385 lines
14 KiB
Python
385 lines
14 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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"observed_product_id",
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"canonical_product_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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def build_review_queue(purchase_rows, resolution_rows):
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by_observed = 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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observed_product_id = row.get("observed_product_id", "")
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if not observed_product_id:
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continue
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by_observed[observed_product_id].append(row)
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today_text = str(date.today())
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queue_rows = []
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for observed_product_id, rows in sorted(by_observed.items()):
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current_resolution = resolution_lookup.get(observed_product_id, {})
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if current_resolution.get("status") == "approved":
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continue
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unresolved_rows = [row for row in rows if not row.get("canonical_product_id")]
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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", observed_product_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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"observed_product_id": observed_product_id,
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"canonical_product_id": current_resolution.get("canonical_product_id", ""),
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"reason_code": "missing_canonical_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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INFO_COLOR = "cyan"
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PROMPT_COLOR = "bright_yellow"
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WARNING_COLOR = "magenta"
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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_canonical_suggestions(related_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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suggestions = []
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seen_ids = set()
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def add_matches(rows, reason):
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for row in rows:
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canonical_product_id = row.get("canonical_product_id", "")
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if not canonical_product_id or canonical_product_id in seen_ids:
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continue
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seen_ids.add(canonical_product_id)
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suggestions.append(
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{
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"canonical_product_id": canonical_product_id,
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"canonical_name": row.get("canonical_name", ""),
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"reason": reason,
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}
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)
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if len(suggestions) >= limit:
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return True
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return False
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exact_upc_rows = [
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row
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for row in catalog_rows
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if row.get("upc", "").strip() and row.get("upc", "").strip() in upcs
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]
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if add_matches(exact_upc_rows, "exact upc"):
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return suggestions
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exact_name_rows = [
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row
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for row in catalog_rows
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if row.get("canonical_name", "").strip().upper() in normalized_names
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]
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if add_matches(exact_name_rows, "exact normalized name"):
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return suggestions
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contains_rows = []
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for row in catalog_rows:
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canonical_name = row.get("canonical_name", "").strip().upper()
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if not canonical_name:
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continue
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for normalized_name in normalized_names:
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if normalized_name in canonical_name or canonical_name in normalized_name:
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contains_rows.append(row)
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break
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add_matches(contains_rows, "canonical name contains match")
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return suggestions
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def build_display_lines(queue_row, related_rows):
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lines = []
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for row in sort_related_items(related_rows):
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lines.append(
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" - {purchase_date} | {line_total} | {raw_item_name} | {normalized_item_name} | "
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"{upc} | {retailer}".format(
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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" image: {row['image_url']}")
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if not lines:
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lines.append(" - no matched item rows found")
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return lines
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def prompt_resolution(queue_row, related_rows, catalog_rows, queue_index, queue_total):
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suggestions = build_canonical_suggestions(related_rows, catalog_rows)
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click.echo("")
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click.secho(
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f"Review observed product ({queue_index}/{queue_total})",
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fg=INFO_COLOR,
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)
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click.echo(
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"Resolve this observed product group to an existing canonical_name, "
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"a new canonical_name, exclude it, or skip it."
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)
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click.echo(f"observed_product_id: {queue_row['observed_product_id']}")
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click.echo(f"retailer: {queue_row['retailer']}")
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click.echo(f"observed_name(s): {queue_row['normalized_names']}")
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click.echo(f"upc(s): {queue_row['upc_values']}")
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click.echo(f"seen_count: {queue_row['seen_count']}")
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click.secho("matched items:", fg=INFO_COLOR)
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for line in build_display_lines(queue_row, related_rows):
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click.echo(line)
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if suggestions:
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click.secho("suggested canonical_name values:", fg=INFO_COLOR)
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for suggestion in suggestions:
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click.echo(
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f" - {suggestion['canonical_product_id']} | {suggestion['canonical_name']} "
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f"({suggestion['reason']})"
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)
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else:
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click.secho("no deterministic canonical suggestions found", fg=WARNING_COLOR)
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click.secho(
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"actions: [l]ink existing [n]ew canonical e[x]clude [s]kip [q]uit",
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fg=PROMPT_COLOR,
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)
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action = click.prompt(
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click.style("action", fg=PROMPT_COLOR),
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type=click.Choice(["l", "n", "x", "s", "q"]),
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)
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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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"observed_product_id": queue_row["observed_product_id"],
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"canonical_product_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(
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click.style("exclude notes", fg=PROMPT_COLOR),
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default="",
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show_default=False,
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)
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return {
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"observed_product_id": queue_row["observed_product_id"],
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"canonical_product_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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"canonical_product_id": row["canonical_product_id"],
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"canonical_name": row["canonical_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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]
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click.secho("existing canonical_name values:", fg=INFO_COLOR)
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for row in display_rows:
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click.echo(
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f" - {row['canonical_product_id']} | {row['canonical_name']} ({row['reason']})"
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)
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canonical_product_id = click.prompt(
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click.style("canonical product id", fg=PROMPT_COLOR),
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type=str,
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)
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notes = click.prompt(
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click.style("link notes", fg=PROMPT_COLOR),
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default="",
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show_default=False,
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)
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return {
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"observed_product_id": queue_row["observed_product_id"],
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"canonical_product_id": canonical_product_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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canonical_name = click.prompt(click.style("canonical name", fg=PROMPT_COLOR), type=str)
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category = click.prompt(
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click.style("category", fg=PROMPT_COLOR),
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default="",
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show_default=False,
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)
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product_type = click.prompt(
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click.style("product type", fg=PROMPT_COLOR),
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default="",
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show_default=False,
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)
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notes = click.prompt(
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click.style("notes", fg=PROMPT_COLOR),
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default="",
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show_default=False,
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)
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canonical_product_id = stable_id("gcan", f"manual|{canonical_name}|{category}|{product_type}")
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canonical_row = {
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"canonical_product_id": canonical_product_id,
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"canonical_name": canonical_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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"observed_product_id": queue_row["observed_product_id"],
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"canonical_product_id": canonical_product_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, canonical_row
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@click.command()
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@click.option("--purchases-csv", default="combined_output/purchases.csv", show_default=True)
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@click.option("--queue-csv", default="combined_output/review_queue.csv", show_default=True)
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@click.option("--resolutions-csv", default="combined_output/review_resolutions.csv", show_default=True)
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@click.option("--catalog-csv", default="combined_output/canonical_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.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["canonical_product_id"]: row for row in catalog_rows if row.get("canonical_product_id")}
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rows_by_observed = defaultdict(list)
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for row in purchase_rows:
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observed_product_id = row.get("observed_product_id", "")
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if observed_product_id:
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rows_by_observed[observed_product_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_observed.get(queue_row["observed_product_id"], [])
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result = prompt_resolution(queue_row, related_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, canonical_row = result
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resolution_lookup[resolution_row["observed_product_id"]] = resolution_row
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if canonical_row and canonical_row["canonical_product_id"] not in catalog_by_id:
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catalog_by_id[canonical_row["canonical_product_id"]] = canonical_row
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catalog_rows.append(canonical_row)
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reviewed += 1
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save_resolution_rows(resolutions_csv, sorted(resolution_lookup.values(), key=lambda row: row["observed_product_id"]))
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save_catalog_rows(catalog_csv, sorted(catalog_by_id.values(), key=lambda row: row["canonical_product_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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