Initial project version

pygrace/_load_stuff.py

@@ -0,0 +1,114 @@
+from __future__ import print_function
+import os.path
+import os
+import imp
+import sys
+import configparser as ConfigParser
+
+if os.name == 'nt':
+    path_to_log = os.path.expanduser('~\.auswerten')
+else:
+    path_to_log = os.path.expanduser('~/.auswerten')
+path_to_module = os.path.dirname(os.path.abspath(__file__))
+
+
+def reload_(filename):
+    (path, name) = os.path.split(filename)
+    (name, ext) = os.path.splitext(name)
+
+    try:
+        file, filename, data = imp.find_module(name, [path])
+    except ImportError:
+        print('No module {} found'.format(name))
+    try:
+        mod = imp.load_module(name, file, filename, data)
+        return mod
+    except UnboundLocalError:
+        pass
+    if file:
+        file.close()
+
+
+def import_(filename):
+    """
+    Tries to add random file to sys.modules. Insecure as fuck and predestined to break something
+    (it will overload other modules)
+    """
+    (path, name) = os.path.split(filename)
+    (name, ext) = os.path.splitext(name)
+    try:
+        return sys.modules[name]
+    except KeyError:
+        pass
+    try:
+        file, filename, data = imp.find_module(name, [path])
+    except ImportError:
+        print('No module {} found'.format(name))
+    try:
+        mod = imp.load_module(name, file, filename, data)
+        return mod
+    except UnboundLocalError:
+        pass
+    finally:
+        # Since we may exit via an exception, close fp explicitly.
+        try:
+            if file:
+                file.close()
+        except UnboundLocalError:
+            if not os.path.exists(path):
+                os.makedirs(path)
+            from shutil import copyfile
+            if os.name == 'nt':
+               copyfile(os.path.join(path_to_module, 'models\myfitmodels.py'), filename)
+            else:
+                copyfile(os.path.join(path_to_module, './models/myfitmodels.py'), filename)
+            # open(filename, 'a').close()
+
+user_model_path = os.path.join(path_to_log, 'myfitmodels.py')
+userfitmodels = import_(user_model_path)
+
+
+def read_grace_conf(mode):
+    __path_to_config = os.path.join(path_to_log, 'grace.conf')
+    config = ConfigParser.SafeConfigParser()
+    config.read(__path_to_config)
+
+    if config.has_section(mode):
+        width = config.getfloat(mode, 'width')
+        height = config.getfloat(mode, 'height')
+        bottom_m = config.getfloat(mode, 'bottom margin')
+        left_m = config.getfloat(mode, 'left margin')
+        top_m = config.getfloat(mode, 'top margin')
+        right_m = config.getfloat(mode, 'right margin')
+        title = config.getint(mode, 'title')
+        haxis_t = config.getint(mode, 'hor axis tick')
+        vaxis_t = config.getint(mode, 'ver axis tick')
+        haxis_l = config.getint(mode, 'hor axis label')
+        vaxis_l = config.getint(mode, 'ver axis label')
+        leg = config.getint(mode, 'legend')
+    else:
+        width = round(11 * 2.54, 2)
+        height = round(8.5 * 2.54, 2)
+        bottom_m = round(0.15 * 8.5 * 2.54, 2)
+        left_m = round(0.15 * 8.5 * 2.54, 2)
+        top_m = round(0.15 * 8.5 * 2.54, 2)
+        right_m = round((11 / 8.5 - 1.15) * 8.5 * 2.54, 2)
+        haxis_l = 100
+        haxis_t = 100
+        vaxis_l = 100
+        vaxis_t = 100
+        leg = 100
+        title = 100
+    if config.has_section('sizes'):
+        sym = config.getfloat('sizes', 'symbol')
+        line = config.getfloat('sizes', 'line')
+        f_line = config.getfloat('sizes', 'fit_line')
+    else:
+        sym = 10
+        line = 1
+        f_line = 1
+
+    return (width, height), (bottom_m, top_m, left_m, right_m), \
+           ((haxis_t, haxis_l), (vaxis_t, vaxis_l), title, leg), \
+           (sym, line, f_line)
+