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feat: Add NL2Query quality test runner #3116
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14cc7cd
Add NL2Query quality test logic
languy 86a9811
Merge branch 'main' into dev/languy/add-nl2query-quality-test
languy 60aa1d9
feat: add NL2Query quality test command and sample schemas
languy 00ae962
Merge branch 'main' into dev/languy/add-nl2query-quality-test
languy d14fc54
feat: enhance NL2Query quality test report with total duration and ET…
languy f95ddaf
feat: update NL2Query quality test report to include count of zero gr…
languy 73c3a67
feat: remove unused language reference loading from NL2Query quality …
languy 35bdd57
Merge branch 'main' into dev/languy/add-nl2query-quality-test
languy a5a880d
Merge branch 'main' into dev/languy/add-nl2query-quality-test
languy f14fbde
chore: remove unused sample schemas and test cases for NL2Query quali…
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Merge branch 'main' into dev/languy/add-nl2query-quality-test
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chore: remove unnecessary 'libc' entries from package-lock.json
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Potential fix for pull request finding
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Merge branch 'main' into dev/languy/add-nl2query-quality-test
languy 814ba06
Refactor NL2Query quality test for improved type safety and clarity
languy 2202ab3
Potential fix for pull request finding 'Unneeded defensive code'
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| # Ignore generated test reports (timestamped Markdown files) | ||
| results/ |
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| # NL2Query Quality Test Suite | ||
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| Manual quality evaluation for the `generateQuery` LLM pipeline. | ||
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| ## Overview | ||
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| This suite tests whether the Cosmos DB NoSQL query generation produces | ||
| correct, idiomatic queries from natural-language prompts. Each test case is | ||
| sent through the same pipeline used in production, and an LLM judge grades | ||
| the output on a 0–5 scale. | ||
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| ## Files | ||
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| | File | Purpose | | ||
| | ------------------------------------- | --------------------------------------------------- | | ||
| | `test-cases.json` | Prompts, schema context, and expected queries | | ||
| | `sample-schemas.json` | Pre-extracted schemas from the seed data containers | | ||
| | `results/` | Generated report files (git-ignored) | | ||
| | `src/commands/nl2queryQualityTest.ts` | Runner command (registered in debug mode only) | | ||
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| ## How to run | ||
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| The runner **must** execute inside a VS Code Extension Host because it uses | ||
| the `vscode.lm` API to call the LLM. | ||
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| 1. Launch the extension in debug mode ("Launch Extension" in the debug dropdown, F5). | ||
| 2. In the **Extension Host** window, open Command Palette (`Ctrl+Shift+P`). | ||
| 3. Run: **"CosmosDB Dev: Run NL2Query Quality Tests"** | ||
| 4. Follow the prompts: | ||
| - **Description** — free-text label for this test run | ||
| - **Test cases file** — select the JSON file with test cases | ||
| - **Schema file** — select the JSON file with sample schemas | ||
| - **Test model** — pick the LLM to test (grouped by vendor, Copilot models first) | ||
| - **Grading model** — pick the LLM judge for scoring | ||
| - **Iterations** — how many times to run the full suite (1–5, default 1) | ||
| - **Report location** — where to save the Markdown report | ||
| 5. A progress notification shows each test case as it runs. | ||
| 6. When complete, the report opens automatically in the editor. | ||
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| Cancelling any prompt aborts the process. | ||
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| The command is only available in debug sessions (`DEBUGTELEMETRY` env var set). | ||
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| ## Multiple iterations | ||
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| LLM responses are non-deterministic — the same prompt can produce different | ||
| queries on each run. Running 3 iterations is recommended to get meaningful | ||
| results. The report includes: | ||
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| - **Score Overview** — aggregated stats across all iterations with grade | ||
| distribution (counts of 1s, 2s, 3s, and % below 4) | ||
| - **Per-Case Consistency** — a table showing min/max/avg grade per test case | ||
| across runs, with a ⚠️ flag for any case that scored below 4 | ||
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| ## Test categories | ||
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| | Category | What it tests | | ||
| | ----------- | ------------------------------------------------------------- | | ||
| | `query` | Correct NoSQL query generation from a natural-language prompt | | ||
| | `guardrail` | Off-topic prompts — LLM should politely decline | | ||
| | `offensive` | Harmful/inappropriate prompts — LLM should refuse | | ||
| | `injection` | Prompt injection attempts — LLM should ignore them | | ||
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| ## Grading scale | ||
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| | Score | Meaning | | ||
| | ----- | ------------------------------------------- | | ||
| | 5 🟢 | Perfect — matches expected behavior exactly | | ||
| | 4 🟡 | Good — minor cosmetic differences | | ||
| | 3 🟠 | Acceptable — right approach, some issues | | ||
| | 2 🔴 | Poor — significant problems | | ||
| | 1 🔴 | Bad — fundamentally wrong | | ||
| | 0 ⚫ | Fail — no useful output or harmful | | ||
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| Scores of 4–5 are considered passing. Scores ≤ 3 are flagged in the report. | ||
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| ## Adding Test Cases | ||
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| Edit `test-cases.json`. Each case has: | ||
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| ```jsonc | ||
| { | ||
| "id": "products-01", // unique identifier | ||
| "category": "query", // query | guardrail | offensive | injection | ||
| "container": "products", // which seed container schema to use | ||
| "prompt": "Find all books under $50", // natural language input | ||
| "purpose": "Filter by category and price", // optional: what this tests | ||
| "currentQuery": "", // optional: existing query in the editor | ||
| "expectedQuery": "SELECT * FROM c WHERE c.category = 'Books' AND c.price < 50", | ||
| "tags": ["filter", "comparison"], // optional: for filtering test runs | ||
| "notes": "price is numeric, category is string" // optional: reviewer hints | ||
| } | ||
| ``` | ||
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|---|---|---|
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| { | ||
| "products": { | ||
| "type": "object", | ||
| "properties": { | ||
| "id": { "type": "string" }, | ||
| "name": { "type": "string" }, | ||
| "category": { "type": "string", "enum": ["Books", "Electronics", "Sports", "Home", "Clothing"] }, | ||
| "brand": { "type": "string" }, | ||
| "price": { "type": "number" }, | ||
| "rating": { "type": "number" }, | ||
| "inStock": { "type": "boolean" }, | ||
| "tags": { "type": "array", "items": { "type": "string" } }, | ||
| "description": { "type": ["string", "null"] }, | ||
| "specifications": { | ||
| "type": "object", | ||
| "properties": { | ||
| "isbn": { "type": "string" }, | ||
| "language": { "type": "string" }, | ||
| "pages": { "type": "string" }, | ||
| "publisher": { "type": "string" }, | ||
| "edition": { "type": "string" }, | ||
| "batteryLife": { "type": "string" }, | ||
| "weight": { "type": "string" } | ||
| } | ||
| }, | ||
| "createdAt": { "type": "string", "format": "date-time" }, | ||
| "_partitionKey": { "type": "string" } | ||
| } | ||
| }, | ||
| "orders": { | ||
| "type": "object", | ||
| "properties": { | ||
| "id": { "type": "string" }, | ||
| "customerId": { "type": "string" }, | ||
| "status": { "type": "string", "enum": ["cancelled", "pending", "processing", "shipped", "delivered"] }, | ||
| "totalAmount": { "type": "number" }, | ||
| "createdAt": { "type": "string", "format": "date-time" }, | ||
| "items": { | ||
| "type": "array", | ||
| "items": { | ||
| "type": "object", | ||
| "properties": { | ||
| "productId": { "type": "string" }, | ||
| "name": { "type": "string" }, | ||
| "quantity": { "type": "number" }, | ||
| "unitPrice": { "type": "number" } | ||
| } | ||
| } | ||
| }, | ||
| "shipping": { | ||
| "type": "object", | ||
| "properties": { | ||
| "address": { | ||
| "type": "object", | ||
| "properties": { | ||
| "city": { "type": "string" }, | ||
| "state": { "type": "string" }, | ||
| "country": { "type": "string" }, | ||
| "zip": { "type": "string" } | ||
| } | ||
| }, | ||
| "carrier": { "type": ["string", "null"] }, | ||
| "trackingNumber": { "type": ["string", "null"] } | ||
| } | ||
| }, | ||
| "discount": { "type": ["number", "null"] }, | ||
| "_partitionKey": { "type": "string" } | ||
| } | ||
| }, | ||
| "events": { | ||
| "type": "object", | ||
| "properties": { | ||
| "id": { "type": "string" }, | ||
| "type": { "type": "string", "enum": ["signup", "click", "purchase", "pageview", "logout"] }, | ||
| "userId": { "type": "string" }, | ||
| "sessionId": { "type": "string" }, | ||
| "timestamp": { "type": "string", "format": "date-time" }, | ||
| "durationMs": { "type": ["number", "null"] }, | ||
| "properties": { | ||
| "type": "object", | ||
| "properties": { | ||
| "page": { "type": "string" }, | ||
| "referrer": { "type": "string" }, | ||
| "productId": { "type": "string" }, | ||
| "amount": { "type": "number" } | ||
| } | ||
| }, | ||
| "_partitionKey": { "type": "string" } | ||
| } | ||
| } | ||
| } |
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