In [10]:

    

import pymongo


    

In [11]:

    

from pymongo import MongoClient
client = MongoClient()


    

In [12]:

    

db = client.calidad_api


    

In [13]:

    

collection = db['places']


    

In [32]:

    

#Aqui meti los diccionarios de los lugares uno por uno
place = {
"id": "Camp",
"name":"Cerro de la Campana",
"long":"101.13",
"lat":"103.13",
"timezone":"GMT +6",
"level":"station",
"id_country":"MX",
"id_city":"MTY",
}


    

In [33]:

    

places = db.place


    

In [34]:

    

place_id = places.insert_one(place).inserted_id


    

In [40]:

    

for place in places.find():
    print(place)


    

    




{'long': '101.13', 'level': 'station', 'id_country': 'MX', 'id_city': 'CDMX', 'lat': '103.13', '_id': ObjectId('564ea6df3372c318b2aee2d8'), 'id': 'Tac', 'timezone': 'GMT +6', 'name': 'Tacubaya'}
{'timezone': 'GMT +6', 'level': 'city', 'id_country': 'MX', 'lat': '22.22', '_id': ObjectId('564ea7303372c318b2aee2d9'), 'id': 'MTY', 'name': 'Monterrey', 'long': '102.11'}
{'timezone': 'GMT +6', 'level': 'country', 'lat': '22.22', '_id': ObjectId('564ea7463372c318b2aee2da'), 'id': 'MX', 'name': 'México', 'long': '102.11'}
{'timezone': 'GMT +6', 'level': 'city', 'id_country': 'MX', 'lat': '22.22', '_id': ObjectId('564ea75b3372c318b2aee2db'), 'id': 'CDMX', 'name': 'Ciudad de México', 'long': '102.11'}
{'long': '101.13', 'level': 'station', 'id_country': 'MX', 'id_city': 'MTY', 'lat': '103.13', '_id': ObjectId('564ea76d3372c318b2aee2dc'), 'id': 'Camp', 'timezone': 'GMT +6', 'name': 'Cerro de la Campana'}

In [41]:

    

collection = db['methods']


    

In [42]:

    

method = {
    "method_id": "met1",
    "method_short-description":"Esta es una descripción chida",
    "method_protocol":"Pasito 1, Pasito 2, Pasito tun tun",
    "method_device":"Supermaquinón 2"
}


    

In [43]:

    

methods = db.method


    

In [44]:

    

method_id = methods.insert_one(method).inserted_id


    

In [45]:

    

methods.find_one()


    

    
Out[45]:





{'_id': ObjectId('564ea8313372c318b2aee2dd'),
 'method_device': 'Supermaquinón 2',
 'method_id': 'met1',
 'method_protocol': 'Pasito 1, Pasito 2, Pasito tun tun',
 'method_short-description': 'Esta es una descripción chida'}

In [46]:

    

collection = db['pollutants']


    

In [47]:

    

pollutant = {
    "station_id":"Tac",
    "pollutant_id":"CO2",
    "pollutant_unit":"ug",
    "pollutant_update_time":"10/12/2014",
    "pollutant_averaging":"5 min",
    "pollutant_value":"36"
}


    

In [48]:

    

pollutants = db.pollutant


    

In [49]:

    

pollutant_id = pollutants.insert_one(pollutant).inserted_id


    

In [52]:

    

pollutants.find_one()


    

    
Out[52]:





{'_id': ObjectId('564ea9543372c318b2aee2de'),
 'pollutant_averaging': '5 min',
 'pollutant_id': 'CO2',
 'pollutant_unit': 'ug',
 'pollutant_update_time': '10/12/2014',
 'pollutant_value': '36',
 'station_id': 'Tac'}

In [ ]: