fix(query_router): rename query_runner to query_router and fix service configuration

.env.example

@@ -14,4 +14,7 @@ LLM_MODEL=gpt-3.5-turbo
 LLM_API_KEY=your-api-key-here
 LLM_ENGINE_PORT=8001
 
+# Query Router Configuration
+QUERY_ROUTER_PORT=8002
+
 RUST_LOG=debug

.github/workflows/build.yml

@@ -46,7 +46,7 @@ jobs:
           cache-from: type=gha
           cache-to: type=gha,mode=max
 
-  build-query-runner:
+  build-query-router:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout repository
@@ -55,18 +55,18 @@ jobs:
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v2
 
-      - name: Build Query Runner service
+      - name: Build Query Router service
         uses: docker/build-push-action@v4
         with:
-          context: ./query_runner
+          context: ./query_router
           push: false
           load: true
-          tags: lucidata-query-runner:latest
+          tags: lucidata-query-router:latest
           cache-from: type=gha
           cache-to: type=gha,mode=max
 
   system-test:
-    needs: [build-api, build-llm-engine, build-query-runner]
+    needs: [build-api, build-llm-engine, build-query-router]
     runs-on: ubuntu-latest
     steps:
       - name: Checkout repository
@@ -95,20 +95,20 @@ jobs:
           cache-from: type=gha
           outputs: type=docker,dest=/tmp/llm-engine-image.tar
 
-      - name: Download Query Runner image
+      - name: Download Query Router image
         uses: docker/build-push-action@v4
         with:
-          context: ./query_runner
+          context: ./query_router
           load: true
-          tags: lucidata-query-runner:latest
+          tags: lucidata-query-router:latest
           cache-from: type=gha
-          outputs: type=docker,dest=/tmp/query-runner-image.tar
+          outputs: type=docker,dest=/tmp/query-router-image.tar
 
       - name: Load saved images
         run: |
           docker load < /tmp/api-image.tar
           docker load < /tmp/llm-engine-image.tar
-          docker load < /tmp/query-runner-image.tar
+          docker load < /tmp/query-router-image.tar
           docker images
 
       - name: Start services with docker compose

.github/workflows/ci.yml

@@ -62,8 +62,8 @@ jobs:
       working-directory: ./llm_engine
       run: cargo test
 
-  query_runner:
-    name: Query Runner Service
+  query_router:
+    name: Query Router Service
     runs-on: ubuntu-latest
 
     steps:
@@ -76,9 +76,9 @@ jobs:
         override: true
 
     - name: Run cargo check
-      working-directory: ./query_runner
+      working-directory: ./query_router
       run: cargo check
 
     - name: Run cargo test
-      working-directory: ./query_runner
+      working-directory: ./query_router
       run: cargo test

README.md

@@ -4,37 +4,62 @@
 
 Lucidata is an LLM based query tool designed to democratize data access. It translates natural language questions into SQL/API queries over structured datasets, returning clear, traceable answers and exports.
 
-## Features (WIP)
+## Features
 
 - Natural Language Interface: Ask questions in plain English
-- Query Translation: Automatic conversion to SQL/API queries
-- Result Visualization: Clear tables and charts
-- Export Options: Download results in various formats (CSV, Excel, etc.)
-- Query Transparency: Track and export generated queries
+- Query Translation: Automatic conversion to SQL queries
+- Query Transparency: Track and export generated queries, explanations, and model confidence
+
+### Road-Map
+
+- Support for Generic WebAPI queries
+- Result Visualization
 
 ## Getting Started
 
 ### Prerequisites
 
 - `docker` installed
-- OpenAPI `API_KEY`
+- An OpenAPI `API_KEY`
 
 ### Usage
 
 1. Clone the repository
    ```bash
-   git clone https://github.com/jdhoffa/lucidata.git
+   gh repo clone jdhoffa/lucidata
    cd lucidata
    ```
 
-2. Start the application with Docker Compose
+2. Build and start the application with `docker compose`:
    ```bash
+   docker compose build # it can take a while to compile, be patient :-)
    docker compose up
    ```
 
-3. Enter your natural language query in the input field and click "Submit"
+3. Send your query to the query_router endpoint, and check out the results!
+``` bash
+curl -X POST "http://localhost:8002/translate-and-execute" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "natural_query": "Show me the cars with the best power-to-weight ratio, sorted from highest to lowest"
+  }'
+```
 
-4. Review the results and use the export options as needed
+4. (Optional) Pipe the output to the `jq` CLI:
+``` bash
+curl -X POST "http://localhost:8002/translate-and-execute" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "natural_query": "Show me the cars with the best power-to-weight ratio, sorted from highest to lowest"
+  }' | jq
+
+# you can also select a specific tag
+curl -X POST "http://localhost:8002/translate-and-execute" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "natural_query": "Show me the cars with the best power-to-weight ratio, sorted from highest to lowest"
+  }' | jq '.results'
+```
 
 ## System Architecture
 
@@ -77,9 +102,18 @@ graph TD
 ## Example Queries
 
 ```
-"What is the projected energy mix in 2030 according to IEA's Net Zero scenario?"
+# Query #1 tests mathematical operations (division of hp/wt)
+"Show me the cars with the best power-to-weight ratio, sorted from highest to lowest."
+
+# Query #2 tests sorting and multi-column selection
+"Compare fuel efficiency (MPG) and horsepower for all cars, sorted by MPG."
+
+# Query #3 tests aggregation functions with grouping
+"What's the average horsepower and MPG for automatic vs manual transmission cars?"
 
-"How does natural gas production in the US compare to China over the next decade in WoodMac's base case?"
+# Query #4 tests more complex aggregation and grouping
+"Show me the relationship between number of cylinders and fuel efficiency with average MPG by cylinder count"
 
-"Show me the top 5 countries by renewable energy growth in the next 5 years."
+# Query #5 tests limiting results and specific column selection
+"Find the top 5 cars with the highest horsepower and their quarter-mile time (qsec)"
 ```

api/Dockerfile

@@ -34,11 +34,6 @@ RUN apt-get update && \
 # Copy the binary from the builder stage
 COPY --from=builder /app/target/release/lucidata-api /app/lucidata-api
 
-# Create a .env file only if environment variables aren't provided
-RUN touch .env && \
-    echo "DATABASE_URL=\${DATABASE_URL:-postgres://postgres:postgres@db:5432/pbtar}" > .env && \
-    echo "RUST_LOG=\${RUST_LOG:-info}" >> .env
-
 EXPOSE 8000
 
 CMD ["/app/lucidata-api"]

docker-compose.yml

@@ -37,7 +37,7 @@ services:
       db:
         condition: service_healthy
     healthcheck:
-      test: ["CMD", "curl", "-f", "http://api:${API_PORT}/api/health"]
+      test: ["CMD", "curl", "-f", "http://localhost:${API_PORT}/api/health"]
       interval: 10s
       timeout: 5s
       retries: 5
@@ -48,7 +48,7 @@ services:
     build:
       context: ./llm_engine
     ports:
-      - "8001:8001"
+      - "${LLM_ENGINE_PORT}:${LLM_ENGINE_PORT}"
     dns:
       - 8.8.8.8
       - 1.1.1.1
@@ -66,26 +66,33 @@ services:
         condition: service_healthy
       api:
         condition: service_healthy
-    tty: true
-    stdin_open: true
     healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:8001/health"]
+      test: ["CMD", "curl", "-f", "http://localhost:${LLM_ENGINE_PORT}/health"]
       interval: 10s
       timeout: 5s
       retries: 3
       start_period: 5s
 
-  query_runner:
+  query_router:
     build:
-      context: ./query_runner
+      context: ./query_router
+    ports:
+      - "${QUERY_ROUTER_PORT}:${QUERY_ROUTER_PORT}"
     env_file:
       - ./.env
     environment:
       DATABASE_URL: ${DATABASE_URL}
       API_URL: ${API_URL}
+      QUERY_ROUTER_PORT: ${QUERY_ROUTER_PORT}
+      LLM_ENGINE_URL: ${LLM_ENGINE_URL}
+      RUST_LOG: ${RUST_LOG}
     depends_on:
+      db:
+        condition: service_healthy
       api:
-        condition: service_started
+        condition: service_healthy
+      llm_engine:
+        condition: service_healthy
 
 volumes:
   postgres_data:

llm_engine/Dockerfile

@@ -35,9 +35,6 @@ RUN apt-get update && \
 # Copy the binary from the builder stage
 COPY --from=builder /app/target/release/llm_engine /app/llm_engine
 
-# Set environment variables
-ENV LLM_ENGINE_PORT=8001
-
 # Expose the port
 EXPOSE 8001
 

query_runner/Cargo.toml → query_router/Cargo.toml

@@ -1,15 +1,16 @@
 [package]
-name = "query_runner"
+name = "query_router"
 version = "0.1.0"
 edition = "2021"
 
 [dependencies]
 tokio = { version = "1.29", features = ["full"] }
-axum = "0.6.20"
+axum = "0.6"
 serde = { version = "1.0", features = ["derive"] }
 serde_json = "1.0"
 tracing = "0.1"
 tracing-subscriber = { version = "0.3", features = ["env-filter"] }
+tower = "0.4"
 tower-http = { version = "0.4", features = ["cors"] }
 reqwest = { version = "0.11", features = ["json"] }
 dotenvy = "0.15"
@@ -18,3 +19,4 @@ thiserror = "1.0"
 tokio-postgres = { version = "0.7", features = ["with-serde_json-1"] }
 futures = "0.3"
 chrono = { version = "0.4", features = ["serde"] }
+dotenv = "0.15"

query_runner/Dockerfile → query_router/Dockerfile

@@ -32,7 +32,9 @@ RUN apt-get update && \
     rm -rf /var/lib/apt/lists/*
 
 # Copy the binary from the builder stage
-COPY --from=builder /app/target/release/query_runner /app/query_runner
+COPY --from=builder /app/target/release/query_router /app/query_router
+
+EXPOSE 8002
 
 # Command to run the application
-CMD ["/app/query_runner"]
+CMD ["/app/query_router"]