Files

479 lines
15 KiB
Python
Executable File

#!/usr/bin/env python3
import argparse
import csv
import html
import re
from dataclasses import dataclass
from html.parser import HTMLParser
from pathlib import Path
FIELD_MAP = {
"run date": "run_date",
"master bol": "master_bol",
"house bol": "house_bol",
"voyage #": "voyage",
"bill type": "bill_type",
"carrier code": "carrier_code",
"imo #": "imo",
"vessel name": "vessel_name",
"arrival date": "arrival_date",
"us port": "us_port",
"foreign port": "foreign_port",
"quantity": "quantity",
"weight": "weight",
"type of service": "type_of_service",
"shipper": "shipper",
"consignee": "consignee",
"notify party": "notify_party",
"commodity": "commodity",
}
OUTPUT_FIELDS = [
"source",
"query",
"run_date",
"master_bol",
"house_bol",
"voyage",
"bill_type",
"carrier_code",
"imo",
"vessel_name",
"arrival_date",
"us_port",
"foreign_port",
"quantity",
"weight",
"type_of_service",
"shipper",
"consignee",
"notify_party",
"commodity",
"source_url",
]
PARTY_TERMS = ("VALVE", "CEVA", "INGRAM MICRO", "TECH-FRONT", "CHENG UEI")
PRODUCT_TERMS = (
"GAME CONSOLE",
"VIRTUAL REALITY",
"VIRTUAL REALITY DEVICES",
"WIRELESS PC CONTROLLER",
"VR CONTROLLER",
"CONTROLLER",
"STEAM",
"BASE STATION",
"HEADSET",
"DONGLE",
)
SOURCE_URLS = {
"ceva-valve": "https://www.importinfo.com/search?s=CEVA%20C%2FO%20VALVE%20CORPORATION",
"ingram-valve": "https://www.importinfo.com/search?s=INGRAM%20MICRO%20C%2FO%20VALVE%20CORPORATION",
"tech-front-game-console": "https://www.importinfo.com/search?s=TECH-FRONT%20GAME%20CONSOLE%20VALVE",
"valve-corporation-game-console": "https://www.importinfo.com/search?s=VALVE%20CORPORATION%20GAME%20CONSOLE",
"importgenius-ingram-valve": "https://www.importgenius.com/importers/ingram-micro-c-o-valve-corporation",
"importgenius-ceva-valve": "https://www.importgenius.com/importers/ceva-c-o-valve-corporation",
"importgenius-ceva-nl-valve": "https://www.importgenius.com/importers/ceva-nl-c-o-valve-corporation",
"importgenius-valve-corp": "https://www.importgenius.com/importers/valve-corp",
}
@dataclass
class InputSpec:
query: str
path: Path
source_url: str
class TableParser(HTMLParser):
def __init__(self):
super().__init__()
self.rows = []
self._current_headers = []
self._in_row = False
self._in_cell = False
self._cell_tag = ""
self._current_cells = []
self._current_cell_parts = []
self._row_has_header = False
self._row_has_data = False
def handle_starttag(self, tag, attrs):
if tag == "tr":
self._in_row = True
self._current_cells = []
self._row_has_header = False
self._row_has_data = False
elif self._in_row and tag in ("th", "td"):
self._in_cell = True
self._cell_tag = tag
self._current_cell_parts = []
if tag == "th":
self._row_has_header = True
else:
self._row_has_data = True
elif self._in_cell and tag == "br":
self._current_cell_parts.append(" ")
def handle_endtag(self, tag):
if self._in_cell and tag == self._cell_tag:
value = html.unescape(" ".join(self._current_cell_parts))
self._current_cells.append(" ".join(value.split()))
self._in_cell = False
self._cell_tag = ""
self._current_cell_parts = []
elif self._in_row and tag == "tr":
if self._row_has_header and self._current_cells:
self._current_headers = self._current_cells
elif self._row_has_data and self._current_cells:
self.rows.append((list(self._current_headers), self._current_cells))
self._in_row = False
def handle_data(self, data):
if self._in_cell:
self._current_cell_parts.append(data)
class TextParser(HTMLParser):
def __init__(self):
super().__init__()
self.parts = []
def handle_starttag(self, tag, attrs):
if tag in ("br", "p", "tr", "li", "h1", "h2", "h3", "section", "div"):
self.parts.append("\n")
def handle_endtag(self, tag):
if tag in ("p", "tr", "li", "h1", "h2", "h3", "section", "div"):
self.parts.append("\n")
def handle_data(self, data):
self.parts.append(data)
def text(self):
return html.unescape(" ".join("".join(self.parts).split()))
def lines(self):
raw_text = html.unescape("".join(self.parts))
return [" ".join(line.split()) for line in raw_text.splitlines() if line.strip()]
def normalize_header(value):
return FIELD_MAP.get(value.strip().lower(), "")
def parse_rows(spec):
if spec.query.startswith("importgenius-"):
return parse_importgenius_rows(spec)
parser = TableParser()
parser.feed(spec.path.read_text(encoding="utf-8", errors="ignore"))
rows = []
for headers, parsed_row in parser.rows:
fields = [normalize_header(header) for header in headers]
record = {field: "" for field in OUTPUT_FIELDS}
record["source"] = "importinfo"
record["query"] = spec.query
record["source_url"] = spec.source_url
for index, field in enumerate(fields):
if field and index < len(parsed_row):
record[field] = parsed_row[index]
if is_relevant(record):
rows.append(record)
return rows
def parse_importgenius_rows(spec):
parser = TextParser()
parser.feed(spec.path.read_text(encoding="utf-8", errors="ignore"))
text_lines = parser.lines() or [parser.text()]
importer_pattern = (
r"(?:INGRAM\s+MICRO|CEVA(?:\s+NL)?)\s+C/O\s+VALVE\s+CORPORATION"
r"|VALVE\s+CORPORATION"
)
supplier_pattern = (
r"TECH-?FRONT\s+\(CHONGQING\)\s+COMPUTER\s+CO"
r"|CHENG\s+UEI\s+PRECISION\s+IND\.\s+CO\s+LTD"
)
pattern = re.compile(
r"(?:^|\s)(?P<rank>\d+)\s+"
r"(?P<bol>[A-Z0-9]+)\s+"
r"(?P<product>[A-Z0-9][A-Z0-9 ./&()'-]+?)\s+"
r"(?P<importer>" + importer_pattern + r")\s+"
r"(?P<supplier>" + supplier_pattern + r")\s+"
r"(?P<arrival>\d{4}-\d{2}-\d{2})\s+"
r"(?P<country>[A-Za-z ]+?)\s+"
r"(?P<weight>[\d,]+\s+Kgs)\s+"
r"(?P<quantity>\d+\s+PKG)",
re.IGNORECASE,
)
importer_re = re.compile(importer_pattern, re.IGNORECASE)
supplier_re = re.compile(supplier_pattern, re.IGNORECASE)
rank_re = re.compile(r"\d+")
bol_re = re.compile(r"[A-Z0-9]+")
date_re = re.compile(r"\d{4}-\d{2}-\d{2}")
country_re = re.compile(r"[A-Za-z ]+")
weight_re = re.compile(r"[\d,]+\s+Kgs", re.IGNORECASE)
quantity_re = re.compile(r"\d+\s+PKG", re.IGNORECASE)
def build_record(match):
record = {field: "" for field in OUTPUT_FIELDS}
record["source"] = "importgenius"
record["query"] = spec.query
record["house_bol"] = match["bol"].upper()
record["arrival_date"] = match["arrival"]
record["foreign_port"] = match["country"].strip()
record["quantity"] = " ".join(match["quantity"].split())
record["weight"] = " ".join(match["weight"].split())
record["shipper"] = normalize_company(match["supplier"])
record["consignee"] = normalize_company(match["importer"])
record["notify_party"] = record["consignee"]
record["commodity"] = " ".join(match["product"].upper().split()).strip(" .")
record["source_url"] = spec.source_url
return record
rows = []
for line in text_lines:
for match in pattern.finditer(line):
record = build_record(match.groupdict())
if is_relevant(record):
rows.append(record)
for index in range(0, max(0, len(text_lines) - 8)):
values = text_lines[index : index + 9]
if not (
rank_re.fullmatch(values[0])
and bol_re.fullmatch(values[1])
and importer_re.fullmatch(values[3])
and supplier_re.fullmatch(values[4])
and date_re.fullmatch(values[5])
and country_re.fullmatch(values[6])
and weight_re.fullmatch(values[7])
and quantity_re.fullmatch(values[8])
):
continue
record = build_record(
{
"bol": values[1],
"product": values[2],
"importer": values[3],
"supplier": values[4],
"arrival": values[5],
"country": values[6],
"weight": values[7],
"quantity": values[8],
}
)
if is_relevant(record):
rows.append(record)
return rows
def normalize_company(value):
return " ".join(value.upper().replace("TECH FRONT", "TECH-FRONT").split())
def is_relevant(record):
party_text = " ".join(
(
record["shipper"],
record["consignee"],
record["notify_party"],
)
).upper()
record_text = " ".join(
(
record["query"],
record["run_date"],
record["master_bol"],
record["house_bol"],
record["voyage"],
record["bill_type"],
record["carrier_code"],
record["imo"],
record["vessel_name"],
record["arrival_date"],
record["us_port"],
record["foreign_port"],
record["quantity"],
record["weight"],
record["type_of_service"],
record["commodity"],
)
).upper()
commodity_text = record["commodity"].upper()
has_valve_signal = "VALVE" in party_text or "VALVE CORPORATION" in record_text
return has_valve_signal and any(term in party_text for term in PARTY_TERMS) and any(
term in commodity_text for term in PRODUCT_TERMS
)
def row_identity(row):
if row["house_bol"]:
return row["house_bol"]
if row["master_bol"]:
return row["master_bol"]
return "\t".join(
(
row["arrival_date"],
row["shipper"],
row["consignee"],
row["quantity"],
row["weight"],
row["commodity"],
)
)
def dedupe(rows):
seen = set()
output = []
for row in rows:
identity = row_identity(row)
if identity in seen:
continue
seen.add(identity)
output.append(row)
return output
def write_tsv(rows, output):
output.parent.mkdir(parents=True, exist_ok=True)
with output.open("w", encoding="utf-8", newline="") as handle:
writer = csv.DictWriter(handle, fieldnames=OUTPUT_FIELDS, delimiter="\t")
writer.writeheader()
writer.writerows(rows)
def key_line(row):
bol = row["house_bol"] or row["master_bol"]
return "\t".join(
(
row["arrival_date"],
row["consignee"],
row["shipper"],
row["commodity"],
row["quantity"],
row["weight"],
bol,
)
)
def write_key_lines(rows, output):
output.parent.mkdir(parents=True, exist_ok=True)
content = "\n".join(key_line(row) for row in rows)
if rows:
content += "\n"
output.write_text(content, encoding="utf-8")
def write_report(rows, output):
output.parent.mkdir(parents=True, exist_ok=True)
lines = [
"# Customs Shipments",
"",
f"Relevant shipment count: {len(rows)}",
"",
"## Newest Relevant Shipments",
"",
]
if rows:
lines.extend(
[
"| Arrival Date | Consignee | Shipper | Commodity | Quantity | Weight | BOL |",
"| --- | --- | --- | --- | --- | --- | --- |",
]
)
for row in rows[:25]:
lines.append(
"| "
+ " | ".join(
(
row["arrival_date"],
row["consignee"],
row["shipper"],
row["commodity"],
row["quantity"],
row["weight"],
row["house_bol"] or row["master_bol"],
)
)
+ " |"
)
else:
lines.append("No relevant ImportInfo shipment rows found.")
lines.extend(
[
"",
"## Limitations",
"",
"Customs data is corroborating evidence, not a standalone confirmation. "
"Product descriptions such as GAME CONSOLE, VIRTUAL REALITY DEVICES, "
"and WIRELESS PC CONTROLLER do not prove the final Valve retail SKU without "
"other identifiers.",
"",
]
)
output.write_text("\n".join(lines), encoding="utf-8")
def parse_input(value):
slug, separator, path = value.partition("=")
if not separator or not slug or not path:
raise argparse.ArgumentTypeError("--input values must use slug=path")
return InputSpec(slug, Path(path), SOURCE_URLS.get(slug, ""))
def parse_manifest(path):
specs = []
with path.open(encoding="utf-8", newline="") as handle:
reader = csv.reader(handle, delimiter="\t")
for row in reader:
if not row or not any(cell.strip() for cell in row):
continue
if row[0].strip().lower() == "slug":
continue
if len(row) < 3:
continue
slug = row[0].strip()
source_url = row[1].strip() or SOURCE_URLS.get(slug, "")
html_path = row[2].strip()
if not slug or not html_path:
continue
specs.append(InputSpec(slug, Path(html_path), source_url))
return specs
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--input", action="append", default=[], type=parse_input)
parser.add_argument("--manifest", action="append", default=[], type=Path)
parser.add_argument("--report-dir", required=True, type=Path)
args = parser.parse_args()
specs = list(args.input)
for manifest in args.manifest:
if manifest.exists():
specs.extend(parse_manifest(manifest))
rows = []
for spec in specs:
if spec.path.exists():
rows.extend(parse_rows(spec))
rows = sorted(
dedupe(rows),
key=lambda row: (row["arrival_date"], row["run_date"]),
reverse=True,
)
report_dir = args.report_dir
write_tsv(rows, report_dir / "customs-shipments.tsv")
write_key_lines(rows, report_dir / "customs-shipments-key-lines.txt")
write_report(rows, report_dir / "customs-shipments.md")
if __name__ == "__main__":
main()