Source code for glucifer._glucifer

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##  This file forms part of the Underworld geophysics modelling application.         ##
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##  For full license and copyright information, please refer to the LICENSE.md file  ##
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import underworld as uw
import errno
import underworld._stgermain as _stgermain
import os
import urllib2
import time
import json
from base64 import b64encode
import libUnderworld
import subprocess
from subprocess import Popen, PIPE, STDOUT
from . import objects
import libUnderworld as _libUnderworld
import sys
import os

#Attempt to import lavavu module
lavavu = None
try:
    import libUnderworld.libUnderworldPy.lavavu as lavavu
    sys.path.append(os.path.dirname(lavavu.__file__))
except:
    print "LavaVu module not found! disabling inline visualisation"

# lets create somewhere to dump data for this session
try:
    tmpdir = os.environ['TMPDIR']
except:
    tmpdir = "/tmp"
os.path.join(tmpdir,"glucifer")
try:
    os.makedirs(tmpdir)
except OSError as exception:
    if exception.errno != errno.EEXIST:
        raise

[docs]class Store(_stgermain.StgCompoundComponent): """ The Store class provides a database which stores gLucifer drawing objects as they are rendered in figures. It also provides associated routines for saving and reloading this database to external files In addition to parameter specification below, see property docstrings for further information. Parameters ---------- filename: str Filename to use for a disk database, default is in memory only unless saved. split: bool Set to true to write a separate database file for each timestep visualised view: bool Set to true and pass filename if loading a saved database for revisualisation Example ------- Create a database: >>> import glucifer >>> store = glucifer.Store() Optionally provide a filename so you don't need to call save later (no extension) >>> store = glucifer.Store('myvis') Pass to figures when creating them (Providing a name allows you to revisualise the figure from the name) >>> fig = glucifer.Figure(store, name="myfigure") When figures are rendered with show() or save(imgname), they are saved to storage If you don't need to render an image but still want to store the figure to view later, just call save() without a filename >>> fig.save() Save the database (only necessary if no filename provided when created) >>> dbfile = store.save("myvis") """ _objectsDict = { "_db":"lucDatabase" } _selfObjectName = "_db" viewer = None def __init__(self, filename=None, split=False, view=False, **kwargs): self.step = 0 if filename and not filename.lower().endswith('.gldb') and not filename.lower().endswith('.db'): filename += ".gldb" self.filename = filename self._objects = [] self._viewonly = False #Don't split on timestep unless filename provided if not self.filename: split = False self._split = split #Open an existing db? if view and filename and os.path.isfile(filename): self._viewonly = True super(Store,self).__init__(**kwargs) def _add_to_stg_dict(self,componentDictionary): # lets build up component dictionary # append random string to provided name to ensure unique component names # call parents method super(Store,self)._add_to_stg_dict(componentDictionary) #Extension needs to added by lucDatabase when generating per timestep files filename = self.filename if filename: #Need base name, strip extensions if provided if filename.lower().endswith('.gldb'): filename = filename[0:-5] if filename.lower().endswith('.db'): filename = filename[0:-3] componentDictionary[self._db.name].update( { "filename" :filename, "splitTransactions" :True, "singleFile" :not self._split, "viewonly" :self._viewonly } ) def _setup(self): # Detect if viewer was built by finding executable... # (even though no longer needed as using libLavaVu # will keep this for now as is useful to know if the executable was built # and to pass it as first command line arg or if needed to get html path) self._lvpath = self._db.bin_path self._lvbin = os.path.join(self._db.bin_path, "LavaVu") global lavavu if lavavu and not os.path.isfile(self._lvbin): print("LavaVu rendering engine does not appear to exist. Perhaps it was not compiled.\n" "Please check your configuration, or contact developers.") lavavu = None
[docs] def save(self,filename): """ Saves the database to the provided filename. Parameters ---------- filename :str Filename to save file to. May include an absolute or relative path. """ if uw.rank() == 0: if not isinstance(filename, str): raise TypeError("Provided parameter 'filename' must be of type 'str'. ") if not filename.lower().endswith('.gldb') and not filename.lower().endswith('.db'): filename += '.gldb' libUnderworld.gLucifer.lucDatabase_BackupDbFile(self._db, filename) return filename
def lvrun(self, db=None, *args, **kwargs): if not db: db = self._db.path #Use a single LavaVu instance per db(store) to save resources if not self.viewer: self.viewer = lavavu.Viewer(cache=False, binpath=self._lvpath, database=db, timestep=self.step, *args, **kwargs) else: self.viewer.setup(cache=False, database=db, timestep=self.step, *args, **kwargs) #self.viewer.init() return self.viewer def _generate(self, figname, objects, props): #First merge object list with active for obj in objects: #Add nested colourbar objects if obj._colourBar: objects.append(obj._colourBar) obj._colourBar.parent = obj #Save parent ref #Set default parent flag obj.parent = None #Add to stored object list if not present if obj not in self._objects: self._objects.append(obj) #Set default names on objects where omitted by user #Needs to be updated every time as indices may have changed for o in range(len(self._objects)): #Default name + idx if no user set name obj = self._objects[o] if not "name" in obj.properties: if obj.properties.get("colourbar"): obj.properties["name"] = 'ColourBar_' + str(o) else: obj.properties["name"] = obj._dr.type[3:] + '_' + str(o) if not self._viewonly: #Set the write step self._db.timeStep = self.step #Delete all drawing objects in register for ii in range(self._db.drawingObject_Register.objects.count,0,-1): libUnderworld.StGermain._Stg_ObjectList_RemoveByIndex(self._db.drawingObject_Register.objects,ii-1, libUnderworld.StGermain.KEEP) #Add drawing objects to register and output any custom data on them for obj in self._objects: #Hide objects not in this figure (also check parent for colour bars) obj.properties["visible"] = bool(obj in objects or obj.parent and obj.parent in objects) #Ensure properties updated before object written to db _libUnderworld.gLucifer.lucDrawingObject_SetProperties(obj._dr, obj._getProperties()); if obj._colourMap: _libUnderworld.gLucifer.lucColourMap_SetProperties(obj._colourMap._cm, obj._colourMap._getProperties()); #Add the object to the drawing object register for the database libUnderworld.StGermain.Stg_ObjectList_Append(self._db.drawingObject_Register.objects,obj._cself) # go ahead and fill db libUnderworld.gLucifer._lucDatabase_Execute(self._db,None) #Output any custom geometry on objects for obj in self._objects: self._plotObject(obj) #Write visualisation state as json data libUnderworld.gLucifer.lucDatabase_WriteState(self._db, figname, self._get_state(self._objects, props)) else: #Open db, get state and update it to match active figure states = self._read_state() #Find state matching figure by name found = False for state in states: if state["figure"] == figname: found = True break if not found: state = states[-1] if len(objects): #For each obj in db, lookup in local list by name, replace properties if found #if not found locally, objects in db are hidden from view for dbobj in state["objects"]: dbobj["visible"] = False for obj in objects: if dbobj["name"] == obj.properties["name"]: #Merge/replace dbobj.update(obj.properties) dbobj["visible"] = True else: #No objects passed in with figure, simply plot them all for obj in state["objects"]: obj["visible"] = True export = dict() #Global properties passed from figure state["properties"].update(props) #View properties passed from figure #state["views"][0].update(viewprops) state["views"][0].update(props) #Write updated visualisation state as json data libUnderworld.gLucifer.lucDatabase_WriteState(self._db, figname, json.dumps(state, indent=2)) def _get_state(self, objects, props): #Get current state as string for export export = dict() #Global properties passed from figure export["properties"] = props #View properties passed from figure export["views"] = [props] #[viewprops] #Objects passed from figure objlist = [] for obj in objects: objlist.append(obj.properties) export["objects"] = objlist #TODO: ColourMap properties return json.dumps(export, indent=2) def _read_state(self): #Read state from database global lavavu if not lavavu or uw.rank() > 0: return if not self._db.db: libUnderworld.gLucifer.lucDatabase_OpenDatabase(self._db) try: lv = self.lvrun() #Get state, includes the list of objects in the loaded database statestr = lv.getFigures() #Also save the step data self.timesteps = json.loads(lv.getTimeSteps()) return json.loads(statestr) except RuntimeError,e: print "LavaVu error: " + str(e) import traceback traceback.print_exc() pass def _plotObject(self, drawingObject): #General purpose plotting using db output #Plot all custom data drawn on provided object farr = libUnderworld.gLucifer.new_farray(3) for pos in drawingObject.vertices: #Write vertex position i = 0 for item in pos: libUnderworld.gLucifer.farray_setitem(farr,i,item) # Set values i += 1 libUnderworld.gLucifer.lucDatabase_AddVertices(self._db, 1, drawingObject.geomType, farr) #Write vectors for vec in drawingObject.vectors: i = 0 for item in vec: libUnderworld.gLucifer.farray_setitem(farr,i,item) # Set values i += 1 libUnderworld.gLucifer.lucDatabase_AddVectors(self._db, 1, drawingObject.geomType, 0, 0, farr) #Write values for value in drawingObject.scalars: libUnderworld.gLucifer.farray_setitem(farr,0,value) # Set values libUnderworld.gLucifer.lucDatabase_AddValue(self._db, 1, drawingObject.geomType, farr) libUnderworld.gLucifer.delete_farray(farr) #Write labels for label in drawingObject.labels: libUnderworld.gLucifer.lucDatabase_AddLabel(self._db, drawingObject.geomType, label); #Write the custom geometry to the database libUnderworld.gLucifer.lucDatabase_OutputGeometry(self._db, drawingObject._dr.id)
[docs] def empty(self): """ Empties all the cached drawing objects """ self._objects = []
[docs]class Figure(dict): """ The Figure class provides a window within which gLucifer drawing objects may be rendered. It also provides associated routines for image generation and visualisation. In addition to parameter specification below, see property docstrings for further information. Parameters ---------- store: glucifer.Store Database to collect visualisation data, this may be shared among figures to collect their data into a single file. name: str Name of this figure, optional, used for revisualisation of stored figures. resolution: tuple Image resolution provided as a tuple. boundingBox: tuple Tuple of coordinate tuples defining figure bounding box. For example ( (0.1,0.1), (0.9,0.9) ) facecolour: str Background colour for figure. edgecolour: str Edge colour for figure. title: str Figure title. axis: bool Bool to determine if figure axis should be drawn. quality: unsigned Antialiasing oversampling quality. For a value of 2, the image will be rendered at twice the resolution, and then downsampled. Setting this to 1 disables antialiasing, values higher than 3 are not recommended.. properties: str Further properties to set on the figure. Example ------- Create a figure: >>> import glucifer >>> fig = glucifer.Figure() We need a mesh >>> import underworld as uw >>> mesh = uw.mesh.FeMesh_Cartesian() Add drawing objects: >>> fig.append( glucifer.objects.Surface( mesh, 1.) ) Draw image (note, in a Jupyter notebook, this will render the image within the notebook). >>> fig.show() <IPython.core.display.HTML object> Save the image >>> imgfile = fig.save("test_image") Clean up: >>> if imgfile: ... import os; ... os.remove( imgfile ) """ _viewerProc = None _id = 1 def __init__(self, store=None, name=None, figsize=None, boundingBox=None, facecolour="white", edgecolour="black", title="", axis=False, quality=1, *args, **kwargs): #Create a default database just for this figure if none provided if store and isinstance(store, Store): self.db = store else: self.db = Store() if name: if not isinstance(name,str): raise TypeError("'name' object passed in must be of python type 'str'") elif "name" in kwargs: name = kwargs["name"] else: name = "Figure_" + str(Figure._id) Figure._id += 1 self.name = name if boundingBox and not isinstance(boundingBox,tuple): raise TypeError("'boundingBox' object passed in must be of type 'tuple'") if boundingBox and not isinstance(boundingBox[0],tuple): raise TypeError("'boundingBox[0]' object passed in must be of type 'tuple'") if boundingBox and not isinstance(boundingBox[1],tuple): raise TypeError("'boundingBox[1]' object passed in must be of type 'tuple'") if not isinstance(edgecolour,str): raise TypeError("'edgecolour' object passed in must be of python type 'str'") if not isinstance(axis,bool): raise TypeError("'axis' object passed in must be of python type 'bool'") if quality and not isinstance(quality,(int,float)): raise TypeError("'quality' object passed in must be of python type 'float' or 'int'") self["quality"]=quality #Setup default properties self.update({"resolution" : (640, 480), "title" : str(title), "axis" : axis, "axislength" : 0.2, "antialias" : True, "background" : facecolour, "margin" : 34, "border" : (1 if edgecolour else 0), "bordercolour" : edgecolour, "rulers" : False, "zoomstep" : 0}) #User-defined props in kwargs self.update(kwargs) dict((k.lower(), v) for k, v in self.iteritems()) if boundingBox: #Add 3rd dimension if missing if len(boundingBox[0]) < 3 or len(boundingBox[1]) < 3: boundingBox = (tuple(list(boundingBox[0]) + [0]), tuple(list(boundingBox[1]) + [0])) self["min"] = boundingBox[0] self["max"] = boundingBox[1] #Legacy parameter if figsize and not isinstance(figsize,tuple): raise TypeError("'resolution' object passed in must be of python type 'tuple'") elif figsize: self["resolution"] = figsize self.draw = objects.Drawing() self._drawingObjects = [] self._script = [] super(Figure, self).__init__(*args) def __del__(self): self.close_viewer() def _getProperties(self): #Convert properties to string return '\n'.join(['%s=%s' % (k,v) for k,v in self.iteritems()]); def _setProperties(self, newProps): #Update the properties values (merge) #values of any existing keys are replaced self.update(newProps) @property def resolution(self): """ resolution (tuple(int,int)): size of window in pixels. """ return self["resolution"] @property def facecolour(self): """ facecolour : colour of face background. """ return self["background"] @property def edgecolour(self): """ edgecolour : colour of figure border. """ return self["bordercolour"] @property def title(self): """ title : a title for the image. """ return self["title"] @property def axis(self): """ axis : Axis enabled if true. """ return self["axis"] @property def objects(self): """ objects : list of objects to be drawn within the figure. """ return self._drawingObjects @property def properties(self): """ properties (dict): visual properties of viewport, passed to LavaVu to control rendering output of figure. When using the property setter, new properties are set, overwriting any duplicate keys but keeping existing values otherwise. """ return self @properties.setter def properties(self, value): self._setProperties(value)
[docs] def show(self, type="Image"): """ Shows the generated image inline within an ipython notebook. Parameters ---------- type: str Type of visualisation to display ('Image' or 'WebGL'). If IPython is installed, displays the result image or WebGL content inline If IPython is not installed, this method will call the default image/web output routines to save the result with a default filename in the current directory """ self._generate_DB() global lavavu if not lavavu or uw.rank() > 0: return try: if __IPYTHON__: from IPython.display import display,Image,HTML if type.lower() == "webgl": display(self._generate_HTML()) else: #Return inline image result filename = self._generate_image() display(HTML("<img src='%s'>" % filename)) else: #Fallback to export image self.save(filename=self.name, type=type) except NameError, ImportError: #Fallback to export image self.save(filename=self.name, type=type) pass except RuntimeError, e: print "Error creating image: " print e pass except: raise
def save_image(self, filename="", size=(0,0)): # For back compatibility return self.save(filename, size) def save_database(self, filename, regen=True): if regen: self._generate_DB() return self.db.save(filename)
[docs] def save(self, filename=None, size=(0,0), type="Image"): """ Saves the generated image to the provided filename or the figure to the database. Parameters ---------- filename :str Filename to save file to. May include an absolute or relative path. size (tuple(int,int)): size of image in pixels, defaults to original figsize setting If omitted, simply saves the figure data without generating an image type: str Type of visualisation to save ('Image' or 'WebGL'). Returns ------- filename: str The final filename (including extension) used to save the image will be returned. Note that only the root process will return this filename. All other processes will not return anything. """ self._generate_DB() if filename != None: if not isinstance(filename, str): raise TypeError("Provided parameter 'filename' must be of type 'str'. ") if size and not isinstance(size,tuple): raise TypeError("'size' object passed in must be of python type 'tuple'") try: if type.lower() == "webgl": lv = self.db.lvrun() return lv.web(True) else: return self._generate_image(filename, size) except RuntimeError,e: print "LavaVu error: " + str(e) import traceback traceback.print_exc() pass
def _generate_DB(self): objects = self._drawingObjects[:] #Only add default object if used if len(self.draw.vertices) > 0: objects.append(self.draw) self.db._generate(self.name, objects, self) def _generate_image(self, filename="", size=(0,0)): global lavavu if not lavavu or uw.rank() > 0: return try: #Render with viewer lv = self.db.lvrun(quality=self["quality"], script=self._script) imagestr = lv.image(filename, size[0], size[1]) #Return the generated filename return imagestr except RuntimeError,e: print "LavaVu error: " + str(e) import traceback traceback.print_exc() pass return "" def _generate_HTML(self): global lavavu if not lavavu or uw.rank() > 0: return try: #Export encoded json string lv = self.db.lvrun(script=self._script) #Create link to web content directory if not os.path.isdir("html"): os.symlink(os.path.join(self.db._lvpath, 'html'), 'html') jsonstr = lv.web() #Write files to disk first, can be passed directly on url but is slow for large datasets filename = "input_" + self.db._db.name + ".json" text_file = open("html/" + filename, "w") text_file.write(jsonstr); text_file.close() from IPython.display import IFrame return IFrame("html/index.html#" + filename, width=self["resolution"][0], height=self["resolution"][1]) #import base64 #return IFrame("html/index.html#" + base64.b64encode(jsonstr), width=self["resolution"][0], height=self["resolution"][1]) except RuntimeError,e: print "LavaVu error: " + str(e) import traceback traceback.print_exc() pass return ""
[docs] def script(self, cmd=None): """ Append to or get contents of the saved script. Parameters ---------- cmd: str Command to add to script. """ if cmd: if isinstance(cmd, list): self._script += cmd else: self._script += [cmd] else: self._script = [] #Returns contents as newline separated string return '\n'.join(self._script)
[docs] def viewer(self): """ Open the inline viewer. """ #Open viewer instance global lavavu if lavavu and uw.rank() == 0: #Generate db if doesn't exist if not self.db._db.path: self._generate_DB() v = self.db.lvrun() v.window() return v
[docs] def open_viewer(self, args=[], background=True): """ Open the external viewer. """ fname = self.db.filename if not fname: fname = os.path.join(tmpdir,"gluciferDB"+self.db._id+".gldb") self.save_database(fname) #Already open? if self._viewerProc and self._viewerProc.poll() == None: return global lavavu if lavavu and uw.rank() == 0: #Open viewer with local web server for interactive/iterative use if background: self._viewerProc = subprocess.Popen([self.db._lvbin, "-" + str(self.db.step), "-p9999", "-q90", fname] + args, stdout=PIPE, stdin=PIPE, stderr=STDOUT) from IPython.display import HTML return HTML('''<a href='#' onclick='window.open("http://" + location.hostname + ":9999");'>Open Viewer Interface</a>''') else: lv = self.db.lvrun(db=fname, port=9999)
[docs] def close_viewer(self): """ Close the viewer. """ #poll() returns None if the process is alive if self._viewerProc and self._viewerProc.poll() == None: self.send_command("quit") self._viewerProc.kill() self._viewerProc = None
[docs] def run_script(self): """ Run the saved script on an open viewer instance """ self.open_viewer() url = "http://localhost:9999/command=" + urllib2.quote(';'.join(self._script)) response = urllib2.urlopen(url).read()
#print response
[docs] def send_command(self, cmd, retry=True): """ Run command on an open viewer instance. Parameters ---------- cmd: str Command to send to open viewer. """ global lavavu if lavavu and uw.rank() == 0: self.open_viewer() url = "http://localhost:9999/command=" + urllib2.quote(cmd) try: #print url response = urllib2.urlopen(url).read() #print response except: print "Send command '" + cmd + "' failed, no response" if retry: #Wait a few seconds so server has time to start then try again print "... retrying in 1s ..." time.sleep(1) self.send_command(cmd, False) else: print "... failed, skipping ..." pass
def clear(self): # DEPRECATE raise RuntimeError("This method is now deprecated.\n" \ "To obtain an empty figure just create a new one") def __add__(self,drawing_object): # DEPRECATE raise RuntimeError("This method is now deprecated.\n" \ "To add drawing objects to figures, use the append() method:\n" \ " someFigure.append(someDrawingObject)")
[docs] def append(self,drawingObject): """ Add a drawing object to the figure. Parameters ---------- drawingObject: glucifer.objects.Drawing The drawing object to add to the figure """ if not isinstance(drawingObject, objects.Drawing): raise TypeError("Object your are trying to add to figure does not appear to be of type 'Drawing'.") self._drawingObjects.append( drawingObject )
@property def step(self): """ step (int): current timestep """ return self.db.step @step.setter def step(self, value): #Sets new step on db self.db.step = value
[docs]class Viewer(dict): """ The Viewer class provides an interface to load stored figures and revisualise them In addition to parameter specification below, see property docstrings for further information. Parameters ---------- filename: str Filename of database used to previously store the visualisation figures Example ------- Create a reader using an existing database: >>> import glucifer >>> saved = glucifer.Viewer('vis.gldb') Iterate over the figures, print their names and plot them >>> for fig in saved: >>> print(fig.name) Get first figure and display >>> fig = saved.next() >>> fig.show() Get a figure by name and display (A chosen name can be provided when creating the figures to make this easier) >>> fig = saved["myfig"] >>> fig.show() Display all figures at each timestep >>> for step in saved.steps: >>> saved.step = step >>> for name in saved: >>> fig = saved[name] >>> fig.quality = 3 >>> fig["title"] = "Timestep ##" >>> fig.show() """ _index = 0 def __init__(self, filename, *args, **kwargs): if not isinstance(filename,str): raise TypeError("'filename' object passed in must be of python type 'str'") self._db = Store(filename, view=True) self.steps = [-1] super(Viewer, self).__init__(*args, **kwargs) global lavavu if not lavavu: print("LavaVu build is required to use Viewer") return #Load existing figures and save names states = self._db._read_state() if not states: return #No data for state in states: figname = str(state["figure"]) fig = Figure(self._db, name=figname, **state["properties"]) self[figname] = fig #Append objects, just create generic Drawing type to hold properties for obj in state["objects"]: if obj["visible"]: fig.append(objects.Drawing(**obj)) #Timestep info self.steps = self._db.timesteps def next(self): #Return next available figure and increment index if self._index >= len(self): self._index = 0 key = list(self)[self._index] self._index += 1 return self[key] @property def step(self): """ step (int): current timestep """ return self._db.step @step.setter def step(self, value): #Sets new step on db self._db.step = value