Files
OpenAirframes/src/contributions/read_community_data.py
T
2026-02-13 11:37:31 -05:00

163 lines
4.8 KiB
Python

#!/usr/bin/env python3
"""
Read and aggregate all community submission data.
Usage:
python -m src.contributions.read_community_data
python -m src.contributions.read_community_data --output merged.json
"""
import argparse
import json
import sys
from pathlib import Path
COMMUNITY_DIR = Path(__file__).parent.parent.parent / "community"
def read_all_submissions(community_dir: Path | None = None) -> list[dict]:
"""
Read all JSON submissions from the community directory.
Args:
community_dir: Path to community directory. Uses default if None.
Returns:
List of all submission dictionaries
"""
if community_dir is None:
community_dir = COMMUNITY_DIR
all_submissions = []
# Search both root directory and date subdirectories (e.g., 2026-02-12/)
for json_file in sorted(community_dir.glob("**/*.json")):
try:
with open(json_file) as f:
data = json.load(f)
# Normalize to list
submissions = data if isinstance(data, list) else [data]
# Add source file metadata
for submission in submissions:
submission["_source_file"] = json_file.name
all_submissions.extend(submissions)
except (json.JSONDecodeError, OSError) as e:
print(f"Warning: Failed to read {json_file}: {e}", file=sys.stderr)
return all_submissions
def get_python_type_name(value) -> str:
"""Get a normalized type name for a value."""
if value is None:
return "null"
if isinstance(value, bool):
return "boolean"
if isinstance(value, int):
return "integer"
if isinstance(value, float):
return "number"
if isinstance(value, str):
return "string"
if isinstance(value, list):
return "array"
if isinstance(value, dict):
return "object"
return type(value).__name__
def build_tag_type_registry(submissions: list[dict]) -> dict[str, str]:
"""
Build a registry of tag names to their expected types from existing submissions.
Args:
submissions: List of existing submission dictionaries
Returns:
Dict mapping tag name to expected type (e.g., {"internet": "string", "year_built": "integer"})
"""
tag_types = {}
for submission in submissions:
tags = submission.get("tags", {})
if not isinstance(tags, dict):
continue
for key, value in tags.items():
inferred_type = get_python_type_name(value)
if key not in tag_types:
tag_types[key] = inferred_type
# If there's a conflict, keep the first type (it's already in use)
return tag_types
def group_by_identifier(submissions: list[dict]) -> dict[str, list[dict]]:
"""
Group submissions by their identifier (registration, transponder, or airframe ID).
Returns:
Dict mapping identifier to list of submissions for that identifier
"""
grouped = {}
for submission in submissions:
# Determine identifier
if "registration_number" in submission:
key = f"reg:{submission['registration_number']}"
elif "transponder_code_hex" in submission:
key = f"icao:{submission['transponder_code_hex']}"
elif "openairframes_id" in submission:
key = f"id:{submission['openairframes_id']}"
else:
key = "_unknown"
if key not in grouped:
grouped[key] = []
grouped[key].append(submission)
return grouped
def main():
parser = argparse.ArgumentParser(description="Read community submission data")
parser.add_argument("--output", "-o", help="Output file (default: stdout)")
parser.add_argument("--group", action="store_true", help="Group by identifier")
parser.add_argument("--stats", action="store_true", help="Print statistics only")
args = parser.parse_args()
submissions = read_all_submissions()
if args.stats:
grouped = group_by_identifier(submissions)
contributors = set(s.get("contributor_uuid", "unknown") for s in submissions)
print(f"Total submissions: {len(submissions)}")
print(f"Unique identifiers: {len(grouped)}")
print(f"Unique contributors: {len(contributors)}")
return
if args.group:
result = group_by_identifier(submissions)
else:
result = submissions
output = json.dumps(result, indent=2)
if args.output:
with open(args.output, "w") as f:
f.write(output)
print(f"Wrote {len(submissions)} submissions to {args.output}")
else:
print(output)
if __name__ == "__main__":
main()