Handle ADSB when ADSB.lol has not released any data for day. Just rerelease latest adsb

.github/workflows/openairframes-daily-release.yaml

@@ -101,6 +101,51 @@ jobs:
       date: ${{ needs.resolve-dates.outputs.adsb_date }}
       concat_with_latest_csv: true
 
+  adsb-reduce:
+    needs: [resolve-dates, adsb-to-aircraft]
+    if: always() && github.event_name != 'schedule' && needs.adsb-to-aircraft.result == 'failure'
+    runs-on: ubuntu-24.04-arm
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Setup Python
+        uses: actions/setup-python@v6
+        with:
+          python-version: '3.12'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r requirements.txt
+
+      - name: Download compressed outputs
+        uses: actions/download-artifact@v4
+        with:
+          pattern: adsb-compressed-${{ needs.resolve-dates.outputs.adsb_date }}-part-*
+          path: data/output/compressed/${{ needs.resolve-dates.outputs.adsb_date }}
+          merge-multiple: true
+
+      - name: Concatenate final outputs
+        env:
+          DATE: ${{ needs.resolve-dates.outputs.adsb_date }}
+          CONCAT_WITH_LATEST_CSV: true
+        run: |
+          EXTRA=""
+          if [ "$CONCAT_WITH_LATEST_CSV" = "true" ]; then
+            EXTRA="--concat_with_latest_csv"
+          fi
+          python -m src.adsb.concat_parquet_to_final --date "$DATE" $EXTRA
+          ls -lah data/output/ || true
+
+      - name: Upload final artifacts
+        uses: actions/upload-artifact@v4
+        with:
+          name: openairframes_adsb-${{ needs.resolve-dates.outputs.adsb_date }}
+          path: data/output/openairframes_adsb_*
+          retention-days: 30
+          if-no-files-found: error
+
   build-community:
     runs-on: ubuntu-latest
     if: github.event_name != 'schedule'
@@ -188,13 +233,13 @@ jobs:
 
   create-release:
     runs-on: ubuntu-latest
-    needs: [resolve-dates, build-faa, adsb-to-aircraft, build-community, build-adsbexchange-json, build-mictronics-db]
+    needs: [resolve-dates, build-faa, adsb-to-aircraft, adsb-reduce, build-community, build-adsbexchange-json, build-mictronics-db]
     if: github.event_name != 'schedule' && !cancelled()
     steps:
-      - name: Check adsb-to-aircraft status
-        if: needs.adsb-to-aircraft.result != 'success'
+      - name: Check ADS-B workflow status
+        if: needs.adsb-to-aircraft.result != 'success' && needs.adsb-reduce.result != 'success'
         run: |
-          echo "WARNING: adsb-to-aircraft result was '${{ needs.adsb-to-aircraft.result }}', will continue without ADS-B artifacts"
+          echo "WARNING: ADS-B workflow failed (adsb-to-aircraft='${{ needs.adsb-to-aircraft.result }}', adsb-reduce='${{ needs.adsb-reduce.result }}'), will continue without ADS-B artifacts"
 
       - name: Checkout for gh CLI
         uses: actions/checkout@v4
@@ -211,7 +256,7 @@ jobs:
 
       - name: Download ADS-B artifacts
         uses: actions/download-artifact@v5
-        if: needs.adsb-to-aircraft.result == 'success'
+        if: needs.adsb-to-aircraft.result == 'success' || needs.adsb-reduce.result == 'success'
         continue-on-error: true
         with:
           name: openairframes_adsb-${{ needs.resolve-dates.outputs.adsb_date }}

src/adsb/concat_parquet_to_final.py

@@ -1,7 +1,7 @@
 from pathlib import Path
 import polars as pl
 import argparse
-
+import os
 OUTPUT_DIR = Path("./data/output")
 CORRECT_ORDER_OF_COLUMNS = ["time", "icao", "r", "t", "dbFlags", "ownOp", "year", "desc", "aircraft_category"]
 
@@ -13,26 +13,25 @@ def main():
 
     compressed_dir = OUTPUT_DIR / "compressed"
     date_dir = compressed_dir / args.date
-    if not date_dir.is_dir():
-        raise FileNotFoundError(f"No date folder found: {date_dir}")
 
     parquet_files = sorted(date_dir.glob("*.parquet"))
-    if not parquet_files:
-        raise FileNotFoundError(f"No parquet files found in {date_dir}")
+    df = None
+    if parquet_files: # TODO: This logic could be updated slightly.
+        print(f"No parquet files found in {date_dir}")
 
-    frames = [pl.read_parquet(p) for p in parquet_files]
-    df = pl.concat(frames, how="vertical", rechunk=True)
+        frames = [pl.read_parquet(p) for p in parquet_files]
+        df = pl.concat(frames, how="vertical", rechunk=True)
 
-    df = df.sort(["time", "icao"])
-    df = df.select(CORRECT_ORDER_OF_COLUMNS)
-    
-    output_path = OUTPUT_DIR / f"openairframes_adsb_{args.date}.parquet"
-    print(f"Writing combined parquet to {output_path} with {df.height} rows")
-    df.write_parquet(output_path)
+        df = df.sort(["time", "icao"])
+        df = df.select(CORRECT_ORDER_OF_COLUMNS)
+        
+        output_path = OUTPUT_DIR / f"openairframes_adsb_{args.date}.parquet"
+        print(f"Writing combined parquet to {output_path} with {df.height} rows")
+        df.write_parquet(output_path)
 
-    csv_output_path = OUTPUT_DIR / f"openairframes_adsb_{args.date}.csv.gz"
-    print(f"Writing combined csv.gz to {csv_output_path} with {df.height} rows")
-    df.write_csv(csv_output_path, compression="gzip")
+        csv_output_path = OUTPUT_DIR / f"openairframes_adsb_{args.date}.csv.gz"
+        print(f"Writing combined csv.gz to {csv_output_path} with {df.height} rows")
+        df.write_csv(csv_output_path, compression="gzip")
 
     if args.concat_with_latest_csv:
         print("Loading latest CSV from GitHub releases to concatenate with...")
@@ -46,9 +45,10 @@ def main():
         csv_end_dt = datetime.strptime(csv_end_date, "%Y-%m-%d")
         args_dt = datetime.strptime(args.date, "%Y-%m-%d")
         
-        if csv_end_dt >= args_dt:
+        if df is None or csv_end_dt >= args_dt:
             print(f"Latest CSV already includes data through {args.date} (end_date={csv_end_date} is exclusive)")
             print("Writing latest CSV directly without concatenation to avoid duplicates")
+            os.makedirs(OUTPUT_DIR, exist_ok=True)
             final_csv_output_path = OUTPUT_DIR / f"openairframes_adsb_{csv_start_date}_{csv_end_date}.csv.gz"
             df_latest_csv = df_latest_csv.select(CORRECT_ORDER_OF_COLUMNS)
             df_latest_csv.write_csv(final_csv_output_path, compression="gzip")