mt8167s温湿度传感器框架分析——framework到vendor层

关键字：mt8167s、Android 9.0、AHT10

前言

本来如果只是给传感器写个驱动并提供能读取温湿度数据的节点，是一件比较轻松的事情，但是最近上层应用的同事要求我们按照安卓标准的流程来，这样他们就能通过注册一个服务直接读取传感器事件数据了。这样做的好处就是第三方的应用也能正常读取温湿度的数据并展示。

正文

网上分析安卓9.0 sensor相关的资料不多，下面找到了一位大神对安卓9.0整个sensor框架总结的流程图：

虽然流程比较粗糙，但是也有助于我们跟踪代码。这里重点说一下，sensor架构中的HAL层分为两部分：

（1）安卓官方实现部分

hardware/libhardware/modules/sensors

（2）芯片产商实现部分（MTK平台）

vendor/mediatek/proprietary/hardware/sensor

一般来讲，在适配一款新的sensor，改动只会涉及vendor层到kernel层，再往上都是安卓标准的，但是为了了解整个流程怎么走的，参考这位大神的博客，在这里我也稍微介绍一下framework层的部分。

代码路径：frameworks\base\services\java\com\android\server\SystemServer.java

private void startBootstrapServices() {
	...
	mSensorServiceStart = SystemServerInitThreadPool.get().submit(() -> {
            TimingsTraceLog traceLog = new TimingsTraceLog(
                    SYSTEM_SERVER_TIMING_ASYNC_TAG, Trace.TRACE_TAG_SYSTEM_SERVER);
            traceLog.traceBegin(START_SENSOR_SERVICE);
            startSensorService(); /* 调用JNI接口 */
            traceLog.traceEnd();
        }, START_SENSOR_SERVICE);
	...
}

system_server启动之后会通过JNI接口启动sensorService。

代码路径：frameworks\base\services\core\jni\com_android_server_SystemServer.cpp

static void android_server_SystemServer_startSensorService(JNIEnv* /* env */, jobject /* clazz */) {
    char propBuf[PROPERTY_VALUE_MAX];
    property_get("system_init.startsensorservice", propBuf, "1");
    if (strcmp(propBuf, "1") == 0) {
        SensorService::instantiate();
    }

}

/*

 * JNI registration.
   */
   static const JNINativeMethod gMethods[] = {
   /* name, signature, funcPtr */
   { "startSensorService", "()V", (void*) android_server_SystemServer_startSensorService },
   { "startHidlServices", "()V", (void*) android_server_SystemServer_startHidlServices },
   };

从上面可以发现，最后调用到android_server_SystemServer_startSensorService函数，里面会判断属性system_init.startsensorservice是否为1，然后才会真正去启动SensorService服务。所以这里涉及到第一个改动，设置system_init.startsensorservice属性，这里我是直接在build/make/tools/buildinfo.sh里面写死为1。

用SensorService::instantiate()方式创建的sensorservice实例后，调用里面的SensorService::onFirstRef方法。

代码路劲：frameworks\native\services\sensorservice\SensorService.cpp

void SensorService::onFirstRef() {
    ALOGD("nuSensorService starting...");
    SensorDevice& dev(SensorDevice::getInstance()); /* 创建并获取SensorDevice实例 */
	...

	if (dev.initCheck() == NO_ERROR) {
    	sensor_t const* list;
    	ssize_t count = dev.getSensorList(&list); /* 通过SensorDevice，并调用到vendor层去获取sensor的数目 */
    	if (count > 0) {
        	ssize_t orientationIndex = -1;
        	bool hasGyro = false, hasAccel = false, hasMag = false;
       		uint32_t virtualSensorsNeeds =
                (1<<SENSOR_TYPE_GRAVITY) |
                (1<<SENSOR_TYPE_LINEAR_ACCELERATION) |
                (1<<SENSOR_TYPE_ROTATION_VECTOR) |
                (1<<SENSOR_TYPE_GEOMAGNETIC_ROTATION_VECTOR) |
                (1<<SENSOR_TYPE_GAME_ROTATION_VECTOR);

        	for (ssize_t i=0 ; i<count ; i++) {
            	bool useThisSensor=true;

            	switch (list[i].type) {
                	case SENSOR_TYPE_ACCELEROMETER:
                    	hasAccel = true;
                    	break;
                	case SENSOR_TYPE_MAGNETIC_FIELD:
                    	hasMag = true;
                   		break;
                	case SENSOR_TYPE_ORIENTATION:
                    	orientationIndex = i;
                    	break;
                	case SENSOR_TYPE_GYROSCOPE:
                	case SENSOR_TYPE_GYROSCOPE_UNCALIBRATED:
                    	hasGyro = true;
                    	break;
                	case SENSOR_TYPE_GRAVITY:
                	case SENSOR_TYPE_LINEAR_ACCELERATION:
                	case SENSOR_TYPE_ROTATION_VECTOR:
                	case SENSOR_TYPE_GEOMAGNETIC_ROTATION_VECTOR:
                	case SENSOR_TYPE_GAME_ROTATION_VECTOR:
                    	if (IGNORE_HARDWARE_FUSION) {
                        	useThisSensor = false;
                    	} else {
                        	virtualSensorsNeeds &= ~(1<<list[i].type);
                    	}
                    	break;
            	}
            	if (useThisSensor) {
                	registerSensor( new HardwareSensor(list[i]) );
            	}
        	}

        	// it's safe to instantiate the SensorFusion object here
        	// (it wants to be instantiated after h/w sensors have been
        	// registered)
        	SensorFusion::getInstance();

        	if (hasGyro && hasAccel && hasMag) {
            	...
        	}

        	if (hasAccel && hasGyro) {
            	...
        	}

        	if (hasAccel && hasMag) {
            	...
        	}

        	...
    	}
	}
}

我这次主要是增加温湿度传感器的功能，上面的流程中没有过多涉及温湿度的，有兴趣的可以参考大神的博客自行分析。不过这里重点关注一下SensorDevice这个类，它是连接上层应用和HAL层的中间枢纽：

代码路径：frameworks\native\services\sensorservice\SensorDevice.cpp

SensorDevice::SensorDevice()
        : mHidlTransportErrors(20), mRestartWaiter(new HidlServiceRegistrationWaiter()) {
    if (!connectHidlService()) {
        return;
    }
	float minPowerMa = 0.001; // 1 microAmp

	checkReturn(mSensors->getSensorsList(
        [&](const auto &list) {
            const size_t count = list.size();

            mActivationCount.setCapacity(count);
            Info model;
            for (size_t i=0 ; i < count; i++) {
                sensor_t sensor;
                convertToSensor(list[i], &sensor);
                // Sanity check and clamp power if it is 0 (or close)
                if (sensor.power < minPowerMa) {
                    ALOGE("Reported power %f not deemed sane, clamping to %f",
                          sensor.power, minPowerMa);
                    sensor.power = minPowerMa;
                }
                mSensorList.push_back(sensor);

                mActivationCount.add(list[i].sensorHandle, model);

                checkReturn(mSensors->activate(list[i].sensorHandle, 0 /* enabled */));
            }
        }));

	mIsDirectReportSupported =
       	(checkReturn(mSensors->unregisterDirectChannel(-1)) != Result::INVALID_OPERATION);
}

在SensorDevice构造函数中，通过调用connectHidlService()和安卓部分的HAL层服务建立连接。连接后，就可以调用已经在HAL层注册的sensor设备了，比如这里就调用getSensorsList()来获取sensor设备列表，并放回sensor的数目。然后就是通过mSensors->activate()来“激活”sensor设备，而每个sensor具体的activate()函数由驱动工程师实现。

激活sensor设备后，就可以开始获取sensor的数据了，在SensorService中会通过poll机制去查询底层sensor的数据：

代码路径：frameworks\native\services\sensorservice\SensorService.cpp

bool SensorService::threadLoop() {
    ...
	SensorDevice& device(SensorDevice::getInstance());

	const int halVersion = device.getHalDeviceVersion();
	do {
    	ssize_t count = device.poll(mSensorEventBuffer, numEventMax);
    	if (count < 0) {
        	ALOGE("sensor poll failed (%s)", strerror(-count));
        	break;
    	}

    	...
	} while (!Thread::exitPending());

	ALOGW("Exiting SensorService::threadLoop => aborting...");
	abort();
	return false;
}

整个threadLoop函数里面内容挺多的，但是目前只关注读取数据的poll部分。可以看到device就是SensorDevice的一个实例，前面我们讲到上层都是通过SensorDevice和HAL层连接，这里也不例外，也是调用到了SensorDevice中的poll函数，这里我给出这个调用的流程：

1、frameworks\native\services\sensorservice\SensorDevice.cpp
SensorDevice::poll()
	2、vendor\mediatek\proprietary\hardware\sensor\sensors-1.0\sensors.cpp
	poll__poll()
		3、vendor\mediatek\proprietary\hardware\sensor\sensors-1.0\SensorManager.cpp
		SensorManager::pollEvent()
			4、vendor\mediatek\proprietary\hardware\sensor\sensors-1.0\SensorContext.cpp
			sensors_poll_context_t::pollEvent

上面简陋的流程展示了从framework层一路调用到vendor层：

int sensors_poll_context_t::pollEvent(sensors_event_t* data, int count) {
    int nbEvents = 0;
    int n = 0;
    int averageCount = 0, loop = 0, loopcount = 0;
    int backupcount = count, backuploop = 0;
	do {
    loopcount++;
    computeCountForEachFd(count, &averageCount, &loop);
    backuploop = loop;
    for (int i = 0; count && loop && i < numFds; i++) {
        SensorBase* const sensor(mSensors[i]);
		if (mPollFds[i].revents & POLLIN || sensor->pendingEvent()) {
			int nb = sensor->readEvents(data, averageCount);
            ...
        }
    }
    // try to see if we can get some events immediately or just wait if
    // we don't have anything to return, important to update fd revents
    // which sensor data pending in buffer and aviod one sensor always
    // occupy poll bandwidth.
    n = TEMP_FAILURE_RETRY(poll(mPollFds, numFds, nbEvents ? 0 : -1));
    if (n < 0) {
        ALOGE("poll() failed (%s)", strerror(errno));
        return -errno;
    }
	} while (n && count);
	return nbEvents;
}

这里面我们重点关注三点
（1）
mPollFds的定义如下：

struct pollfd mPollFds[numFds];

其中，

struct pollfd {
	int fd;        /* 文件描述符 */
	short events; /* 等待的事件 */
	short revents; /* 实际发生了的事件 */
};

所以mPollFds就是用来监听代表每个sensor是否有数据上报的文件描述符

enum {
    accel,
    magnetic,
    gyro,
    light,
    proximity,
    pressure,
    humidity,
	temperature,
    stepcounter,
    pedometer,
    activity,
    situation,
    scpfusion,
    apfusion,
    bio,
    wakeupset,
    numFds,
};

如果想自定义一种sensor就需要给这个枚举类型增加值。

（2）
mSensors的定义如下：

SensorBase* mSensors[numFds];

SensorBase是一个基类，所有的sensor类都继承于它，比如我这次实现的湿度传感器：

class HumiditySensor : public SensorBase {
	private:
    	int mEnabled;
    	sensors_event_t mPendingEvent;
    	SensorEventCircularReader mSensorReader;
    	int64_t mEnabledTime;
    	char input_sysfs_path[PATH_MAX];
    	int input_sysfs_path_len;
    	int mDataDiv;
    	int64_t m_hmdy_last_ts = 0;
    	int64_t m_hmdy_delay = 0;

    	void processEvent(struct sensor_event const *event);

	public:
        HumiditySensor();
    	virtual ~HumiditySensor();
    	virtual int readEvents(sensors_event_t* data, int count);
    	virtual int setDelay(int32_t handle, int64_t ns);
    	virtual int enable(int32_t handle, int enabled);
    	virtual int batch(int handle, int flags, int64_t samplingPeriodNs, int64_t maxBatchReportLatencyNs);
    	virtual int flush(int handle);
    	virtual int getFd() {
        	return mSensorReader.getReadFd();
   		};
};

从类的声明来看，定义了很多函数，比如readEvents、enable和batch等等，这些最终都会和底层驱动联系起来，后面再细说。

（3）
在sensors_poll_context_t的构造函数中会对上面两点讲到的数组进行初始化：

sensors_poll_context_t::sensors_poll_context_t()
{
	...
	mSensors[humidity] = new HumiditySensor(); /* 分配一个Humidity传感器的类 */
    mPollFds[humidity].fd = mSensors[humidity]->getFd(); /* 获取对应sensor的字符描述符 */
    mPollFds[humidity].events = POLLIN; /* 等待POLLIN类型的事件 */
    mPollFds[humidity].revents = 0;
	...
}

再回到上面的sensors_poll_context_t::pollEvent()函数，通过mPollFds[i].revents判断到如果发生了POLLIN事件，证明可以获取数据了，就调用对应sensor的readEvents()函数去获取。接下来我们就进入到sensor设备对应的HAL层里面了，现在以湿度sensor为例：

代码路径：vendor\mediatek\proprietary\hardware\sensor\sensors-1.0\Humidity.cpp

int HumiditySensor::readEvents(sensors_event_t* data, int count) {
    if (count < 1)
        return -EINVAL;

    ssize_t n = mSensorReader.fill();
    if (n < 0)
        return n;
    int numEventReceived = 0;
    struct sensor_event const* event;
    
    while (count && mSensorReader.readEvent(&event)) {
        processEvent(event);
        if (event->flush_action <= FLUSH_ACTION) {
            ...
        }
        mSensorReader.next();
    }
    return numEventReceived;

}

我们可以看到读取数据实际又是统一通过SensorEventCircularReader这个类来操作：

代码路径：vendor\mediatek\proprietary\hardware\sensor\sensors-1.0\SensorEventReader.cpp

SensorEventCircularReader::SensorEventCircularReader(size_t numEvents)
    : mBuffer(new struct sensor_event[numEvents * 2]),
      mBufferEnd(mBuffer + numEvents),
      mHead(mBuffer),
      mCurr(mBuffer),
      mFreeSpace(numEvents) {
    mReadFd = -1;
    mWriteFd = -1;
}

构造函数里面分配了Buffer来存储接收的数据

ssize_t SensorEventCircularReader::fill() {
    size_t numEventsRead = 0;
    if (mFreeSpace) {
        const ssize_t nread = TEMP_FAILURE_RETRY(read(mReadFd, mHead, mFreeSpace * sizeof(struct sensor_event)));
        if (nread < 0 || nread % sizeof(struct sensor_event)) {
            return 0;
        }

        ...
    }
    
    return numEventsRead;

}

fill顾名思义就是往分配的buffer里面填充数据，通过我们熟悉的read()函数来获取数据。

ssize_t SensorEventCircularReader::readEvent(struct sensor_event const** events) {
    *events = mCurr;
    ssize_t available = (mBufferEnd - mBuffer) - mFreeSpace;
    return available ? 1 : 0;
}

readEvent()只是判断buffer中是否有数据，然后就是调用mSensorReader.next()获取下一个buffer。再回到HumiditySensor::readEvents()，在读取到数据后会调用processEvent()去处理数据：

void HumiditySensor::processEvent(struct sensor_event const *event) {
    mPendingEvent.relative_humidity = (float) event->word[0] / mDataDiv;
}

mPendingEvent.relative_humidity就是最终上报给上层应用的值了。

结语

至此，framework层到vendor层的流程就分析完了，后面我们会分析kernel层的sensor框架。

参考链接

https://blog.csdn.net/goodnight1994/article/details/97503586

mt8167s温湿度传感器框架分析——framework到vendor层

mt8167s温湿度传感器框架分析——framework到vendor层

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正文

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