Feat/e2e datasets metadata

.gitignore

@@ -251,11 +251,9 @@ Pulumi.*.yaml
 chat-server/tests/chat_server_tests/*.json
 chat-server/tests/chat_server_tests/output
 
-# Chat-server Test datasets
-chat-server/tests/e2e/datasets
+chat-server/tests/e2e/datasets/*.csv
 
 # Visualization test artifacts
 chat-server/tests/e2e/viz_utils/examples_arguments_syntax
-chat-server/tests/e2e/datasets
 chat-server/tests/e2e/output
 chat-server/tests/dspy/output

chat-server/.vscode/settings.json

@@ -1,4 +1,6 @@
 {
   "python.analysis.typeCheckingMode": "basic",
-  "python.analysis.autoImportCompletions": true
+  "python.analysis.autoImportCompletions": true,
+  "cursorpyright.analysis.autoImportCompletions": true,
+  "cursorpyright.analysis.typeCheckingMode": "basic"
 }

chat-server/README.md

@@ -0,0 +1,163 @@
+# Gopie Chat Server
+
+AI Agent for data analysis using LangGraph, LangChain, and FastAPI.
+
+## Quick Start
+
+```bash
+cd chat-server
+uv sync
+uvicorn app.main:app --host 0.0.0.0 --port 8001 --reload
+```
+
+## Development Commands
+
+| Command | Description |
+|---------|-------------|
+| `uvicorn app.main:app --host 0.0.0.0 --port 8001 --reload` | Start development server |
+| `pytest` | Run all tests |
+| `pytest -m unit` | Run unit tests only |
+| `pytest -m e2e` | Run E2E tests only |
+| `black .` | Code formatting |
+| `isort .` | Import sorting |
+| `uv sync` | Install dependencies |
+
+## Configuration
+
+### Environment Variables
+
+#### OLAP Backend Configuration
+
+The chat server supports multiple OLAP backends through the `CHAT_OLAP_DB_TYPE` environment variable:
+
+| Value | Description |
+|-------|-------------|
+| `duckdb` | DuckDB (default) |
+| `motherduck` | MotherDuck cloud DuckDB |
+| `motherduck_org` | MotherDuck organization mode |
+| `clickhouse` | ClickHouse single-node |
+| `clickhouse_cluster` | ClickHouse cluster mode |
+| `clickhouse_org` | ClickHouse organization mode |
+
+Example:
+```bash
+export CHAT_OLAP_DB_TYPE=clickhouse
+```
+
+The OLAP backend type controls:
+- SQL dialect used in generated queries (sampling syntax, function names)
+- System table queries for table metadata
+- Fuzzy string matching functions (`levenshtein` vs `levenshteinDistance`)
+- LLM prompts for database-aware SQL generation
+
+#### Other Configuration
+
+See `app/core/config.py` for complete configuration options:
+
+```bash
+# API Configuration
+PROJECT_NAME="Gopie Chat Server"
+API_V1_STR="/api/v1"
+MODE="development"
+
+# LLM Providers
+PORTKEY_API_KEY="your-portkey-key"
+OPENAI_API_KEY="your-openai-key"
+DEFAULT_LLM_MODEL="gpt-4o"
+
+# Vector Database (Qdrant)
+QDRANT_HOST="localhost"
+QDRANT_PORT=6333
+QDRANT_COLLECTION="dataset_collection"
+
+# Code Execution (E2B)
+E2B_API_KEY="your-e2b-key"
+E2B_TIMEOUT=120
+
+# External Services
+GOPIE_API_ENDPOINT="http://localhost:8000"
+```
+
+## Architecture
+
+### OLAP Query Builder
+
+The chat server uses an abstraction layer for database-specific SQL generation:
+
+```
+┌─────────────────────────────────────────┐
+│   Business Logic (table_utils, etc.)    │
+└────────────────────┬────────────────────┘
+                     │
+┌────────────────────▼────────────────────┐
+│    OlapQueryBuilder (Abstract Base)     │
+│  - get_estimated_size_query()           │
+│  - build_sample_query()                 │
+│  - build_levenshtein_query()            │
+│  - get_db_type()                        │
+└────────────────────┬────────────────────┘
+                     │
+        ┌────────────┴────────────┐
+        ▼                         ▼
+   DuckDBQueryBuilder    ClickHouseQueryBuilder
+```
+
+#### SQL Syntax Differences
+
+| Feature | DuckDB | ClickHouse |
+|---------|--------|------------|
+| Table Stats | `duckdb_tables()` | `system.tables` |
+| Row Count Column | `estimated_size` | `total_rows` |
+| Sampling | `USING SAMPLE X% (system)` | `ORDER BY rand() LIMIT n` |
+| Fuzzy Match | `levenshtein()` | `levenshteinDistance()` |
+| Random | `random()` | `rand()` |
+
+### Key Components
+
+- **`app/utils/olap/`** - OLAP query builder abstraction
+  - `base.py` - Abstract base class
+  - `duckdb.py` - DuckDB implementation
+  - `clickhouse.py` - ClickHouse implementation
+  - `factory.py` - Factory function
+
+- **`app/workflow/`** - LangGraph agent workflows
+- **`app/tool_utils/`** - LangChain tools for SQL execution
+- **`app/services/`** - External service integrations
+
+## Testing
+
+### Running Tests
+
+```bash
+# All tests
+pytest
+
+# Unit tests only
+pytest -m unit
+
+# E2E tests only
+pytest -m e2e
+
+# Specific test file
+pytest tests/unit/test_olap_query_builders.py -v
+```
+
+### Test Structure
+
+```
+tests/
+├── unit/                          # Unit tests
+│   └── test_olap_query_builders.py  # OLAP query builder tests
+├── e2e/                           # End-to-end tests
+└── conftest.py                    # Pytest configuration
+```
+
+## Docker
+
+```bash
+# Start chat server only
+docker-compose up
+
+# Full stack (with Go server, Qdrant, etc.)
+cd .. && docker-compose -f docker-compose-noauth.yaml up
+```

chat-server/app/api/v1/routers/dataset_upload.py

@@ -1,6 +1,7 @@
 import asyncio
+from typing import Annotated
 
-from fastapi import APIRouter, HTTPException, status
+from fastapi import APIRouter, Header, HTTPException, status
 
 from app.core.session import SingletonAiohttp
 from app.models.router import UploadResponse, UploadSchemaRequest
@@ -17,7 +18,10 @@
 
 
 @dataset_router.post("/upload_schema", response_model=UploadResponse)
-async def upload_schema(payload: UploadSchemaRequest):
+async def upload_schema(
+    payload: UploadSchemaRequest,
+    x_organization_id: Annotated[str | None, Header()] = None,
+):
     """
     Processes and index dataset schema.
 
@@ -28,16 +32,21 @@ async def upload_schema(payload: UploadSchemaRequest):
         project_id = payload.project_id
         dataset_id = payload.dataset_id
         dataset_details, project_details = await asyncio.gather(
-            get_dataset_info(dataset_id, project_id),
-            get_project_info(project_id),
+            get_dataset_info(
+                dataset_id, project_id, org_id=x_organization_id, is_view=payload.is_view
+            ),
+            get_project_info(project_id, org_id=x_organization_id),
+        )
+        dataset_summary, sample_data = await generate_summary(
+            dataset_details.name, org_id=x_organization_id
         )
-        dataset_summary, sample_data = await generate_summary(dataset_details.name)
 
         success = await store_schema_in_qdrant(
             dataset_summary=dataset_summary,
             sample_data=sample_data,
             dataset_details=dataset_details,
             project_details=project_details,
+            org_id=x_organization_id,
         )
         if not success:
             raise HTTPException(

chat-server/app/api/v1/routers/fetch_sql.py

@@ -0,0 +1,42 @@
+from fastapi import APIRouter, HTTPException, status
+
+from app.core.log import custom_logger as logger
+from app.models.router import FetchSqlRequest, FetchSqlResponse
+from app.workflow.graph.nl_to_sql_graph.graph import nl_to_sql_graph
+
+fetch_sql_router = APIRouter()
+
+
+@fetch_sql_router.post("/fetch-sql", response_model=FetchSqlResponse)
+async def fetch_sql(payload: FetchSqlRequest):
+    """
+    Generate SQL queries from a natural language description.
+
+    - Single dataset: provide `dataset_ids` with one ID
+    - Multi-dataset: provide `dataset_ids` with multiple IDs and/or `project_ids`
+
+    Returns a list of generated SQL queries with their explanations.
+    """
+    try:
+        dataset_ids = [did for did in (payload.dataset_ids or []) if did]
+        project_ids = [pid for pid in (payload.project_ids or []) if pid]
+
+        result = await nl_to_sql_graph.ainvoke(
+            {
+                "user_query": payload.description,
+                "dataset_ids": dataset_ids or None,
+                "project_ids": project_ids or None,
+            }
+        )
+
+        return FetchSqlResponse(
+            sql_queries=result.get("sql_queries", []),
+            message=result.get("message"),
+        )
+    except Exception as e:
+        logger.error(f"Error in fetch_sql: {e}")
+
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="Failed to generate SQL queries, please try again.",
+        ) from e