281 lines
9.5 KiB
Python
281 lines
9.5 KiB
Python
#!/usr/bin/env python
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"""Load YAML content data into the database."""
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import asyncio
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import sys
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from pathlib import Path
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from typing import Any
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import yaml
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.orm import selectinload
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# Add src to path for imports
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from src.db.database import async_session_factory
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from src.models import Category, Difficulty, Explanation, Pattern, Question, Solution
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async def load_categories(session: AsyncSession, data_dir: Path) -> dict[str, Category]:
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"""Load categories from YAML file."""
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categories_file = data_dir / "categories" / "categories.yaml"
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if not categories_file.exists():
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print(f"Warning: {categories_file} not found")
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return {}
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with open(categories_file) as f:
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data = yaml.safe_load(f)
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categories: dict[str, Category] = {}
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for item in data.get("categories", []):
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result = await session.execute(select(Category).where(Category.slug == item["slug"]))
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existing = result.scalar_one_or_none()
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if existing:
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existing.name = item["name"]
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existing.description = item.get("description")
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categories[item["slug"]] = existing
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else:
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category = Category(
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name=item["name"],
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slug=item["slug"],
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description=item.get("description"),
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)
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session.add(category)
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categories[item["slug"]] = category
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await session.flush()
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print(f"Loaded {len(categories)} categories")
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return categories
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async def load_patterns(session: AsyncSession, data_dir: Path) -> dict[str, Pattern]:
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"""Load patterns from YAML files.
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Supports both:
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- Legacy single file: patterns/patterns.yaml
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- Individual files: patterns/<slug>.yaml (preferred for tutorials)
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"""
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patterns_dir = data_dir / "patterns"
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patterns: dict[str, Pattern] = {}
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# First, try loading individual pattern files (preferred for tutorials)
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individual_files = list(patterns_dir.glob("*.yaml"))
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# Filter out the legacy patterns.yaml file
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individual_files = [f for f in individual_files if f.name != "patterns.yaml"]
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if individual_files:
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for pattern_file in individual_files:
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with open(pattern_file) as f:
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item = yaml.safe_load(f)
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if not item or "slug" not in item:
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print(f" Warning: Skipping {pattern_file.name} - missing slug")
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continue
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pattern = await _upsert_pattern(session, item)
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patterns[item["slug"]] = pattern
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print(f" Loaded: {item['name']}")
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# Fall back to legacy patterns.yaml if no individual files found
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legacy_file = patterns_dir / "patterns.yaml"
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if legacy_file.exists():
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with open(legacy_file) as f:
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data = yaml.safe_load(f)
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for item in data.get("patterns", []):
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# Skip if already loaded from individual file
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if item["slug"] in patterns:
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continue
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pattern = await _upsert_pattern(session, item)
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patterns[item["slug"]] = pattern
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await session.flush()
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print(f"Loaded {len(patterns)} patterns")
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return patterns
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async def _upsert_pattern(session: AsyncSession, item: dict[str, Any]) -> Pattern:
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"""Insert or update a single pattern from YAML data."""
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result = await session.execute(select(Pattern).where(Pattern.slug == item["slug"]))
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existing = result.scalar_one_or_none()
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if existing:
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pattern = existing
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else:
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pattern = Pattern(slug=item["slug"])
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session.add(pattern)
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# Core fields
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pattern.name = item["name"]
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pattern.description = item.get("description")
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pattern.when_to_use = item.get("when_to_use")
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# Tutorial content fields
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pattern.metaphor = item.get("metaphor")
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pattern.core_concept = item.get("core_concept")
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pattern.visualization = item.get("visualization")
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pattern.code_template = item.get("code_template")
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# Structured data fields (JSONB)
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pattern.recognition_signals = item.get("recognition_signals")
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pattern.common_mistakes = item.get("common_mistakes")
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pattern.variations = item.get("variations")
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pattern.related_patterns = item.get("related_patterns")
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pattern.prerequisite_patterns = item.get("prerequisite_patterns")
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# Difficulty level
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pattern.difficulty_level = item.get("difficulty_level")
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return pattern
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async def load_question(
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session: AsyncSession,
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question_file: Path,
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categories: dict[str, Category],
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patterns: dict[str, Pattern],
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) -> None:
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"""Load a single question from YAML file."""
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with open(question_file) as f:
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data: dict[str, Any] = yaml.safe_load(f)
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slug = data["slug"]
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result = await session.execute(
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select(Question)
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.where(Question.slug == slug)
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.options(
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selectinload(Question.explanation),
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selectinload(Question.solutions),
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selectinload(Question.categories),
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selectinload(Question.patterns),
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)
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)
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existing = result.scalar_one_or_none()
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if existing:
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question = existing
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question.title = data["title"]
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question.difficulty = Difficulty(data["difficulty"].lower())
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question.description = data["description"]
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question.constraints = data.get("constraints")
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question.examples = data.get("examples")
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question.leetcode_id = data.get("leetcode_id")
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question.leetcode_url = data.get("leetcode_url")
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question.function_signature = data.get("function_signature")
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question.test_cases = data.get("test_cases")
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else:
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question = Question(
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title=data["title"],
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slug=slug,
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difficulty=Difficulty(data["difficulty"].lower()),
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description=data["description"],
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constraints=data.get("constraints"),
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examples=data.get("examples"),
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leetcode_id=data.get("leetcode_id"),
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leetcode_url=data.get("leetcode_url"),
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function_signature=data.get("function_signature"),
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test_cases=data.get("test_cases"),
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)
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session.add(question)
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# Link categories
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question.categories = [
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categories[cat_slug] for cat_slug in data.get("categories", []) if cat_slug in categories
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]
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# Link patterns
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question.patterns = [
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patterns[pat_slug] for pat_slug in data.get("patterns", []) if pat_slug in patterns
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]
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await session.flush()
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# Handle explanation
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if "explanation" in data:
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exp_data = data["explanation"]
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if existing and existing.explanation:
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explanation = question.explanation
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explanation.approach = exp_data["approach"]
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explanation.intuition = exp_data["intuition"]
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explanation.common_pitfalls = exp_data.get("common_pitfalls")
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explanation.key_takeaways = exp_data.get("key_takeaways")
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explanation.time_complexity = exp_data["time_complexity"]
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explanation.space_complexity = exp_data["space_complexity"]
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explanation.complexity_explanation = exp_data.get("complexity_explanation")
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else:
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explanation = Explanation(
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question_id=question.id,
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approach=exp_data["approach"],
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intuition=exp_data["intuition"],
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common_pitfalls=exp_data.get("common_pitfalls"),
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key_takeaways=exp_data.get("key_takeaways"),
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time_complexity=exp_data["time_complexity"],
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space_complexity=exp_data["space_complexity"],
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complexity_explanation=exp_data.get("complexity_explanation"),
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)
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session.add(explanation)
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# Handle solutions (delete existing and recreate)
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if existing and existing.solutions:
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for sol in existing.solutions:
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await session.delete(sol)
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await session.flush()
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for sol_data in data.get("solutions", []):
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solution = Solution(
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question_id=question.id,
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approach_name=sol_data["approach_name"],
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code=sol_data["code"],
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language=sol_data.get("language", "python"),
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is_optimal=sol_data.get("is_optimal", False),
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explanation=sol_data.get("explanation"),
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)
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session.add(solution)
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print(f" Loaded: {data['title']}")
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async def load_questions(
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session: AsyncSession,
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data_dir: Path,
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categories: dict[str, Category],
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patterns: dict[str, Pattern],
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) -> int:
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"""Load all questions from YAML files."""
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questions_dir = data_dir / "questions"
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if not questions_dir.exists():
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print(f"Warning: {questions_dir} not found")
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return 0
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count = 0
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for question_file in sorted(questions_dir.glob("*.yaml")):
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await load_question(session, question_file, categories, patterns)
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count += 1
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return count
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async def main() -> None:
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"""Load all content data into the database."""
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data_dir = Path(__file__).parent.parent / "data"
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print("Loading content data...")
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print(f"Data directory: {data_dir}")
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async with async_session_factory() as session:
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categories = await load_categories(session, data_dir)
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patterns = await load_patterns(session, data_dir)
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question_count = await load_questions(session, data_dir, categories, patterns)
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await session.commit()
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print(f"\nDone! Loaded {question_count} questions.")
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if __name__ == "__main__":
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asyncio.run(main())
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