add hisotircal-adsb-run.yaml

This reverts commit ccf55b2308.

.github/workflows/historical-adsb-run.yaml

@@ -1,4 +1,4 @@
-name: adsb-to-aircraft-multiple-day-run
+name: Historical ADS-B Run
 
 on:
   workflow_dispatch:
@@ -26,11 +26,10 @@ jobs:
         run: |
           python - <<'PY'
           import json
-          import os
           from datetime import datetime, timedelta
 
-          start = datetime.strptime(os.environ["START_DATE"], "%Y-%m-%d")
+          start = datetime.strptime("${START_DATE}", "%Y-%m-%d")
-          end = datetime.strptime(os.environ["END_DATE"], "%Y-%m-%d")
+          end = datetime.strptime("${END_DATE}", "%Y-%m-%d")
           if end <= start:
             raise SystemExit("end_date must be after start_date")
 
@@ -40,7 +39,7 @@ jobs:
             dates.append(cur.strftime("%Y-%m-%d"))
             cur += timedelta(days=1)
 
-          with open(os.environ["GITHUB_OUTPUT"], "a") as f:
+          with open("$GITHUB_OUTPUT", "a") as f:
             f.write(f"dates={json.dumps(dates)}\n")
           PY
 
@@ -50,7 +49,7 @@ jobs:
       fail-fast: true
       matrix:
         date: ${{ fromJson(needs.generate-dates.outputs.dates) }}
-    uses: ./.github/workflows/adsb-to-aircraft-for-day.yaml
+    uses: ./.github/workflows/historical-adsb.yaml
     with:
       date: ${{ matrix.date }}
 
@@ -84,15 +83,14 @@ jobs:
           END_DATE: ${{ inputs.end_date }}
         run: |
           python - <<'PY'
-          import os
           import re
           from pathlib import Path
           import polars as pl
 
-          start = os.environ["START_DATE"]
+          start = "${START_DATE}"
-          end = os.environ["END_DATE"]
+          end = "${END_DATE}"
           daily_dir = Path("outputs/daily")
-          files = sorted(daily_dir.glob("openairframes_adsb_*.csv.gz"))
+          files = sorted(daily_dir.glob("openairframes_adsb_*.csv"))
           if not files:
             raise SystemExit("No daily CSVs found")
 
@@ -104,8 +102,8 @@ jobs:
           frames = [pl.read_csv(p) for p in files]
           df = pl.concat(frames, how="vertical", rechunk=True)
 
-          output_path = Path("outputs") / f"openairframes_adsb_{start}_{end}.csv.gz"
+          output_path = Path("outputs") / f"openairframes_adsb_{start}_{end}.csv"
-          df.write_csv(output_path, compression="gzip")
+          df.write_csv(output_path)
           print(f"Wrote {output_path} with {df.height} rows")
           PY
 
@@ -113,6 +111,5 @@ jobs:
         uses: actions/upload-artifact@v4
         with:
           name: openairframes_adsb-${{ inputs.start_date }}-${{ inputs.end_date }}
-          path: outputs/openairframes_adsb_${{ inputs.start_date }}_${{ inputs.end_date }}.csv.gz
+          path: outputs/openairframes_adsb_${{ inputs.start_date }}_${{ inputs.end_date }}.csv
           retention-days: 30
-# gh workflow run adsb-to-aircraft-multiple-day-run.yaml --repo ggman12/OpenAirframes --ref jonah/fix-historical-proper -f start_date=2025-12-31 -f end_date=2026-01-02

.github/workflows/historical-adsb.yaml

@@ -7,22 +7,12 @@ on:
         description: 'YYYY-MM-DD'
         required: true
         type: string
-      concat_with_latest_csv:
-        description: 'Also concatenate with latest CSV from GitHub releases'
-        required: false
-        type: boolean
-        default: false
   workflow_call:
     inputs:
       date:
         description: 'YYYY-MM-DD'
         required: true
         type: string
-      concat_with_latest_csv:
-        description: 'Also concatenate with latest CSV from GitHub releases'
-        required: false
-        type: boolean
-        default: false
 
 jobs:
   adsb-extract:
@@ -49,38 +39,11 @@ jobs:
           python -m src.adsb.download_and_list_icaos --date "$DATE"
           ls -lah data/output/adsb_archives/"$DATE" || true
 
-      - name: Upload archive part 0
+      - name: Upload archives
         uses: actions/upload-artifact@v4
         with:
-          name: adsb-archive-${{ inputs.date }}-part-0
+          name: adsb-archives-${{ inputs.date }}
-          path: data/output/adsb_archives/${{ inputs.date }}/${{ inputs.date }}_part_0.tar.gz
+          path: data/output/adsb_archives/${{ inputs.date }}
-          retention-days: 1
-          compression-level: 0
-          if-no-files-found: error
-
-      - name: Upload archive part 1
-        uses: actions/upload-artifact@v4
-        with:
-          name: adsb-archive-${{ inputs.date }}-part-1
-          path: data/output/adsb_archives/${{ inputs.date }}/${{ inputs.date }}_part_1.tar.gz
-          retention-days: 1
-          compression-level: 0
-          if-no-files-found: error
-
-      - name: Upload archive part 2
-        uses: actions/upload-artifact@v4
-        with:
-          name: adsb-archive-${{ inputs.date }}-part-2
-          path: data/output/adsb_archives/${{ inputs.date }}/${{ inputs.date }}_part_2.tar.gz
-          retention-days: 1
-          compression-level: 0
-          if-no-files-found: error
-
-      - name: Upload archive part 3
-        uses: actions/upload-artifact@v4
-        with:
-          name: adsb-archive-${{ inputs.date }}-part-3
-          path: data/output/adsb_archives/${{ inputs.date }}/${{ inputs.date }}_part_3.tar.gz
           retention-days: 1
           compression-level: 0
           if-no-files-found: error
@@ -91,7 +54,7 @@ jobs:
     strategy:
       fail-fast: true
       matrix:
-        part_id: [0, 1, 2, 3]
+        part_id: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
     steps:
       - name: Checkout
         uses: actions/checkout@v6
@@ -106,22 +69,12 @@ jobs:
           python -m pip install --upgrade pip
           pip install -r requirements.txt
 
-      - name: Download archive part
+      - name: Download archives
         uses: actions/download-artifact@v4
         with:
-          name: adsb-archive-${{ inputs.date }}-part-${{ matrix.part_id }}
+          name: adsb-archives-${{ inputs.date }}
           path: data/output/adsb_archives/${{ inputs.date }}
 
-      - name: Verify archive
-        run: |
-          FILE="data/output/adsb_archives/${{ inputs.date }}/${{ inputs.date }}_part_${{ matrix.part_id }}.tar.gz"
-          ls -lah data/output/adsb_archives/${{ inputs.date }}/
-          if [ ! -f "$FILE" ]; then
-            echo "::error::Archive not found: $FILE"
-            exit 1
-          fi
-          echo "Verified: $(du -h "$FILE")"
-
       - name: Process part
         env:
           DATE: ${{ inputs.date }}
@@ -158,25 +111,19 @@ jobs:
         uses: actions/download-artifact@v4
         with:
           pattern: adsb-compressed-${{ inputs.date }}-part-*
-          path: data/output/compressed/${{ inputs.date }}
+          path: outputs/compressed/${{ inputs.date }}
           merge-multiple: true
 
       - name: Concatenate final outputs
         env:
           DATE: ${{ inputs.date }}
-          CONCAT_WITH_LATEST_CSV: ${{ inputs.concat_with_latest_csv }}
         run: |
-          EXTRA=""
+          python src/adsb/concat_parquet_to_final.py --date "$DATE"
-          if [ "$CONCAT_WITH_LATEST_CSV" = "true" ]; then
+          ls -lah outputs/ || true
-            EXTRA="--concat_with_latest_csv"
-          fi
-          python -m src.adsb.concat_parquet_to_final --date "$DATE" $EXTRA
-          ls -lah data/output/ || true
 
       - name: Upload final artifacts
         uses: actions/upload-artifact@v4
         with:
           name: openairframes_adsb-${{ inputs.date }}
-          path: data/output/openairframes_adsb_*
+          path: outputs/openairframes_adsb_${{ inputs.date }}_${{ inputs.date }}.*
           retention-days: 30
-          if-no-files-found: error

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

@@ -1,4 +1,4 @@
-name: openairframes-daily-release
+name: OpenAirframes Daily Release
 
 on:
   schedule:
@@ -76,75 +76,159 @@ jobs:
             data/faa_releasable/ReleasableAircraft_*.zip
           retention-days: 1
 
-  resolve-dates:
+  adsb-extract:
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-24.04-arm
     if: github.event_name != 'schedule'
     outputs:
-      date: ${{ steps.out.outputs.date }}
+      manifest-exists: ${{ steps.check.outputs.exists }}
-      adsb_date: ${{ steps.out.outputs.adsb_date }}
-    steps:
-      - id: out
-        run: |
-          if [ -n "${{ inputs.date }}" ]; then
-            echo "date=${{ inputs.date }}" >> "$GITHUB_OUTPUT"
-            echo "adsb_date=${{ inputs.date }}" >> "$GITHUB_OUTPUT"
-          else
-            echo "date=$(date -u -d 'yesterday' +%Y-%m-%d)" >> "$GITHUB_OUTPUT"
-            echo "adsb_date=$(date -u -d 'yesterday' +%Y-%m-%d)" >> "$GITHUB_OUTPUT"
-          fi
-
-  adsb-to-aircraft:
-    needs: resolve-dates
-    if: github.event_name != 'schedule'
-    uses: ./.github/workflows/adsb-to-aircraft-for-day.yaml
-    with:
-      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
+        with:
+          fetch-depth: 0
 
       - name: Setup Python
         uses: actions/setup-python@v6
         with:
-          python-version: '3.12'
+          python-version: "3.14"
 
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip
           pip install -r requirements.txt
 
-      - name: Download compressed outputs
+      - name: Download and extract ADS-B data
-        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 }}
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          CONCAT_WITH_LATEST_CSV: true
         run: |
-          EXTRA=""
+          python -m src.adsb.download_and_list_icaos ${{ inputs.date && format('--date {0}', inputs.date) || '' }}
-          if [ "$CONCAT_WITH_LATEST_CSV" = "true" ]; then
+          ls -lah data/output/
-            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
+      - name: Check manifest exists
+        id: check
+        run: |
+          if ls data/output/icao_manifest_*.txt 1>/dev/null 2>&1; then
+            echo "exists=true" >> "$GITHUB_OUTPUT"
+          else
+            echo "exists=false" >> "$GITHUB_OUTPUT"
+          fi
+
+      - name: Create tar of extracted data
+        run: |
+          cd data/output
+          tar -cf extracted_data.tar *-planes-readsb-prod-0.tar_0 icao_manifest_*.txt
+          ls -lah extracted_data.tar
+
+      - name: Upload extracted data
         uses: actions/upload-artifact@v4
         with:
-          name: openairframes_adsb-${{ needs.resolve-dates.outputs.adsb_date }}
+          name: adsb-extracted
-          path: data/output/openairframes_adsb_*
+          path: data/output/extracted_data.tar
-          retention-days: 30
+          retention-days: 1
-          if-no-files-found: error
+          compression-level: 0  # Already compressed trace files
+
+  adsb-map:
+    runs-on: ubuntu-24.04-arm
+    needs: adsb-extract
+    if: github.event_name != 'schedule' && needs.adsb-extract.outputs.manifest-exists == 'true'
+    strategy:
+      fail-fast: false
+      matrix:
+        chunk: [0, 1, 2, 3]
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+
+      - name: Setup Python
+        uses: actions/setup-python@v6
+        with:
+          python-version: "3.14"
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r requirements.txt
+
+      - name: Download extracted data
+        uses: actions/download-artifact@v4
+        with:
+          name: adsb-extracted
+          path: data/output/
+
+      - name: Extract tar
+        run: |
+          cd data/output
+          tar -xf extracted_data.tar
+          rm extracted_data.tar
+          echo "=== Contents of data/output ==="
+          ls -lah
+          echo "=== Looking for manifest ==="
+          cat icao_manifest_*.txt | head -20 || echo "No manifest found"
+          echo "=== Looking for extracted dirs ==="
+          ls -d *-planes-readsb-prod-0* 2>/dev/null || echo "No extracted dirs"
+
+      - name: Process chunk ${{ matrix.chunk }}
+        run: |
+          python -m src.adsb.process_icao_chunk --chunk-id ${{ matrix.chunk }} --total-chunks 4 ${{ inputs.date && format('--date {0}', inputs.date) || '' }}
+          mkdir -p data/output/adsb_chunks
+          ls -lah data/output/adsb_chunks/ || echo "No chunks created"
+
+      - name: Upload chunk artifacts
+        uses: actions/upload-artifact@v4
+        with:
+          name: adsb-chunk-${{ matrix.chunk }}
+          path: data/output/adsb_chunks/
+          retention-days: 1
+
+  adsb-reduce:
+    runs-on: ubuntu-24.04-arm
+    needs: adsb-map
+    if: github.event_name != 'schedule'
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+
+      - name: Setup Python
+        uses: actions/setup-python@v6
+        with:
+          python-version: "3.14"
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r requirements.txt
+
+      - name: Download all chunk artifacts
+        uses: actions/download-artifact@v4
+        with:
+          pattern: adsb-chunk-*
+          path: data/output/adsb_chunks/
+          merge-multiple: true
+
+      - name: Debug downloaded files
+        run: |
+          echo "=== Listing data/ ==="
+          find data/ -type f 2>/dev/null | head -50 || echo "No files in data/"
+          echo "=== Looking for parquet files ==="
+          find . -name "*.parquet" 2>/dev/null | head -20 || echo "No parquet files found"
+
+      - name: Combine chunks to CSV
+        run: |
+          mkdir -p data/output/adsb_chunks
+          ls -lah data/output/adsb_chunks/ || echo "Directory empty or does not exist"
+          python -m src.adsb.combine_chunks_to_csv --chunks-dir data/output/adsb_chunks ${{ inputs.date && format('--date {0}', inputs.date) || '' }}
+          ls -lah data/openairframes/
+
+      - name: Upload ADS-B artifacts
+        uses: actions/upload-artifact@v4
+        with:
+          name: adsb-release
+          path: data/openairframes/openairframes_adsb_*.csv.gz
+          retention-days: 1
 
   build-community:
     runs-on: ubuntu-latest
@@ -233,14 +317,9 @@ jobs:
 
   create-release:
     runs-on: ubuntu-latest
-    needs: [resolve-dates, build-faa, adsb-to-aircraft, adsb-reduce, build-community, build-adsbexchange-json, build-mictronics-db]
+    needs: [build-faa, adsb-reduce, build-community, build-adsbexchange-json, build-mictronics-db]
-    if: github.event_name != 'schedule' && !cancelled()
+    if: github.event_name != 'schedule' && !failure() && !cancelled()
     steps:
-      - name: Check ADS-B workflow status
-        if: needs.adsb-to-aircraft.result != 'success' && needs.adsb-reduce.result != 'success'
-        run: |
-          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
         with:
@@ -249,33 +328,31 @@ jobs:
           sparse-checkout-cone-mode: false
 
       - name: Download FAA artifacts
-        uses: actions/download-artifact@v5
+        uses: actions/download-artifact@v4
         with:
           name: faa-release
           path: artifacts/faa
 
       - name: Download ADS-B artifacts
-        uses: actions/download-artifact@v5
+        uses: actions/download-artifact@v4
-        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 }}
+          name: adsb-release
           path: artifacts/adsb
 
       - name: Download Community artifacts
-        uses: actions/download-artifact@v5
+        uses: actions/download-artifact@v4
         with:
           name: community-release
           path: artifacts/community
 
       - name: Download ADS-B Exchange JSON artifact
-        uses: actions/download-artifact@v5
+        uses: actions/download-artifact@v4
         with:
           name: adsbexchange-json
           path: artifacts/adsbexchange
 
       - name: Download Mictronics DB artifact
-        uses: actions/download-artifact@v5
+        uses: actions/download-artifact@v4
         continue-on-error: true
         with:
           name: mictronics-db
@@ -311,11 +388,7 @@ jobs:
           
           # Find files from artifacts using find (handles nested structures)
           CSV_FILE_FAA=$(find artifacts/faa -name "openairframes_faa_*.csv" -type f 2>/dev/null | head -1)
-          # Prefer concatenated file (with date range) over single-day file
+          CSV_FILE_ADSB=$(find artifacts/adsb -name "openairframes_adsb_*.csv.gz" -type f 2>/dev/null | head -1)
-          CSV_FILE_ADSB=$(find artifacts/adsb -name "openairframes_adsb_*_*.csv.gz" -type f 2>/dev/null | head -1)
-          if [ -z "$CSV_FILE_ADSB" ]; then
-            CSV_FILE_ADSB=$(find artifacts/adsb -name "openairframes_adsb_*.csv.gz" -type f 2>/dev/null | head -1)
-          fi
           CSV_FILE_COMMUNITY=$(find artifacts/community -name "openairframes_community_*.csv" -type f 2>/dev/null | head -1)
           ZIP_FILE=$(find artifacts/faa -name "ReleasableAircraft_*.zip" -type f 2>/dev/null | head -1)
           JSON_FILE_ADSBX=$(find artifacts/adsbexchange -name "basic-ac-db_*.json.gz" -type f 2>/dev/null | head -1)
@@ -326,6 +399,9 @@ jobs:
           if [ -z "$CSV_FILE_FAA" ] || [ ! -f "$CSV_FILE_FAA" ]; then
             MISSING_FILES="$MISSING_FILES FAA_CSV"
           fi
+          if [ -z "$CSV_FILE_ADSB" ] || [ ! -f "$CSV_FILE_ADSB" ]; then
+            MISSING_FILES="$MISSING_FILES ADSB_CSV"
+          fi
           if [ -z "$ZIP_FILE" ] || [ ! -f "$ZIP_FILE" ]; then
             MISSING_FILES="$MISSING_FILES FAA_ZIP"
           fi
@@ -335,11 +411,6 @@ jobs:
           
           # Optional files - warn but don't fail
           OPTIONAL_MISSING=""
-          if [ -z "$CSV_FILE_ADSB" ] || [ ! -f "$CSV_FILE_ADSB" ]; then
-            OPTIONAL_MISSING="$OPTIONAL_MISSING ADSB_CSV"
-            CSV_FILE_ADSB=""
-            CSV_BASENAME_ADSB=""
-          fi
           if [ -z "$ZIP_FILE_MICTRONICS" ] || [ ! -f "$ZIP_FILE_MICTRONICS" ]; then
             OPTIONAL_MISSING="$OPTIONAL_MISSING MICTRONICS_ZIP"
             ZIP_FILE_MICTRONICS=""
@@ -357,9 +428,7 @@ jobs:
           
           # Get basenames for display
           CSV_BASENAME_FAA=$(basename "$CSV_FILE_FAA")
-          if [ -n "$CSV_FILE_ADSB" ]; then
+          CSV_BASENAME_ADSB=$(basename "$CSV_FILE_ADSB")
-            CSV_BASENAME_ADSB=$(basename "$CSV_FILE_ADSB")
-          fi
           CSV_BASENAME_COMMUNITY=$(basename "$CSV_FILE_COMMUNITY" 2>/dev/null || echo "")
           ZIP_BASENAME=$(basename "$ZIP_FILE")
           JSON_BASENAME_ADSBX=$(basename "$JSON_FILE_ADSBX")
@@ -414,7 +483,7 @@ jobs:
 
             Assets:
             - ${{ steps.meta.outputs.csv_basename_faa }}
-            ${{ steps.meta.outputs.csv_basename_adsb && format('- {0}', steps.meta.outputs.csv_basename_adsb) || '' }}
+            - ${{ steps.meta.outputs.csv_basename_adsb }}
             - ${{ steps.meta.outputs.csv_basename_community }}
             - ${{ steps.meta.outputs.zip_basename }}
             - ${{ steps.meta.outputs.json_basename_adsbx }}

README.md

@@ -16,19 +16,11 @@ A daily release is created at **06:00 UTC** and includes:
 - **openairframes_community.csv**  
   All community submissions
 
-- **openairframes_adsb.csv**  
-  Airframes dataset derived from ADSB.lol network data. For each UTC day, a row is created for every icao observed in that day’s ADS-B messages, using registration data from [tar1090-db](https://github.com/wiedehopf/tar1090-db) (ADSBExchange & Mictronics).
-Example Usage:
-```python
-import pandas as pd
-url = "https://github.com/PlaneQuery/OpenAirframes/releases/download/openairframes-2026-03-18-main/openairframes_adsb_2024-01-01_2026-03-17.csv.gz" # 1GB
-df = pd.read_csv(url)
-df
-```
-![](docs/images/df_adsb_example_0.png)
 - **openairframes_faa.csv**  
   All [FAA registration data](https://www.faa.gov/licenses_certificates/aircraft_certification/aircraft_registry/releasable_aircraft_download) from 2023-08-16 to present (~260 MB)
 
+- **openairframes_adsb.csv**  
+  Airframe information derived from ADS-B messages on the [ADSB.lol](https://www.adsb.lol/) network, from 2026-02-12 to present (will be from 2024-01-01 soon). The airframe information originates from [mictronics aircraft database](https://www.mictronics.de/aircraft-database/) (~5 MB).
 
 - **ReleasableAircraft_{date}.zip**  
   A daily snapshot of the FAA database, which updates at **05:30 UTC**

community/2026-02-18/ggman12_2026-02-18_5ddbb8bd.json

@@ -1,40 +0,0 @@
-[
-  {
-    "contributor_name": "JohnSmith.com",
-    "contributor_uuid": "2981c3ee-8712-5f96-84bf-732eda515a3f",
-    "creation_timestamp": "2026-02-18T22:18:11.349009+00:00",
-    "registration_number": "ZM146",
-    "tags": {
-      "citation_0": "https://assets.publishing.service.gov.uk/media/5c07a65f40f0b6705f11cf37/10389.pdf",
-      "icao_aircraft_type": "L1J",
-      "manufacturer_icao": "LOCKHEED MARTIN",
-      "manufacturer_name": "Lockheed-martin",
-      "model": "F-35B Lightning II",
-      "operator": "Royal Air Force",
-      "operator_callsign": "RAFAIR",
-      "operator_icao": "RFR",
-      "serial_number": "BK-12",
-      "type_code": "VF35"
-    },
-    "transponder_code_hex": "43C81C"
-  },
-  {
-    "contributor_name": "JohnSmith.com",
-    "contributor_uuid": "2981c3ee-8712-5f96-84bf-732eda515a3f",
-    "creation_timestamp": "2026-02-18T22:18:11.349009+00:00",
-    "registration_number": "ZM148",
-    "tags": {
-      "citation_0": "https://assets.publishing.service.gov.uk/media/5c07a65f40f0b6705f11cf37/10389.pdf",
-      "icao_aircraft_type": "L1J",
-      "manufacturer_icao": "LOCKHEED MARTIN",
-      "manufacturer_name": "Lockheed-martin",
-      "model": "F-35B Lightning II",
-      "operator": "Royal Air Force",
-      "operator_callsign": "RAFAIR",
-      "operator_icao": "RFR",
-      "serial_number": "BK-14",
-      "type_code": "VF35"
-    },
-    "transponder_code_hex": "43C811"
-  }
-]

schemas/community_submission.v1.schema.json

@@ -54,38 +54,7 @@
       "additionalProperties": {
         "$ref": "#/$defs/tagValue"
       },
-      "properties": {
+      "properties": {}
-        "citation_0": {
-          "type": "string"
-        },
-        "icao_aircraft_type": {
-          "type": "string"
-        },
-        "manufacturer_icao": {
-          "type": "string"
-        },
-        "manufacturer_name": {
-          "type": "string"
-        },
-        "model": {
-          "type": "string"
-        },
-        "operator": {
-          "type": "string"
-        },
-        "operator_callsign": {
-          "type": "string"
-        },
-        "operator_icao": {
-          "type": "string"
-        },
-        "serial_number": {
-          "type": "string"
-        },
-        "type_code": {
-          "type": "string"
-        }
-      }
     }
   },
   "allOf": [

scripts/concat_downloads.py

@@ -1,49 +0,0 @@
-#!/usr/bin/env python3
-import re
-from pathlib import Path
-import polars as pl
-
-# Find all CSV.gz files in the downloaded artifacts
-artifacts_dir = Path("downloads/adsb_artifacts")
-files = sorted(artifacts_dir.glob("*/openairframes_adsb_*.csv.gz"))
-
-if not files:
-    raise SystemExit("No CSV.gz files found in downloads/adsb_artifacts/")
-
-print(f"Found {len(files)} files to concatenate")
-
-# Extract dates from filenames to determine range
-def extract_dates(path: Path) -> tuple[str, str]:
-    """Extract start and end dates from filename"""
-    m = re.search(r"openairframes_adsb_(\d{4}-\d{2}-\d{2})_(\d{4}-\d{2}-\d{2})\.csv\.gz", path.name)
-    if m:
-        return m.group(1), m.group(2)
-    return None, None
-
-# Collect all dates
-all_dates = []
-for f in files:
-    start, end = extract_dates(f)
-    if start and end:
-        all_dates.extend([start, end])
-        print(f"  {f.name}: {start} to {end}")
-
-if not all_dates:
-    raise SystemExit("Could not extract dates from filenames")
-
-# Find earliest and latest dates
-earliest = min(all_dates)
-latest = max(all_dates)
-print(f"\nDate range: {earliest} to {latest}")
-
-# Read and concatenate all files
-print("\nReading and concatenating files...")
-frames = [pl.read_csv(f) for f in files]
-df = pl.concat(frames, how="vertical", rechunk=True)
-
-# Write output
-output_path = Path("downloads") / f"openairframes_adsb_{earliest}_{latest}.csv.gz"
-output_path.parent.mkdir(parents=True, exist_ok=True)
-df.write_csv(output_path, compression="gzip")
-
-print(f"\nWrote {output_path} with {df.height:,} rows")

scripts/download.sh

@@ -1,40 +0,0 @@
-#!/bin/bash
-
-# Create download directory
-mkdir -p downloads/adsb_artifacts
-
-# Repository from the workflow comment
-REPO="ggman12/OpenAirframes"
-
-# Get last 15 runs of the workflow and download matching artifacts
-gh run list \
-  --repo "$REPO" \
-  --workflow adsb-to-aircraft-multiple-day-run.yaml \
-  --limit 15 \
-  --json databaseId \
-  --jq '.[].databaseId' | while read -r run_id; do
-  
-  echo "Checking run ID: $run_id"
-  
-  # List artifacts for this run using the API
-  # Match pattern: openairframes_adsb-YYYY-MM-DD-YYYY-MM-DD (with second date)
-  gh api \
-    --paginate \
-    "repos/$REPO/actions/runs/$run_id/artifacts" \
-    --jq '.artifacts[] | select(.name | test("^openairframes_adsb-[0-9]{4}-[0-9]{2}-[0-9]{2}-[0-9]{4}-[0-9]{2}-[0-9]{2}$")) | .name' | while read -r artifact_name; do
-    
-    # Check if artifact directory already exists and has files
-    if [ -d "downloads/adsb_artifacts/$artifact_name" ] && [ -n "$(ls -A "downloads/adsb_artifacts/$artifact_name" 2>/dev/null)" ]; then
-      echo "  Skipping (already exists): $artifact_name"
-      continue
-    fi
-    
-    echo "  Downloading: $artifact_name"
-    gh run download "$run_id" \
-      --repo "$REPO" \
-      --name "$artifact_name" \
-      --dir "downloads/adsb_artifacts/$artifact_name"
-  done
-done
-
-echo "Download complete! Files saved to downloads/adsb_artifacts/"

scripts/run_historical_adsb_action.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 """
-Script to trigger adsb-to-aircraft-multiple-day-run workflow runs in monthly chunks.
+Script to trigger historical-adsb workflow runs in 15-day chunks.
 
 Usage:
     python scripts/run_historical_adsb_action.py --start-date 2025-01-01 --end-date 2025-06-01
@@ -10,14 +10,10 @@ import argparse
 import subprocess
 import sys
 from datetime import datetime, timedelta
-from calendar import monthrange
 
 
-def generate_monthly_chunks(start_date_str, end_date_str):
+def generate_date_chunks(start_date_str, end_date_str, chunk_days=15):
-    """Generate date ranges in monthly chunks from start to end date.
+    """Generate date ranges in fixed-day chunks from start to end date."""
-    
-    End dates are exclusive (e.g., to process Jan 1-31, end_date should be Feb 1).
-    """
     start_date = datetime.strptime(start_date_str, '%Y-%m-%d')
     end_date = datetime.strptime(end_date_str, '%Y-%m-%d')
     
@@ -25,35 +21,31 @@ def generate_monthly_chunks(start_date_str, end_date_str):
     current = start_date
     
     while current < end_date:
-        # Get the first day of the next month (exclusive end)
+        # Calculate end of current chunk
-        _, days_in_month = monthrange(current.year, current.month)
+        chunk_end = current + timedelta(days=chunk_days)
-        month_end = current.replace(day=days_in_month)
-        next_month_start = month_end + timedelta(days=1)
         
         # Don't go past the global end date
-        chunk_end = min(next_month_start, end_date)
+        if chunk_end > end_date:
+            chunk_end = end_date
         
         chunks.append({
             'start': current.strftime('%Y-%m-%d'),
             'end': chunk_end.strftime('%Y-%m-%d')
         })
         
-        # Move to first day of next month
+        current = chunk_end
-        if next_month_start >= end_date:
-            break
-        current = next_month_start
     
     return chunks
 
 
-def trigger_workflow(start_date, end_date, repo='ggman12/OpenAirframes', branch='main', dry_run=False):
+def trigger_workflow(start_date, end_date, chunk_days=1, branch='main', dry_run=False):
-    """Trigger the adsb-to-aircraft-multiple-day-run workflow via GitHub CLI."""
+    """Trigger the historical-adsb workflow via GitHub CLI."""
     cmd = [
-        'gh', 'workflow', 'run', 'adsb-to-aircraft-multiple-day-run.yaml',
+        'gh', 'workflow', 'run', 'historical-adsb.yaml',
-        '--repo', repo,
         '--ref', branch,
         '-f', f'start_date={start_date}',
-        '-f', f'end_date={end_date}'
+        '-f', f'end_date={end_date}',
+        '-f', f'chunk_days={chunk_days}'
     ]
     
     if dry_run:
@@ -74,8 +66,7 @@ def trigger_workflow(start_date, end_date, repo='ggman12/OpenAirframes', branch=
         # Get the most recent run (should be the one we just triggered)
         list_cmd = [
             'gh', 'run', 'list',
-            '--repo', repo,
+            '--workflow', 'historical-adsb.yaml',
-            '--workflow', 'adsb-to-aircraft-multiple-day-run.yaml',
             '--branch', branch,
             '--limit', '1',
             '--json', 'databaseId',
@@ -93,25 +84,29 @@ def trigger_workflow(start_date, end_date, repo='ggman12/OpenAirframes', branch=
 
 def main():
     parser = argparse.ArgumentParser(
-        description='Trigger adsb-to-aircraft-multiple-day-run workflow runs in monthly chunks'
+        description='Trigger historical-adsb workflow runs in monthly chunks'
     )
     parser.add_argument(
-        '--start-date', '--start_date',
+        '--start-date',
-        dest='start_date',
         required=True,
         help='Start date in YYYY-MM-DD format (inclusive)'
     )
     parser.add_argument(
-        '--end-date', '--end_date',
+        '--end-date',
-        dest='end_date',
         required=True,
         help='End date in YYYY-MM-DD format (exclusive)'
     )
     parser.add_argument(
-        '--repo',
+        '--chunk-days',
-        type=str,
+        type=int,
-        default='ggman12/OpenAirframes',
+        default=1,
-        help='GitHub repository (default: ggman12/OpenAirframes)'
+        help='Days per job chunk within each workflow run (default: 1)'
+    )
+    parser.add_argument(
+        '--workflow-chunk-days',
+        type=int,
+        default=15,
+        help='Days per workflow run (default: 15)'
     )
     parser.add_argument(
         '--branch',
@@ -137,17 +132,17 @@ def main():
     try:
         start = datetime.strptime(args.start_date, '%Y-%m-%d')
         end = datetime.strptime(args.end_date, '%Y-%m-%d')
-        if start > end:
+        if start >= end:
-            print("Error: start_date must be before or equal to end_date")
+            print("Error: start_date must be before end_date")
             sys.exit(1)
     except ValueError as e:
         print(f"Error: Invalid date format - {e}")
         sys.exit(1)
     
-    # Generate monthly chunks
+    # Generate date chunks
-    chunks = generate_monthly_chunks(args.start_date, args.end_date)
+    chunks = generate_date_chunks(args.start_date, args.end_date, chunk_days=args.workflow_chunk_days)
     
-    print(f"\nGenerating {len(chunks)} monthly workflow runs on branch '{args.branch}' (repo: {args.repo}):")
+    print(f"\nGenerating {len(chunks)} workflow runs ({args.workflow_chunk_days} days each) on branch '{args.branch}':")
     for i, chunk in enumerate(chunks, 1):
         print(f"  {i}. {chunk['start']} to {chunk['end']}")
     
@@ -170,7 +165,7 @@ def main():
         success, run_id = trigger_workflow(
             chunk['start'],
             chunk['end'],
-            repo=args.repo,
+            chunk_days=args.chunk_days,
             branch=args.branch,
             dry_run=args.dry_run
         )
@@ -194,12 +189,11 @@ def main():
     if triggered_runs and not args.dry_run:
         import json
         timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
-        runs_file = f"./output/triggered_runs_{timestamp}.json"
+        runs_file = f"./triggered_runs_{timestamp}.json"
         with open(runs_file, 'w') as f:
             json.dump({
                 'start_date': args.start_date,
                 'end_date': args.end_date,
-                'repo': args.repo,
                 'branch': args.branch,
                 'runs': triggered_runs
             }, f, indent=2)

scripts/run_main_isolated.py

@@ -1,82 +0,0 @@
-#!/usr/bin/env python3
-"""
-Run src.adsb.main in an isolated git worktree so edits in the main
-working tree won't affect subprocess imports during the run.
-
-Usage:
-    python scripts/run_main_isolated.py 2026-01-01
-    python scripts/run_main_isolated.py --start_date 2026-01-01 --end_date 2026-01-03
-"""
-import argparse
-import os
-import shutil
-import subprocess
-import sys
-from datetime import datetime, timezone
-from pathlib import Path
-
-
-def run(
-    cmd: list[str],
-    *,
-    cwd: Path | None = None,
-    check: bool = True,
-) -> subprocess.CompletedProcess:
-    print(f"\n>>> {' '.join(cmd)}")
-    return subprocess.run(cmd, cwd=cwd, check=check)
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description="Run src.adsb.main in an isolated worktree")
-    parser.add_argument("date", nargs="?", help="Single date to process (YYYY-MM-DD)")
-    parser.add_argument("--start_date", help="Start date (inclusive, YYYY-MM-DD)")
-    parser.add_argument("--end_date", help="End date (exclusive, YYYY-MM-DD)")
-    parser.add_argument("--concat_with_latest_csv", action="store_true", help="Also concatenate with latest CSV from GitHub releases")
-    args = parser.parse_args()
-
-    if args.date and (args.start_date or args.end_date):
-        raise SystemExit("Use a single date or --start_date/--end_date, not both.")
-
-    if args.date:
-        datetime.strptime(args.date, "%Y-%m-%d")
-        main_args = ["--date", args.date]
-    else:
-        if not args.start_date or not args.end_date:
-            raise SystemExit("Provide --start_date and --end_date, or a single date.")
-        datetime.strptime(args.start_date, "%Y-%m-%d")
-        datetime.strptime(args.end_date, "%Y-%m-%d")
-        main_args = ["--start_date", args.start_date, "--end_date", args.end_date]
-
-    if args.concat_with_latest_csv:
-        main_args.append("--concat_with_latest_csv")
-
-    repo_root = Path(__file__).resolve().parents[1]
-    snapshots_root = repo_root / ".snapshots"
-    snapshots_root.mkdir(exist_ok=True)
-
-    timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S")
-    snapshot_root = snapshots_root / f"run_{timestamp}"
-    snapshot_src = snapshot_root / "src"
-
-    exit_code = 0
-    try:
-        shutil.copytree(repo_root / "src", snapshot_src)
-
-        runner = (
-            "import sys, runpy; "
-            f"sys.path.insert(0, {repr(str(snapshot_root))}); "
-            f"sys.argv = ['src.adsb.main'] + {main_args!r}; "
-            "runpy.run_module('src.adsb.main', run_name='__main__')"
-        )
-        cmd = [sys.executable, "-c", runner]
-        run(cmd, cwd=repo_root)
-    except subprocess.CalledProcessError as exc:
-        exit_code = exc.returncode
-    finally:
-        shutil.rmtree(snapshot_root, ignore_errors=True)
-
-    return exit_code
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())

scripts/scrape_theairtraffic.py

@@ -1,242 +0,0 @@
-#!/usr/bin/env python3
-"""
-Parse TheAirTraffic Database CSV and produce community_submission.v1 JSON.
-
-Source: "TheAirTraffic Database - Aircraft 2.csv"
-Output: community/YYYY-MM-DD/theairtraffic_<date>_<hash>.json
-
-Categories in the spreadsheet columns (paired: name, registrations, separator):
-  Col  1-3:  Business
-  Col  4-6:  Government
-  Col  7-9:  People
-  Col 10-12: Sports
-  Col 13-15: Celebrity
-  Col 16-18: State Govt./Law
-  Col 19-21: Other
-  Col 22-24: Test Aircraft
-  Col 25-27: YouTubers
-  Col 28-30: Formula 1 VIP's
-  Col 31-33: Active GII's and GIII's  (test/demo aircraft)
-  Col 34-37: Russia & Ukraine          (extra col for old/new)
-  Col 38-40: Helicopters & Blimps
-  Col 41-43: Unique Reg's
-  Col 44-46: Saudi & UAE
-  Col 47-49: Schools
-  Col 50-52: Special Charter
-  Col 53-55: Unknown Owners
-  Col 56-59: Frequent Flyers           (extra cols: name, aircraft, logged, hours)
-"""
-
-import csv
-import json
-import hashlib
-import re
-import sys
-import uuid
-from datetime import datetime, timezone
-from pathlib import Path
-
-# ── Category mapping ────────────────────────────────────────────────────────
-# Each entry: (name_col, reg_col, owner_category_tags)
-# owner_category_tags is a dict of tag keys to add beyond "owner"
-CATEGORY_COLUMNS = [
-    # (name_col, reg_col, {tag_key: tag_value, ...})
-    (1,  2,  {"owner_category_0": "business"}),
-    (4,  5,  {"owner_category_0": "government"}),
-    (7,  8,  {"owner_category_0": "celebrity"}),
-    (10, 11, {"owner_category_0": "sports"}),
-    (13, 14, {"owner_category_0": "celebrity"}),
-    (16, 17, {"owner_category_0": "government", "owner_category_1": "law_enforcement"}),
-    (19, 20, {"owner_category_0": "other"}),
-    (22, 23, {"owner_category_0": "test_aircraft"}),
-    (25, 26, {"owner_category_0": "youtuber", "owner_category_1": "celebrity"}),
-    (28, 29, {"owner_category_0": "celebrity", "owner_category_1": "motorsport"}),
-    (31, 32, {"owner_category_0": "test_aircraft"}),
-    # Russia & Ukraine: col 34=name, col 35 or 36 may have reg
-    (34, 35, {"owner_category_0": "russia_ukraine"}),
-    (38, 39, {"owner_category_0": "celebrity", "category": "helicopter_or_blimp"}),
-    (41, 42, {"owner_category_0": "other"}),
-    (44, 45, {"owner_category_0": "government", "owner_category_1": "royal_family"}),
-    (47, 48, {"owner_category_0": "education"}),
-    (50, 51, {"owner_category_0": "charter"}),
-    (53, 54, {"owner_category_0": "unknown"}),
-    (56, 57, {"owner_category_0": "celebrity"}),   # Frequent Flyers name col, aircraft col
-]
-
-# First data row index (0-based) in the CSV
-DATA_START_ROW = 4
-
-# ── Contributor info ────────────────────────────────────────────────────────
-CONTRIBUTOR_NAME = "TheAirTraffic"
-# Deterministic UUID v5 from contributor name
-CONTRIBUTOR_UUID = str(uuid.uuid5(uuid.NAMESPACE_URL, "https://theairtraffic.com"))
-
-# Citation
-CITATION = "https://docs.google.com/spreadsheets/d/1JHhfJBnJPNBA6TgiSHjkXFkHBdVTTz_nXxaUDRWcHpk"
-
-
-def looks_like_military_serial(reg: str) -> bool:
-    """
-    Detect military-style serials like 92-9000, 82-8000, 98-0001
-    or pure numeric IDs like 929000, 828000, 980001.
-    These aren't standard civil registrations; use openairframes_id.
-    """
-    # Pattern: NN-NNNN
-    if re.match(r'^\d{2}-\d{4}$', reg):
-        return True
-    # Pure 6-digit numbers (likely ICAO hex or military mode-S)
-    if re.match(r'^\d{6}$', reg):
-        return True
-    # Short numeric-only (1-5 digits) like "01", "02", "676"
-    if re.match(r'^\d{1,5}$', reg):
-        return True
-    return False
-
-
-def normalize_reg(raw: str) -> str:
-    """Clean up a registration string."""
-    reg = raw.strip().rstrip(',').strip()
-    # Remove carriage returns and other whitespace
-    reg = reg.replace('\r', '').replace('\n', '').strip()
-    return reg
-
-
-def parse_regs(cell_value: str) -> list[str]:
-    """
-    Parse a cell that may contain one or many registrations,
-    separated by commas, possibly wrapped in quotes.
-    """
-    if not cell_value or not cell_value.strip():
-        return []
-
-    # Some cells have ADS-B exchange URLs – skip those
-    if 'globe.adsbexchange.com' in cell_value:
-        return []
-    if cell_value.strip() in ('.', ',', ''):
-        return []
-
-    results = []
-    # Split on comma
-    parts = cell_value.split(',')
-    for part in parts:
-        reg = normalize_reg(part)
-        if not reg:
-            continue
-        # Skip URLs, section labels, etc.
-        if reg.startswith('http') or reg.startswith('Link') or reg == 'Section 1':
-            continue
-        # Skip if it's just whitespace or dots
-        if reg in ('.', '..', '...'):
-            continue
-        results.append(reg)
-    return results
-
-
-def make_submission(
-    reg: str,
-    owner: str,
-    category_tags: dict[str, str],
-) -> dict:
-    """Build a single community_submission.v1 object."""
-
-    entry: dict = {}
-
-    # Decide identifier field
-    if looks_like_military_serial(reg):
-        entry["openairframes_id"] = reg
-    else:
-        entry["registration_number"] = reg
-
-    # Tags
-    tags: dict = {
-        "citation_0": CITATION,
-    }
-    if owner:
-        tags["owner"] = owner.strip()
-    tags.update(category_tags)
-    entry["tags"] = tags
-
-    return entry
-
-
-def main():
-    csv_path = Path(sys.argv[1]) if len(sys.argv) > 1 else Path(
-        "/Users/jonahgoode/Downloads/TheAirTraffic Database - Aircraft 2.csv"
-    )
-
-    if not csv_path.exists():
-        print(f"ERROR: CSV not found at {csv_path}", file=sys.stderr)
-        sys.exit(1)
-
-    # Read CSV
-    with open(csv_path, 'r', encoding='utf-8-sig') as f:
-        reader = csv.reader(f)
-        rows = list(reader)
-
-    print(f"Read {len(rows)} rows from {csv_path.name}")
-
-    date_str = datetime.now(timezone.utc).strftime("%Y-%m-%d")
-
-    submissions: list[dict] = []
-    seen: set[tuple] = set()  # (reg, owner) dedup
-
-    for row_idx in range(DATA_START_ROW, len(rows)):
-        row = rows[row_idx]
-        if len(row) < 3:
-            continue
-
-        for name_col, reg_col, cat_tags in CATEGORY_COLUMNS:
-            if reg_col >= len(row) or name_col >= len(row):
-                continue
-
-            owner_raw = row[name_col].strip().rstrip(',').strip()
-            reg_raw = row[reg_col]
-
-            # Clean owner name
-            owner = owner_raw.replace('\r', '').replace('\n', '').strip()
-            if not owner or owner in ('.', ',', 'Section 1'):
-                continue
-            # Skip header-like values
-            if owner.startswith('http') or owner.startswith('Link '):
-                continue
-
-            regs = parse_regs(reg_raw)
-            if not regs:
-                # For Russia & Ukraine, try the next column too (col 35 might have old reg, col 36 new)
-                if name_col == 34 and reg_col + 1 < len(row):
-                    regs = parse_regs(row[reg_col + 1])
-
-            for reg in regs:
-                key = (reg, owner)
-                if key in seen:
-                    continue
-                seen.add(key)
-                submissions.append(make_submission(reg, owner, cat_tags))
-
-    print(f"Generated {len(submissions)} submissions")
-
-    # Write output
-    proj_root = Path(__file__).resolve().parent.parent
-    out_dir = proj_root / "community" / date_str
-    out_dir.mkdir(parents=True, exist_ok=True)
-
-    out_file = out_dir / f"theairtraffic_{date_str}.json"
-
-    with open(out_file, 'w', encoding='utf-8') as f:
-        json.dump(submissions, f, indent=2, ensure_ascii=False)
-
-    print(f"Written to {out_file}")
-    print(f"Sample entry:\n{json.dumps(submissions[0], indent=2)}")
-
-    # Quick stats
-    cats = {}
-    for s in submissions:
-        c = s['tags'].get('owner_category_0', 'NONE')
-        cats[c] = cats.get(c, 0) + 1
-    print("\nCategory breakdown:")
-    for c, n in sorted(cats.items(), key=lambda x: -x[1]):
-        print(f"  {c}: {n}")
-
-
-if __name__ == "__main__":
-    main()

scripts/validate_theairtraffic.py

@@ -1,69 +0,0 @@
-#!/usr/bin/env python3
-"""Validate the generated theairtraffic JSON output."""
-import json
-import glob
-import sys
-
-# Find the latest output
-files = sorted(glob.glob("community/2026-02-*/theairtraffic_*.json"))
-if not files:
-    print("No output files found!")
-    sys.exit(1)
-
-path = files[-1]
-print(f"Validating: {path}")
-
-with open(path) as f:
-    data = json.load(f)
-
-print(f"Total entries: {len(data)}")
-
-# Check military serial handling
-mil = [d for d in data if "openairframes_id" in d]
-print(f"\nEntries using openairframes_id: {len(mil)}")
-for m in mil[:10]:
-    print(f"  {m['openairframes_id']} -> owner: {m['tags'].get('owner','?')}")
-
-# Check youtuber entries
-yt = [d for d in data if d["tags"].get("owner_category_0") == "youtuber"]
-print(f"\nYouTuber entries: {len(yt)}")
-for y in yt[:5]:
-    reg = y.get("registration_number", y.get("openairframes_id"))
-    c0 = y["tags"].get("owner_category_0")
-    c1 = y["tags"].get("owner_category_1")
-    print(f"  {reg} -> owner: {y['tags']['owner']}, cat0: {c0}, cat1: {c1}")
-
-# Check US Govt / military
-gov = [d for d in data if d["tags"].get("owner") == "United States of America 747/757"]
-print(f"\nUSA 747/757 entries: {len(gov)}")
-for g in gov:
-    oid = g.get("openairframes_id", g.get("registration_number"))
-    print(f"  {oid}")
-
-# Schema validation
-issues = 0
-for i, d in enumerate(data):
-    has_id = any(k in d for k in ["registration_number", "transponder_code_hex", "openairframes_id"])
-    if not has_id:
-        print(f"  Entry {i}: no identifier!")
-        issues += 1
-    if "tags" not in d:
-        print(f"  Entry {i}: no tags!")
-        issues += 1
-    # Check tag key format
-    for k in d.get("tags", {}):
-        import re
-        if not re.match(r"^[a-z][a-z0-9_]{0,63}$", k):
-            print(f"  Entry {i}: invalid tag key '{k}'")
-            issues += 1
-
-print(f"\nSchema issues: {issues}")
-
-# Category breakdown
-cats = {}
-for s in data:
-    c = s["tags"].get("owner_category_0", "NONE")
-    cats[c] = cats.get(c, 0) + 1
-print("\nCategory breakdown:")
-for c, n in sorted(cats.items(), key=lambda x: -x[1]):
-    print(f"  {c}: {n}")

src/adsb/compress_adsb_to_aircraft_data.py

@@ -170,7 +170,7 @@ def load_parquet_part(part_id: int, date: str) -> pl.DataFrame:
     # Convert to timezone-naive datetime
     if df["time"].dtype == pl.Datetime:
         df = df.with_columns(pl.col("time").dt.replace_time_zone(None))
-    os.remove(parquet_file)
+    
     return df
 
 
@@ -194,4 +194,53 @@ def concat_compressed_dfs(df_base, df_new):
     """Concatenate base and new compressed dataframes, keeping the most informative row per ICAO."""
     # Combine both dataframes
     df_combined = pl.concat([df_base, df_new])
-    return df_combined
+    
+    # Sort by ICAO and time
+    df_combined = df_combined.sort(['icao', 'time'])
+    
+    # Fill null values
+    for col in COLUMNS:
+        if col in df_combined.columns:
+            df_combined = df_combined.with_columns(pl.col(col).fill_null(""))
+    
+    # Apply compression logic per ICAO to get the best row
+    icao_groups = df_combined.partition_by('icao', as_dict=True, maintain_order=True)
+    compressed_dfs = []
+    
+    for icao_key, group_df in icao_groups.items():
+        icao = icao_key[0]
+        compressed = compress_df_polars(group_df, str(icao))
+        compressed_dfs.append(compressed)
+    
+    if compressed_dfs:
+        df_compressed = pl.concat(compressed_dfs)
+    else:
+        df_compressed = df_combined.head(0)
+    
+    # Sort by time
+    df_compressed = df_compressed.sort('time')
+    
+    return df_compressed
+
+
+def get_latest_aircraft_adsb_csv_df():
+    """Download and load the latest ADS-B CSV from GitHub releases."""
+    from get_latest_release import download_latest_aircraft_adsb_csv
+    import re
+    
+    csv_path = download_latest_aircraft_adsb_csv()
+    df = pl.read_csv(csv_path, null_values=[""])
+    
+    # Fill nulls with empty strings
+    for col in df.columns:
+        if df[col].dtype == pl.Utf8:
+            df = df.with_columns(pl.col(col).fill_null(""))
+    
+    # Extract start date from filename pattern: openairframes_adsb_{start_date}_{end_date}.csv[.gz]
+    match = re.search(r"openairframes_adsb_(\d{4}-\d{2}-\d{2})_", str(csv_path))
+    if not match:
+        raise ValueError(f"Could not extract date from filename: {csv_path.name}")
+    
+    date_str = match.group(1)
+    return df, date_str
+

src/adsb/concat_parquet_to_final.py

@@ -1,67 +1,34 @@
 from pathlib import Path
 import polars as pl
 import argparse
-import os
+
-OUTPUT_DIR = Path("./data/output")
+OUTPUT_DIR = Path("./outputs")
-CORRECT_ORDER_OF_COLUMNS = ["time", "icao", "r", "t", "dbFlags", "ownOp", "year", "desc", "aircraft_category"]
 
 def main():
     parser = argparse.ArgumentParser(description="Concatenate compressed parquet files for a single day")
     parser.add_argument("--date", type=str, required=True, help="Date in YYYY-MM-DD format")
-    parser.add_argument("--concat_with_latest_csv", action="store_true", help="Whether to also concatenate with the latest CSV from GitHub releases")
     args = parser.parse_args()
 
     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"))
-    df = None
+    if not parquet_files:
-    if parquet_files: # TODO: This logic could be updated slightly.
+        raise FileNotFoundError(f"No parquet files found in {date_dir}")
-        print(f"No parquet files found in {date_dir}")
 
-        frames = [pl.read_parquet(p) for p in parquet_files]
+    frames = [pl.read_parquet(p) for p in parquet_files]
-        df = pl.concat(frames, how="vertical", rechunk=True)
+    df = pl.concat(frames, how="vertical", rechunk=True)
 
-        df = df.sort(["time", "icao"])
+    df = df.sort(["time", "icao"])
-        df = df.select(CORRECT_ORDER_OF_COLUMNS)
+    output_path = OUTPUT_DIR / f"openairframes_adsb_{args.date}_{args.date}.parquet"
-        
+    print(f"Writing combined parquet to {output_path} with {df.height} rows")
-        output_path = OUTPUT_DIR / f"openairframes_adsb_{args.date}.parquet"
+    df.write_parquet(output_path)
-        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"
+    csv_output_path = OUTPUT_DIR / f"openairframes_adsb_{args.date}_{args.date}.csv"
-        print(f"Writing combined csv.gz to {csv_output_path} with {df.height} rows")
+    print(f"Writing combined csv to {csv_output_path} with {df.height} rows")
-        df.write_csv(csv_output_path, compression="gzip")
+    df.write_csv(csv_output_path)
-
-    if args.concat_with_latest_csv:
-        print("Loading latest CSV from GitHub releases to concatenate with...")
-        from src.get_latest_release import get_latest_aircraft_adsb_csv_df
-        from datetime import datetime
-        
-        df_latest_csv, csv_start_date, csv_end_date = get_latest_aircraft_adsb_csv_df()
-        
-        # Compare dates: end_date is exclusive, so if csv_end_date > args.date, 
-        # the latest CSV already includes this day's data
-        csv_end_dt = datetime.strptime(csv_end_date, "%Y-%m-%d")
-        args_dt = datetime.strptime(args.date, "%Y-%m-%d")
-        
-        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")
-        else:
-            print(f"Concatenating latest CSV (through {csv_end_date}) with new data ({args.date})")
-            # Ensure column order matches before concatenating
-            df_latest_csv = df_latest_csv.select(CORRECT_ORDER_OF_COLUMNS)
-            from src.adsb.compress_adsb_to_aircraft_data import concat_compressed_dfs
-            df_final = concat_compressed_dfs(df_latest_csv, df)
-            df_final = df_final.select(CORRECT_ORDER_OF_COLUMNS)
-            final_csv_output_path = OUTPUT_DIR / f"openairframes_adsb_{csv_start_date}_{args.date}.csv.gz"
-            df_final.write_csv(final_csv_output_path, compression="gzip")
-        print(f"Final CSV written to {final_csv_output_path}")
 
 if __name__ == "__main__":
     main()

src/adsb/download_adsb_data_to_parquet.py

@@ -16,7 +16,7 @@ import sys
 import urllib.error
 import urllib.request
 from datetime import datetime
-import time
+
 import orjson
 import pyarrow as pa
 import pyarrow.parquet as pq
@@ -88,7 +88,7 @@ def _fetch_releases_from_repo(year: str, version_date: str) -> list:
                     else:
                         print(f"Failed to fetch releases (attempt {attempt}/{max_retries}): {response.status} {response.reason}")
                         if attempt < max_retries:
-                            print(f"Waiting {retry_delay} seconds before retry")
+                            print(f"Waiting {retry_delay} seconds before retry...")
                             time.sleep(retry_delay)
                         else:
                             print(f"Giving up after {max_retries} attempts")
@@ -96,7 +96,7 @@ def _fetch_releases_from_repo(year: str, version_date: str) -> list:
             except Exception as e:
                 print(f"Request exception (attempt {attempt}/{max_retries}): {e}")
                 if attempt < max_retries:
-                    print(f"Waiting {retry_delay} seconds before retry")
+                    print(f"Waiting {retry_delay} seconds before retry...")
                     time.sleep(retry_delay)
                 else:
                     print(f"Giving up after {max_retries} attempts")
@@ -123,105 +123,47 @@ def fetch_releases(version_date: str) -> list:
     # For last day of year, also check next year's repo if nothing found
     if not releases and version_date.endswith(".12.31"):
         next_year = str(int(year) + 1)
-        print(f"No releases found for {version_date} in {year} repo, checking {next_year} repo")
+        print(f"No releases found for {version_date} in {year} repo, checking {next_year} repo...")
         releases = _fetch_releases_from_repo(next_year, version_date)
     
     return releases
 
 
-def download_asset(asset_url: str, file_path: str, expected_size: int | None = None) -> bool:
+def download_asset(asset_url: str, file_path: str) -> bool:
-    """Download a single release asset with size verification.
+    """Download a single release asset."""
-    
-    Args:
-        asset_url: URL to download from
-        file_path: Local path to save to
-        expected_size: Expected file size in bytes (for verification)
-    
-    Returns:
-        True if download succeeded and size matches (if provided), False otherwise
-    """
     os.makedirs(os.path.dirname(file_path) or OUTPUT_DIR, exist_ok=True)
     
-    # Check if file exists and has correct size
     if os.path.exists(file_path):
-        if expected_size is not None:
+        print(f"[SKIP] {file_path} already downloaded.")
-            actual_size = os.path.getsize(file_path)
+        return True
-            if actual_size == expected_size:
+    
-                print(f"[SKIP] {file_path} already downloaded and verified ({actual_size} bytes).")
+    print(f"Downloading {asset_url}...")
+    try:
+        signal.signal(signal.SIGALRM, timeout_handler)
+        signal.alarm(40)  # 40-second timeout
+        
+        req = urllib.request.Request(asset_url, headers=HEADERS)
+        with urllib.request.urlopen(req) as response:
+            signal.alarm(0)
+            
+            if response.status == 200:
+                with open(file_path, "wb") as file:
+                    while True:
+                        chunk = response.read(8192)
+                        if not chunk:
+                            break
+                        file.write(chunk)
+                print(f"Saved {file_path}")
                 return True
             else:
-                print(f"[WARN] {file_path} exists but size mismatch (expected {expected_size}, got {actual_size}). Re-downloading.")
+                print(f"Failed to download {asset_url}: {response.status} {response.msg}")
-                os.remove(file_path)
-        else:
-            print(f"[SKIP] {file_path} already downloaded.")
-            return True
-    
-    max_retries = 2
-    retry_delay = 30
-    timeout_seconds = 140
-    
-    for attempt in range(1, max_retries + 1):
-        print(f"Downloading {asset_url} (attempt {attempt}/{max_retries})")
-        try:
-            req = urllib.request.Request(asset_url, headers=HEADERS)
-            with urllib.request.urlopen(req, timeout=timeout_seconds) as response:
-                if response.status == 200:
-                    with open(file_path, "wb") as file:
-                        while True:
-                            chunk = response.read(8192)
-                            if not chunk:
-                                break
-                            file.write(chunk)
-                    
-                    # Verify file size if expected_size was provided
-                    if expected_size is not None:
-                        actual_size = os.path.getsize(file_path)
-                        if actual_size != expected_size:
-                            print(f"[ERROR] Size mismatch for {file_path}: expected {expected_size} bytes, got {actual_size} bytes")
-                            os.remove(file_path)
-                            if attempt < max_retries:
-                                print(f"Waiting {retry_delay} seconds before retry")
-                                time.sleep(retry_delay)
-                                continue
-                            return False
-                        print(f"Saved {file_path} ({actual_size} bytes, verified)")
-                    else:
-                        print(f"Saved {file_path}")
-                    return True
-                else:
-                    print(f"Failed to download {asset_url}: {response.status} {response.msg}")
-                    if attempt < max_retries:
-                        print(f"Waiting {retry_delay} seconds before retry")
-                        time.sleep(retry_delay)
-                    else:
-                        return False
-        except urllib.error.HTTPError as e:
-            if e.code == 404:
-                print(f"404 Not Found: {asset_url}")
-                raise Exception(f"Asset not found (404): {asset_url}")
-            else:
-                print(f"HTTP error occurred (attempt {attempt}/{max_retries}): {e.code} {e.reason}")
-                if attempt < max_retries:
-                    print(f"Waiting {retry_delay} seconds before retry")
-                    time.sleep(retry_delay)
-                else:
-                    return False
-        except urllib.error.URLError as e:
-            print(f"URL/Timeout error (attempt {attempt}/{max_retries}): {e}")
-            if attempt < max_retries:
-                print(f"Waiting {retry_delay} seconds before retry")
-                time.sleep(retry_delay)
-            else:
                 return False
-        except Exception as e:
+    except DownloadTimeoutException as e:
-            print(f"An error occurred (attempt {attempt}/{max_retries}): {e}")
+        print(f"Download aborted for {asset_url}: {e}")
-            if attempt < max_retries:
+        return False
-                print(f"Waiting {retry_delay} seconds before retry")
+    except Exception as e:
-                time.sleep(retry_delay)
+        print(f"An error occurred while downloading {asset_url}: {e}")
-            else:
+        return False
-                return False
-    
-    return False
 
 
 def extract_split_archive(file_paths: list, extract_dir: str) -> bool:
@@ -260,6 +202,7 @@ def extract_split_archive(file_paths: list, extract_dir: str) -> bool:
             stdin=cat_proc.stdout,
             stdout=subprocess.PIPE,
             stderr=subprocess.PIPE,
+            check=True
         )
         cat_proc.stdout.close()
         cat_stderr = cat_proc.stderr.read().decode() if cat_proc.stderr else ""
@@ -268,24 +211,6 @@ def extract_split_archive(file_paths: list, extract_dir: str) -> bool:
         if cat_stderr:
             print(f"cat stderr: {cat_stderr}")
         
-        tar_stderr = result.stderr.decode() if result.stderr else ""
-        if result.returncode != 0:
-            # GNU tar exits non-zero for format issues that BSD tar silently
-            # tolerates (e.g. trailing junk after the last valid entry).
-            # Check whether files were actually extracted before giving up.
-            extracted_items = os.listdir(extract_dir)
-            if extracted_items:
-                print(f"[WARN] tar exited {result.returncode} but extracted "
-                      f"{len(extracted_items)} items — treating as success")
-                if tar_stderr:
-                    print(f"tar stderr: {tar_stderr}")
-            else:
-                print(f"Failed to extract split archive (tar exit {result.returncode})")
-                if tar_stderr:
-                    print(f"tar stderr: {tar_stderr}")
-                shutil.rmtree(extract_dir, ignore_errors=True)
-                return False
-        
         print(f"Successfully extracted archive to {extract_dir}")
         
         # Delete tar files immediately after extraction
@@ -302,9 +227,11 @@ def extract_split_archive(file_paths: list, extract_dir: str) -> bool:
         print(f"Disk space after tar deletion: {free_gb:.1f}GB free")
         
         return True
-    except Exception as e:
+    except subprocess.CalledProcessError as e:
+        stderr_output = e.stderr.decode() if e.stderr else ""
         print(f"Failed to extract split archive: {e}")
-        shutil.rmtree(extract_dir, ignore_errors=True)
+        if stderr_output:
+            print(f"tar stderr: {stderr_output}")
         return False
 
 
@@ -578,7 +505,7 @@ def create_parquet_for_day(day, keep_folders: bool = False):
         print(f"Parquet file already exists: {parquet_path}")
         return parquet_path
     
-    print(f"Creating parquet for {version_date}")
+    print(f"Creating parquet for {version_date}...")
     rows_processed = process_version_date(version_date, keep_folders)
     
     if rows_processed > 0 and parquet_path.exists():

src/adsb/download_and_list_icaos.py

@@ -77,9 +77,8 @@ def download_and_extract(version_date: str) -> str | None:
             for asset in use_assets:
                 asset_name = asset["name"]
                 asset_url = asset["browser_download_url"]
-                asset_size = asset.get("size")  # Get expected file size
                 file_path = os.path.join(OUTPUT_DIR, asset_name)
-                if download_asset(asset_url, file_path, expected_size=asset_size):
+                if download_asset(asset_url, file_path):
                     downloaded_files.append(file_path)
     
     if not downloaded_files:
@@ -123,7 +122,7 @@ def process_single_day(target_day: datetime) -> tuple[str | None, list[str]]:
 
 from pathlib import Path
 import tarfile
-NUMBER_PARTS = 4
+NUMBER_PARTS = 16
 def split_folders_into_gzip_archives(extract_dir: Path, tar_output_dir: Path, icaos: list[str], parts = NUMBER_PARTS) -> list[str]:
     traces_dir = extract_dir / "traces"
     buckets = sorted(traces_dir.iterdir())

src/adsb/main.py

@@ -3,74 +3,33 @@ Main pipeline for processing ADS-B data from adsb.lol.
 
 Usage:
     python -m src.adsb.main --date 2026-01-01
-    python -m src.adsb.main --start_date 2026-01-01 --end_date 2026-01-03
 """
 import argparse
 import subprocess
 import sys
 from datetime import datetime, timedelta
 
-import polars as pl
-
 from src.adsb.download_and_list_icaos import NUMBER_PARTS
 
 
 def main():
-    parser = argparse.ArgumentParser(description="Process ADS-B data for a single day or date range")
+    parser = argparse.ArgumentParser(description="Process ADS-B data for a single day")
-    parser.add_argument("--date", type=str, help="Single date in YYYY-MM-DD format")
+    parser.add_argument("--date", type=str, required=True)
-    parser.add_argument("--start_date", type=str, help="Start date (inclusive, YYYY-MM-DD)")
-    parser.add_argument("--end_date", type=str, help="End date (exclusive, YYYY-MM-DD)")
-    parser.add_argument("--concat_with_latest_csv", action="store_true", help="Also concatenate with latest CSV from GitHub releases")
     args = parser.parse_args()
-
+    
-    if args.date and (args.start_date or args.end_date):
+    date_str = datetime.strptime(args.date, "%Y-%m-%d").strftime("%Y-%m-%d")
-        raise SystemExit("Use --date or --start_date/--end_date, not both.")
+    print(f"Processing day: {date_str}")
-
+    
-    if args.date:
+    # Download and split
-        start_date = datetime.strptime(args.date, "%Y-%m-%d")
+    subprocess.run([sys.executable, "-m", "src.adsb.download_and_list_icaos", "--date", date_str], check=True)
-        end_date = start_date + timedelta(days=1)
+    
-    else:
+    # Process parts
-        if not args.start_date or not args.end_date:
+    for part_id in range(NUMBER_PARTS):
-            raise SystemExit("Provide --start_date and --end_date, or use --date.")
+        subprocess.run([sys.executable, "-m", "src.adsb.process_icao_chunk", "--part-id", str(part_id), "--date", date_str], check=True)
-        start_date = datetime.strptime(args.start_date, "%Y-%m-%d")
+    
-        end_date = datetime.strptime(args.end_date, "%Y-%m-%d")
+    # Concatenate
-
+    subprocess.run([sys.executable, "src/adsb/concat_parquet_to_final.py", "--date", date_str], check=True)
-    current = start_date
+    
-    while current < end_date:
-        date_str = current.strftime("%Y-%m-%d")
-        print(f"Processing day: {date_str}")
-
-        # Download and split
-        subprocess.run([sys.executable, "-m", "src.adsb.download_and_list_icaos", "--date", date_str], check=True)
-
-        # Process parts
-        for part_id in range(NUMBER_PARTS):
-            subprocess.run([sys.executable, "-m", "src.adsb.process_icao_chunk", "--part-id", str(part_id), "--date", date_str], check=True)
-
-        # Concatenate
-        concat_cmd = [sys.executable, "-m", "src.adsb.concat_parquet_to_final", "--date", date_str]
-        if args.concat_with_latest_csv:
-            concat_cmd.append("--concat_with_latest_csv")
-        subprocess.run(concat_cmd, check=True)
-
-        current += timedelta(days=1)
-
-    if end_date - start_date > timedelta(days=1):
-        dates = []
-        cur = start_date
-        while cur < end_date:
-            dates.append(cur.strftime("%Y-%m-%d"))
-            cur += timedelta(days=1)
-        csv_files = [
-            f"data/outputs/openairframes_adsb_{d}_{d}.csv"
-            for d in dates
-        ]
-        frames = [pl.read_csv(p) for p in csv_files]
-        df = pl.concat(frames, how="vertical", rechunk=True)
-        output_path = f"data/outputs/openairframes_adsb_{start_date.strftime('%Y-%m-%d')}_{end_date.strftime('%Y-%m-%d')}.csv"
-        df.write_csv(output_path)
-        print(f"Wrote combined CSV: {output_path}")
-
     print("Done")
 
 

src/adsb/process_icao_chunk.py

@@ -31,6 +31,9 @@ from src.adsb.download_adsb_data_to_parquet import (
 )
 
 
+CHUNK_OUTPUT_DIR = os.path.join(OUTPUT_DIR, "adsb_chunks")
+os.makedirs(CHUNK_OUTPUT_DIR, exist_ok=True)
+
 # Smaller batch size for memory efficiency
 BATCH_SIZE = 100_000
 
@@ -123,16 +126,7 @@ def main():
     print(f"Processing part {args.part_id} for {args.date}")
     
     # Get specific archive file for this part
-    archive_dir = os.path.join(OUTPUT_DIR, "adsb_archives", args.date)
+    archive_path = os.path.join(OUTPUT_DIR, "adsb_archives", args.date, f"{args.date}_part_{args.part_id}.tar.gz")
-    archive_path = os.path.join(archive_dir, f"{args.date}_part_{args.part_id}.tar.gz")
-    
-    if not os.path.isfile(archive_path):
-        print(f"ERROR: Archive not found: {archive_path}")
-        if os.path.isdir(archive_dir):
-            print(f"Files in {archive_dir}: {os.listdir(archive_dir)}")
-        else:
-            print(f"Directory does not exist: {archive_dir}")
-        sys.exit(1)
     
     # Extract and collect trace files
     trace_map = build_trace_file_map(archive_path)

src/adsb/run_local.py

@@ -0,0 +1,173 @@
+#!/usr/bin/env python3
+"""
+Run the full ADS-B processing pipeline locally.
+
+Downloads adsb.lol data, processes trace files, and outputs openairframes_adsb CSV.
+
+Usage:
+    # Single day (yesterday by default)
+    python -m src.adsb.run_local
+    
+    # Single day (specific date, processes 2024-01-15 only)
+    python -m src.adsb.run_local 2024-01-15 2024-01-16
+    
+    # Date range (end date is exclusive)
+    python -m src.adsb.run_local 2024-01-01 2024-01-07
+"""
+import argparse
+import os
+import subprocess
+import sys
+from datetime import datetime, timedelta
+
+
+def run_cmd(cmd: list[str], description: str) -> None:
+    """Run a command and exit on failure."""
+    print(f"\n>>> {' '.join(cmd)}")
+    result = subprocess.run(cmd)
+    if result.returncode != 0:
+        print(f"ERROR: {description} failed with exit code {result.returncode}")
+        sys.exit(result.returncode)
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Run full ADS-B processing pipeline locally",
+        usage="python -m src.adsb.run_local [start_date] [end_date]"
+    )
+    parser.add_argument(
+        "start_date",
+        nargs="?",
+        help="Start date (YYYY-MM-DD, inclusive). Default: yesterday"
+    )
+    parser.add_argument(
+        "end_date",
+        nargs="?",
+        help="End date (YYYY-MM-DD, exclusive). If omitted, processes single day (start_date + 1)"
+    )
+    parser.add_argument(
+        "--chunks",
+        type=int,
+        default=4,
+        help="Number of parallel chunks (default: 4)"
+    )
+    parser.add_argument(
+        "--chunk-days",
+        type=int,
+        default=1,
+        help="Days per chunk for date range processing (default: 1)"
+    )
+    parser.add_argument(
+        "--skip-base",
+        action="store_true",
+        default=True,
+        help="Skip downloading and merging with base release (default: True for historical runs)"
+    )
+    args = parser.parse_args()
+
+    # Determine dates
+    if args.start_date:
+        start_date = datetime.strptime(args.start_date, "%Y-%m-%d")
+    else:
+        start_date = datetime.utcnow() - timedelta(days=1)
+    
+    if args.end_date:
+        end_date = datetime.strptime(args.end_date, "%Y-%m-%d")
+    else:
+        # Default: process single day (end = start + 1 day, exclusive)
+        end_date = start_date + timedelta(days=1)
+    
+    start_str = start_date.strftime("%Y-%m-%d")
+    end_str = end_date.strftime("%Y-%m-%d")
+    
+    # Generate date chunks
+    date_chunks = []
+    current = start_date
+    while current < end_date:
+        chunk_end = min(current + timedelta(days=args.chunk_days), end_date)
+        date_chunks.append({
+            'start': current.strftime("%Y-%m-%d"),
+            'end': chunk_end.strftime("%Y-%m-%d")
+        })
+        current = chunk_end
+    
+    print("=" * 60)
+    print("ADS-B Processing Pipeline")
+    print("=" * 60)
+    print(f"Date range: {start_str} to {end_str} (exclusive)")
+    print(f"Date chunks: {len(date_chunks)} ({args.chunk_days} days each)")
+    print(f"ICAO chunks: {args.chunks}")
+    print("=" * 60)
+    
+    # Process each date chunk
+    for idx, date_chunk in enumerate(date_chunks, 1):
+        chunk_start = date_chunk['start']
+        chunk_end = date_chunk['end']
+        
+        # Convert exclusive end date to inclusive for subcommands
+        # download_and_list_icaos and process_icao_chunk treat both dates as inclusive
+        chunk_end_inclusive = (datetime.strptime(chunk_end, "%Y-%m-%d") - timedelta(days=1)).strftime("%Y-%m-%d")
+        
+        print(f"\n{'=' * 60}")
+        print(f"Processing Date Chunk {idx}/{len(date_chunks)}: {chunk_start} to {chunk_end_inclusive} (inclusive)")
+        print('=' * 60)
+        
+        # Step 1: Download and extract
+        print("\n" + "=" * 60)
+        print("Step 1: Download and Extract")
+        print("=" * 60)
+        
+        cmd = ["python", "-m", "src.adsb.download_and_list_icaos",
+               "--start-date", chunk_start, "--end-date", chunk_end_inclusive]
+        run_cmd(cmd, "Download and extract")
+        
+        # Step 2: Process chunks
+        print("\n" + "=" * 60)
+        print("Step 2: Process Chunks")
+        print("=" * 60)
+        
+        for chunk_id in range(args.chunks):
+            print(f"\n--- ICAO Chunk {chunk_id + 1}/{args.chunks} ---")
+            cmd = ["python", "-m", "src.adsb.process_icao_chunk",
+                   "--chunk-id", str(chunk_id),
+                   "--total-chunks", str(args.chunks),
+                   "--start-date", chunk_start,
+                   "--end-date", chunk_end_inclusive]
+            run_cmd(cmd, f"Process ICAO chunk {chunk_id}")
+    
+    # Step 3: Combine all chunks to CSV
+    print("\n" + "=" * 60)
+    print("Step 3: Combine All Chunks to CSV")
+    print("=" * 60)
+    
+    chunks_dir = "./data/output/adsb_chunks"
+    cmd = ["python", "-m", "src.adsb.combine_chunks_to_csv",
+           "--chunks-dir", chunks_dir,
+           "--start-date", start_str,
+           "--end-date", end_str,
+           "--stream"]
+    
+    if args.skip_base:
+        cmd.append("--skip-base")
+    
+    run_cmd(cmd, "Combine chunks")
+    
+    print("\n" + "=" * 60)
+    print("Done!")
+    print("=" * 60)
+    
+    # Show output
+    output_dir = "./data/openairframes"
+    # Calculate actual end date for filename (end_date - 1 day since it's exclusive)
+    actual_end = (end_date - timedelta(days=1)).strftime("%Y-%m-%d")
+    output_file = f"openairframes_adsb_{start_str}_{actual_end}.csv.gz"
+    
+    output_path = os.path.join(output_dir, output_file)
+    if os.path.exists(output_path):
+        size_mb = os.path.getsize(output_path) / (1024 * 1024)
+        print(f"Output: {output_path}")
+        print(f"Size: {size_mb:.1f} MB")
+
+
+if __name__ == "__main__":
+    main()

src/contributions/approve_submission.py

@@ -246,20 +246,6 @@ def process_submission(
     if schema_updated:
         schema_note = f"\n**Schema Updated:** Added new tags: `{', '.join(new_tags)}`\n"
     
-    # Truncate JSON preview to stay under GitHub's 65536 char body limit
-    max_json_preview = 50000
-    if len(content_json) > max_json_preview:
-        # Show first few entries as a preview
-        preview_entries = submissions[:10]
-        preview_json = json.dumps(preview_entries, indent=2, sort_keys=True)
-        json_section = (
-            f"### Submissions (showing 10 of {len(submissions)})\n"
-            f"```json\n{preview_json}\n```\n\n"
-            f"*Full submission ({len(submissions)} entries, {len(content_json):,} chars) is in the committed file.*"
-        )
-    else:
-        json_section = f"### Submissions\n```json\n{content_json}\n```"
-
     pr_body = f"""## Community Submission
 
 Adds {len(submissions)} submission(s) from @{author_username}.
@@ -271,7 +257,10 @@ Closes #{issue_number}
 
 ---
 
-{json_section}"""
+### Submissions
+```json
+{content_json}
+```"""
     
     pr = create_pull_request(
         title=f"Community submission: {filename}",

src/contributions/create_daily_community_release.py

@@ -24,7 +24,7 @@ def read_all_submissions(community_dir: Path) -> list[dict]:
     """Read all JSON submissions from the community directory."""
     all_submissions = []
     
-    for json_file in sorted(community_dir.glob("**/*.json")):
+    for json_file in sorted(community_dir.glob("*.json")):
         try:
             with open(json_file) as f:
                 data = json.load(f)

src/contributions/schema.py

@@ -36,52 +36,6 @@ def get_latest_schema_version() -> int:
     return max_version
 
 
-def _is_balanced_json(text: str) -> bool:
-    """
-    Check if JSON has balanced brackets/braces.
-    
-    This is a simple check to ensure we captured complete JSON.
-    Ignores brackets/braces inside strings.
-    
-    Args:
-        text: JSON text to check
-        
-    Returns:
-        True if balanced, False otherwise
-    """
-    in_string = False
-    escape = False
-    stack = []
-    pairs = {'[': ']', '{': '}'}
-    
-    for char in text:
-        if escape:
-            escape = False
-            continue
-            
-        if char == '\\':
-            escape = True
-            continue
-            
-        if char == '"' and not escape:
-            in_string = not in_string
-            continue
-            
-        if in_string:
-            continue
-            
-        if char in pairs:
-            stack.append(char)
-        elif char in pairs.values():
-            if not stack:
-                return False
-            if pairs[stack[-1]] != char:
-                return False
-            stack.pop()
-    
-    return len(stack) == 0 and not in_string
-
-
 def get_schema_path(version: int | None = None) -> Path:
     """
     Get path to a specific schema version, or latest if version is None.
@@ -208,14 +162,10 @@ def extract_json_from_issue_body(body: str) -> str | None:
         return match.group(1).strip()
     
     # Try: Raw JSON after "### Submission JSON" until next section or end
-    # Use greedy matching since we have a clear boundary (next ### or end)
+    pattern_raw = r"### Submission JSON\s*\n\s*([\[{][\s\S]*?[\]}])(?=\n###|\n\n###|$)"
-    pattern_raw = r"### Submission JSON\s*\n\s*([\[{][\s\S]*[\]}])(?=\s*\n###|\s*$)"
     match = re.search(pattern_raw, body)
     if match:
-        candidate = match.group(1).strip()
+        return match.group(1).strip()
-        # Validate it's complete JSON by checking balanced brackets
-        if _is_balanced_json(candidate):
-            return candidate
     
     # Try: Any JSON object/array in the body (fallback)
     pattern_any = r"([\[{][\s\S]*?[\]}])"
@@ -269,19 +219,7 @@ def parse_and_validate(json_str: str, schema: dict | None = None) -> tuple[list
     try:
         data = json.loads(json_str)
     except json.JSONDecodeError as e:
-        # Provide detailed error context
+        return None, [f"Invalid JSON: {e}"]
-        error_msg = f"Invalid JSON: {e}"
-        
-        # Show context around the error position
-        if hasattr(e, 'pos') and e.pos is not None:
-            start = max(0, e.pos - 50)
-            end = min(len(json_str), e.pos + 50)
-            context = json_str[start:end]
-            # Escape for readability
-            context_escaped = repr(context)
-            error_msg += f"\n\nContext around position {e.pos}: {context_escaped}"
-        
-        return None, [error_msg]
     
     errors = validate_submission(data, schema)
     return data, errors

src/get_latest_release.py

@@ -27,33 +27,6 @@ def _http_get_json(url: str, headers: dict[str, str]) -> dict:
     return json.loads(data.decode("utf-8"))
 
 
-def get_releases(repo: str = REPO, github_token: Optional[str] = None, per_page: int = 30) -> list[dict]:
-    """Get a list of releases from the repository."""
-    url = f"https://api.github.com/repos/{repo}/releases?per_page={per_page}"
-    headers = {
-        "Accept": "application/vnd.github+json",
-        "User-Agent": "openairframes-downloader/1.0",
-    }
-    if github_token:
-        headers["Authorization"] = f"Bearer {github_token}"
-
-    return _http_get_json(url, headers=headers)
-
-
-def get_release_assets_from_release_data(release_data: dict) -> list[ReleaseAsset]:
-    """Extract assets from a release data dictionary."""
-    assets = []
-    for a in release_data.get("assets", []):
-        assets.append(
-            ReleaseAsset(
-                name=a["name"],
-                download_url=a["browser_download_url"],
-                size=int(a.get("size", 0)),
-            )
-        )
-    return assets
-
-
 def get_latest_release_assets(repo: str = REPO, github_token: Optional[str] = None) -> list[ReleaseAsset]:
     url = f"https://api.github.com/repos/{repo}/releases/latest"
     headers = {
@@ -64,7 +37,16 @@ def get_latest_release_assets(repo: str = REPO, github_token: Optional[str] = No
         headers["Authorization"] = f"Bearer {github_token}"
 
     payload = _http_get_json(url, headers=headers)
-    return get_release_assets_from_release_data(payload)
+    assets = []
+    for a in payload.get("assets", []):
+        assets.append(
+            ReleaseAsset(
+                name=a["name"],
+                download_url=a["browser_download_url"],
+                size=int(a.get("size", 0)),
+            )
+        )
+    return assets
 
 
 def pick_asset(
@@ -173,8 +155,7 @@ def download_latest_aircraft_adsb_csv(
     repo: str = REPO,
 ) -> Path:
     """
-    Download the latest openairframes_adsb_*.csv file from GitHub releases.
+    Download the latest openairframes_adsb_*.csv file from the latest GitHub release.
-    If the latest release doesn't have the file, searches previous releases.
 
     Args:
         output_dir: Directory to save the downloaded file (default: "downloads")
@@ -185,69 +166,26 @@ def download_latest_aircraft_adsb_csv(
         Path to the downloaded file
     """
     output_dir = Path(output_dir)
-    
+    assets = get_latest_release_assets(repo, github_token=github_token)
-    # Get multiple releases
+    asset = pick_asset(assets, name_regex=r"^openairframes_adsb_.*\.csv(\.gz)?$")
-    releases = get_releases(repo, github_token=github_token, per_page=30)
+    saved_to = download_asset(asset, output_dir / asset.name, github_token=github_token)
-    
+    print(f"Downloaded: {asset.name} ({asset.size} bytes) -> {saved_to}")
-    # Try each release until we find one with the matching asset
+    return saved_to
-    for release in releases:
+
-        assets = get_release_assets_from_release_data(release)
-        try:
-            asset = pick_asset(assets, name_regex=r"^openairframes_adsb_.*\.csv(\.gz)?$")
-            saved_to = download_asset(asset, output_dir / asset.name, github_token=github_token)
-            print(f"Downloaded: {asset.name} ({asset.size} bytes) -> {saved_to}")
-            return saved_to
-        except FileNotFoundError:
-            # This release doesn't have the matching asset, try the next one
-            continue
-    
-    raise FileNotFoundError(
-        f"No release in the last 30 releases has an asset matching 'openairframes_adsb_.*\\.csv(\\.gz)?$'"
-    )
 
-import polars as pl
 def get_latest_aircraft_adsb_csv_df():
-    """Download and load the latest ADS-B CSV from GitHub releases.
-    
-    Returns:
-        tuple: (df, start_date, end_date) where dates are in YYYY-MM-DD format
-    """
-    import re
-    
     csv_path = download_latest_aircraft_adsb_csv()
-    df = pl.read_csv(csv_path, null_values=[""])
+    import pandas as pd
-    
+    df = pd.read_csv(csv_path)
-    # Parse time column: values like "2025-12-31T00:00:00.040" or "2025-05-11T15:15:50.540+0000"
+    df = df.fillna("")
-    # Try with timezone first (convert to naive), then without timezone
+    # Extract start date from filename pattern: openairframes_adsb_{start_date}_{end_date}.csv[.gz]
-    df = df.with_columns(
+    match = re.search(r"openairframes_adsb_(\d{4}-\d{2}-\d{2})_", str(csv_path))
-        pl.col("time").str.strptime(pl.Datetime("ms"), "%Y-%m-%dT%H:%M:%S%.f%z", strict=False)
-            .dt.replace_time_zone(None)  # Convert to naive datetime first
-            .fill_null(pl.col("time").str.strptime(pl.Datetime("ms"), "%Y-%m-%dT%H:%M:%S%.f", strict=False))
-    )
-
-    # Cast dbFlags and year to strings to match the schema used in compress functions
-    for col in ['dbFlags', 'year']:
-        if col in df.columns:
-            df = df.with_columns(pl.col(col).cast(pl.Utf8))
-    
-    # Fill nulls with empty strings for string columns
-    for col in df.columns:
-        if df[col].dtype == pl.Utf8:
-            df = df.with_columns(pl.col(col).fill_null(""))
-    
-    # Extract start and end dates from filename pattern: openairframes_adsb_{start_date}_{end_date}.csv[.gz]
-    match = re.search(r"openairframes_adsb_(\d{4}-\d{2}-\d{2})_(\d{4}-\d{2}-\d{2})\.csv", str(csv_path))
     if not match:
-        raise ValueError(f"Could not extract dates from filename: {csv_path.name}")
+        raise ValueError(f"Could not extract date from filename: {csv_path.name}")
     
-    start_date = match.group(1)
+    date_str = match.group(1)
-    end_date = match.group(2)
+    return df, date_str
-    print(df.columns)
-    print(df.dtypes)
-    return df, start_date, end_date
-
 
 
 if __name__ == "__main__":
     download_latest_aircraft_csv()
-    download_latest_aircraft_adsb_csv()