def update_graph_context(updates, update_count=False):
if update_count:
for x in updates:
context_vector = x['updated_context']
unit_context_vector = context_vector / np.linalg.norm(
context_vector)
collection.update_one(
{
'word': x['word'],
'connection': x['connection']
}, {
'$set': {
'context': list(unit_context_vector),
'update_count': x['update_count'] + 1
}
})
else:
for x in updates:
context_vector = x['updated_context']
unit_context_vector = context_vector / np.linalg.norm(
context_vector)
collection.update_one(
{
'word': x['word'],
'connection': x['connection']
}, {'$set': {
'context': list(unit_context_vector)
}})
def release_lock(self):
for connection in self.sub_graph:
collection.update_one(
{
'word': connection[0],
'connection': connection[1]
}, {'$set': {
'lock': False
}})
def set_lock(self):
for connection in self.sub_graph:
collection.update_one(
{
'word': connection[0],
'connection': connection[1]
}, {'$set': {
'lock': True
}})
def unlock_graph():
locked_nodes = list(collection.find({'lock': True}))
for node in locked_nodes:
collection.update_one(
{
'word': node['word'],
'connection': node['connection']
}, {'$set': {
'lock': False
}})
def update_note(user_id):
body = ast.literal_eval(json.dumps(request.get_json()))
records_updated = collection.update_one({"id": int(user_id)}, body)
if records_updated.modified_count > 0:
return "", 200
else:
return "", 404
def update_graph_node(updates):
for x in updates:
update_vector = x['update_vector']
weight_vector = x['weight_vector']
unit_update_vector = update_vector / np.linalg.norm(update_vector)
unit_weight_vector = weight_vector / np.linalg.norm(weight_vector)
collection.update_one(
{
'word': x['word'],
'connection': x['connection']
}, {
'$set': {
'update_vector': list(unit_update_vector),
'weight_vector': list(unit_weight_vector)
}
})
def mongo_update(search: Dict, newData: Dict):
collection.update_one(search, {"$set": newData})
collection.delete_one(search)
def mongo_read():
results = collection.find()
for r in results:
print(r)
def mongo_query(search: Dict):
results = collection.find(search)
for r in results:
print(r)
if __name__ == '__main__':
# Nota si las pruebas se hacen desde WSL mongodb tiene que estar instalado en esa maquina virtual, esto solo aplica en windows
document = {"_id": 4, "name": "mouse", "price": 300}
# mongo_create(document)
# mongo_read()
#mongo_query({"price": 400})
#mongo_update({"price": 400}, document)
mongo_delete({"_id": 4})
#otros comandos utiles
# para contar los objetos
c = collection.count_documents({})
print(c)
#para incrementar el valor de un dato
i = collection.update_one({"_id": 3}, {"$inc": {"price": 30}})
mongo_read()