Full completed project

depricated/server/recomend-old.py

@@ -0,0 +1,132 @@
+from modules.user import info as user_info
+from modules.algorithms.univ import dict_key_verify
+from modules.algorithms.uuid import hash_string
+
+class User():
+    def __init__(self, username, origin=False):
+        self.username = username
+        self.friends = user_info.friend(username=username)
+        self.origin = origin
+
+        self.exclude = []
+        self.count = 1
+        self.depth = 0
+        self.score = 0
+
+        self.friend_list = []
+
+    def find_friends(self, exclude=[], **kwargs):
+        self.exclude += exclude
+        friends = self.friends.get()
+        if dict_key_verify(friends, "friends"):
+            self.__organise_friends(friends['friends'])
+
+        self.__find_excluded()
+
+    def __organise_friends(self, friends, **kwargs):
+        for friend in friends:
+            if friend['username'] not in self.exclude:
+                self.friend_list.append(User(friend['username']))
+
+    def __find_excluded(self):
+        if self.username not in self.exclude:
+            self.exclude.append(self.username)
+        if self.origin:
+            self.exclude = self.exclude + [friend.username for friend in self.friend_list]
+            requests = self.friends.get_requests()
+            print(f"requests: {requests}")
+            if dict_key_verify(requests, "requests"):
+                self.exclude = self.exclude + [request for request in requests["requests"]]
+                print(f"EXCLUDED: {self.exclude}")
+
+    def __hash__(self):
+        obj_hash = hash_string(self.username)
+        return obj_hash
+
+class Graph():
+    def __init__(self, username):
+        self.origin_user = User(username, True)
+        self.graph = [[]] * (10**7+7)
+
+        self.friend_directory = [None] * (10**7+7)
+        self.friend_directory[hash(self.origin_user)] = self.origin_user
+        self.exclude = []
+
+    def generate(self, depth=1):
+        self.__add_user_friends(self.origin_user, self.origin_user, depth)
+
+    def __add_user_friends(self, origin, source, depth):
+        origin.find_friends(self.exclude + [source.username])
+        if hash(self.origin_user) == hash(origin):
+            self.exclude += origin.exclude
+
+        for friend in origin.friend_list:
+            friend_hash = hash(friend)
+            self.__add_edge(hash(origin), friend_hash)
+            if self.friend_directory[friend_hash]:
+                self.friend_directory[friend_hash].count += 1
+                self.friend_directory[friend_hash].depth += depth
+            else:
+                self.friend_directory[friend_hash] = friend
+
+            if depth-1 > 0:
+                self.__add_user_friends(friend, origin, depth-1)
+
+    def __add_edge(self, node, edge):
+        self.graph[node] = self.graph[node] + [edge]
+
+
+    def dft(self):
+        self.visted = []
+        self.edge_stack = [hash(self.origin_user)]
+        self.edge_queue = [hash(self.origin_user)]
+
+        self.__visit(self.edge_stack[0])
+
+    def __visit(self, origin):
+        start_pos = self.graph[origin]
+        self.__on_visit(origin)
+
+        self.edge_stack.pop(len(self.edge_stack)-1)
+        self.visted.append(origin)
+
+        for neigbour in start_pos:
+            if neigbour not in self.visted and neigbour not in self.edge_stack:
+                self.edge_stack.append(neigbour)
+
+        while len(self.edge_stack) > 0:
+            i = len(self.edge_stack) - 1
+            self.__visit(self.edge_stack[i])
+
+    def __on_visit(self, origin):
+        origin_obj = self.friend_directory[origin]
+        origin_obj.score += origin_obj.depth
+
+    def recomend_friends(self):
+        self.recomendations = []
+        while len(self.recomendations) != len(self.visted):
+            largest = User(username="")
+            largest.score = -1
+            for friend in self.visted:
+                friend_obj = self.friend_directory[friend]
+                if friend_obj not in self.recomendations and friend_obj.score > largest.score:
+                    largest = friend_obj
+            self.recomendations.append(largest)
+
+def recomend_friend(amount=1, depth=1):
+    if depth not in [1, 2, 3, 4]:
+        depth = 4
+    friend_graph = Graph("user1")
+    friend_graph.generate(depth)
+    friend_graph.dft()
+    friend_graph.recomend_friends()
+
+    recomended = [{'username': recomended.username} for recomended in friend_graph.recomendations[:amount]]
+    print(recomended)
+    return recomended
+
+def main():
+    recomend_friend(3, 4)
+
+if __name__ == "__main__":
+    main()