406 lines
15 KiB
Python
406 lines
15 KiB
Python
from collections import defaultdict
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from datetime import date
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import click
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import build_purchases
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from layer_helpers import compact_join, stable_id, write_csv_rows
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QUEUE_FIELDS = [
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"review_id",
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"retailer",
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"normalized_item_id",
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"catalog_id",
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"reason_code",
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"priority",
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"raw_item_names",
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"normalized_names",
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"upc_values",
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"example_prices",
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"seen_count",
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"status",
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"resolution_action",
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"resolution_notes",
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"created_at",
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"updated_at",
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]
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INFO_COLOR = "cyan"
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PROMPT_COLOR = "bright_yellow"
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WARNING_COLOR = "magenta"
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def build_review_queue(purchase_rows, resolution_rows):
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by_normalized = defaultdict(list)
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resolution_lookup = build_purchases.load_resolution_lookup(resolution_rows)
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for row in purchase_rows:
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normalized_item_id = row.get("normalized_item_id", "")
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if not normalized_item_id:
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continue
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by_normalized[normalized_item_id].append(row)
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today_text = str(date.today())
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queue_rows = []
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for normalized_item_id, rows in sorted(by_normalized.items()):
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current_resolution = resolution_lookup.get(normalized_item_id, {})
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if current_resolution.get("status") == "approved":
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continue
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unresolved_rows = [
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row
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for row in rows
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if not row.get("catalog_id")
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and row.get("is_item", "true") != "false"
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and row.get("is_fee") != "true"
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and row.get("is_discount_line") != "true"
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and row.get("is_coupon_line") != "true"
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]
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if not unresolved_rows:
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continue
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retailers = sorted({row["retailer"] for row in rows})
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review_id = stable_id("rvw", normalized_item_id)
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queue_rows.append(
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{
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"review_id": review_id,
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"retailer": " | ".join(retailers),
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"normalized_item_id": normalized_item_id,
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"catalog_id": current_resolution.get("catalog_id", ""),
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"reason_code": "missing_catalog_link",
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"priority": "high",
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"raw_item_names": compact_join(
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sorted({row["raw_item_name"] for row in rows if row["raw_item_name"]}),
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limit=8,
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),
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"normalized_names": compact_join(
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sorted(
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{
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row["normalized_item_name"]
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for row in rows
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if row["normalized_item_name"]
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}
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),
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limit=8,
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),
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"upc_values": compact_join(
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sorted({row["upc"] for row in rows if row["upc"]}),
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limit=8,
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),
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"example_prices": compact_join(
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sorted({row["line_total"] for row in rows if row["line_total"]}),
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limit=8,
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),
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"seen_count": str(len(rows)),
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"status": current_resolution.get("status", "pending"),
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"resolution_action": current_resolution.get("resolution_action", ""),
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"resolution_notes": current_resolution.get("resolution_notes", ""),
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"created_at": current_resolution.get("reviewed_at", today_text),
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"updated_at": today_text,
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}
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)
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return queue_rows
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def save_resolution_rows(path, rows):
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write_csv_rows(path, rows, build_purchases.RESOLUTION_FIELDS)
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def save_catalog_rows(path, rows):
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write_csv_rows(path, rows, build_purchases.CATALOG_FIELDS)
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def sort_related_items(rows):
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return sorted(
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rows,
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key=lambda row: (
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row.get("purchase_date", ""),
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row.get("order_id", ""),
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int(row.get("line_no", "0") or "0"),
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),
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reverse=True,
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)
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def build_catalog_suggestions(related_rows, purchase_rows, catalog_rows, limit=3):
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normalized_names = {
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row.get("normalized_item_name", "").strip().upper()
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for row in related_rows
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if row.get("normalized_item_name", "").strip()
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}
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upcs = {
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row.get("upc", "").strip()
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for row in related_rows
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if row.get("upc", "").strip()
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}
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catalog_by_id = {
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row.get("catalog_id", ""): row for row in catalog_rows if row.get("catalog_id", "")
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}
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suggestions = []
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seen_ids = set()
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def add_catalog_id(catalog_id, reason):
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if not catalog_id or catalog_id in seen_ids or catalog_id not in catalog_by_id:
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return False
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seen_ids.add(catalog_id)
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catalog_row = catalog_by_id[catalog_id]
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suggestions.append(
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{
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"catalog_id": catalog_id,
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"catalog_name": catalog_row.get("catalog_name", ""),
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"reason": reason,
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}
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)
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return len(suggestions) >= limit
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reviewed_purchase_rows = [
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row for row in purchase_rows if row.get("catalog_id") and row.get("normalized_item_id")
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]
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for row in reviewed_purchase_rows:
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if row.get("upc", "").strip() and row.get("upc", "").strip() in upcs:
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if add_catalog_id(row.get("catalog_id", ""), "exact upc"):
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return suggestions
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for row in reviewed_purchase_rows:
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if row.get("normalized_item_name", "").strip().upper() in normalized_names:
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if add_catalog_id(row.get("catalog_id", ""), "exact normalized name"):
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return suggestions
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for catalog_row in catalog_rows:
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catalog_name = catalog_row.get("catalog_name", "").strip().upper()
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if not catalog_name:
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continue
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for normalized_name in normalized_names:
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if normalized_name in catalog_name or catalog_name in normalized_name:
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if add_catalog_id(catalog_row.get("catalog_id", ""), "catalog name contains match"):
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return suggestions
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break
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return suggestions
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def build_display_lines(related_rows):
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lines = []
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for index, row in enumerate(sort_related_items(related_rows), start=1):
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lines.append(
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" [{index}] {purchase_date} | {line_total} | {raw_item_name} | {normalized_item_name} | "
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"{upc} | {retailer}".format(
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index=index,
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purchase_date=row.get("purchase_date", ""),
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line_total=row.get("line_total", ""),
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raw_item_name=row.get("raw_item_name", ""),
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normalized_item_name=row.get("normalized_item_name", ""),
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upc=row.get("upc", ""),
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retailer=row.get("retailer", ""),
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)
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)
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if row.get("image_url"):
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lines.append(f" {row['image_url']}")
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if not lines:
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lines.append(" [1] no matched item rows found")
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return lines
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def normalized_label(queue_row, related_rows):
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if queue_row.get("normalized_names"):
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return queue_row["normalized_names"].split(" | ")[0]
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for row in related_rows:
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if row.get("normalized_item_name"):
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return row["normalized_item_name"]
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return queue_row.get("normalized_item_id", "")
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def choose_existing_catalog(display_rows, normalized_name, matched_count):
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click.secho(
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f"Select the catalog_name to associate {matched_count} items with:",
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fg=INFO_COLOR,
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)
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for index, row in enumerate(display_rows, start=1):
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click.echo(f" [{index}] {row['catalog_name']} | {row['catalog_id']}")
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choice = click.prompt(
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click.style("selection", fg=PROMPT_COLOR),
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type=click.IntRange(1, len(display_rows)),
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)
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chosen_row = display_rows[choice - 1]
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click.echo(
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f'{matched_count} "{normalized_name}" items and future matches will be associated '
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f'with "{chosen_row["catalog_name"]}".'
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)
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click.secho("actions: [y]es [n]o [b]ack [s]kip [q]uit", fg=PROMPT_COLOR)
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confirm = click.prompt(
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click.style("confirm", fg=PROMPT_COLOR),
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type=click.Choice(["y", "n", "b", "s", "q"]),
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)
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if confirm == "y":
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return chosen_row["catalog_id"], ""
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if confirm == "s":
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return "", "skip"
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if confirm == "q":
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return "", "quit"
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return "", "back"
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def prompt_resolution(queue_row, related_rows, purchase_rows, catalog_rows, queue_index, queue_total):
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suggestions = build_catalog_suggestions(related_rows, purchase_rows, catalog_rows)
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normalized_name = normalized_label(queue_row, related_rows)
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matched_count = len(related_rows)
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click.echo("")
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click.secho(
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f"Review {queue_index}/{queue_total}: Resolve normalized_item {normalized_name} "
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"to catalog_name [__]?",
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fg=INFO_COLOR,
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)
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click.echo(f"{matched_count} matched items:")
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for line in build_display_lines(related_rows):
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click.echo(line)
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if suggestions:
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click.echo(f"{len(suggestions)} catalog_name suggestions found:")
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for index, suggestion in enumerate(suggestions, start=1):
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click.echo(f" [{index}] {suggestion['catalog_name']}")
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else:
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click.echo("no catalog_name suggestions found")
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click.secho("[l]ink existing [n]ew catalog e[x]clude [s]kip [q]uit:", fg=PROMPT_COLOR)
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action = click.prompt("", type=click.Choice(["l", "n", "x", "s", "q"]), prompt_suffix=" ")
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if action == "q":
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return None, None
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if action == "s":
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return {
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"normalized_item_id": queue_row["normalized_item_id"],
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"catalog_id": "",
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"resolution_action": "skip",
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"status": "pending",
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"resolution_notes": queue_row.get("resolution_notes", ""),
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"reviewed_at": str(date.today()),
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}, None
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if action == "x":
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notes = click.prompt(click.style("exclude notes", fg=PROMPT_COLOR), default="", show_default=False)
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return {
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"normalized_item_id": queue_row["normalized_item_id"],
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"catalog_id": "",
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"resolution_action": "exclude",
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"status": "approved",
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"resolution_notes": notes,
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"reviewed_at": str(date.today()),
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}, None
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if action == "l":
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display_rows = suggestions or [
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{
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"catalog_id": row["catalog_id"],
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"catalog_name": row["catalog_name"],
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"reason": "catalog sample",
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}
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for row in catalog_rows[:10]
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if row.get("catalog_id")
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]
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while True:
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catalog_id, outcome = choose_existing_catalog(display_rows, normalized_name, matched_count)
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if outcome == "skip":
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return {
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"normalized_item_id": queue_row["normalized_item_id"],
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"catalog_id": "",
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"resolution_action": "skip",
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"status": "pending",
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"resolution_notes": queue_row.get("resolution_notes", ""),
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"reviewed_at": str(date.today()),
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}, None
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if outcome == "quit":
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return None, None
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if outcome == "back":
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continue
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break
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notes = click.prompt(click.style("link notes", fg=PROMPT_COLOR), default="", show_default=False)
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return {
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"normalized_item_id": queue_row["normalized_item_id"],
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"catalog_id": catalog_id,
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"resolution_action": "link",
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"status": "approved",
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"resolution_notes": notes,
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"reviewed_at": str(date.today()),
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}, None
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catalog_name = click.prompt(click.style("catalog name", fg=PROMPT_COLOR), type=str)
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category = click.prompt(click.style("category", fg=PROMPT_COLOR), default="", show_default=False)
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product_type = click.prompt(click.style("product type", fg=PROMPT_COLOR), default="", show_default=False)
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notes = click.prompt(click.style("notes", fg=PROMPT_COLOR), default="", show_default=False)
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catalog_id = stable_id("cat", f"manual|{catalog_name}|{category}|{product_type}")
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catalog_row = {
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"catalog_id": catalog_id,
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"catalog_name": catalog_name,
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"category": category,
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"product_type": product_type,
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"brand": "",
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"variant": "",
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"size_value": "",
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"size_unit": "",
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"pack_qty": "",
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"measure_type": "",
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"notes": notes,
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"created_at": str(date.today()),
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"updated_at": str(date.today()),
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}
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resolution_row = {
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"normalized_item_id": queue_row["normalized_item_id"],
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"catalog_id": catalog_id,
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"resolution_action": "create",
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"status": "approved",
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"resolution_notes": notes,
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"reviewed_at": str(date.today()),
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}
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return resolution_row, catalog_row
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@click.command()
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@click.option("--purchases-csv", default="data/review/purchases.csv", show_default=True)
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@click.option("--queue-csv", default="data/review/review_queue.csv", show_default=True)
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@click.option("--resolutions-csv", default="data/review/review_resolutions.csv", show_default=True)
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@click.option("--catalog-csv", default="data/catalog.csv", show_default=True)
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@click.option("--limit", default=0, show_default=True, type=int)
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@click.option("--refresh-only", is_flag=True, help="Only rebuild review_queue.csv without prompting.")
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def main(purchases_csv, queue_csv, resolutions_csv, catalog_csv, limit, refresh_only):
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purchase_rows = build_purchases.read_optional_csv_rows(purchases_csv)
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resolution_rows = build_purchases.read_optional_csv_rows(resolutions_csv)
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catalog_rows = build_purchases.merge_catalog_rows(build_purchases.read_optional_csv_rows(catalog_csv), [])
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queue_rows = build_review_queue(purchase_rows, resolution_rows)
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write_csv_rows(queue_csv, queue_rows, QUEUE_FIELDS)
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click.echo(f"wrote {len(queue_rows)} rows to {queue_csv}")
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if refresh_only:
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return
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resolution_lookup = build_purchases.load_resolution_lookup(resolution_rows)
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catalog_by_id = {row["catalog_id"]: row for row in catalog_rows if row.get("catalog_id")}
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rows_by_normalized = defaultdict(list)
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for row in purchase_rows:
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normalized_item_id = row.get("normalized_item_id", "")
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if normalized_item_id:
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rows_by_normalized[normalized_item_id].append(row)
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reviewed = 0
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for index, queue_row in enumerate(queue_rows, start=1):
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if limit and reviewed >= limit:
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break
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related_rows = rows_by_normalized.get(queue_row["normalized_item_id"], [])
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result = prompt_resolution(queue_row, related_rows, purchase_rows, catalog_rows, index, len(queue_rows))
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if result == (None, None):
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break
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resolution_row, catalog_row = result
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resolution_lookup[resolution_row["normalized_item_id"]] = resolution_row
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if catalog_row and catalog_row["catalog_id"] not in catalog_by_id:
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catalog_by_id[catalog_row["catalog_id"]] = catalog_row
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catalog_rows.append(catalog_row)
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reviewed += 1
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save_resolution_rows(
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resolutions_csv,
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sorted(resolution_lookup.values(), key=lambda row: row["normalized_item_id"]),
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)
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save_catalog_rows(catalog_csv, sorted(catalog_by_id.values(), key=lambda row: row["catalog_id"]))
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click.echo(
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f"saved {len(resolution_lookup)} resolution rows to {resolutions_csv} "
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f"and {len(catalog_by_id)} catalog rows to {catalog_csv}"
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)
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if __name__ == "__main__":
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main()
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