void
mexFunction (int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
MSTraceGroup *mstg = NULL;
MSTrace *mst = NULL;
const char **my_fnames = NULL;
char *filename;
int buflen;
int reclen;
double timetol, sampratetol;
flag dataquality, skipnodata, dataflag, verbose;
int i, j, nfields;
mxArray *tmp_val;
double *tmp_val_ptr;
int32_t *data;
/* Sanity check input and output */
if ( nrhs != 8 )
{
mexPrintf ("mexMsReadTracesNative - Read Mini-SEED data into Matlab\n\n");
mexPrintf ("Usage: mexMsReadTracesNative (filename, reclen, timetol, sampratetol, dataquality, skipnotdata, dataflag, verbosity)\n");
mexPrintf (" filename - Name of file to read Mini-SEED data from\n");
mexPrintf (" reclen - Mini-SEED data record length, -1 for autodetection\n");
mexPrintf (" timetol - Time tolerance, use -1.0 for 1/2 sample period\n");
mexPrintf (" sampratetol - Sample rate tolerance, use -1.0 for default tolerance\n");
mexPrintf (" dataquality - Include data quality in determination of unique time series, use 0 or 1\n");
mexPrintf (" skipnotdata - Skip blocks in input file that are not Mini-SEED data\n");
mexPrintf (" dataflag - Flag to control return of data samples or not, 0 or 1\n");
mexPrintf (" verbosity - Level of diagnostic messages, use 0 - 3\n\n");
mexErrMsgTxt ("8 input arguments required.");
}
else if ( nlhs > 1 )
{
mexErrMsgTxt ("Too many output arguments.");
}
/* Redirect libmseed logging messages to Matlab functions */
ms_loginit ((void *)&mexPrintf, NULL, (void *)&mexWarnMsgTxt, NULL);
/* Get the length of the input string */
buflen = (mxGetM (prhs[0]) * mxGetN (prhs[0])) + 1;
/* Allocate memory for input string */
filename = mxCalloc (buflen, sizeof (char));
/* Assign the input arguments to variables */
if ( mxGetString (prhs[0], filename, buflen) )
mexErrMsgTxt ("Not enough space. Filename string is truncated.");
reclen = (int) mxGetScalar(prhs[1]);
timetol = mxGetScalar(prhs[2]);
sampratetol = mxGetScalar(prhs[3]);
dataquality = (flag) mxGetScalar(prhs[4]);
skipnodata = (flag) mxGetScalar(prhs[5]);
dataflag = (flag) mxGetScalar(prhs[6]);
verbose = (flag) mxGetScalar(prhs[7]);
/* Read the file */
if ( ms_readtraces (&mstg, filename, reclen, timetol, sampratetol, dataquality,
skipnodata, dataflag, verbose) != MS_NOERROR )
mexErrMsgTxt ("Error reading files");
/* Print some information to the Matlab command prompt */
mst_printtracelist (mstg, 0, verbose, 1);
/* Create the Matlab output structure */
mst = mstg->traces;
for (i=0; i < mstg->numtraces; i++)
{
if (i==0)
{
nfields = 13;
my_fnames = mxCalloc (nfields, sizeof (*my_fnames));
my_fnames[0] = "network";
my_fnames[1] = "station";
my_fnames[2] = "location";
my_fnames[3] = "channel";
my_fnames[4] = "dataquality";
my_fnames[5] = "type";
my_fnames[6] = "startTime";
my_fnames[7] = "endTime";
my_fnames[8] = "sampleRate";
my_fnames[9] = "sampleCount";
my_fnames[10] = "numberOfSamples";
my_fnames[11] = "sampleType";
my_fnames[12] = "data";
plhs[0] = mxCreateStructMatrix(mstg->numtraces, 1, nfields, my_fnames);
mxFree(my_fnames);
}
/* Copy the data of the mst structure to the matlab output structure. */
data = (int32_t*) mst->datasamples;
tmp_val = mxCreateDoubleMatrix(mst->numsamples, 1, mxREAL);
tmp_val_ptr = mxGetPr(tmp_val);
for (j = 0; j < mst->numsamples; j++)
{
# if ENDIANNESS
tmp_val_ptr[j] = (double) data[j];
# else
tmp_val_ptr[j] = (double) (int32_t)(__builtin_bswap32 (data[j]));
# endif
//tmp_val_ptr[j] = 100.0;
}
mxSetFieldByNumber(plhs[0], i, 0, mxCreateString(mst->network));
mxSetFieldByNumber(plhs[0], i, 1, mxCreateString(mst->station));
mxSetFieldByNumber(plhs[0], i, 2, mxCreateString(mst->location));
mxSetFieldByNumber(plhs[0], i, 3, mxCreateString(mst->channel));
mxSetFieldByNumber(plhs[0], i, 4, mxCreateDoubleScalar((int)mst->dataquality));
mxSetFieldByNumber(plhs[0], i, 5, mxCreateDoubleScalar((int)mst->type));
mxSetFieldByNumber(plhs[0], i, 6, mxCreateDoubleScalar(mst->starttime));
mxSetFieldByNumber(plhs[0], i, 7, mxCreateDoubleScalar(mst->endtime));
mxSetFieldByNumber(plhs[0], i, 8, mxCreateDoubleScalar(mst->samprate));
mxSetFieldByNumber(plhs[0], i, 9, mxCreateDoubleScalar(mst->samplecnt));
mxSetFieldByNumber(plhs[0], i, 10, mxCreateDoubleScalar(mst->numsamples));
mxSetFieldByNumber(plhs[0], i, 11, mxCreateDoubleScalar((int)mst->sampletype));
mxSetFieldByNumber(plhs[0], i, 12, tmp_val);
mst = mst->next;
}
mst_freegroup (&mstg);
}
static PyObject*
mseed_get_traces (PyObject *dummy, PyObject *args)
{
char *filename;
MSTraceGroup *mstg = NULL;
MSTrace *mst = NULL;
int retcode;
npy_intp array_dims[1] = {0};
PyObject *array = NULL;
PyObject *out_traces = NULL;
PyObject *out_trace = NULL;
int numpytype;
char strbuf[BUFSIZE];
PyObject *unpackdata = NULL;
if (!PyArg_ParseTuple(args, "sO", &filename, &unpackdata)) {
PyErr_SetString(MSeedError, "usage get_traces(filename, dataflag)" );
return NULL;
}
if (!PyBool_Check(unpackdata)) {
PyErr_SetString(MSeedError, "Second argument must be a boolean" );
return NULL;
}
/* get data from mseed file */
retcode = ms_readtraces (&mstg, filename, 0, -1.0, -1.0, 0, 1, (unpackdata == Py_True), 0);
if ( retcode < 0 ) {
snprintf (strbuf, BUFSIZE, "Cannot read file '%s': %s", filename, ms_errorstr(retcode));
PyErr_SetString(MSeedError, strbuf);
return NULL;
}
if ( ! mstg ) {
snprintf (strbuf, BUFSIZE, "Error reading file");
PyErr_SetString(MSeedError, strbuf);
return NULL;
}
/* check that there is data in the traces */
if (unpackdata == Py_True) {
mst = mstg->traces;
while (mst) {
if (mst->datasamples == NULL) {
snprintf (strbuf, BUFSIZE, "Error reading file - datasamples is NULL");
PyErr_SetString(MSeedError, strbuf);
return NULL;
}
mst = mst->next;
}
}
out_traces = Py_BuildValue("[]");
mst = mstg->traces;
/* convert data to python tuple */
while (mst) {
if (unpackdata == Py_True) {
array_dims[0] = mst->numsamples;
switch (mst->sampletype) {
case 'i':
assert( ms_samplesize('i') == 4 );
numpytype = NPY_INT32;
break;
case 'a':
assert( ms_samplesize('a') == 1 );
numpytype = NPY_INT8;
break;
case 'f':
assert( ms_samplesize('f') == 4 );
numpytype = NPY_FLOAT32;
break;
case 'd':
assert( ms_samplesize('d') == 8 );
numpytype = NPY_FLOAT64;
break;
default:
snprintf (strbuf, BUFSIZE, "Unknown sampletype %c\n", mst->sampletype);
PyErr_SetString(MSeedError, strbuf);
Py_XDECREF(out_traces);
return NULL;
}
array = PyArray_SimpleNew(1, array_dims, numpytype);
memcpy( PyArray_DATA(array), mst->datasamples, mst->numsamples*ms_samplesize(mst->sampletype) );
} else {
Py_INCREF(Py_None);
array = Py_None;
}
out_trace = Py_BuildValue( "(c,s,s,s,s,L,L,d,N)",
mst->dataquality,
mst->network,
mst->station,
mst->location,
mst->channel,
mst->starttime,
mst->endtime,
mst->samprate,
array );
PyList_Append(out_traces, out_trace);
Py_DECREF(out_trace);
mst = mst->next;
}
mst_freegroup (&mstg);
return out_traces;
}
