workflow.py

#
# Copyright (C) 2012 INRA
# 
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# 
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
# 
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#

import inspect
import os
import re
import sys
import uuid
import pkgutil
import tempfile
import pickle
import time
import threading
import types
import logging
import datetime
import shutil

from logging import FileHandler
from ConfigParser import ConfigParser, NoOptionError
from inspect import getcallargs

import jflow
import jflow.utils as utils
from jflow.utils import validate_email
from pygraph.classes.digraph import digraph
from jflow.workflows_manager import WorkflowsManager, JFlowConfigReader
from jflow.utils import get_octet_string_representation, get_nb_octet
from jflow.parameter import *
from cctools.util import time_format

from weaver.script import ABSTRACTIONS
from weaver.script import DATASETS
from weaver.script import FUNCTIONS
from weaver.script import NESTS
from weaver.script import OPTIONS
from weaver.script import STACKS
from weaver.nest import Nest
from weaver.options import Options
from cctools.makeflow import MakeflowLog
from cctools.makeflow.log import Node


class MINIWorkflow(object):
    
    def __init__(self, id, name, description, status, start_time, end_time, metadata, 
                 component_nameids, compts_status, errors):
        self.id = id
        self.name = name
        self.description = description
        self.status = status
        self.start_time = start_time
        self.end_time = end_time
        self.metadata = metadata
        self.component_nameids = component_nameids
        self.compts_status = compts_status
        self.errors = errors
        
    def get_components_nameid(self):
        return self.component_nameids

    def get_component_status(self, component_nameid):
        return self.compts_status[component_nameid]
    
    def get_errors(self):
        return self.errors
    
    def get_status(self):
        return self.status

class Workflow(threading.Thread):
    

    PROPERTIES_FILE_NAME = "workflow.properties"
    MAKEFLOW_LOG_FILE_NAME = "Makeflow.makeflowlog"
    DUMP_FILE_NAME = ".workflow.dump"
    WORKING = ".working"
    
    STATUS_STARTED = "started"
    STATUS_COMPLETED = "completed"
    STATUS_FAILED = "failed"
    STATUS_ABORTED = "aborted"
    STATUS_RESETED = "reseted"
    
    INPUT_GRAPH_LABEL = "input"
    INPUTS_GRAPH_LABEL = "inputs"
    COMPONENT_GRAPH_LABEL = "component"
    
    
    def __init__(self, args={}, id=None, function= "process"):
        # define as a thread
        threading.Thread.__init__(self)
        self.jflow_config_reader = JFlowConfigReader()
        self.manager = WorkflowsManager()
        self.components_to_exec = []
        self.components = []
        self.makes = {}
        self.globals = {}
        self.options = Options()
        self.status = self.STATUS_STARTED
        self.start_time = None
        self.end_time = None
        self.step = None
        self.stderr = None
        self.args = args
        self.dynamic_component_present = False
        self.__to_address = None
        self.__subject = None
        self.__message = None
        self.function = function
        self.comp_pckg = self._import_components()
        # intruduce --log-verbose to be able to monitor the new version of makeflow >=4.2.2
        self.engine_arguments = ' --log-verbose '
        self.component_nameids_is_init = False
        self.component_nameids = {}
        self.reseted_components = []
        # try to parse engine arguments
        try:
            type, options, limit_submission = self.jflow_config_reader.get_batch()
            if limit_submission : self.engine_arguments += ' -J ' + str(limit_submission)
            if type: self.engine_arguments += ' -T ' + type
            if options : self.engine_arguments += ' -B "' + options + '"'
        except: self.engine_arguments = None

        self.id = id
        self.name = self.get_name()
        self.description = self.get_description()
        
        # define the parameters 
        self.params_order = []
        self.define_parameters(self.function)
        # add the metadata parameter
        self.add_parameter_list("metadata", "Which metadata should be linked to this workflow")
        
        if self.id is not None:
            self.directory = self.manager.get_workflow_directory(self.name, self.id)
            if not os.path.isdir(self.directory):
                os.makedirs(self.directory, 0751)
            if self.stderr is None:
                self.set_stderr()
            self._serialize()
    
    def add_input_file(self, name, help, file_format="any", default=None, type="inputfile", 
                       required=False, flag=None, group="default", display_name=None, size_limit="0", add_to=None):
        # check if the size provided is correct
        try: int(get_nb_octet(size_limit))
        except: size_limit="0"
        new_param = InputFile(name, help, flag=flag, file_format=file_format, default=default, 
                              type=type, required=required, group=group, display_name=display_name, size_limit=size_limit)
        new_param.linkTrace_nameid = name
        # if this input should be added to a particular parameter
        if add_to:
            try:
                self.__getattribute__(add_to).add_sub_parameter(new_param)
            except: pass
        # otherwise, add it to the class itself
        else:
            self.params_order.append(name)
            self.__setattr__(name, new_param)
            
    def add_input_file_list(self, name, help, file_format="any", default=None, type="inputfile", 
                            required=False, flag=None, group="default", display_name=None, size_limit="0", add_to=None):
        # check if the size provided is correct
        if default == None: default = []
        try: int(get_nb_octet(size_limit))
        except: size_limit="0"
        if default == None:
            inputs = []
        elif issubclass(default.__class__, list):
            inputs = [IOFile(file, file_format, name, None) for file in default]
        else:
            inputs = [IOFile(default, file_format, name, None)]
        new_param = InputFileList(name, help, flag=flag, file_format=file_format, default=inputs, 
                                  type=type, required=required, group=group, display_name=display_name, size_limit=size_limit)
        new_param.linkTrace_nameid = name
        # if this input should be added to a particular parameter
        if add_to:
            try:
                self.__getattribute__(add_to).add_sub_parameter(new_param)
            except: pass
        # otherwise, add it to the class itself
        else:
            self.params_order.append(name)
            self.__setattr__(name, new_param)
            
    def add_multiple_parameter(self, name, help, required=False, flag=None, group="default", display_name=None):
        self.params_order.append(name)
        new_param = MultiParameter(name, help, flag=flag, required=required, group=group, display_name=display_name)
        self.__setattr__(name, new_param)

    def add_multiple_parameter_list(self, name, help, required=False, flag=None, group="default", display_name=None):
        self.params_order.append(name)
        new_param = MultiParameterList(name, help, flag=flag, required=required, group=group, display_name=display_name)
        self.__setattr__(name, new_param)
    
    def add_parameter(self, name, help, default=None, type=types.StringType, choices=None, 
                      required=False, flag=None, group="default", display_name=None, add_to=None):
        new_param = ParameterFactory.factory(name, help, flag=flag, default=default, type=type, choices=choices, 
                              required=required, group=group, display_name=display_name)
        # if this input should be added to a particular parameter
        if add_to:
            try:
                self.__getattribute__(add_to).add_sub_parameter(new_param)
            except: pass
        # otherwise, add it to the class itself
        else:
            self.params_order.append(name)
            self.__setattr__(name, new_param)
    
    def add_parameter_list(self, name, help, default=None, type=types.StringType, choices=None, 
                           required=False, flag=None, group="default", display_name=None, add_to=None):
        if default == None: default = []
        new_param = ParameterList(name, help, flag=flag, default=default, type=type, choices=choices, 
                                  required=required, group=group, display_name=display_name)
        # if this input should be added to a particular parameter
        if add_to:
            try:
                self.__getattribute__(add_to).add_sub_parameter(new_param)
            except: pass
        # otherwise, add it to the class itself
        else:
            self.params_order.append(name)
            self.__setattr__(name, new_param)
    
    def add_exclusion_rule(self, *args2exclude):
        # first of all, are this parameter exist
        params2exclude = []
        for arg2exclude in args2exclude:
            try:
                params2exclude.append(self.__getattribute__(arg2exclude))
            except: pass
        # everything is ok, let's go
        if len(params2exclude) == len(args2exclude):
            new_group = "exclude-"+uuid.uuid4().hex[:5]
            for paramsexclude in params2exclude:
                paramsexclude.group = new_group
        # it might be a mutliple param rule
        else:
            for attribute_value in self.__dict__.values():
                if issubclass(attribute_value.__class__, MultiParameter) or issubclass(attribute_value.__class__, MultiParameterList):
                    params2exclude = []
                    for sub_param in attribute_value.sub_parameters:
                        if sub_param.name in args2exclude:
                            params2exclude.append(sub_param)
                    if len(params2exclude) == len(args2exclude):
                        new_group = "exclude-"+uuid.uuid4().hex[:5]
                        flags2exclude = []
                        for paramsexclude in params2exclude:
                            paramsexclude.group = new_group
                            flags2exclude.append(paramsexclude.flag)
                        attribute_value.type.excludes[new_group] = flags2exclude
                        break

    def _prepare_parameter(self, args, parameter, key="name"):
        new_param = None
        # Retrieve value
        if args.has_key(parameter.__getattribute__(key)):
            value = args[parameter.__getattribute__(key)]
        elif parameter != None:
            value = parameter.default
        else:
            value = None
        # Set new parameter
        if parameter.__class__ ==  StrParameter or parameter.__class__ == IntParameter or parameter.__class__ == FloatParameter or parameter.__class__ == BoolParameter or parameter.__class__ == DateParameter:
            new_param = ParameterFactory.factory( parameter.name, parameter.help, default=value, type=parameter.type, choices=parameter.choices, 
                                                  required=parameter.required, flag=parameter.flag, group=parameter.group, 
                                                  display_name=parameter.display_name )
        elif parameter.__class__ ==  ParameterList:
            if value == "" : value = [] # from GUI
            new_param = ParameterList( parameter.name, parameter.help, default=value, type=parameter.type, choices=parameter.choices,
                                       required=parameter.required, flag=parameter.flag, sub_parameters=parameter.sub_parameters,
                                       group=parameter.group, display_name=parameter.display_name )
        elif parameter.__class__ == InputFileList:
            if value == "" : value = [] # from GUI
            iovalues = []
            for file in parameter.prepare_input_files(value):
                iovalues.append(IOFile(file, parameter.file_format, parameter.linkTrace_nameid, None))
            new_param = InputFileList( parameter.name, parameter.help, file_format=parameter.file_format, default=iovalues,
                                       type=parameter.type, choices=parameter.choices, required=parameter.required, flag=parameter.flag,
                                       group=parameter.group, display_name=parameter.display_name, size_limit=parameter.size_limit )
            new_param.linkTrace_nameid = parameter.linkTrace_nameid            
        elif parameter.__class__ == InputFile:
            if value == "" : value = None # from GUI
            new_param = InputFile( parameter.name, parameter.help, file_format=parameter.file_format, default=parameter.prepare_input_file(value),
                                   type=parameter.type, choices=parameter.choices, required=parameter.required, flag=parameter.flag, 
                                   group=parameter.group, display_name=parameter.display_name )
            new_param.linkTrace_nameid = parameter.linkTrace_nameid
        else:
            raise Exception( "Unknown class '" +  parameter.__class__.__name__ + "' for parameter.")
        return new_param

    def _set_parameters(self, args):
        parameters = self.get_parameters()
        for param in parameters:
            new_param = None
            if param.__class__ == MultiParameter:
                new_param = MultiParameter(param.name, param.help, required=param.required, flag=param.flag, group=param.group, display_name=param.display_name)
                new_param.sub_parameters = param.sub_parameters
                if args[param.name]:
                    sub_args = {}
                    for sarg in args[param.name]:
                        sub_args[sarg[0]] = sarg[1]
                    for sub_param in param.sub_parameters:
                        new_sub_parameter = self._prepare_parameter(sub_args, sub_param, "flag")
                        new_param[new_sub_parameter.name] = new_sub_parameter
            elif param.__class__ == MultiParameterList:
                new_param = MultiParameterList(param.name, param.help, required=param.required, flag=param.flag, group=param.group, display_name=param.display_name)
                new_param.sub_parameters = param.sub_parameters
                for idx, sargs in enumerate(args[param.name]):
                    new_multi_param = MultiParameter(param.name + '_' + str(idx), '', required=False, flag=None, group="default", display_name=None)
                    sub_args = {}
                    for sarg in sargs:
                        sub_args[sarg[0]] = sarg[1]
                    for sub_param in param.sub_parameters:
                        new_sub_param = self._prepare_parameter(sub_args, sub_param, "flag")
                        new_multi_param[new_sub_param.name] = new_sub_param
                    new_param.append(new_multi_param)
            else:
                new_param = self._prepare_parameter(args, param)
            self.__setattr__(param.name, new_param)

    def get_execution_graph(self):
        gr = digraph()
        for ioparameter in self.__dict__.values():
            if issubclass(ioparameter.__class__, InputFile):
                gr.add_node(ioparameter.name)
                gr.add_node_attribute(ioparameter.name, self.INPUT_GRAPH_LABEL)
            elif issubclass(ioparameter.__class__, InputFileList):
                gr.add_node(ioparameter.name)
                gr.add_node_attribute(ioparameter.name, self.INPUTS_GRAPH_LABEL)
        for cpt in self.components:
            gr.add_node(cpt.get_nameid())
            gr.add_node_attribute(cpt.get_nameid(), self.COMPONENT_GRAPH_LABEL)
        for cpt in self.components:
            for ioparameter in cpt.__dict__.values():
                if issubclass( ioparameter.__class__, InputFile ) or issubclass( ioparameter.__class__, InputFileList):
                    for parent in ioparameter.parent_linkTrace_nameid:
                        try: gr.add_edge((parent, ioparameter.linkTrace_nameid))
                        except: pass
        return gr

    def set_stderr(self):
        if hasattr(self, "stderr") and self.stderr is not None:
            os.rename( self.stderr, os.path.join(self.directory, str(time.time()) + "wf_stderr.old") )
        stderr = os.path.join(self.directory, "wf_stderr.txt")
        logger = logging.getLogger( "wf." + str(self.id) )
        logger.setLevel(logging.DEBUG)
        formatter = logging.Formatter( '%(asctime)s :: %(message)s' )
        file_handler = FileHandler(stderr, 'a')
        file_handler.setLevel(logging.ERROR)
        file_handler.setFormatter(formatter)
        logger.addHandler(file_handler)
        self.stderr = stderr

    def delete(self):
        if self.get_status() in [self.STATUS_COMPLETED, self.STATUS_FAILED, self.STATUS_ABORTED]:
            shutil.rmtree(self.directory)

    @staticmethod
    def config_parser(arg_lines):
        for arg in arg_lines:
            yield arg
            
    @staticmethod
    def get_status_under_text_format(workflow, detailed=False, display_errors=False, html=False):
        if workflow.start_time: start_time = time.asctime(time.localtime(workflow.start_time))
        else: start_time = "-"
        if workflow.start_time and workflow.end_time: elapsed_time = str(workflow.end_time-workflow.start_time)
        elif workflow.start_time: elapsed_time = str(time.time()-workflow.start_time)
        else: elapsed_time = "-"
        elapsed_time = "-" if elapsed_time == "-" else str(datetime.timedelta(seconds=int(str(elapsed_time).split(".")[0])))
        if workflow.end_time: end_time = time.asctime(time.localtime(workflow.end_time))
        else: end_time = "-"
        if detailed:
            # Global
            title = "Workflow #" + utils.get_nb_string(workflow.id) + " (" + workflow.name + ") is " + \
                    workflow.get_status() + ", time elapsed: " + str(elapsed_time) + " (from " + start_time + \
                    " to " + end_time + ")"
            worflow_errors = ""
            error = workflow.get_errors()
            if error is not None:
                if html: worflow_errors = "Workflow Error :\n  <span style='color:#ff0000'>" + error["location"] + "\n    " + "\n    ".join(error["msg"]) + "</span>"
                else: worflow_errors = "Workflow Error :\n  \033[91m" + error["location"] + "\n    " + "\n    ".join(error["msg"]) + "\033[0m"
            # By components
            components_errors = ""
            status = "Components Status :\n"
            for i, component in enumerate(workflow.get_components_nameid()):
                status_info = workflow.get_component_status(component)
                try: perc_waiting = (status_info["waiting"]*100.0)/status_info["tasks"]
                except: perc_waiting = 0
                try: perc_running = (status_info["running"]*100.0)/status_info["tasks"]
                except: perc_running = 0
                try: perc_failed = (status_info["failed"]*100.0)/status_info["tasks"]
                except: perc_failed = 0
                try: perc_aborted = (status_info["aborted"]*100.0)/status_info["tasks"]
                except: perc_aborted = 0
                try: perc_completed = (status_info["completed"]*100.0)/status_info["tasks"]
                except: perc_completed = 0
                
                if status_info["running"] > 0: 
                    if html: running = "<span style='color:#3b3bff'>running:" + str(status_info["running"]) + "</span>"
                    else: running = "\033[94mrunning:" + str(status_info["running"]) + "\033[0m"
                else: running = "running:" + str(status_info["running"])
                if status_info["waiting"] > 0: 
                    if html: waiting = "<span style='color:#ffea00'>waiting:" + str(status_info["waiting"]) + "</span>"
                    else: waiting = "\033[93mwaiting:" + str(status_info["waiting"]) + "\033[0m"
                else: waiting = "waiting:" + str(status_info["waiting"])            
                if status_info["failed"] > 0: 
                    if html: failed = "<span style='color:#ff0000'>failed:" + str(status_info["failed"]) + "</span>"
                    else: failed = "\033[91mfailed:" + str(status_info["failed"]) + "\033[0m"
                else: failed = "failed:" + str(status_info["failed"])
                if status_info["aborted"] > 0: 
                    if html: aborted = "<span style='color:#ff01ba'>aborted:" + str(status_info["aborted"]) + "</span>"
                    else: aborted = "\033[95maborted:" + str(status_info["aborted"]) + "\033[0m"
                else: aborted = "aborted:" + str(status_info["aborted"])
                if status_info["completed"] == status_info["tasks"] and status_info["completed"] > 0: 
                    if html: completed = "<span style='color:#14ac00'>completed:" + str(status_info["completed"]) + "</span>"
                    else: completed = "\033[92mcompleted:" + str(status_info["completed"]) + "\033[0m"
                else: completed = "completed:" + str(status_info["completed"])
                
                if display_errors and len(status_info["failed_commands"]) > 0:
                    if components_errors == "" :
                        components_errors = "Failed Commands :\n"  
                    components_errors += "  - " + component + " :\n    " + "\n    ".join(status_info["failed_commands"])
                status += "  - " + component + ", time elapsed " + time_format(status_info["time"]) + \
                    " (total:" + str(status_info["tasks"]) + ", " + waiting + ", " + running + ", " + failed + \
                    ", " + aborted + ", " + completed + ")"
                if i<len(workflow.get_components_nameid())-1: status += "\n"
            # Format str
            pretty_str = title
            pretty_str += ("\n" + worflow_errors) if worflow_errors != "" else ""
            pretty_str += ("\n" + status) if status != "" else ""
            pretty_str += ("\n" + components_errors) if components_errors != "" else ""
            if html: return pretty_str.replace("\n", "<br />")
            else: return pretty_str
        else:
            pretty_str = utils.get_nb_string(workflow.id) + "\t" + workflow.name + "\t"
            if workflow.get_status() == Workflow.STATUS_STARTED:
                pretty_str += "\033[94m"
            elif workflow.get_status() == Workflow.STATUS_COMPLETED:
                pretty_str += "\033[92m"
            elif workflow.get_status() == Workflow.STATUS_FAILED:
                pretty_str += "\033[91m"
            elif workflow.get_status() == Workflow.STATUS_ABORTED:
                pretty_str += "\033[91m"
            elif workflow.get_status() == Workflow.STATUS_RESETED:
                pretty_str += "\033[3m"
            pretty_str += workflow.get_status() + "\033[0m"
            pretty_str += "\t" + elapsed_time + "\t" + start_time + "\t" + end_time
            return pretty_str
    
    def get_errors(self):
        error = {
                 "title"     : "",
                 "msg"       : list(),
                 "traceback" : list()
        }
        line_idx = 0
        FH_stderr = open( self.stderr )
        lines = FH_stderr.readlines()
        while line_idx < len(lines):
            if lines[line_idx].strip().endswith("RunWorflowException"):
                error["title"]     = lines[line_idx].rstrip()
                error["msg"]       = list()
                error["traceback"] = list()
                line_idx += 2 # skip : "Traceback (most recent call last):"
                # Traceback
                while lines[line_idx] != lines[line_idx].lstrip():
                    error["traceback"].append({ 
                                               "location" : lines[line_idx].strip(),
                                               "line"     : lines[line_idx].strip()
                    })
                    line_idx += 2
                # Error message
                while line_idx < len(lines) and not lines[line_idx].strip().endswith("RunWorflowException"):
                    error["msg"].append( lines[line_idx].strip() )
                    line_idx += 1
                line_idx -= 1
            line_idx += 1
        FH_stderr.close()
        last_stack_location = ""
        if len(error["traceback"]) > 0:
            last_stack_location = error["traceback"][-1]["location"].strip()
            return { "msg" : error["msg"], "location" : last_stack_location }
        else:
            return None
    
    def get_outputs_per_components(self):
        outputs_files = {}
        for current_components in self.components:
            #status = self.get_component_status(current_components.get_nameid())
            outputs_files[current_components.get_nameid()] = current_components.get_output_files()
            #outputs_files["0"] = status["completed"]
        return outputs_files
    
    def __setstate__(self, state):
        self.__dict__ = state.copy()
        threading.Thread.__init__(self, name=self.name)
        
    def __getstate__(self):
        """
        Threading uses Lock Object, do not consider these objects when serializing a workflow
        """
        odict = self.__dict__.copy()
        del odict['_Thread__started']
        del odict['_Thread__block']
        del odict['_Thread__stderr']
        return odict
    
    def set_to_address(self, to_address):
        self.__to_address = to_address

    def set_subject(self, subject):
        self.__subject = subject

    def set_message(self, message):
        self.__message = message
    
    def _send_email(self):
        
        import smtplib
        from email.mime.text import MIMEText        
        smtps, smtpp, froma, fromp, toa, subject, message = self.jflow_config_reader.get_email_options()
        
        if self.__to_address: toa = self.__to_address
        if self.__subject: subject = self.__subject
        if self.__message: message = self.__message
        
        if smtps and smtpp and froma and fromp:
            if not toa: toa = froma
            if validate_email(froma) and validate_email(toa):
                try:
                    # Open a plain text file for reading.  For this example, assume that
                    # the text file contains only ASCII characters.
                    # Create a text/plain message
                    if not message:
                        message = Workflow.get_status_under_text_format(self, True, True, True)
                    msg = MIMEText(message, 'html')
                    me = froma
                    you = toa
                    if not subject: subject = "JFlow - Workflow #" + str(self.id) + " is " + self.status
                    msg['Subject'] = subject
                    msg['From'] = me
                    msg['To'] = you
                    # Send the message via our own SMTP server, but don't include the
                    # envelope header.
                    s = smtplib.SMTP(smtps, smtpp)
                    s.ehlo()
                    s.starttls()
                    s.login(me, fromp)
                    s.sendmail(me, [you], msg.as_string())
                    s.close()
                except:
                    logging.getLogger("wf." + str(self.id)).debug("Impossible to connect to smtp server '" + smtps + "'")
          
    def get_parameters_per_groups(self):
        name = self.get_name()
        description = self.get_description()
        parameters = self.get_parameters()
        pgparameters, parameters_order = {}, []
        for param in parameters:
            if param.group not in parameters_order: parameters_order.append(param.group)
            if pgparameters.has_key(param.group):
                pgparameters[param.group].append(param)
            else:
                pgparameters[param.group] = [param]
        return [pgparameters, parameters_order]
    
    def get_parameters(self):
        params = []
        for param in self.params_order:
            for attribute_value in self.__dict__.values():
                if (issubclass(attribute_value.__class__, AbstractParameter)) and param == attribute_value.name:
                    params.append(attribute_value)
        return params
    
    def get_exec_path(self, software):
        exec_path = self.jflow_config_reader.get_exec(software)
        if exec_path is None and os.path.isfile(os.path.join(os.path.dirname(inspect.getfile(self.__class__)), "../bin", software)):
            exec_path = os.path.join(os.path.dirname(inspect.getfile(self.__class__)), "../bin", software)
        elif exec_path is None and os.path.isfile(os.path.join(os.path.dirname(inspect.getfile(self.__class__)), "bin", software)):
            exec_path = os.path.join(os.path.dirname(inspect.getfile(self.__class__)), "bin", software)
        elif exec_path is None and utils.which(software) == None:
            utils.display_error_message("'" + software + "' path connot be retrieved either in the PATH and in the application.properties file!")
        elif exec_path is None and utils.which(software) != None: 
            exec_path = software
        elif exec_path != None and not os.path.isfile(exec_path):
            utils.display_error_message("'" + exec_path + "' set for '" + software + "' does not exists, please provide a valid path!")
        return exec_path
    
    def add_component(self, component_name, args=[], kwargs={}, component_prefix="default"):
        # first build and check if this component is OK
        if self.comp_pckg.has_key(component_name):
            my_pckge = __import__(self.comp_pckg[component_name], globals(), locals(), [component_name], -1)
            # build the object and define required field
            cmpt_object = getattr(my_pckge, component_name)()
            cmpt_object.output_directory = self.get_component_output_directory(component_name, component_prefix)
            cmpt_object.prefix = component_prefix
            if kwargs: cmpt_object.define_parameters(**kwargs)
            else: cmpt_object.define_parameters(*args)
            
            # there is a dynamic component
            if cmpt_object.is_dynamic():
                self.dynamic_component_present = True
                # if already init, add the component to the list and check if weaver should be executed
                if self.component_nameids_is_init:
                    # add the component
                    self.components_to_exec.append(cmpt_object)
                    self.components.append(cmpt_object)
                    self._execute_weaver()
                    # update outputs
                    for output in cmpt_object.get_dynamic_outputs():
                        output.update()
                else:
                    if self._component_is_duplicated(cmpt_object):
                        raise ValueError("Component " + cmpt_object.__class__.__name__ + " with prefix " + 
                                            cmpt_object.prefix + " already exist in this pipeline!")
                    self.component_nameids[cmpt_object.get_nameid()] = None
                    self.components_to_exec = []
                    self.components = []
            else:
                if self.component_nameids_is_init:
                    # add the component
                    self.components_to_exec.append(cmpt_object)
                    self.components.append(cmpt_object)
                elif not self.component_nameids_is_init and not self.dynamic_component_present:
                    if self._component_is_duplicated(cmpt_object):
                        raise ValueError("Component " + cmpt_object.__class__.__name__ + " with prefix " + 
                                            cmpt_object.prefix + " already exist in this pipeline!")
                    self.components_to_exec.append(cmpt_object)
                    self.components.append(cmpt_object)
                else:
                    if self._component_is_duplicated(cmpt_object):
                        raise ValueError("Component " + cmpt_object.__class__.__name__ + " with prefix " + 
                                            cmpt_object.prefix + " already exist in this pipeline!")
                    self.component_nameids[cmpt_object.get_nameid()] = None

            return cmpt_object
        else:
            raise ImportError(component_name + " component cannot be loaded, available components are: {0}".format(", ".join(self.comp_pckg.keys())))
    
    def pre_process(self):
        pass
    
    def process(self):
        """ 
        Run the workflow, has to be implemented by subclasses
        """
        raise NotImplementedError( "Workflow.process() must be implemented in " + self.__class__.__name__ )

    def get_name(self):
        """ 
        Return the workflow name.
        """
        return self.__class__.__name__.lower()
    
    def get_description(self):
        """ 
        Return the workflow description, has to be implemented by subclasses
        """
        raise NotImplementedError( "Workflow.get_description() must be implemented in " + self.__class__.__name__ )
    
    def define_parameters(self, function="process"):
        """ 
        Define the workflow parameters, has to be implemented by subclasses
        """
        raise NotImplementedError( "Workflow.define_parameters() must be implemented in " + self.__class__.__name__ )
    
    def post_process(self):
        pass
    
    def get_temporary_file(self, suffix=".txt"):
        tempfile_name = os.path.basename(tempfile.NamedTemporaryFile(suffix=suffix).name)
        return os.path.join(self.jflow_config_reader.get_tmp_directory(), tempfile_name)

    def get_component_output_directory(self, component_name, component_prefix):
        return os.path.join(self.directory, component_name + "_" + component_prefix)
    
    def get_components_nameid(self):
        return self.component_nameids.keys()
    
    def wf_execution_wrapper(self):
        getattr(self, self.function)()
    
    def run(self):
        """
        Only require for Threading
        """
        try:
            # if this is the first time the workflow run
            if self.step == None :
                self.start_time = time.time()
                self.step = 0
                self.status = self.STATUS_STARTED
                self.end_time = None
                # if some args are provided, let's fill the parameters
                self._set_parameters(self.args)
                self._serialize()
            # if pre_processing has not been done yet
            if self.step == 0:
                self.pre_process()
                self.step = 1
                self._serialize()
            # if collecting components and running workflow has not been done yet
            if self.step == 1:
                try:
                    self.reseted_components = []
                    self.components = []
                    self.status = self.STATUS_STARTED
                    self.wf_execution_wrapper()
                except SystemExit, e: 
                    self.status = self.STATUS_FAILED
                    self.end_time = time.time()
                    self._serialize()
                    self._send_email()
                    raise
                self.component_nameids_is_init = True
                if self.dynamic_component_present:
                    self.step = 2
                else:
                    self._execute_weaver()
                    self.step = 3
                self._serialize() 
            # if the workflow was a dynamic one
            if self.step == 2:
                try:
                    self.reseted_components = []
                    self.components = []
                    self.status = self.STATUS_STARTED
                    self.wf_execution_wrapper()
                except SystemExit, e: 
                    self.status = self.STATUS_FAILED
                    self.end_time = time.time()
                    self._serialize()
                    self._send_email()
                    raise
                if len(self.components_to_exec) > 0:
                    self._execute_weaver()
                self.step = 3
                self._serialize()
            # if post processing has ne been done yet
            if self.step == 3:
                self.post_process()
                if self.status == self.STATUS_STARTED: self.status = self.STATUS_COMPLETED
                self.end_time = time.time()
                self._serialize()
                self._send_email()
        except:
            logging.getLogger("wf." + str(self.id)).exception("RunWorflowException")
            raise

    def _update_status_from_log(self):
        # first update the status from weaver folders
        # TODO update self.end_time
        try:
            working_directory = os.path.join(self.directory, self.WORKING)
            make_states = []
            for wdir in os.listdir(working_directory):
                log_path = os.path.join(working_directory, wdir, self.MAKEFLOW_LOG_FILE_NAME)
                log = MakeflowLog(log_path)
                log.parse()
                make_states.append(log.state)
            if len(self.reseted_components) > 0:
                self.status = self.STATUS_RESETED
            elif self.STATUS_ABORTED in make_states:
                self.status = self.STATUS_ABORTED
            elif self.STATUS_FAILED in make_states:
                self.status = self.STATUS_FAILED
            elif self.status != self.STATUS_COMPLETED:
                self.status = self.STATUS_STARTED
        except: pass
        self._serialize()

    def get_status(self):
        self._update_status_from_log()
        return self.status
    
    def get_resource(self, resource):
        return self.jflow_config_reader.get_resource(resource)
    
    def get_component_status(self, component_nameid):
        status = {"time": 0.0,
                  "tasks": 0,
                  "waiting": 0,
                  "running": 0,
                  "failed":0,
                  "aborted": 0,
                  "completed": 0,
                  "failed_commands": list() }
        if component_nameid not in self.reseted_components:
            try:
                log = MakeflowLog(self.component_nameids[component_nameid])
                log.parse()
                symbols = set(n.symbol for n in log.nodes if n.symbol)
                if not symbols: return None
                for n in log.nodes:
                    if not n.symbol: continue
                    if n.symbol == component_nameid:
                        status["tasks"] += 1
                        status["time"]  += n.elapsed_time
                        if n.state == Node.WAITING:
                            status["waiting"] += 1
                        elif n.state == Node.RUNNING:
                            status["running"] += 1
                        elif n.state == Node.FAILED:
                            status["failed"] += 1
                            status["failed_commands"].append( n.command )
                        elif n.state == Node.ABORTED:
                            status["aborted"] += 1
                        elif n.state == Node.COMPLETED:
                            status["completed"] += 1
            except: pass
        return status
    
    def reset_component(self, component_name):
        # first reinit the step to the execution step
        self.step = 1
        found = False
        for cpt in self.components:
            if cpt.get_nameid() == component_name:
                cpt.reset()
                found = True
        if not found:
            utils.display_error_message("Impossible to reset component '" + component_name + "'! This one is not part of the workflow")
        self.reseted_components.append(component_name)
        self.status = self.STATUS_RESETED
        self._serialize()
    
    def minimize(self):
        compts_status = {}
        for i, component in enumerate(self.get_components_nameid()):
            compts_status[component] = self.get_component_status(component)
        return MINIWorkflow(self.id, self.name, self.description, self.get_status(), self.start_time, 
                            self.end_time, self.metadata, self.get_components_nameid(), compts_status, 
                            self.get_errors())
    
    def makeflow_pretty_print_node(self, dag, node):
        sys.stdout.write('{0:>10} {1} {2}\n'.format('NODE', node.id, node.symbol))
        
        for output_file in sorted(node.output_files):
            sys.stdout.write('{0:>10} {1:>10} {2}\n'.format('', 'OUTPUT', output_file))
    
        for input_file in sorted(node.input_files):
            sys.stdout.write('{0:>10} {1:>10} {2}\n'.format('', 'INPUT', input_file))
            
        sys.stdout.write('{0:>10} {1:>10} {2}\n'.format('', 'COMMAND', node.command))

    def _execute_weaver(self, engine_wrapper=None):
        # Add nest path and path to script to Python module path to allow
        # for importing modules outside of $PYTHONPATH
        make_directory, new_make = self._get_current_make()
        current_working_directory = os.path.join(os.path.join(self.directory, self.WORKING), make_directory)
        sys.path.insert(0, os.path.abspath(os.path.dirname(current_working_directory)))

        # Load built-ins
        self._import('abstraction', ABSTRACTIONS)
        self._import('dataset', DATASETS)
        self._import('function', FUNCTIONS)
        self._import('nest', NESTS)
        self._import('options', OPTIONS)
        self._import('stack', STACKS)
                
        # Execute nest
        with Nest(current_working_directory, wrapper=engine_wrapper, path=self.jflow_config_reader.get_makeflow_path()) as nest:
            with self.options:
                if new_make:
                    try:
                        for component in self.components_to_exec:
                            nest.symbol = component.get_nameid()
                            nest.batch = component.batch_options
                            self.component_nameids[component.get_nameid()] = os.path.join(current_working_directory, self.MAKEFLOW_LOG_FILE_NAME)
                            component.execute()
                        # create the DAG
                        nest.compile()
                    except Exception as e:
                        self.status = self.STATUS_FAILED
                        self.end_time = time.time()
                        self._serialize()
                        raise
                self.components_to_exec = []  
                # Once a weaver script is compiled, serialize the workflow
                self._serialize()
                try:
                    nest.execute(self.engine_arguments, exit_on_failure=True)
                except:
                    self.status = self.STATUS_FAILED
                    self.end_time = time.time()
                    self._serialize()
                    raise

    def _get_current_make(self):
        current_component, make_directory, new_make = [], None, False
        for component in self.components_to_exec:
            current_component.append(component.get_nameid())
        for make in self.makes:
            if set(current_component) == set(self.makes[make]):
                make_directory = make
        # If the components in the queue have already been compiled
        if make_directory is None:
            make_directory = uuid.uuid4().hex[:10]
            self.makes[make_directory] = current_component
            new_make = True
        return [make_directory, new_make]
    
    def _serialize(self):
        self.dump_path = os.path.join(self.directory, self.DUMP_FILE_NAME)
        workflow_dump = open(self.dump_path, "wb")
        pickle.dump(self, workflow_dump)
        workflow_dump.close()

    def _component_is_duplicated(self, component):
        if component.get_nameid() in self.component_nameids.keys():
            return True
        return False

    def _get_property_path(self):
        """ 
        Return(type:string):  the path to the workflow properties file, None if does not exist
        """
        property_file = os.path.join(os.path.dirname(inspect.getfile(self.__class__)), self.PROPERTIES_FILE_NAME)
        return property_file if os.path.isfile(property_file) else None

    def _import_components(self):
        pckge = {}
        # then import pipeline packages
        pipeline_dir = os.path.dirname(inspect.getfile(self.__class__))
        for importer, modname, ispkg in pkgutil.iter_modules([os.path.join(pipeline_dir, "components")], "workflows." + 
                                                             os.path.basename(pipeline_dir) + ".components."):
            try:
                m = __import__(modname)
                for class_name, obj in inspect.getmembers(sys.modules[modname], inspect.isclass):
                    if issubclass(obj, jflow.component.Component) and obj.__name__ != jflow.component.Component.__name__:
                        pckge[class_name] = modname
            except Exception as e:
                logging.getLogger("Workflow._import_components").debug("Component <{0}> cannot be loaded: {1}".format(modname, e))
        # finally import workflows shared packages
        workflows_dir = os.path.dirname(os.path.dirname(inspect.getfile(self.__class__)))
        for importer, modname, ispkg in pkgutil.iter_modules([os.path.join(workflows_dir, "components")], "workflows.components."):
            try:
                m = __import__(modname)
                for class_name, obj in inspect.getmembers(sys.modules[modname], inspect.isclass):
                    if issubclass(obj, jflow.component.Component) and obj.__name__ != jflow.component.Component.__name__:
                        pckge[class_name] = modname
            except Exception as e:
                logging.getLogger("Workflow._import_components").debug("Component <{0}> cannot be loaded: {1}".format(modname, e))
        return pckge

    def _import(self, module, symbols):
        """ Import ``symbols`` from ``module`` into global namespace. """
        # Import module
        m = 'weaver.{0}'.format(module)
        m = __import__(m, self.globals, self.globals, symbols, -1)

        # Import symbols from module into global namespace, which we store as
        # an attribute for later use (i.e. during compile)
        for symbol in symbols:
            self.globals[symbol] = getattr(m, symbol)