move ai python server into seperate repo

Dockerfile

@@ -1,4 +1,4 @@
-# Stage 1: Build the Go application
+# --- Stage 1: Build the Go application ---
 FROM golang:1.23 AS builder
 
 ENV CGO_ENABLED=0
@@ -8,18 +8,19 @@ ENV GOARCH=amd64
 WORKDIR /app
 
 # Copy the Go modules and dependencies
-COPY ./golang/go.mod ./golang/go.sum ./
+COPY ./src/go.mod ./src/go.sum ./
 RUN go mod download
 
 # Copy the source code
-COPY ./golang/cmd ./cmd
-COPY ./golang/assets ./assets
-COPY ./golang/internal ./internal
+COPY ./src/cmd ./cmd
+COPY ./src/assets ./assets
+COPY ./src/internal ./internal
 
 # Build the application
 RUN  go build -o main cmd/frontend/*
 
-# Stage 2: Run the application
+
+# --- Stage 2: Run the application ---
 FROM alpine:latest
 
 ENV DB_HOST="10.99.0.3"
@@ -28,14 +29,12 @@ ENV DB_NAME="crowsnest"
 ENV DB_USER="crow"
 ENV DB_PASS=""
 
-# Set the working directory
 WORKDIR /app
 
 # Copy the built binary from the builder stage
 COPY --from=builder /app/main .
-COPY ./golang/assets ./assets
+COPY ./src/assets ./assets
 
-# Expose the desired port (e.g., 8080)
 EXPOSE 8080
 
 # Command to run the application

Makefile

@@ -0,0 +1,9 @@
+go-run:
+	cd src; DB_USER=crow DB_PASS=4LlKpnQ2RZPzL13BSpkW4k DB_NAME=crowsnest DB_HOST=10.99.0.3 go run cmd/frontend/*
+
+docker-run: docker-build
+	docker run --rm -p 8080:8080 --env DB_PASS="4LlKpnQ2RZPzL13BSpkW4k" git.kohout-dev.de/crowsnest/crowsnest:latest
+
+docker-build:
+	docker build --platform linux/amd64 -t git.kohout-dev.de/crowsnest/crowsnest:latest . \
+		&& docker push git.kohout-dev.de/crowsnest/crowsnest:latest

golang/Makefile

@@ -1,6 +0,0 @@
-serv:
-	DB_USER=crow DB_PASS=4LlKpnQ2RZPzL13BSpkW4k DB_NAME=crowsnest DB_HOST=10.99.0.3 go run cmd/frontend/*
-crawl:
-	DB_USER=crow DB_PASS=4LlKpnQ2RZPzL13BSpkW4k DB_NAME=crowsnest DB_HOST=192.168.0.2 go run cmd/crawler/main.go
-summ:
-	DB_USER=crow DB_PASS=4LlKpnQ2RZPzL13BSpkW4k DB_NAME=crowsnest DB_HOST=192.168.0.2 go run cmd/summarizer/main.go

python/ai_api/main.py

@@ -1,51 +0,0 @@
-from transformers import pipeline
-import psycopg2
-
-# Connect to the School database
-
-def summarize_articles(summfunc):
-    """ Connect to the PostgreSQL database server """
-
-    conn = psycopg2.connect(
-        dbname="crowsnest",
-        user="crow",
-        password="4LlKpnQ2RZPzL13BSpkW4k",
-        host="192.168.0.2"
-    )
-
-    try:
-        # create a cursor
-        cur = conn.cursor()
-
-        for i in range(20):
-            print(i)
-            # execute a statement
-            cur.execute("""
-                SELECT id, content
-                FROM articles 
-		        WHERE aisummary = ''
-                ORDER BY publishDate DESC
-		        LIMIT 20
-            """)
-
-            # display the PostgreSQL database server version
-            keys, contents = list(zip(*cur.fetchall()))
-            
-            for key, summary in zip(keys, summfunc(list(contents))):
-                cur.execute("UPDATE articles SET aisummary = %s WHERE id = %s", (summary, key))
-        
-            conn.commit()
-
-        # close the communication with the PostgreSQL
-        cur.close()
-    except (Exception, psycopg2.DatabaseError) as error:
-        raise error
-    finally:
-        if conn is not None:
-            conn.close()
-            print('Database connection closed.')
-
-
-if __name__ == '__main__':
-    pipe = pipeline("summarization", model="Shahm/bart-german")
-    summarize_articles(lambda x: [str(e["summary_text"]) for e in pipe(x)])