jaakko
42ee959781
LLM generoi enää 4 tiedostoa (ei pyproject.toml). Pipeline: uv init → uv add deps → kirjoita .py → pytest. Poistaa Poetry-yhteensopivuusongelmat kokonaan.
481 lines
22 KiB
JavaScript
481 lines
22 KiB
JavaScript
#!/usr/bin/env node
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/**
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* Kipinä Model Benchmark
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*
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* Generoi projekteja eri Ollama-malleilla ja testaa niiden toimivuus.
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* Käyttö:
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* node model-benchmark.mjs # kaikki mallit, oletusskenaario
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* node model-benchmark.mjs --models qwen3:8b,qwen3:30b
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* node model-benchmark.mjs --ollama http://host:11434
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* node model-benchmark.mjs --scenarios all # kaikki skenaariot
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*/
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import { execSync } from 'child_process';
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import { writeFileSync, readFileSync, mkdirSync, rmSync, existsSync } from 'fs';
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import { dirname, join } from 'path';
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import { fileURLToPath } from 'url';
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const __dirname = dirname(fileURLToPath(import.meta.url));
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// === CLI-argumentit ===
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const args = process.argv.slice(2);
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function arg(name, fallback) {
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const i = args.indexOf(`--${name}`);
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return i >= 0 && args[i + 1] ? args[i + 1] : fallback;
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}
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const OLLAMA_URL = arg('ollama', process.env.OLLAMA_URL || 'http://localhost:11434');
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const HUB_URL = arg('hub', ''); // Vaihtoehto: --hub https://kipina.studio
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const FILTER_MODELS = arg('models', '');
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const SCENARIO_FILTER = arg('scenarios', 'default');
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const OUTPUT_DIR = arg('output', '/tmp/kipina-benchmark');
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const MAX_FIX_ROUNDS = 2;
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// === Ajattelutagien siivous (gemma4, qwen3/3.5 ym.) ===
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function stripThinking(text) {
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return text
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.replace(/<\|channel>thought[\s\S]*?<channel\|>/g, '') // gemma4
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.replace(/<think>[\s\S]*?<\/think>/g, '') // qwen3, qwen3.5
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.trim();
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}
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// === Ollama / Hub -client ===
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async function ollamaChat(model, prompt, systemPrompt, maxTokens = 2048) {
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const start = Date.now();
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if (HUB_URL) {
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// Hub-reitti: /api/v1/chat/completions
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const taskId = `bench-${Date.now()}-${Math.random().toString(36).slice(2,8)}`;
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const resp = await fetch(`${HUB_URL}/api/v1/chat/completions`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ model, prompt, task_id: taskId, system_prompt: systemPrompt, max_tokens: maxTokens }),
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});
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if (!resp.ok) throw new Error(`Hub HTTP ${resp.status}: ${await resp.text()}`);
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const data = await resp.json();
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const elapsed = Date.now() - start;
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return {
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text: stripThinking((data.response || '').trim()),
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tokens: data.tokens_generated || 0,
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durationMs: elapsed,
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tokPerSec: data.tokens_per_sec || (data.tokens_generated || 0) / (elapsed / 1000),
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};
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}
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// Suora Ollama-reitti: /api/chat
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const messages = [];
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if (systemPrompt) messages.push({ role: 'system', content: systemPrompt });
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messages.push({ role: 'user', content: prompt });
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const resp = await fetch(`${OLLAMA_URL}/api/chat`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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model,
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messages,
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stream: false,
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options: { num_predict: maxTokens, temperature: 0.7, top_k: 40, repeat_penalty: 1.15 },
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}),
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});
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if (!resp.ok) throw new Error(`Ollama HTTP ${resp.status}: ${await resp.text()}`);
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const data = await resp.json();
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const elapsed = Date.now() - start;
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const text = stripThinking((data.message?.content || '').trim());
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const evalCount = data.eval_count || 0;
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const evalDurationNs = data.eval_duration || 1;
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const tokPerSec = evalCount / (evalDurationNs / 1e9);
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return { text, tokens: evalCount, durationMs: elapsed, tokPerSec };
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}
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async function ollamaListModels() {
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const url = HUB_URL ? `${HUB_URL}/api/v1/ollama/tags` : `${OLLAMA_URL}/api/tags`;
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const resp = await fetch(url);
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if (!resp.ok) throw new Error(`Tags: HTTP ${resp.status}`);
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const data = await resp.json();
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return (data.models || []).map(m => m.name);
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}
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// === Promptit (kopioitu index.astrosta) ===
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const CLIENT_SYSTEM = `You are a product owner who turns vague ideas into clear, actionable software requirements.
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GIVEN a short project description from the user, produce a structured brief:
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1. PROJECT NAME: a short, descriptive name
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2. GOAL: one sentence explaining what the software does and who it's for
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3. CORE FEATURES: numbered list of 3-8 concrete features (not vague wishes)
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4. DATA MODEL: list the main entities and their key fields (include field types)
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5. API ENDPOINTS: list the REST endpoints (method + path + purpose)
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6. CONSTRAINTS: any technical constraints (e.g. "must use SQLite", "no auth needed")
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RULES:
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- Be specific: "User can filter todos by status" not "todo management"
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- Use plain English, no code
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- Maximum 400 words total`;
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const SPEC_SYSTEM = `You are a software architect who designs database schemas for Python web applications.
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THINK STEP BY STEP before outputting JSON:
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1. What are the main ENTITIES (nouns) in this project?
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2. What FIELDS does each entity need? (name, type, required?)
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3. Which entities REFERENCE each other? (e.g. "a Book belongs to an Author" → Book has author_id)
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4. Are there Date/DateTime fields? → add extra_imports
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Then output ONLY valid JSON (no explanations before or after).
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SCHEMA:
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{"project_name":"short-name","description":"One sentence","entities":[{"name":"EntityName","table_name":"entity_names","fields":[{"name":"field_name","sa_type":"String(255)","py_type":"str","nullable":false,"default":null}]}],"relationships":[{"from":"ChildEntity","field":"parent_id","to":"ParentEntity","type":"many-to-one"}],"extra_imports":[]}
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FIELD RULES:
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- sa_type: String(N), Text, Integer, Date, DateTime, Boolean, Float
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- py_type: str, int, float, bool, date, datetime — append " | None" if nullable
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- Status fields: use String(20) with default value, NEVER Enum
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- Every entity gets "id" automatically — do NOT add id or redundant ID fields
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- Use snake_case for field names
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RELATIONSHIP RULES:
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- If entity A "belongs to" entity B → A has b_id field (Integer, nullable=false) + relationship entry
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- EVERY _id field MUST have a matching relationship entry
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- Parent entities must appear BEFORE children in the entities array
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- If no relationships, set "relationships": []
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AVOID: redundant ID fields, generic names, more than 7 fields or 3 entities, non-English entity/field names (ALWAYS English even if description is Finnish)
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EXAMPLES (adapt, don't copy):
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Todo app → Todo: title(str), description(Text|None), due_date(Date|None), status(String20="pending")
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Blog → Author: name,email,bio(Text|None) / Post: title, content(Text), author_id→Author, published_at(DateTime|None), status(String20="draft")`;
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const FIX_SYSTEM = 'You are a Python code fixer. Return ONLY the corrected Python file. No markdown fences, no explanations — just valid Python code.';
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// === Kultainen esimerkki ===
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const GOLDEN_DIR = join(__dirname, 'golden-examples', 'todo');
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const GOLDEN_FILES = ['models.py', 'schemas.py', 'main.py', 'test_main.py'];
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function loadGoldenExample() {
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if (!existsSync(GOLDEN_DIR)) return '';
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let example = '\nREFERENCE IMPLEMENTATION (todo project — follow this exact structure, style, and conventions):\n\n';
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for (const f of GOLDEN_FILES) {
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const path = join(GOLDEN_DIR, f);
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if (existsSync(path)) example += `=== ${f} ===\n${readFileSync(path, 'utf-8').trim()}\n\n`;
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}
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return example;
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}
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const GOLDEN_EXAMPLE = loadGoldenExample();
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const CODE_SYSTEM = `You are a Python backend developer. Generate a FastAPI project with SQLAlchemy and SQLite.
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Given the project requirements, JSON specification, and a REFERENCE IMPLEMENTATION, generate these 4 files:
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1. models.py — SQLAlchemy 2.0: DeclarativeBase, Mapped, mapped_column (NOT legacy declarative_base)
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2. schemas.py — Pydantic v2: ConfigDict(from_attributes=True) (NOT class Config)
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3. main.py — FastAPI CRUD endpoints for each entity
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4. test_main.py — Pytest with TestClient, separate test.db, unique test data per test
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Do NOT generate pyproject.toml — it is created separately with uv.
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OUTPUT FORMAT — use these exact markers to separate files:
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=== models.py ===
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<python code>
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=== schemas.py ===
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<python code>
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=== main.py ===
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<python code>
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=== test_main.py ===
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<python code>
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DOCUMENTATION — every file must have a one-line module docstring. Classes get a one-line docstring. Keep it zensical: say what it IS, not what it does. No filler.
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RULES:
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- Follow the REFERENCE IMPLEMENTATION patterns exactly
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- SQLAlchemy 2.0: DeclarativeBase + Mapped + mapped_column (not Column())
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- Python type unions: str | None (not Optional[str])
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- Tests: unique descriptive data per test, NOT generic "test_title" strings
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- Absolute imports only (from models import ..., from schemas import ...)
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- NO markdown fences inside file content — just raw code
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- Only test endpoints that exist in main.py — no extra tests`;
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// === Tiedostoparseri LLM-vastauksesta ===
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function parseGeneratedFiles(text) {
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const files = {};
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const sections = text.split(/===\s*(\S+\.(?:py|toml))\s*===/);
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// sections: [preamble, filename1, content1, filename2, content2, ...]
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for (let i = 1; i < sections.length - 1; i += 2) {
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const name = sections[i];
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let content = sections[i + 1].trim();
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// Poista mahdolliset markdown-aidat
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content = content.replace(/^```(?:python|toml)?\s*\n?/m, '').replace(/\n?```\s*$/m, '').trim();
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if (content) files[name] = content + '\n';
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}
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return files;
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}
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// === Validaattori ===
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function validateProjectCode(files) {
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const issues = [];
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for (const [fname, code] of Object.entries(files)) {
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if (!fname.endsWith('.py')) continue;
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const lines = code.split('\n');
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for (const line of lines) {
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const m = line.match(/^from\s+\.(\w*)\s+import/);
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if (m) issues.push(`ISSUE: ${fname}: relatiivinen import`);
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}
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for (const line of lines) {
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const m = line.match(/^from\s+(models|schemas|main)\s+import\s+(.+)/);
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if (!m) continue;
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const srcCode = files[m[1] + '.py'];
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if (!srcCode) { issues.push(`ISSUE: ${fname}: ${m[1]}.py puuttuu`); continue; }
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const names = m[2].split(',').map(n => n.trim().split(/\s+as\s+/)[0].trim());
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for (const name of names) {
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if (name && !srcCode.includes(name)) issues.push(`ISSUE: ${fname}: "${name}" puuttuu ${m[1]}.py:stä`);
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}
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}
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if (fname === 'schemas.py') {
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if (/:\s*date\b/.test(code) && !/from datetime import/.test(code))
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issues.push('ISSUE: schemas.py: date-import puuttuu');
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if (/:\s*datetime\b/.test(code) && !/from datetime import/.test(code))
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issues.push('ISSUE: schemas.py: datetime-import puuttuu');
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}
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for (let i = 0; i < lines.length; i++) {
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const line = lines[i];
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if (/^\s*#/.test(line) || /^\s*$/.test(line)) continue;
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if (/(?<!["\w])false(?![\w"])/.test(line)) issues.push(`ISSUE: ${fname}:${i+1}: "false" → "False"`);
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if (/(?<!["\w])true(?![\w"])/.test(line)) issues.push(`ISSUE: ${fname}:${i+1}: "true" → "True"`);
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}
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}
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return issues;
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}
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function extractJson(text) {
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const m = text.match(/```(?:json)?\s*\n([\s\S]*?)```/);
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if (m) text = m[1].trim();
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let depth = 0, start = null;
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for (let i = 0; i < text.length; i++) {
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if (text[i] === '{') { if (depth === 0) start = i; depth++; }
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else if (text[i] === '}') { depth--; if (depth === 0 && start !== null) { try { return JSON.parse(text.slice(start, i+1)); } catch(e) { continue; } } }
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}
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return null;
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}
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// === Testiskenaariot ===
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const SCENARIOS = [
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{ id: 'todo', prompt: 'Todo-sovellus: tehtävien hallinta, deadline, prioriteetti ja status' },
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{ id: 'users', prompt: 'REST API käyttäjähallinnalle SQLite-tietokannalla' },
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{ id: 'blog', prompt: 'Blogi-API: kirjoittajat ja artikkelit, julkaisupäivämäärä ja status' },
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];
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// === Pipeline: yhdelle mallille ja skenaariolle ===
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async function runPipeline(model, scenario) {
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const result = {
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model, scenario: scenario.id,
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reqOk: false, specOk: false, specEntities: 0,
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validationIssues: 0, fixRounds: 0,
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testsTotal: 0, testsPassed: 0, testsFailed: 0,
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totalDurationMs: 0, totalTokens: 0, avgTokPerSec: 0,
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error: null,
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};
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const timings = [];
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const dir = `${OUTPUT_DIR}/${model.replace(/[/:]/g, '_')}__${scenario.id}`;
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mkdirSync(dir, { recursive: true });
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try {
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// 1. Vaatimukset
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console.log(` [1/5] Vaatimukset...`);
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const req = await ollamaChat(model, scenario.prompt, CLIENT_SYSTEM, 1024);
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timings.push(req);
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if (!req.text || req.text.length < 50) { result.error = 'Vaatimukset liian lyhyet'; return result; }
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result.reqOk = true;
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writeFileSync(`${dir}/_requirements.txt`, req.text);
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// 2. JSON-speksi
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console.log(` [2/5] JSON-speksi...`);
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const specResp = await ollamaChat(model, `${req.text}\n\nOutput a JSON spec for this project.`, SPEC_SYSTEM, 2048);
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timings.push(specResp);
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const spec = extractJson(specResp.text);
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if (!spec || !spec.entities || spec.entities.length === 0) { result.error = 'JSON-speksi epäonnistui'; writeFileSync(`${dir}/_spec_raw.txt`, specResp.text); return result; }
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result.specOk = true;
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result.specEntities = spec.entities.length;
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writeFileSync(`${dir}/_spec.json`, JSON.stringify(spec, null, 2));
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// 3. LLM-koodigenerointi
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console.log(` [3/5] Koodigenerointi (LLM)...`);
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const codePrompt = `${GOLDEN_EXAMPLE}\n---\n\nPROJECT REQUIREMENTS:\n${req.text}\n\nJSON SPECIFICATION:\n${JSON.stringify(spec, null, 2)}\n\nGenerate the complete project with all 5 files. Follow the reference implementation patterns exactly.`;
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const codeResp = await ollamaChat(model, codePrompt, CODE_SYSTEM, 8192);
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timings.push(codeResp);
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writeFileSync(`${dir}/_code_raw.txt`, codeResp.text);
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const files = parseGeneratedFiles(codeResp.text);
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const required = ['models.py', 'schemas.py', 'main.py', 'test_main.py'];
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const missing = required.filter(f => !files[f]);
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if (missing.length > 0) { result.error = `Puuttuvat: ${missing.join(', ')}`; return result; }
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// 4. Validointi + korjaussilmukka
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let issues = validateProjectCode(files);
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let fixRound = 0;
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while (issues.length > 0 && fixRound < MAX_FIX_ROUNDS) {
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fixRound++;
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console.log(` [4/5] Korjauskierros ${fixRound} (${issues.length} ongelmaa)...`);
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const issuesByFile = {};
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for (const issue of issues) {
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const m = issue.match(/^ISSUE:\s*(\S+?):/);
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const fname = m ? m[1] : 'unknown';
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if (!issuesByFile[fname]) issuesByFile[fname] = [];
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issuesByFile[fname].push(issue);
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}
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for (const [fname, fIssues] of Object.entries(issuesByFile)) {
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if (!files[fname]) continue;
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const fixPrompt = `Fix the following issues in this Python file. Return ONLY the complete corrected file, no explanations.\n\nISSUES:\n${fIssues.join('\n')}\n\nCURRENT FILE (${fname}):\n\`\`\`python\n${files[fname]}\`\`\``;
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const fixResp = await ollamaChat(model, fixPrompt, FIX_SYSTEM, 2048);
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timings.push(fixResp);
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if (fixResp.text) {
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files[fname] = fixResp.text.replace(/^```(?:python)?\s*\n?/m, '').replace(/\n?```\s*$/m, '').trim() + '\n';
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}
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}
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issues = validateProjectCode(files);
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}
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result.validationIssues = issues.length;
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result.fixRounds = fixRound;
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// 5. Projektin alustus (uv init) + kirjoita tiedostot + pytest
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console.log(` [5/5] Pytest...`);
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try {
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const uvPath = process.env.HOME + '/.local/bin/uv';
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const uv = existsSync(uvPath) ? uvPath : 'uv';
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execSync(`cd "${dir}" && ${uv} init --no-readme --python ">=3.14" 2>/dev/null && rm -f hello.py main.py`, { timeout: 30000, stdio: 'pipe' });
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execSync(`cd "${dir}" && ${uv} add fastapi "uvicorn[standard]" sqlalchemy pytest httpx 2>/dev/null`, { timeout: 60000, stdio: 'pipe' });
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// Kirjoita LLM:n generoimat Python-tiedostot (uv initin jälkeen)
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for (const [fn, content] of Object.entries(files)) {
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if (fn.endsWith('.py')) writeFileSync(`${dir}/${fn}`, content);
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}
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execSync(`cd "${dir}" && rm -f app.db test.db`, { stdio: 'pipe' });
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const pytestOut = execSync(`cd "${dir}" && ${uv} run pytest test_main.py -v --tb=short 2>&1`, { timeout: 60000, encoding: 'utf-8' });
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writeFileSync(`${dir}/_pytest.txt`, pytestOut);
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const passedMatch = pytestOut.match(/(\d+) passed/);
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const failedMatch = pytestOut.match(/(\d+) failed/);
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result.testsPassed = passedMatch ? parseInt(passedMatch[1]) : 0;
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result.testsFailed = failedMatch ? parseInt(failedMatch[1]) : 0;
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result.testsTotal = result.testsPassed + result.testsFailed;
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} catch (e) {
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const output = e.stdout || e.stderr || e.message || '';
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writeFileSync(`${dir}/_pytest.txt`, output);
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const passedMatch = output.match(/(\d+) passed/);
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const failedMatch = output.match(/(\d+) failed/);
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const errorMatch = output.match(/(\d+) error/);
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result.testsPassed = passedMatch ? parseInt(passedMatch[1]) : 0;
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result.testsFailed = (failedMatch ? parseInt(failedMatch[1]) : 0) + (errorMatch ? parseInt(errorMatch[1]) : 0);
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result.testsTotal = result.testsPassed + result.testsFailed;
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if (result.testsTotal === 0) result.error = 'Pytest kaatui';
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}
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} catch (e) {
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result.error = e.message;
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}
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// Yhteenveto
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result.totalDurationMs = timings.reduce((s, t) => s + t.durationMs, 0);
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result.totalTokens = timings.reduce((s, t) => s + t.tokens, 0);
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||
result.avgTokPerSec = timings.length > 0 ? timings.reduce((s, t) => s + t.tokPerSec, 0) / timings.length : 0;
|
||
|
||
return result;
|
||
}
|
||
|
||
// === Main ===
|
||
async function main() {
|
||
console.log('╔══════════════════════════════════════════════╗');
|
||
console.log('║ Kipinä Model Benchmark ║');
|
||
console.log('╚══════════════════════════════════════════════╝');
|
||
console.log(`Ollama: ${OLLAMA_URL}`);
|
||
|
||
// Haetaan mallit
|
||
let models;
|
||
try {
|
||
models = await ollamaListModels();
|
||
} catch (e) {
|
||
console.error(`Ei yhteyttä Ollamaan (${OLLAMA_URL}): ${e.message}`);
|
||
process.exit(1);
|
||
}
|
||
|
||
if (FILTER_MODELS) {
|
||
const filter = FILTER_MODELS.split(',').map(s => s.trim());
|
||
models = models.filter(m => filter.some(f => m.includes(f)));
|
||
}
|
||
|
||
console.log(`Mallit (${models.length}): ${models.join(', ')}`);
|
||
|
||
const scenarios = SCENARIO_FILTER === 'all' ? SCENARIOS : [SCENARIOS[0]];
|
||
console.log(`Skenaariot (${scenarios.length}): ${scenarios.map(s => s.id).join(', ')}`);
|
||
console.log(`Tulokset: ${OUTPUT_DIR}/`);
|
||
console.log('');
|
||
|
||
// Puhdista output
|
||
rmSync(OUTPUT_DIR, { recursive: true, force: true });
|
||
mkdirSync(OUTPUT_DIR, { recursive: true });
|
||
|
||
const results = [];
|
||
|
||
for (const model of models) {
|
||
for (const scenario of scenarios) {
|
||
console.log(`\n━━━ ${model} × ${scenario.id} ━━━`);
|
||
const r = await runPipeline(model, scenario);
|
||
results.push(r);
|
||
|
||
const status = r.error ? `✗ ${r.error}` :
|
||
r.testsPassed === r.testsTotal && r.testsTotal > 0 ? `✓ ${r.testsPassed}/${r.testsTotal}` :
|
||
`◐ ${r.testsPassed}/${r.testsTotal}`;
|
||
console.log(` → ${status} | ${(r.totalDurationMs/1000).toFixed(1)}s | ${r.totalTokens} tok | ${r.avgTokPerSec.toFixed(1)} tok/s`);
|
||
}
|
||
}
|
||
|
||
// === Tulostaulu ===
|
||
console.log('\n\n╔══════════════════════════════════════════════════════════════════════════════════════════════════╗');
|
||
console.log('║ TULOKSET ║');
|
||
console.log('╠══════════════════════════════════════════════════════════════════════════════════════════════════╣');
|
||
|
||
const header = [
|
||
'Malli'.padEnd(40),
|
||
'Skenaario'.padEnd(10),
|
||
'Speksi'.padEnd(8),
|
||
'Testit'.padEnd(10),
|
||
'Korjaus'.padEnd(8),
|
||
'Aika'.padEnd(8),
|
||
'tok/s'.padEnd(8),
|
||
'Tulos',
|
||
].join(' │ ');
|
||
console.log(`║ ${header} ║`);
|
||
console.log('╠' + '═'.repeat(header.length + 2) + '╣');
|
||
|
||
for (const r of results) {
|
||
const specStatus = r.specOk ? `✓ ${r.specEntities}e` : '✗';
|
||
const testStatus = r.testsTotal > 0 ? `${r.testsPassed}/${r.testsTotal}` : '-';
|
||
const fixStatus = r.fixRounds > 0 ? `${r.fixRounds}×` : '-';
|
||
const time = `${(r.totalDurationMs/1000).toFixed(0)}s`;
|
||
const speed = `${r.avgTokPerSec.toFixed(0)}`;
|
||
const verdict = r.error ? '✗ FAIL' : r.testsPassed === r.testsTotal && r.testsTotal > 0 ? '✓ PASS' : '◐ PARTIAL';
|
||
|
||
const row = [
|
||
r.model.padEnd(40),
|
||
r.scenario.padEnd(10),
|
||
specStatus.padEnd(8),
|
||
testStatus.padEnd(10),
|
||
fixStatus.padEnd(8),
|
||
time.padEnd(8),
|
||
speed.padEnd(8),
|
||
verdict,
|
||
].join(' │ ');
|
||
console.log(`║ ${row} ║`);
|
||
}
|
||
console.log('╚' + '═'.repeat(header.length + 2) + '╝');
|
||
|
||
// Tallenna JSON
|
||
writeFileSync(`${OUTPUT_DIR}/results.json`, JSON.stringify(results, null, 2));
|
||
console.log(`\nJSON: ${OUTPUT_DIR}/results.json`);
|
||
|
||
// Yhteenveto
|
||
const passed = results.filter(r => !r.error && r.testsPassed === r.testsTotal && r.testsTotal > 0);
|
||
const partial = results.filter(r => !r.error && r.testsPassed < r.testsTotal && r.testsTotal > 0);
|
||
const failed = results.filter(r => r.error || r.testsTotal === 0);
|
||
console.log(`\n✓ PASS: ${passed.length} | ◐ PARTIAL: ${partial.length} | ✗ FAIL: ${failed.length} | Yhteensä: ${results.length}`);
|
||
}
|
||
|
||
main().catch(e => { console.error(e); process.exit(1); });
|