agnes-the-ai-analyst/connectors/jira/scripts/backfill_remote_links.py
Petr 86edd27655 Extract Jira into connectors/jira module
Move all Jira-specific code into a self-contained connector module:
- 22 files moved via git mv (transform, service, webhook, scripts,
  systemd units, tests, docs, bin helper)
- All imports updated to use connectors.jira.* paths
- Jira is now conditional: auto-detected via JIRA_DOMAIN env var
- Webapp registers Jira blueprint only when available
- Health service monitors Jira timers only when enabled
- Profiler loads Jira tables dynamically from filesystem
- Sync settings uses config-driven dependency validation
- Renamed keboola_platform_url -> custom_url in transform
- Updated deploy.sh, sudoers-deploy, backfill_gap.sh paths
- Fixed pytest.ini to skip live tests by default
2026-03-09 11:17:50 +01:00

252 lines
7.3 KiB
Python

#!/usr/bin/env python3
"""
Jira Remote Links Backfill - Add _remote_links to existing issue JSONs.
One-time migration script that fetches remote links from Jira API
and embeds them into existing issue JSON files. This enables the
Parquet transform to extract remote_links table data.
Usage:
# On server (uses /opt/data-analyst/.env):
python -m connectors.jira.scripts.backfill_remote_links
# With parallel workers:
python -m connectors.jira.scripts.backfill_remote_links --parallel 4
# Dry run:
python -m connectors.jira.scripts.backfill_remote_links --dry-run
Environment variables (loaded from .env):
JIRA_DOMAIN - Jira Cloud domain
JIRA_EMAIL - Email for API authentication
JIRA_API_TOKEN - API token from Atlassian
JIRA_DATA_DIR - Directory for storing data (default: /data/src_data/raw/jira)
"""
import argparse
import json
import logging
import os
import sys
import tempfile
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
from pathlib import Path
import httpx
from dotenv import load_dotenv
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] %(message)s",
datefmt="%Y-%m-%d %H:%M:%S",
)
logger = logging.getLogger(__name__)
def load_config() -> dict:
"""Load configuration from environment variables."""
env_paths = [
Path("/opt/data-analyst/.env"),
Path.cwd() / ".env",
Path(__file__).parent.parent / ".env",
]
for env_path in env_paths:
if env_path.exists():
load_dotenv(env_path)
logger.info(f"Loaded environment from {env_path}")
break
required = ["JIRA_DOMAIN", "JIRA_EMAIL", "JIRA_API_TOKEN"]
missing = [var for var in required if not os.environ.get(var)]
if missing:
raise ValueError(f"Missing required environment variables: {', '.join(missing)}")
return {
"domain": os.environ["JIRA_DOMAIN"],
"email": os.environ["JIRA_EMAIL"],
"api_token": os.environ["JIRA_API_TOKEN"],
"data_dir": Path(os.environ.get("JIRA_DATA_DIR", "/data/src_data/raw/jira")),
}
def fetch_remote_links(
base_url: str, auth: tuple[str, str], issue_key: str
) -> list[dict]:
"""Fetch remote links for a single issue from Jira API."""
url = f"{base_url}/issue/{issue_key}/remotelink"
try:
with httpx.Client(timeout=30) as client:
response = client.get(
url,
auth=auth,
headers={"Accept": "application/json"},
)
if response.status_code == 200:
return response.json()
elif response.status_code == 404:
return []
elif response.status_code == 429:
retry_after = int(response.headers.get("Retry-After", 60))
logger.warning(f"Rate limited, waiting {retry_after}s...")
time.sleep(retry_after)
return fetch_remote_links(base_url, auth, issue_key)
else:
logger.debug(
f"Failed to fetch remote links for {issue_key}: {response.status_code}"
)
return []
except httpx.RequestError as e:
logger.debug(f"Error fetching remote links for {issue_key}: {e}")
return []
def process_file(
json_path: Path, base_url: str, auth: tuple[str, str]
) -> str:
"""
Process a single issue JSON file.
Returns: "processed", "skipped", or "failed"
"""
try:
with open(json_path) as f:
data = json.load(f)
# Skip if already has _remote_links
if "_remote_links" in data:
return "skipped"
issue_key = data.get("key")
if not issue_key:
return "failed"
# Fetch remote links
remote_links = fetch_remote_links(base_url, auth, issue_key)
# Embed in data
data["_remote_links"] = remote_links
# Atomic write: temp file + replace
fd, tmp_path = tempfile.mkstemp(
dir=str(json_path.parent), suffix=".tmp"
)
try:
with os.fdopen(fd, "w") as f:
json.dump(data, f, indent=2, default=str)
os.replace(tmp_path, str(json_path))
except Exception:
try:
os.unlink(tmp_path)
except OSError:
pass
raise
return "processed"
except Exception as e:
logger.error(f"Error processing {json_path.name}: {e}")
return "failed"
def main():
parser = argparse.ArgumentParser(
description="Backfill _remote_links into existing Jira issue JSONs",
)
parser.add_argument(
"--parallel",
type=int,
default=4,
help="Number of parallel workers (default: 4)",
)
parser.add_argument(
"--dry-run",
action="store_true",
help="Only count files, don't fetch or modify",
)
parser.add_argument(
"--data-dir",
type=Path,
help="Override data directory",
)
args = parser.parse_args()
config = load_config()
data_dir = args.data_dir or config["data_dir"]
issues_dir = data_dir / "issues"
if not issues_dir.exists():
logger.error(f"Issues directory not found: {issues_dir}")
sys.exit(1)
base_url = f"https://{config['domain']}/rest/api/3"
auth = (config["email"], config["api_token"])
# Enumerate JSON files
json_files = list(issues_dir.glob("*.json"))
total = len(json_files)
logger.info(f"Found {total} issue JSON files in {issues_dir}")
if args.dry_run:
# Count how many already have _remote_links
already_done = 0
for jf in json_files:
try:
with open(jf) as f:
data = json.load(f)
if "_remote_links" in data:
already_done += 1
except Exception:
pass
logger.info(f"Already have _remote_links: {already_done}")
logger.info(f"Would process: {total - already_done}")
return
# Process files
stats = {"processed": 0, "skipped": 0, "failed": 0}
start_time = time.time()
with ThreadPoolExecutor(max_workers=args.parallel) as executor:
futures = {
executor.submit(process_file, jf, base_url, auth): jf
for jf in json_files
}
done_count = 0
for future in as_completed(futures):
done_count += 1
result = future.result()
stats[result] += 1
if done_count % 200 == 0:
elapsed = time.time() - start_time
rate = done_count / elapsed if elapsed > 0 else 0
logger.info(
f"Progress: {done_count}/{total} "
f"({rate:.1f}/s) - "
f"processed: {stats['processed']}, "
f"skipped: {stats['skipped']}, "
f"failed: {stats['failed']}"
)
elapsed = time.time() - start_time
logger.info("=" * 60)
logger.info("Remote links backfill completed!")
logger.info(f"Total files: {total}")
logger.info(f"Processed: {stats['processed']}")
logger.info(f"Skipped (already had _remote_links): {stats['skipped']}")
logger.info(f"Failed: {stats['failed']}")
logger.info(f"Time: {elapsed:.1f}s")
logger.info("=" * 60)
if stats["failed"] > 0:
sys.exit(1)
if __name__ == "__main__":
main()