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1 | 1 | import mpldriver |
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2 | 2 | |
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3 | 3 | class Figure: |
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4 | 4 | axesList = None |
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5 | width = None | |
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6 | height = None | |
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5 | 7 | def __init__(self): |
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6 | 8 | pass |
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7 | 9 | |
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8 | 10 | def init(self, idfigure, wintitle, width, height, nplots): |
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9 | 11 | self.idfigure = idfigure |
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10 | 12 | self.wintitle = wintitle |
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11 | 13 | self.width = width |
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12 | 14 | self.height = height |
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13 | 15 | self.nplots = nplots |
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14 | 16 | mpldriver.init(idfigure, wintitle, width, height) |
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15 | 17 | |
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16 | 18 | self.axesList = [] |
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17 | 19 | |
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18 | 20 | def setTitle(self, title): |
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19 | 21 | mpldriver.setTitle(self.idfigure, title) |
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20 | 22 | |
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21 | 23 | def setTextFromAxes(self, title): |
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22 | 24 | mpldriver.setTextFromAxes(self.idfigure, self.axesList[0].ax, title) |
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23 | 25 | |
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24 | 26 | def makeAxes(self, nrow, ncol, xpos, ypos, colspan, rowspan): |
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25 | 27 | ax = mpldriver.makeAxes(self.idfigure, nrow, ncol, xpos, ypos, colspan, rowspan) |
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26 | 28 | axesObj = Axes(ax) |
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27 | 29 | self.axesList.append(axesObj) |
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28 | 30 | |
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29 | 31 | def draw(self): |
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30 | 32 | mpldriver.draw(self.idfigure) |
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31 | 33 | |
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32 | 34 | def run(self): |
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33 | 35 | pass |
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34 | 36 | |
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35 | 37 | |
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36 | 38 | class Axes: |
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37 | 39 | firsttime = None |
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38 | 40 | ax = None |
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41 | mesh = None | |
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39 | 42 | |
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40 | 43 | def __init__(self, ax): |
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41 | 44 | self.firsttime = True |
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42 | 45 | self.ax = ax |
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46 | self.mesh = None | |
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43 | 47 | |
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44 | 48 | def pline(self, x, y, xmin, xmax, ymin, ymax, xlabel, ylabel, title): |
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45 | 49 | |
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46 | 50 | mpldriver.pline(ax=self.ax, |
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47 | 51 | x=x, |
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48 | 52 | y=y, |
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49 | 53 | xmin=xmin, |
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50 | 54 | xmax=xmax, |
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51 | 55 | ymin=ymin, |
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52 | 56 | ymax=ymax, |
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53 | 57 | xlabel=xlabel, |
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54 | 58 | ylabel=ylabel, |
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55 | 59 | title=title, |
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56 | 60 | firsttime=self.firsttime) |
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57 | 61 | |
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58 | 62 | self.firsttime = False |
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59 | 63 | |
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60 | def pcolor(self): | |
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61 | pass | |
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64 | def pcolor(self, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax, xlabel, ylabel, title): | |
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65 | meshfromaxes=mpldriver.pcolor(ax=self.ax, | |
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66 | x=x, | |
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67 | y=y, | |
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68 | z=z, | |
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69 | xmin=xmin, | |
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70 | xmax=xmax, | |
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71 | ymin=ymin, | |
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72 | ymax=ymax, | |
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73 | zmin=zmin, | |
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74 | zmax=zmax, | |
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75 | xlabel=xlabel, | |
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76 | ylabel=ylabel, | |
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77 | title=title, | |
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78 | firsttime=self.firsttime, | |
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79 | mesh=self.mesh) | |
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80 | self.mesh = meshfromaxes | |
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81 | self.firsttime = False | |
| @@ -1,50 +1,75 | |||
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1 | 1 | import matplotlib |
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2 | 2 | matplotlib.use("TKAgg") |
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3 | 3 | import matplotlib.pyplot |
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4 | 4 | import scitools.numpyutils |
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5 | from mpl_toolkits.axes_grid1 import make_axes_locatable | |
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5 | 6 | |
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6 | 7 | def init(idfigure, wintitle, width, height): |
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7 | 8 | matplotlib.pyplot.ioff() |
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8 | 9 | fig = matplotlib.pyplot.matplotlib.pyplot.figure(num=idfigure, facecolor="w") |
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9 | 10 | fig.canvas.manager.set_window_title(wintitle) |
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10 | 11 | fig.canvas.manager.resize(width,height) |
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11 | 12 | matplotlib.pyplot.ion() |
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12 | 13 | |
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13 | 14 | def setTextFromAxes(idfigure, ax, title): |
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14 | 15 | fig = matplotlib.pyplot.figure(idfigure) |
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15 | 16 | ax.annotate(title, xy=(.1, .99), |
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16 | 17 | xycoords='figure fraction', |
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17 | 18 | horizontalalignment='left', verticalalignment='top', |
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18 | 19 | fontsize=10) |
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19 | 20 | |
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20 | 21 | def setTitle(idfigure, title): |
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21 | 22 | fig = matplotlib.pyplot.figure(idfigure) |
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22 | 23 | fig.suptitle(title) |
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23 | 24 | |
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24 | 25 | def makeAxes(idfigure, nrow, ncol, xpos, ypos, colspan, rowspan): |
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25 | 26 | fig = matplotlib.pyplot.figure(idfigure) |
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26 | 27 | ax = matplotlib.pyplot.subplot2grid((nrow, ncol), (xpos, ypos), colspan=colspan, rowspan=rowspan) |
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27 | 28 | return ax |
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28 | 29 | |
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29 | 30 | def pline(ax, x, y, xmin, xmax, ymin, ymax, xlabel, ylabel, title, firsttime): |
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30 | 31 | if firsttime: |
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31 | 32 | ax.plot(x, y) |
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32 | 33 | ax.set_xlim([xmin,xmax]) |
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33 | 34 | ax.set_ylim([ymin,ymax]) |
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34 | 35 | ax.set_xlabel(xlabel, size=8) |
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35 | 36 | ax.set_ylabel(ylabel, size=8) |
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36 | 37 | ax.set_title(title, size=10) |
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37 | 38 | matplotlib.pyplot.tight_layout() |
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38 | 39 | else: |
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39 | 40 | ax.lines[0].set_data(x,y) |
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40 | 41 | |
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41 | 42 | def draw(idfigure): |
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42 | 43 | fig = matplotlib.pyplot.figure(idfigure) |
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43 | 44 | fig.canvas.draw() |
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44 | 45 | |
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45 | def pcolor(): | |
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46 | pass | |
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46 | def pcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax, xlabel, ylabel, title, firsttime, mesh): | |
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47 | if firsttime: | |
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48 | divider = make_axes_locatable(ax) | |
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49 | ax_cb = divider.new_horizontal(size="5%", pad=0.05) | |
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50 | fig1 = ax.get_figure() | |
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51 | fig1.add_axes(ax_cb) | |
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52 | ||
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53 | ax.set_xlim([xmin,xmax]) | |
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54 | ax.set_ylim([ymin,ymax]) | |
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55 | ax.set_xlabel(xlabel) | |
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56 | ax.set_ylabel(ylabel) | |
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57 | ax.set_title(title) | |
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58 | ||
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59 | imesh=ax.pcolormesh(x,y,z,vmin=zmin,vmax=zmax) | |
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60 | matplotlib.pyplot.colorbar(imesh, cax=ax_cb) | |
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61 | ax_cb.yaxis.tick_right() | |
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62 | for tl in ax_cb.get_yticklabels(): | |
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63 | tl.set_visible(True) | |
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64 | ax_cb.yaxis.tick_right() | |
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65 | matplotlib.pyplot.tight_layout() | |
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66 | return imesh | |
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67 | else: | |
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68 | tmp = z[0:-1,0:-1] | |
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69 | mesh.set_array(tmp.ravel()) | |
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70 | ||
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71 | return mesh | |
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47 | 72 | |
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48 | 73 | |
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49 | 74 | |
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50 | 75 | No newline at end of file |
| @@ -1,2473 +1,2473 | |||
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1 | 1 | ''' |
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2 | 2 | |
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3 | 3 | $Author: murco $ |
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4 | 4 | $Id: JRODataIO.py 169 2012-11-19 21:57:03Z murco $ |
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5 | 5 | ''' |
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6 | 6 | |
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7 | 7 | import os, sys |
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8 | 8 | import glob |
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9 | 9 | import time |
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10 | 10 | import numpy |
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11 | 11 | import fnmatch |
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12 | 12 | import time, datetime |
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13 | 13 | |
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14 | 14 | from jrodata import * |
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15 | 15 | from jroheaderIO import * |
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16 | 16 | |
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17 | 17 | def isNumber(str): |
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18 | 18 | """ |
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19 | 19 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
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20 | 20 | |
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21 | 21 | Excepciones: |
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22 | 22 | Si un determinado string no puede ser convertido a numero |
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23 | 23 | Input: |
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24 | 24 | str, string al cual se le analiza para determinar si convertible a un numero o no |
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25 | 25 | |
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26 | 26 | Return: |
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27 | 27 | True : si el string es uno numerico |
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28 | 28 | False : no es un string numerico |
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29 | 29 | """ |
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30 | 30 | try: |
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31 | 31 | float( str ) |
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32 | 32 | return True |
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33 | 33 | except: |
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34 | 34 | return False |
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35 | 35 | |
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36 | 36 | def isThisFileinRange(filename, startUTSeconds, endUTSeconds): |
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37 | 37 | """ |
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38 | 38 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
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39 | 39 | |
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40 | 40 | Inputs: |
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41 | 41 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
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42 | 42 | |
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43 | 43 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
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44 | 44 | segundos contados desde 01/01/1970. |
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45 | 45 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
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46 | 46 | segundos contados desde 01/01/1970. |
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47 | 47 | |
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48 | 48 | Return: |
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49 | 49 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
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50 | 50 | fecha especificado, de lo contrario retorna False. |
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51 | 51 | |
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52 | 52 | Excepciones: |
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53 | 53 | Si el archivo no existe o no puede ser abierto |
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54 | 54 | Si la cabecera no puede ser leida. |
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55 | 55 | |
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56 | 56 | """ |
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57 | 57 | basicHeaderObj = BasicHeader() |
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58 | 58 | |
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59 | 59 | try: |
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60 | 60 | fp = open(filename,'rb') |
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61 | 61 | except: |
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62 | 62 | raise IOError, "The file %s can't be opened" %(filename) |
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63 | 63 | |
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64 | 64 | sts = basicHeaderObj.read(fp) |
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65 | 65 | fp.close() |
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66 | 66 | |
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67 | 67 | if not(sts): |
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68 | 68 | print "Skipping the file %s because it has not a valid header" %(filename) |
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69 | 69 | return 0 |
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70 | 70 | |
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71 | 71 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
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72 | 72 | return 0 |
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73 | 73 | |
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74 | 74 | return 1 |
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75 | 75 | |
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76 | 76 | def getlastFileFromPath(path, ext): |
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77 | 77 | """ |
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78 | 78 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
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79 | 79 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
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80 | 80 | |
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81 | 81 | Input: |
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82 | 82 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
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83 | 83 | ext : extension de los files contenidos en una carpeta |
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84 | 84 | |
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85 | 85 | Return: |
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86 | 86 | El ultimo file de una determinada carpeta, no se considera el path. |
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87 | 87 | """ |
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88 | 88 | validFilelist = [] |
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89 | 89 | fileList = os.listdir(path) |
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90 | 90 | |
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91 | 91 | # 0 1234 567 89A BCDE |
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92 | 92 | # H YYYY DDD SSS .ext |
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93 | 93 | |
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94 | 94 | for file in fileList: |
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95 | 95 | try: |
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96 | 96 | year = int(file[1:5]) |
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97 | 97 | doy = int(file[5:8]) |
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98 | 98 | |
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99 | 99 | if (os.path.splitext(file)[-1].upper() != ext.upper()) : continue |
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100 | 100 | except: |
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101 | 101 | continue |
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102 | 102 | |
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103 | 103 | validFilelist.append(file) |
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104 | 104 | |
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105 | 105 | if validFilelist: |
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106 | 106 | validFilelist = sorted( validFilelist, key=str.lower ) |
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107 | 107 | return validFilelist[-1] |
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108 | 108 | |
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109 | 109 | return None |
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110 | 110 | |
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111 | 111 | def checkForRealPath(path, year, doy, set, ext): |
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112 | 112 | """ |
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113 | 113 | Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path, |
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114 | 114 | Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar |
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115 | 115 | el path exacto de un determinado file. |
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116 | 116 | |
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117 | 117 | Example : |
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118 | 118 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
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119 | 119 | |
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120 | 120 | Entonces la funcion prueba con las siguientes combinaciones |
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121 | 121 | .../.../x2009307/y2009307367.ext |
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122 | 122 | .../.../x2009307/Y2009307367.ext |
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123 | 123 | .../.../X2009307/y2009307367.ext |
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124 | 124 | .../.../X2009307/Y2009307367.ext |
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125 | 125 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
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126 | 126 | |
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127 | 127 | Return: |
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128 | 128 | Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file |
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129 | 129 | caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas |
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130 | 130 | para el filename |
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131 | 131 | """ |
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132 | 132 | filepath = None |
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133 | 133 | find_flag = False |
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134 | 134 | filename = None |
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135 | 135 | |
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136 | 136 | if ext.lower() == ".r": #voltage |
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137 | 137 | header1 = "dD" |
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138 | 138 | header2 = "dD" |
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139 | 139 | elif ext.lower() == ".pdata": #spectra |
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140 | 140 | header1 = "dD" |
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141 | 141 | header2 = "pP" |
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142 | 142 | else: |
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143 | 143 | return None, filename |
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144 | 144 | |
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145 | 145 | for dir in header1: #barrido por las dos combinaciones posibles de "D" |
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146 | 146 | for fil in header2: #barrido por las dos combinaciones posibles de "D" |
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147 | 147 | doypath = "%s%04d%03d" % ( dir, year, doy ) #formo el nombre del directorio xYYYYDDD (x=d o x=D) |
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148 | 148 | filename = "%s%04d%03d%03d%s" % ( fil, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext |
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149 | 149 | filepath = os.path.join( path, doypath, filename ) #formo el path completo |
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150 | 150 | if os.path.exists( filepath ): #verifico que exista |
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151 | 151 | find_flag = True |
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152 | 152 | break |
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153 | 153 | if find_flag: |
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154 | 154 | break |
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155 | 155 | |
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156 | 156 | if not(find_flag): |
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157 | 157 | return None, filename |
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158 | 158 | |
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159 | 159 | return filepath, filename |
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160 | 160 | |
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161 | 161 | class JRODataIO: |
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162 | 162 | |
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163 | 163 | c = 3E8 |
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164 | 164 | |
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165 | 165 | isConfig = False |
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166 | 166 | |
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167 | 167 | basicHeaderObj = BasicHeader() |
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168 | 168 | |
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169 | 169 | systemHeaderObj = SystemHeader() |
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170 | 170 | |
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171 | 171 | radarControllerHeaderObj = RadarControllerHeader() |
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172 | 172 | |
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173 | 173 | processingHeaderObj = ProcessingHeader() |
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174 | 174 | |
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175 | 175 | online = 0 |
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176 | 176 | |
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177 | 177 | dtype = None |
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178 | 178 | |
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179 | 179 | pathList = [] |
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180 | 180 | |
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181 | 181 | filenameList = [] |
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182 | 182 | |
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183 | 183 | filename = None |
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184 | 184 | |
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185 | 185 | ext = None |
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186 | 186 | |
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187 | 187 | flagNoMoreFiles = 0 |
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188 | 188 | |
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189 | 189 | flagIsNewFile = 1 |
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190 | 190 | |
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191 | 191 | flagTimeBlock = 0 |
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192 | 192 | |
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193 | 193 | flagIsNewBlock = 0 |
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194 | 194 | |
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195 | 195 | fp = None |
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196 | 196 | |
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197 | 197 | firstHeaderSize = 0 |
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198 | 198 | |
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199 | 199 | basicHeaderSize = 24 |
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200 | 200 | |
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201 | 201 | versionFile = 1103 |
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202 | 202 | |
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203 | 203 | fileSize = None |
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204 | 204 | |
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205 | 205 | ippSeconds = None |
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206 | 206 | |
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207 | 207 | fileSizeByHeader = None |
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208 | 208 | |
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209 | 209 | fileIndex = None |
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210 | 210 | |
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211 | 211 | profileIndex = None |
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212 | 212 | |
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213 | 213 | blockIndex = None |
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214 | 214 | |
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215 | 215 | nTotalBlocks = None |
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216 | 216 | |
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217 | 217 | maxTimeStep = 30 |
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218 | 218 | |
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219 | 219 | lastUTTime = None |
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220 | 220 | |
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221 | 221 | datablock = None |
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222 | 222 | |
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223 | 223 | dataOut = None |
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224 | 224 | |
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225 | 225 | blocksize = None |
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226 | 226 | |
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227 | 227 | def __init__(self): |
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228 | 228 | |
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229 | 229 | raise ValueError, "Not implemented" |
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230 | 230 | |
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231 | 231 | def run(self): |
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232 | 232 | |
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233 | 233 | raise ValueError, "Not implemented" |
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234 | 234 | |
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235 | def getOuput(self): | |
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235 | def getOutput(self): | |
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236 | 236 | |
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237 | 237 | return self.dataOut |
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238 | 238 | |
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239 | 239 | class JRODataReader(JRODataIO): |
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240 | 240 | |
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241 | 241 | nReadBlocks = 0 |
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242 | 242 | |
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243 | 243 | delay = 60 #number of seconds waiting a new file |
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244 | 244 | |
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245 | 245 | nTries = 3 #quantity tries |
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246 | 246 | |
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247 | 247 | nFiles = 3 #number of files for searching |
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248 | 248 | |
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249 | 249 | |
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250 | 250 | def __init__(self): |
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251 | 251 | |
|
|
252 | 252 | """ |
|
|
253 | 253 | |
|
|
254 | 254 | """ |
|
|
255 | 255 | |
|
|
256 | 256 | raise ValueError, "This method has not been implemented" |
|
|
257 | 257 | |
|
|
258 | 258 | |
|
|
259 | 259 | def createObjByDefault(self): |
|
|
260 | 260 | """ |
|
|
261 | 261 | |
|
|
262 | 262 | """ |
|
|
263 | 263 | raise ValueError, "This method has not been implemented" |
|
|
264 | 264 | |
|
|
265 | 265 | def getBlockDimension(self): |
|
|
266 | 266 | |
|
|
267 | 267 | raise ValueError, "No implemented" |
|
|
268 | 268 | |
|
|
269 | 269 | def __searchFilesOffLine(self, |
|
|
270 | 270 | path, |
|
|
271 | 271 | startDate, |
|
|
272 | 272 | endDate, |
|
|
273 | 273 | startTime=datetime.time(0,0,0), |
|
|
274 | 274 | endTime=datetime.time(23,59,59), |
|
|
275 | 275 | set=None, |
|
|
276 | 276 | expLabel="", |
|
|
277 | 277 | ext=".r"): |
|
|
278 | 278 | dirList = [] |
|
|
279 | 279 | for thisPath in os.listdir(path): |
|
|
280 | 280 | if os.path.isdir(os.path.join(path,thisPath)): |
|
|
281 | 281 | dirList.append(thisPath) |
|
|
282 | 282 | |
|
|
283 | 283 | if not(dirList): |
|
|
284 | 284 | return None, None |
|
|
285 | 285 | |
|
|
286 | 286 | pathList = [] |
|
|
287 | 287 | dateList = [] |
|
|
288 | 288 | |
|
|
289 | 289 | thisDate = startDate |
|
|
290 | 290 | |
|
|
291 | 291 | while(thisDate <= endDate): |
|
|
292 | 292 | year = thisDate.timetuple().tm_year |
|
|
293 | 293 | doy = thisDate.timetuple().tm_yday |
|
|
294 | 294 | |
|
|
295 | 295 | match = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy)) |
|
|
296 | 296 | if len(match) == 0: |
|
|
297 | 297 | thisDate += datetime.timedelta(1) |
|
|
298 | 298 | continue |
|
|
299 | 299 | |
|
|
300 | 300 | pathList.append(os.path.join(path,match[0],expLabel)) |
|
|
301 | 301 | dateList.append(thisDate) |
|
|
302 | 302 | thisDate += datetime.timedelta(1) |
|
|
303 | 303 | |
|
|
304 | 304 | filenameList = [] |
|
|
305 | 305 | for index in range(len(pathList)): |
|
|
306 | 306 | |
|
|
307 | 307 | thisPath = pathList[index] |
|
|
308 | 308 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|
309 | 309 | fileList.sort() |
|
|
310 | 310 | |
|
|
311 | 311 | #Busqueda de datos en el rango de horas indicados |
|
|
312 | 312 | thisDate = dateList[index] |
|
|
313 | 313 | startDT = datetime.datetime.combine(thisDate, startTime) |
|
|
314 | 314 | endDT = datetime.datetime.combine(thisDate, endTime) |
|
|
315 | 315 | |
|
|
316 | 316 | startUtSeconds = time.mktime(startDT.timetuple()) |
|
|
317 | 317 | endUtSeconds = time.mktime(endDT.timetuple()) |
|
|
318 | 318 | |
|
|
319 | 319 | for file in fileList: |
|
|
320 | 320 | |
|
|
321 | 321 | filename = os.path.join(thisPath,file) |
|
|
322 | 322 | |
|
|
323 | 323 | if isThisFileinRange(filename, startUtSeconds, endUtSeconds): |
|
|
324 | 324 | filenameList.append(filename) |
|
|
325 | 325 | |
|
|
326 | 326 | if not(filenameList): |
|
|
327 | 327 | return None, None |
|
|
328 | 328 | |
|
|
329 | 329 | self.filenameList = filenameList |
|
|
330 | 330 | |
|
|
331 | 331 | return pathList, filenameList |
|
|
332 | 332 | |
|
|
333 | 333 | def __searchFilesOnLine(self, path, startDate=None, endDate=None, startTime=None, endTime=None, expLabel = "", ext = None): |
|
|
334 | 334 | |
|
|
335 | 335 | """ |
|
|
336 | 336 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y |
|
|
337 | 337 | devuelve el archivo encontrado ademas de otros datos. |
|
|
338 | 338 | |
|
|
339 | 339 | Input: |
|
|
340 | 340 | path : carpeta donde estan contenidos los files que contiene data |
|
|
341 | 341 | |
|
|
342 | 342 | startDate : Fecha inicial. Rechaza todos los directorios donde |
|
|
343 | 343 | file end time < startDate (obejto datetime.date) |
|
|
344 | 344 | |
|
|
345 | 345 | endDate : Fecha final. Rechaza todos los directorios donde |
|
|
346 | 346 | file start time > endDate (obejto datetime.date) |
|
|
347 | 347 | |
|
|
348 | 348 | startTime : Tiempo inicial. Rechaza todos los archivos donde |
|
|
349 | 349 | file end time < startTime (obejto datetime.time) |
|
|
350 | 350 | |
|
|
351 | 351 | endTime : Tiempo final. Rechaza todos los archivos donde |
|
|
352 | 352 | file start time > endTime (obejto datetime.time) |
|
|
353 | 353 | |
|
|
354 | 354 | expLabel : Nombre del subexperimento (subfolder) |
|
|
355 | 355 | |
|
|
356 | 356 | ext : extension de los files |
|
|
357 | 357 | |
|
|
358 | 358 | Return: |
|
|
359 | 359 | directory : eL directorio donde esta el file encontrado |
|
|
360 | 360 | filename : el ultimo file de una determinada carpeta |
|
|
361 | 361 | year : el anho |
|
|
362 | 362 | doy : el numero de dia del anho |
|
|
363 | 363 | set : el set del archivo |
|
|
364 | 364 | |
|
|
365 | 365 | |
|
|
366 | 366 | """ |
|
|
367 | 367 | dirList = [] |
|
|
368 | 368 | pathList = [] |
|
|
369 | 369 | directory = None |
|
|
370 | 370 | |
|
|
371 | 371 | #Filtra solo los directorios |
|
|
372 | 372 | for thisPath in os.listdir(path): |
|
|
373 | 373 | if os.path.isdir(os.path.join(path, thisPath)): |
|
|
374 | 374 | dirList.append(thisPath) |
|
|
375 | 375 | |
|
|
376 | 376 | if not(dirList): |
|
|
377 | 377 | return None, None, None, None, None |
|
|
378 | 378 | |
|
|
379 | 379 | dirList = sorted( dirList, key=str.lower ) |
|
|
380 | 380 | |
|
|
381 | 381 | if startDate: |
|
|
382 | 382 | startDateTime = datetime.datetime.combine(startDate, startTime) |
|
|
383 | 383 | thisDateTime = startDateTime |
|
|
384 | 384 | if endDate == None: endDateTime = startDateTime |
|
|
385 | 385 | else: endDateTime = datetime.datetime.combine(endDate, endTime) |
|
|
386 | 386 | |
|
|
387 | 387 | while(thisDateTime <= endDateTime): |
|
|
388 | 388 | year = thisDateTime.timetuple().tm_year |
|
|
389 | 389 | doy = thisDateTime.timetuple().tm_yday |
|
|
390 | 390 | |
|
|
391 | 391 | match = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy)) |
|
|
392 | 392 | if len(match) == 0: |
|
|
393 | 393 | thisDateTime += datetime.timedelta(1) |
|
|
394 | 394 | continue |
|
|
395 | 395 | |
|
|
396 | 396 | pathList.append(os.path.join(path,match[0], expLabel)) |
|
|
397 | 397 | thisDateTime += datetime.timedelta(1) |
|
|
398 | 398 | |
|
|
399 | 399 | if not(pathList): |
|
|
400 | 400 | print "\tNo files in range: %s - %s" %(startDateTime.ctime(), endDateTime.ctime()) |
|
|
401 | 401 | return None, None, None, None, None |
|
|
402 | 402 | |
|
|
403 | 403 | directory = pathList[0] |
|
|
404 | 404 | |
|
|
405 | 405 | else: |
|
|
406 | 406 | directory = dirList[-1] |
|
|
407 | 407 | directory = os.path.join(path,directory) |
|
|
408 | 408 | |
|
|
409 | 409 | filename = getlastFileFromPath(directory, ext) |
|
|
410 | 410 | |
|
|
411 | 411 | if not(filename): |
|
|
412 | 412 | return None, None, None, None, None |
|
|
413 | 413 | |
|
|
414 | 414 | if not(self.__verifyFile(os.path.join(directory, filename))): |
|
|
415 | 415 | return None, None, None, None, None |
|
|
416 | 416 | |
|
|
417 | 417 | year = int( filename[1:5] ) |
|
|
418 | 418 | doy = int( filename[5:8] ) |
|
|
419 | 419 | set = int( filename[8:11] ) |
|
|
420 | 420 | |
|
|
421 | 421 | return directory, filename, year, doy, set |
|
|
422 | 422 | |
|
|
423 | 423 | def setup(self, |
|
|
424 | 424 | path=None, |
|
|
425 | 425 | startDate=None, |
|
|
426 | 426 | endDate=None, |
|
|
427 | 427 | startTime=datetime.time(0,0,0), |
|
|
428 | 428 | endTime=datetime.time(23,59,59), |
|
|
429 | 429 | set=0, |
|
|
430 | 430 | expLabel = "", |
|
|
431 | 431 | ext = None, |
|
|
432 | 432 | online = False, |
|
|
433 | 433 | delay = 60): |
|
|
434 | 434 | |
|
|
435 | 435 | if path == None: |
|
|
436 | 436 | raise ValueError, "The path is not valid" |
|
|
437 | 437 | |
|
|
438 | 438 | if ext == None: |
|
|
439 | 439 | ext = self.ext |
|
|
440 | 440 | |
|
|
441 | 441 | if online: |
|
|
442 | 442 | print "Searching files in online mode..." |
|
|
443 | 443 | doypath, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext) |
|
|
444 | 444 | |
|
|
445 | 445 | if not(doypath): |
|
|
446 | 446 | for nTries in range( self.nTries ): |
|
|
447 | 447 | print '\tWaiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1) |
|
|
448 | 448 | time.sleep( self.delay ) |
|
|
449 | 449 | doypath, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=exp) |
|
|
450 | 450 | if doypath: |
|
|
451 | 451 | break |
|
|
452 | 452 | |
|
|
453 | 453 | if not(doypath): |
|
|
454 | 454 | print "There 'isn't valied files in %s" % path |
|
|
455 | 455 | return None |
|
|
456 | 456 | |
|
|
457 | 457 | self.year = year |
|
|
458 | 458 | self.doy = doy |
|
|
459 | 459 | self.set = set - 1 |
|
|
460 | 460 | self.path = path |
|
|
461 | 461 | |
|
|
462 | 462 | else: |
|
|
463 | 463 | print "Searching files in offline mode ..." |
|
|
464 | 464 | pathList, filenameList = self.__searchFilesOffLine(path, startDate, endDate, startTime, endTime, set, expLabel, ext) |
|
|
465 | 465 | |
|
|
466 | 466 | if not(pathList): |
|
|
467 | 467 | print "No *%s files into the folder %s \nfor the range: %s - %s"%(ext, path, |
|
|
468 | 468 | datetime.datetime.combine(startDate,startTime).ctime(), |
|
|
469 | 469 | datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
470 | 470 | |
|
|
471 | 471 | sys.exit(-1) |
|
|
472 | 472 | |
|
|
473 | 473 | |
|
|
474 | 474 | self.fileIndex = -1 |
|
|
475 | 475 | self.pathList = pathList |
|
|
476 | 476 | self.filenameList = filenameList |
|
|
477 | 477 | |
|
|
478 | 478 | self.online = online |
|
|
479 | 479 | self.delay = delay |
|
|
480 | 480 | ext = ext.lower() |
|
|
481 | 481 | self.ext = ext |
|
|
482 | 482 | |
|
|
483 | 483 | if not(self.setNextFile()): |
|
|
484 | 484 | if (startDate!=None) and (endDate!=None): |
|
|
485 | 485 | print "No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
486 | 486 | elif startDate != None: |
|
|
487 | 487 | print "No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime()) |
|
|
488 | 488 | else: |
|
|
489 | 489 | print "No files" |
|
|
490 | 490 | |
|
|
491 | 491 | sys.exit(-1) |
|
|
492 | 492 | |
|
|
493 | 493 | # self.updateDataHeader() |
|
|
494 | 494 | |
|
|
495 | 495 | return self.dataOut |
|
|
496 | 496 | |
|
|
497 | 497 | def __setNextFileOffline(self): |
|
|
498 | 498 | |
|
|
499 | 499 | idFile = self.fileIndex |
|
|
500 | 500 | |
|
|
501 | 501 | while (True): |
|
|
502 | 502 | idFile += 1 |
|
|
503 | 503 | if not(idFile < len(self.filenameList)): |
|
|
504 | 504 | self.flagNoMoreFiles = 1 |
|
|
505 | 505 | print "No more Files" |
|
|
506 | 506 | return 0 |
|
|
507 | 507 | |
|
|
508 | 508 | filename = self.filenameList[idFile] |
|
|
509 | 509 | |
|
|
510 | 510 | if not(self.__verifyFile(filename)): |
|
|
511 | 511 | continue |
|
|
512 | 512 | |
|
|
513 | 513 | fileSize = os.path.getsize(filename) |
|
|
514 | 514 | fp = open(filename,'rb') |
|
|
515 | 515 | break |
|
|
516 | 516 | |
|
|
517 | 517 | self.flagIsNewFile = 1 |
|
|
518 | 518 | self.fileIndex = idFile |
|
|
519 | 519 | self.filename = filename |
|
|
520 | 520 | self.fileSize = fileSize |
|
|
521 | 521 | self.fp = fp |
|
|
522 | 522 | |
|
|
523 | 523 | print "Setting the file: %s"%self.filename |
|
|
524 | 524 | |
|
|
525 | 525 | return 1 |
|
|
526 | 526 | |
|
|
527 | 527 | def __setNextFileOnline(self): |
|
|
528 | 528 | """ |
|
|
529 | 529 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si |
|
|
530 | 530 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files |
|
|
531 | 531 | siguientes. |
|
|
532 | 532 | |
|
|
533 | 533 | Affected: |
|
|
534 | 534 | self.flagIsNewFile |
|
|
535 | 535 | self.filename |
|
|
536 | 536 | self.fileSize |
|
|
537 | 537 | self.fp |
|
|
538 | 538 | self.set |
|
|
539 | 539 | self.flagNoMoreFiles |
|
|
540 | 540 | |
|
|
541 | 541 | Return: |
|
|
542 | 542 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado |
|
|
543 | 543 | 1 : si el file fue abierto con exito y esta listo a ser leido |
|
|
544 | 544 | |
|
|
545 | 545 | Excepciones: |
|
|
546 | 546 | Si un determinado file no puede ser abierto |
|
|
547 | 547 | """ |
|
|
548 | 548 | nFiles = 0 |
|
|
549 | 549 | fileOk_flag = False |
|
|
550 | 550 | firstTime_flag = True |
|
|
551 | 551 | |
|
|
552 | 552 | self.set += 1 |
|
|
553 | 553 | |
|
|
554 | 554 | #busca el 1er file disponible |
|
|
555 | 555 | file, filename = checkForRealPath( self.path, self.year, self.doy, self.set, self.ext ) |
|
|
556 | 556 | if file: |
|
|
557 | 557 | if self.__verifyFile(file, False): |
|
|
558 | 558 | fileOk_flag = True |
|
|
559 | 559 | |
|
|
560 | 560 | #si no encuentra un file entonces espera y vuelve a buscar |
|
|
561 | 561 | if not(fileOk_flag): |
|
|
562 | 562 | for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles |
|
|
563 | 563 | |
|
|
564 | 564 | if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces |
|
|
565 | 565 | tries = self.nTries |
|
|
566 | 566 | else: |
|
|
567 | 567 | tries = 1 #si no es la 1era vez entonces solo lo hace una vez |
|
|
568 | 568 | |
|
|
569 | 569 | for nTries in range( tries ): |
|
|
570 | 570 | if firstTime_flag: |
|
|
571 | 571 | print "\tWaiting %0.2f sec for the file \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 ) |
|
|
572 | 572 | time.sleep( self.delay ) |
|
|
573 | 573 | else: |
|
|
574 | 574 | print "\tSearching next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext) |
|
|
575 | 575 | |
|
|
576 | 576 | file, filename = checkForRealPath( self.path, self.year, self.doy, self.set, self.ext ) |
|
|
577 | 577 | if file: |
|
|
578 | 578 | if self.__verifyFile(file): |
|
|
579 | 579 | fileOk_flag = True |
|
|
580 | 580 | break |
|
|
581 | 581 | |
|
|
582 | 582 | if fileOk_flag: |
|
|
583 | 583 | break |
|
|
584 | 584 | |
|
|
585 | 585 | firstTime_flag = False |
|
|
586 | 586 | |
|
|
587 | 587 | print "\tSkipping the file \"%s\" due to this file doesn't exist" % filename |
|
|
588 | 588 | self.set += 1 |
|
|
589 | 589 | |
|
|
590 | 590 | if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta |
|
|
591 | 591 | self.set = 0 |
|
|
592 | 592 | self.doy += 1 |
|
|
593 | 593 | |
|
|
594 | 594 | if fileOk_flag: |
|
|
595 | 595 | self.fileSize = os.path.getsize( file ) |
|
|
596 | 596 | self.filename = file |
|
|
597 | 597 | self.flagIsNewFile = 1 |
|
|
598 | 598 | if self.fp != None: self.fp.close() |
|
|
599 | 599 | self.fp = open(file) |
|
|
600 | 600 | self.flagNoMoreFiles = 0 |
|
|
601 | 601 | print 'Setting the file: %s' % file |
|
|
602 | 602 | else: |
|
|
603 | 603 | self.fileSize = 0 |
|
|
604 | 604 | self.filename = None |
|
|
605 | 605 | self.flagIsNewFile = 0 |
|
|
606 | 606 | self.fp = None |
|
|
607 | 607 | self.flagNoMoreFiles = 1 |
|
|
608 | 608 | print 'No more Files' |
|
|
609 | 609 | |
|
|
610 | 610 | return fileOk_flag |
|
|
611 | 611 | |
|
|
612 | 612 | |
|
|
613 | 613 | def setNextFile(self): |
|
|
614 | 614 | if self.fp != None: |
|
|
615 | 615 | self.fp.close() |
|
|
616 | 616 | |
|
|
617 | 617 | if self.online: |
|
|
618 | 618 | newFile = self.__setNextFileOnline() |
|
|
619 | 619 | else: |
|
|
620 | 620 | newFile = self.__setNextFileOffline() |
|
|
621 | 621 | |
|
|
622 | 622 | if not(newFile): |
|
|
623 | 623 | return 0 |
|
|
624 | 624 | |
|
|
625 | 625 | self.__readFirstHeader() |
|
|
626 | 626 | self.nReadBlocks = 0 |
|
|
627 | 627 | return 1 |
|
|
628 | 628 | |
|
|
629 | 629 | def __setNewBlock(self): |
|
|
630 | 630 | if self.fp == None: |
|
|
631 | 631 | return 0 |
|
|
632 | 632 | |
|
|
633 | 633 | if self.flagIsNewFile: |
|
|
634 | 634 | return 1 |
|
|
635 | 635 | |
|
|
636 | 636 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
637 | 637 | currentSize = self.fileSize - self.fp.tell() |
|
|
638 | 638 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
639 | 639 | |
|
|
640 | 640 | if (currentSize >= neededSize): |
|
|
641 | 641 | self.__rdBasicHeader() |
|
|
642 | 642 | return 1 |
|
|
643 | 643 | |
|
|
644 | 644 | if not(self.setNextFile()): |
|
|
645 | 645 | return 0 |
|
|
646 | 646 | |
|
|
647 | 647 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime # |
|
|
648 | 648 | |
|
|
649 | 649 | self.flagTimeBlock = 0 |
|
|
650 | 650 | |
|
|
651 | 651 | if deltaTime > self.maxTimeStep: |
|
|
652 | 652 | self.flagTimeBlock = 1 |
|
|
653 | 653 | |
|
|
654 | 654 | return 1 |
|
|
655 | 655 | |
|
|
656 | 656 | |
|
|
657 | 657 | def readNextBlock(self): |
|
|
658 | 658 | if not(self.__setNewBlock()): |
|
|
659 | 659 | return 0 |
|
|
660 | 660 | |
|
|
661 | 661 | if not(self.readBlock()): |
|
|
662 | 662 | return 0 |
|
|
663 | 663 | |
|
|
664 | 664 | return 1 |
|
|
665 | 665 | |
|
|
666 | 666 | def __rdProcessingHeader(self, fp=None): |
|
|
667 | 667 | if fp == None: |
|
|
668 | 668 | fp = self.fp |
|
|
669 | 669 | |
|
|
670 | 670 | self.processingHeaderObj.read(fp) |
|
|
671 | 671 | |
|
|
672 | 672 | def __rdRadarControllerHeader(self, fp=None): |
|
|
673 | 673 | if fp == None: |
|
|
674 | 674 | fp = self.fp |
|
|
675 | 675 | |
|
|
676 | 676 | self.radarControllerHeaderObj.read(fp) |
|
|
677 | 677 | |
|
|
678 | 678 | def __rdSystemHeader(self, fp=None): |
|
|
679 | 679 | if fp == None: |
|
|
680 | 680 | fp = self.fp |
|
|
681 | 681 | |
|
|
682 | 682 | self.systemHeaderObj.read(fp) |
|
|
683 | 683 | |
|
|
684 | 684 | def __rdBasicHeader(self, fp=None): |
|
|
685 | 685 | if fp == None: |
|
|
686 | 686 | fp = self.fp |
|
|
687 | 687 | |
|
|
688 | 688 | self.basicHeaderObj.read(fp) |
|
|
689 | 689 | |
|
|
690 | 690 | |
|
|
691 | 691 | def __readFirstHeader(self): |
|
|
692 | 692 | self.__rdBasicHeader() |
|
|
693 | 693 | self.__rdSystemHeader() |
|
|
694 | 694 | self.__rdRadarControllerHeader() |
|
|
695 | 695 | self.__rdProcessingHeader() |
|
|
696 | 696 | |
|
|
697 | 697 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
698 | 698 | |
|
|
699 | 699 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
700 | 700 | if datatype == 0: |
|
|
701 | 701 | datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
702 | 702 | elif datatype == 1: |
|
|
703 | 703 | datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
704 | 704 | elif datatype == 2: |
|
|
705 | 705 | datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
706 | 706 | elif datatype == 3: |
|
|
707 | 707 | datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
708 | 708 | elif datatype == 4: |
|
|
709 | 709 | datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
710 | 710 | elif datatype == 5: |
|
|
711 | 711 | datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
712 | 712 | else: |
|
|
713 | 713 | raise ValueError, 'Data type was not defined' |
|
|
714 | 714 | |
|
|
715 | 715 | self.dtype = datatype_str |
|
|
716 | 716 | self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
717 | 717 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
718 | 718 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
719 | 719 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
720 | 720 | self.getBlockDimension() |
|
|
721 | 721 | |
|
|
722 | 722 | |
|
|
723 | 723 | def __verifyFile(self, filename, msgFlag=True): |
|
|
724 | 724 | msg = None |
|
|
725 | 725 | try: |
|
|
726 | 726 | fp = open(filename, 'rb') |
|
|
727 | 727 | currentPosition = fp.tell() |
|
|
728 | 728 | except: |
|
|
729 | 729 | if msgFlag: |
|
|
730 | 730 | print "The file %s can't be opened" % (filename) |
|
|
731 | 731 | return False |
|
|
732 | 732 | |
|
|
733 | 733 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize |
|
|
734 | 734 | |
|
|
735 | 735 | if neededSize == 0: |
|
|
736 | 736 | basicHeaderObj = BasicHeader() |
|
|
737 | 737 | systemHeaderObj = SystemHeader() |
|
|
738 | 738 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
739 | 739 | processingHeaderObj = ProcessingHeader() |
|
|
740 | 740 | |
|
|
741 | 741 | try: |
|
|
742 | 742 | if not( basicHeaderObj.read(fp) ): raise ValueError |
|
|
743 | 743 | if not( systemHeaderObj.read(fp) ): raise ValueError |
|
|
744 | 744 | if not( radarControllerHeaderObj.read(fp) ): raise ValueError |
|
|
745 | 745 | if not( processingHeaderObj.read(fp) ): raise ValueError |
|
|
746 | 746 | data_type = int(numpy.log2((processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
747 | 747 | |
|
|
748 | 748 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size |
|
|
749 | 749 | |
|
|
750 | 750 | except: |
|
|
751 | 751 | if msgFlag: |
|
|
752 | 752 | print "\tThe file %s is empty or it hasn't enough data" % filename |
|
|
753 | 753 | |
|
|
754 | 754 | fp.close() |
|
|
755 | 755 | return False |
|
|
756 | 756 | else: |
|
|
757 | 757 | msg = "\tSkipping the file %s due to it hasn't enough data" %filename |
|
|
758 | 758 | |
|
|
759 | 759 | fp.close() |
|
|
760 | 760 | fileSize = os.path.getsize(filename) |
|
|
761 | 761 | currentSize = fileSize - currentPosition |
|
|
762 | 762 | if currentSize < neededSize: |
|
|
763 | 763 | if msgFlag and (msg != None): |
|
|
764 | 764 | print msg #print"\tSkipping the file %s due to it hasn't enough data" %filename |
|
|
765 | 765 | return False |
|
|
766 | 766 | |
|
|
767 | 767 | return True |
|
|
768 | 768 | |
|
|
769 | 769 | def getData(): |
|
|
770 | 770 | pass |
|
|
771 | 771 | |
|
|
772 | 772 | def hasNotDataInBuffer(): |
|
|
773 | 773 | pass |
|
|
774 | 774 | |
|
|
775 | 775 | def readBlock(): |
|
|
776 | 776 | pass |
|
|
777 | 777 | |
|
|
778 | 778 | def run(self, **kwargs): |
|
|
779 | 779 | |
|
|
780 | 780 | if not(self.isConfig): |
|
|
781 | 781 | |
|
|
782 | 782 | # self.dataOut = dataOut |
|
|
783 | 783 | self.setup(**kwargs) |
|
|
784 | 784 | self.isConfig = True |
|
|
785 | 785 | |
|
|
786 | 786 | self.getData() |
|
|
787 | 787 | |
|
|
788 | 788 | class JRODataWriter(JRODataIO): |
|
|
789 | 789 | |
|
|
790 | 790 | """ |
|
|
791 | 791 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
792 | 792 | de los datos siempre se realiza por bloques. |
|
|
793 | 793 | """ |
|
|
794 | 794 | |
|
|
795 | 795 | blockIndex = 0 |
|
|
796 | 796 | |
|
|
797 | 797 | path = None |
|
|
798 | 798 | |
|
|
799 | 799 | setFile = None |
|
|
800 | 800 | |
|
|
801 | 801 | profilesPerBlock = None |
|
|
802 | 802 | |
|
|
803 | 803 | blocksPerFile = None |
|
|
804 | 804 | |
|
|
805 | 805 | nWriteBlocks = 0 |
|
|
806 | 806 | |
|
|
807 | 807 | def __init__(self, dataOut=None): |
|
|
808 | 808 | raise ValueError, "Not implemented" |
|
|
809 | 809 | |
|
|
810 | 810 | |
|
|
811 | 811 | def hasAllDataInBuffer(self): |
|
|
812 | 812 | raise ValueError, "Not implemented" |
|
|
813 | 813 | |
|
|
814 | 814 | |
|
|
815 | 815 | def setBlockDimension(self): |
|
|
816 | 816 | raise ValueError, "Not implemented" |
|
|
817 | 817 | |
|
|
818 | 818 | |
|
|
819 | 819 | def writeBlock(self): |
|
|
820 | 820 | raise ValueError, "No implemented" |
|
|
821 | 821 | |
|
|
822 | 822 | |
|
|
823 | 823 | def putData(self): |
|
|
824 | 824 | raise ValueError, "No implemented" |
|
|
825 | 825 | |
|
|
826 | 826 | def getDataHeader(self): |
|
|
827 | 827 | """ |
|
|
828 | 828 | Obtiene una copia del First Header |
|
|
829 | 829 | |
|
|
830 | 830 | Affected: |
|
|
831 | 831 | |
|
|
832 | 832 | self.basicHeaderObj |
|
|
833 | 833 | self.systemHeaderObj |
|
|
834 | 834 | self.radarControllerHeaderObj |
|
|
835 | 835 | self.processingHeaderObj self. |
|
|
836 | 836 | |
|
|
837 | 837 | Return: |
|
|
838 | 838 | None |
|
|
839 | 839 | """ |
|
|
840 | 840 | |
|
|
841 | 841 | raise ValueError, "No implemented" |
|
|
842 | 842 | |
|
|
843 | 843 | def getBasicHeader(self): |
|
|
844 | 844 | |
|
|
845 | 845 | self.basicHeaderObj.size = self.basicHeaderSize #bytes |
|
|
846 | 846 | self.basicHeaderObj.version = self.versionFile |
|
|
847 | 847 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
848 | 848 | |
|
|
849 | 849 | utc = numpy.floor(self.dataOut.utctime) |
|
|
850 | 850 | milisecond = (self.dataOut.utctime - utc)* 1000.0 |
|
|
851 | 851 | |
|
|
852 | 852 | self.basicHeaderObj.utc = utc |
|
|
853 | 853 | self.basicHeaderObj.miliSecond = milisecond |
|
|
854 | 854 | self.basicHeaderObj.timeZone = 0 |
|
|
855 | 855 | self.basicHeaderObj.dstFlag = 0 |
|
|
856 | 856 | self.basicHeaderObj.errorCount = 0 |
|
|
857 | 857 | |
|
|
858 | 858 | def __writeFirstHeader(self): |
|
|
859 | 859 | """ |
|
|
860 | 860 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
861 | 861 | |
|
|
862 | 862 | Affected: |
|
|
863 | 863 | __dataType |
|
|
864 | 864 | |
|
|
865 | 865 | Return: |
|
|
866 | 866 | None |
|
|
867 | 867 | """ |
|
|
868 | 868 | |
|
|
869 | 869 | # CALCULAR PARAMETROS |
|
|
870 | 870 | |
|
|
871 | 871 | sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
872 | 872 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
873 | 873 | |
|
|
874 | 874 | self.basicHeaderObj.write(self.fp) |
|
|
875 | 875 | self.systemHeaderObj.write(self.fp) |
|
|
876 | 876 | self.radarControllerHeaderObj.write(self.fp) |
|
|
877 | 877 | self.processingHeaderObj.write(self.fp) |
|
|
878 | 878 | |
|
|
879 | 879 | self.dtype = self.dataOut.dtype |
|
|
880 | 880 | |
|
|
881 | 881 | def __setNewBlock(self): |
|
|
882 | 882 | """ |
|
|
883 | 883 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
884 | 884 | |
|
|
885 | 885 | Return: |
|
|
886 | 886 | 0 : si no pudo escribir nada |
|
|
887 | 887 | 1 : Si escribio el Basic el First Header |
|
|
888 | 888 | """ |
|
|
889 | 889 | if self.fp == None: |
|
|
890 | 890 | self.setNextFile() |
|
|
891 | 891 | |
|
|
892 | 892 | if self.flagIsNewFile: |
|
|
893 | 893 | return 1 |
|
|
894 | 894 | |
|
|
895 | 895 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
896 | 896 | self.basicHeaderObj.write(self.fp) |
|
|
897 | 897 | return 1 |
|
|
898 | 898 | |
|
|
899 | 899 | if not( self.setNextFile() ): |
|
|
900 | 900 | return 0 |
|
|
901 | 901 | |
|
|
902 | 902 | return 1 |
|
|
903 | 903 | |
|
|
904 | 904 | |
|
|
905 | 905 | def writeNextBlock(self): |
|
|
906 | 906 | """ |
|
|
907 | 907 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
908 | 908 | |
|
|
909 | 909 | Return: |
|
|
910 | 910 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
911 | 911 | 1 : Si no pudo escribir el bloque de datos |
|
|
912 | 912 | """ |
|
|
913 | 913 | if not( self.__setNewBlock() ): |
|
|
914 | 914 | return 0 |
|
|
915 | 915 | |
|
|
916 | 916 | self.writeBlock() |
|
|
917 | 917 | |
|
|
918 | 918 | return 1 |
|
|
919 | 919 | |
|
|
920 | 920 | def setNextFile(self): |
|
|
921 | 921 | """ |
|
|
922 | 922 | Determina el siguiente file que sera escrito |
|
|
923 | 923 | |
|
|
924 | 924 | Affected: |
|
|
925 | 925 | self.filename |
|
|
926 | 926 | self.subfolder |
|
|
927 | 927 | self.fp |
|
|
928 | 928 | self.setFile |
|
|
929 | 929 | self.flagIsNewFile |
|
|
930 | 930 | |
|
|
931 | 931 | Return: |
|
|
932 | 932 | 0 : Si el archivo no puede ser escrito |
|
|
933 | 933 | 1 : Si el archivo esta listo para ser escrito |
|
|
934 | 934 | """ |
|
|
935 | 935 | ext = self.ext |
|
|
936 | 936 | path = self.path |
|
|
937 | 937 | |
|
|
938 | 938 | if self.fp != None: |
|
|
939 | 939 | self.fp.close() |
|
|
940 | 940 | |
|
|
941 | 941 | timeTuple = time.localtime( self.dataOut.dataUtcTime) |
|
|
942 | 942 | subfolder = 'D%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|
943 | 943 | |
|
|
944 | 944 | doypath = os.path.join( path, subfolder ) |
|
|
945 | 945 | if not( os.path.exists(doypath) ): |
|
|
946 | 946 | os.mkdir(doypath) |
|
|
947 | 947 | self.setFile = -1 #inicializo mi contador de seteo |
|
|
948 | 948 | else: |
|
|
949 | 949 | filesList = os.listdir( doypath ) |
|
|
950 | 950 | if len( filesList ) > 0: |
|
|
951 | 951 | filesList = sorted( filesList, key=str.lower ) |
|
|
952 | 952 | filen = filesList[-1] |
|
|
953 | 953 | # el filename debera tener el siguiente formato |
|
|
954 | 954 | # 0 1234 567 89A BCDE (hex) |
|
|
955 | 955 | # x YYYY DDD SSS .ext |
|
|
956 | 956 | if isNumber( filen[8:11] ): |
|
|
957 | 957 | self.setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
|
958 | 958 | else: |
|
|
959 | 959 | self.setFile = -1 |
|
|
960 | 960 | else: |
|
|
961 | 961 | self.setFile = -1 #inicializo mi contador de seteo |
|
|
962 | 962 | |
|
|
963 | 963 | setFile = self.setFile |
|
|
964 | 964 | setFile += 1 |
|
|
965 | 965 | |
|
|
966 | 966 | file = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, |
|
|
967 | 967 | timeTuple.tm_year, |
|
|
968 | 968 | timeTuple.tm_yday, |
|
|
969 | 969 | setFile, |
|
|
970 | 970 | ext ) |
|
|
971 | 971 | |
|
|
972 | 972 | filename = os.path.join( path, subfolder, file ) |
|
|
973 | 973 | |
|
|
974 | 974 | fp = open( filename,'wb' ) |
|
|
975 | 975 | |
|
|
976 | 976 | self.blockIndex = 0 |
|
|
977 | 977 | |
|
|
978 | 978 | #guardando atributos |
|
|
979 | 979 | self.filename = filename |
|
|
980 | 980 | self.subfolder = subfolder |
|
|
981 | 981 | self.fp = fp |
|
|
982 | 982 | self.setFile = setFile |
|
|
983 | 983 | self.flagIsNewFile = 1 |
|
|
984 | 984 | |
|
|
985 | 985 | self.getDataHeader() |
|
|
986 | 986 | |
|
|
987 | 987 | print 'Writing the file: %s'%self.filename |
|
|
988 | 988 | |
|
|
989 | 989 | self.__writeFirstHeader() |
|
|
990 | 990 | |
|
|
991 | 991 | return 1 |
|
|
992 | 992 | |
|
|
993 | 993 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=None, set=0, ext=None): |
|
|
994 | 994 | """ |
|
|
995 | 995 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
996 | 996 | |
|
|
997 | 997 | Inputs: |
|
|
998 | 998 | path : el path destino en el cual se escribiran los files a crear |
|
|
999 | 999 | format : formato en el cual sera salvado un file |
|
|
1000 | 1000 | set : el setebo del file |
|
|
1001 | 1001 | |
|
|
1002 | 1002 | Return: |
|
|
1003 | 1003 | 0 : Si no realizo un buen seteo |
|
|
1004 | 1004 | 1 : Si realizo un buen seteo |
|
|
1005 | 1005 | """ |
|
|
1006 | 1006 | |
|
|
1007 | 1007 | if ext == None: |
|
|
1008 | 1008 | ext = self.ext |
|
|
1009 | 1009 | |
|
|
1010 | 1010 | ext = ext.lower() |
|
|
1011 | 1011 | |
|
|
1012 | 1012 | self.ext = ext |
|
|
1013 | 1013 | |
|
|
1014 | 1014 | self.path = path |
|
|
1015 | 1015 | |
|
|
1016 | 1016 | self.setFile = set - 1 |
|
|
1017 | 1017 | |
|
|
1018 | 1018 | self.blocksPerFile = blocksPerFile |
|
|
1019 | 1019 | |
|
|
1020 | 1020 | self.profilesPerBlock = profilesPerBlock |
|
|
1021 | 1021 | |
|
|
1022 | 1022 | self.dataOut = dataOut |
|
|
1023 | 1023 | |
|
|
1024 | 1024 | if not(self.setNextFile()): |
|
|
1025 | 1025 | print "There isn't a next file" |
|
|
1026 | 1026 | return 0 |
|
|
1027 | 1027 | |
|
|
1028 | 1028 | self.setBlockDimension() |
|
|
1029 | 1029 | |
|
|
1030 | 1030 | return 1 |
|
|
1031 | 1031 | |
|
|
1032 | 1032 | def run(self, dataOut, **kwargs): |
|
|
1033 | 1033 | |
|
|
1034 | 1034 | if not(self.isConfig): |
|
|
1035 | 1035 | |
|
|
1036 | 1036 | self.setup(dataOut, **kwargs) |
|
|
1037 | 1037 | self.isConfig = True |
|
|
1038 | 1038 | |
|
|
1039 | 1039 | self.putData() |
|
|
1040 | 1040 | |
|
|
1041 | 1041 | class VoltageReader(JRODataReader): |
|
|
1042 | 1042 | """ |
|
|
1043 | 1043 | Esta clase permite leer datos de voltage desde archivos en formato rawdata (.r). La lectura |
|
|
1044 | 1044 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones: |
|
|
1045 | 1045 | perfiles*alturas*canales) son almacenados en la variable "buffer". |
|
|
1046 | 1046 | |
|
|
1047 | 1047 | perfiles * alturas * canales |
|
|
1048 | 1048 | |
|
|
1049 | 1049 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|
1050 | 1050 | RadarControllerHeader y Voltage. Los tres primeros se usan para almacenar informacion de la |
|
|
1051 | 1051 | cabecera de datos (metadata), y el cuarto (Voltage) para obtener y almacenar un perfil de |
|
|
1052 | 1052 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|
1053 | 1053 | |
|
|
1054 | 1054 | Example: |
|
|
1055 | 1055 | |
|
|
1056 | 1056 | dpath = "/home/myuser/data" |
|
|
1057 | 1057 | |
|
|
1058 | 1058 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|
1059 | 1059 | |
|
|
1060 | 1060 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|
1061 | 1061 | |
|
|
1062 | 1062 | readerObj = VoltageReader() |
|
|
1063 | 1063 | |
|
|
1064 | 1064 | readerObj.setup(dpath, startTime, endTime) |
|
|
1065 | 1065 | |
|
|
1066 | 1066 | while(True): |
|
|
1067 | 1067 | |
|
|
1068 | 1068 | #to get one profile |
|
|
1069 | 1069 | profile = readerObj.getData() |
|
|
1070 | 1070 | |
|
|
1071 | 1071 | #print the profile |
|
|
1072 | 1072 | print profile |
|
|
1073 | 1073 | |
|
|
1074 | 1074 | #If you want to see all datablock |
|
|
1075 | 1075 | print readerObj.datablock |
|
|
1076 | 1076 | |
|
|
1077 | 1077 | if readerObj.flagNoMoreFiles: |
|
|
1078 | 1078 | break |
|
|
1079 | 1079 | |
|
|
1080 | 1080 | """ |
|
|
1081 | 1081 | |
|
|
1082 | 1082 | ext = ".r" |
|
|
1083 | 1083 | |
|
|
1084 | 1084 | optchar = "D" |
|
|
1085 | 1085 | dataOut = None |
|
|
1086 | 1086 | |
|
|
1087 | 1087 | |
|
|
1088 | 1088 | def __init__(self): |
|
|
1089 | 1089 | """ |
|
|
1090 | 1090 | Inicializador de la clase VoltageReader para la lectura de datos de voltage. |
|
|
1091 | 1091 | |
|
|
1092 | 1092 | Input: |
|
|
1093 | 1093 | dataOut : Objeto de la clase Voltage. Este objeto sera utilizado para |
|
|
1094 | 1094 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|
1095 | 1095 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|
1096 | 1096 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|
1097 | 1097 | bloque de datos. |
|
|
1098 | 1098 | Si este parametro no es pasado se creara uno internamente. |
|
|
1099 | 1099 | |
|
|
1100 | 1100 | Variables afectadas: |
|
|
1101 | 1101 | self.dataOut |
|
|
1102 | 1102 | |
|
|
1103 | 1103 | Return: |
|
|
1104 | 1104 | None |
|
|
1105 | 1105 | """ |
|
|
1106 | 1106 | |
|
|
1107 | 1107 | self.isConfig = False |
|
|
1108 | 1108 | |
|
|
1109 | 1109 | self.datablock = None |
|
|
1110 | 1110 | |
|
|
1111 | 1111 | self.utc = 0 |
|
|
1112 | 1112 | |
|
|
1113 | 1113 | self.ext = ".r" |
|
|
1114 | 1114 | |
|
|
1115 | 1115 | self.optchar = "D" |
|
|
1116 | 1116 | |
|
|
1117 | 1117 | self.basicHeaderObj = BasicHeader() |
|
|
1118 | 1118 | |
|
|
1119 | 1119 | self.systemHeaderObj = SystemHeader() |
|
|
1120 | 1120 | |
|
|
1121 | 1121 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
1122 | 1122 | |
|
|
1123 | 1123 | self.processingHeaderObj = ProcessingHeader() |
|
|
1124 | 1124 | |
|
|
1125 | 1125 | self.online = 0 |
|
|
1126 | 1126 | |
|
|
1127 | 1127 | self.fp = None |
|
|
1128 | 1128 | |
|
|
1129 | 1129 | self.idFile = None |
|
|
1130 | 1130 | |
|
|
1131 | 1131 | self.dtype = None |
|
|
1132 | 1132 | |
|
|
1133 | 1133 | self.fileSizeByHeader = None |
|
|
1134 | 1134 | |
|
|
1135 | 1135 | self.filenameList = [] |
|
|
1136 | 1136 | |
|
|
1137 | 1137 | self.filename = None |
|
|
1138 | 1138 | |
|
|
1139 | 1139 | self.fileSize = None |
|
|
1140 | 1140 | |
|
|
1141 | 1141 | self.firstHeaderSize = 0 |
|
|
1142 | 1142 | |
|
|
1143 | 1143 | self.basicHeaderSize = 24 |
|
|
1144 | 1144 | |
|
|
1145 | 1145 | self.pathList = [] |
|
|
1146 | 1146 | |
|
|
1147 | 1147 | self.filenameList = [] |
|
|
1148 | 1148 | |
|
|
1149 | 1149 | self.lastUTTime = 0 |
|
|
1150 | 1150 | |
|
|
1151 | 1151 | self.maxTimeStep = 30 |
|
|
1152 | 1152 | |
|
|
1153 | 1153 | self.flagNoMoreFiles = 0 |
|
|
1154 | 1154 | |
|
|
1155 | 1155 | self.set = 0 |
|
|
1156 | 1156 | |
|
|
1157 | 1157 | self.path = None |
|
|
1158 | 1158 | |
|
|
1159 | 1159 | self.profileIndex = 9999 |
|
|
1160 | 1160 | |
|
|
1161 | 1161 | self.delay = 3 #seconds |
|
|
1162 | 1162 | |
|
|
1163 | 1163 | self.nTries = 3 #quantity tries |
|
|
1164 | 1164 | |
|
|
1165 | 1165 | self.nFiles = 3 #number of files for searching |
|
|
1166 | 1166 | |
|
|
1167 | 1167 | self.nReadBlocks = 0 |
|
|
1168 | 1168 | |
|
|
1169 | 1169 | self.flagIsNewFile = 1 |
|
|
1170 | 1170 | |
|
|
1171 | 1171 | self.ippSeconds = 0 |
|
|
1172 | 1172 | |
|
|
1173 | 1173 | self.flagTimeBlock = 0 |
|
|
1174 | 1174 | |
|
|
1175 | 1175 | self.flagIsNewBlock = 0 |
|
|
1176 | 1176 | |
|
|
1177 | 1177 | self.nTotalBlocks = 0 |
|
|
1178 | 1178 | |
|
|
1179 | 1179 | self.blocksize = 0 |
|
|
1180 | 1180 | |
|
|
1181 | 1181 | self.dataOut = self.createObjByDefault() |
|
|
1182 | 1182 | |
|
|
1183 | 1183 | def createObjByDefault(self): |
|
|
1184 | 1184 | |
|
|
1185 | 1185 | dataObj = Voltage() |
|
|
1186 | 1186 | |
|
|
1187 | 1187 | return dataObj |
|
|
1188 | 1188 | |
|
|
1189 | 1189 | def __hasNotDataInBuffer(self): |
|
|
1190 | 1190 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|
1191 | 1191 | return 1 |
|
|
1192 | 1192 | return 0 |
|
|
1193 | 1193 | |
|
|
1194 | 1194 | |
|
|
1195 | 1195 | def getBlockDimension(self): |
|
|
1196 | 1196 | """ |
|
|
1197 | 1197 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|
1198 | 1198 | |
|
|
1199 | 1199 | Affected: |
|
|
1200 | 1200 | self.blocksize |
|
|
1201 | 1201 | |
|
|
1202 | 1202 | Return: |
|
|
1203 | 1203 | None |
|
|
1204 | 1204 | """ |
|
|
1205 | 1205 | pts2read = self.processingHeaderObj.profilesPerBlock * self.processingHeaderObj.nHeights * self.systemHeaderObj.nChannels |
|
|
1206 | 1206 | self.blocksize = pts2read |
|
|
1207 | 1207 | |
|
|
1208 | 1208 | |
|
|
1209 | 1209 | def readBlock(self): |
|
|
1210 | 1210 | """ |
|
|
1211 | 1211 | readBlock lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|
1212 | 1212 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|
1213 | 1213 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|
1214 | 1214 | es seteado a 0 |
|
|
1215 | 1215 | |
|
|
1216 | 1216 | Inputs: |
|
|
1217 | 1217 | None |
|
|
1218 | 1218 | |
|
|
1219 | 1219 | Return: |
|
|
1220 | 1220 | None |
|
|
1221 | 1221 | |
|
|
1222 | 1222 | Affected: |
|
|
1223 | 1223 | self.profileIndex |
|
|
1224 | 1224 | self.datablock |
|
|
1225 | 1225 | self.flagIsNewFile |
|
|
1226 | 1226 | self.flagIsNewBlock |
|
|
1227 | 1227 | self.nTotalBlocks |
|
|
1228 | 1228 | |
|
|
1229 | 1229 | Exceptions: |
|
|
1230 | 1230 | Si un bloque leido no es un bloque valido |
|
|
1231 | 1231 | """ |
|
|
1232 | 1232 | |
|
|
1233 | 1233 | junk = numpy.fromfile( self.fp, self.dtype, self.blocksize ) |
|
|
1234 | 1234 | |
|
|
1235 | 1235 | try: |
|
|
1236 | 1236 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) |
|
|
1237 | 1237 | except: |
|
|
1238 | 1238 | print "The read block (%3d) has not enough data" %self.nReadBlocks |
|
|
1239 | 1239 | return 0 |
|
|
1240 | 1240 | |
|
|
1241 | 1241 | junk = numpy.transpose(junk, (2,0,1)) |
|
|
1242 | 1242 | self.datablock = junk['real'] + junk['imag']*1j |
|
|
1243 | 1243 | |
|
|
1244 | 1244 | self.profileIndex = 0 |
|
|
1245 | 1245 | |
|
|
1246 | 1246 | self.flagIsNewFile = 0 |
|
|
1247 | 1247 | self.flagIsNewBlock = 1 |
|
|
1248 | 1248 | |
|
|
1249 | 1249 | self.nTotalBlocks += 1 |
|
|
1250 | 1250 | self.nReadBlocks += 1 |
|
|
1251 | 1251 | |
|
|
1252 | 1252 | return 1 |
|
|
1253 | 1253 | |
|
|
1254 | 1254 | |
|
|
1255 | 1255 | def getData(self): |
|
|
1256 | 1256 | """ |
|
|
1257 | 1257 | getData obtiene una unidad de datos del buffer de lectura y la copia a la clase "Voltage" |
|
|
1258 | 1258 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
|
|
1259 | 1259 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
|
|
1260 | 1260 | |
|
|
1261 | 1261 | Ademas incrementa el contador del buffer en 1. |
|
|
1262 | 1262 | |
|
|
1263 | 1263 | Return: |
|
|
1264 | 1264 | data : retorna un perfil de voltages (alturas * canales) copiados desde el |
|
|
1265 | 1265 | buffer. Si no hay mas archivos a leer retorna None. |
|
|
1266 | 1266 | |
|
|
1267 | 1267 | Variables afectadas: |
|
|
1268 | 1268 | self.dataOut |
|
|
1269 | 1269 | self.profileIndex |
|
|
1270 | 1270 | |
|
|
1271 | 1271 | Affected: |
|
|
1272 | 1272 | self.dataOut |
|
|
1273 | 1273 | self.profileIndex |
|
|
1274 | 1274 | self.flagTimeBlock |
|
|
1275 | 1275 | self.flagIsNewBlock |
|
|
1276 | 1276 | """ |
|
|
1277 | 1277 | if self.flagNoMoreFiles: return 0 |
|
|
1278 | 1278 | |
|
|
1279 | 1279 | self.flagTimeBlock = 0 |
|
|
1280 | 1280 | self.flagIsNewBlock = 0 |
|
|
1281 | 1281 | |
|
|
1282 | 1282 | if self.__hasNotDataInBuffer(): |
|
|
1283 | 1283 | |
|
|
1284 | 1284 | if not( self.readNextBlock() ): |
|
|
1285 | 1285 | return 0 |
|
|
1286 | 1286 | |
|
|
1287 | 1287 | # self.updateDataHeader() |
|
|
1288 | 1288 | |
|
|
1289 | 1289 | if self.flagNoMoreFiles == 1: |
|
|
1290 | 1290 | print 'Process finished' |
|
|
1291 | 1291 | return 0 |
|
|
1292 | 1292 | |
|
|
1293 | 1293 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
|
|
1294 | 1294 | |
|
|
1295 | 1295 | if self.datablock == None: |
|
|
1296 | 1296 | self.dataOut.flagNoData = True |
|
|
1297 | 1297 | return 0 |
|
|
1298 | 1298 | |
|
|
1299 | 1299 | self.dataOut.data = self.datablock[:,self.profileIndex,:] |
|
|
1300 | 1300 | |
|
|
1301 | 1301 | self.dataOut.dtype = self.dtype |
|
|
1302 | 1302 | |
|
|
1303 | 1303 | self.dataOut.nChannels = self.systemHeaderObj.nChannels |
|
|
1304 | 1304 | |
|
|
1305 | 1305 | self.dataOut.nHeights = self.processingHeaderObj.nHeights |
|
|
1306 | 1306 | |
|
|
1307 | 1307 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|
1308 | 1308 | |
|
|
1309 | 1309 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight |
|
|
1310 | 1310 | |
|
|
1311 | 1311 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
|
|
1312 | 1312 | |
|
|
1313 | 1313 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|
1314 | 1314 | |
|
|
1315 | 1315 | self.dataOut.channelIndexList = range(self.systemHeaderObj.nChannels) |
|
|
1316 | 1316 | |
|
|
1317 | 1317 | self.dataOut.flagTimeBlock = self.flagTimeBlock |
|
|
1318 | 1318 | |
|
|
1319 | 1319 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.ippSeconds |
|
|
1320 | 1320 | |
|
|
1321 | 1321 | self.dataOut.ippSeconds = self.ippSeconds |
|
|
1322 | 1322 | |
|
|
1323 | 1323 | self.dataOut.timeInterval = self.ippSeconds * self.processingHeaderObj.nCohInt |
|
|
1324 | 1324 | |
|
|
1325 | 1325 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|
1326 | 1326 | |
|
|
1327 | 1327 | self.dataOut.flagShiftFFT = False |
|
|
1328 | 1328 | |
|
|
1329 | 1329 | if self.processingHeaderObj.code != None: |
|
|
1330 | 1330 | self.dataOut.nCode = self.processingHeaderObj.nCode |
|
|
1331 | 1331 | |
|
|
1332 | 1332 | self.dataOut.nBaud = self.processingHeaderObj.nBaud |
|
|
1333 | 1333 | |
|
|
1334 | 1334 | self.dataOut.code = self.processingHeaderObj.code |
|
|
1335 | 1335 | |
|
|
1336 | 1336 | self.profileIndex += 1 |
|
|
1337 | 1337 | |
|
|
1338 | 1338 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|
1339 | 1339 | |
|
|
1340 | 1340 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|
1341 | 1341 | |
|
|
1342 | 1342 | self.dataOut.flagNoData = False |
|
|
1343 | 1343 | |
|
|
1344 | 1344 | # print self.profileIndex, self.dataOut.utctime |
|
|
1345 | 1345 | # if self.profileIndex == 800: |
|
|
1346 | 1346 | # a=1 |
|
|
1347 | 1347 | |
|
|
1348 | 1348 | return self.dataOut.data |
|
|
1349 | 1349 | |
|
|
1350 | 1350 | |
|
|
1351 | 1351 | class VoltageWriter(JRODataWriter): |
|
|
1352 | 1352 | """ |
|
|
1353 | 1353 | Esta clase permite escribir datos de voltajes a archivos procesados (.r). La escritura |
|
|
1354 | 1354 | de los datos siempre se realiza por bloques. |
|
|
1355 | 1355 | """ |
|
|
1356 | 1356 | |
|
|
1357 | 1357 | ext = ".r" |
|
|
1358 | 1358 | |
|
|
1359 | 1359 | optchar = "D" |
|
|
1360 | 1360 | |
|
|
1361 | 1361 | shapeBuffer = None |
|
|
1362 | 1362 | |
|
|
1363 | 1363 | |
|
|
1364 | 1364 | def __init__(self): |
|
|
1365 | 1365 | """ |
|
|
1366 | 1366 | Inicializador de la clase VoltageWriter para la escritura de datos de espectros. |
|
|
1367 | 1367 | |
|
|
1368 | 1368 | Affected: |
|
|
1369 | 1369 | self.dataOut |
|
|
1370 | 1370 | |
|
|
1371 | 1371 | Return: None |
|
|
1372 | 1372 | """ |
|
|
1373 | 1373 | |
|
|
1374 | 1374 | self.nTotalBlocks = 0 |
|
|
1375 | 1375 | |
|
|
1376 | 1376 | self.profileIndex = 0 |
|
|
1377 | 1377 | |
|
|
1378 | 1378 | self.isConfig = False |
|
|
1379 | 1379 | |
|
|
1380 | 1380 | self.fp = None |
|
|
1381 | 1381 | |
|
|
1382 | 1382 | self.flagIsNewFile = 1 |
|
|
1383 | 1383 | |
|
|
1384 | 1384 | self.nTotalBlocks = 0 |
|
|
1385 | 1385 | |
|
|
1386 | 1386 | self.flagIsNewBlock = 0 |
|
|
1387 | 1387 | |
|
|
1388 | 1388 | self.flagNoMoreFiles = 0 |
|
|
1389 | 1389 | |
|
|
1390 | 1390 | self.setFile = None |
|
|
1391 | 1391 | |
|
|
1392 | 1392 | self.dtype = None |
|
|
1393 | 1393 | |
|
|
1394 | 1394 | self.path = None |
|
|
1395 | 1395 | |
|
|
1396 | 1396 | self.noMoreFiles = 0 |
|
|
1397 | 1397 | |
|
|
1398 | 1398 | self.filename = None |
|
|
1399 | 1399 | |
|
|
1400 | 1400 | self.basicHeaderObj = BasicHeader() |
|
|
1401 | 1401 | |
|
|
1402 | 1402 | self.systemHeaderObj = SystemHeader() |
|
|
1403 | 1403 | |
|
|
1404 | 1404 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
1405 | 1405 | |
|
|
1406 | 1406 | self.processingHeaderObj = ProcessingHeader() |
|
|
1407 | 1407 | |
|
|
1408 | 1408 | def hasAllDataInBuffer(self): |
|
|
1409 | 1409 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|
1410 | 1410 | return 1 |
|
|
1411 | 1411 | return 0 |
|
|
1412 | 1412 | |
|
|
1413 | 1413 | |
|
|
1414 | 1414 | def setBlockDimension(self): |
|
|
1415 | 1415 | """ |
|
|
1416 | 1416 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|
1417 | 1417 | |
|
|
1418 | 1418 | Affected: |
|
|
1419 | 1419 | self.shape_spc_Buffer |
|
|
1420 | 1420 | self.shape_cspc_Buffer |
|
|
1421 | 1421 | self.shape_dc_Buffer |
|
|
1422 | 1422 | |
|
|
1423 | 1423 | Return: None |
|
|
1424 | 1424 | """ |
|
|
1425 | 1425 | self.shapeBuffer = (self.processingHeaderObj.profilesPerBlock, |
|
|
1426 | 1426 | self.processingHeaderObj.nHeights, |
|
|
1427 | 1427 | self.systemHeaderObj.nChannels) |
|
|
1428 | 1428 | |
|
|
1429 | 1429 | self.datablock = numpy.zeros((self.systemHeaderObj.nChannels, |
|
|
1430 | 1430 | self.processingHeaderObj.profilesPerBlock, |
|
|
1431 | 1431 | self.processingHeaderObj.nHeights), |
|
|
1432 | 1432 | dtype=numpy.dtype('complex')) |
|
|
1433 | 1433 | |
|
|
1434 | 1434 | |
|
|
1435 | 1435 | def writeBlock(self): |
|
|
1436 | 1436 | """ |
|
|
1437 | 1437 | Escribe el buffer en el file designado |
|
|
1438 | 1438 | |
|
|
1439 | 1439 | Affected: |
|
|
1440 | 1440 | self.profileIndex |
|
|
1441 | 1441 | self.flagIsNewFile |
|
|
1442 | 1442 | self.flagIsNewBlock |
|
|
1443 | 1443 | self.nTotalBlocks |
|
|
1444 | 1444 | self.blockIndex |
|
|
1445 | 1445 | |
|
|
1446 | 1446 | Return: None |
|
|
1447 | 1447 | """ |
|
|
1448 | 1448 | data = numpy.zeros( self.shapeBuffer, self.dtype ) |
|
|
1449 | 1449 | |
|
|
1450 | 1450 | junk = numpy.transpose(self.datablock, (1,2,0)) |
|
|
1451 | 1451 | |
|
|
1452 | 1452 | data['real'] = junk.real |
|
|
1453 | 1453 | data['imag'] = junk.imag |
|
|
1454 | 1454 | |
|
|
1455 | 1455 | data = data.reshape( (-1) ) |
|
|
1456 | 1456 | |
|
|
1457 | 1457 | data.tofile( self.fp ) |
|
|
1458 | 1458 | |
|
|
1459 | 1459 | self.datablock.fill(0) |
|
|
1460 | 1460 | |
|
|
1461 | 1461 | self.profileIndex = 0 |
|
|
1462 | 1462 | self.flagIsNewFile = 0 |
|
|
1463 | 1463 | self.flagIsNewBlock = 1 |
|
|
1464 | 1464 | |
|
|
1465 | 1465 | self.blockIndex += 1 |
|
|
1466 | 1466 | self.nTotalBlocks += 1 |
|
|
1467 | 1467 | |
|
|
1468 | 1468 | def putData(self): |
|
|
1469 | 1469 | """ |
|
|
1470 | 1470 | Setea un bloque de datos y luego los escribe en un file |
|
|
1471 | 1471 | |
|
|
1472 | 1472 | Affected: |
|
|
1473 | 1473 | self.flagIsNewBlock |
|
|
1474 | 1474 | self.profileIndex |
|
|
1475 | 1475 | |
|
|
1476 | 1476 | Return: |
|
|
1477 | 1477 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|
1478 | 1478 | 1 : Si se escribio la data de un bloque en un file |
|
|
1479 | 1479 | """ |
|
|
1480 | 1480 | if self.dataOut.flagNoData: |
|
|
1481 | 1481 | return 0 |
|
|
1482 | 1482 | |
|
|
1483 | 1483 | self.flagIsNewBlock = 0 |
|
|
1484 | 1484 | |
|
|
1485 | 1485 | if self.dataOut.flagTimeBlock: |
|
|
1486 | 1486 | |
|
|
1487 | 1487 | self.datablock.fill(0) |
|
|
1488 | 1488 | self.profileIndex = 0 |
|
|
1489 | 1489 | self.setNextFile() |
|
|
1490 | 1490 | |
|
|
1491 | 1491 | if self.profileIndex == 0: |
|
|
1492 | 1492 | self.getBasicHeader() |
|
|
1493 | 1493 | |
|
|
1494 | 1494 | self.datablock[:,self.profileIndex,:] = self.dataOut.data |
|
|
1495 | 1495 | |
|
|
1496 | 1496 | self.profileIndex += 1 |
|
|
1497 | 1497 | |
|
|
1498 | 1498 | if self.hasAllDataInBuffer(): |
|
|
1499 | 1499 | #if self.flagIsNewFile: |
|
|
1500 | 1500 | self.writeNextBlock() |
|
|
1501 | 1501 | # self.getDataHeader() |
|
|
1502 | 1502 | |
|
|
1503 | 1503 | if self.flagNoMoreFiles: |
|
|
1504 | 1504 | #print 'Process finished' |
|
|
1505 | 1505 | return 0 |
|
|
1506 | 1506 | |
|
|
1507 | 1507 | return 1 |
|
|
1508 | 1508 | |
|
|
1509 | 1509 | def __getProcessFlags(self): |
|
|
1510 | 1510 | |
|
|
1511 | 1511 | processFlags = 0 |
|
|
1512 | 1512 | |
|
|
1513 | 1513 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
1514 | 1514 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
1515 | 1515 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
1516 | 1516 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
1517 | 1517 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
1518 | 1518 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
1519 | 1519 | |
|
|
1520 | 1520 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
1521 | 1521 | |
|
|
1522 | 1522 | |
|
|
1523 | 1523 | |
|
|
1524 | 1524 | datatypeValueList = [PROCFLAG.DATATYPE_CHAR, |
|
|
1525 | 1525 | PROCFLAG.DATATYPE_SHORT, |
|
|
1526 | 1526 | PROCFLAG.DATATYPE_LONG, |
|
|
1527 | 1527 | PROCFLAG.DATATYPE_INT64, |
|
|
1528 | 1528 | PROCFLAG.DATATYPE_FLOAT, |
|
|
1529 | 1529 | PROCFLAG.DATATYPE_DOUBLE] |
|
|
1530 | 1530 | |
|
|
1531 | 1531 | |
|
|
1532 | 1532 | for index in range(len(dtypeList)): |
|
|
1533 | 1533 | if self.dataOut.dtype == dtypeList[index]: |
|
|
1534 | 1534 | dtypeValue = datatypeValueList[index] |
|
|
1535 | 1535 | break |
|
|
1536 | 1536 | |
|
|
1537 | 1537 | processFlags += dtypeValue |
|
|
1538 | 1538 | |
|
|
1539 | 1539 | if self.dataOut.flagDecodeData: |
|
|
1540 | 1540 | processFlags += PROCFLAG.DECODE_DATA |
|
|
1541 | 1541 | |
|
|
1542 | 1542 | if self.dataOut.flagDeflipData: |
|
|
1543 | 1543 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
1544 | 1544 | |
|
|
1545 | 1545 | if self.dataOut.code != None: |
|
|
1546 | 1546 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
1547 | 1547 | |
|
|
1548 | 1548 | if self.dataOut.nCohInt > 1: |
|
|
1549 | 1549 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
|
1550 | 1550 | |
|
|
1551 | 1551 | return processFlags |
|
|
1552 | 1552 | |
|
|
1553 | 1553 | |
|
|
1554 | 1554 | def __getBlockSize(self): |
|
|
1555 | 1555 | ''' |
|
|
1556 | 1556 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Voltage |
|
|
1557 | 1557 | ''' |
|
|
1558 | 1558 | |
|
|
1559 | 1559 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
1560 | 1560 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
1561 | 1561 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
1562 | 1562 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
1563 | 1563 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
1564 | 1564 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
1565 | 1565 | |
|
|
1566 | 1566 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
1567 | 1567 | datatypeValueList = [1,2,4,8,4,8] |
|
|
1568 | 1568 | for index in range(len(dtypeList)): |
|
|
1569 | 1569 | if self.dataOut.dtype == dtypeList[index]: |
|
|
1570 | 1570 | datatypeValue = datatypeValueList[index] |
|
|
1571 | 1571 | break |
|
|
1572 | 1572 | |
|
|
1573 | 1573 | blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * self.dataOut.nProfiles * datatypeValue * 2) |
|
|
1574 | 1574 | |
|
|
1575 | 1575 | return blocksize |
|
|
1576 | 1576 | |
|
|
1577 | 1577 | def getDataHeader(self): |
|
|
1578 | 1578 | |
|
|
1579 | 1579 | """ |
|
|
1580 | 1580 | Obtiene una copia del First Header |
|
|
1581 | 1581 | |
|
|
1582 | 1582 | Affected: |
|
|
1583 | 1583 | self.systemHeaderObj |
|
|
1584 | 1584 | self.radarControllerHeaderObj |
|
|
1585 | 1585 | self.dtype |
|
|
1586 | 1586 | |
|
|
1587 | 1587 | Return: |
|
|
1588 | 1588 | None |
|
|
1589 | 1589 | """ |
|
|
1590 | 1590 | |
|
|
1591 | 1591 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|
1592 | 1592 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|
1593 | 1593 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|
1594 | 1594 | |
|
|
1595 | 1595 | self.getBasicHeader() |
|
|
1596 | 1596 | |
|
|
1597 | 1597 | processingHeaderSize = 40 # bytes |
|
|
1598 | 1598 | self.processingHeaderObj.dtype = 0 # Voltage |
|
|
1599 | 1599 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|
1600 | 1600 | self.processingHeaderObj.profilesPerBlock = self.profilesPerBlock |
|
|
1601 | 1601 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|
1602 | 1602 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|
1603 | 1603 | self.processingHeaderObj.processFlags = self.__getProcessFlags() |
|
|
1604 | 1604 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt |
|
|
1605 | 1605 | self.processingHeaderObj.nIncohInt = 1 # Cuando la data de origen es de tipo Voltage |
|
|
1606 | 1606 | self.processingHeaderObj.totalSpectra = 0 # Cuando la data de origen es de tipo Voltage |
|
|
1607 | 1607 | |
|
|
1608 | 1608 | if self.dataOut.code != None: |
|
|
1609 | 1609 | self.processingHeaderObj.code = self.dataOut.code |
|
|
1610 | 1610 | self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|
1611 | 1611 | self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|
1612 | 1612 | codesize = int(8 + 4 * self.dataOut.nCode * self.dataOut.nBaud) |
|
|
1613 | 1613 | processingHeaderSize += codesize |
|
|
1614 | 1614 | |
|
|
1615 | 1615 | if self.processingHeaderObj.nWindows != 0: |
|
|
1616 | 1616 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|
1617 | 1617 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
1618 | 1618 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|
1619 | 1619 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|
1620 | 1620 | processingHeaderSize += 12 |
|
|
1621 | 1621 | |
|
|
1622 | 1622 | self.processingHeaderObj.size = processingHeaderSize |
|
|
1623 | 1623 | |
|
|
1624 | 1624 | class SpectraReader(JRODataReader): |
|
|
1625 | 1625 | """ |
|
|
1626 | 1626 | Esta clase permite leer datos de espectros desde archivos procesados (.pdata). La lectura |
|
|
1627 | 1627 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones) |
|
|
1628 | 1628 | son almacenados en tres buffer's para el Self Spectra, el Cross Spectra y el DC Channel. |
|
|
1629 | 1629 | |
|
|
1630 | 1630 | paresCanalesIguales * alturas * perfiles (Self Spectra) |
|
|
1631 | 1631 | paresCanalesDiferentes * alturas * perfiles (Cross Spectra) |
|
|
1632 | 1632 | canales * alturas (DC Channels) |
|
|
1633 | 1633 | |
|
|
1634 | 1634 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|
1635 | 1635 | RadarControllerHeader y Spectra. Los tres primeros se usan para almacenar informacion de la |
|
|
1636 | 1636 | cabecera de datos (metadata), y el cuarto (Spectra) para obtener y almacenar un bloque de |
|
|
1637 | 1637 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|
1638 | 1638 | |
|
|
1639 | 1639 | Example: |
|
|
1640 | 1640 | dpath = "/home/myuser/data" |
|
|
1641 | 1641 | |
|
|
1642 | 1642 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|
1643 | 1643 | |
|
|
1644 | 1644 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|
1645 | 1645 | |
|
|
1646 | 1646 | readerObj = SpectraReader() |
|
|
1647 | 1647 | |
|
|
1648 | 1648 | readerObj.setup(dpath, startTime, endTime) |
|
|
1649 | 1649 | |
|
|
1650 | 1650 | while(True): |
|
|
1651 | 1651 | |
|
|
1652 | 1652 | readerObj.getData() |
|
|
1653 | 1653 | |
|
|
1654 | 1654 | print readerObj.data_spc |
|
|
1655 | 1655 | |
|
|
1656 | 1656 | print readerObj.data_cspc |
|
|
1657 | 1657 | |
|
|
1658 | 1658 | print readerObj.data_dc |
|
|
1659 | 1659 | |
|
|
1660 | 1660 | if readerObj.flagNoMoreFiles: |
|
|
1661 | 1661 | break |
|
|
1662 | 1662 | |
|
|
1663 | 1663 | """ |
|
|
1664 | 1664 | |
|
|
1665 | 1665 | pts2read_SelfSpectra = 0 |
|
|
1666 | 1666 | |
|
|
1667 | 1667 | pts2read_CrossSpectra = 0 |
|
|
1668 | 1668 | |
|
|
1669 | 1669 | pts2read_DCchannels = 0 |
|
|
1670 | 1670 | |
|
|
1671 | 1671 | ext = ".pdata" |
|
|
1672 | 1672 | |
|
|
1673 | 1673 | optchar = "P" |
|
|
1674 | 1674 | |
|
|
1675 | 1675 | dataOut = None |
|
|
1676 | 1676 | |
|
|
1677 | 1677 | nRdChannels = None |
|
|
1678 | 1678 | |
|
|
1679 | 1679 | nRdPairs = None |
|
|
1680 | 1680 | |
|
|
1681 | 1681 | rdPairList = [] |
|
|
1682 | 1682 | |
|
|
1683 | 1683 | |
|
|
1684 | 1684 | def __init__(self): |
|
|
1685 | 1685 | """ |
|
|
1686 | 1686 | Inicializador de la clase SpectraReader para la lectura de datos de espectros. |
|
|
1687 | 1687 | |
|
|
1688 | 1688 | Inputs: |
|
|
1689 | 1689 | dataOut : Objeto de la clase Spectra. Este objeto sera utilizado para |
|
|
1690 | 1690 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|
1691 | 1691 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|
1692 | 1692 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|
1693 | 1693 | bloque de datos. |
|
|
1694 | 1694 | Si este parametro no es pasado se creara uno internamente. |
|
|
1695 | 1695 | |
|
|
1696 | 1696 | Affected: |
|
|
1697 | 1697 | self.dataOut |
|
|
1698 | 1698 | |
|
|
1699 | 1699 | Return : None |
|
|
1700 | 1700 | """ |
|
|
1701 | 1701 | |
|
|
1702 | 1702 | self.isConfig = False |
|
|
1703 | 1703 | |
|
|
1704 | 1704 | self.pts2read_SelfSpectra = 0 |
|
|
1705 | 1705 | |
|
|
1706 | 1706 | self.pts2read_CrossSpectra = 0 |
|
|
1707 | 1707 | |
|
|
1708 | 1708 | self.pts2read_DCchannels = 0 |
|
|
1709 | 1709 | |
|
|
1710 | 1710 | self.datablock = None |
|
|
1711 | 1711 | |
|
|
1712 | 1712 | self.utc = None |
|
|
1713 | 1713 | |
|
|
1714 | 1714 | self.ext = ".pdata" |
|
|
1715 | 1715 | |
|
|
1716 | 1716 | self.optchar = "P" |
|
|
1717 | 1717 | |
|
|
1718 | 1718 | self.basicHeaderObj = BasicHeader() |
|
|
1719 | 1719 | |
|
|
1720 | 1720 | self.systemHeaderObj = SystemHeader() |
|
|
1721 | 1721 | |
|
|
1722 | 1722 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
1723 | 1723 | |
|
|
1724 | 1724 | self.processingHeaderObj = ProcessingHeader() |
|
|
1725 | 1725 | |
|
|
1726 | 1726 | self.online = 0 |
|
|
1727 | 1727 | |
|
|
1728 | 1728 | self.fp = None |
|
|
1729 | 1729 | |
|
|
1730 | 1730 | self.idFile = None |
|
|
1731 | 1731 | |
|
|
1732 | 1732 | self.dtype = None |
|
|
1733 | 1733 | |
|
|
1734 | 1734 | self.fileSizeByHeader = None |
|
|
1735 | 1735 | |
|
|
1736 | 1736 | self.filenameList = [] |
|
|
1737 | 1737 | |
|
|
1738 | 1738 | self.filename = None |
|
|
1739 | 1739 | |
|
|
1740 | 1740 | self.fileSize = None |
|
|
1741 | 1741 | |
|
|
1742 | 1742 | self.firstHeaderSize = 0 |
|
|
1743 | 1743 | |
|
|
1744 | 1744 | self.basicHeaderSize = 24 |
|
|
1745 | 1745 | |
|
|
1746 | 1746 | self.pathList = [] |
|
|
1747 | 1747 | |
|
|
1748 | 1748 | self.lastUTTime = 0 |
|
|
1749 | 1749 | |
|
|
1750 | 1750 | self.maxTimeStep = 30 |
|
|
1751 | 1751 | |
|
|
1752 | 1752 | self.flagNoMoreFiles = 0 |
|
|
1753 | 1753 | |
|
|
1754 | 1754 | self.set = 0 |
|
|
1755 | 1755 | |
|
|
1756 | 1756 | self.path = None |
|
|
1757 | 1757 | |
|
|
1758 | 1758 | self.delay = 3 #seconds |
|
|
1759 | 1759 | |
|
|
1760 | 1760 | self.nTries = 3 #quantity tries |
|
|
1761 | 1761 | |
|
|
1762 | 1762 | self.nFiles = 3 #number of files for searching |
|
|
1763 | 1763 | |
|
|
1764 | 1764 | self.nReadBlocks = 0 |
|
|
1765 | 1765 | |
|
|
1766 | 1766 | self.flagIsNewFile = 1 |
|
|
1767 | 1767 | |
|
|
1768 | 1768 | self.ippSeconds = 0 |
|
|
1769 | 1769 | |
|
|
1770 | 1770 | self.flagTimeBlock = 0 |
|
|
1771 | 1771 | |
|
|
1772 | 1772 | self.flagIsNewBlock = 0 |
|
|
1773 | 1773 | |
|
|
1774 | 1774 | self.nTotalBlocks = 0 |
|
|
1775 | 1775 | |
|
|
1776 | 1776 | self.blocksize = 0 |
|
|
1777 | 1777 | |
|
|
1778 | 1778 | self.dataOut = self.createObjByDefault() |
|
|
1779 | 1779 | |
|
|
1780 | 1780 | |
|
|
1781 | 1781 | def createObjByDefault(self): |
|
|
1782 | 1782 | |
|
|
1783 | 1783 | dataObj = Spectra() |
|
|
1784 | 1784 | |
|
|
1785 | 1785 | return dataObj |
|
|
1786 | 1786 | |
|
|
1787 | 1787 | def __hasNotDataInBuffer(self): |
|
|
1788 | 1788 | return 1 |
|
|
1789 | 1789 | |
|
|
1790 | 1790 | |
|
|
1791 | 1791 | def getBlockDimension(self): |
|
|
1792 | 1792 | """ |
|
|
1793 | 1793 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|
1794 | 1794 | |
|
|
1795 | 1795 | Affected: |
|
|
1796 | 1796 | self.nRdChannels |
|
|
1797 | 1797 | self.nRdPairs |
|
|
1798 | 1798 | self.pts2read_SelfSpectra |
|
|
1799 | 1799 | self.pts2read_CrossSpectra |
|
|
1800 | 1800 | self.pts2read_DCchannels |
|
|
1801 | 1801 | self.blocksize |
|
|
1802 | 1802 | self.dataOut.nChannels |
|
|
1803 | 1803 | self.dataOut.nPairs |
|
|
1804 | 1804 | |
|
|
1805 | 1805 | Return: |
|
|
1806 | 1806 | None |
|
|
1807 | 1807 | """ |
|
|
1808 | 1808 | self.nRdChannels = 0 |
|
|
1809 | 1809 | self.nRdPairs = 0 |
|
|
1810 | 1810 | self.rdPairList = [] |
|
|
1811 | 1811 | |
|
|
1812 | 1812 | for i in range(0, self.processingHeaderObj.totalSpectra*2, 2): |
|
|
1813 | 1813 | if self.processingHeaderObj.spectraComb[i] == self.processingHeaderObj.spectraComb[i+1]: |
|
|
1814 | 1814 | self.nRdChannels = self.nRdChannels + 1 #par de canales iguales |
|
|
1815 | 1815 | else: |
|
|
1816 | 1816 | self.nRdPairs = self.nRdPairs + 1 #par de canales diferentes |
|
|
1817 | 1817 | self.rdPairList.append((self.processingHeaderObj.spectraComb[i], self.processingHeaderObj.spectraComb[i+1])) |
|
|
1818 | 1818 | |
|
|
1819 | 1819 | pts2read = self.processingHeaderObj.nHeights * self.processingHeaderObj.profilesPerBlock |
|
|
1820 | 1820 | |
|
|
1821 | 1821 | self.pts2read_SelfSpectra = int(self.nRdChannels * pts2read) |
|
|
1822 | 1822 | self.blocksize = self.pts2read_SelfSpectra |
|
|
1823 | 1823 | |
|
|
1824 | 1824 | if self.processingHeaderObj.flag_cspc: |
|
|
1825 | 1825 | self.pts2read_CrossSpectra = int(self.nRdPairs * pts2read) |
|
|
1826 | 1826 | self.blocksize += self.pts2read_CrossSpectra |
|
|
1827 | 1827 | |
|
|
1828 | 1828 | if self.processingHeaderObj.flag_dc: |
|
|
1829 | 1829 | self.pts2read_DCchannels = int(self.systemHeaderObj.nChannels * self.processingHeaderObj.nHeights) |
|
|
1830 | 1830 | self.blocksize += self.pts2read_DCchannels |
|
|
1831 | 1831 | |
|
|
1832 | 1832 | # self.blocksize = self.pts2read_SelfSpectra + self.pts2read_CrossSpectra + self.pts2read_DCchannels |
|
|
1833 | 1833 | |
|
|
1834 | 1834 | |
|
|
1835 | 1835 | def readBlock(self): |
|
|
1836 | 1836 | """ |
|
|
1837 | 1837 | Lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|
1838 | 1838 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|
1839 | 1839 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|
1840 | 1840 | es seteado a 0 |
|
|
1841 | 1841 | |
|
|
1842 | 1842 | Return: None |
|
|
1843 | 1843 | |
|
|
1844 | 1844 | Variables afectadas: |
|
|
1845 | 1845 | |
|
|
1846 | 1846 | self.flagIsNewFile |
|
|
1847 | 1847 | self.flagIsNewBlock |
|
|
1848 | 1848 | self.nTotalBlocks |
|
|
1849 | 1849 | self.data_spc |
|
|
1850 | 1850 | self.data_cspc |
|
|
1851 | 1851 | self.data_dc |
|
|
1852 | 1852 | |
|
|
1853 | 1853 | Exceptions: |
|
|
1854 | 1854 | Si un bloque leido no es un bloque valido |
|
|
1855 | 1855 | """ |
|
|
1856 | 1856 | blockOk_flag = False |
|
|
1857 | 1857 | fpointer = self.fp.tell() |
|
|
1858 | 1858 | |
|
|
1859 | 1859 | spc = numpy.fromfile( self.fp, self.dtype[0], self.pts2read_SelfSpectra ) |
|
|
1860 | 1860 | spc = spc.reshape( (self.nRdChannels, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
|
|
1861 | 1861 | |
|
|
1862 | 1862 | if self.processingHeaderObj.flag_cspc: |
|
|
1863 | 1863 | cspc = numpy.fromfile( self.fp, self.dtype, self.pts2read_CrossSpectra ) |
|
|
1864 | 1864 | cspc = cspc.reshape( (self.nRdPairs, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
|
|
1865 | 1865 | |
|
|
1866 | 1866 | if self.processingHeaderObj.flag_dc: |
|
|
1867 | 1867 | dc = numpy.fromfile( self.fp, self.dtype, self.pts2read_DCchannels ) #int(self.processingHeaderObj.nHeights*self.systemHeaderObj.nChannels) ) |
|
|
1868 | 1868 | dc = dc.reshape( (self.systemHeaderObj.nChannels, self.processingHeaderObj.nHeights) ) #transforma a un arreglo 2D |
|
|
1869 | 1869 | |
|
|
1870 | 1870 | |
|
|
1871 | 1871 | if not(self.processingHeaderObj.shif_fft): |
|
|
1872 | 1872 | spc = numpy.roll( spc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
1873 | 1873 | |
|
|
1874 | 1874 | if self.processingHeaderObj.flag_cspc: |
|
|
1875 | 1875 | cspc = numpy.roll( cspc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
1876 | 1876 | |
|
|
1877 | 1877 | |
|
|
1878 | 1878 | spc = numpy.transpose( spc, (0,2,1) ) |
|
|
1879 | 1879 | self.data_spc = spc |
|
|
1880 | 1880 | |
|
|
1881 | 1881 | if self.processingHeaderObj.flag_cspc: |
|
|
1882 | 1882 | cspc = numpy.transpose( cspc, (0,2,1) ) |
|
|
1883 | 1883 | self.data_cspc = cspc['real'] + cspc['imag']*1j |
|
|
1884 | 1884 | else: |
|
|
1885 | 1885 | self.data_cspc = None |
|
|
1886 | 1886 | |
|
|
1887 | 1887 | if self.processingHeaderObj.flag_dc: |
|
|
1888 | 1888 | self.data_dc = dc['real'] + dc['imag']*1j |
|
|
1889 | 1889 | else: |
|
|
1890 | 1890 | self.data_dc = None |
|
|
1891 | 1891 | |
|
|
1892 | 1892 | self.flagIsNewFile = 0 |
|
|
1893 | 1893 | self.flagIsNewBlock = 1 |
|
|
1894 | 1894 | |
|
|
1895 | 1895 | self.nTotalBlocks += 1 |
|
|
1896 | 1896 | self.nReadBlocks += 1 |
|
|
1897 | 1897 | |
|
|
1898 | 1898 | return 1 |
|
|
1899 | 1899 | |
|
|
1900 | 1900 | |
|
|
1901 | 1901 | def getData(self): |
|
|
1902 | 1902 | """ |
|
|
1903 | 1903 | Copia el buffer de lectura a la clase "Spectra", |
|
|
1904 | 1904 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
|
|
1905 | 1905 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
|
|
1906 | 1906 | |
|
|
1907 | 1907 | Return: |
|
|
1908 | 1908 | 0 : Si no hay mas archivos disponibles |
|
|
1909 | 1909 | 1 : Si hizo una buena copia del buffer |
|
|
1910 | 1910 | |
|
|
1911 | 1911 | Affected: |
|
|
1912 | 1912 | self.dataOut |
|
|
1913 | 1913 | |
|
|
1914 | 1914 | self.flagTimeBlock |
|
|
1915 | 1915 | self.flagIsNewBlock |
|
|
1916 | 1916 | """ |
|
|
1917 | 1917 | |
|
|
1918 | 1918 | if self.flagNoMoreFiles: return 0 |
|
|
1919 | 1919 | |
|
|
1920 | 1920 | self.flagTimeBlock = 0 |
|
|
1921 | 1921 | self.flagIsNewBlock = 0 |
|
|
1922 | 1922 | |
|
|
1923 | 1923 | if self.__hasNotDataInBuffer(): |
|
|
1924 | 1924 | |
|
|
1925 | 1925 | if not( self.readNextBlock() ): |
|
|
1926 | 1926 | return 0 |
|
|
1927 | 1927 | |
|
|
1928 | 1928 | # self.updateDataHeader() |
|
|
1929 | 1929 | |
|
|
1930 | 1930 | if self.flagNoMoreFiles == 1: |
|
|
1931 | 1931 | print 'Process finished' |
|
|
1932 | 1932 | return 0 |
|
|
1933 | 1933 | |
|
|
1934 | 1934 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
|
|
1935 | 1935 | |
|
|
1936 | 1936 | if self.data_dc == None: |
|
|
1937 | 1937 | self.dataOut.flagNoData = True |
|
|
1938 | 1938 | return 0 |
|
|
1939 | 1939 | |
|
|
1940 | 1940 | |
|
|
1941 | 1941 | self.dataOut.data_spc = self.data_spc |
|
|
1942 | 1942 | |
|
|
1943 | 1943 | self.dataOut.data_cspc = self.data_cspc |
|
|
1944 | 1944 | |
|
|
1945 | 1945 | self.dataOut.data_dc = self.data_dc |
|
|
1946 | 1946 | |
|
|
1947 | 1947 | self.dataOut.flagTimeBlock = self.flagTimeBlock |
|
|
1948 | 1948 | |
|
|
1949 | 1949 | self.dataOut.flagNoData = False |
|
|
1950 | 1950 | |
|
|
1951 | 1951 | self.dataOut.dtype = self.dtype |
|
|
1952 | 1952 | |
|
|
1953 | 1953 | self.dataOut.nChannels = self.nRdChannels |
|
|
1954 | 1954 | |
|
|
1955 | 1955 | self.dataOut.nPairs = self.nRdPairs |
|
|
1956 | 1956 | |
|
|
1957 | 1957 | self.dataOut.pairsList = self.rdPairList |
|
|
1958 | 1958 | |
|
|
1959 | 1959 | self.dataOut.nHeights = self.processingHeaderObj.nHeights |
|
|
1960 | 1960 | |
|
|
1961 | 1961 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|
1962 | 1962 | |
|
|
1963 | 1963 | self.dataOut.nFFTPoints = self.processingHeaderObj.profilesPerBlock |
|
|
1964 | 1964 | |
|
|
1965 | 1965 | self.dataOut.nIncohInt = self.processingHeaderObj.nIncohInt |
|
|
1966 | 1966 | |
|
|
1967 | 1967 | |
|
|
1968 | 1968 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight |
|
|
1969 | 1969 | |
|
|
1970 | 1970 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
|
|
1971 | 1971 | |
|
|
1972 | 1972 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|
1973 | 1973 | |
|
|
1974 | 1974 | self.dataOut.channelIndexList = range(self.systemHeaderObj.nChannels) |
|
|
1975 | 1975 | |
|
|
1976 | 1976 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000.#+ self.profileIndex * self.ippSeconds |
|
|
1977 | 1977 | |
|
|
1978 | 1978 | self.dataOut.ippSeconds = self.ippSeconds |
|
|
1979 | 1979 | |
|
|
1980 | 1980 | self.dataOut.timeInterval = self.ippSeconds * self.processingHeaderObj.nCohInt * self.processingHeaderObj.nIncohInt * self.dataOut.nFFTPoints |
|
|
1981 | 1981 | |
|
|
1982 | 1982 | self.dataOut.flagShiftFFT = self.processingHeaderObj.shif_fft |
|
|
1983 | 1983 | |
|
|
1984 | 1984 | # self.profileIndex += 1 |
|
|
1985 | 1985 | |
|
|
1986 | 1986 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|
1987 | 1987 | |
|
|
1988 | 1988 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|
1989 | 1989 | |
|
|
1990 | 1990 | return self.dataOut.data_spc |
|
|
1991 | 1991 | |
|
|
1992 | 1992 | |
|
|
1993 | 1993 | class SpectraWriter(JRODataWriter): |
|
|
1994 | 1994 | |
|
|
1995 | 1995 | """ |
|
|
1996 | 1996 | Esta clase permite escribir datos de espectros a archivos procesados (.pdata). La escritura |
|
|
1997 | 1997 | de los datos siempre se realiza por bloques. |
|
|
1998 | 1998 | """ |
|
|
1999 | 1999 | |
|
|
2000 | 2000 | ext = ".pdata" |
|
|
2001 | 2001 | |
|
|
2002 | 2002 | optchar = "P" |
|
|
2003 | 2003 | |
|
|
2004 | 2004 | shape_spc_Buffer = None |
|
|
2005 | 2005 | |
|
|
2006 | 2006 | shape_cspc_Buffer = None |
|
|
2007 | 2007 | |
|
|
2008 | 2008 | shape_dc_Buffer = None |
|
|
2009 | 2009 | |
|
|
2010 | 2010 | data_spc = None |
|
|
2011 | 2011 | |
|
|
2012 | 2012 | data_cspc = None |
|
|
2013 | 2013 | |
|
|
2014 | 2014 | data_dc = None |
|
|
2015 | 2015 | |
|
|
2016 | 2016 | # dataOut = None |
|
|
2017 | 2017 | |
|
|
2018 | 2018 | def __init__(self): |
|
|
2019 | 2019 | """ |
|
|
2020 | 2020 | Inicializador de la clase SpectraWriter para la escritura de datos de espectros. |
|
|
2021 | 2021 | |
|
|
2022 | 2022 | Affected: |
|
|
2023 | 2023 | self.dataOut |
|
|
2024 | 2024 | self.basicHeaderObj |
|
|
2025 | 2025 | self.systemHeaderObj |
|
|
2026 | 2026 | self.radarControllerHeaderObj |
|
|
2027 | 2027 | self.processingHeaderObj |
|
|
2028 | 2028 | |
|
|
2029 | 2029 | Return: None |
|
|
2030 | 2030 | """ |
|
|
2031 | 2031 | |
|
|
2032 | 2032 | self.isConfig = False |
|
|
2033 | 2033 | |
|
|
2034 | 2034 | self.nTotalBlocks = 0 |
|
|
2035 | 2035 | |
|
|
2036 | 2036 | self.data_spc = None |
|
|
2037 | 2037 | |
|
|
2038 | 2038 | self.data_cspc = None |
|
|
2039 | 2039 | |
|
|
2040 | 2040 | self.data_dc = None |
|
|
2041 | 2041 | |
|
|
2042 | 2042 | self.fp = None |
|
|
2043 | 2043 | |
|
|
2044 | 2044 | self.flagIsNewFile = 1 |
|
|
2045 | 2045 | |
|
|
2046 | 2046 | self.nTotalBlocks = 0 |
|
|
2047 | 2047 | |
|
|
2048 | 2048 | self.flagIsNewBlock = 0 |
|
|
2049 | 2049 | |
|
|
2050 | 2050 | self.flagNoMoreFiles = 0 |
|
|
2051 | 2051 | |
|
|
2052 | 2052 | self.setFile = None |
|
|
2053 | 2053 | |
|
|
2054 | 2054 | self.dtype = None |
|
|
2055 | 2055 | |
|
|
2056 | 2056 | self.path = None |
|
|
2057 | 2057 | |
|
|
2058 | 2058 | self.noMoreFiles = 0 |
|
|
2059 | 2059 | |
|
|
2060 | 2060 | self.filename = None |
|
|
2061 | 2061 | |
|
|
2062 | 2062 | self.basicHeaderObj = BasicHeader() |
|
|
2063 | 2063 | |
|
|
2064 | 2064 | self.systemHeaderObj = SystemHeader() |
|
|
2065 | 2065 | |
|
|
2066 | 2066 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
2067 | 2067 | |
|
|
2068 | 2068 | self.processingHeaderObj = ProcessingHeader() |
|
|
2069 | 2069 | |
|
|
2070 | 2070 | |
|
|
2071 | 2071 | def hasAllDataInBuffer(self): |
|
|
2072 | 2072 | return 1 |
|
|
2073 | 2073 | |
|
|
2074 | 2074 | |
|
|
2075 | 2075 | def setBlockDimension(self): |
|
|
2076 | 2076 | """ |
|
|
2077 | 2077 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|
2078 | 2078 | |
|
|
2079 | 2079 | Affected: |
|
|
2080 | 2080 | self.shape_spc_Buffer |
|
|
2081 | 2081 | self.shape_cspc_Buffer |
|
|
2082 | 2082 | self.shape_dc_Buffer |
|
|
2083 | 2083 | |
|
|
2084 | 2084 | Return: None |
|
|
2085 | 2085 | """ |
|
|
2086 | 2086 | self.shape_spc_Buffer = (self.dataOut.nChannels, |
|
|
2087 | 2087 | self.processingHeaderObj.nHeights, |
|
|
2088 | 2088 | self.processingHeaderObj.profilesPerBlock) |
|
|
2089 | 2089 | |
|
|
2090 | 2090 | self.shape_cspc_Buffer = (self.dataOut.nPairs, |
|
|
2091 | 2091 | self.processingHeaderObj.nHeights, |
|
|
2092 | 2092 | self.processingHeaderObj.profilesPerBlock) |
|
|
2093 | 2093 | |
|
|
2094 | 2094 | self.shape_dc_Buffer = (self.dataOut.nChannels, |
|
|
2095 | 2095 | self.processingHeaderObj.nHeights) |
|
|
2096 | 2096 | |
|
|
2097 | 2097 | |
|
|
2098 | 2098 | def writeBlock(self): |
|
|
2099 | 2099 | """ |
|
|
2100 | 2100 | Escribe el buffer en el file designado |
|
|
2101 | 2101 | |
|
|
2102 | 2102 | Affected: |
|
|
2103 | 2103 | self.data_spc |
|
|
2104 | 2104 | self.data_cspc |
|
|
2105 | 2105 | self.data_dc |
|
|
2106 | 2106 | self.flagIsNewFile |
|
|
2107 | 2107 | self.flagIsNewBlock |
|
|
2108 | 2108 | self.nTotalBlocks |
|
|
2109 | 2109 | self.nWriteBlocks |
|
|
2110 | 2110 | |
|
|
2111 | 2111 | Return: None |
|
|
2112 | 2112 | """ |
|
|
2113 | 2113 | |
|
|
2114 | 2114 | spc = numpy.transpose( self.data_spc, (0,2,1) ) |
|
|
2115 | 2115 | if not( self.processingHeaderObj.shif_fft ): |
|
|
2116 | 2116 | spc = numpy.roll( spc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
2117 | 2117 | data = spc.reshape((-1)) |
|
|
2118 | 2118 | data.tofile(self.fp) |
|
|
2119 | 2119 | |
|
|
2120 | 2120 | if self.data_cspc != None: |
|
|
2121 | 2121 | data = numpy.zeros( self.shape_cspc_Buffer, self.dtype ) |
|
|
2122 | 2122 | cspc = numpy.transpose( self.data_cspc, (0,2,1) ) |
|
|
2123 | 2123 | if not( self.processingHeaderObj.shif_fft ): |
|
|
2124 | 2124 | cspc = numpy.roll( cspc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
2125 | 2125 | data['real'] = cspc.real |
|
|
2126 | 2126 | data['imag'] = cspc.imag |
|
|
2127 | 2127 | data = data.reshape((-1)) |
|
|
2128 | 2128 | data.tofile(self.fp) |
|
|
2129 | 2129 | |
|
|
2130 | 2130 | if self.data_dc != None: |
|
|
2131 | 2131 | data = numpy.zeros( self.shape_dc_Buffer, self.dtype ) |
|
|
2132 | 2132 | dc = self.data_dc |
|
|
2133 | 2133 | data['real'] = dc.real |
|
|
2134 | 2134 | data['imag'] = dc.imag |
|
|
2135 | 2135 | data = data.reshape((-1)) |
|
|
2136 | 2136 | data.tofile(self.fp) |
|
|
2137 | 2137 | |
|
|
2138 | 2138 | self.data_spc.fill(0) |
|
|
2139 | 2139 | self.data_dc.fill(0) |
|
|
2140 | 2140 | if self.data_cspc != None: |
|
|
2141 | 2141 | self.data_cspc.fill(0) |
|
|
2142 | 2142 | |
|
|
2143 | 2143 | self.flagIsNewFile = 0 |
|
|
2144 | 2144 | self.flagIsNewBlock = 1 |
|
|
2145 | 2145 | self.nTotalBlocks += 1 |
|
|
2146 | 2146 | self.nWriteBlocks += 1 |
|
|
2147 | 2147 | self.blockIndex += 1 |
|
|
2148 | 2148 | |
|
|
2149 | 2149 | |
|
|
2150 | 2150 | def putData(self): |
|
|
2151 | 2151 | """ |
|
|
2152 | 2152 | Setea un bloque de datos y luego los escribe en un file |
|
|
2153 | 2153 | |
|
|
2154 | 2154 | Affected: |
|
|
2155 | 2155 | self.data_spc |
|
|
2156 | 2156 | self.data_cspc |
|
|
2157 | 2157 | self.data_dc |
|
|
2158 | 2158 | |
|
|
2159 | 2159 | Return: |
|
|
2160 | 2160 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|
2161 | 2161 | 1 : Si se escribio la data de un bloque en un file |
|
|
2162 | 2162 | """ |
|
|
2163 | 2163 | |
|
|
2164 | 2164 | if self.dataOut.flagNoData: |
|
|
2165 | 2165 | return 0 |
|
|
2166 | 2166 | |
|
|
2167 | 2167 | self.flagIsNewBlock = 0 |
|
|
2168 | 2168 | |
|
|
2169 | 2169 | if self.dataOut.flagTimeBlock: |
|
|
2170 | 2170 | self.data_spc.fill(0) |
|
|
2171 | 2171 | self.data_cspc.fill(0) |
|
|
2172 | 2172 | self.data_dc.fill(0) |
|
|
2173 | 2173 | self.setNextFile() |
|
|
2174 | 2174 | |
|
|
2175 | 2175 | if self.flagIsNewFile == 0: |
|
|
2176 | 2176 | self.getBasicHeader() |
|
|
2177 | 2177 | |
|
|
2178 | 2178 | self.data_spc = self.dataOut.data_spc |
|
|
2179 | 2179 | self.data_cspc = self.dataOut.data_cspc |
|
|
2180 | 2180 | self.data_dc = self.dataOut.data_dc |
|
|
2181 | 2181 | |
|
|
2182 | 2182 | # #self.processingHeaderObj.dataBlocksPerFile) |
|
|
2183 | 2183 | if self.hasAllDataInBuffer(): |
|
|
2184 | 2184 | # self.getDataHeader() |
|
|
2185 | 2185 | self.writeNextBlock() |
|
|
2186 | 2186 | |
|
|
2187 | 2187 | if self.flagNoMoreFiles: |
|
|
2188 | 2188 | #print 'Process finished' |
|
|
2189 | 2189 | return 0 |
|
|
2190 | 2190 | |
|
|
2191 | 2191 | return 1 |
|
|
2192 | 2192 | |
|
|
2193 | 2193 | |
|
|
2194 | 2194 | def __getProcessFlags(self): |
|
|
2195 | 2195 | |
|
|
2196 | 2196 | processFlags = 0 |
|
|
2197 | 2197 | |
|
|
2198 | 2198 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
2199 | 2199 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
2200 | 2200 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
2201 | 2201 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
2202 | 2202 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
2203 | 2203 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
2204 | 2204 | |
|
|
2205 | 2205 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
2206 | 2206 | |
|
|
2207 | 2207 | |
|
|
2208 | 2208 | |
|
|
2209 | 2209 | datatypeValueList = [PROCFLAG.DATATYPE_CHAR, |
|
|
2210 | 2210 | PROCFLAG.DATATYPE_SHORT, |
|
|
2211 | 2211 | PROCFLAG.DATATYPE_LONG, |
|
|
2212 | 2212 | PROCFLAG.DATATYPE_INT64, |
|
|
2213 | 2213 | PROCFLAG.DATATYPE_FLOAT, |
|
|
2214 | 2214 | PROCFLAG.DATATYPE_DOUBLE] |
|
|
2215 | 2215 | |
|
|
2216 | 2216 | |
|
|
2217 | 2217 | for index in range(len(dtypeList)): |
|
|
2218 | 2218 | if self.dataOut.dtype == dtypeList[index]: |
|
|
2219 | 2219 | dtypeValue = datatypeValueList[index] |
|
|
2220 | 2220 | break |
|
|
2221 | 2221 | |
|
|
2222 | 2222 | processFlags += dtypeValue |
|
|
2223 | 2223 | |
|
|
2224 | 2224 | if self.dataOut.flagDecodeData: |
|
|
2225 | 2225 | processFlags += PROCFLAG.DECODE_DATA |
|
|
2226 | 2226 | |
|
|
2227 | 2227 | if self.dataOut.flagDeflipData: |
|
|
2228 | 2228 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
2229 | 2229 | |
|
|
2230 | 2230 | if self.dataOut.code != None: |
|
|
2231 | 2231 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
2232 | 2232 | |
|
|
2233 | 2233 | if self.dataOut.nIncohInt > 1: |
|
|
2234 | 2234 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION |
|
|
2235 | 2235 | |
|
|
2236 | 2236 | if self.dataOut.data_dc != None: |
|
|
2237 | 2237 | processFlags += PROCFLAG.SAVE_CHANNELS_DC |
|
|
2238 | 2238 | |
|
|
2239 | 2239 | return processFlags |
|
|
2240 | 2240 | |
|
|
2241 | 2241 | |
|
|
2242 | 2242 | def __getBlockSize(self): |
|
|
2243 | 2243 | ''' |
|
|
2244 | 2244 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Spectra |
|
|
2245 | 2245 | ''' |
|
|
2246 | 2246 | |
|
|
2247 | 2247 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
2248 | 2248 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
2249 | 2249 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
2250 | 2250 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
2251 | 2251 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
2252 | 2252 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
2253 | 2253 | |
|
|
2254 | 2254 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
2255 | 2255 | datatypeValueList = [1,2,4,8,4,8] |
|
|
2256 | 2256 | for index in range(len(dtypeList)): |
|
|
2257 | 2257 | if self.dataOut.dtype == dtypeList[index]: |
|
|
2258 | 2258 | datatypeValue = datatypeValueList[index] |
|
|
2259 | 2259 | break |
|
|
2260 | 2260 | |
|
|
2261 | 2261 | |
|
|
2262 | 2262 | pts2write = self.dataOut.nHeights * self.dataOut.nFFTPoints |
|
|
2263 | 2263 | |
|
|
2264 | 2264 | pts2write_SelfSpectra = int(self.dataOut.nChannels * pts2write) |
|
|
2265 | 2265 | blocksize = (pts2write_SelfSpectra*datatypeValue) |
|
|
2266 | 2266 | |
|
|
2267 | 2267 | if self.dataOut.data_cspc != None: |
|
|
2268 | 2268 | pts2write_CrossSpectra = int(self.dataOut.nPairs * pts2write) |
|
|
2269 | 2269 | blocksize += (pts2write_CrossSpectra*datatypeValue*2) |
|
|
2270 | 2270 | |
|
|
2271 | 2271 | if self.dataOut.data_dc != None: |
|
|
2272 | 2272 | pts2write_DCchannels = int(self.dataOut.nChannels * self.dataOut.nHeights) |
|
|
2273 | 2273 | blocksize += (pts2write_DCchannels*datatypeValue*2) |
|
|
2274 | 2274 | |
|
|
2275 | 2275 | blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO |
|
|
2276 | 2276 | |
|
|
2277 | 2277 | return blocksize |
|
|
2278 | 2278 | |
|
|
2279 | 2279 | def getDataHeader(self): |
|
|
2280 | 2280 | |
|
|
2281 | 2281 | """ |
|
|
2282 | 2282 | Obtiene una copia del First Header |
|
|
2283 | 2283 | |
|
|
2284 | 2284 | Affected: |
|
|
2285 | 2285 | self.systemHeaderObj |
|
|
2286 | 2286 | self.radarControllerHeaderObj |
|
|
2287 | 2287 | self.dtype |
|
|
2288 | 2288 | |
|
|
2289 | 2289 | Return: |
|
|
2290 | 2290 | None |
|
|
2291 | 2291 | """ |
|
|
2292 | 2292 | |
|
|
2293 | 2293 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|
2294 | 2294 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|
2295 | 2295 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|
2296 | 2296 | |
|
|
2297 | 2297 | self.getBasicHeader() |
|
|
2298 | 2298 | |
|
|
2299 | 2299 | processingHeaderSize = 40 # bytes |
|
|
2300 | 2300 | self.processingHeaderObj.dtype = 0 # Voltage |
|
|
2301 | 2301 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|
2302 | 2302 | self.processingHeaderObj.profilesPerBlock = self.dataOut.nFFTPoints |
|
|
2303 | 2303 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|
2304 | 2304 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|
2305 | 2305 | self.processingHeaderObj.processFlags = self.__getProcessFlags() |
|
|
2306 | 2306 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt# Se requiere para determinar el valor de timeInterval |
|
|
2307 | 2307 | self.processingHeaderObj.nIncohInt = self.dataOut.nIncohInt |
|
|
2308 | 2308 | self.processingHeaderObj.totalSpectra = self.dataOut.nPairs + self.dataOut.nChannels |
|
|
2309 | 2309 | |
|
|
2310 | 2310 | if self.processingHeaderObj.totalSpectra > 0: |
|
|
2311 | 2311 | channelList = [] |
|
|
2312 | 2312 | for channel in range(self.dataOut.nChannels): |
|
|
2313 | 2313 | channelList.append(channel) |
|
|
2314 | 2314 | channelList.append(channel) |
|
|
2315 | 2315 | |
|
|
2316 | 2316 | pairsList = [] |
|
|
2317 | 2317 | for pair in self.dataOut.pairsList: |
|
|
2318 | 2318 | pairsList.append(pair[0]) |
|
|
2319 | 2319 | pairsList.append(pair[1]) |
|
|
2320 | 2320 | spectraComb = channelList + pairsList |
|
|
2321 | 2321 | spectraComb = numpy.array(spectraComb,dtype="u1") |
|
|
2322 | 2322 | self.processingHeaderObj.spectraComb = spectraComb |
|
|
2323 | 2323 | sizeOfSpcComb = len(spectraComb) |
|
|
2324 | 2324 | processingHeaderSize += sizeOfSpcComb |
|
|
2325 | 2325 | |
|
|
2326 | 2326 | if self.dataOut.code != None: |
|
|
2327 | 2327 | self.processingHeaderObj.code = self.dataOut.code |
|
|
2328 | 2328 | self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|
2329 | 2329 | self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|
2330 | 2330 | nCodeSize = 4 # bytes |
|
|
2331 | 2331 | nBaudSize = 4 # bytes |
|
|
2332 | 2332 | codeSize = 4 # bytes |
|
|
2333 | 2333 | sizeOfCode = int(nCodeSize + nBaudSize + codeSize * self.dataOut.nCode * self.dataOut.nBaud) |
|
|
2334 | 2334 | processingHeaderSize += sizeOfCode |
|
|
2335 | 2335 | |
|
|
2336 | 2336 | if self.processingHeaderObj.nWindows != 0: |
|
|
2337 | 2337 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|
2338 | 2338 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
2339 | 2339 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|
2340 | 2340 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|
2341 | 2341 | sizeOfFirstHeight = 4 |
|
|
2342 | 2342 | sizeOfdeltaHeight = 4 |
|
|
2343 | 2343 | sizeOfnHeights = 4 |
|
|
2344 | 2344 | sizeOfWindows = (sizeOfFirstHeight + sizeOfdeltaHeight + sizeOfnHeights)*self.processingHeaderObj.nWindows |
|
|
2345 | 2345 | processingHeaderSize += sizeOfWindows |
|
|
2346 | 2346 | |
|
|
2347 | 2347 | self.processingHeaderObj.size = processingHeaderSize |
|
|
2348 | 2348 | |
|
|
2349 | 2349 | class SpectraHeisWriter(): |
|
|
2350 | 2350 | |
|
|
2351 | 2351 | i=0 |
|
|
2352 | 2352 | |
|
|
2353 | 2353 | def __init__(self, dataOut): |
|
|
2354 | 2354 | |
|
|
2355 | 2355 | self.wrObj = FITS() |
|
|
2356 | 2356 | self.dataOut = dataOut |
|
|
2357 | 2357 | |
|
|
2358 | 2358 | def isNumber(str): |
|
|
2359 | 2359 | """ |
|
|
2360 | 2360 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|
2361 | 2361 | |
|
|
2362 | 2362 | Excepciones: |
|
|
2363 | 2363 | Si un determinado string no puede ser convertido a numero |
|
|
2364 | 2364 | Input: |
|
|
2365 | 2365 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|
2366 | 2366 | |
|
|
2367 | 2367 | Return: |
|
|
2368 | 2368 | True : si el string es uno numerico |
|
|
2369 | 2369 | False : no es un string numerico |
|
|
2370 | 2370 | """ |
|
|
2371 | 2371 | try: |
|
|
2372 | 2372 | float( str ) |
|
|
2373 | 2373 | return True |
|
|
2374 | 2374 | except: |
|
|
2375 | 2375 | return False |
|
|
2376 | 2376 | |
|
|
2377 | 2377 | def setup(self, wrpath,): |
|
|
2378 | 2378 | |
|
|
2379 | 2379 | if not(os.path.exists(wrpath)): |
|
|
2380 | 2380 | os.mkdir(wrpath) |
|
|
2381 | 2381 | |
|
|
2382 | 2382 | self.wrpath = wrpath |
|
|
2383 | 2383 | self.setFile = 0 |
|
|
2384 | 2384 | |
|
|
2385 | 2385 | def putData(self): |
|
|
2386 | 2386 | # self.wrObj.writeHeader(nChannels=self.dataOut.nChannels, nFFTPoints=self.dataOut.nFFTPoints) |
|
|
2387 | 2387 | #name = self.dataOut.utctime |
|
|
2388 | 2388 | name= time.localtime( self.dataOut.utctime) |
|
|
2389 | 2389 | ext=".fits" |
|
|
2390 | 2390 | #folder='D%4.4d%3.3d'%(name.tm_year,name.tm_yday) |
|
|
2391 | 2391 | subfolder = 'D%4.4d%3.3d' % (name.tm_year,name.tm_yday) |
|
|
2392 | 2392 | |
|
|
2393 | 2393 | doypath = os.path.join( self.wrpath, subfolder ) |
|
|
2394 | 2394 | if not( os.path.exists(doypath) ): |
|
|
2395 | 2395 | os.mkdir(doypath) |
|
|
2396 | 2396 | self.setFile += 1 |
|
|
2397 | 2397 | file = 'D%4.4d%3.3d%3.3d%s' % (name.tm_year,name.tm_yday,self.setFile,ext) |
|
|
2398 | 2398 | |
|
|
2399 | 2399 | filename = os.path.join(self.wrpath,subfolder, file) |
|
|
2400 | 2400 | |
|
|
2401 | 2401 | # print self.dataOut.ippSeconds |
|
|
2402 | 2402 | freq=numpy.arange(-1*self.dataOut.nHeights/2.,self.dataOut.nHeights/2.)/(2*self.dataOut.ippSeconds) |
|
|
2403 | 2403 | |
|
|
2404 | 2404 | col1=self.wrObj.setColF(name="freq", format=str(self.dataOut.nFFTPoints)+'E', array=freq) |
|
|
2405 | 2405 | col2=self.wrObj.writeData(name="P_Ch1",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[0,:])) |
|
|
2406 | 2406 | col3=self.wrObj.writeData(name="P_Ch2",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[1,:])) |
|
|
2407 | 2407 | col4=self.wrObj.writeData(name="P_Ch3",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[2,:])) |
|
|
2408 | 2408 | col5=self.wrObj.writeData(name="P_Ch4",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[3,:])) |
|
|
2409 | 2409 | col6=self.wrObj.writeData(name="P_Ch5",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[4,:])) |
|
|
2410 | 2410 | col7=self.wrObj.writeData(name="P_Ch6",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[5,:])) |
|
|
2411 | 2411 | col8=self.wrObj.writeData(name="P_Ch7",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[6,:])) |
|
|
2412 | 2412 | col9=self.wrObj.writeData(name="P_Ch8",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[7,:])) |
|
|
2413 | 2413 | #n=numpy.arange((100)) |
|
|
2414 | 2414 | n=self.dataOut.data_spc[6,:] |
|
|
2415 | 2415 | a=self.wrObj.cFImage(n) |
|
|
2416 | 2416 | b=self.wrObj.Ctable(col1,col2,col3,col4,col5,col6,col7,col8,col9) |
|
|
2417 | 2417 | self.wrObj.CFile(a,b) |
|
|
2418 | 2418 | self.wrObj.wFile(filename) |
|
|
2419 | 2419 | return 1 |
|
|
2420 | 2420 | |
|
|
2421 | 2421 | class FITS: |
|
|
2422 | 2422 | |
|
|
2423 | 2423 | name=None |
|
|
2424 | 2424 | format=None |
|
|
2425 | 2425 | array =None |
|
|
2426 | 2426 | data =None |
|
|
2427 | 2427 | thdulist=None |
|
|
2428 | 2428 | |
|
|
2429 | 2429 | def __init__(self): |
|
|
2430 | 2430 | |
|
|
2431 | 2431 | pass |
|
|
2432 | 2432 | |
|
|
2433 | 2433 | def setColF(self,name,format,array): |
|
|
2434 | 2434 | self.name=name |
|
|
2435 | 2435 | self.format=format |
|
|
2436 | 2436 | self.array=array |
|
|
2437 | 2437 | a1=numpy.array([self.array],dtype=numpy.float32) |
|
|
2438 | 2438 | self.col1 = pyfits.Column(name=self.name, format=self.format, array=a1) |
|
|
2439 | 2439 | return self.col1 |
|
|
2440 | 2440 | |
|
|
2441 | 2441 | # def setColP(self,name,format,data): |
|
|
2442 | 2442 | # self.name=name |
|
|
2443 | 2443 | # self.format=format |
|
|
2444 | 2444 | # self.data=data |
|
|
2445 | 2445 | # a2=numpy.array([self.data],dtype=numpy.float32) |
|
|
2446 | 2446 | # self.col2 = pyfits.Column(name=self.name, format=self.format, array=a2) |
|
|
2447 | 2447 | # return self.col2 |
|
|
2448 | 2448 | |
|
|
2449 | 2449 | def writeHeader(self,): |
|
|
2450 | 2450 | pass |
|
|
2451 | 2451 | |
|
|
2452 | 2452 | def writeData(self,name,format,data): |
|
|
2453 | 2453 | self.name=name |
|
|
2454 | 2454 | self.format=format |
|
|
2455 | 2455 | self.data=data |
|
|
2456 | 2456 | a2=numpy.array([self.data],dtype=numpy.float32) |
|
|
2457 | 2457 | self.col2 = pyfits.Column(name=self.name, format=self.format, array=a2) |
|
|
2458 | 2458 | return self.col2 |
|
|
2459 | 2459 | |
|
|
2460 | 2460 | def cFImage(self,n): |
|
|
2461 | 2461 | self.hdu= pyfits.PrimaryHDU(n) |
|
|
2462 | 2462 | return self.hdu |
|
|
2463 | 2463 | |
|
|
2464 | 2464 | def Ctable(self,col1,col2,col3,col4,col5,col6,col7,col8,col9): |
|
|
2465 | 2465 | self.cols=pyfits.ColDefs( [col1,col2,col3,col4,col5,col6,col7,col8,col9]) |
|
|
2466 | 2466 | self.tbhdu = pyfits.new_table(self.cols) |
|
|
2467 | 2467 | return self.tbhdu |
|
|
2468 | 2468 | |
|
|
2469 | 2469 | def CFile(self,hdu,tbhdu): |
|
|
2470 | 2470 | self.thdulist=pyfits.HDUList([hdu,tbhdu]) |
|
|
2471 | 2471 | |
|
|
2472 | 2472 | def wFile(self,filename): |
|
|
2473 | 2473 | self.thdulist.writeto(filename) No newline at end of file |
| @@ -1,85 +1,182 | |||
|
|
1 | 1 | import numpy |
|
|
2 | 2 | import datetime |
|
|
3 | 3 | from graphics.figure import * |
|
|
4 | 4 | |
|
|
5 | class SpectraPlot(Figure): | |
|
|
6 | __isConfig = None | |
|
|
7 | ||
|
|
8 | def __init__(self): | |
|
|
9 | self.__isConfig = False | |
|
|
10 | self.width = 850 | |
|
|
11 | self.height = 800 | |
|
|
12 | ||
|
|
13 | def getSubplots(self): | |
|
|
14 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
|
|
15 | nrow = int(self.nplots*1./ncol + 0.9) | |
|
|
16 | return nrow, ncol | |
|
|
17 | ||
|
|
18 | ||
|
|
19 | def setAxesWithOutProfiles(self, nrow, ncol): | |
|
|
20 | colspan = 1 | |
|
|
21 | rowspan = 1 | |
|
|
22 | counter = 0 | |
|
|
23 | ||
|
|
24 | for y in range(nrow): | |
|
|
25 | for x in range(ncol): | |
|
|
26 | if counter < self.nplots: | |
|
|
27 | # plt.subplot2grid((nrow, ncol), (y, x), colspan=colspan, rowspan=rowspan) | |
|
|
28 | self.makeAxes(nrow, ncol, y, x, colspan, rowspan) | |
|
|
29 | counter += 1 | |
|
|
30 | ||
|
|
31 | def setAxesWithProfiles(self, nrow, ncol): | |
|
|
32 | colspan = 1 | |
|
|
33 | rowspan = 1 | |
|
|
34 | factor = 2 | |
|
|
35 | ncol = ncol*factor | |
|
|
36 | counter = 0 | |
|
|
37 | ||
|
|
38 | for y in range(nrow): | |
|
|
39 | for x in range(ncol): | |
|
|
40 | if counter < self.nplots*factor: | |
|
|
41 | # plt.subplot2grid((nrow, ncol), (y, x), colspan=colspan, rowspan=rowspan) | |
|
|
42 | self.makeAxes(nrow, ncol, y, x, colspan, rowspan) | |
|
|
43 | counter += 1 | |
|
|
44 | ||
|
|
45 | def setup(self, idfigure, wintitle, width, height, nplots, profile): | |
|
|
46 | self.init(idfigure, wintitle, width, height, nplots) | |
|
|
47 | ||
|
|
48 | nrow,ncol = self.getSubplots() | |
|
|
49 | ||
|
|
50 | if profile: | |
|
|
51 | self.setAxesWithProfiles(nrow, ncol) | |
|
|
52 | else: | |
|
|
53 | self.setAxesWithOutProfiles(nrow, ncol) | |
|
|
54 | ||
|
|
55 | def run(self, dataOut, idfigure, wintitle="", channelList=None, xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, profile=False): | |
|
|
56 | if dataOut.isEmpty(): | |
|
|
57 | return None | |
|
|
58 | ||
|
|
59 | if channelList == None: | |
|
|
60 | channelList = dataOut.channelList | |
|
|
61 | ||
|
|
62 | nplots = len(channelList) | |
|
|
63 | ||
|
|
64 | z = 10.*numpy.log10(dataOut.data_spc[channelList,:,:]) | |
|
|
65 | ||
|
|
66 | y = dataOut.heightList | |
|
|
67 | ||
|
|
68 | x = numpy.arange(dataOut.nFFTPoints) | |
|
|
69 | ||
|
|
70 | if not self.__isConfig: | |
|
|
71 | self.setup(idfigure=idfigure, | |
|
|
72 | wintitle=wintitle, | |
|
|
73 | width=self.width, | |
|
|
74 | height=self.height, | |
|
|
75 | nplots=nplots, | |
|
|
76 | profile=profile) | |
|
|
77 | ||
|
|
78 | if xmin == None: self.xmin = numpy.min(x) | |
|
|
79 | if xmax == None: self.xmax = numpy.max(x) | |
|
|
80 | if ymin == None: self.ymin = numpy.min(y) | |
|
|
81 | if ymax == None: self.ymax = numpy.max(y) | |
|
|
82 | if zmin == None: self.zmin = 0 | |
|
|
83 | if zmax == None: self.zmax = 90 | |
|
|
84 | ||
|
|
85 | self.__isConfig = True | |
|
|
86 | ||
|
|
87 | ylabel = "Range[Km]" | |
|
|
88 | ||
|
|
89 | xlabel = "m/s" | |
|
|
90 | ||
|
|
91 | for i in range(len(self.axesList)): | |
|
|
92 | title = "Channel %d"%i | |
|
|
93 | axes = self.axesList[i] | |
|
|
94 | z2 = z[i,:,:] | |
|
|
95 | axes.pcolor(x, y, z, self.xmin, self.xmax, self.ymin, self.ymax, self.zmin, self.zmax, xlabel, ylabel, title) | |
|
|
96 | ||
|
|
97 | ||
|
|
98 | self.draw() | |
|
|
99 | ||
|
|
100 | ||
|
|
101 | ||
|
|
102 | ||
|
|
103 | ||
|
|
5 | 104 | class Scope(Figure): |
|
|
6 | 105 | __isConfig = None |
|
|
7 | width = None | |
|
|
8 | height = None | |
|
|
9 | 106 | |
|
|
10 | 107 | def __init__(self): |
|
|
11 | 108 | self.__isConfig = False |
|
|
12 | 109 | self.width = 850 |
|
|
13 | 110 | self.height = 800 |
|
|
14 | 111 | |
|
|
15 | 112 | def getSubplots(self): |
|
|
16 | 113 | nrow = self.nplots |
|
|
17 | 114 | ncol = 3 |
|
|
18 | 115 | return nrow, ncol |
|
|
19 | 116 | |
|
|
20 | 117 | def setup(self, idfigure, wintitle, width, height, nplots): |
|
|
21 | 118 | self.init(idfigure, wintitle, width, height, nplots) |
|
|
22 | 119 | |
|
|
23 | 120 | nrow,ncol = self.getSubplots() |
|
|
24 | 121 | colspan = 3 |
|
|
25 | 122 | rowspan = 1 |
|
|
26 | 123 | |
|
|
27 | 124 | for i in range(nplots): |
|
|
28 | 125 | self.makeAxes(nrow, ncol, i, 0, colspan, rowspan) |
|
|
29 | 126 | |
|
|
30 | 127 | |
|
|
31 | 128 | |
|
|
32 | 129 | def run(self, dataOut, idfigure, wintitle="", channelList=None, xmin=None, xmax=None, ymin=None, ymax=None): |
|
|
33 | 130 | |
|
|
34 | 131 | if dataOut.isEmpty(): |
|
|
35 | 132 | return None |
|
|
36 | 133 | |
|
|
37 | 134 | if channelList == None: |
|
|
38 | 135 | channelList = dataOut.channelList |
|
|
39 | 136 | |
|
|
40 | 137 | nplots = len(channelList) |
|
|
41 | 138 | |
|
|
42 | 139 | y = dataOut.data[channelList,:] * numpy.conjugate(dataOut.data[channelList,:]) |
|
|
43 | 140 | y = y.real |
|
|
44 | 141 | |
|
|
45 | 142 | x = dataOut.heightList |
|
|
46 | 143 | |
|
|
47 | 144 | if not self.__isConfig: |
|
|
48 | 145 | self.setup(idfigure=idfigure, |
|
|
49 |
wintitle= |
|
|
|
146 | wintitle=wintitle, | |
|
|
50 | 147 | width=self.width, |
|
|
51 | 148 | height=self.height, |
|
|
52 | 149 | nplots=nplots) |
|
|
53 | 150 | |
|
|
54 | 151 | if xmin == None: self.xmin = numpy.min(x) |
|
|
55 | 152 | if xmax == None: self.xmax = numpy.max(x) |
|
|
56 | 153 | if ymin == None: self.ymin = numpy.min(y) |
|
|
57 | 154 | if ymax == None: self.ymax = numpy.max(y) |
|
|
58 | 155 | |
|
|
59 | 156 | self.__isConfig = True |
|
|
60 | 157 | |
|
|
61 | 158 | |
|
|
62 | 159 | |
|
|
63 | 160 | thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime) |
|
|
64 | 161 | dateTime = "%s"%(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
65 | 162 | date = "%s"%(thisDatetime.strftime("%d-%b-%Y")) |
|
|
66 | 163 | figuretitle = "Scope: " + dateTime |
|
|
67 | 164 | |
|
|
68 | 165 | self.setTitle(title=figuretitle) |
|
|
69 | 166 | |
|
|
70 | 167 | # self.setTextFromAxes(title=figuretitle) |
|
|
71 | 168 | |
|
|
72 | 169 | ylabel = "Intensity" |
|
|
73 | 170 | |
|
|
74 | 171 | xlabel = "Range[Km]" |
|
|
75 | 172 | |
|
|
76 | 173 | for i in range(len(self.axesList)): |
|
|
77 | 174 | title = "Channel %d"%i |
|
|
78 | 175 | axes = self.axesList[i] |
|
|
79 | 176 | y2 = y[i,:] |
|
|
80 | 177 | axes.pline(x, y2, self.xmin, self.xmax, self.ymin, self.ymax, xlabel, ylabel, title) |
|
|
81 | 178 | |
|
|
82 | 179 | self.draw() |
|
|
83 | 180 | |
|
|
84 | 181 | |
|
|
85 | 182 | No newline at end of file |
| @@ -1,435 +1,575 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | $Author: dsuarez $ |
|
|
4 | 4 | $Id: Processor.py 1 2012-11-12 18:56:07Z dsuarez $ |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import numpy |
|
|
8 | 8 | import datetime |
|
|
9 | 9 | import time |
|
|
10 | 10 | |
|
|
11 | 11 | from jrodata import * |
|
|
12 | 12 | from jrodataIO import * |
|
|
13 | 13 | from jroplot import * |
|
|
14 | 14 | |
|
|
15 | 15 | class ProcessingUnit: |
|
|
16 | 16 | |
|
|
17 | 17 | """ |
|
|
18 | 18 | Esta es la clase base para el procesamiento de datos. |
|
|
19 | 19 | |
|
|
20 | 20 | Contiene el metodo "call" para llamar operaciones. Las operaciones pueden ser: |
|
|
21 | 21 | - Metodos internos (callMethod) |
|
|
22 | 22 | - Objetos del tipo Operation (callObject). Antes de ser llamados, estos objetos |
|
|
23 | 23 | tienen que ser agreagados con el metodo "add". |
|
|
24 | 24 | |
|
|
25 | 25 | """ |
|
|
26 | 26 | # objeto de datos de entrada (Voltage, Spectra o Correlation) |
|
|
27 | 27 | dataIn = None |
|
|
28 | 28 | |
|
|
29 | 29 | # objeto de datos de entrada (Voltage, Spectra o Correlation) |
|
|
30 | 30 | dataOut = None |
|
|
31 | 31 | |
|
|
32 | 32 | |
|
|
33 | 33 | objectDict = None |
|
|
34 | 34 | |
|
|
35 | 35 | def __init__(self): |
|
|
36 | 36 | |
|
|
37 | 37 | self.objectDict = {} |
|
|
38 | 38 | |
|
|
39 | 39 | def addOperation(self, object, objId): |
|
|
40 | 40 | |
|
|
41 | 41 | """ |
|
|
42 | 42 | Agrega el objeto "object" a la lista de objetos "self.objectList" y retorna el |
|
|
43 | 43 | identificador asociado a este objeto. |
|
|
44 | 44 | |
|
|
45 | 45 | Input: |
|
|
46 | 46 | |
|
|
47 | 47 | object : objeto de la clase "Operation" |
|
|
48 | 48 | |
|
|
49 | 49 | Return: |
|
|
50 | 50 | |
|
|
51 | 51 | objId : identificador del objeto, necesario para ejecutar la operacion |
|
|
52 | 52 | """ |
|
|
53 | 53 | |
|
|
54 | 54 | self.objectDict[objId] = object |
|
|
55 | 55 | |
|
|
56 | 56 | return objId |
|
|
57 | 57 | |
|
|
58 | 58 | def operation(self, **kwargs): |
|
|
59 | 59 | |
|
|
60 | 60 | """ |
|
|
61 | 61 | Operacion directa sobre la data (dataout.data). Es necesario actualizar los valores de los |
|
|
62 | 62 | atributos del objeto dataOut |
|
|
63 | 63 | |
|
|
64 | 64 | Input: |
|
|
65 | 65 | |
|
|
66 | 66 | **kwargs : Diccionario de argumentos de la funcion a ejecutar |
|
|
67 | 67 | """ |
|
|
68 | 68 | |
|
|
69 | 69 | raise ValueError, "ImplementedError" |
|
|
70 | 70 | |
|
|
71 | 71 | def callMethod(self, name, **kwargs): |
|
|
72 | 72 | |
|
|
73 | 73 | """ |
|
|
74 | 74 | Ejecuta el metodo con el nombre "name" y con argumentos **kwargs de la propia clase. |
|
|
75 | 75 | |
|
|
76 | 76 | Input: |
|
|
77 | 77 | name : nombre del metodo a ejecutar |
|
|
78 | 78 | |
|
|
79 | 79 | **kwargs : diccionario con los nombres y valores de la funcion a ejecutar. |
|
|
80 | 80 | |
|
|
81 | 81 | """ |
|
|
82 | 82 | |
|
|
83 | 83 | methodToCall = getattr(self, name) |
|
|
84 | 84 | |
|
|
85 | 85 | methodToCall(**kwargs) |
|
|
86 | 86 | |
|
|
87 | 87 | def callObject(self, objId, **kwargs): |
|
|
88 | 88 | |
|
|
89 | 89 | """ |
|
|
90 | 90 | Ejecuta la operacion asociada al identificador del objeto "objId" |
|
|
91 | 91 | |
|
|
92 | 92 | Input: |
|
|
93 | 93 | |
|
|
94 | 94 | objId : identificador del objeto a ejecutar |
|
|
95 | 95 | |
|
|
96 | 96 | **kwargs : diccionario con los nombres y valores de la funcion a ejecutar. |
|
|
97 | 97 | |
|
|
98 | 98 | Return: |
|
|
99 | 99 | |
|
|
100 | 100 | None |
|
|
101 | 101 | """ |
|
|
102 | 102 | |
|
|
103 | 103 | object = self.objectDict[objId] |
|
|
104 | 104 | |
|
|
105 | 105 | object.run(self.dataOut, **kwargs) |
|
|
106 | 106 | |
|
|
107 | 107 | def call(self, operationConf, **kwargs): |
|
|
108 | 108 | |
|
|
109 | 109 | """ |
|
|
110 | 110 | Ejecuta la operacion "operationConf.name" con los argumentos "**kwargs". La operacion puede |
|
|
111 | 111 | ser de dos tipos: |
|
|
112 | 112 | |
|
|
113 | 113 | 1. Un metodo propio de esta clase: |
|
|
114 | 114 | |
|
|
115 | 115 | operation.type = "self" |
|
|
116 | 116 | |
|
|
117 | 117 | 2. El metodo "run" de un objeto del tipo Operation o de un derivado de ella: |
|
|
118 | 118 | operation.type = "other". |
|
|
119 | 119 | |
|
|
120 | 120 | Este objeto de tipo Operation debe de haber sido agregado antes con el metodo: |
|
|
121 | 121 | "addOperation" e identificado con el operation.id |
|
|
122 | 122 | |
|
|
123 | 123 | |
|
|
124 | 124 | con el id de la operacion. |
|
|
125 | 125 | |
|
|
126 | 126 | Input: |
|
|
127 | 127 | |
|
|
128 | 128 | Operation : Objeto del tipo operacion con los atributos: name, type y id. |
|
|
129 | 129 | |
|
|
130 | 130 | """ |
|
|
131 | 131 | if self.dataIn.isEmpty(): |
|
|
132 | 132 | return None |
|
|
133 | 133 | |
|
|
134 | 134 | if operationConf.type == 'self': |
|
|
135 | 135 | self.callMethod(operationConf.name, **kwargs) |
|
|
136 | 136 | return |
|
|
137 | 137 | |
|
|
138 | 138 | if operationConf.type == 'other': |
|
|
139 | 139 | self.callObject(operationConf.id, **kwargs) |
|
|
140 | 140 | return |
|
|
141 | 141 | |
|
|
142 | 142 | def setInput(self, dataIn): |
|
|
143 | 143 | |
|
|
144 | 144 | self.dataIn = dataIn |
|
|
145 | 145 | |
|
|
146 | 146 | def getOutput(self): |
|
|
147 | 147 | |
|
|
148 | 148 | return self.dataOut |
|
|
149 | 149 | |
|
|
150 | 150 | class Operation(): |
|
|
151 | 151 | |
|
|
152 | 152 | """ |
|
|
153 | 153 | Clase base para definir las operaciones adicionales que se pueden agregar a la clase ProcessingUnit |
|
|
154 | 154 | y necesiten acumular informacion previa de los datos a procesar. De preferencia usar un buffer de |
|
|
155 | 155 | acumulacion dentro de esta clase |
|
|
156 | 156 | |
|
|
157 | 157 | Ejemplo: Integraciones coherentes, necesita la informacion previa de los n perfiles anteriores (bufffer) |
|
|
158 | 158 | |
|
|
159 | 159 | """ |
|
|
160 | 160 | |
|
|
161 | 161 | __buffer = None |
|
|
162 | 162 | __isConfig = False |
|
|
163 | 163 | |
|
|
164 | 164 | def __init__(self): |
|
|
165 | 165 | |
|
|
166 | 166 | pass |
|
|
167 | 167 | |
|
|
168 | 168 | def run(self, dataIn, **kwargs): |
|
|
169 | 169 | |
|
|
170 | 170 | """ |
|
|
171 | 171 | Realiza las operaciones necesarias sobre la dataIn.data y actualiza los atributos del objeto dataIn. |
|
|
172 | 172 | |
|
|
173 | 173 | Input: |
|
|
174 | 174 | |
|
|
175 | 175 | dataIn : objeto del tipo JROData |
|
|
176 | 176 | |
|
|
177 | 177 | Return: |
|
|
178 | 178 | |
|
|
179 | 179 | None |
|
|
180 | 180 | |
|
|
181 | 181 | Affected: |
|
|
182 | 182 | __buffer : buffer de recepcion de datos. |
|
|
183 | 183 | |
|
|
184 | 184 | """ |
|
|
185 | 185 | |
|
|
186 | 186 | raise ValueError, "ImplementedError" |
|
|
187 | 187 | |
|
|
188 | 188 | class VoltageProc(ProcessingUnit): |
|
|
189 | 189 | |
|
|
190 | 190 | |
|
|
191 | 191 | def __init__(self): |
|
|
192 | 192 | |
|
|
193 | 193 | self.objectDict = {} |
|
|
194 | 194 | self.dataOut = Voltage() |
|
|
195 | 195 | |
|
|
196 | 196 | def init(self): |
|
|
197 | 197 | |
|
|
198 | 198 | self.dataOut.copy(self.dataIn) |
|
|
199 | 199 | # No necesita copiar en cada init() los atributos de dataIn |
|
|
200 | 200 | # la copia deberia hacerse por cada nuevo bloque de datos |
|
|
201 | 201 | |
|
|
202 | 202 | def selectChannels(self, channelList): |
|
|
203 | 203 | |
|
|
204 | 204 | if self.dataIn.isEmpty(): |
|
|
205 | 205 | return 0 |
|
|
206 | 206 | |
|
|
207 | 207 | self.selectChannelsByIndex(channelList) |
|
|
208 | 208 | |
|
|
209 | 209 | def selectChannelsByIndex(self, channelIndexList): |
|
|
210 | 210 | """ |
|
|
211 | 211 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|
212 | 212 | |
|
|
213 | 213 | Input: |
|
|
214 | 214 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|
215 | 215 | |
|
|
216 | 216 | Affected: |
|
|
217 | 217 | self.dataOut.data |
|
|
218 | 218 | self.dataOut.channelIndexList |
|
|
219 | 219 | self.dataOut.nChannels |
|
|
220 | 220 | self.dataOut.m_ProcessingHeader.totalSpectra |
|
|
221 | 221 | self.dataOut.systemHeaderObj.numChannels |
|
|
222 | 222 | self.dataOut.m_ProcessingHeader.blockSize |
|
|
223 | 223 | |
|
|
224 | 224 | Return: |
|
|
225 | 225 | None |
|
|
226 | 226 | """ |
|
|
227 | 227 | |
|
|
228 | 228 | for channel in channelIndexList: |
|
|
229 | 229 | if channel not in self.dataOut.channelIndexList: |
|
|
230 | 230 | raise ValueError, "The value %d in channelIndexList is not valid" %channel |
|
|
231 | 231 | |
|
|
232 | 232 | nChannels = len(channelIndexList) |
|
|
233 | 233 | |
|
|
234 | 234 | data = self.dataOut.data[channelIndexList,:] |
|
|
235 | 235 | |
|
|
236 | 236 | self.dataOut.data = data |
|
|
237 | 237 | self.dataOut.channelIndexList = channelIndexList |
|
|
238 | 238 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|
239 | 239 | self.dataOut.nChannels = nChannels |
|
|
240 | 240 | |
|
|
241 | 241 | return 1 |
|
|
242 | 242 | |
|
|
243 | 243 | class CohInt(Operation): |
|
|
244 | 244 | |
|
|
245 | 245 | __profIndex = 0 |
|
|
246 | 246 | __withOverapping = False |
|
|
247 | 247 | |
|
|
248 | 248 | __byTime = False |
|
|
249 | 249 | __initime = None |
|
|
250 | 250 | __lastdatatime = None |
|
|
251 | 251 | __integrationtime = None |
|
|
252 | 252 | |
|
|
253 | 253 | __buffer = None |
|
|
254 | 254 | |
|
|
255 | 255 | __dataReady = False |
|
|
256 | 256 | |
|
|
257 | 257 | nCohInt = None |
|
|
258 | 258 | |
|
|
259 | 259 | |
|
|
260 | 260 | def __init__(self): |
|
|
261 | 261 | |
|
|
262 | 262 | self.__isConfig = False |
|
|
263 | 263 | |
|
|
264 | 264 | def setup(self, nCohInt=None, timeInterval=None, overlapping=False): |
|
|
265 | 265 | """ |
|
|
266 | 266 | Set the parameters of the integration class. |
|
|
267 | 267 | |
|
|
268 | 268 | Inputs: |
|
|
269 | 269 | |
|
|
270 | 270 | nCohInt : Number of coherent integrations |
|
|
271 | 271 | timeInterval : Time of integration. If the parameter "nCohInt" is selected this one does not work |
|
|
272 | 272 | overlapping : |
|
|
273 | 273 | |
|
|
274 | 274 | """ |
|
|
275 | 275 | |
|
|
276 | 276 | self.__initime = None |
|
|
277 | 277 | self.__lastdatatime = 0 |
|
|
278 | 278 | self.__buffer = None |
|
|
279 | 279 | self.__dataReady = False |
|
|
280 | 280 | |
|
|
281 | 281 | |
|
|
282 | 282 | if nCohInt == None and timeInterval == None: |
|
|
283 | 283 | raise ValueError, "nCohInt or timeInterval should be specified ..." |
|
|
284 | 284 | |
|
|
285 | 285 | if nCohInt != None: |
|
|
286 | 286 | self.nCohInt = nCohInt |
|
|
287 | 287 | self.__byTime = False |
|
|
288 | 288 | else: |
|
|
289 | 289 | self.__integrationtime = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line |
|
|
290 | 290 | self.nCohInt = 9999 |
|
|
291 | 291 | self.__byTime = True |
|
|
292 | 292 | |
|
|
293 | 293 | if overlapping: |
|
|
294 | 294 | self.__withOverapping = True |
|
|
295 | 295 | self.__buffer = None |
|
|
296 | 296 | else: |
|
|
297 | 297 | self.__withOverapping = False |
|
|
298 | 298 | self.__buffer = 0 |
|
|
299 | 299 | |
|
|
300 | 300 | self.__profIndex = 0 |
|
|
301 | 301 | |
|
|
302 | 302 | def putData(self, data): |
|
|
303 | 303 | |
|
|
304 | 304 | """ |
|
|
305 | 305 | Add a profile to the __buffer and increase in one the __profileIndex |
|
|
306 | 306 | |
|
|
307 | 307 | """ |
|
|
308 | 308 | |
|
|
309 | 309 | if not self.__withOverapping: |
|
|
310 | 310 | self.__buffer += data |
|
|
311 | 311 | self.__profIndex += 1 |
|
|
312 | 312 | return |
|
|
313 | 313 | |
|
|
314 | 314 | #Overlapping data |
|
|
315 | 315 | nChannels, nHeis = data.shape |
|
|
316 | 316 | data = numpy.reshape(data, (1, nChannels, nHeis)) |
|
|
317 | 317 | |
|
|
318 | 318 | #If the buffer is empty then it takes the data value |
|
|
319 | 319 | if self.__buffer == None: |
|
|
320 | 320 | self.__buffer = data |
|
|
321 | 321 | self.__profIndex += 1 |
|
|
322 | 322 | return |
|
|
323 | 323 | |
|
|
324 | 324 | #If the buffer length is lower than nCohInt then stakcing the data value |
|
|
325 | 325 | if self.__profIndex < self.nCohInt: |
|
|
326 | 326 | self.__buffer = numpy.vstack((self.__buffer, data)) |
|
|
327 | 327 | self.__profIndex += 1 |
|
|
328 | 328 | return |
|
|
329 | 329 | |
|
|
330 | 330 | #If the buffer length is equal to nCohInt then replacing the last buffer value with the data value |
|
|
331 | 331 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) |
|
|
332 | 332 | self.__buffer[self.nCohInt-1] = data |
|
|
333 | 333 | self.__profIndex = self.nCohInt |
|
|
334 | 334 | return |
|
|
335 | 335 | |
|
|
336 | 336 | |
|
|
337 | 337 | def pushData(self): |
|
|
338 | 338 | """ |
|
|
339 | 339 | Return the sum of the last profiles and the profiles used in the sum. |
|
|
340 | 340 | |
|
|
341 | 341 | Affected: |
|
|
342 | 342 | |
|
|
343 | 343 | self.__profileIndex |
|
|
344 | 344 | |
|
|
345 | 345 | """ |
|
|
346 | 346 | |
|
|
347 | 347 | if not self.__withOverapping: |
|
|
348 | 348 | data = self.__buffer |
|
|
349 | 349 | nCohInt = self.__profIndex |
|
|
350 | 350 | |
|
|
351 | 351 | self.__buffer = 0 |
|
|
352 | 352 | self.__profIndex = 0 |
|
|
353 | 353 | |
|
|
354 | 354 | return data, nCohInt |
|
|
355 | 355 | |
|
|
356 | 356 | #Integration with Overlapping |
|
|
357 | 357 | data = numpy.sum(self.__buffer, axis=0) |
|
|
358 | 358 | nCohInt = self.__profIndex |
|
|
359 | 359 | |
|
|
360 | 360 | return data, nCohInt |
|
|
361 | 361 | |
|
|
362 | 362 | def byProfiles(self, data): |
|
|
363 | 363 | |
|
|
364 | 364 | self.__dataReady = False |
|
|
365 | 365 | avgdata = None |
|
|
366 | 366 | nCohInt = None |
|
|
367 | 367 | |
|
|
368 | 368 | self.putData(data) |
|
|
369 | 369 | |
|
|
370 | 370 | if self.__profIndex == self.nCohInt: |
|
|
371 | 371 | |
|
|
372 | 372 | avgdata, nCohInt = self.pushData() |
|
|
373 | 373 | self.__dataReady = True |
|
|
374 | 374 | |
|
|
375 | 375 | return avgdata |
|
|
376 | 376 | |
|
|
377 | 377 | def byTime(self, data, datatime): |
|
|
378 | 378 | |
|
|
379 | 379 | self.__dataReady = False |
|
|
380 | 380 | avgdata = None |
|
|
381 | 381 | nCohInt = None |
|
|
382 | 382 | |
|
|
383 | 383 | self.putData(data) |
|
|
384 | 384 | |
|
|
385 | 385 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|
386 | 386 | avgdata, nCohInt = self.pushData() |
|
|
387 | 387 | self.nCohInt = nCohInt |
|
|
388 | 388 | self.__dataReady = True |
|
|
389 | 389 | |
|
|
390 | 390 | return avgdata |
|
|
391 | 391 | |
|
|
392 | 392 | def integrate(self, data, datatime=None): |
|
|
393 | 393 | |
|
|
394 | 394 | if self.__initime == None: |
|
|
395 | 395 | self.__initime = datatime |
|
|
396 | 396 | |
|
|
397 | 397 | if self.__byTime: |
|
|
398 | 398 | avgdata = self.byTime(data, datatime) |
|
|
399 | 399 | else: |
|
|
400 | 400 | avgdata = self.byProfiles(data) |
|
|
401 | 401 | |
|
|
402 | 402 | |
|
|
403 | 403 | self.__lastdatatime = datatime |
|
|
404 | 404 | |
|
|
405 | 405 | if avgdata == None: |
|
|
406 | 406 | return None, None |
|
|
407 | 407 | |
|
|
408 | 408 | avgdatatime = self.__initime |
|
|
409 | 409 | |
|
|
410 | 410 | deltatime = datatime -self.__lastdatatime |
|
|
411 | 411 | |
|
|
412 | 412 | if not self.__withOverapping: |
|
|
413 | 413 | self.__initime = datatime |
|
|
414 | 414 | else: |
|
|
415 | 415 | self.__initime += deltatime |
|
|
416 | 416 | |
|
|
417 | 417 | return avgdata, avgdatatime |
|
|
418 | 418 | |
|
|
419 | 419 | def run(self, dataOut, nCohInt=None, timeInterval=None, overlapping=False): |
|
|
420 | 420 | |
|
|
421 | 421 | if not self.__isConfig: |
|
|
422 | 422 | self.setup(nCohInt, timeInterval, overlapping) |
|
|
423 | 423 | self.__isConfig = True |
|
|
424 | 424 | |
|
|
425 | 425 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) |
|
|
426 | 426 | |
|
|
427 | 427 | # dataOut.timeInterval *= nCohInt |
|
|
428 | 428 | dataOut.flagNoData = True |
|
|
429 | 429 | |
|
|
430 | 430 | if self.__dataReady: |
|
|
431 | 431 | dataOut.data = avgdata |
|
|
432 | 432 | dataOut.timeInterval *= self.nCohInt |
|
|
433 | 433 | dataOut.nCohInt *= self.nCohInt |
|
|
434 | 434 | dataOut.utctime = avgdatatime |
|
|
435 | dataOut.flagNoData = False No newline at end of file | |
|
|
435 | dataOut.flagNoData = False | |
|
|
436 | ||
|
|
437 | ||
|
|
438 | class SpectraProc(ProcessingUnit): | |
|
|
439 | ||
|
|
440 | def __init__(self): | |
|
|
441 | self.objectDict = {} | |
|
|
442 | self.buffer = None | |
|
|
443 | self.firstdatatime = None | |
|
|
444 | self.profIndex = 0 | |
|
|
445 | self.dataOut = Spectra() | |
|
|
446 | ||
|
|
447 | def init(self, nFFTPoints=None, pairsList=None): | |
|
|
448 | if self.dataIn.type == "Spectra": | |
|
|
449 | self.dataOut.copy(self.dataIn) | |
|
|
450 | return | |
|
|
451 | ||
|
|
452 | if self.dataIn.type == "Voltage": | |
|
|
453 | ||
|
|
454 | if nFFTPoints == None: | |
|
|
455 | raise ValueError, "This SpectraProc.setup() need nFFTPoints input variable" | |
|
|
456 | ||
|
|
457 | if pairsList == None: | |
|
|
458 | nPairs = 0 | |
|
|
459 | else: | |
|
|
460 | nPairs = len(pairsList) | |
|
|
461 | ||
|
|
462 | self.dataOut.nFFTPoints = nFFTPoints | |
|
|
463 | self.dataOut.pairsList = pairsList | |
|
|
464 | self.dataOut.nPairs = nPairs | |
|
|
465 | ||
|
|
466 | if self.buffer == None: | |
|
|
467 | self.buffer = numpy.zeros((self.dataIn.nChannels, | |
|
|
468 | self.dataOut.nFFTPoints, | |
|
|
469 | self.dataIn.nHeights), | |
|
|
470 | dtype='complex') | |
|
|
471 | ||
|
|
472 | ||
|
|
473 | self.buffer[:,self.profIndex,:] = self.dataIn.data | |
|
|
474 | self.profIndex += 1 | |
|
|
475 | ||
|
|
476 | if self.firstdatatime == None: | |
|
|
477 | self.firstdatatime = self.dataIn.utctime | |
|
|
478 | ||
|
|
479 | if self.profIndex == self.dataOut.nFFTPoints: | |
|
|
480 | self.__updateObjFromInput() | |
|
|
481 | self.__getFft() | |
|
|
482 | ||
|
|
483 | self.dataOut.flagNoData = False | |
|
|
484 | ||
|
|
485 | self.buffer = None | |
|
|
486 | self.firstdatatime = None | |
|
|
487 | self.profIndex = 0 | |
|
|
488 | ||
|
|
489 | return | |
|
|
490 | ||
|
|
491 | raise ValuError, "The type object %s is not valid"%(self.dataIn.type) | |
|
|
492 | ||
|
|
493 | def __updateObjFromInput(self): | |
|
|
494 | ||
|
|
495 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() | |
|
|
496 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() | |
|
|
497 | self.dataOut.channelList = self.dataIn.channelList | |
|
|
498 | self.dataOut.heightList = self.dataIn.heightList | |
|
|
499 | self.dataOut.dtype = self.dataIn.dtype | |
|
|
500 | self.dataOut.nHeights = self.dataIn.nHeights | |
|
|
501 | self.dataOut.nChannels = self.dataIn.nChannels | |
|
|
502 | self.dataOut.nBaud = self.dataIn.nBaud | |
|
|
503 | self.dataOut.nCode = self.dataIn.nCode | |
|
|
504 | self.dataOut.code = self.dataIn.code | |
|
|
505 | self.dataOut.nProfiles = self.dataOut.nFFTPoints | |
|
|
506 | self.dataOut.channelIndexList = self.dataIn.channelIndexList | |
|
|
507 | self.dataOut.flagTimeBlock = self.dataIn.flagTimeBlock | |
|
|
508 | self.dataOut.utctime = self.firstdatatime | |
|
|
509 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada | |
|
|
510 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip | |
|
|
511 | self.dataOut.flagShiftFFT = self.dataIn.flagShiftFFT | |
|
|
512 | self.dataOut.nCohInt = self.dataIn.nCohInt | |
|
|
513 | self.dataOut.nIncohInt = 1 | |
|
|
514 | self.dataOut.ippSeconds = self.dataIn.ippSeconds | |
|
|
515 | self.dataOut.timeInterval = self.dataIn.timeInterval*self.dataOut.nFFTPoints | |
|
|
516 | ||
|
|
517 | def __getFft(self): | |
|
|
518 | """ | |
|
|
519 | Convierte valores de Voltaje a Spectra | |
|
|
520 | ||
|
|
521 | Affected: | |
|
|
522 | self.dataOut.data_spc | |
|
|
523 | self.dataOut.data_cspc | |
|
|
524 | self.dataOut.data_dc | |
|
|
525 | self.dataOut.heightList | |
|
|
526 | self.dataOut.m_BasicHeader | |
|
|
527 | self.dataOut.m_ProcessingHeader | |
|
|
528 | self.dataOut.radarControllerHeaderObj | |
|
|
529 | self.dataOut.systemHeaderObj | |
|
|
530 | self.profIndex | |
|
|
531 | self.buffer | |
|
|
532 | self.dataOut.flagNoData | |
|
|
533 | self.dataOut.dtype | |
|
|
534 | self.dataOut.nPairs | |
|
|
535 | self.dataOut.nChannels | |
|
|
536 | self.dataOut.nProfiles | |
|
|
537 | self.dataOut.systemHeaderObj.numChannels | |
|
|
538 | self.dataOut.m_ProcessingHeader.totalSpectra | |
|
|
539 | self.dataOut.m_ProcessingHeader.profilesPerBlock | |
|
|
540 | self.dataOut.m_ProcessingHeader.numHeights | |
|
|
541 | self.dataOut.m_ProcessingHeader.spectraComb | |
|
|
542 | self.dataOut.m_ProcessingHeader.shif_fft | |
|
|
543 | """ | |
|
|
544 | fft_volt = numpy.fft.fft(self.buffer,axis=1) | |
|
|
545 | dc = fft_volt[:,0,:] | |
|
|
546 | ||
|
|
547 | #calculo de self-spectra | |
|
|
548 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) | |
|
|
549 | spc = fft_volt * numpy.conjugate(fft_volt) | |
|
|
550 | spc = spc.real | |
|
|
551 | ||
|
|
552 | blocksize = 0 | |
|
|
553 | blocksize += dc.size | |
|
|
554 | blocksize += spc.size | |
|
|
555 | ||
|
|
556 | cspc = None | |
|
|
557 | pairIndex = 0 | |
|
|
558 | if self.dataOut.pairsList != None: | |
|
|
559 | #calculo de cross-spectra | |
|
|
560 | cspc = numpy.zeros((self.dataOut.nPairs, self.dataOut.nFFTPoints, self.dataOut.nHeights), dtype='complex') | |
|
|
561 | for pair in self.dataOut.pairsList: | |
|
|
562 | cspc[pairIndex,:,:] = numpy.abs(fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:])) | |
|
|
563 | pairIndex += 1 | |
|
|
564 | blocksize += cspc.size | |
|
|
565 | ||
|
|
566 | self.dataOut.data_spc = spc | |
|
|
567 | self.dataOut.data_cspc = cspc | |
|
|
568 | self.dataOut.data_dc = dc | |
|
|
569 | self.dataOut.blockSize = blocksize | |
|
|
570 | ||
|
|
571 | ||
|
|
572 | class IncohInt(Operation): | |
|
|
573 | ||
|
|
574 | def __init__(self): | |
|
|
575 | pass No newline at end of file | |
| @@ -1,80 +1,103 | |||
|
|
1 | 1 | """ |
|
|
2 | 2 | $Author$ |
|
|
3 | 3 | $Id$ |
|
|
4 | 4 | |
|
|
5 | 5 | """ |
|
|
6 | 6 | import datetime |
|
|
7 | 7 | from controller import * |
|
|
8 | 8 | from model import * |
|
|
9 | 9 | |
|
|
10 | 10 | |
|
|
11 | 11 | class Test(): |
|
|
12 | 12 | def __init__(self): |
|
|
13 | 13 | self.createObjects() |
|
|
14 | 14 | self.run() |
|
|
15 | 15 | |
|
|
16 | 16 | def createObjects(self): |
|
|
17 | 17 | |
|
|
18 | 18 | self.upConfig = controller.UPConf(id=1, name="voltageproc", type="voltage") |
|
|
19 | 19 | |
|
|
20 | 20 | opConf = self.upConfig.addOperation(name="init", priority=0) |
|
|
21 | 21 | |
|
|
22 | 22 | opConf1 = self.upConfig.addOperation(name="CohInt", priority=1, type="other") |
|
|
23 | 23 | opConf1.addParameter(name="nCohInt", value=100) |
|
|
24 | 24 | |
|
|
25 | 25 | opConf2 = self.upConfig.addOperation(name="Scope", priority=2, type="other") |
|
|
26 | 26 | opConf2.addParameter(name="idfigure", value=1) |
|
|
27 | 27 | |
|
|
28 | ||
|
|
29 | self.upConfigSpc = controller.UPConf(id=2, name="spectraproc", type="spectra") | |
|
|
30 | opConf = self.upConfigSpc.addOperation(name="init", priority=0) | |
|
|
31 | opConf.addParameter(name="nFFTPoints", value=8) | |
|
|
32 | ||
|
|
33 | opConf3 = self.upConfigSpc.addOperation(name="SpectraPlot", priority=1, type="other") | |
|
|
34 | opConf3.addParameter(name="idfigure", value=2) | |
|
|
35 | ||
|
|
28 | 36 | # opConf = self.upConfig.addOperation(name="selectChannels", priority=3) |
|
|
29 | 37 | # opConf.addParameter(name="channelList", value=[0,1]) |
|
|
30 | 38 | |
|
|
31 | 39 | |
|
|
32 | 40 | ######################################### |
|
|
33 | 41 | self.objR = jrodataIO.VoltageReader() |
|
|
34 | 42 | self.objP = jroprocessing.VoltageProc() |
|
|
43 | self.objSpc = jroprocessing.SpectraProc() | |
|
|
35 | 44 | |
|
|
36 | 45 | self.objInt = jroprocessing.CohInt() |
|
|
37 | 46 | |
|
|
38 | 47 | self.objP.addOperation(self.objInt, opConf1.id) |
|
|
39 | 48 | |
|
|
40 | 49 | self.objScope = jroplot.Scope() |
|
|
41 | 50 | |
|
|
42 | 51 | self.objP.addOperation(self.objScope, opConf2.id) |
|
|
43 | 52 | |
|
|
53 | self.objSpcPlot = jroplot.SpectraPlot() | |
|
|
54 | ||
|
|
55 | self.objSpc.addOperation(self.objSpcPlot, opConf3.id) | |
|
|
56 | ||
|
|
44 | 57 | self.connect(self.objR, self.objP) |
|
|
45 | 58 | |
|
|
59 | self.connect(self.objP, self.objSpc) | |
|
|
60 | ||
|
|
46 | 61 | def connect(self, obj1, obj2): |
|
|
47 |
obj2. |
|
|
|
62 | obj2.setInput(obj1.getOutput()) | |
|
|
48 | 63 | |
|
|
49 | 64 | def run(self): |
|
|
50 | 65 | |
|
|
51 | 66 | while(True): |
|
|
52 | 67 | self.objR.run(path="/Users/dsuarez/Remote/Meteors", |
|
|
53 | 68 | startDate=datetime.date(2012,1,1), |
|
|
54 | 69 | endDate=datetime.date(2012,12,30), |
|
|
55 | 70 | startTime=datetime.time(0,0,0), |
|
|
56 | 71 | endTime=datetime.time(23,59,59), |
|
|
57 | 72 | set=0, |
|
|
58 | 73 | expLabel = "", |
|
|
59 | 74 | ext = None, |
|
|
60 | 75 | online = False) |
|
|
61 | 76 | |
|
|
62 | 77 | for opConf in self.upConfig.getOperationObjList(): |
|
|
63 | 78 | kwargs={} |
|
|
64 | 79 | for parm in opConf.getParameterObjList(): |
|
|
65 | 80 | kwargs[parm.name]=parm.value |
|
|
66 | 81 | |
|
|
67 | 82 | self.objP.call(opConf,**kwargs) |
|
|
83 | ||
|
|
84 | ############################ | |
|
|
85 | for opConfSpc in self.upConfigSpc.getOperationObjList(): | |
|
|
86 | kwargs={} | |
|
|
87 | for parm in opConfSpc.getParameterObjList(): | |
|
|
88 | kwargs[parm.name]=parm.value | |
|
|
89 | ||
|
|
90 | self.objSpc.call(opConfSpc,**kwargs) | |
|
|
68 | 91 | |
|
|
69 | 92 | if self.objR.flagNoMoreFiles: |
|
|
70 | 93 | break |
|
|
71 | 94 | |
|
|
72 | 95 | if self.objR.flagIsNewBlock: |
|
|
73 | 96 | print 'Block No %04d, Time: %s' %(self.objR.nTotalBlocks, |
|
|
74 | 97 | datetime.datetime.fromtimestamp(self.objR.basicHeaderObj.utc + self.objR.basicHeaderObj.miliSecond/1000.0),) |
|
|
75 | 98 | |
|
|
76 | 99 | |
|
|
77 | 100 | |
|
|
78 | 101 | |
|
|
79 | 102 | if __name__ == "__main__": |
|
|
80 | 103 | Test() No newline at end of file |
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