from __future__ import annotations import csv from dataclasses import asdict, dataclass, field from pathlib import Path from typing import Dict, List, Optional BOOKS_MASTER_FIELDS = [ "book_id", "asin", "isbn13", "title", "author_name", "publisher", "publisher_tier", "publication_date", "format", "list_price", "genre_primary", "genre_secondary", "sample_group", "author_central_present", "author_central_links_count", "youtube_link_present", "goodreads_presence", "social_presence_score", "author_best_known_bsr", "author_prior_top100_title_count", "nyt_list_any", "nyt_list_count", ] BOOK_OBSERVATION_FIELDS = [ "book_id", "observation_date", "source_url", "days_since_publication", "amazon_bsr_overall", "amazon_bsr_primary_category", "amazon_bsr_secondary_category", "best_visible_category_bsr", "primary_category_name", "secondary_category_name", "category_count", "category_top10_count", "category_top100_count", "category_top1000_count", "launch_window_30d_flag", "hot_new_releases_flag", "hot_new_releases_position", "movers_shakers_flag", "movers_shakers_position", "rating_average", "rating_count", "review_count", "also_bought_visible_flag", "also_bought_count", "also_bought_bestseller_count", "also_bought_shared_category_count", "review_velocity_7d", "review_velocity_30d", "rank_change_24h", "top100_flag", "threshold_50_reviews_flag", "threshold_event_flag", "sustained_top100_60d_flag", "ar_proxy_score", "csd_proxy_score", "cpa_proxy_score", "arm_observed_score", ] NYT_WEEKLY_FIELDS = [ "published_date", "list_name", "list_name_encoded", "rank", "rank_last_week", "weeks_on_list", "title", "author", "publisher", "primary_isbn13", "primary_isbn10", "amazon_product_url", "book_image", "book_uri", ] NYT_HISTORY_FIELDS = [ "query_value", "query_type", "title", "author", "publisher", "description", "contributor", "contributor_note", "price", "age_group", "primary_isbn13", "primary_isbn10", "isbn13", "isbn10", "history_list_name", "history_display_name", "bestsellers_date", "published_date", "rank", "rank_last_week", "weeks_on_list", "asterisk", "dagger", ] AMAZON_OBSERVATION_INPUT_FIELDS = [ "book_id", "observation_date", "source_url", "asin", "title", "author_name", "days_since_publication", "amazon_bsr_overall", "amazon_bsr_primary_category", "amazon_bsr_secondary_category", "primary_category_name", "secondary_category_name", "category_count", "category_top10_count", "category_top100_count", "category_top1000_count", "hot_new_releases_flag", "hot_new_releases_position", "movers_shakers_flag", "movers_shakers_position", "rating_average", "rating_count", "review_count", "also_bought_visible_flag", "also_bought_count", "also_bought_bestseller_count", "also_bought_shared_category_count", "notes", ] @dataclass class BookMasterRecord: book_id: str asin: str = "" isbn13: str = "" title: str = "" author_name: str = "" publisher: str = "" publisher_tier: str = "" publication_date: str = "" format: str = "" list_price: str = "" genre_primary: str = "" genre_secondary: str = "" sample_group: str = "" author_central_present: str = "" author_central_links_count: str = "" youtube_link_present: str = "" goodreads_presence: str = "" social_presence_score: str = "" author_best_known_bsr: str = "" author_prior_top100_title_count: str = "" nyt_list_any: str = "" nyt_list_count: str = "" def to_row(self) -> Dict[str, str]: return {field_name: str(asdict(self).get(field_name, "")) for field_name in BOOKS_MASTER_FIELDS} @dataclass class BookObservationRecord: book_id: str observation_date: str source_url: str = "" days_since_publication: str = "" amazon_bsr_overall: str = "" amazon_bsr_primary_category: str = "" amazon_bsr_secondary_category: str = "" best_visible_category_bsr: str = "" primary_category_name: str = "" secondary_category_name: str = "" category_count: str = "" category_top10_count: str = "" category_top100_count: str = "" category_top1000_count: str = "" launch_window_30d_flag: str = "" hot_new_releases_flag: str = "" hot_new_releases_position: str = "" movers_shakers_flag: str = "" movers_shakers_position: str = "" rating_average: str = "" rating_count: str = "" review_count: str = "" also_bought_visible_flag: str = "" also_bought_count: str = "" also_bought_bestseller_count: str = "" also_bought_shared_category_count: str = "" review_velocity_7d: str = "" review_velocity_30d: str = "" rank_change_24h: str = "" top100_flag: str = "" threshold_50_reviews_flag: str = "" threshold_event_flag: str = "" sustained_top100_60d_flag: str = "" ar_proxy_score: str = "" csd_proxy_score: str = "" cpa_proxy_score: str = "" arm_observed_score: str = "" def to_row(self) -> Dict[str, str]: return {field_name: str(asdict(self).get(field_name, "")) for field_name in BOOK_OBSERVATION_FIELDS} @dataclass class TemplateBundle: books_master_path: Path observations_path: Path nyt_weekly_path: Path nyt_history_path: Path amazon_input_path: Path metadata: Dict[str, str] = field(default_factory=dict) def ensure_directory(path: str | Path) -> Path: directory = Path(path) directory.mkdir(parents=True, exist_ok=True) return directory def write_csv_template(path: str | Path, fieldnames: List[str], example_rows: Optional[List[Dict[str, str]]] = None) -> Path: target = Path(path) ensure_directory(target.parent) with target.open("w", newline="", encoding="utf-8") as handle: writer = csv.DictWriter(handle, fieldnames=fieldnames) writer.writeheader() for row in example_rows or []: writer.writerow({field_name: row.get(field_name, "") for field_name in fieldnames}) return target def create_validation_templates(output_dir: str | Path = "validation_templates") -> TemplateBundle: output_path = ensure_directory(output_dir) books_master_example = BookMasterRecord( book_id="philo_001", asin="B0EXAMPLE01", isbn13="9780000000001", title="Example Philosophy Title", author_name="Example Author", publisher="Example Press", publisher_tier="mid", publication_date="2026-01-15", format="hardcover", list_price="28.00", genre_primary="philosophy", genre_secondary="self-help", sample_group="candidate", author_central_present="1", author_central_links_count="2", youtube_link_present="1", goodreads_presence="1", social_presence_score="2", author_best_known_bsr="41", author_prior_top100_title_count="2", nyt_list_any="0", nyt_list_count="0", ).to_row() observation_example = BookObservationRecord( book_id="philo_001", observation_date="2026-04-12", source_url="https://www.amazon.com/dp/B0EXAMPLE01", days_since_publication="88", amazon_bsr_overall="154", amazon_bsr_primary_category="12", amazon_bsr_secondary_category="47", best_visible_category_bsr="12", primary_category_name="Philosophy", secondary_category_name="Ethics & Morality", category_count="2", category_top10_count="0", category_top100_count="2", category_top1000_count="2", launch_window_30d_flag="0", hot_new_releases_flag="0", hot_new_releases_position="", movers_shakers_flag="1", movers_shakers_position="18", rating_average="4.6", rating_count="73", review_count="73", also_bought_visible_flag="1", also_bought_count="12", also_bought_bestseller_count="4", also_bought_shared_category_count="7", review_velocity_7d="5", review_velocity_30d="19", rank_change_24h="23", top100_flag="0", threshold_50_reviews_flag="1", threshold_event_flag="0", sustained_top100_60d_flag="", ar_proxy_score="0.61", csd_proxy_score="0.48", cpa_proxy_score="0.67", arm_observed_score="0.35", ).to_row() nyt_example = { "published_date": "2026-04-12", "list_name": "Hardcover Nonfiction", "list_name_encoded": "hardcover-nonfiction", "rank": "8", "rank_last_week": "0", "weeks_on_list": "1", "title": "Example Philosophy Title", "author": "Example Author", "publisher": "Example Press", "primary_isbn13": "9780000000001", "primary_isbn10": "0000000000", "amazon_product_url": "https://www.amazon.com/dp/B0EXAMPLE01", "book_image": "https://example.com/cover.jpg", "book_uri": "nyt://books/example", } nyt_history_example = { "query_value": "9780000000001", "query_type": "isbn", "title": "Example Philosophy Title", "author": "Example Author", "publisher": "Example Press", "description": "Example retrospective history row.", "contributor": "by Example Author", "contributor_note": "", "price": "28.00", "age_group": "", "primary_isbn13": "9780000000001", "primary_isbn10": "0000000000", "isbn13": "9780000000001", "isbn10": "0000000000", "history_list_name": "hardcover-nonfiction", "history_display_name": "Hardcover Nonfiction", "bestsellers_date": "2026-04-05", "published_date": "2026-04-12", "rank": "8", "rank_last_week": "10", "weeks_on_list": "2", "asterisk": "0", "dagger": "0", } amazon_input_example = { "book_id": "philo_001", "observation_date": "2026-04-12", "source_url": "https://www.amazon.com/dp/B0EXAMPLE01", "asin": "B0EXAMPLE01", "title": "Example Philosophy Title", "author_name": "Example Author", "days_since_publication": "88", "amazon_bsr_overall": "154", "amazon_bsr_primary_category": "12", "amazon_bsr_secondary_category": "47", "primary_category_name": "Philosophy", "secondary_category_name": "Ethics & Morality", "category_count": "2", "category_top10_count": "0", "category_top100_count": "2", "category_top1000_count": "2", "hot_new_releases_flag": "0", "hot_new_releases_position": "", "movers_shakers_flag": "1", "movers_shakers_position": "18", "rating_average": "4.6", "rating_count": "73", "review_count": "73", "also_bought_visible_flag": "1", "also_bought_count": "12", "also_bought_bestseller_count": "4", "also_bought_shared_category_count": "7", "notes": "Manual observation example row.", } books_master_path = write_csv_template(output_path / "books_master_template.csv", BOOKS_MASTER_FIELDS, [books_master_example]) observations_path = write_csv_template(output_path / "book_observations_template.csv", BOOK_OBSERVATION_FIELDS, [observation_example]) nyt_weekly_path = write_csv_template(output_path / "nyt_weekly_lists_template.csv", NYT_WEEKLY_FIELDS, [nyt_example]) nyt_history_path = write_csv_template(output_path / "nyt_bestseller_history_template.csv", NYT_HISTORY_FIELDS, [nyt_history_example]) amazon_input_path = write_csv_template(output_path / "amazon_observation_input_template.csv", AMAZON_OBSERVATION_INPUT_FIELDS, [amazon_input_example]) return TemplateBundle( books_master_path=books_master_path, observations_path=observations_path, nyt_weekly_path=nyt_weekly_path, nyt_history_path=nyt_history_path, amazon_input_path=amazon_input_path, metadata={ "books_master_fields": str(len(BOOKS_MASTER_FIELDS)), "book_observation_fields": str(len(BOOK_OBSERVATION_FIELDS)), "nyt_weekly_fields": str(len(NYT_WEEKLY_FIELDS)), "nyt_history_fields": str(len(NYT_HISTORY_FIELDS)), "amazon_input_fields": str(len(AMAZON_OBSERVATION_INPUT_FIELDS)), }, ) if __name__ == "__main__": bundle = create_validation_templates() print("Created validation templates:") print(f"- books_master: {bundle.books_master_path}") print(f"- book_observations: {bundle.observations_path}") print(f"- nyt_weekly_lists: {bundle.nyt_weekly_path}") print(f"- nyt_bestseller_history: {bundle.nyt_history_path}") print(f"- amazon_observation_input: {bundle.amazon_input_path}")