source code for the ESPHome application.
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* `/esphome/components`: Contains the individual components that can be used in ESPHome configurations. Each component is a self-contained unit with its own C++ and Python code.
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* `/tests`: Contains all unit and integration tests for the Python code.
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* `/docker`: Contains Docker-related files for building and running ESPHome in a container.
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* `/script`: Contains helper scripts for development and maintenance.
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* **Core Architectural Components:**
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1. **Configuration System** (`esphome/config*.py`): Handles YAML parsing and validation using Voluptuous, schema definitions, and multi-platform configurations.
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2. **Code Generation** (`esphome/codegen.py`, `esphome/cpp_generator.py`): Manages Python to C++ code generation, template processing, and build flag management.
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3. **Component System** (`esphome/components/`): Contains modular hardware and software components with platform-specific implementations and dependency management.
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4. **Core Framework** (`esphome/core/`): Manages the application lifecycle, hardware abstraction, and component registration.
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5. **Dashboard** (`esphome/dashboard/`): A web-based interface for device configuration, management, and OTA updates.
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* **Platform Support:**
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1. **ESP32** (`components/esp32/`): Espressif ESP32 family. Supports multiple variants (S2, S3, C3, etc.) and both IDF and Arduino frameworks.
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2. **ESP8266** (`components/esp8266/`): Espressif ESP8266. Arduino framework only, with memory constraints.
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3. **RP2040** (`components/rp2040/`): Raspberry Pi Pico/RP2040. Arduino framework with PIO (Programmable I/O) support.
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4. **LibreTiny** (`components/libretiny/`): Realtek and Beken chips. Supports multiple chip families and auto-generated components.
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## 4. Coding Conventions & Style Guide
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* **Formatting:**
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* **Python:** Uses `ruff` and `flake8` for linting and formatting. Configuration is in `pyproject.toml`.
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* **C++:** Uses `clang-format` for formatting. Configuration is in `.clang-format`.
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* **Naming Conventions:**
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* **Python:** Follows PEP 8. Use clear, descriptive names following snake_case.
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* **C++:** Follows the Google C++ Style Guide.
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* **Component Structure:**
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* **Standard Files:**
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```
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components/[component_name]/
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├── __init__.py # Component configuration schema and code generation
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├── [component].h # C++ header file (if needed)
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├── [component].cpp # C++ implementation (if needed)
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└── [platform]/ # Platform-specific implementations
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├── __init__.py # Platform-specific configuration
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├── [platform].h # Platform C++ header
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└── [platform].cpp # Platform C++ implementation
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```
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* **Component Metadata:**
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- `DEPENDENCIES`: List of required components
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- `AUTO_LOAD`: Components to automatically load
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- `CONFLICTS_WITH`: Incompatible components
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- `CODEOWNERS`: GitHub usernames responsible for maintenance
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- `MULTI_CONF`: Whether multiple instances are allowed
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* **Code Generation & Common Patterns:**
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* **Configuration Schema Pattern:**
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```python
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import esphome.codegen as cg
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import esphome.config_validation as cv
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from esphome.const import CONF_KEY, CONF_ID
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CONF_PARAM = "param" # A constant that does not yet exist in esphome/const.py
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my_component_ns = cg.esphome_ns.namespace("my_component")
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MyComponent = my_component_ns.class_("MyComponent", cg.Component)
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CONFIG_SCHEMA = cv.Schema({
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cv.GenerateID(): cv.declare_id(MyComponent),
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cv.Required(CONF_KEY): cv.string,
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cv.Optional(CONF_PARAM, default=42): cv.int_,
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}).extend(cv.COMPONENT_SCHEMA)
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async def to_code(config):
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var = cg.new_Pvariable(config[CONF_ID])
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await cg.register_component(var, config)
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cg.add(var.set_key(config[CONF_KEY]))
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cg.add(var.set_param(config[CONF_PARAM]))
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```
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* **C++ Class Pattern:**
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```cpp
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namespace esphome {
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namespace my_component {
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class MyComponent : public Component {
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public:
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void setup() override;
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void loop() override;
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void dump_config() override;
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void set_key(const std::string &key) { this->key_ = key; }
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void set_param(int param) { this->param_ = param; }
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protected:
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std::string key_;
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int param_{0};
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};
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} // namespace my_component
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} // namespace esphome
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```
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* **Common Component Examples:**
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- **Sensor:**
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```python
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from esphome.components import sensor
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CONFIG_SCHEMA = sensor.sensor_schema(MySensor).extend(cv.polling_component_schema("60s"))
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async def to_code(config):
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var = await sensor.new_sensor(config)
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await cg.register_component(var, config)
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```
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- **Binary Sensor:**
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```python
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from esphome.components import binary_sensor
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CONFIG_SCHEMA = binary_sensor.binary_sensor_schema().extend({ ... })
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async def to_code(config):
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var = await binary_sensor.new_binary_sensor(config)
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```
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- **Switch:**
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```python
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from esphome.components import switch
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CONFIG_SCHEMA = switch.switch_schema().extend({ ... })
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async def to_code(config):
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var = await switch.new_switch(config)
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```
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* **Configuration Validation:**
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* **Common Validators:** `cv.int_`, `cv.float_`, `cv.string`, `cv.boolean`, `cv.int_range(min=0, max=100)`, `cv.positive_int`, `cv.percentage`.
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* **Complex Validation:** `cv.All(cv.string, cv.Length(min=1, max=50))`, `cv.Any(cv.int_, cv.string)`.
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* **Platform-Specific:** `cv.only_on(["esp32", "esp8266"])`, `cv.only_with_arduino`.
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* **Schema Extensions:**
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```python
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CONFIG_SCHEMA = cv.Schema({ ... })
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.extend(cv.COMPONENT_SCHEMA)
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.extend(uart.UART_DEVICE_SCHEMA)
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.extend(i2c.i2c_device_schema(0x48))
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.extend(spi.spi_device_schema(cs_pin_required=True))
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```
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## 5. Key Files & Entrypoints
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* **Main Entrypoint(s):** `esphome/__main__.py` is the main entrypoint for the ESPHome command-line interface.
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* **Configuration:**
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* `pyproject.toml`: Defines the Python project metadata and dependencies.
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* `platformio.ini`: Configures the PlatformIO build environments for different microcontrollers.
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* `.pre-commit-config.yaml`: Configures the pre-commit hooks for linting and formatting.
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* **CI/CD Pipeline:** Defined in `.github/workflows`.
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## 6. Development & Testing Workflow
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* **Local Development Environment:** Use the provided Docker container or create a Python virtual environment and install dependencies from `requirements_dev.txt`.
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* **Running Commands:** Use the `script/run-in-env.py` script to execute commands within the project's virtual environment. For example, to run the linter: `python3 script/run-in-env.py pre-commit run`.
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* **Testing:**
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* **Python:** Run unit tests with `pytest`.
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* **C++:** Use `clang-tidy` for static analysis.
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* **Component Tests:** YAML-based compilation tests are located in `tests/`. The structure is as follows:
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```
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tests/
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├── test_build_components/ # Base test configurations
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└── components/[component]/ # Component-specific tests
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```
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Run them using `script/test_build_components`. Use `-c <component>` to test specific components and `-t <target>` for specific platforms.
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* **Debugging and Troubleshooting:**
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* **Debug Tools:**
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- `esphome config <file>.yaml` to validate configuration.
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- `esphome compile <file>.yaml` to compile without uploading.
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- Check the Dashboard for real-time logs.
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- Use component-specific debug logging.
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* **Common Issues:**
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- **Import Errors**: Check component dependencies and `PYTHONPATH`.
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- **Validation Errors**: Review configuration schema definitions.
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- **Build Errors**: Check platform compatibility and library versions.
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- **Runtime Errors**: Review generated C++ code and component logic.
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## 7. Specific Instructions for AI Collaboration
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* **Contribution Workflow (Pull Request Process):**
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1. **Fork & Branch:** Create a new branch in your fork.
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2. **Make Changes:** Adhere to all coding conventions and patterns.
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3. **Test:** Create component tests for all supported platforms and run the full test suite locally.
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4. **Lint:** Run `pre-commit` to ensure code is compliant.
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5. **Commit:** Commit your changes. There is no strict format for commit messages.
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6. **Pull Request:** Submit a PR against the `dev` branch. The Pull Request title should have a prefix of the component being worked on (e.g., `[display] Fix bug`, `[abc123] Add new component`). Update documentation, examples, and add `CODEOWNERS` entries as needed. Pull requests should always be made with the PULL_REQUEST_TEMPLATE.md template filled out correctly.
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* **Documentation Contributions:**
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* Documentation is hosted in the separate `esphome/esphome-docs` repository.
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* The contribution workflow is the same as for the codebase.
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* **Best Practices:**
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* **Component Development:** Keep dependencies minimal, provide clear error messages, and write comprehensive docstrings and tests.
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* **Code Generation:** Generate minimal and efficient C++ code. Validate all user inputs thoroughly. Support multiple platform variations.
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* **Configuration Design:** Aim for simplicity with sensible defaults, while allowing for advanced customization.
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* **Security:** Be mindful of security when making changes to the API, web server, or any other network-related code. Do not hardcode secrets or keys.
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* **Dependencies & Build System Integration:**
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* **Python:** When adding a new Python dependency, add it to the appropriate `requirements*.txt` file and `pyproject.toml`.
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* **C++ / PlatformIO:** When adding a new C++ dependency, add it to `platformio.ini` and use `cg.add_library`.
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* **Build Flags:** Use `cg.add_build_flag(...)` to add compiler flags.
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.github/copilot-instructions.md
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../.ai/instructions.md
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"docker/ha-addon-rootfs/**",
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"docker/*.py",
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"script/*",
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"CLAUDE.md",
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"GEMINI.md",
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".github/copilot-instructions.md",
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]
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)
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def lint_executable_bit(fname):
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