feat: build a daily Transport Canada aircraft register release

- parse the headerless latin1 CCARCS export against its declared column layout
- derive transponder_code_hex from the 24-bit Mode S binary, populated for all 34,913 rows
- expand marks to C- and vintage CF- registrations and drop owner mailing addresses
- mirror the FAA build: same concat-with-latest-release dedup and output conventions

Generated-by: Claude Opus 5 <noreply@anthropic.com>

src/create_daily_tc_release.py

@@ -0,0 +1,56 @@
+from pathlib import Path
+from datetime import datetime, timezone
+import argparse
+
+parser = argparse.ArgumentParser(description="Create daily Transport Canada release")
+parser.add_argument("--date", type=str, help="Date to process (YYYY-MM-DD format, default: today)")
+args = parser.parse_args()
+
+if args.date:
+    date_str = args.date
+else:
+    date_str = datetime.now(timezone.utc).strftime("%Y-%m-%d")
+
+out_dir = Path("data/tc_ccarcs")
+out_dir.mkdir(parents=True, exist_ok=True)
+zip_name = f"ccarcsdb_{date_str}.zip"
+
+zip_path = out_dir / zip_name
+if not zip_path.exists():
+    url = "https://wwwapps.tc.gc.ca/saf-sec-sur/2/ccarcs-riacc/download/ccarcsdb.zip"
+    from urllib.request import Request, urlopen
+
+    # CCARCS rejects default urllib agents.
+    req = Request(
+        url,
+        headers={
+            "User-Agent": (
+                "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 "
+                "(KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36"
+            )
+        },
+        method="GET",
+    )
+
+    with urlopen(req, timeout=120) as r:
+        body = r.read()
+        zip_path.write_bytes(body)
+
+OUT_ROOT = Path("data/openairframes")
+OUT_ROOT.mkdir(parents=True, exist_ok=True)
+from derive_from_tc_ccarcs import convert_tc_ccarcs_to_df
+# Row-fingerprint dedup is source-agnostic; reused rather than forked.
+from derive_from_faa_master_txt import concat_faa_historical_df
+from get_latest_release import get_latest_aircraft_tc_csv_df
+df_new = convert_tc_ccarcs_to_df(zip_path, date_str)
+
+try:
+    df_base, start_date_str = get_latest_aircraft_tc_csv_df()
+    df_base = concat_faa_historical_df(df_base, df_new)
+    assert df_base['download_date'].is_monotonic_increasing, "download_date is not monotonic increasing"
+except Exception as e:
+    print(f"No existing Transport Canada release found, using only new data: {e}")
+    df_base = df_new
+    start_date_str = date_str
+
+df_base.to_csv(OUT_ROOT / f"openairframes_tc_{start_date_str}_{date_str}.csv", index=False)