mongodb文档与python dict相似性
closeness的Python项目详细描述
这个包现在支持closeness amoung python dicts
这是project用来查找mongodb文档之间的关系
这将是项目的初始版本
使用方法：
使用pip安装软件包
pip install closeness请参见示例，
from closeness.closeness_aggregation import ClosenessAggregation
from pymongo import MongoClient
client = MongoClient()
db = client.test_database
user_collection = db.user_collection
user1 = {
'name': 'User 1',
'age': 25,
'gender': 'male',
'tags': [
"tag1",
"tag2",
"tag3",
],
'friends': [
{"user_id": "friend1", 'name': "name1"},
{"user_id": "friend2", 'name': "name2"},
{"user_id": "friend3", 'name': "name3"},
]
}
user2 = {
'name': 'User 2',
'age': 25,
'gender': 'male',
'tags': [
"tag1",
"tag2",
"tag3",
],
'friends': [
{"user_id": "friend1", 'name': "name1"},
{"user_id": "friend2", 'name': "name2"},
{"user_id": "friend3", 'name': "name3"},
]
}
user3 = {
'name': 'User 3',
'age': 30,
'gender': 'female',
'tags': [
"tag1",
],
'friends': [
{"user_id": "friend3", 'name': "name3"},
]
}
user_collection.insert([user1, user2, user3])
query_stage = {'$match': {'name': {'$ne': user1['name']}}}
ARRAY_CMP_FIELDS = [
{
'field': 'tags',
'weight': 3
}
]
ARRAY_DICT_CMP_FIELDS = [
{
'field': 'friends',
'unique': 'user_id',
'weight': .5
}
]
STRING_CMP_FIELDS = [
{
'field': 'gender',
'weight': .5
}
]
NUM_CMP_FIELDS = [
{
'field': 'age',
'from': -1,
'to': 1,
'weight': .3
}
]
OUT_PUT_FIELDS = [
'name', 'age'
]
test = ClosenessAggregation(
user1,
query_stage,
OUT_PUT_FIELDS,
limit=10,
ARRAY_CMP_FIELDS=ARRAY_CMP_FIELDS,
STRING_CMP_FIELDS=STRING_CMP_FIELDS,
NUM_CMP_FIELDS=NUM_CMP_FIELDS,
ARRAY_DICT_CMP_FIELDS=ARRAY_DICT_CMP_FIELDS,
)
aggregation_query = test.get_aggregation_pipeline(
mode=ClosenessAggregation.FUZZY
)
result = user_collection.aggregate(aggregation_query)
# {u'ok': 1.0,
# u'result': [{u'age': 25,
# u'_id': ObjectId('55c894dcb67e20612cd6ddf0'),
# u'weights': [{u'gender': 11.627906976744187,
# u'age': 6.9767441860465125,
# u'friends': 11.626615417599819,
# u'tags': 69.75969250559892}],
# u'name': u'User 2',
# u'rank': 99.99095908598945},
# {u'age': 30,
# u'_id': ObjectId('55c894dcb67e20612cd6ddf1'),
# u'weights': [{u'gender': 0,
# u'age': 0,
# u'friends': 6.456076223518085,
# u'tags': 38.73645734110851}],
# u'name': u'User 3',
# u'rank': 45.1925335646266}]}
aggregation_query = closeness_obj.get_aggregation_pipeline(
mode=ClosenessAggregation.SIMPLE
)
result = user_collection.aggregate(aggregation_query)
# {u'ok': 1.0,
# u'result': [{u'age': 25,
# u'_id': ObjectId('55c894dcb67e20612cd6ddf3'),
# u'weights': [{u'gender': 11.627906976744187,
# u'age': 6.9767441860465125,
# u'friends': 11.627906976744187,
# u'tags': 69.76744186046513}],
# u'name': u'User 2',
# u'rank': 100.00000000000001},
# {u'age': 30,
# u'_id': ObjectId('55c894dcb67e20612cd6ddf4'),
# u'weights': [{u'gender': 0,
# u'age': 0,
# u'friends': 3.8759689922480622,
# u'tags': 23.255813953488374}],
# u'name': u'User 3',
# u'rank': 27.131782945736436}]}
# By using python dicts
users = [user2, user3]
closeness_dict_obj = ClosenessDict(
user1,
users,
ARRAY_CMP_FIELDS=ARRAY_CMP_FIELDS,
STRING_CMP_FIELDS=STRING_CMP_FIELDS,
NUM_CMP_FIELDS=NUM_CMP_FIELDS,
ARRAY_DICT_CMP_FIELDS=ARRAY_DICT_CMP_FIELDS,
)
result = closeness_dict_obj.execute(
mode=ClosenessDict.SIMPLE
)
self.assertEqual(
result[0]['closeness']['rank'],
100.00000000000001)
self.assertEqual(
result[1]['closeness']['rank'],
27.131782945736436)
# [{'name': 'User 2',
# 'tags': ['tag1',
# 'tag2',
# 'tag3'],
# 'gender': 'male',
# 'age': 25,
# 'closeness': {'weightages': {'gender': 11.627906976744187,
# 'age': 6.9767441860465125,
# 'friends': 11.627906976744187,
# 'tags': 69.76744186046513},
# 'rank': 100.00000000000001},
# 'friends': ['friend1',
# 'friend2',
# 'friend3']},
# {'name': 'User 3',
# 'tags': ['tag1'],
# 'gender': 'female',
# 'age': 30,
# 'closeness': {'weightages': {'gender': 0.0,
# 'age': 0.0,
# 'friends': 3.8759689922480622,
# 'tags': 23.255813953488374},
# 'rank': 27.131782945736436},
# 'friends': ['friend3']}]
result = closeness_dict_obj.execute(
mode=ClosenessDict.FUZZY
)
self.assertEqual(
result[0]['closeness']['rank'],
100.00000000000001)
self.assertEqual(
result[1]['closeness']['rank'],
45.21963824289406)
# [{'name': 'User 2',
# 'tags': ['tag1',
# 'tag2',
# 'tag3'],
# 'gender': 'male',
# 'age': 25,
# 'closeness': {'weightages': {'gender': 11.627906976744187,
# 'age': 6.9767441860465125,
# 'friends': 11.627906976744187,
# 'tags': 69.76744186046513},
# 'rank': 100.00000000000001},
# 'friends': ['friend1',
# 'friend2',
# 'friend3']},
# {'name': 'User 3',
# 'tags': ['tag1'],
# 'gender': 'female',
# 'age': 30,
# 'closeness': {'weightages': {'gender': 0.0,
# 'age': 0.0,
# 'friends': 6.459948320413436,
# 'tags': 38.75968992248062},
# 'rank': 45.21963824289406},
# 'friends': ['friend3']}]
欢迎加入QQ群-->： 979659372
