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# Source code for fnss.topologies.parsers

    """
    Provides functions to parse topologies from datasets or from outputs of
    other generators.
    """
    import re
    import math

    import networkx as nx

    from fnss.topologies.topology import Topology, DirectedTopology
    from fnss.util import geographical_distance

    __all__ = [
        'parse_rocketfuel_isp_map',
        'parse_rocketfuel_isp_latency',
        'parse_caida_as_relationships',
        'parse_inet',
        'parse_abilene',
        'parse_brite',
        'parse_topology_zoo',
        'parse_ashiip'
              ]

    # Parser for RocketFuel ISP (router-level) maps .cch files
    def parse_rocketfuel_isp_map(path):
        """
        Parse a network topology from RocketFuel ISP map file.

        The ASes provided by the RocketFuel dataset are the following:

        +------+---------------------+-------+--------+------------+------------+
        | ASN  | Name                | Span  | Region | Nodes (r1) | Nodes (r0) |
        +======+=====================+=======+========+============+============+
        | 1221 | Telstra (Australia) | world | AUS    |  2999      |  378 (318) |
        | 1239 | Sprintlink (US)     | world | US     |  8352      |  700 (604) |
        | 1755 | EBONE (Europe)      | world | Europe |   609      |  172       |
        | 2914 | Verio (US)          | world | US     |  7109      | 1013       |
        | 3257 | Tiscali (Europe)    | world | Europe |   855      |  248 (240) |
        | 3356 | Level 3 (US)        | world | US     |  3447      |  652       |
        | 3967 | Exodus (US)         | world | US     |   917      |  215 (201) |
        | 4755 | VSNL (India)        | world | India  |   121      |   12       |
        | 6461 | Abovenet (US)       | world | US     |     0      |  202       |
        | 7018 | AT&T (US)           | world | US     | 10152      |  656 (631) |
        +------+---------------------+-------+--------+------------+------------+

        Parameters
        ----------
        path : str
            The path of the file containing the RocketFuel map. It should have
            extension .cch

        Returns
        -------
        topology : DirectedTopology
            The object containing the parsed topology.

        Notes
        -----
        The returned topology is always directed. If an undirected topology is
        desired, convert it using the DirectedTopology.to_undirected() method.

        Each node of the returned graph has the following attributes:
         * **type**: string
         * **location**: string (optional)
         * **address**: string
         * **r**: int
         * **backbone**: boolean (optional)

        Each edge of the returned graph has the following attributes:
         * type : string, which can either be *internal* or *external*

        If the topology contains self-loops (links starting and ending in the same
        node) they are stripped from the topology.

        Raises
        ------
        ValueError
            If the provided file cannot be parsed correctly.

        Examples
        --------
        >>> import fnss
        >>> topology = fnss.parse_rocketfuel_isp_map('1221.r0.cch')
        """
        topology = DirectedTopology(type='rocket_fuel')
        comment_char = '#'

        for line in open(path, "r").readlines():
            if comment_char in line:
                # split on comment char, keep only the part before
                line, _ = line.split(comment_char, 1)
                line = line.strip()
            if len(line) == 0:
                continue
            #Parse line.
            if line.startswith("-"):
                # Case external node
                # -euid =externaladdress rn
                try:
                    node = int(re.findall("-\d+", line)[0])
                    address = (re.findall("=\S+", line)[0])[1:]  # .strip("=")
                    r = int(re.findall("r\d$", line)[0][1:])  # .strip("r"))
                except IndexError:
                    raise ValueError('Invalid input file. Parsing failed '\
                                     'while trying to parse an external node')
                topology.add_node(node, type='external', address=address, r=r)
            else:
                # Case internal node
                # uid @loc [+] [bb] (num_neigh) [&ext] -> <nuid-1> <nuid-2>
                # ... {-euid} ... =name[!] rn
                try:
                    node = int(re.findall("\d+", line)[0])
                    node_location = re.findall("@\S*", line)[0]
                    node_location = re.sub("[\+@]", "", node_location)
                    r = int(re.findall("r\d$", line)[0][1:])# .strip("r"))
                    address = (re.findall("=\S+", line)[0])[1:]  # .strip("=")
                except IndexError:
                    raise ValueError('Invalid input file. Parsing failed '\
                                     'while trying to parse an internal node')
                internal_links = re.findall("<(\d+)>", line)
                external_links = re.findall("{(-?\d+)}", line)
                backbone = True if len(re.findall("\sbb\s", line)) > 0 \
                           else False
                topology.add_node(node, type='internal',
                                  location=node_location,
                                  address=address, r=r, backbone=backbone)
                for link in internal_links:
                    link = int(link)
                    if node != link:
                        topology.add_edge(node, link, type='internal')
                for link in external_links:
                    link = int(link)
                    if node != link:
                        topology.add_edge(node, link, type='external')
        return topology

    def parse_rocketfuel_isp_latency(latencies_path, weights_path=None):
        """
        Parse a network topology from RocketFuel ISP topology file (latency.intra)
        with inferred link latencies and optionally annotate the topology with
        inferred weights (weights.infra).

        The ASes provided by the RocketFuel dataset are the following:

        +------+---------------------+-------+--------+-------+-------------------+
        | ASN  | Name                | Span  | Region | Nodes | Lrgst conn. comp. |
        +======+=====================+=======+========+=======+===================+
        | 1221 | Telstra (Australia) | world | AUS    |  108  |        104        |
        | 1239 | Sprintlink (US)     | world | US     |  315  |        315        |
        | 1755 | EBONE (Europe)      | world | Europe |   87  |         87        |
        | 3257 | Tiscali (Europe)    | world | Europe |  161  |        161        |
        | 3967 | Exodus (US)         | world | US     |   79  |         79        |
        | 6461 | Abovenet (US)       | world | US     |  141  |        138        |
        +------+---------------------+-------+--------+-------+-------------------+

        Parameters
        ----------
        latencies_path : str
            The path of the file containing the RocketFuel latencies file.
            It should have extension .intra
        weights_path : str, optional
            The path of the file containing the RocketFuel weights file.
            It should have extension .intra

        Returns
        -------
        topology : DirectedTopology
            The object containing the parsed topology.

        Notes
        -----
        The returned topology is directed. It can be converted using the
        DirectedTopology.to_undirected() method if an undirected topology
        is desired.

        Each node of the returned graph has the following attributes:
         * **name**: string
         * **location**: string

        Each edge of the returned graph has the following attributes:
         * **delay** : int
         * **wdights** : float (only if a weights file was specified)

        Raises:
        -------
        ValueError
            If the provided file cannot be parsed correctly

        Examples
        --------
        >>> import fnss
        >>> topology = fnss.parse_rocketfuel_isp_latency('1221.latencies.intra')
        """
        topology = DirectedTopology(type='rocket_fuel', delay_unit='ms')
        comment_char = '#'
        node_dict = dict()
        node_count = 0

        for line in open(latencies_path, "r").readlines():
            if comment_char in line:
                # split on comment char, keep only the part before
                line, _ = line.split(comment_char, 1)
                line = line.strip()
            if len(line) == 0:
                continue
            u_str, v_str, delay = line.split()
            try:
                # Edges endpoints and delay are separated by a space.
                # An edge endpoint generally has the format <location>,<router-name>
                # but there are some endpoints which don't, e.g. London4083 in
                # topology 1239. This function tries first to parse by splitting
                # at the comma. If it fails, then separates number from location.
                # If this also fails, it just keeps the node name as it is.
                try:
                    u_location, u_name = u_str.split(',')
                except ValueError:
                    match = re.match(r"([a-z]+)([0-9]+)", u_str, re.I)
                    if match:
                        u_location, u_name = match.groups()
                    else:
                        u_location = u_name = u_str

                try:
                    v_location, v_name = v_str.split(',')
                except ValueError:
                    match = re.match(r"([a-z]+)([0-9]+)", v_str, re.I)
                    if match:
                        v_location, v_name = match.groups()
                    else:
                        v_location = v_name = v_str

                if delay.isdigit():
                    delay = int(delay)
                else:
                    raise ValueError('Invalid delay value: %s' % delay)
            except ValueError:
                raise ValueError('Invalid latencies file. Parsing failed '\
                                 'while trying to parse an edge')

            if u_str not in node_dict:
                node_dict[u_str] = node_count
                topology.add_node(node_count, location=u_location, name=u_name)
                node_count += 1
            if v_str not in node_dict:
                node_dict[v_str] = node_count
                topology.add_node(node_count, location=v_location, name=v_name)
                node_count += 1

            u = node_dict[u_str]
            v = node_dict[v_str]
            topology.add_edge(u, v, delay=delay)

        if weights_path:
            for line in open(latencies_path, "r").readlines():
                if comment_char in line:
                    # split on comment char, keep only the part before
                    line, _ = line.split(comment_char, 1)
                    line = line.strip()
                if len(line) == 0:
                    continue
                try:
                    u_str, v_str, weight = line.split()
                except ValueError:
                    raise ValueError('Invalid weight file. Parsing failed '\
                                     'while trying to parse an edge')
                if weight.isdigit():
                    weight = float(weight)
                else:
                    raise ValueError('Invalid weight value: %s' % weight)
                try:
                    u = node_dict[u_str]
                    v = node_dict[v_str]
                except KeyError:
                    raise ValueError("The weight file includes edge (%s, %s), "
                                     "which was not included in the latencies file"
                                     % (u_str, v_str))
                topology.edge[u][v]['weight'] = weight
        return topology

    def parse_caida_as_relationships(path):
        """
        Parse a topology from the CAIDA AS relationships dataset

        Parameters
        ----------
        path : str
            The path to the CAIDA AS relationships file

        Returns
        -------
        topology : DirectedTopology

        Notes
        -----
        The node names of the returned topology are the the ASN of the of the AS
        they represent and edges are annotated with the relationship between ASes
        they connect. The relationship values can either be *customer*, *peer* or
        *sibling*.

        References
        ----------
        http://www.caida.org/data/active/as-relationships/
        http://as-rank.caida.org/data/
        """
        topology = DirectedTopology(type='caida_as_relationships')
        comment_char = '#'
        relationships_dict = {-1: 'customer', 0: 'peer', 2: 'sibling'}

        for line in open(path, "r").readlines():
            if comment_char in line:
                # split on comment char, keep only the part before
                line, _ = line.split(comment_char, 1)
                line = line.strip()
            if len(line) == 0:
                continue
            entry = line.split('|')
            try:
                from_as = int(entry[0])
                to_as = int(entry[1])
                relationship = relationships_dict[int(entry[2])]
            except (ValueError, IndexError, KeyError):
                raise ValueError('Invalid input file. Parsing failed while trying'\
                                 ' to parse a line')
            if from_as != to_as:
                topology.add_edge(from_as, to_as, type=relationship)
        return topology

    def parse_inet(path):
        """
        Parse a topology from an output file generated by the Inet topology
        generator

        Parameters
        ----------
        path : str
            The path to the Inet output file

        Returns
        -------
        topology : Topology

        Notes
        -----
        Each node of the returned topology object is labeled with *latitude* and
        *longitude* attributes. These attributes are not expressed in degrees but
        in Kilometers.
        """
        topology = Topology(type='inet', distance_unit='Km')
        lines = open(path, "r").readlines()
        sep = re.compile('[\s\t]')
        first_line = sep.split(lines[0].strip())
        try:
            n_nodes = int(first_line[0])
            n_links = int(first_line[1])
        except (ValueError, IndexError):
            raise ValueError('Invalid input file. '\
                             'Cannot parse the number of nodes and links')
        if len(lines) != 1 + n_nodes + n_links:
            raise ValueError('Invalid input file. '\
                             'It does not have as many lines as expected')
        i = 0
        for line in lines[1:]:
            entry = sep.split(line.strip())
            if i < n_nodes:
                i += 1
                try:
                    node_id = int(entry[0])
                    longitude = int(entry[1])
                    latitude = int(entry[2])
                except (ValueError, IndexError):
                    raise ValueError('Invalid input file. Parsing failed while '\
                                     'trying to parse a node')
                topology.add_node(node_id, latitude=latitude, longitude=longitude)
            else:
                try:
                    u = int(entry[0])
                    v = int(entry[1])
                    weight = int(entry[2])
                    x_u = topology.node[u]['longitude']
                    y_u = topology.node[u]['latitude']
                    x_v = topology.node[v]['longitude']
                    y_v = topology.node[v]['latitude']
                    length = float(math.sqrt((x_v - x_u)**2 + (y_v - y_u)**2))
                except (ValueError, IndexError):
                    raise ValueError('Invalid input file. Parsing failed while '\
                                     'trying to parse a link')
                topology.add_edge(u, v, weight=weight, length=length)
        return topology

    # Ignore external links
    # Node parameters: city, latitude, longitude
    # Link parameters: capacity, weight[, link_index, link_type]
    def parse_abilene(topology_path, links_path=None):
        """
        Parse the Abilene topology.

        Parameters
        ----------
        topology_path : str
            The path of the Abilene topology file
        links_path : str, optional
            The path of the Abilene links file

        Returns
        -------
        topology : DirectedTopology
        """
        topology = DirectedTopology(type='abilene',
                             capacity_unit='kbps',
                             distance_unit='Km')
        comment_char = '#'
        link_type_dict = {0: 'internal', 1: 'inbound', 2: 'outbound'}
        line_type = None
        for line in open(topology_path, "r").readlines():
            if comment_char in line:
                # split on comment char, keep only the part before
                line, _ = line.split(comment_char, 1)
            line = line.strip()
            if len(line) > 0:
                if line == 'router' or line == 'link':
                    line_type = line
                    continue
                if line_type == 'router':
                    node_entry = line.split('\t')
                    try:
                        name = node_entry[0]
                        city = node_entry[1]
                        latitude = float(node_entry[2])
                        longitude = float(node_entry[3])
                    except (ValueError, IndexError):
                        raise ValueError('Invalid input file. Parsing failed '\
                                         'while trying to parse a router')
                    topology.add_node(name, city=city, latitude=latitude,
                               longitude=longitude)
                elif line_type == 'link':
                    sep = re.compile('[\s\t]')
                    link_entry = sep.split(line)
                    try:
                        u = link_entry[0]
                        v = link_entry[1]
                        capacity = int(link_entry[2])
                        lon_u = topology.node[u]['longitude']
                        lat_u = topology.node[u]['latitude']
                        lon_v = topology.node[v]['longitude']
                        lat_v = topology.node[v]['latitude']
                        length = geographical_distance(lat_v, lon_v, lat_u, lon_u)
                        weight = int(link_entry[3])
                    except (ValueError, IndexError):
                        raise ValueError('Invalid input file. Parsing failed '\
                                         'while trying to parse a link')
                    topology.add_edge(u, v, capacity=capacity,
                               weight=weight, length=length)
                else:
                    raise ValueError('Invalid input file. Found a line that '\
                                     'I cannot interpret')
        if links_path:
            for line in open(links_path, "r").readlines():
                if comment_char in line:
                    # split on comment char, keep only the part before
                    line, _ = line.split(comment_char, 1)
                line = line.strip()
                if len(line) > 0:
                    sep = re.compile('[\s\t]')
                    link_entry = sep.split(line)
                    try:
                        u, v = link_entry[0].split(',', 1)
                        if u == '*' or v == '*': # ignore external links
                            continue
                        link_index = int(link_entry[1])
                        link_type = link_type_dict[int(link_entry[2])]
                    except (ValueError, IndexError):
                        raise ValueError('Invalid input file. '\
                                         'Parsing failed while trying to '\
                                         'parse a link from links_file')
                    topology.edge[u][v]['link_index'] = link_index
                    topology.edge[u][v]['link_type'] = link_type
        return topology

    def parse_brite(path, capacity_unit='Mbps', delay_unit='ms',
                    distance_unit='Km', directed=True):
        """
        Parse a topology from an output file generated by the BRITE topology
        generator

        Parameters
        ----------
        path : str
            The path to the BRITE output file
        capacity_unit : str, optional
            The unit in which link capacity values are expresses in the BRITE file
        delay_unit : str, optional
            The unit in which link delay values are expresses in the BRITE file
        distance_unit : str, optional
            The unit in which node coordinates are expresses in the BRITE file
        directed : bool, optional
            If True, the topology is parsed as directed topology.

        Returns
        -------
        topology : Topology or DirectedTopology

        Notes
        -----
        Each node of the returned topology object is labeled with *latitude* and
        *longitude* attributes. These attributes are not expressed in degrees but
        in *distance_unit*.
        """
        # BRITE output format:
        # http://www.cs.bu.edu/brite/user_manual/node29.html
        topology = DirectedTopology() if directed else Topology()
        topology.graph = {'type':'brite', 'capacity_unit':capacity_unit,
                   'delay_unit':delay_unit, 'distance_unit': distance_unit}
        line_type = None
        for line in open(path, "r").readlines():
            if line.startswith('Nodes:'):
                line_type = 'node'
            elif line.startswith('Edges:'):
                line_type = 'edge'
            elif line[0].isdigit():
                elements = line.strip().split("\t")
                if line_type == 'node':
                    # Parse node
                    try:
                        node_id = int(elements[0])
                        longitude = float(elements[1])
                        latitude = float(elements[2])
                        #indegree = int(elements[3])
                        #outdegree = int(elements[4])
                        as_id = int(elements[5])
                        # Node type can be:
                        # AS-only: AS_NODE
                        # Router-only: RT_NODE
                        # Top-down: RT_NODE, RT_BORDER
                        # Bottom-up: RT_NODE
                        node_type = elements[6]
                    except (ValueError, IndexError):
                        raise ValueError('Invalid input file. Parsing failed '\
                                         'while trying to parse a node')
                    topology.add_node(node_id, latitude=latitude,
                                      longitude=longitude, type=node_type)
                    if as_id > 0:
                        topology.node[node_id]['AS'] = as_id
                elif line_type == 'edge':
                    # Parse link
                    try:
                        edge_id = int(elements[0])
                        from_node = int(elements[1])
                        to_node = int(elements[2])
                        length = float(elements[3])
                        delay = float(elements[4])
                        capacity = float(elements[5])
                        #from_as = elements[6]
                        #to_as = elements[7]
                        # Link type can be:
                        # AS-only: E_AS
                        # Router-only: E_RT
                        # Top-down: E_AS, E_RT
                        # bottom-up: E_RT
                        link_type = elements[8]
                    except (ValueError, IndexError):
                        raise ValueError('Invalid input file. Parsing failed '\
                                         'while trying to parse a link')
                    topology.add_edge(from_node, to_node, id=edge_id,
                                      length=length, delay=delay,
                                      capacity=capacity, type=link_type)
                else:
                    continue
        return topology

    def parse_topology_zoo(path):
        """
        Parse a topology from the Topology Zoo dataset.

        Parameters
        ----------
        path : str
            The path to the Topology Zoo file

        Returns
        -------
        topology : Topology or DirectedTopology
            The parsed topology.

        Notes
        -----
        If the parsed topology contains bundled links, i.e. multiple links between
        the same pair or nodes, the topology is parsed correctly but each bundle of
        links is represented as a single link whose capacity is the sum of the
        capacities of the links of the bundle (if capacity values were provided).
        The returned topology has a boolean attribute named *link_bundling* which
        is True if the topology contains at list one bundled link or False
        otherwise. If the topology contains bundled links, then each link has an
        additional boolean attribute named *bundle* which is True if that specific
        link was bundled in the original topology or False otherwise.
        """
        def try_convert_int(value):
            """
            Try to convert a string to an int. If not possible, returns the given
            value unchanged
            """
            if type(value) != int:
                try:
                    value = int(value)
                except ValueError:
                    pass
            return value
        if path.endswith('.gml'):
            topo_zoo_graph = nx.read_gml(path)
        elif path.endswith('.graphml'):
            topo_zoo_graph = nx.read_graphml(path)
        else:
            raise ValueError('Invalid input file format. It must either be a GML '\
                             'or GraphML file (with extensions .gml or .graphml)')
        topology = DirectedTopology() if topo_zoo_graph.is_directed() \
                   else Topology()
        topology.graph['type'] = 'topology_zoo'
        topology.graph['distance_unit'] = 'Km'
        topology.graph['link_bundling'] = True if topo_zoo_graph.is_multigraph() \
                                          else False
        for tv in topo_zoo_graph.nodes_iter():
            v = try_convert_int(tv)
            topology.add_node(v)
            if 'label' in topo_zoo_graph.node[tv]:
                topology.node[v]['label'] = topo_zoo_graph.node[tv]['label']
            try:
                longitude = topo_zoo_graph.node[tv]['Longitude']
                latitude = topo_zoo_graph.node[tv]['Latitude']
                topology.node[v]['longitude'] = longitude
                topology.node[v]['latitude'] = latitude
            except KeyError:
                pass
        for tv, tu in topo_zoo_graph.edges_iter():
            v = try_convert_int(tv)
            u = try_convert_int(tu)
            if u == v:
                continue
            topology.add_edge(v, u)
            if 'Latitude' in topo_zoo_graph.node[tv] and \
                    'Longitude' in topo_zoo_graph.node[tv] and \
                    'Latitude' in topo_zoo_graph.node[tu] and \
                    'Longitude' in topo_zoo_graph.node[tu]:
                lat_v = topo_zoo_graph.node[tv]['Latitude']
                lon_v = topo_zoo_graph.node[tv]['Longitude']
                lat_u = topo_zoo_graph.node[tu]['Latitude']
                lon_u = topo_zoo_graph.node[tu]['Longitude']
                length = geographical_distance(lat_v, lon_v, lat_u, lon_u)
                topology.edge[v][u]['length'] = length
            if topo_zoo_graph.is_multigraph():
                edge = topo_zoo_graph.edge[tv][tu]
                if len(edge) == 1:
                    topology.edge[v][u]['bundle'] = False
                    if 'LinkSpeedRaw' in edge[0]:
                        topology.edge[v][u]['capacity'] = \
                                edge[0]['LinkSpeedRaw']
                else:
                    topology.edge[v][u]['bundle'] = True
                    capacity = 0
                    for edge_attr in list(edge.values()):
                        if 'LinkSpeedRaw' in edge_attr:
                            capacity += edge_attr['LinkSpeedRaw']
                    if capacity > 0:
                        topology.edge[v][u]['capacity'] = capacity
            else:
                if 'LinkSpeedRaw' in topo_zoo_graph.edge[tv][tu]:
                    topology.edge[v][u]['capacity'] = \
                            topo_zoo_graph.edge[tv][tu]['LinkSpeedRaw']
        if len(nx.get_edge_attributes(topology, 'capacity')) > 0:
            topology.graph['capacity_unit'] = 'bps'
        return topology

    def parse_ashiip(path):
        """
        Parse a topology from an output file generated by the aShiip topology
        generator

        Parameters
        ----------
        path : str
            The path to the aShiip output file

        Returns
        -------
        topology : Topology
        """
        topology = Topology(type='ashiip')

        for line in open(path, "r").readlines():
            # There is no documented aShiip format but we assume that if the line
            # does not start with a number it is not part of the topology
            if line[0].isdigit():
                node_ids = re.findall("\d+", line)
                if len(node_ids) < 3:
                    raise ValueError('Invalid input file. Parsing failed while '\
                                     'trying to parse a line')
                node = int(node_ids[0])
                level = int(node_ids[1])
                topology.add_node(node, level=level)
                for i in range(2, len(node_ids)):
                    topology.add_edge(node, int(node_ids[i]))
        return topology

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