bin/xmet-sounding-plot

@@ -5,8 +5,8 @@ import cairo
 import shapely
 
 from xmet.db        import Database
-from xmet.sounding  import Sounding, SoundingParams
-from xmet.skew_t    import SkewTOptions, SkewTGraph, SkewTLegend
+from xmet.sounding  import Sounding
+from xmet.skew_t    import SkewTGraph, SkewTLegend
 from xmet.hodograph import Hodograph
 
 IMAGE_WIDTH  = 800
@@ -18,19 +18,6 @@ GRAPH_HEIGHT = 800 - 128
 def plot_skew_t(sounding: Sounding, output: str):
     print(f"Plotting Skew-T chart of {sounding.station} sounding at {sounding.timestamp_observed} to {output}")
 
-    opts = SkewTOptions()
-    opts.skew                    = 1.0
-    opts.draw_virtual_temp       = True
-    opts.draw_lcl                = True
-    opts.draw_lfc                = True
-    opts.draw_el                 = True
-    opts.draw_moist_adiabats     = True
-    opts.draw_cape_mixing_ratio  = True
-    opts.draw_cape_dry_adiabat   = True
-    opts.draw_cape_moist_adiabat = True
-
-    #params = SoundingParams.from_sounding(sounding)
-
     with cairo.SVGSurface(output, IMAGE_WIDTH, IMAGE_HEIGHT) as surface:
         cr = cairo.Context(surface)
 
@@ -38,7 +25,7 @@ def plot_skew_t(sounding: Sounding, output: str):
         cr.rectangle(0, 0, IMAGE_WIDTH, IMAGE_HEIGHT)
         cr.fill()
 
-        skew_t = SkewTGraph(GRAPH_WIDTH, GRAPH_HEIGHT, opts)
+        skew_t = SkewTGraph(GRAPH_WIDTH, GRAPH_HEIGHT)
         skew_t.draw(cr, 64, 64, sounding)
 
         cr.set_source_rgb(0, 0, 0)

bin/xmet-spc-render-file

@@ -3,7 +3,6 @@
 import argparse
 import cairo
 
-from xmet.db  import Database
 from xmet.spc import SPCOutlookParser, SPCOutlook, SPCOutlookMap
 
 ASSETS = {
@@ -21,8 +20,6 @@ ASSETS = {
 def render_categorical(conus: SPCOutlookMap,
                        outlook: SPCOutlook,
                        args):
-    db = Database.connect(args.db)
-
     assets = ASSETS['dark'] if args.dark else ASSETS['light']
 
     with cairo.SVGSurface(args.categorical, conus.width, conus.height) as surface:
@@ -30,7 +27,6 @@ def render_categorical(conus: SPCOutlookMap,
 
         conus.draw_base_map_from_file(cr, assets['map'])
         conus.draw_categories(cr, outlook)
-        conus.draw_cities(cr, db)
         conus.draw_logo(cr, assets['logo'])
 
         if args.dark:
@@ -43,8 +39,6 @@ def render_probabilistic(conus: SPCOutlookMap,
                          hazard: str,
                          path: str,
                          args):
-    db = Database.connect(args.db)
-
     assets = ASSETS['dark'] if args.dark else ASSETS['light']
 
     with cairo.SVGSurface(path, conus.width, conus.height) as surface:
@@ -52,18 +46,14 @@ def render_probabilistic(conus: SPCOutlookMap,
 
         conus.draw_base_map_from_file(cr, assets['map'])
         conus.draw_probabilities(cr, outlook, hazard.upper())
-        conus.draw_cities(cr, db)
         conus.draw_logo(cr, assets['logo'])
 
         if args.dark:
             cr.set_source_rgb(1, 1, 1)
 
-        hazard = ' '.join(map(lambda p: p.lower().capitalize(), hazard.split(' ')))
-
-        conus.draw_annotation(cr, f"Day {outlook.day} Probabilistic {hazard} Risk")
+        conus.draw_annotation(cr, f"Day {outlook.day} Probabilistic {hazard.lower().capitalize()} Risk")
 
 argparser = argparse.ArgumentParser(description='Render graphical SPC outlooks from text file')
-argparser.add_argument('db',                          help='Spatialite database file')
 argparser.add_argument('--dark', action='store_true', help='Output dark mode graphics')
 argparser.add_argument('--categorical', type=str, help='Output categorical risk graphic file')
 argparser.add_argument('--any-severe',  type=str, help='Output probabilistic severe risk graphic file')