def setupForTheTradeObject(self, getMax=False, infile="trades.8.csv"):
'''Set up the DataFrames'''
jf = JournalFiles(mydevel=True,
infile=infile,
indir="data/",
outdir="out/")
tkt = Statement_DAS(jf)
trades, jf = tkt.getTrades()
idf = InputDataFrame()
trades, success = idf.processInputFile(trades)
tu = DefineTrades()
(dummy_len, dummy_df, ldf) = tu.processOutputDframe(trades)
srf = SumReqFields()
maxlen = 0
maxindex = -1 #The index that yieds the maximumbal from ldf[i]
for i in range(len(ldf)):
if len(ldf[i]) > maxlen:
maxlen = len(ldf[i])
maxindex = i
index = randint(0, len(ldf) - 1)
if getMax:
index = maxindex
self.atrade = ldf[index]
self.tto = TheTradeObject(self.atrade, True, srf)
return self.tto
def reloadit(self):
from journal.statement import Statement_DAS as Ticket
from journal.statement import Statement_IBActivity
from journal.pandasutil import InputDataFrame
infile = self.jf.inpathfile
if not os.path.exists(infile):
print("There is a problem. Unable to fully save this file.")
return None
if self.jf.inputType == 'IB_HTML':
statement = Statement_IBActivity(self.jf)
df = statement.getTrades_IBActivity(self.jf.inpathfile)
elif self.jf.inputType == 'DAS':
tkt = Ticket(self.jf)
df, self.jf = tkt.getTrades()
# trades = pd.read_csv(self.jf.inpathfile)
else:
#Temporary
print('Opening a non standard file name in DAS')
tkt = Ticket(self.jf)
df, self.jf = tkt.getTrades()
idf = InputDataFrame()
trades, success = idf.processInputFile(df, self.jf.theDate, self.jf)
self.df = trades
if not success:
return
def test_NewSingleTxPerTicket(self):
'''
Test the method Statement_DAS.newSingleTxPerTicket. That method creates a new csv file
reducing multi row transactions to a single row, averaging the prices, totaling the
amounts.
Explicitly tests: A newFile has been created and made the infile of JournalFiles.
The PL summary is the same between the two files .
The shares total for each symbol/account/buy/sell is the same
'''
rc = ReqCol()
for infile in self.infiles:
outdir = 'out/'
indir = 'data/'
indir = os.path.realpath(indir)
jf = JournalFiles(indir=indir, infile=infile, outdir=outdir)
origdframe = pd.read_csv(jf.inpathfile)
originfile = jf.infile
tkt = Statement_DAS(jf)
newDF, jf = tkt.getTrades()
self.assertNotEqual(originfile, jf.infile)
newdframe = pd.read_csv(jf.inpathfile)
self.assertAlmostEqual(origdframe[rc.PL].sum(),
newdframe[rc.PL].sum(),
places=10)
self.assertAlmostEqual(newDF[rc.PL].sum(),
newdframe[rc.PL].sum(),
places=10)
for symbol in origdframe[rc.ticker].unique():
for accnt in origdframe[rc.acct].unique():
d = origdframe
n = newDF
d = d[d[rc.ticker] == symbol]
d = d[d[rc.acct] == accnt]
dbuy = d[d[rc.side].str.startswith('B')]
dsell = d[d[rc.side].str.startswith('S')]
n = n[n[rc.ticker] == symbol]
n = n[n[rc.acct] == accnt]
nbuy = n[n[rc.side].str.startswith('B')]
nsell = n[n[rc.side].str.startswith('S')]
self.assertEqual(dbuy[rc.shares].sum(),
nbuy[rc.shares].sum())
self.assertEqual(dsell[rc.shares].sum(),
nsell[rc.shares].sum())
def test_CreateSingleTicket(self):
'''
Test the method Statement_DAS.createSingleTicket. Requires the list of dfs created by
getListOfTicketDF. Explicitly test that each element is a 1 row DataFrame. That the new
price, (the average price of its transactions) is always greater than the min and less
than the max. And finally check that the total number of shares (total) is the same as
the sum of shares in constituent transactions.
'''
rc = ReqCol()
indir = 'data/'
outdir = 'out/'
infiles = self.infiles
for infile in infiles:
jf = JournalFiles(indir=indir, infile=infile, outdir=outdir)
tkt = Statement_DAS(jf)
listTick = tkt.getListOfTicketDF()
totalSharesForDay = 0
for tick in listTick:
singleTicket = tkt.createSingleTicket(tick)
self.assertIsInstance(singleTicket, type(pd.DataFrame()),
"Failed to create a DataFrame")
self.assertEqual(len(singleTicket), 1,
"Failed to create a single item ticket")
# print(tick[rc.price].min())
# print(singleTicket[rc.price].unique()[0])
# print(tick[rc.price].max())
# print()
try:
isclose(singleTicket[rc.price].unique()[0],
tick[rc.price].max(),
abs_tol=1e-8)
except AssertionError:
self.assertLessEqual(singleTicket[rc.price].unique()[0],
tick[rc.price].max())
try:
isclose(singleTicket[rc.price].unique()[0],
tick[rc.price].min(),
abs_tol=1e-8)
except AssertionError:
self.assertGreaterEqual(singleTicket[rc.price].unique()[0],
tick[rc.price].min())
totalSharesForDay = totalSharesForDay + tick[rc.shares].sum()
dframe = pd.read_csv(jf.inpathfile)
self.assertEqual(
dframe[rc.shares].sum(), totalSharesForDay,
"Failed to acount for all the shares transacted.")
def getPositions(self, jf):
'''
Open the positions csv. It is either a DAS export or a file created to the same specs.
Currently, this file is only used when using a DAS export from the trades window and is
only necessary if any trades in the input file have balance trades before or after.
:params jf: The JournalFiles object. It may be None and the variable for the location at
jf.inpathfile2 may also be None.
:return: A DataFrame. If no results were retrieved, return an empty DataFrame.
:TODO: getPositions should be a virtual method--not sure how to implement it best
This aint java. For now just kludge solidly.
'''
if jf and jf.inputType == JournalFiles.inputType[
'das'] and jf.inpathfile2:
st = Statement_DAS(jf)
df = st.getPositions()
return df
elif jf and jf.inputType == JournalFiles.inputType['ib']:
st = Statement_IBActivity(jf)
df = st.getPositions()
return df
return pd.DataFrame()
def test_GetListOfTicketDF(self):
'''
Test the method Statement_DAS.getListOfTicketDF.
Explicitly tests: Each ticket has only long or short only
Each ticket has a single ticker symbol, cloid, and account
'''
rc = ReqCol()
outdir = 'data/'
# A list of files that were problematic
infiles = self.infiles
# otherinfiles = ['trades.911.noPL.csv', 'trades.csv']
for f in infiles:
# trade = os.path.join(outdir, f)
jf = JournalFiles(indir=outdir,
infile=f,
outdir='out/',
mydevel=True)
tkt = Statement_DAS(jf)
tktList = tkt.getListOfTicketDF()
totalTX = 0
for ticket in tktList:
self.assertEqual(
len(ticket[rc.side].unique()), 1,
"There can only be one side, long or short, in a ticket")
self.assertEqual(len(ticket[rc.ticker].unique()), 1,
"There can only be one ticker in a ticket")
self.assertEqual(len(ticket['Cloid'].unique()), 1,
"There can be only one Cloid in a ticket")
self.assertEqual(len(ticket[rc.acct].unique()), 1,
"There can be only one account in a ticket")
totalTX = totalTX + len(ticket)
trades = pd.read_csv(jf.inpathfile)
msg = "There is a discrepancy in number of transactions in the tickets"
self.assertEqual(len(trades), totalTX, msg)
def runnit(self):
print('gonna runnit gonna runnit')
self.initialize()
if not self.indir:
print('What file is supposed to load?')
return
jf = JournalFiles(indir=self.indir, outdir=self.outdir,
theDate=self.theDate, infile=self.infile,
inputType = self.inputtype, infile2=self.positions,
mydevel=True)
if self.inputtype == 'IB_HTML':
jf.inputType = 'IB_HTML'
statement = Statement_IBActivity(jf)
df = statement.getTrades_IBActivity(jf.inpathfile)
elif self.inputtype == 'DAS':
tkt = Ticket(jf)
df, jf = tkt.getTrades()
# trades = pd.read_csv(jf.inpathfile)
else:
#Temporary
print('Opening a non standard file name in DAS')
tkt = Ticket(jf)
df, jf = tkt.getTrades()
idf = InputDataFrame()
trades, success = idf.processInputFile(df, jf.theDate, jf)
if not success:
return
tu = DefineTrades(self.inputtype)
inputlen, dframe, ldf = tu.processOutputDframe(trades)
# Process the openpyxl excel object using the output file DataFrame. Insert
# images and Trade Summaries.
margin = 25
lf = LayoutForms(self.sc, jf, dframe)
tradeSummaries = lf.runSummaries(ldf)
def test_createImageLocation(self, unusedstub):
'''Run structjour'''
#Assert the initial entry location in imageLocation is figured by these factors
# Assert all entries are figured by summarySize and len of the minittrade
# Assert the minitable locations are offset by length of the minitrade tables +
# ls.spacing, and the first entry in the Leftmost column starts with 'Trade'
# Assert third entry of imageLocation begins with 'Trade' and contains
# ['Long', 'Short']
# Assert the 4th entry is a timestamp
# Assert the 5th entry is a time delta
global D
for tdata, infile in zip(self.dadata, self.infiles):
# ::::::::: Setup ::::::::
D = deque(tdata)
# infile = 'trades.8.csv'
print(infile)
indir = 'data/'
mydevel = False
jf = JournalFiles(indir=indir, infile=infile, mydevel=mydevel)
trades, jf = Statement_DAS(jf).getTrades()
trades, success = InputDataFrame().processInputFile(trades)
inputlen, dframe, ldf = DefineTrades().processOutputDframe(trades)
# ::::::::::: end setup :::::::::::::
margin = 25
spacing = 3
ls = LayoutSheet(margin, inputlen, spacing=spacing)
imageLocation, dframe = ls.imageData(dframe, ldf)
for count, t in enumerate(imageLocation):
if count == 0:
initialEntry = ls.inputlen + ls.topMargin + ls.spacing + len(ldf[0]) + 2
self.assertEqual(t[0], initialEntry)
else:
nextloc = imageLocation[count-1][0] + len(ldf[count]) + ls.summarySize
self.assertEqual(t[0], nextloc)
t_entry = t[0] - (spacing + len(ldf[count]))
self.assertTrue(dframe.iloc[t_entry][0].startswith('Trade'))
self.assertEqual(len(dframe.iloc[t_entry-1][0]), 0)
self.assertTrue(t[2].startswith('Trade'))
self.assertTrue(t[2].find('Long') > 0 or t[2].find('Short') > 0)
self.assertTrue(isinstance(pd.Timestamp('2019-11-11 ' + t[3]), dt.datetime))
self.assertTrue(isinstance(t[4], dt.timedelta))
def test_runSummaries(self, unusedstub1, unusedstub2, unusedstub3):
'''
Test the method prunSummaries. The setup here is alost the entire module trade.py
We run the standard set of infiles
'''
# global D
# infiles = ['trades.1116_messedUpTradeSummary10.csv', 'trades.8.WithHolds.csv',
# 'trades.8.csv', 'trades.907.WithChangingHolds.csv',
# 'trades_190117_HoldError.csv', 'trades.8.ExcelEdited.csv',
# 'trades.910.tickets.csv', 'trades_tuesday_1121_DivBy0_bug.csv',
# 'trades.8.WithBothHolds.csv', 'trades1105HoldShortEnd.csv',
# 'trades190221.BHoldPreExit.csv']
global D
for tdata, infile in zip(self.dadata, self.infiles):
# ::::::::: Setup ::::::::
D = deque(tdata)
# :::::::::::::: SETUP ::::::::::::::
# theDate = '2018-11-05'
outdir = 'out/'
indir = 'C:/python/E/structjour/src/data/'
mydevel = False
jf = JournalFiles(infile=infile, outdir=outdir, indir=indir, mydevel=mydevel)
trades, jf = Statement_DAS(jf).getTrades()
trades, success = InputDataFrame().processInputFile(trades)
inputlen, dframe, ldf = DefineTrades().processOutputDframe(trades)
# Process the openpyxl excel object using the output file DataFrame. Insert
# images and Trade Summaries.
margin = 25
# Create the space in dframe to add the summary information for each trade.
# Then create the Workbook.
ls = LayoutSheet(margin, inputlen)
imageLocation, dframe = ls.imageData(dframe, ldf)
wb, ws, dummy = ls.createWorkbook(dframe)
tf = TradeFormat(wb)
mstkAnchor = (len(dframe.columns) + 2, 1)
mistake = MistakeSummary(numTrades=len(ldf), anchor=mstkAnchor)
mistake.mstkSumStyle(ws, tf, mstkAnchor)
# :::::::::::::: END SETUP ::::::::::::::
tradeSummaries = ls.runSummaries(imageLocation, ldf, jf, ws, tf)
# Make sure the out dir exists
if not os.path.exists("out/"):
os.mkdir("out/")
# Make sure the file we are about to create does not exist
dispath = "out/SCHNOrK.xlsx"
if os.path.exists(dispath):
os.remove(dispath)
wb.save(dispath)
wb2 = load_workbook(dispath)
ws2 = wb2.active
srf = SumReqFields()
for trade, loc in zip(tradeSummaries, imageLocation):
anchor = (1, loc[0])
# print(anchor)
for col in trade:
if col in['clean']:
continue
# Get the cell
if isinstance(srf.tfcolumns[col][0], list):
cell = tcell(srf.tfcolumns[col][0][0], anchor=anchor)
else:
cell = tcell(srf.tfcolumns[col][0], anchor=anchor)
# Nicer to read
wsval = ws2[cell].value
tval = trade[col].unique()[0]
# Test Formulas (mostly skipping for now because its gnarly)
# Formulas in srf.tfformulas including the translation stuff
if col in srf.tfformulas.keys():
self.assertTrue(wsval.startswith('='))
# Test empty cells
elif not tval:
# print(wsval, '<------->', tval)
self.assertIs(wsval, None)
# Test floats
elif isinstance(tval, float):
# print(wsval, '<------->', tval)
self.assertAlmostEqual(wsval, tval)
# Time vals
elif isinstance(tval, (pd.Timestamp, dt.datetime, np.datetime64)):
wsval = pd.Timestamp(wsval)
tval = pd.Timestamp(tval)
self.assertGreaterEqual((wsval-tval).total_seconds(), -.01)
self.assertLessEqual((wsval-tval).total_seconds(), .01)
# Test everything else
else:
# print(wsval, '<------->', tval)
self.assertEqual(wsval, tval)
def test_populateDailySummaryForm(self, unusedstub1, unusedstub2, unusedstub3):
'''
Test the method populateMistakeForm. The setup here is alost the entire module trade.py
The tested method puts in the trade PL and notes
'''
global D
for tdata, infile in zip(self.dadata, self.infiles):
# ::::::::: Setup ::::::::
D = deque(tdata)
# :::::::::::::: SETUP ::::::::::::::
# theDate = '2018-11-05'
outdir = 'out/'
indir = 'data/'
mydevel = False
jf = JournalFiles(infile=infile, outdir=outdir, indir=indir, mydevel=mydevel)
print(jf.inpathfile)
trades, jf = Statement_DAS(jf).getTrades()
trades, success = InputDataFrame().processInputFile(trades)
inputlen, dframe, ldf = DefineTrades().processOutputDframe(trades)
# Process the openpyxl excel object using the output file DataFrame. Insert
# images and Trade Summaries.
margin = 25
# Create the space in dframe to add the summary information for each trade.
# Then create the Workbook.
ls = LayoutSheet(margin, inputlen)
imageLocation, dframe = ls.imageData(dframe, ldf)
wb, ws, dummy = ls.createWorkbook(dframe)
tf = TradeFormat(wb)
mstkAnchor = (len(dframe.columns) + 2, 1)
mistake = MistakeSummary(numTrades=len(ldf), anchor=mstkAnchor)
# mistake.mstkSumStyle(ws, tf, mstkAnchor)
mistake.dailySumStyle(ws, tf, mstkAnchor)
tradeSummaries = ls.runSummaries(imageLocation, ldf, jf, ws, tf)
# :::::::::::::: END SETUP ::::::::::::::
# ls.populateMistakeForm(tradeSummaries, mistake, ws, imageLocation)
ls.populateDailySummaryForm(tradeSummaries, mistake, ws, mstkAnchor)
# Make sure the out dir exists
if not os.path.exists("out/"):
os.mkdir("out/")
# Make sure the file we are about to create does not exist
dispath = "out/SCHNOrK.xlsx"
if os.path.exists(dispath):
os.remove(dispath)
wb.save(dispath)
# print(infile, 'saved as', dispath)
wb2 = load_workbook(dispath)
ws2 = wb2.active
# Live Total
frc = FinReqCol()
livetot = 0
simtot = 0
highest = 0
lowest = 0
numwins = 0
numlosses = 0
totwins = 0
totloss = 0
for trade in tradeSummaries:
acct = trade[frc.acct].unique()[0]
pl = trade[frc.PL].unique()[0]
highest = pl if pl > highest else highest
lowest = pl if pl < lowest else lowest
if pl > 0:
numwins += 1
totwins += pl
# Trades == 0 are figured in the loss column-- comissions and all
else:
numlosses += 1
totloss += pl
if acct == 'Live':
livetot += pl
elif acct == 'SIM':
simtot += pl
# print(livetot)
# livetotcell = tcell(mistake.dailySummaryFields['livetot'][0], anchor=ls.DSFAnchor)
# print(simtot)
avgwin = 0 if numwins == 0 else totwins/numwins
avgloss = 0 if numlosses == 0 else totloss/numlosses
data = [['livetot', livetot], ['simtot', simtot], ['highest', highest],
['lowest', lowest], ['avgwin', avgwin], ['avgloss', avgloss]]
for s, d in data:
cell = tcell(mistake.dailySummaryFields[s][0], anchor=ls.DSFAnchor)
# msg = '{} {} {}'.format(s, d, ws2[cell].value)
# print(msg)
self.assertAlmostEqual(d, ws2[cell].value) #, abs_tol=1e-7)
data = ['livetotnote', 'simtotnote', 'highestnote', 'lowestnote',
'avgwinnote', 'avglossnote']
for s in data:
cell = tcell(mistake.dailySummaryFields[s][0][0], anchor=ls.DSFAnchor)
val = ws2[cell].value
self.assertIsInstance(val, str)
self.assertGreater(len(val), 1)
def test_populateMistakeForm(self, unusedstub1, unusedstub2, unusedstub3):
'''
Test the method populateMistakeForm. The setup here is alost the entire module trade.py
'''
global D
for tdata, infile in zip(self.dadata, self.infiles):
# ::::::::: Setup ::::::::
D = deque(tdata)
# :::::::::::::: SETUP ::::::::::::::
# theDate = '2018-11-05'
outdir = 'out/'
indir = 'data/'
mydevel = False
jf = JournalFiles(infile=infile, outdir=outdir, indir=indir, mydevel=mydevel)
trades, jf = Statement_DAS(jf).getTrades()
trades, success = InputDataFrame().processInputFile(trades)
inputlen, dframe, ldf = DefineTrades().processOutputDframe(trades)
# Process the openpyxl excel object using the output file DataFrame. Insert
# images and Trade Summaries.
margin = 25
# Create the space in dframe to add the summary information for each trade.
# Then create the Workbook.
ls = LayoutSheet(margin, inputlen)
imageLocation, dframe = ls.imageData(dframe, ldf)
wb, ws, dummy = ls.createWorkbook(dframe)
tf = TradeFormat(wb)
mstkAnchor = (len(dframe.columns) + 2, 1)
mistake = MistakeSummary(numTrades=len(ldf), anchor=mstkAnchor)
mistake.mstkSumStyle(ws, tf, mstkAnchor)
tradeSummaries = ls.runSummaries(imageLocation, ldf, jf, ws, tf)
# :::::::::::::: END SETUP ::::::::::::::
ls.populateMistakeForm(tradeSummaries, mistake, ws, imageLocation)
# Make sure the out dir exists
if not os.path.exists("out/"):
os.mkdir("out/")
# Make sure the file we are about to create does not exist
dispath = "out/SCHNOrK.xlsx"
if os.path.exists(dispath):
os.remove(dispath)
wb.save(dispath)
wb2 = load_workbook(dispath)
ws2 = wb2.active
frc = FinReqCol()
# ragged iteration over mistakeFields and tradeSummaries.
count = 0 # ragged iterator for tradeSummaries
for key in mistake.mistakeFields:
entry = mistake.mistakeFields[key]
cell = entry[0][0] if isinstance(entry[0], list) else entry[0]
cell = tcell(cell, anchor=mistake.anchor)
if key.startswith('name'):
# Get the hyperlink target in mistakeform , parse the target and verify the
# hyperlinks point to each other
tsName = tradeSummaries[count][frc.name].unique()[0]
tsAcct = tradeSummaries[count][frc.acct].unique()[0]
targetcell = ws2[cell].hyperlink.target.split('!')[1]
originalcell = ws2[targetcell].hyperlink.target.split('!')[1]
# print(ws2[cell].value, '<--------', tsumName)
# print(ws2[cell].value, '<-------', tsumAccount)
# print(cell, '<------->', originalcell)
self.assertGreater(ws2[cell].value.find(tsName), -1)
self.assertGreater(ws2[cell].value.find(tsAcct), -1)
self.assertEqual(cell, originalcell)
count = count + 1
# ::::::: tpl fields :::::::
count = 0
for key in mistake.mistakeFields:
entry = mistake.mistakeFields[key]
cell = entry[0][0] if isinstance(entry[0], list) else entry[0]
cell = tcell(cell, anchor=mistake.anchor)
if key.startswith('tpl'):
targetcell = ws2[cell].value[1:]
origval = tradeSummaries[count][frc.PL].unique()[0]
# print(ws2[targetcell].value, '<------->', origval )
if origval == 0:
self.assertIs(ws2[targetcell].value, None)
else:
self.assertAlmostEqual(ws2[targetcell].value, origval)
count = count + 1
# These next two tests (for plx and mistakex) have no unique entries (without user
# input or mock) Test for the static values and that plx entry is next to its header
if key.startswith('pl'):
headval = 'Proceeds Lost'
targetcell = ws2[cell].value[1:]
headercell = 'A' + targetcell[1:]
# print(ws2[targetcell].value, '<------->', None)
# print(headercell, '------->', ws2[headercell].value)
self.assertTrue(ws2[targetcell].value is None)
self.assertEqual(ws2[headercell].value, headval)
if key.startswith('mistake'):
noteval = 'Final note'
targetcell = ws2[cell].value[1:]
# print(ws2[targetcell].value, '<------->', noteval)
self.assertEqual(ws2[targetcell].value, noteval)
def run(infile='trades.csv',
outdir=None,
theDate=None,
indir=None,
infile2=None,
mydevel=True):
'''
Run structjour. Temporary picker for input type based on filename. If infile has 'activity' in
it and ends in .html, then its IB Activity Statement web page (as a file on this system)
:params infile: Name of the input file. Default trades.csv--a DAS export from the trades window.
If infile contains the string 'trades', input type is set to DAS.
If infile contains the string 'activity', input type is set to IB Activity.
Default will try DAS
:params outdir: Location to write the output file.
:params theDate: The date of this input file. If trades lack a Date, this date be the trade date.
:params indir: Location of the input file.
:parmas infile2: Name of the DAS positions file. Will default to indir/positions.csv
:params mydevel: If True, use a specific file structure and let structjour create it. All can
be overriden by using the specific parameters above.
'''
settings = QSettings('zero_substance', 'structjour')
settings.setValue('runType', 'CONSOLE')
# indir=None, outdir=None, theDate=None, infile='trades.csv', mydevel=False
jf = JournalFiles(indir=indir,
outdir=outdir,
theDate=theDate,
infile=infile,
infile2=infile2,
mydevel=mydevel)
name, ext = os.path.splitext(jf.infile.lower())
if name.find('activity') > -1 and ext == '.html':
jf.inputType = 'IB_HTML'
statement = Statement_IBActivity(jf)
df = statement.getTrades_IBActivity(jf.inpathfile)
elif name.find('trades') > -1 and ext == '.csv':
# This could be an IB CSV--so this is temporary-- when I enable some sort of IB CSV, will
# probably do some kind of class heirarchy here for statements.
tkt = Ticket(jf)
df, jf = tkt.getTrades()
# trades = pd.read_csv(jf.inpathfile)
else:
#Temporary
print('Opening a non standard file name in DAS')
tkt = Ticket(jf)
df, jf = tkt.getTrades()
idf = InputDataFrame()
trades, success = idf.processInputFile(df, jf.theDate, jf)
if not success:
print('Failed. Between you and me, I think its a programming error')
return jf
tu = DefineTrades()
inputlen, dframe, ldf = tu.processOutputDframe(trades)
# Process the openpyxl excel object using the output file DataFrame. Insert
# images and Trade Summaries.
margin = 25
# Create the space in dframe to add the summary information for each trade.
# Then create the Workbook.
ls = LayoutSheet(margin, inputlen)
imageLocation, dframe = ls.imageData(dframe, ldf)
wb, ws, nt = ls.createWorkbook(dframe)
tf = TradeFormat(wb)
ls.styleTop(ws, len(nt.columns), tf)
assert len(ldf) == len(imageLocation)
mstkAnchor = (len(dframe.columns) + 2, 1)
mistake = MistakeSummary(numTrades=len(ldf), anchor=mstkAnchor)
mistake.mstkSumStyle(ws, tf, mstkAnchor)
mistake.dailySumStyle(ws, tf, mstkAnchor)
tradeSummaries = ls.runSummaries(imageLocation, ldf, jf, ws, tf)
# app = QApplication(sys.argv)
# qtf = QtForm()
# qtf.fillForm(tradeSummaries[1])
# app.exec_()
ls.populateMistakeForm(tradeSummaries, mistake, ws, imageLocation)
ls.populateDailySummaryForm(tradeSummaries, mistake, ws, mstkAnchor)
ls.save(wb, jf)
print("Processing complete. Saved {}".format(jf.outpathfile))
return jf