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Create chat, and finalises the dashboard API, #68
Moves the websocket handler from main.go to its own package, chat. Move the logs for the dashboard and the chat to their own packages.
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,123 @@ | ||
package chat | ||
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import ( | ||
"encoding/json" | ||
"fmt" | ||
"net/http" | ||
"reflect" | ||
"time" | ||
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"github.com/olivia-ai/olivia/network" | ||
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"github.com/gookit/color" | ||
"github.com/gorilla/websocket" | ||
"github.com/olivia-ai/olivia/analysis" | ||
"github.com/olivia-ai/olivia/user" | ||
"github.com/olivia-ai/olivia/util" | ||
gocache "github.com/patrickmn/go-cache" | ||
) | ||
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var ( | ||
// Create the neural network variable to use it everywhere | ||
neuralNetwork network.Network | ||
// Initiatizes the cache with a 5 minute lifetime | ||
cache = gocache.New(5*time.Minute, 5*time.Minute) | ||
) | ||
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// Configure the upgrader | ||
var upgrader = websocket.Upgrader{ | ||
CheckOrigin: func(r *http.Request) bool { | ||
return true | ||
}, | ||
} | ||
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// RequestMessage is the structure that uses entry connections to chat with the websocket | ||
type RequestMessage struct { | ||
Content string `json:"content"` | ||
Token string `json:"user_token"` | ||
Information user.Information `json:"information"` | ||
} | ||
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// ResponseMessage is the structure used to reply to the user through the websocket | ||
type ResponseMessage struct { | ||
Content string `json:"content"` | ||
Tag string `json:"tag"` | ||
Information user.Information `json:"information"` | ||
} | ||
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// Serve serves the websocket in the given port | ||
func Serve(_neuralNetwork network.Network, port string) { | ||
// Set the current global network as a global variable | ||
neuralNetwork = _neuralNetwork | ||
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http.HandleFunc("/", Handle) | ||
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magenta := color.FgMagenta.Render | ||
fmt.Printf("\nChat Websocket listening on the port %s...\n", magenta(port)) | ||
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// Serves the chat | ||
err := http.ListenAndServe(":"+port, nil) | ||
if err != nil { | ||
panic(err) | ||
} | ||
} | ||
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// Handle manages the entry connections and reply with the neural network | ||
func Handle(w http.ResponseWriter, r *http.Request) { | ||
conn, _ := upgrader.Upgrade(w, r, nil) | ||
fmt.Println(color.FgGreen.Render("A new connection has been opened")) | ||
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for { | ||
// Read message from browser | ||
msgType, msg, err := conn.ReadMessage() | ||
if err != nil { | ||
continue | ||
} | ||
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// Unserialize the json content of the message | ||
var request RequestMessage | ||
if err = json.Unmarshal(msg, &request); err != nil { | ||
continue | ||
} | ||
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// Set the informations from the client into the cache | ||
if reflect.DeepEqual(user.GetUserInformation(request.Token), user.Information{}) { | ||
user.SetUserInformation(request.Token, request.Information) | ||
} | ||
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// Write message back to browser | ||
response := Reply(request) | ||
if err = conn.WriteMessage(msgType, response); err != nil { | ||
continue | ||
} | ||
} | ||
} | ||
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// Reply takes the entry message and returns an array of bytes for the answer | ||
func Reply(request RequestMessage) []byte { | ||
var responseSentence, responseTag string | ||
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// Send a message from res/messages.json if it is too long | ||
if len(request.Content) > 500 { | ||
responseTag = "too long" | ||
responseSentence = util.GetMessage(responseTag) | ||
} else { | ||
responseTag, responseSentence = analysis.NewSentence( | ||
request.Content, | ||
).Calculate(*cache, neuralNetwork, request.Token) | ||
} | ||
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// Marshall the response in json | ||
response := ResponseMessage{ | ||
Content: responseSentence, | ||
Tag: responseTag, | ||
Information: user.GetUserInformation(request.Token), | ||
} | ||
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bytes, err := json.Marshal(response) | ||
if err != nil { | ||
panic(err) | ||
} | ||
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return bytes | ||
} |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,129 +1,22 @@ | ||
package main | ||
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import ( | ||
"encoding/json" | ||
"fmt" | ||
"net/http" | ||
"os" | ||
"reflect" | ||
"time" | ||
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"github.com/olivia-ai/olivia/chat" | ||
"github.com/olivia-ai/olivia/dashboard" | ||
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"github.com/gookit/color" | ||
"github.com/gorilla/websocket" | ||
"github.com/olivia-ai/olivia/analysis" | ||
"github.com/olivia-ai/olivia/training" | ||
"github.com/olivia-ai/olivia/user" | ||
"github.com/olivia-ai/olivia/util" | ||
gocache "github.com/patrickmn/go-cache" | ||
) | ||
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var ( | ||
model = training.CreateNeuralNetwork() | ||
cache = gocache.New(5*time.Minute, 5*time.Minute) | ||
// Initialize the neural network by training it | ||
neuralNetwork = training.CreateNeuralNetwork() | ||
) | ||
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// Configure the upgrader | ||
var upgrader = websocket.Upgrader{ | ||
CheckOrigin: func(r *http.Request) bool { | ||
return true | ||
}, | ||
} | ||
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type RequestMessage struct { | ||
Content string `json:"content"` | ||
Token string `json:"user_token"` | ||
Information user.Information `json:"information"` | ||
} | ||
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type ResponseMessage struct { | ||
Content string `json:"content"` | ||
Tag string `json:"tag"` | ||
Information user.Information `json:"information"` | ||
} | ||
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func main() { | ||
http.HandleFunc("/", Handle) | ||
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port := "8080" | ||
if os.Getenv("PORT") != "" { | ||
port = os.Getenv("PORT") | ||
} | ||
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magenta := color.FgMagenta.Render | ||
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// Serve the REST API inside a go routine | ||
go func() { | ||
fmt.Printf("Dashboard API listening on the port %s...\n", magenta(8081)) | ||
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// Serve the API | ||
dashboard.Serve(model) | ||
dashboard.Serve(neuralNetwork, "8081") | ||
}() | ||
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fmt.Printf("\nChat Websocket listening on the port %s...\n", magenta(port)) | ||
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// Serves the websocket | ||
err := http.ListenAndServe(":"+port, nil) | ||
if err != nil { | ||
panic(err) | ||
} | ||
} | ||
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func Handle(w http.ResponseWriter, r *http.Request) { | ||
conn, _ := upgrader.Upgrade(w, r, nil) | ||
fmt.Println(color.FgGreen.Render("A new connection has been opened")) | ||
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for { | ||
// Read message from browser | ||
msgType, msg, err := conn.ReadMessage() | ||
if err != nil { | ||
continue | ||
} | ||
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// Unserialize the json content of the message | ||
var request RequestMessage | ||
if err = json.Unmarshal(msg, &request); err != nil { | ||
continue | ||
} | ||
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// Set the informations from the client into the cache | ||
if reflect.DeepEqual(user.GetUserInformation(request.Token), user.Information{}) { | ||
user.SetUserInformation(request.Token, request.Information) | ||
} | ||
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// Write message back to browser | ||
response := Reply(request) | ||
if err = conn.WriteMessage(msgType, response); err != nil { | ||
continue | ||
} | ||
} | ||
} | ||
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func Reply(request RequestMessage) []byte { | ||
var responseSentence, responseTag string | ||
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// Send a message from res/messages.json if it is too long | ||
if len(request.Content) > 500 { | ||
responseTag = "too long" | ||
responseSentence = util.GetMessage(responseTag) | ||
} else { | ||
responseTag, responseSentence = analysis.NewSentence( | ||
request.Content, | ||
).Calculate(*cache, model, request.Token) | ||
} | ||
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// Marshall the response in json | ||
response := ResponseMessage{ | ||
Content: responseSentence, | ||
Tag: responseTag, | ||
Information: user.GetUserInformation(request.Token), | ||
} | ||
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bytes, err := json.Marshal(response) | ||
if err != nil { | ||
panic(err) | ||
} | ||
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return bytes | ||
// Serves the chat | ||
chat.Serve(neuralNetwork, "8080") | ||
} |
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