Skip to main content

ArcticDB-backed time series cache with incremental updates — fetch once, upsert the gap.

Project description

arctic-incr-cache

ArcticDB-backed time series cache with incremental updates.

First call fetches the full window from your data source and stores it in ArcticDB. Subsequent calls only fetch the gap between the cached tail and the requested end — then merge and upsert. Incomplete (still-updating) bars are automatically excluded from storage so they never overwrite finalised data.

Install

pip install arctic-incr-cache
# or
uv add arctic-incr-cache

Quick start

import datetime
import arcticdb as adb
from zoneinfo import ZoneInfo
from arctic_incr_cache import IncrCache

arctic = adb.Arctic("lmdb://data/arcticdb")
lib = arctic.get_library("ohlcv-1d", create_if_missing=True)

cache = IncrCache(
    lib,
    fetch=lambda symbol, end, count: your_api.get_daily_bars(symbol, end=end, count=count),
    get_tz=lambda symbol: ZoneInfo("America/New_York"),
)

df = cache.get("AAPL", end=datetime.date(2024, 6, 1), count=60)
  • First call — fetches 60 bars from your API, stores in ArcticDB, returns.
  • Second call (same or later end) — serves from ArcticDB; fetches only the gap if the cache is stale.

Intraday data

Set bar_minutes to the bar width and provide get_tz to return the market timezone:

from zoneinfo import ZoneInfo

intraday = IncrCache(
    lib,
    fetch=lambda symbol, end, count: your_api.get_minute_bars(symbol, end=end, count=count),
    bar_minutes=1,
    default_count=390 * 5,
    get_tz=lambda symbol: ZoneInfo("America/New_York"),
)

Concurrency

By default writes run in a daemon thread. Pass spawn and lock_class for gevent or other async runtimes:

import gevent
import gevent.lock

cache = IncrCache(
    lib,
    fetch=my_fetch,
    spawn=gevent.spawn,
    lock_class=gevent.lock.BoundedSemaphore,
)

Timezone handling

When get_tz returns a timezone for a symbol:

  • fetch return — must be tz-aware. Timestamps are converted to the configured market timezone internally.
  • Storage — data is stored in ArcticDB as tz-aware in the configured timezone.
  • Returnget() returns a tz-aware DataFrame in the configured timezone.
  • end parameterdate becomes end-of-day in market timezone; naive datetime is interpreted as local timezone, then converted; tz-aware is converted directly.

Constructor parameters

Parameter Required Description
library yes ArcticDB library instance
fetch(symbol, end, count) yes Fetch raw data from upstream; must return tz-aware timestamps
get_tz(symbol) yes Market timezone (tzinfo) for each symbol
bar_minutes no Bar width in minutes (default 1440 = daily)
default_count no Bars returned when count is omitted (default 252)
spawn no Fire-and-forget callable for async writes (default: daemon thread)
lock_class no Lock constructor (default: threading.Lock)

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

arctic_incr_cache-0.1.3.tar.gz (46.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

arctic_incr_cache-0.1.3-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file arctic_incr_cache-0.1.3.tar.gz.

File metadata

  • Download URL: arctic_incr_cache-0.1.3.tar.gz
  • Upload date:
  • Size: 46.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for arctic_incr_cache-0.1.3.tar.gz
Algorithm Hash digest
SHA256 da25bea31fa4074f62313b2753b57a7ff2a1cd321366c0026bb00b957677efea
MD5 58244ad47200d602445c28817bb71f49
BLAKE2b-256 207da68bcfff476f8698e0da207e1b79198a6b32fed1c717df9f95170dfc7283

See more details on using hashes here.

File details

Details for the file arctic_incr_cache-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for arctic_incr_cache-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 df010b9b89eac0418998baf0ae6b358d1af73d8afda84d5d4b14e76486343b02
MD5 7f19535383894efe44f036f827990aa9
BLAKE2b-256 45972ce6ac3902bca4e506db906dcb19741f91a5e38df2bc43b7279c261a476d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page