step 1: install docker and docker-compose
step 2: Build code with docker compose
docker-compose up --build
step 3: Run
- run server 0.0.0.0:8888
- run phpmyadmin 0.0.0.0:8088
To get info user
- access_token_github = 'abc'
- headers = {'Authorization': 'token {}'.format(access_token_github)}
- url1 = 'https://api.github.com/user'
- url2 = 'https://api.github.com/user/email'
- res1 = requests.get(url1, headers=headers)
- res2 = requests.get(url2, headers=headers)
- print('github', res1.json())
- print('github', res2.json())
- url = 'https://graph.facebook.com/v3.2/me'
- access_token_facebook = 'abc'
- params = {'access_token': access_token_facebook}
- res = requests.get(url, headers=headers, params=params)
- print('facebook', res.json())
- url = 'https://www.googleapis.com/oauth2/v3/userinfo'
- access_token_google = 'abc'
- headers = {'Authorization': 'Bearer {}'.format(access_token_google)}
- res = requests.get(url, headers=headers)
- print('google', res.json())
- all
search = MyModel.objects.all()
search = MyModelDocument.search()
- Filter
queryset = queryset.filter(my_field__icontains=value)
search = search.filter('match_phrase', my_field=value)
queryset = queryset.filter(my_field__exact=value)
search = search.filter('match', my_field=value)
from django.db import models
queryset = queryset.filter(
models.Q(my_field=value) |
models.Q(my_field2=value2)
)
from elasticsearch_dsl.query import Q
search = search.query(
Q('match', my_field=value) |
Q('match', my_field2=value2)
)from datetime import datetime
queryset = queryset.filter(
published_at__lte=datetime.now(),
)
from datetime import datetime
search = search.filter(
'range',
published_at={'lte': datetime.now()}
)aggregation
query = {
"size": 0,
"aggs": {
"avg_field": {
"terms": {
"field": "field_group_by"
},
"aggs": {
"avg_field_name": {
"avg": {
"field": "field_name"
}
},
}
}
}
}
els.search(index=INDEX_ELS, **query)https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-metrics-weight-avg-aggregation.html
- Install
pip install mongoengine==0.27.0
- Connect
connect(host=DATABASE_MONGO_URI)
- Document
from mongoengine import Document, DynamicDocument
from mongoengine import fields
class Collection1(DynamicDocument):
content = fields.StringField()
meta = {
'collection': 'collection',
}
# or
class Collection2(Document):
content = fields.StringField()
meta = {
'collection': 'collection',
'strict': False,
}- Query
# GET
query = Collection1.objects(content=?)
# Create
collection = Collection1(content=?)
collection.save()
# Count
count = Collection1.objects(content=?).count()