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| 1 | + |
| 2 | + |
| 3 | +# how to do internationalization in python |
| 4 | +#import gettext |
| 5 | +#gettext.bindtextdomain('myapplication', '/path/to/my/language/directory') |
| 6 | +#gettext.textdomain('myapplication') |
| 7 | +#_ = gettext.gettext |
| 8 | + |
| 9 | +# dummy function for internationalization |
| 10 | +def N_(msg): |
| 11 | + return msg |
| 12 | + |
| 13 | + |
| 14 | +import xml.etree.ElementTree as ET |
| 15 | + |
| 16 | + |
| 17 | +import sw_app_utils |
| 18 | +import sw_core_utils |
| 19 | + |
| 20 | +import gnc_html_scatter |
| 21 | + |
| 22 | +import gnc_html_document |
| 23 | + |
| 24 | + |
| 25 | +# this is an attempt at replicating the Price Scatter scheme report |
| 26 | + |
| 27 | +from report_objects import ReportTemplate |
| 28 | + |
| 29 | +# maybe store the class in ReportTemplate then dont need this import |
| 30 | +# yes we need a better way to handle this so dont need all these includes |
| 31 | +from report_objects import OptionsDB |
| 32 | +#from report_options import BooleanOption |
| 33 | +#from report_options import MultiChoiceOption |
| 34 | +# lets try importing all |
| 35 | +from report_options import * |
| 36 | + |
| 37 | +class MultiPriceScatter(ReportTemplate): |
| 38 | + |
| 39 | + def __init__ (self): |
| 40 | + |
| 41 | + # need to set the base variables |
| 42 | + self.version = 1 |
| 43 | + self.name = N_("MultiPrice") |
| 44 | + self.report_guid = "0C5629B16E374EE8A490213ABD8B6E86" |
| 45 | + self.menu_name = N_("Multi Price Scatterplot") |
| 46 | + # we have to define the tip |
| 47 | + self.menu_tip = N_("Multi Price Scatterplot") |
| 48 | + self.menu_path = N_("_Assets & Liabilities") |
| 49 | + |
| 50 | + # we cant do this because at the moment this object is a ReportTemplate |
| 51 | + # which is only instantiated once - different reports instantiate the Report |
| 52 | + # class multiple times but using the same ReportTemplate instance - the Report |
| 53 | + # class contains the specific options and call this ReportTemplate options_generator |
| 54 | + # and render functions |
| 55 | + #self.stocks = [] |
| 56 | + #self.markers = [] |
| 57 | + #self.markercolors = [] |
| 58 | + |
| 59 | + |
| 60 | + def options_generator (self): |
| 61 | + |
| 62 | + # need to instantiate the options database |
| 63 | + self.options = OptionsDB() |
| 64 | + |
| 65 | + self.options.add_date_interval('General', N_("Start Date"), N_("End Date"), "a") |
| 66 | + |
| 67 | + self.options.add_interval_choice('General', N_("Step Size"), "b", 'MonthDelta') |
| 68 | + |
| 69 | + self.options.add_currency('Price', N_("Report's currency"), "d") |
| 70 | + |
| 71 | + self.options.register_option(CommodityOption('Price', N_("Price of Commodity"),"e", |
| 72 | + N_("Calculate the price of this commodity."), |
| 73 | + sw_core_utils.gnc_locale_default_iso_currency_code())) |
| 74 | + |
| 75 | + # should the list be a dict or not?? |
| 76 | + self.options.register_option(MultiChoiceOption('Price', N_("Price Source"),"f", |
| 77 | + N_("The source of price information."), |
| 78 | + 'actual-transactions', |
| 79 | + [ \ |
| 80 | + [ 'weighted-average', N_("Weighted Average."), N_("The weighted average of all currency transactions of the past.") ], |
| 81 | + [ 'actual-transactions', N_("Actual Transactions"), N_("The instantaneous price of actual currency transactions in the past.") ], |
| 82 | + [ 'pricedb', N_("Price Database"), N_("The recorded prices.") ], |
| 83 | + ])) |
| 84 | + |
| 85 | + self.options.register_option(SimpleBooleanOption('Price', N_("Invert prices"),"g", |
| 86 | + N_("Plot commodity per currency rather than currency per commodity."), False)) |
| 87 | + |
| 88 | + self.options.add_plot_size('Display', N_("Plot Width"), N_("Plot Height"), "c", 500, 400) |
| 89 | + |
| 90 | + self.options.add_marker_choice('Display', N_("Marker"), "a", 'filledsquare') |
| 91 | + |
| 92 | + self.options.register_option(ColorOption('Display', N_("Marker Color"), "b", N_("Color of the marker."), |
| 93 | + (0xb2, 0x22, 0x22, 0), 255, False)) |
| 94 | + |
| 95 | + |
| 96 | + # we need to set the default option section - the one selected |
| 97 | + # gnc:options-set-default-section options "General" |
| 98 | + |
| 99 | + return self.options |
| 100 | + |
| 101 | + |
| 102 | + def renderer (self, report): |
| 103 | + |
| 104 | + # this actually implements the report look |
| 105 | + |
| 106 | + #pdb.set_trace() |
| 107 | + |
| 108 | + # new idea - we store the plot data in the specific report object |
| 109 | + # - which fortunately we pass |
| 110 | + if report.report_data == None: |
| 111 | + class ReportData(object): |
| 112 | + pass |
| 113 | + report.report_data = ReportData() |
| 114 | + report.report_data.stocks = [] |
| 115 | + report.report_data.markers = [] |
| 116 | + report.report_data.markercolors = [] |
| 117 | + |
| 118 | + stocks = report.report_data.stocks |
| 119 | + markers = report.report_data.markers |
| 120 | + markercolors = report.report_data.markercolors |
| 121 | + |
| 122 | + # lots of stuff about getting option values |
| 123 | + |
| 124 | + # now for html creation |
| 125 | + # where do we actually instantiate the Html object |
| 126 | + |
| 127 | + # need to set a style |
| 128 | + # (gnc:html-document-set-style! |
| 129 | + # document "body" |
| 130 | + # 'attribute (list "bgcolor" (gnc:color-option->html bg-color-op)) |
| 131 | + # 'font-color (gnc:color-option->html txt-color-op)) |
| 132 | + |
| 133 | + #document = gnc_html_document_full.HtmlDocument() |
| 134 | + document = gnc_html_document.HtmlDocument() |
| 135 | + |
| 136 | + # this report does not set the title apparently deliberately |
| 137 | + #document.title = N_("Price Scatter") |
| 138 | + |
| 139 | + chart = gnc_html_scatter.HtmlMultiScatter() |
| 140 | + |
| 141 | + # Im seeing how this works in scheme report system |
| 142 | + # the scheme report system creates lists of entities to be added |
| 143 | + # now using one of the HTML/XML python modules to do this - why reinvent the wheel? |
| 144 | + # the only real issue is option replacement and links to |
| 145 | + # account pages |
| 146 | + |
| 147 | + # note that price-scatter.scm defines an option getting function |
| 148 | + # equivalent to the following python - we just split out the python |
| 149 | + #def get_option (section, name): |
| 150 | + # optobj = self.options.lookup_name(section, name) |
| 151 | + # return optobj.value() |
| 152 | + |
| 153 | + # the various plotting options |
| 154 | + |
| 155 | + #pdb.set_trace() |
| 156 | + |
| 157 | + optobj = self.options.lookup_name('General','Report name') |
| 158 | + chart.title = optobj.getter() |
| 159 | + |
| 160 | + optobj = self.options.lookup_name('Display','Plot Width') |
| 161 | + chart.width = optobj.getter() |
| 162 | + |
| 163 | + optobj = self.options.lookup_name('Display','Plot Height') |
| 164 | + chart.height = optobj.getter() |
| 165 | + |
| 166 | + optobj = self.options.lookup_name('General','Step Size') |
| 167 | + optstp = optobj.getter() |
| 168 | + mapinterval = { \ |
| 169 | + 'DayDelta' : N_("Days"), |
| 170 | + 'WeekDelta' : N_("Weeks"), |
| 171 | + 'TwoWeekDelta' : N_("Double-Weeks"), |
| 172 | + 'MonthDelta' : N_("Months"), |
| 173 | + 'YearDelta' : N_("Years"), |
| 174 | + } |
| 175 | + chart.x_axis_label = mapinterval[optstp] |
| 176 | + |
| 177 | + |
| 178 | + optobj = self.options.lookup_name('General','Start Date') |
| 179 | + strtdt = optobj.get_option_value() |
| 180 | + |
| 181 | + optobj = self.options.lookup_name('General','End Date') |
| 182 | + enddt = optobj.get_option_value() |
| 183 | + |
| 184 | + |
| 185 | + commod_table = sw_app_utils.get_current_commodities() |
| 186 | + |
| 187 | + cur = commod_table.lookup('CURRENCY', 'USD') |
| 188 | + |
| 189 | + optobj = self.options.lookup_name('Price','Price of Commodity') |
| 190 | + stock = optobj.getter() |
| 191 | + |
| 192 | + optobj = self.options.lookup_name('Price','Invert prices') |
| 193 | + optinv = optobj.getter() |
| 194 | + # disable this optinv option - dont really understand it |
| 195 | + #if optinv: |
| 196 | + # chart.y_axis_label = stock.get_mnemonic() |
| 197 | + #else: |
| 198 | + # chart.y_axis_label = cur.get_mnemonic() |
| 199 | + chart.y_axis_label = cur.get_mnemonic() |
| 200 | + |
| 201 | + |
| 202 | + optobj = self.options.lookup_name('Display','Marker') |
| 203 | + #chart.marker = optobj.get_option_value() |
| 204 | + marker = optobj.get_option_value() |
| 205 | + |
| 206 | + optobj = self.options.lookup_name('Display','Marker Color') |
| 207 | + optclr = optobj.getter() |
| 208 | + #chart.markercolor = "%2x%2x%2x"%(optclr[0],optclr[1],optclr[2]) |
| 209 | + markercolor = "%2x%2x%2x"%(optclr[0],optclr[1],optclr[2]) |
| 210 | + |
| 211 | + |
| 212 | + # update stock list if changed - otherwise assume plot options changing |
| 213 | + stock_updated = False |
| 214 | + if len(stocks) > 0 : |
| 215 | + |
| 216 | + pdb.set_trace() |
| 217 | + |
| 218 | + # ignore namespace for the moment?? |
| 219 | + if stocks[-1].get_namespace() != stock.get_namespace() or \ |
| 220 | + stocks[-1].get_mnemonic() != stock.get_mnemonic(): |
| 221 | + |
| 222 | + stocks.append(stock) |
| 223 | + markers.append(marker) |
| 224 | + markercolors.append(markercolor) |
| 225 | + stock_updated = True |
| 226 | + |
| 227 | + else: |
| 228 | + |
| 229 | + stocks.append(stock) |
| 230 | + markers.append(marker) |
| 231 | + markercolors.append(markercolor) |
| 232 | + stock_updated = True |
| 233 | + |
| 234 | + |
| 235 | + #chart.subtitle = "%s"%chart_sym + " - " + "%s to %s"%(strtdt.strftime("%m/%d/%Y"),enddt.strftime("%m/%d/%Y")) |
| 236 | + chart.subtitle = "%s to %s"%(strtdt.strftime("%m/%d/%Y"),enddt.strftime("%m/%d/%Y")) |
| 237 | + |
| 238 | + doplot = True |
| 239 | + |
| 240 | + if len(stocks) == 1: |
| 241 | + |
| 242 | + # this tests the same namespace and mnemonic same |
| 243 | + #if gnc_commodity_eqiv(stock,cur): |
| 244 | + if stocks[0].get_namespace() == cur.get_namespace() and \ |
| 245 | + stocks[0].get_mnemonic() == cur.get_mnemonic(): |
| 246 | + |
| 247 | + #docstr = "<h2>"+N_("Identical commodities")+"</h2>" |
| 248 | + #docstr += "<p>"+N_("Your selected commodity and the currency of the report \ |
| 249 | + #are identical. It doesn't make sense to show prices for identical \ |
| 250 | + #commodities.")+"</p>" |
| 251 | + #doclst = [docstr] |
| 252 | + docelm = ET.Element('div',attrib={'id' : 'scatter1'}) |
| 253 | + docobj = ET.SubElement(docelm,'h2') |
| 254 | + docobj.text = N_("Identical commodities") |
| 255 | + newelm = ET.SubElement(docelm,'p') |
| 256 | + newelm.text = N_("Your selected commodity and the currency of the report \ |
| 257 | +are identical. It doesn't make sense to show prices for identical \ |
| 258 | +commodities.") |
| 259 | + |
| 260 | + document.doc.docobj.append(docelm) |
| 261 | + |
| 262 | + # need to reset any stored data!! |
| 263 | + report.report_data.stocks = [] |
| 264 | + report.report_data.markers = [] |
| 265 | + report.report_data.markercolors = [] |
| 266 | + |
| 267 | + doplot = False |
| 268 | + |
| 269 | + if doplot: |
| 270 | + |
| 271 | + # this is junky emulation of the gnc:deltasym-to-delta scheme function |
| 272 | + # this just converts the deltas to seconds - so have a simple linear x time scale |
| 273 | + # gnc:deltasym-to-delta converts to actual date time structure - so should |
| 274 | + # probably use datetime here |
| 275 | + mapxscale = { \ |
| 276 | + 'DayDelta' : 86400.0, |
| 277 | + 'WeekDelta' : 604800.0, |
| 278 | + 'TwoWeekDelta' : 1209600.0, |
| 279 | + 'MonthDelta' : 2628000.0, |
| 280 | + 'YearDelta' : 31536000.0, |
| 281 | + } |
| 282 | + |
| 283 | + # |
| 284 | + book = sw_app_utils.get_current_book() |
| 285 | + prcdb = book.get_price_db() |
| 286 | + |
| 287 | + for istock,stock in enumerate(stocks): |
| 288 | + |
| 289 | + marker = markers[istock] |
| 290 | + markercolor = markercolors[istock] |
| 291 | + |
| 292 | + # disable this - dont really understand this option yet |
| 293 | + #if optinv: |
| 294 | + # chart_sym = cur.get_mnemonic() |
| 295 | + #else: |
| 296 | + # chart_sym = stock.get_mnemonic() |
| 297 | + chart_sym = stock.get_mnemonic() |
| 298 | + |
| 299 | + prclst = prcdb.get_prices(stock,cur) |
| 300 | + |
| 301 | + if len(prclst) <= 0: |
| 302 | + print("Warning: no prices for stock",chart_sym) |
| 303 | + chart.add_data([], marker, markercolor, label=chart_sym) |
| 304 | + continue |
| 305 | + |
| 306 | + #pdb.set_trace() |
| 307 | + |
| 308 | + prcordr = [] |
| 309 | + for prc in prclst: |
| 310 | + prcdt = prc.get_time64().date() |
| 311 | + if prcdt >= strtdt.date() and prcdt <= enddt.date(): |
| 312 | + prcordr.append((float(prcdt.strftime("%s")),prc)) |
| 313 | + prcordr.sort() |
| 314 | + |
| 315 | + datalst = [] |
| 316 | + |
| 317 | + if len(prcordr) > 0: |
| 318 | + |
| 319 | + prclst0 = prcordr[0][1] |
| 320 | + prcdt = prclst0.get_time64().date() |
| 321 | + prcdt0 = float(prcdt.strftime("%s")) |
| 322 | + |
| 323 | + for prctm,prc in prcordr: |
| 324 | + prcobj = prc.get_value() |
| 325 | + #rlprc = float(prcobj.num)/prcobj.denom |
| 326 | + rlprc = prcobj.to_double() |
| 327 | + |
| 328 | + # we need to convert the date to seconds |
| 329 | + cnvdt = (prctm-prcdt0)/mapxscale[optstp] |
| 330 | + |
| 331 | + #chart.add_datapoint((cnvdt,rlprc)) |
| 332 | + datalst.append((cnvdt,rlprc)) |
| 333 | + |
| 334 | + else: |
| 335 | + |
| 336 | + print("Warning: no prices for stock in date range",chart_sym) |
| 337 | + |
| 338 | + # for multi price scatter we add |
| 339 | + chart.add_data(datalst, marker, markercolor, label=chart_sym) |
| 340 | + |
| 341 | + pdb.set_trace() |
| 342 | + |
| 343 | + docelm = chart.render() |
| 344 | + |
| 345 | + #document.doc.docobj = docelm |
| 346 | + document.doc.docobj.append(docelm) |
| 347 | + |
| 348 | + stdelm = ET.Element('p') |
| 349 | + stdelm.text = "Start Date %s"%str(strtdt) |
| 350 | + docelm.append(stdelm) |
| 351 | + |
| 352 | + endelm = ET.Element('p') |
| 353 | + endelm.text = "End Date %s"%str(enddt) |
| 354 | + docelm.append(endelm) |
| 355 | + |
| 356 | + return document |
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