def create_inp_build_instructions(inpA, inpB, path, filename, comments=''):
"""
pass in two inp file paths and produce a spreadsheet showing the differences
found in each of the INP sections. These differences should then be used
whenever we need to rebuild this model from the baseline reference model.
Note: this should be split into a func that creates a overall model "diff"
that can then be written as a BI file or used programmatically
"""
allsections_a = funcs.complete_inp_headers(inpA)
modela = swmmio.Model(inpA)
modelb = swmmio.Model(inpB)
#create build insructions folder
if not os.path.exists(path):
os.makedirs(path)
filepath = os.path.join(path, filename) + '.txt'
# xlpath = os.path.join(path, filename) + '.xlsx'
# excelwriter = pd.ExcelWriter(xlpath)
# vc_utils.create_change_info_sheet(excelwriter, modela, modelb)
problem_sections = [
'[TITLE]', '[CURVES]', '[TIMESERIES]', '[RDII]', '[HYDROGRAPHS]'
]
with open(filepath, 'w') as newf:
#write meta data
metadata = {
#'Baseline Model':modela.inp.path,
#'ID':filename,
'Parent Models': {
'Baseline': {
inpA: vc_utils.modification_date(inpA)
},
'Alternatives': {
inpB: vc_utils.modification_date(inpB)
}
},
'Log': {
filename: comments
}
}
#print metadata
vc_utils.write_meta_data(newf, metadata)
for section in allsections_a['order']:
if section not in problem_sections:
#calculate the changes in the current section
changes = INPDiff(modela, modelb, section)
data = pd.concat(
[changes.removed, changes.added, changes.altered])
#vc_utils.write_excel_inp_section(excelwriter, allsections_a, section, data)
vc_utils.write_inp_section(
newf,
allsections_a,
section,
data,
pad_top=False,
na_fill='NaN') #na fill fixes SNOWPACK blanks spaces issue
def save(self, dir, filename):
"""
save the current BuildInstructions instance to file (human readable)
"""
if not os.path.exists(dir):
os.makedirs(dir)
filepath = os.path.join(dir, filename)
with open (filepath, 'w') as f:
vc_utils.write_meta_data(f, self.metadata)
for section, change_obj in self.instructions.items():
section_df = pd.concat([change_obj.removed, change_obj.altered, change_obj.added])
vc_utils.write_inp_section(f, allheaders=None, sectionheader=section,
section_data=section_df, pad_top=False, na_fill='NaN')
def create_inp_build_instructions(inpA, inpB, path, filename, comments=''):
"""
pass in two inp file paths and produce a spreadsheet showing the differences
found in each of the INP sections. These differences should then be used
whenever we need to rebuild this model from the baseline reference model.
Note: this should be split into a func that creates a overall model "diff"
that can then be written as a BI file or used programmatically
"""
allsections_a = funcs.complete_inp_headers(inpA)
modela = swmmio.Model(inpA)
modelb = swmmio.Model(inpB)
#create build insructions folder
if not os.path.exists(path):
os.makedirs(path)
filepath = os.path.join(path, filename) + '.txt'
# xlpath = os.path.join(path, filename) + '.xlsx'
# excelwriter = pd.ExcelWriter(xlpath)
# vc_utils.create_change_info_sheet(excelwriter, modela, modelb)
problem_sections = ['[TITLE]', '[CURVES]', '[TIMESERIES]', '[RDII]', '[HYDROGRAPHS]']
with open (filepath, 'w') as newf:
#write meta data
metadata = {
#'Baseline Model':modela.inp.path,
#'ID':filename,
'Parent Models':{
'Baseline':{inpA:vc_utils.modification_date(inpA)},
'Alternatives':{inpB:vc_utils.modification_date(inpB)}
},
'Log':{filename:comments}
}
#print metadata
vc_utils.write_meta_data(newf, metadata)
for section in allsections_a['order']:
if section not in problem_sections:
#calculate the changes in the current section
changes = INPDiff(modela, modelb, section)
data = pd.concat([changes.removed, changes.added, changes.altered])
#vc_utils.write_excel_inp_section(excelwriter, allsections_a, section, data)
vc_utils.write_inp_section(newf, allsections_a, section, data, pad_top=False, na_fill='NaN') #na fill fixes SNOWPACK blanks spaces issue
def save(self, dir, filename):
"""
save the current BuildInstructions instance to file (human readable)
"""
if not os.path.exists(dir):
os.makedirs(dir)
filepath = os.path.join(dir, filename)
with open(filepath, 'w') as f:
vc_utils.write_meta_data(f, self.metadata)
for section, change_obj in self.instructions.iteritems():
section_df = pd.concat(
[change_obj.removed, change_obj.altered, change_obj.added])
vc_utils.write_inp_section(f,
allheaders=None,
sectionheader=section,
section_data=section_df,
pad_top=False,
na_fill='NaN')
