test_exhaustive

Example of the component fmazz97/cs123x v2.0.0
# CS123x Exhaustive API & Hardware Test Example

This example provides a comprehensive hardware verification and API test suite for the CS123x library. It systematically tests all configuration parameters, gain settings, sample rates, channels, internal reference modes, temperature calibration, dual-channel reading, and power management sequences.

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## 🚀 Features Demonstrated

1. **ADC Initialization & Hardware Sync:** Initializes GPIO lines, writes the default or user‑provided configuration to the ADC and verifies correct register read‑back from it.
2. **Exhaustive Gain Test:** Sweeps through all 4 valid gain settings (`GAIN_1`, `GAIN_2`, `GAIN_64`, `GAIN_128`) and verifies hardware write/readback consistency.
3. **Exhaustive Data Rate Test:** Cycles through all 4 supported data output rates (`10Hz`, `40Hz`, `640Hz`, `1280Hz`) and validates timeout handling.
4. **Exhaustive Channel Test:** Verifies switching between all available input channels (`CH_A`, `CH_B` (CS1238 only), `CH_TEMP`, `CH_SHORT`).
5. **Internal Reference Test:** Toggles internal reference configuration (`REF_ON`, `REF_OFF`) — only for software test, see [`Hardware Architecture & Voltage Reference`](https://github.com/FMazz97/CS123x#hardware-architecture--voltage-reference) for more information.
6. **Batch Configuration:** Validates bulk updates via `set_config()` and configuration snapshotting via `get_config()`.
7. **Dual-Channel Interleaved Reading:** Reads from two distinct channels in a single interleaved sequence using `read_dual_channel()` function to avoid a wasted conversion cycle per switch, unlike calling `read()` and `set_ch()` separately.
8. **Offset, Scale & Calibration Methods:** Tests manual setters/getters, tare operation, and live scale factor calculation.
9. **Temperature Sensor Calibration & Read:** Demonstrates manual and on-the-fly temperature calibration and physical temperature acquisition.
10. **Power Management:** Verifies sleep mode cycles via `power_down()` and `power_up()`.
11. **Continuous Data Reading:** Continuous measurement loop demonstrating raw values, moving averages, net counts, physical units, differential voltage conversion and temperature acquisition.

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## 🛠️ Hardware Requirements

* Any **ESP32** development board.
* **CS1237** or **CS1238** ADC module connected to a scale / load cell / bridge sensor.

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## ⚠️ Important Hardware Considerations

### Current Limit for Low-Impedance Sensors

Stock CS1237/CS1238 modules are current-limited by resistor **R1 (1 kΩ)**. For low-impedance sensors (such as **350 Ω load cells**), reduce R1 by adding an external resistor between **DVDD** and **AVDD**.

For full hardware details, visit the [`Current Limit for Low-Impedance Sensors`](https://github.com/FMazz97/CS123x#%EF%B8%8F-important-current-limit-for-low-impedance-sensors) section on [`CS123x Repository`](https://github.com/FMazz97/CS123x).

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## ⚙️ Building & Flashing

This example already includes both an ESP-IDF-native `CMakeLists.txt`/`main/idf_component.yml` and a ready-to-use `platformio.ini` — no manual setup needed for either toolchain. Pick whichever you already have installed.

> **Note:** If you switch between ESP-IDF (`idf.py`) and PlatformIO on the same folder, run `idf.py fullclean` (or delete the `build/` directory) first — the two toolchains don't share build caches and will conflict otherwise.

### Option A: ESP-IDF (native, `idf.py`)

```bash
idf.py build
idf.py -p <PORT> flash monitor
```

### Option B: ESP-IDF on PlatformIO

1. Open this folder in VS Code with the PlatformIO extension installed.
2. Click **Build**, then **Upload**, then **Monitor**.

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## 📝 Usage Steps

When the program boots:

1. The test suite will automatically run through steps `[1]` to `[10]`, logging `['RESULT']` and/or diagnostic output for each hardware API function.

2. Once setup tests finish, the program enters a continuous loop at step `[11]`, printing single-sample raw counts, averaged counts, net counts, units, computed voltage and internal temperature every second.

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## 📄 License

Distributed under the MIT License. See [LICENSE](https://github.com/FMazz97/CS123x/blob/main/LICENSE) for more information.

To create a project from this example, run:

idf.py create-project-from-example "fmazz97/cs123x=2.0.0:test_exhaustive"

or download archive (~6.13 KB)