├── .circleci
└── config.yml
├── .gitignore
├── LICENSE
├── README.md
├── project.clj
├── src
└── spark
│ ├── spec_tacular.clj
│ └── spec_tacular
│ ├── datomic.clj
│ ├── datomic
│ ├── coerce.clj
│ ├── deprecated.clj
│ ├── pull_helpers.clj
│ ├── query_helpers.clj
│ └── util.clj
│ ├── generators.clj
│ ├── grammar.clj
│ ├── restify.clj
│ ├── schema.clj
│ └── spec.clj
└── test
└── spark
├── spec_tacular
├── datomic
│ ├── pull_helpers_test.clj
│ ├── pull_test.clj
│ ├── query_helpers_test.clj
│ └── query_test.clj
├── datomic_test.clj
├── grammar_test.clj
├── meta_test.clj
├── readme_test.clj
├── schema_test.clj
├── test_specs.clj
├── test_utils.clj
└── typecheck_test.clj
└── spec_tacular_test.clj
/.circleci/config.yml:
--------------------------------------------------------------------------------
1 | version: 2
2 | jobs:
3 | build:
4 | docker:
5 | - image: circleci/clojure:lein-2.7.1
6 | steps:
7 | - checkout
8 |
9 | #Install & cache dependencies
10 | - restore_cache:
11 | key: sparkfund--{{ .Environment.CIRCLE_PROJECT_REPONAME }}--maven-deps--{{ checksum "project.clj" }}
12 | key: sparkfund--{{ .Environment.CIRCLE_PROJECT_REPONAME }}--maven-deps
13 | - run:
14 | name: List Machine Info
15 | command: java -version; echo; lein --version
16 | - run:
17 | name: Install Dependencies
18 | command: lein deps
19 | - save_cache:
20 | key: sparkfund--{{ .Environment.CIRCLE_PROJECT_REPONAME }}--maven-deps--{{ checksum "project.clj" }}
21 | paths:
22 | - "~/.m2"
23 |
24 | - run:
25 | name: Run Type Checks
26 | command: lein typed check
27 | - run:
28 | name: Run Tests
29 | command: lein test
30 |
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | /target
2 | /classes
3 | /checkouts
4 | pom.xml
5 | pom.xml.asc
6 | *.jar
7 | *.class
8 | /.lein-*
9 | /.nrepl-port
10 | *.iml
11 | /doc
12 |
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
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/README.md:
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1 | #
spec-tacular
2 |
3 | Write spectacular data definitions! Our goal is to make the border
4 | between Clojure and Datomic a more convenient and safe place to live.
5 | [Browse the API](http://sparkfund.github.io/spec-tacular) or continue
6 | scrolling.
7 |
8 | Define your Datomic schemas using spec-tacular's spec DSL and receive
9 | the following in return:
10 |
11 | * **Representation of Datomic entities as maps** that verify (upon
12 | creation and association) that entity attributes have the correct
13 | fields, and in turn, the correct types
14 |
15 | * **Core Typed aliases for each spec**
16 |
17 | * **Specialized query language** with a map-like syntax that allows
18 | queries to be expressed with domain-specific spec keywords instead
19 | of Datomic attribute-keywords. Entities returned from queries are
20 | lazily constructed and can be used in typed code without extra
21 | casts.
22 |
23 | * **Simple transaction interface with Datomic**, using `create!` as a
24 | constructor, and `assoc!` as an update function.
25 |
26 | ***WARNING:*** spec-tacular is not maintained.
27 |
28 | ## Quick Start
29 |
30 | ```clojure
31 | [spec-tacular "0.6.2-SNAPSHOT"] ; unstable
32 | [spec-tacular "0.6.1"]
33 | ```
34 |
35 | ```xml
36 |
37 | spec-tacular
38 | spec-tacular
39 | 0.6.1
40 |
41 | ```
42 |
43 | ## Usage
44 |
45 | ### Creating Specs
46 |
47 | ```clojure
48 | (require '[spark.spec-tacular :as sp :refer [defspec defunion defenum]])
49 | ```
50 |
51 | ```clojure
52 |
53 | ;; Sets up a House entity containing a mandantory color and optionally
54 | ;; a Mailbox. It may also link in any number of Occupants.
55 | (defspec House
56 | (:link [occupants :is-many :Occupant])
57 | [mailbox :is-a :Mailbox]
58 | [color :is-a :Color :required])
59 |
60 | (defenum Color ;; Houses can only be green or orange..
61 | green, orange) ;; makes for interesting neighborhoods
62 |
63 | (defspec Mailbox ;; Hope you don't want to get your mail
64 | [has-mail? :is-a :boolean]) ;; cause mailboxes only know if they have mail
65 |
66 | ;; Specs can have docstrings
67 | (defspec Chimney
68 | "Chimneys are super complicated and require documentation"
69 | (:link [house :is-a House]))
70 | (doc Chimney) ;; Such words
71 |
72 | ;; Houses can be occupied by either People or Pets.
73 | (defunion Occupant :Person :Pet)
74 |
75 | ;; Each Person has a name that serves as an identifying field
76 | ;; (implemented as Datomic's notion of identity), and an age.
77 | (defspec Person
78 | [name :is-a :string :identity :unique]
79 | [age :is-a :long])
80 |
81 | (defunion Pet :Dog :Cat :Porcupine)
82 |
83 | (defspec Dog
84 | [fleas? :is-a :boolean])
85 |
86 | ;; Cats can contain links (passed by reference to the database) to all
87 | ;; the occupants of the house that they hate. For their nefarious
88 | ;; plots, no doubt.
89 | (defspec Cat
90 | [hates :is-many :Occupant :link])
91 |
92 | (defspec Porcupine) ;; No fields, porcupines are boring
93 | ```
94 |
95 | ### Creating Databases
96 | ```clojure
97 | (require '[spark.spec-tacular.schema :as schema])
98 | ```
99 |
100 | ```clojure
101 | ;; Returns a schema with entries for each spec defined in my-ns
102 | (schema/from-namespace *ns*)
103 | ;; => ({:db/id ....,
104 | ;; :db/ident :house/occupants,
105 | ;; :db/valueType :db.type/ref,
106 | ;; :db/cardinality :db.cardinality/many,
107 | ;; ....}
108 | ;; ....)
109 |
110 | ;; Creates a database with the earlier schema installed.
111 | ;; Returns a connection to that database.
112 | (schema/to-database! (schema/from-namespace *ns*))
113 | ;; => #
114 | ```
115 |
116 | ### Changing Databases
117 | ```clojure
118 | (require '[spark.spec-tacular.datomic :as sd])
119 | ```
120 |
121 | ```clojure
122 | ;; Use the House schema to create a database and connection
123 | (def conn-ctx {:conn (schema/to-database! (schema/from-namespace *ns*))})
124 |
125 | ;; Create a green house:
126 | (def h (sd/create! conn-ctx (house {:color :Color/green})))
127 |
128 | ;; Some quick semantics:
129 | (:color h) ;; => :Color/green
130 | (= h (house {:color :Color/green})) ;; => false
131 | (sp/refless= h (house {:color :Color/green})) ;; => true
132 | (assoc h :random-kw 42) ;; => error
133 | (set [h h]) ;; => #{h}
134 | (set [h (house {:color :Color/green})]) ;; => #{h (house {:color :Color/green})}
135 |
136 | ;; Let some people move in:
137 | (def joe (sd/create! conn-ctx (person {:name "Joe" :age 32})))
138 | (def bernard (sd/create! conn-ctx (person {:name "Bernard" :age 25})))
139 |
140 | (def new-h (sd/assoc! conn-ctx h :occupants [joe bernard]))
141 | ;; => assoc! returns a new House with the new field
142 |
143 | h ;; => is still the simple green house
144 | (sd/refresh conn-ctx h) ;; => new-h
145 | ;; In most cases, you can forego the `refresh` and just use the return
146 | ;; value of `assoc!`
147 |
148 | ;; Bernard and Joe get a cat, who hates both of them,
149 | (def zuzu (sd/create! conn-ctx (cat {:hates (:occupants new-h)})))
150 | (sd/assoc! conn-ctx h :occupants (conj (:occupants new-h) zuzu))
151 |
152 | ;; They build a mailbox, and try to put it up in another House:
153 | (let [mb (mailbox {:has-mail? false})
154 | h1 (sd/assoc! conn-ctx h :mailbox mb)
155 | h2 (sd/create! conn-ctx (house {:color :Color/orange :mailbox mb}))]
156 | ;; But since Mailboxes are passed by value,
157 | ;; the Mailbox get duplicated
158 | (= (:mailbox h1) (:mailbox h2)) ;; => false
159 | ....)
160 | ````
161 |
162 | ### Querying Databases
163 | ```clojure
164 | (require '[spark.spec-tacular.datomic :as sd])
165 | ```
166 |
167 | ```clojure
168 |
169 | ;; First let's distinguish the mailboxes -- let's say Joe and Bernard
170 | ;; get some mail
171 | (def mb1 (sd/assoc! conn-ctx (:mailbox h1) :has-mail? true))
172 |
173 | ;; Get the database
174 | (def db (sd/db conn-ctx))
175 |
176 | ;; Use % to look for the only find variable
177 | (sd/q :find [:Mailbox ...] :in db :where [% {:has-mail? false}])
178 | ;; => #{(:mailbox h2)}, the mailbox from house h2
179 | (sd/q :find [:Mailbox ...] :in db :where [% {:has-mail? true}])
180 | ;; => #{mb1}, that's Joe and Bernard's mailbox
181 |
182 | ;; Find the Houses without mail
183 | (sd/q :find [:House ...] :in db :where
184 | [% {:mailbox {:has-mail false}}])
185 | ;; => #{h2}
186 |
187 | ;; Find the House and it's human occupants when the mailbox has mail
188 | ;; Use %1 and %2 to to look for multiple find variables
189 | (sd/q :find :House :Person :in db :where
190 | [%1 {:occupants %2 :mailbox {:has-mail true}}])
191 | ;; => #{[h1 joe] [h2 bernard]}
192 | ```
193 |
194 | This last example means we're looking for any `:occupants` that are
195 | `:Person`s. Even though we represent Datomic's cardinality "many" as
196 | a collection in Clojure, we still use a relation to search for members
197 | of that collection on the database. Those familiar with Datomic may
198 | understand that this part of the query (roughly) expands to
199 |
200 | ```clojure
201 | [.... [?house :house/occupants ?person] ....]
202 | ```
203 |
204 | When we get the result of the query back in Clojure, we take that
205 | result and return it as a set. Onwards!
206 |
207 | ```clojure
208 |
209 | ;; If you want to get the spec name of entities on the database, you
210 | ;; can use the special :spec-tacular/spec keyword. Here we restrict
211 | ;; the occupants to the :Pet spec and then return all kinds of Pet's
212 | ;; that live in houses:
213 | (sd/q :find [:string ...] :in db :where
214 | [:House {:occupants [:Person {:name %}]}])
215 | ;; => #{"Joe" "Bernard"}
216 |
217 | ```
218 |
219 | Although maps work as you would expect in a query, the vector form
220 | `[