diff options
Diffstat (limited to 'src/kicadtoNgspice/KicadtoNgspice.py')
| -rw-r--r-- | src/kicadtoNgspice/KicadtoNgspice.py | 450 |
1 files changed, 225 insertions, 225 deletions
diff --git a/src/kicadtoNgspice/KicadtoNgspice.py b/src/kicadtoNgspice/KicadtoNgspice.py index 4ac7fd5a..eaa9592e 100644 --- a/src/kicadtoNgspice/KicadtoNgspice.py +++ b/src/kicadtoNgspice/KicadtoNgspice.py @@ -26,8 +26,9 @@ import DeviceModel import SubcircuitTab import Convert import TrackWidget +import json -from xml.etree import ElementTree as ET +#from xml.etree import ElementTree as ET @@ -98,6 +99,7 @@ class MainWindow(QtGui.QWidget): schematicInfo,outputOption,modelList,unknownModelList,multipleModelList,plotText = obj_proc.convertICintoBasicBlocks(schematicInfo,outputOption,modelList,plotText) print "Model available in the Schematic :",modelList + """ Checking if any unknown model is used in schematic which is not recognized by NgSpice. @@ -192,243 +194,241 @@ class MainWindow(QtGui.QWidget): global analysisoutput global kicad store_schematicInfo = list(schematicInfo) - (projpath,filename)=os.path.split(self.kicadFile) - project_name=os.path.basename(projpath) - - check=1 - try: - fr=open(os.path.join(projpath,project_name+"_Previous_Values.xml"),'r') - temp_tree=ET.parse(fr) - temp_root=temp_tree.getroot() - except: - check=0 + (projpath,filename) = os.path.split(self.kicadFile) + project_name = os.path.basename(projpath) - fw=open(os.path.join(projpath,project_name+"_Previous_Values.xml"),'w') - if check==0: - attr_parent=ET.Element("KicadtoNgspice") - if check==1: - attr_parent=temp_root - - for child in attr_parent: - if child.tag=="analysis": - attr_parent.remove(child) + fw = open(os.path.join(projpath,project_name+"_Previous_Values.json"),'w') + json_data = {} + + + """ + Writing Analysis values + """ + + json_data["analysis"] = {} - attr_analysis=ET.SubElement(attr_parent,"analysis") - attr_ac=ET.SubElement(attr_analysis,"ac") + json_data["analysis"]["ac"] = {} if obj_analysis.Lin.isChecked(): - ET.SubElement(attr_ac,"field1",name="Lin").text="true" - ET.SubElement(attr_ac,"field2",name="Dec").text="false" - ET.SubElement(attr_ac,"field3",name="Oct").text="false" + json_data["analysis"]["ac"]["Lin"] = "true" + json_data["analysis"]["ac"]["Dec"] = "false" + json_data["analysis"]["ac"]["Oct"] = "false" elif obj_analysis.Dec.isChecked(): - ET.SubElement(attr_ac,"field1",name="Lin").text="false" - ET.SubElement(attr_ac,"field2",name="Dec").text="true" - ET.SubElement(attr_ac,"field3",name="Oct").text="false" + json_data["analysis"]["ac"]["Lin"] = "false" + json_data["analysis"]["ac"]["Dec"] = "true" + json_data["analysis"]["ac"]["Oct"] = "false" if obj_analysis.Oct.isChecked(): - ET.SubElement(attr_ac,"field1",name="Lin").text="false" - ET.SubElement(attr_ac,"field2",name="Dec").text="false" - ET.SubElement(attr_ac,"field3",name="Oct").text="true" + json_data["analysis"]["ac"]["Lin"] = "false" + json_data["analysis"]["ac"]["Dec"] = "false" + json_data["analysis"]["ac"]["Oct"] = "true" else: pass - ET.SubElement(attr_ac,"field4",name="Start Frequency").text= str(obj_analysis.ac_entry_var[0].text()) - ET.SubElement(attr_ac,"field5",name="Stop Frequency").text= str(obj_analysis.ac_entry_var[1].text()) - ET.SubElement(attr_ac,"field6",name="No. of points").text= str(obj_analysis.ac_entry_var[2].text()) - ET.SubElement(attr_ac,"field7",name="Start Fre Combo").text= obj_analysis.ac_parameter[0] - ET.SubElement(attr_ac,"field8",name="Stop Fre Combo").text= obj_analysis.ac_parameter[1] - attr_dc=ET.SubElement(attr_analysis,"dc") - ET.SubElement(attr_dc,"field1",name="Source 1").text= str(obj_analysis.dc_entry_var[0].text()) - ET.SubElement(attr_dc,"field2",name="Start").text= str(obj_analysis.dc_entry_var[1].text()) - ET.SubElement(attr_dc,"field3",name="Increment").text= str(obj_analysis.dc_entry_var[2].text()) - ET.SubElement(attr_dc,"field4",name="Stop").text= str(obj_analysis.dc_entry_var[3].text()) - #print "OBJ_ANALYSIS.CHECK -----",self.obj_track.op_check[-1] - ET.SubElement(attr_dc,"field5",name="Operating Point").text=str(self.obj_track.op_check[-1]) - ET.SubElement(attr_dc,"field6",name="Start Combo").text= obj_analysis.dc_parameter[0] - ET.SubElement(attr_dc,"field7",name="Increment Combo").text=obj_analysis.dc_parameter[1] - ET.SubElement(attr_dc,"field8",name="Stop Combo").text= obj_analysis.dc_parameter[2] - ET.SubElement(attr_dc,"field9",name="Source 2").text= str(obj_analysis.dc_entry_var[4].text()) - ET.SubElement(attr_dc,"field10",name="Start").text= str(obj_analysis.dc_entry_var[5].text()) - ET.SubElement(attr_dc,"field11",name="Increment").text= str(obj_analysis.dc_entry_var[6].text()) - ET.SubElement(attr_dc,"field12",name="Stop").text= str(obj_analysis.dc_entry_var[7].text()) - ET.SubElement(attr_dc,"field13",name="Start Combo").text= obj_analysis.dc_parameter[3] - ET.SubElement(attr_dc,"field14",name="Increment Combo").text=obj_analysis.dc_parameter[4] - ET.SubElement(attr_dc,"field15",name="Stop Combo").text= obj_analysis.dc_parameter[5] - - - attr_tran=ET.SubElement(attr_analysis,"tran") - ET.SubElement(attr_tran,"field1",name="Start Time").text= str(obj_analysis.tran_entry_var[0].text()) - ET.SubElement(attr_tran,"field2",name="Step Time").text= str(obj_analysis.tran_entry_var[1].text()) - ET.SubElement(attr_tran,"field3",name="Stop Time").text= str(obj_analysis.tran_entry_var[2].text()) - ET.SubElement(attr_tran,"field4",name="Start Combo").text= obj_analysis.tran_parameter[0] - ET.SubElement(attr_tran,"field5",name="Step Combo").text= obj_analysis.tran_parameter[1] - ET.SubElement(attr_tran,"field6",name="Stop Combo").text= obj_analysis.tran_parameter[2] - #print "TRAN PARAMETER 2-----",obj_analysis.tran_parameter[2] - - if check==0: - attr_source=ET.SubElement(attr_parent,"source") - if check==1: - for child in attr_parent: - if child.tag=="source": - attr_source=child - count=1 - grand_child_count=1 - - for i in store_schematicInfo: - tmp_check=0 - words=i.split(' ') - wordv=words[0] - for child in attr_source: - if child.tag==wordv and child.text==words[len(words)-1]: - tmp_check=1 - for grand_child in child: - grand_child.text=str(obj_source.entry_var[grand_child_count].text()) - grand_child_count=grand_child_count+1 - grand_child_count=grand_child_count+1 - if tmp_check==0: - words=i.split(' ') - wordv=words[0] - if wordv[0]=="v" or wordv[0]=="i": - attr_var=ET.SubElement(attr_source,words[0],name="Source type") - attr_var.text=words[len(words)-1] - #ET.SubElement(attr_ac,"field1",name="Lin").text="true" - if words[len(words)-1]=="ac": - #attr_ac=ET.SubElement(attr_var,"ac") - ET.SubElement(attr_var,"field1",name="Amplitude").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var, "field2", name = "Phase").text = str(obj_source.entry_var[count].text()) - count=count+2 - elif words[len(words)-1]=="dc": - #attr_dc=ET.SubElement(attr_var,"dc") - ET.SubElement(attr_var,"field1",name="Value").text=str(obj_source.entry_var[count].text()) - count=count+2 - elif words[len(words)-1]=="sine": - #attr_sine=ET.SubElement(attr_var,"sine") - ET.SubElement(attr_var,"field1",name="Offset Value").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field2",name="Amplitude").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field3",name="Frequency").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field4",name="Delay Time").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field5",name="Damping Factor").text=str(obj_source.entry_var[count].text()) - count=count+2 - elif words[len(words)-1]=="pulse": - #attr_pulse=ET.SubElement(attr_var,"pulse") - ET.SubElement(attr_var,"field1",name="Initial Value").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field2",name="Pulse Value").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field3",name="Delay Time").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field4",name="Rise Time").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field5",name="Fall Time").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field5",name="Pulse width").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field5",name="Period").text=str(obj_source.entry_var[count].text()) - count=count+2 - elif words[len(words)-1]=="pwl": - #attr_pwl=ET.SubElement(attr_var,"pwl") - ET.SubElement(attr_var,"field1",name="Enter in pwl format").text=str(obj_source.entry_var[count].text()) - count=count+2 - elif words[len(words)-1]=="exp": - #attr_exp=ET.SubElement(attr_var,"exp") - ET.SubElement(attr_var,"field1",name="Initial Value").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field2",name="Pulsed Value").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field3",name="Rise Delay Time").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field4",name="Rise Time Constant").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field5",name="Fall TIme").text=str(obj_source.entry_var[count].text()) - count=count+1 - ET.SubElement(attr_var,"field6",name="Fall Time Constant").text=str(obj_source.entry_var[count].text()) - count=count+2 - else: - pass - - - if check==0: - attr_model=ET.SubElement(attr_parent,"model") - if check==1: - for child in attr_parent: - if child.tag=="model": - attr_model=child - i=0 - #tmp_check is a variable to check for duplicates in the xml file - tmp_check=0 - #tmp_i is the iterator in case duplicates are there; then in that case we need to replace only the child node and not create a new parent node - + + json_data["analysis"]["ac"]["Start Frequency"] = str(obj_analysis.ac_entry_var[0].text()) + json_data["analysis"]["ac"]["Stop Frequency"] = str(obj_analysis.ac_entry_var[1].text()) + json_data["analysis"]["ac"]["No. of points"] = str(obj_analysis.ac_entry_var[2].text()) + json_data["analysis"]["ac"]["Start Fre Combo"] = obj_analysis.ac_parameter[0] + json_data["analysis"]["ac"]["Stop Fre Combo"] = obj_analysis.ac_parameter[1] + + json_data["analysis"]["dc"] = {} + json_data["analysis"]["dc"]["Source 1"] = str(obj_analysis.dc_entry_var[0].text()) + json_data["analysis"]["dc"]["Start"] = str(obj_analysis.dc_entry_var[1].text()) + json_data["analysis"]["dc"]["Increment"] = str(obj_analysis.dc_entry_var[2].text()) + json_data["analysis"]["dc"]["Stop"] = str(obj_analysis.dc_entry_var[3].text()) + json_data["analysis"]["dc"]["Operating Point"] = str(self.obj_track.op_check[-1]) + json_data["analysis"]["dc"]["Start Combo"] = obj_analysis.dc_parameter[0] + json_data["analysis"]["dc"]["Increment Combo"] = obj_analysis.dc_parameter[1] + json_data["analysis"]["dc"]["Stop Combo"] = obj_analysis.dc_parameter[2] + json_data["analysis"]["dc"]["Source 2"] = str(obj_analysis.dc_entry_var[4].text()) + json_data["analysis"]["dc"]["Start2"] = str(obj_analysis.dc_entry_var[5].text()) + json_data["analysis"]["dc"]["Increment2"] = str(obj_analysis.dc_entry_var[6].text()) + json_data["analysis"]["dc"]["Stop2"] = str(obj_analysis.dc_entry_var[7].text()) + json_data["analysis"]["dc"]["Start Combo2"] = obj_analysis.dc_parameter[3] + json_data["analysis"]["dc"]["Increment Combo2"] = obj_analysis.dc_parameter[4] + json_data["analysis"]["dc"]["Stop Combo2"] = obj_analysis.dc_parameter[5] + + json_data["analysis"]["tran"] = {} + json_data["analysis"]["tran"]["Start Time"] = str(obj_analysis.tran_entry_var[0].text()) + json_data["analysis"]["tran"]["Step Time"] = str(obj_analysis.tran_entry_var[1].text()) + json_data["analysis"]["tran"]["Stop Time"] = str(obj_analysis.tran_entry_var[2].text()) + json_data["analysis"]["tran"]["Start Combo"] = obj_analysis.tran_parameter[0] + json_data["analysis"]["tran"]["Step Combo"] = obj_analysis.tran_parameter[1] + json_data["analysis"]["tran"]["Stop Combo"] = obj_analysis.tran_parameter[2] + + + """ + Writing Source values + """ + + json_data["source"] = {} + count = 1 + + for line in store_schematicInfo: + words = line.split(' ') + wordv = words[0] + + if wordv[0] == "v" or wordv[0] == "i": + json_data["source"][wordv] = {} + json_data["source"][wordv]["type"] = words[len(words)-1] + json_data["source"][wordv]["values"] = [] + + if words[len(words)-1] == "ac": + amp = {"Amplitude": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(amp) + + phase = {"Phase": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(phase) + + elif words[len(words)-1] == "dc": + value = {"Value": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(value) + + elif words[len(words)-1] == "sine": + offset = {"Offset Value": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(offset) + + amp = {"Amplitude": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(amp) + + freq = {"Freuency": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(freq) + + delay = {"Delay Time": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(delay) + + damp = {"Damping Factor": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(damp) + + elif words[len(words)-1] == "pulse": + initial = {"Initial Value": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(initial) + + pulse = {"Pulse Value": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(pulse) + + delay = {"Delay Time": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(delay) + + rise = {"Rise Time": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(rise) + + fall = {"Fall Time": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(fall) + + width = {"Pulse width": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(width) + + period = {"Period": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(period) + + elif words[len(words)-1]=="pwl": + pwl = {"Enter in pwl format": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(pwl) + + elif words[len(words)-1]=="exp": + initial = {"Initial Value": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(initial) + + pulsed = {"Pulsed Value": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(pulsed) + + rise = {"Rise Delay Time": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(rise) + + fall = {"Fall Time": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(fall) + + fallConstant = {"Fall Time Constant": str(obj_source.entry_var[count].text())} + count += 1 + json_data["source"][wordv]["values"].append(fallConstant) + + else: + pass + + + """ + Writing Model values + """ + + i = 0 + json_data["model"] = {} + for line in modelList: - tmp_check=0 for rand_itr in obj_model.obj_trac.modelTrack: - if rand_itr[2]==line[2] and rand_itr[3]==line[3]: - start=rand_itr[7] - end=rand_itr[8] - i=start - for child in attr_model: - if child.text==line[2] and child.tag==line[3]: - for grand_child in child: - if i<=end: - grand_child.text=str(obj_model.obj_trac.model_entry_var[i].text()) - i=i+1 - else: - pass - tmp_check=1 - - if tmp_check==0: - attr_ui=ET.SubElement(attr_model,line[3],name="type") - attr_ui.text=line[2] - for key,value in line[7].iteritems(): - if hasattr(value, '__iter__') and i<=end: - for item in value: - ET.SubElement(attr_ui,"field"+str(i+1),name=item).text=str(obj_model.obj_trac.model_entry_var[i].text()) - i=i+1 + if rand_itr[2] == line[2] and rand_itr[3] == line[3]: + start = rand_itr[7] + end = rand_itr[8] + i = start + + json_data["model"][line[3]] = {} + json_data["model"][line[3]]["type"] = line[2] + json_data["model"][line[3]]["values"] = [] + + for key, value in line[7].iteritems(): + if hasattr(value, '__iter__') and i <= end: + for item in value: + fields = {item: str(obj_model.obj_trac.model_entry_var[i].text())} + json_data["model"][line[3]]["values"].append(fields) + i = i + 1 - else: - ET.SubElement(attr_ui,"field"+str(i+1),name=value).text=str(obj_model.obj_trac.model_entry_var[i].text()) - - i=i+1 - - if check==0: - attr_devicemodel=ET.SubElement(attr_parent,"devicemodel") - if check==1: - for child in attr_parent: - if child.tag=="devicemodel": - del child[:] - attr_devicemodel=child - + else: + fields = {value: str(obj_model.obj_trac.model_entry_var[i].text())} + json_data["model"][line[3]]["values"].append(fields) + i = i + 1 + + + """ + Writing Device Model values + """ + + json_data["deviceModel"] = {} - for i in obj_devicemodel.devicemodel_dict_beg: - attr_var=ET.SubElement(attr_devicemodel,i) - it=obj_devicemodel.devicemodel_dict_beg[i] - end=obj_devicemodel.devicemodel_dict_end[i] - while it<=end: - ET.SubElement(attr_var,"field").text=str(obj_devicemodel.entry_var[it].text()) - it=it+1 - - if check==0: - attr_subcircuit=ET.SubElement(attr_parent,"subcircuit") - if check==1: - for child in attr_parent: - if child.tag=="subcircuit": - del child[:] - attr_subcircuit=child - - for i in obj_subcircuitTab.subcircuit_dict_beg: - attr_var=ET.SubElement(attr_subcircuit,i) - it=obj_subcircuitTab.subcircuit_dict_beg[i] - end=obj_subcircuitTab.subcircuit_dict_end[i] - - while it<=end: - ET.SubElement(attr_var,"field").text=str(obj_subcircuitTab.entry_var[it].text()) - it=it+1 + for device in obj_devicemodel.devicemodel_dict_beg: + json_data["deviceModel"][device] = [] + it = obj_devicemodel.devicemodel_dict_beg[device] + end = obj_devicemodel.devicemodel_dict_end[device] - - tree=ET.ElementTree(attr_parent) - tree.write(fw) + while it <= end: + json_data["deviceModel"][device].append(str(obj_devicemodel.entry_var[it].text())) + it = it + 1 + + + """ + Writing Subcircuit values + """ + + json_data["subcircuit"] = {} + for subckt in obj_subcircuitTab.subcircuit_dict_beg: + json_data["subcircuit"][subckt] = [] + it = obj_subcircuitTab.subcircuit_dict_beg[subckt] + end = obj_subcircuitTab.subcircuit_dict_end[subckt] + + while it <= end: + json_data["subcircuit"][subckt].append(str(obj_subcircuitTab.entry_var[it].text())) + it = it + 1 + + write_data = json.dumps(json_data) + fw.write(write_data) self.obj_convert = Convert.Convert(self.obj_track.sourcelisttrack["ITEMS"], |