- Chapter I
1.1. General rules - Chapter II
2.1. Rules of the day - Chapter III
3.1. Intro - Chapter IV
4.1. Exercise 00: Loading Data - Chapter V
5.1. Exercise 01: Simplest Interface - Chapter VI
6.1. Exercise 02: Proper API - Chapter VII
7.1. Exercise 03: Closest Restaurants - Chapter VIII
8.1. Exercise 04: JWT
- Your programs should not exit unexpectedly (give an error on valid input). If this happens, your project will be considered non-functional and will receive a 0 in the evaluation.
- We encourage you to create test programs for your project, even though this work doesn't have to be submitted and won't be graded. This will allow you to easily test your work and the work of your peers. You will find these tests particularly useful during your defense. In fact, you are free to use your tests and/or the tests of the peer you are evaluating during your defense.
- Submit your work to your assigned git repository. Only the work in the git repository will be evaluated.
- If your code uses external dependencies, it should use Go Modules to manage them.
- You should only submit
*.gofiles and (in case of external dependencies)go.mod+go.sum. - Your code for this task should be buildable with just
go build. - All input ('page'/'lat'/'long') should be thoroughly validated and never cause an HTTP 500 (only HTTP 400/401 is acceptable, with a meaningful error message, as explained in EX02).
People tend to love some recommendation apps. It helps to avoid thinking too much about what to buy, where to go, and what to eat.
Plus, pretty much everyone has a phone with geolocation. How many times have you tried to find some restaurants in your area for dinner?
Let's think about how these services work and build one of our own, a really simple one, right?
There are many, many different databases on the market. But since we're trying to provide the ability to search for things, let's use Elasticsearch.
Elasticsearch is a full-text search engine built on top of Lucene. It provides an HTTP API, which we will use in this task.
Our provided dataset of restaurants (taken from an Open Data portal) consists of more than 13 thousand restaurants in the area of Moscow, Russia (you can build another similar dataset for any other location you want). Each entry has:
- ID
- Name
- Address
- Phone
- Longitude
- Latitude
Before uploading all entries into the database, let's create an index and a mapping (explicitly specifying data types). Without them, Elasticsearch will try to guess field types based on the documents provided, and sometimes it won't recognize geopoints.
Here are a few links to help you get started:
- https://www.elastic.co/guide/en/elasticsearch/reference/8.4/indices-create-index.html
- https://www.elastic.co/guide/en/elasticsearch/reference/8.4/geo-point.html
Start the database by running ~$ /path/to/elasticsearch/dir/bin/elasticsearch and let's experiment.
For simplicity, let's use "places" as the name for an index and "place" as the name for an entry. You can create an index using cURL like this:
~$ curl -XPUT "http://localhost:9200/places"
But in this task you should use Go's Elasticsearch bindings to do the same thing. The next thing you need to do is provide type mappings for our data. With cURL it will look like this:
~$ curl -XPUT http://localhost:9200/places/place/_mapping?include_type_name=true -H "Content-Type: application/json" -d @"schema.json"
where schema.json looks like this:
{
"properties": {
"name": {
"type": "text"
},
"address": {
"type": "text"
},
"phone": {
"type": "text"
},
"location": {
"type": "geo_point"
}
}
}
Again, assuming the cURL commands are just a reference for self-testing, this action should be performed by the Go program you write.
Now you have a dataset to upload. You should use the Bulk API to do this. All existing Elasticsearch bindings provide wrappers for this, for example here's a good example for an official client. There are also a number of third-party clients, choose which you prefer.
To check yourself, you can use cURL. Like this:
~$ curl -s -XGET "http://localhost:9200/places"
should give you something like this:
{
"places": {
"aliases": {},
"mappings": {
"properties": {
"address": {
"type": "text"
},
"id": {
"type": "long"
},
"location": {
"type": "geo_point"
},
"name": {
"type": "text"
},
"phone": {
"type": "text"
}
}
},
"settings": {
"index": {
"creation_date": "1601810777906",
"number_of_shards": "1",
"number_of_replicas": "1",
"uuid": "4JKa9fgISd6-N130rpNYtQ",
"version": {
"created": "7090299"
},
"provided_name": "places"
}
}
}
}
and querying entry by its ID will look like this:
~$ curl -s -XGET "http://localhost:9200/places/_doc/1"
{
"_index": "places",
"_type": "place",
"_id": "1",
"_version": 1,
"_seq_no": 0,
"_primary_term": 1,
"found": true,
"_source": {
"id": 1,
"name": "SMETANA",
"address": "gorod Moskva, ulitsa Egora Abakumova, dom 9",
"phone": "(499) 183-14-10",
"location": {
"lat": 55.879001531303366,
"lon": 37.71456500043604
}
}
}
Note that the entry with ID=1 may be different from the one in the dataset if you have decided to use goroutines to speed up the process (this is not a requirement for this task, though).
Now let's create an HTML UI for our database. Not much, we just need to render a page with a list of names, addresses, and phones so that users can see it in a browser.
You should abstract your database behind an interface. To just return the list of entries and be able to paginate through them, this interface is enough:
type Store interface {
// returns a list of items, a total number of hits and (or) an error in case of one
GetPlaces(limit int, offset int) ([]types.Place, int, error)
}
There should be no Elasticsearch-related imports in the main package, as all database-related stuff should reside in the db package within your project, and you should only use this interface above to interact with it.
Your HTTP application should run on port 8888, respond with a list of restaurants, and provide a simple pagination over it. So. if you query "http://127.0.0.1:8888/?page=2" (note the page GET param), you should get a page like this:
<!doctype html>
<html>
<head>
<meta charset="utf-8">
<title>Places</title>
<meta name="description" content="">
<meta name="viewport" content="width=device-width, initial-scale=1">
</head>
<body>
<h5>Total: 13649</h5>
<ul>
<li>
<div>Sushi Wok</div>
<div>gorod Moskva, prospekt Andropova, dom 30</div>
<div>(499) 754-44-44</div>
</li>
<li>
<div>Ryba i mjaso na ugljah</div>
<div>gorod Moskva, prospekt Andropova, dom 35A</div>
<div>(499) 612-82-69</div>
</li>
<li>
<div>Hleb nasuschnyj</div>
<div>gorod Moskva, ulitsa Arbat, dom 6/2</div>
<div>(495) 984-91-82</div>
</li>
<li>
<div>TAJJ MAHAL</div>
<div>gorod Moskva, ulitsa Arbat, dom 6/2</div>
<div>(495) 107-91-06</div>
</li>
<li>
<div>Balalaechnaja</div>
<div>gorod Moskva, ulitsa Arbat, dom 23, stroenie 1</div>
<div>(905) 752-88-62</div>
</li>
<li>
<div>IL Pizzaiolo</div>
<div>gorod Moskva, ulitsa Arbat, dom 31</div>
<div>(495) 933-28-34</div>
</li>
<li>
<div>Bufet pri Astrahanskih banjah</div>
<div>gorod Moskva, Astrahanskij pereulok, dom 5/9</div>
<div>(495) 344-11-68</div>
</li>
<li>
<div>MU-MU</div>
<div>gorod Moskva, Baumanskaja ulitsa, dom 35/1</div>
<div>(499) 261-33-58</div>
</li>
<li>
<div>Bek tu Blek</div>
<div>gorod Moskva, Tatarskaja ulitsa, dom 14</div>
<div>(495) 916-90-55</div>
</li>
<li>
<div>Glav Pirog</div>
<div>gorod Moskva, Begovaja ulitsa, dom 17, korpus 1</div>
<div>(926) 554-54-08</div>
</li>
</ul>
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</body>
</html>
A "Previous" link should disappear on page 1 and a "Next" link should disappear on the last page.
IMPORTANT NOTE: You may notice that by default Elasticsearch doesn't allow you to handle pagination for more than 10000 entries. There are two ways to work around this — either use a Scroll API (see the same link on pagination above), or simply increase the limit in the index settings specifically for this task. The latter is acceptable for this task, but not the recommended way to do it in production. The query that will help you set this is below:
~$ curl -XPUT -H "Content-Type: application/json" "http://localhost:9200/places/_settings" -d '
{
"index" : {
"max_result_window" : 20000
}
}'
Also, if the 'page' param is specified with a wrong value (outside [0..last_page] or not numeric), your page should return an HTTP 400 error and plain text with an error description:
Invalid 'page' value: 'foo'.
In the modern world, most applications prefer APIs to plain HTML. So in this exercise, all you need to do is implement another handler that responds with Content-Type: application/json and JSON version of the same thing as in Ex01 (example for http://127.0.0.1:8888/api/places?page=3):
{
"name": "Places",
"total": 13649,
"places": [
{
"id": 65,
"name": "AZERBAJDZhAN",
"address": "gorod Moskva, ulitsa Dem'jana Bednogo, dom 4",
"phone": "(495) 946-34-30",
"location": {
"lat": 55.769830485601204,
"lon": 37.486914061171504
}
},
{
"id": 69,
"name": "Vojazh",
"address": "gorod Moskva, Beskudnikovskij bul'var, dom 57, korpus 1",
"phone": "(499) 485-20-00",
"location": {
"lat": 55.872553383512496,
"lon": 37.538326789741
}
},
{
"id": 70,
"name": "GBOU Shkola № 1411 (267)",
"address": "gorod Moskva, ulitsa Bestuzhevyh, dom 23",
"phone": "(499) 404-15-09",
"location": {
"lat": 55.87213179130298,
"lon": 37.609625999999984
}
},
{
"id": 71,
"name": "Zhigulevskoe",
"address": "gorod Moskva, Bibirevskaja ulitsa, dom 7, korpus 1",
"phone": "(964) 565-61-28",
"location": {
"lat": 55.88024342230735,
"lon": 37.59308635976602
}
},
{
"id": 75,
"name": "Hinkal'naja",
"address": "gorod Moskva, ulitsa Marshala Birjuzova, dom 16",
"phone": "(499) 728-47-01",
"location": {
"lat": 55.79476126986192,
"lon": 37.491709793339744
}
},
{
"id": 76,
"name": "ShAURMA ZhI",
"address": "gorod Moskva, ulitsa Marshala Birjuzova, dom 19",
"phone": "(903) 018-74-64",
"location": {
"lat": 55.794378830665885,
"lon": 37.49112002224252
}
},
{
"id": 80,
"name": "Bufet Shkola № 554",
"address": "gorod Moskva, Bolotnikovskaja ulitsa, dom 47, korpus 1",
"phone": "(929) 623-03-21",
"location": {
"lat": 55.66186417434049,
"lon": 37.58323602169326
}
},
{
"id": 83,
"name": "Kafe",
"address": "gorod Moskva, 1-j Botkinskij proezd, dom 2/6",
"phone": "(495) 945-22-34",
"location": {
"lat": 55.781141341601696,
"lon": 37.55643137063551
}
},
{
"id": 84,
"name": "STARYJ BATUM'",
"address": "gorod Moskva, ulitsa Akademika Bochvara, dom 7, korpus 1",
"phone": "(495) 942-44-85",
"location": {
"lat": 55.8060307318284,
"lon": 37.461669109923506
}
},
{
"id": 89,
"name": "Cheburechnaja SSSR",
"address": "gorod Moskva, Bol'shaja Bronnaja ulitsa, dom 27/4",
"phone": "(495) 694-54-76",
"location": {
"lat": 55.764134959774346,
"lon": 37.60256453956346
}
}
],
"prev_page": 2,
"next_page": 4,
"last_page": 1364
}
Also, if the 'page' param is specified with an incorrect value (outside of [0..last_page] or not numeric), your API should respond with an appropriate HTTP 400 error and similar JSON:
{
"error": "Invalid 'page' value: 'foo'"
}
Now let's implement our main feature — finding three closest restaurants! To do this, you'll need to configure sorting for your query:
"sort": [
{
"_geo_distance": {
"location": {
"lat": 55.674,
"lon": 37.666
},
"order": "asc",
"unit": "km",
"mode": "min",
"distance_type": "arc",
"ignore_unmapped": true
}
}
]
where "lat" and "lon" are your current coordinates. So for a URL like http://127.0.0.1:8888/api/recommend?lat=55.674&lon=37.666, your application should return JSON like this:
{
"name": "Recommendation",
"places": [
{
"id": 30,
"name": "Ryba i mjaso na ugljah",
"address": "gorod Moskva, prospekt Andropova, dom 35A",
"phone": "(499) 612-82-69",
"location": {
"lat": 55.67396575768212,
"lon": 37.66626689310591
}
},
{
"id": 3348,
"name": "Pizzamento",
"address": "gorod Moskva, prospekt Andropova, dom 37",
"phone": "(499) 612-33-88",
"location": {
"lat": 55.673075576456,
"lon": 37.664533747576
}
},
{
"id": 3347,
"name": "KOFEJNJa «KAPUChINOFF»",
"address": "gorod Moskva, prospekt Andropova, dom 37",
"phone": "(499) 612-33-88",
"location": {
"lat": 55.672865251005106,
"lon": 37.6645689561318
}
}
]
}
So the last (but not least) thing we need to do is to provide a simple form of authentication. Currently, one of the most popular ways to implement this for an API is to use JWT. Fortunately, Go has a pretty good set of tools to deal with this.
First, you need to implement an API endpoint http://127.0.0.1:8888/api/get_token whose sole purpose will be to generate a token and return it like this (this is an example, your token will likely be different):
{
"token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhZG1pbiI6dHJ1ZSwiZXhwIjoxNjAxOTc1ODI5LCJuYW1lIjoiTmlrb2xheSJ9.FqsRe0t9YhvEC3hK1pCWumGvrJgz9k9WvhJgO8HsIa8"
}
Don't forget to set the 'Content-Type: application/json' header.
Second, you need to protect your /api/recommend endpoint with JWT middleware that checks the validity of this token.
So by default, when this API is requested from the browser, it should now fail with an HTTP 401 error, but work if Authorization: Bearer <token> header is provided by the client (you can check this using cURL or Postman).
This is the simplest way to provide authentication, no need to go into details for now.