set up otel-collector and implement sending to logfire

demos/weather_forecast_logfire/docker-compose.yaml

@@ -0,0 +1,44 @@
+services:
+  weather_forecast_service:
+    build:
+      context: ../shared/weather_forecast_service
+    environment:
+      - OLTP_HOST=http://otel-collector:4317
+    extra_hosts:
+      - "host.docker.internal:host-gateway"
+    ports:
+      - "18083:80"
+
+  chatbot_ui:
+    build:
+      context: ../shared/chatbot_ui
+    ports:
+      - "18080:8080"
+    environment:
+      # this is only because we are running the sample app in the same docker container environment as archgw
+      - CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1
+    extra_hosts:
+      - "host.docker.internal:host-gateway"
+    volumes:
+      - ./arch_config.yaml:/app/arch_config.yaml
+
+  otel-collector:
+    build:
+      context: ./otel-collector
+    ports:
+      - "4317:4317"
+      - "4318:4318"
+    volumes:
+      - ./otel-collector/otel-collector-config.yaml:/etc/otel-collector-config.yaml
+    env_file:
+      - .env
+
+  prometheus:
+    build:
+      context: ../shared/prometheus
+
+  grafana:
+    build:
+      context: ../shared/grafana
+    ports:
+      - "3000:3000"

demos/weather_forecast_logfire/otel-collector/Dockerfile

@@ -0,0 +1,5 @@
+FROM otel/opentelemetry-collector:latest
+
+COPY otel-collector-config.yaml /etc/otel-collector-config.yaml
+
+ENTRYPOINT ["/otelcol", "--config=/etc/otel-collector-config.yaml"]

demos/weather_forecast_logfire/otel-collector/otel-collector-config.yaml

@@ -0,0 +1,24 @@
+receivers:
+  otlp:
+    protocols:
+      grpc:
+        endpoint: 0.0.0.0:4317
+      http:
+        endpoint: 0.0.0.0:4318
+
+exporters:
+  otlphttp:
+    endpoint: "https://logfire-api.pydantic.dev"
+    headers:
+      Authorization: "${LOGFIRE_API_KEY}"
+
+processors:
+  batch:
+    timeout: 5s
+
+service:
+  pipelines:
+    traces:
+      receivers: [otlp]
+      processors: [batch]
+      exporters: [otlphttp]