Mercurial > hg > WSGraph
annotate wsgraph/model.py @ 38:df2a719a9b6e
stubbing deletion of nodes + edges
| author | Jeff Hammel <jhammel@mozilla.com> |
|---|---|
| date | Mon, 24 Dec 2012 22:57:02 -0800 |
| parents | f17a6577cc0d |
| children | d1e9602145fa |
| rev | line source |
|---|---|
| 28 | 1 |
| 2 import sys | |
| 0 | 3 from abc import abstractmethod |
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4 from copy import deepcopy |
| 15 | 5 from utils import isiterable |
| 0 | 6 |
| 25 | 7 class Graph(object): |
| 28 | 8 """ |
| 9 abstract base class for WSGraph model of a graph | |
| 10 | |
| 11 WSGraph is interacted with by implementing | |
| 12 wsgraph.model.Graph object for a desired interface | |
| 13 """ | |
| 0 | 14 |
| 15 @abstractmethod | |
| 32 | 16 def node(self, name, value=None): |
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17 """ |
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18 get or set a node |
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19 |
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20 When setting a node, a value of `None` will pop the value from |
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21 the nodal values |
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22 """ |
| 11 | 23 # TODO: values should not be **kwargs as you could conceivably want |
| 24 # to set a node or edge to an empty dict | |
| 25 # Instead, should be (self, name, values=None) | |
| 0 | 26 |
| 27 @abstractmethod | |
| 28 def nodes(self): | |
| 29 """returns a list of all nodes""" | |
| 30 | |
| 31 @abstractmethod | |
| 32 | 32 def edge(self, node1, node2, value=None): |
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33 """ |
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34 get or set edge from node1 to node2 |
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35 """ |
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36 |
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37 @abstractmethod |
| 0 | 38 def edges(self): |
| 39 """returns a list of all edges""" | |
| 40 | |
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41 @abstractmethod |
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42 def delete(self, node1, node2=None): |
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43 """ |
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44 delete a node or edge if node2 is given |
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45 If a node is deleted, all edges to it should be deleted |
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46 """ |
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47 |
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48 def __call__(self): |
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49 """ |
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50 returns JSGN format of graph: |
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51 {'nodes': {'node1': {}, |
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52 'node2': {}, ...}, |
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53 'edges': {'node1': {'node2': {}, |
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54 'node3': {}, ...}, |
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55 'node2': {'node1': {}, ...}} |
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56 } |
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57 """ |
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58 retval = {'nodes': {}, 'edges': {}} |
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59 for node in self.nodes(): |
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60 retval['nodes'][node] = self.node(node) |
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61 for node1, node2 in self.edges(): |
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62 retval['edges'].setdefault(node1, {})[node2] = self.edge(node1, node2) |
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63 return retval |
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64 |
| 0 | 65 def __getitem__(self, key): |
| 66 """ | |
| 67 if key is a basestring, return the node of that name; | |
| 68 if key is a 2-tuple/list, return the edge of that name | |
| 69 """ | |
| 70 | |
| 15 | 71 if isinstance(key, basestring) or (not isiterable(key)): |
| 8 | 72 return self.node(key) |
| 73 else: | |
| 74 return self.edge(*key) | |
| 75 | |
| 31 | 76 def __setitem__(self, key, value): |
| 77 if isinstance(key, basestring) or (not isiterable(key)): | |
| 78 self.node(key, value) | |
| 79 else: | |
| 80 key1, key2 = key | |
| 81 self.edge(key1, key2, value) | |
| 82 | |
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parents:
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83 def __delitem__(self, key): |
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df2a719a9b6e
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parents:
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84 if isinstance(key, basestring) or (not isiterable(key)): |
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df2a719a9b6e
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parents:
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85 self.delete(key) |
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df2a719a9b6e
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parents:
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86 else: |
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parents:
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87 key1, key2 = key |
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df2a719a9b6e
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parents:
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88 self.delete(key1, key2) |
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df2a719a9b6e
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parents:
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89 |
| 8 | 90 def __contains__(self, key): |
| 91 """ | |
| 92 if key is ..., returns if that node is in the graph | |
| 93 if key is a 2-tuple/list, returns if the edge is in the graph | |
| 94 """ | |
| 95 # XXX not necessarily the best implementation! | |
| 15 | 96 if isinstance(key, basestring) or (not isiterable(key)): |
| 8 | 97 return key in self.nodes() |
| 98 else: | |
| 99 return tuple(key) in self.edges() | |
| 0 | 100 |
| 15 | 101 |
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102 class DirectedGraph(Graph): |
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103 """mix-in class for directed graphs""" |
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104 # TODO: is this possible without super or other black magicks? |
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105 |
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106 |
| 25 | 107 class MemoryCache(Graph): |
| 15 | 108 """volatile in-memory representation of a graph""" |
| 0 | 109 |
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110 def __init__(self, node_type=dict): |
| 0 | 111 self._edges = {} |
| 112 self._nodes = {} | |
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113 self.node_type = node_type |
| 0 | 114 |
| 32 | 115 def node(self, name, value=None): |
| 116 if value is not None: | |
| 0 | 117 # setter |
| 32 | 118 self._nodes[name] = deepcopy(value) |
| 0 | 119 else: |
| 120 # getter | |
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121 # TODO: deepcopy |
| 34 | 122 return deepcopy(self._nodes.get(name, None)) |
| 0 | 123 |
| 124 def nodes(self): | |
| 125 return self._nodes.keys() | |
| 126 | |
| 32 | 127 def edge(self, node1, node2, value=None): |
| 128 if value is not None: | |
| 0 | 129 # setter |
| 32 | 130 self._edges[(node1, node2)] = deepcopy(value) |
| 131 for node in node1, node2: | |
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132 self._nodes.setdefault(node, self.node_type()) |
| 0 | 133 else: |
| 134 # getter | |
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135 # TODO: deepcopy |
| 34 | 136 return deepcopy(self._edges.get((node1, node2), None)) |
| 0 | 137 |
| 138 def edges(self): | |
| 139 return self._edges.keys() | |
| 25 | 140 |
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141 |
| 25 | 142 class FileCache(MemoryCache): |
| 143 """on-disk JSON file cache""" | |
| 144 | |
| 145 def __init__(self, filename): | |
| 146 self.filename = filename | |
| 147 raise NotImplementedError | |
| 148 | |
| 149 # TODO: CLI entry point to convert from one model to another | |
| 28 | 150 # def main(args=sys.argv[1:]): |