flakeid 0.1.1

Flexible 64-bit Snowflake-style unique ID generation for Python

flakeid

Flexible 64-bit Snowflake-style unique ID generation for Python.

Zero dependencies. Thread-safe. Works for a solo project or a large distributed system.

pip install flakeid

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How it works

Each ID is a 64-bit integer whose bits encode when and where it was generated:

 63        22 21    17 16    12 11          0
┌──┬────────────┬───────┬───────┬────────────┐
│ 0│ timestamp  │  DC   │  node │  sequence  │
│1b│  41 bits   │ 5 bits│ 5 bits│  12 bits   │
└──┴────────────┴───────┴───────┴────────────┘

• Sign bit — always 0, keeping IDs positive in every database and language.
• Timestamp — milliseconds since a custom epoch (default: 2020-01-01 UTC).
• Datacenter / Machine IDs — identify the node that generated the ID.
• Sequence — a counter that resets each millisecond, preventing collisions on the same node.

All four field widths are configurable — any field can be resized or removed entirely, as long as the four values sum to 63.

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Installation

pip install flakeid

Requires Python ≥ 3.9. No external dependencies.

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Quickstart

Zero-config (smallest possible integration)

import flakeid

uid = flakeid.next_id()        # → 123456789012345678  (one ID)
ids = flakeid.next_ids(100)    # → [...]               (bulk)

The default generator uses a minimal layout (no node identity) and is lazily initialised on first call.

---

Custom generator — Twitter layout

from flakeid import make_generator, PRESET_TWITTER

gen = make_generator(PRESET_TWITTER, datacenter_id=1, machine_id=7)
uid = gen.next_id()

# Inspect what's inside
print(gen.decode(uid))
# DecodedID(raw=..., generated_at='2025-03-15T10:22:01.123Z',
#           datacenter_id=1, machine_id=7, sequence=0)

# Check the theoretical limits of this config
print(gen.capacity())
# Capacity(years=69.7, nodes=1024, ids_per_sec=4,096,000)

---

Built-in presets

Preset	Layout	Use case
PRESET_TWITTER	41 ts · 5 DC · 5 node · 12 seq	Classic Twitter / Discord layout
PRESET_MINIMAL	53 ts · 10 seq	Solo projects, scripts, single box
PRESET_SINGLE_DC	41 ts · 10 node · 12 seq	One DC, many workers
PRESET_LARGE_CLUSTER	41 ts · 8 DC · 8 node · 6 seq	256 DCs × 256 machines
PRESET_HIGH_THROUGHPUT	41 ts · 3 DC · 3 node · 16 seq	Max IDs/ms, few nodes

from flakeid import make_generator, PRESET_MINIMAL, PRESET_LARGE_CLUSTER

# By dict
gen = make_generator(PRESET_MINIMAL)

# By name string
gen = make_generator("large_cluster", datacenter_id=200, machine_id=100)

---

Fully custom layout

Any four values that sum to 63 work:

from flakeid import SnowflakeGenerator

gen = SnowflakeGenerator(
    timestamp_bits=41,
    datacenter_bits=8,   # up to 256 datacenters
    machine_bits=8,      # up to 256 machines per DC
    sequence_bits=6,     # 64 IDs/ms/node
    datacenter_id=200,
    machine_id=100,
)
uid = gen.next_id()

---

Container / cloud deployment — read node IDs from env vars

from flakeid import make_generator_from_env

# Reads FLAKEID_DATACENTER_ID and FLAKEID_MACHINE_ID from the environment.
# Falls back to 0 if the variables are not set.
gen = make_generator_from_env("twitter")

Set in your Dockerfile / docker-compose.yml / Kubernetes env: block:

FLAKEID_DATACENTER_ID=3
FLAKEID_MACHINE_ID=12

Custom variable names are supported:

gen = make_generator_from_env(
    "twitter",
    datacenter_env="MY_APP_DC",
    machine_env="MY_APP_NODE",
)

---

Infinite ID stream

from flakeid import make_generator, PRESET_TWITTER

gen = make_generator(PRESET_TWITTER)

for uid in gen.stream():
    save_to_db(uid)

---

Decoding an ID

dec = gen.decode(uid)

dec.timestamp_ms    # Unix ms when it was generated
dec.generated_at    # ISO-8601 UTC string, e.g. '2025-03-15T10:22:01.123Z'
dec.datacenter_id   # 3
dec.machine_id      # 12
dec.sequence        # 0

---

Thread safety

SnowflakeGenerator is thread-safe — a single instance can be shared across any number of threads.

import threading
from flakeid import make_generator, PRESET_TWITTER

gen = make_generator(PRESET_TWITTER, machine_id=1)

def worker():
    for _ in range(10_000):
        uid = gen.next_id()
        save(uid)

threads = [threading.Thread(target=worker) for _ in range(16)]
for t in threads: t.start()
for t in threads: t.join()
# All 160,000 IDs are guaranteed unique

---

Error handling

from flakeid import ClockBackwardsError, TimestampOverflowError, EpochError

try:
    uid = gen.next_id()
except ClockBackwardsError:
    # System clock jumped backwards by > 10 ms — check NTP
    ...
except TimestampOverflowError:
    # timestamp bits exhausted — increase timestamp_bits or update epoch_ms
    ...
except EpochError:
    # epoch_ms is in the future relative to current time
    ...

---

API reference

flakeid.next_id() → int

Module-level shortcut. Zero-config unique ID.

flakeid.next_ids(count) → list[int]

Module-level shortcut for bulk generation.

make_generator(preset=None, **overrides) → SnowflakeGenerator

Build a generator from a preset dict/name plus optional overrides.

make_generator_from_env(preset=None, *, datacenter_env, machine_env, epoch_env, **overrides) → SnowflakeGenerator

Build a generator whose node IDs come from environment variables.

SnowflakeGenerator

Method	Description
next_id()	One unique ID
next_ids(count)	Many unique IDs, single lock
stream()	Infinite iterator
decode(uid)	Decompose an ID → DecodedID
capacity()	Limits of this config → Capacity

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Publishing to PyPI

# 1. Install the package + dev test deps (src/ layout) and build tools
pip install -e ".[dev]" hatch twine

# 2. Run the tests
pytest

# 3. Build distributions
hatch build        # creates dist/flakeid-0.1.0.tar.gz and .whl

# 4. Upload to PyPI
twine upload dist/*
# Enter your PyPI username/password or API token when prompted.

# 5. Users can now install with:
# pip install flakeid

For a test run first, upload to TestPyPI:

twine upload --repository testpypi dist/*
pip install --index-url https://test.pypi.org/simple/ flakeid

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License

MIT