feat: incremental snapshot fetch with JSON cache and state file

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Tudor Sitaru
2026-05-16 20:22:54 +01:00
parent 68d5996165
commit 5524373e78
2 changed files with 115 additions and 44 deletions
+38 -38
View File
@@ -587,8 +587,8 @@ class SnapshotDownloader:
Args: Args:
snapshots: List of snapshot dictionaries snapshots: List of snapshot dictionaries
date_from: Start date date_from: Start date shown in the HTML page title (does not affect the filename)
date_to: End date date_to: End date shown in the HTML page title (does not affect the filename)
Returns: Returns:
Path to the generated HTML file Path to the generated HTML file
@@ -598,7 +598,7 @@ class SnapshotDownloader:
snapshots, key=lambda x: x.get("startTime", ""), reverse=True snapshots, key=lambda x: x.get("startTime", ""), reverse=True
) )
# Generate filename # Fixed filename — overwritten on each run
filename = "snapshots.html" filename = "snapshots.html"
filepath = self.output_dir / filename filepath = self.output_dir / filename
@@ -1021,60 +1021,60 @@ class SnapshotDownloader:
max_pages: int = None, max_pages: int = None,
) -> Path: ) -> Path:
""" """
Download all snapshots and generate HTML file. Download new snapshots incrementally and regenerate snapshots.html.
Args: date_from is used only on the first run (no last_run.json).
type_ids: List of type IDs to filter by (default: [15]) date_to is always today regardless of what is passed.
date_from: Start date in YYYY-MM-DD format
date_to: End date in YYYY-MM-DD format
max_pages: Maximum number of pages to fetch
Returns:
Path to generated HTML file
""" """
# Set default dates if not provided
if date_from is None:
# Default to 1 year ago
date_from = (datetime.now() - timedelta(days=365)).strftime("%Y-%m-%d")
if date_to is None:
date_to = datetime.now().strftime("%Y-%m-%d") date_to = datetime.now().strftime("%Y-%m-%d")
self.logger.info( # Determine fetch window start
f"Starting snapshot download for period {date_from} to {date_to}" last_run_date = self.load_last_run_date()
) if last_run_date:
fetch_from = last_run_date
self.logger.info(f"Incremental run: fetching from {fetch_from}")
else:
if date_from is None:
date_from = (datetime.now() - timedelta(days=365)).strftime("%Y-%m-%d")
fetch_from = date_from
self.logger.info(f"First run: fetching all snapshots from {fetch_from}")
self.logger.info(f"Fetch window: {fetch_from} to {date_to}")
# Load accumulated snapshot data
existing_snapshots = self.load_snapshot_cache()
self.logger.info(f"Loaded {len(existing_snapshots)} snapshots from cache")
# Create aiohttp session
connector = aiohttp.TCPConnector(limit=100, limit_per_host=30) connector = aiohttp.TCPConnector(limit=100, limit_per_host=30)
timeout = aiohttp.ClientTimeout(total=30) timeout = aiohttp.ClientTimeout(total=30)
async with aiohttp.ClientSession( async with aiohttp.ClientSession(connector=connector, timeout=timeout) as session:
connector=connector, timeout=timeout
) as session:
try:
# Authenticate if needed # Authenticate if needed
await self.authenticate() await self.authenticate()
# Fetch all snapshots # Fetch only new snapshots
snapshots = await self.fetch_all_snapshots( new_snapshots = await self.fetch_all_snapshots(
session, type_ids, date_from, date_to, max_pages session, type_ids, fetch_from, date_to, max_pages
) )
if not snapshots: # Merge: deduplicate by id
self.logger.warning("No snapshots found for the specified period") existing_ids = {s.get("id") for s in existing_snapshots}
added = [s for s in new_snapshots if s.get("id") not in existing_ids]
merged = existing_snapshots + added
self.logger.info(f"Added {len(added)} new snapshots (total: {len(merged)})")
if not merged:
self.logger.warning("No snapshots found")
return None return None
# Generate HTML file # Persist updated cache and state
html_file = await self.generate_html_file(snapshots, date_from, date_to) self.save_snapshot_cache(merged)
html_file = await self.generate_html_file(merged, date_from or fetch_from, date_to)
self.save_last_run_date(date_to)
# Print statistics
self.print_statistics() self.print_statistics()
return html_file return html_file
except Exception as e:
self.logger.error(f"Error during snapshot download: {e}")
raise
def print_statistics(self): def print_statistics(self):
"""Print download statistics.""" """Print download statistics."""
print("\n" + "=" * 60) print("\n" + "=" * 60)
+71
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@@ -86,3 +86,74 @@ def test_generate_html_file_uses_fixed_filename(tmp_path):
result = asyncio.run(d.generate_html_file([], "2024-01-01", "2025-01-01")) result = asyncio.run(d.generate_html_file([], "2024-01-01", "2025-01-01"))
assert result.name == "snapshots.html" assert result.name == "snapshots.html"
assert (tmp_path / "snapshots.html").exists() assert (tmp_path / "snapshots.html").exists()
# --- incremental download_snapshots ---
def _run_download(d, **kwargs):
"""Run download_snapshots with mocked API calls."""
new_snapshots = kwargs.pop("new_snapshots", [])
mock_fetch = AsyncMock(return_value=new_snapshots)
with patch.object(d, "authenticate", new_callable=AsyncMock):
with patch.object(d, "fetch_all_snapshots", mock_fetch):
with patch.object(d, "generate_html_file", new_callable=AsyncMock,
return_value=d.output_dir / "snapshots.html"):
asyncio.run(d.download_snapshots(**kwargs))
return mock_fetch
def test_first_run_saves_cache_and_state(tmp_path):
d = _downloader(tmp_path)
new_snapshots = [{"id": "abc", "startTime": "2025-01-15T10:00:00Z"}]
_run_download(d, date_from="2024-01-01", new_snapshots=new_snapshots)
assert d.load_snapshot_cache() == new_snapshots
assert d.load_last_run_date() is not None
def test_subsequent_run_uses_last_run_date_as_fetch_from(tmp_path):
d = _downloader(tmp_path)
d.save_last_run_date("2025-03-01")
d.save_snapshot_cache([{"id": "old", "startTime": "2025-02-01T00:00:00Z"}])
new_snapshots = [{"id": "new", "startTime": "2025-03-15T00:00:00Z"}]
mock_fetch = _run_download(d, date_from="2024-01-01", new_snapshots=new_snapshots)
# Third positional arg to fetch_all_snapshots is date_from (after session, type_ids)
assert mock_fetch.call_args.args[2] == "2025-03-01"
ids = {s["id"] for s in d.load_snapshot_cache()}
assert ids == {"old", "new"}
def test_deduplication_by_id(tmp_path):
d = _downloader(tmp_path)
d.save_last_run_date("2025-01-01")
d.save_snapshot_cache([{"id": "dup", "startTime": "2025-01-01T00:00:00Z"}])
# API returns the boundary snapshot again plus one new one
new_snapshots = [
{"id": "dup", "startTime": "2025-01-01T00:00:00Z"},
{"id": "fresh", "startTime": "2025-01-02T00:00:00Z"},
]
_run_download(d, date_from="2024-01-01", new_snapshots=new_snapshots)
cache = d.load_snapshot_cache()
ids = [s["id"] for s in cache]
assert ids.count("dup") == 1
assert "fresh" in ids
def test_fetch_failure_does_not_update_state(tmp_path):
d = _downloader(tmp_path)
d.save_last_run_date("2025-01-01")
d.save_snapshot_cache([{"id": "existing"}])
with patch.object(d, "authenticate", new_callable=AsyncMock):
with patch.object(d, "fetch_all_snapshots", new_callable=AsyncMock,
side_effect=Exception("network error")):
with pytest.raises(Exception, match="network error"):
asyncio.run(d.download_snapshots(date_from="2024-01-01"))
assert d.load_last_run_date() == "2025-01-01"
assert d.load_snapshot_cache() == [{"id": "existing"}]