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@@ -11,21 +11,54 @@ from tkinter import ttk
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from tkinter import filedialog as fd
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import matplotlib.pyplot as plt
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+from matplotlib.patches import FancyArrowPatch, ArrowStyle
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import matplotlib.animation as animation
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from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
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+import numpy as np
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+import pandas as pd
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+
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+import dataclasses
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import xml.etree.ElementTree as ET
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+
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+def is_float(val):
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+ try:
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+ float(val)
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+ except ValueError:
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+ return False
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+ else:
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+ return True
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+
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+
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class Window:
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def __init__(self):
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self.root = tk.Tk()
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- self.filename = fd.askopenfilename(parent=self.root, title="Open an XML trace file",
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- initialdir="/", filetypes=[("XML files", "*.xml")])
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- if not self.filename:
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- self.root.quit()
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+ # self.filename = fd.askopenfilename(parent=self.root, title="Open an XML trace file",
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+ # initialdir=r"C:\Users\randy\AppData\Roaming\JetBrains\PyCharm2023.3\scratches",
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+ # filetypes=[("XML files", "*.xml")])
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+ # if not self.filename:
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+ # self.root.quit()
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+
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+ self.filename = r"C:\Users\randy\AppData\Roaming\JetBrains\PyCharm2023.3\scratches\test.xml"
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+
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+ self.time = 0.0
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+ self.active_model = ""
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+ self.active_state = ""
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+
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+ # load in the model
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+ self.trace_state = pd.DataFrame(columns=['time', 'model', 'kind', 'path', 'value'])
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+ self.parse_trace_file()
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+
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+ self.make_gui()
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+ self._build_tree(pd.unique(self.trace_state["model"]), self.mtree)
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+
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+ self.update()
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+ self.root.mainloop()
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- self.root.title("DEVS Plotting Environment - %s" % self.filename)
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+ def make_gui(self):
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+ self.root.title("DEVS XML Plotting Environment - %s" % self.filename)
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self.frame = ttk.Frame(self.root, padding=10)
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self.frame.pack(fill=tk.BOTH, expand=True)
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@@ -38,7 +71,6 @@ class Window:
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self.trees = ttk.Frame(self.container)
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self.trees.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
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- self.time = 0.0
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self.button_first = ttk.Button(self.toolbar, text="<<", command=self.to_first)
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self.button_first.pack(side=tk.LEFT)
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self.button_prev = ttk.Button(self.toolbar, text="<", command=self.to_prev)
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@@ -66,13 +98,8 @@ class Window:
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self.stree.pack_forget()
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self.stree.bind("<<TreeviewSelect>>", self.select_in_stree)
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- # load in the model
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- self.trace = {}
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- self.parse_trace_file()
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- self._build_model_mtree()
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-
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self.figure = plt.figure(dpi=100)
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- # self.figure.tight_layout()
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+ self.figure.tight_layout()
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self.axis = self.figure.add_subplot(111)
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self.axis.set_xlabel("time")
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self.axis.set_ylim((0, 1))
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@@ -80,142 +107,172 @@ class Window:
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self.canvas.draw()
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self.canvas.get_tk_widget().pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
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self.__cursor, = self.axis.plot([0, 0], [0, 0], '--', c='b', alpha=0.7)
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- self.__line, = self.axis.plot([], [], c='r')
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- self.__dots, = self.axis.plot([], [], 'o', c='g')
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+ self.__line, = self.axis.plot([], [], '-o', c='g', mec='r', fillstyle='none')
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+ self.__idots, = self.axis.plot([], [], 'o', c='g')
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+ self.__edots, = self.axis.plot([], [], 'o', c='r')
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+ self.__arrows = []
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self.__ani = animation.FuncAnimation(self.figure, lambda _: self.update(), interval=100)
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- self.active_model = ""
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- self.active_state = ""
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-
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self.output = tk.Text(self.frame, height=7)
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self.output.pack(side=tk.BOTTOM, fill=tk.X, expand=True)
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self.output.pack_forget()
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- self.root.mainloop()
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-
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def to_first(self):
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if self.active_model != "" and self.active_state != "":
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- self.time = 0
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+ self.time = 0.0
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def to_prev(self):
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if self.active_model != "" and self.active_state != "":
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- for ev in reversed(self.trace[self.active_model]):
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- if ev["time"] < self.time:
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- self.time = ev["time"]
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- break
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+ event_list = self.trace_state[(self.trace_state["model"] == self.active_model) &
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+ (self.trace_state["path"] == self.active_state)]
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+ earlier = event_list[event_list["time"] < self.time]
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+ if len(earlier) > 0:
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+ self.time = earlier.iloc[-1]["time"]
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def to_next(self):
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if self.active_model != "" and self.active_state != "":
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- for ev in self.trace[self.active_model]:
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- if ev["time"] > self.time:
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- self.time = ev["time"]
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- break
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+ event_list = self.trace_state[(self.trace_state["model"] == self.active_model) &
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+ (self.trace_state["path"] == self.active_state)]
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+ later = event_list[event_list["time"] > self.time]
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+ if len(later) > 0:
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+ self.time = later.iloc[0]["time"]
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def to_last(self):
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if self.active_model != "" and self.active_state != "":
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- self.time = self.trace[self.active_model][-1]["time"]
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+ event_list = self.trace_state[(self.trace_state["model"] == self.active_model) &
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+ (self.trace_state["path"] == self.active_state)]
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+ if len(event_list) > 0:
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+ self.time = event_list.iloc[-1]["time"]
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def get_window(self):
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return int(self.window_size.get())
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+ def _flatten_dict(self, data):
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+ res = {}
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+ for k, v in data.items():
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+ if isinstance(v, dict):
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+ dct = self._flatten_dict(v)
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+ for kk, vv in dct.items():
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+ res[k + "." + kk] = vv
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+ else:
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+ res[k] = v
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+ return res
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+
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def parse_trace_file(self):
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tree = ET.parse(self.filename)
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root = tree.getroot()
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for item in root.findall('event'):
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model = item.find("model").text
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- data = {}
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- data["time"] = float(item.find("time").text)
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- data["kind"] = item.find("kind").text
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- data["state"] = self._parse_attributes(item.find("state"))
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- if data["kind"] == "IN":
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- port = item.find("port")
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- data["port"] = {
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- "name": port.get("name"),
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- "category": port.get("category"), # I or O (in or out)
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- "message": port.find("message").text
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- }
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-
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- self.trace.setdefault(model, []).append(data)
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+ attrs = self._flatten_dict(self._parse_attributes(item.find("state")))
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+ time = float(item.find("time").text)
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+ kind = item.find("kind").text
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+
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+ rows = []
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+ for key, v in attrs.items():
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+ rows.append([time, model, kind, key, v])
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+ self.trace_state = pd.concat([self.trace_state, pd.DataFrame(rows, columns=self.trace_state.columns)],
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+ ignore_index=True)
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+ self.trace_state = self.trace_state.sort_values(by="time")
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def _parse_attributes(self, node):
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res = {}
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for attr in node.findall('attribute'):
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name = attr.find("name").text
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valueN = attr.find("value")
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+ typ = attr.find("type").text
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if len(valueN.findall("attribute")) > 0:
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res[name] = self._parse_attributes(valueN)
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else:
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- res[name] = valueN.text
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+ if attr.attrib["category"] == "P":
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+ if typ == "Integer":
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+ res[name] = int(valueN.text)
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+ elif typ == "Float":
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+ res[name] = float(valueN.text)
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+ elif typ == "Boolean":
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+ res[name] = valueN.text == "True"
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+ else: # String
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+ res[name] = valueN.text
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+ else:
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+ res[name] = valueN.text
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return res
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- def _build_model_mtree(self):
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+ def _build_tree(self, paths, tree):
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ix = 0
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tree_ids = {}
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- for model in self.trace:
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+ for model in paths:
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lst = model.split(".")
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for mix in range(len(lst)):
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parent = ".".join(lst[:mix])
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path = ".".join(lst[:mix + 1])
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if path not in tree_ids:
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- self.mtree.insert(tree_ids.get(parent, ''), tk.END, ix, text=lst[mix], open=True, values=[path])
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+ tree.insert(tree_ids.get(parent, ''), tk.END, ix, text=lst[mix], open=True, values=[path])
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tree_ids[path] = ix
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ix += 1
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- def _build_model_stree(self, model):
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- self.stree.pack(side=tk.BOTTOM, fill=tk.BOTH, expand=True)
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- if len(self.stree.get_children()) > 0:
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- self.stree.delete(self.stree.get_children())
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- event_list = self.trace[model]
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- state = {}
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- for evt in event_list:
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- state.update(evt["state"])
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- self._build_stree(state)
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-
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- def _build_stree(self, state, pid='', parent=""):
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- uid = pid
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- if pid == '':
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- uid = 0
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- uid += 1
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- for s, v in state.items():
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- path = s
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- if parent != "":
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- path = parent + "." + path
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- self.stree.insert(pid, tk.END, uid, text=s, open=True, values=[path])
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- if isinstance(v, dict):
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- self._build_stree(v, uid, path)
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- uid += len(v)
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- else:
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- uid += 1
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-
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def update(self):
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if self.active_model != "" and self.active_state != "":
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self.create_plot_for_active_model_state()
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self.output.pack(side=tk.BOTTOM, fill=tk.BOTH, expand=True)
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self.output.delete("1.0", tk.END)
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- tam = self.trace[self.active_model]
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- for ix, ev in enumerate(tam):
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- if ev["time"] == self.time:
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- state = ev["state"]
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- for p in self.active_state.split("."):
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- state = state[p]
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- self.output.insert(tk.END, "TIME: %.4f\nSTATE: %s\n" % (self.time, str(state)))
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- if ev["kind"] == "IN":
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- self.output.insert(tk.END, 'Internal Transition:\n Port: %s\n Output: %s\n Time Next: %.4f' %
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- (ev["port"]["name"], ev["port"]["message"], tam[ix + 1]["time"] if ix + 1 < len(tam) else "N/A"))
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- else:
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- self.output.insert(tk.END, 'External Transition')
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- break
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+ event_list = self.trace_state[(self.trace_state["model"] == self.active_model) &
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+ (self.trace_state["path"] == self.active_state) &
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+ (self.trace_state["time"] == self.time)]
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+ next_evts = self.trace_state[(self.trace_state["model"] == self.active_model) &
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+ (self.trace_state["path"] == self.active_state) &
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+ (self.trace_state["time"] > self.time)]
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+ if len(next_evts) > 0:
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+ next_time = next_evts.iloc[0]["time"]
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+ else:
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+ next_time = "N/A"
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+
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+ for eidx, event in event_list.iterrows():
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+ self.output.insert(tk.END, "TIME: %.4f\nSTATE: %s\n" % (self.time, str(event["value"])))
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+ if event["kind"] == "IN":
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+ self.output.insert(tk.END, 'Internal Transition:\n')
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+ # self.output.insert(tk.END, " Port: %s\n" % )
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+ self.output.insert(tk.END, " Time Next: %s" % next_time)
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+ elif event["kind"] == "EX":
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+ self.output.insert(tk.END, 'External Transition')
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+ else:
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+ self.output.insert(tk.END, 'Undefined Transition')
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+
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+ # tam = self.trace[self.active_model]
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+ # for ix, ev in enumerate(tam):
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+ # if ev["time"] == self.time:
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+ # state = ev["state"]
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+ # for p in self.active_state.split("."):
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+ # state = state[p]
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+ # self.output.insert(tk.END, "TIME: %.4f\nSTATE: %s\n" % (self.time, str(state)))
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+ # if ev["kind"] == "IN":
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+ # self.output.insert(tk.END, 'Internal Transition:\n Port: %s\n Output: %s\n Time Next: %.4f' %
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+ # (ev["port"]["name"], ev["port"]["message"], tam[ix + 1]["time"] if ix + 1 < len(tam) else "N/A"))
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+ # elif ev["kind"] == "EX":
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+ # if "port" in ev:
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+ # self.output.insert(tk.END,
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+ # 'External Transition:\n Port: %s\n Input: %s\n Time Next: %.4f' %
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+ # (ev["port"]["name"], ev["port"]["message"],
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+ # tam[ix + 1]["time"] if ix + 1 < len(tam) else "N/A"))
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+ # else:
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+ # self.output.insert(tk.END, 'External Transition')
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+ # else:
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+ # self.output.insert(tk.END, 'Undefined Transition')
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+ # break
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else:
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self.clear_plot()
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def select_in_mtree(self, event):
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+ self.clear_plot()
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tree = event.widget
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selection = [tree.item(item)["values"][0] for item in tree.selection() if len(tree.get_children(item)) == 0]
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if len(selection) == 1:
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self.active_model = selection[0]
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- self._build_model_stree(self.active_model)
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+ self.stree.pack(side=tk.BOTTOM, fill=tk.BOTH, expand=True)
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+ if len(self.stree.get_children()) > 0:
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+ self.stree.delete(self.stree.get_children())
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+ self._build_tree(pd.unique(self.trace_state[self.trace_state["model"] == self.active_model]["path"]),
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+ self.stree)
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else:
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self.active_model = ""
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self.stree.pack_forget()
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@@ -225,11 +282,28 @@ class Window:
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tree = event.widget
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selection = [tree.item(item)["values"][0] for item in tree.selection() if len(tree.get_children(item)) == 0]
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if len(selection) == 1:
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+ self.clear_plot()
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self.active_state = selection[0]
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+ def create_arrow(self, x, y, dx, dy):
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+ if dy < 0:
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+ style = "angle,angleA=45,angleB=-45,rad=15"
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+ elif dy > 0:
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+ style = "angle,angleA=-45,angleB=45,rad=15"
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+ else:
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+ style = "arc,angleA=135,angleB=45,armA=20,armB=20,rad=15"
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+ return FancyArrowPatch((x, y), (x + dx, y + dy),
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+ connectionstyle=style,
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+ shrinkA=1, shrinkB=1, zorder=10, color='black',
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+ arrowstyle=ArrowStyle.CurveFilledB(head_width=3, head_length=5))
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+
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def clear_plot(self):
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self.__line.set_data([], [])
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- self.__dots.set_data([], [])
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+ self.__idots.set_data([], [])
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+ self.__edots.set_data([], [])
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+ for a in self.__arrows:
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+ a.remove()
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+ self.__arrows.clear()
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self.axis.set_title("")
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self.axis.set_xlim((0, 1))
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self.axis.set_ylim((-0.5, 0.5))
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@@ -237,48 +311,78 @@ class Window:
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self.axis.set_yticklabels([])
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def create_plot_for_active_model_state(self):
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- event_list = self.trace[self.active_model]
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- path = self.active_state.split(".")
|
|
|
- in_times = []
|
|
|
- in_evts = []
|
|
|
- states = []
|
|
|
- for ev in event_list:
|
|
|
- state = ev["state"]
|
|
|
- for p in path:
|
|
|
- state = state[p]
|
|
|
- states.append(state)
|
|
|
- if ev["kind"] == "IN":
|
|
|
- in_times.append(ev["time"])
|
|
|
- in_evts.append(state)
|
|
|
-
|
|
|
- state_sets = list(sorted(set(states)))
|
|
|
- times = [x["time"] for x in event_list]
|
|
|
- values = [state_sets.index(x) for x in states]
|
|
|
-
|
|
|
- ts, vs = [], []
|
|
|
- for time in times:
|
|
|
- ts.append(time)
|
|
|
- ts.append(time)
|
|
|
- for val in values:
|
|
|
- vs.append(val)
|
|
|
- vs.append(val)
|
|
|
- ts.pop(0)
|
|
|
- vs.pop()
|
|
|
-
|
|
|
self.axis.set_title("%s: %s" % (self.active_model, self.active_state))
|
|
|
|
|
|
+ event_list = self.trace_state[(self.trace_state["model"] == self.active_model) &
|
|
|
+ (self.trace_state["path"] == self.active_state)]
|
|
|
+
|
|
|
mid = self.time
|
|
|
ws = self.get_window()
|
|
|
- lower = max(times[0], mid - ws/2)
|
|
|
+ lower = max(mid - ws / 2, 0.0)
|
|
|
upper = lower + ws
|
|
|
+
|
|
|
+ event_list_lowest = lower
|
|
|
+ event_list_lower = event_list[event_list["time"] < lower]
|
|
|
+ if len(event_list_lower) > 0:
|
|
|
+ event_list_lowest = event_list_lower.iloc[-1]["time"]
|
|
|
+ event_list_highest = upper
|
|
|
+ event_list_upper = event_list[event_list["time"] > upper]
|
|
|
+ if len(event_list_upper) > 0:
|
|
|
+ event_list_highest = event_list_upper.iloc[0]["time"]
|
|
|
+ event_list = event_list[event_list["time"].between(event_list_lowest, event_list_highest)]
|
|
|
+
|
|
|
+ times = event_list["time"]
|
|
|
+ lower = max(times.min(), lower)
|
|
|
+ upper = min(times.max(), upper)
|
|
|
+
|
|
|
+ in_times = event_list[event_list["kind"] == "IN"]["time"].to_numpy()
|
|
|
+ in_evts = event_list[event_list["kind"] == "IN"]["value"].to_numpy()
|
|
|
+ out_times = event_list[event_list["kind"] == "EX"]["time"].to_numpy()
|
|
|
+ out_evts = event_list[event_list["kind"] == "EX"]["value"].to_numpy()
|
|
|
+
|
|
|
+ ts = times.repeat(3).iloc[2:-2].to_numpy()
|
|
|
+ vs = event_list["value"].iloc[:-1].repeat(2).to_numpy()
|
|
|
+ vs = np.insert(vs, [x for x in range(2, len(vs), 2)], np.nan)
|
|
|
+ times = times.to_numpy()
|
|
|
+ state_sets = np.sort(event_list["value"].unique(), kind='mergesort')
|
|
|
+ min_ = np.nanmin(vs)
|
|
|
+ max_ = np.nanmax(vs)
|
|
|
+
|
|
|
+ if len(times) < 20:
|
|
|
+ self.axis.set_xticks(times)
|
|
|
+ else:
|
|
|
+ self.axis.set_xticks([times.min(), times.max()])
|
|
|
+ if len(state_sets) < 20:
|
|
|
+ if np.all(np.vectorize(is_float, otypes=[bool])(state_sets)):
|
|
|
+ self.axis.set_yticks(state_sets)
|
|
|
+ self.axis.set_yticklabels(state_sets)
|
|
|
+ else:
|
|
|
+ self.axis.set_yticks(range(len(state_sets)))
|
|
|
+ self.axis.set_yticklabels(state_sets)
|
|
|
+ else:
|
|
|
+ self.axis.set_yticks([min_, max_])
|
|
|
+ self.axis.set_yticklabels([min_, max_])
|
|
|
+
|
|
|
self.axis.set_xlim((lower, upper))
|
|
|
- self.axis.set_ylim((-0.5, len(state_sets) - 0.5))
|
|
|
- self.axis.set_yticks(range(len(state_sets)))
|
|
|
- self.axis.set_yticklabels(state_sets)
|
|
|
+ self.axis.set_ylim((min_ - 0.5, max_ + 0.5))
|
|
|
|
|
|
- self.__cursor.set_data([mid, mid], [-0.5, len(state_sets) - 0.5])
|
|
|
+ self.__cursor.set_data([mid, mid], [min_ - 0.5, max_ + 0.5])
|
|
|
self.__line.set_data(ts, vs)
|
|
|
- self.__dots.set_data(in_times, [state_sets.index(x) for x in in_evts])
|
|
|
+ self.__idots.set_data(in_times, in_evts)
|
|
|
+ self.__edots.set_data(out_times, out_evts)
|
|
|
+
|
|
|
+ for i in range(len(ts) // 3):
|
|
|
+ ix = i * 3 + 1
|
|
|
+ iy = (i + 1) * 3
|
|
|
+ if i >= len(self.__arrows):
|
|
|
+ arrow = self.create_arrow(ts[ix], vs[ix], 0, vs[iy] - vs[ix])
|
|
|
+ self.__arrows.append(arrow)
|
|
|
+ self.axis.add_patch(arrow)
|
|
|
+ else:
|
|
|
+ self.__arrows[i].set_positions((ts[ix], vs[ix]), (ts[iy], vs[iy]))
|
|
|
+
|
|
|
+ while len(self.__arrows) > (len(ts) // 3):
|
|
|
+ self.__arrows.pop().remove()
|
|
|
|
|
|
|
|
|
|