pyhaul 0.2.0

Resumable, cursor-based, CDN-safe HTTP downloads for Python

pyhaul

Resumable HTTP downloads for Python.

pip install pyhaul[requests]   # or: pyhaul[httpx], pyhaul[niquests], pyhaul[urllib3]

import requests
from pyhaul import haul

with requests.Session() as session:
    result = haul("https://example.com/big.zip", session, dest="big.zip")
    print(f"done: sha256={result.sha256[:16]}…")

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What is it?

A small, pure-Python library that makes HTTP downloads resumable. Call haul() with your existing HTTP client, a URL, and a destination path — it handles byte-range negotiation, ETag validation, crash-safe checkpointing, and atomic file completion. Sync and async; works with requests, httpx, niquests, and urllib3.

Each call to haul() upholds these guarantees:

• The destination file is either complete or absent. There is no state where a partially-written file sits at the final path. Incomplete data lives in a temporary .part file; on completion it is atomically moved into place.
• Interrupted downloads resume, not restart. Checkpoint state lives on disk, not in memory. Kill the process, lose the network, get a 503 — the next haul() picks up from the last durable byte. Zero re-downloaded data if the resource hasn't changed.
• Changed resources are detected, not silently corrupted. If the remote file changes between attempts, pyhaul detects the mismatch via ETag (a server-side fingerprint) and starts over cleanly instead of gluing mismatched halves together.
• Your HTTP client is borrowed, not owned. pyhaul sets per-request headers and returns the session untouched. It never creates, configures, or closes sessions.
• Transport errors pass through unwrapped. httpx.ReadTimeout stays httpx.ReadTimeout. You catch the types you already know.

How it fits into your code

One haul() = one HTTP request. It either succeeds and returns CompleteHaul, or it throws — possibly after saving progress to a .part file that allows the next call to resume. pyhaul never creates sessions, connections, or clients. Your HTTP library's native exceptions propagate through unwrapped, so you can drop haul() into existing code without changing your error handling. Retries are your call — a for-loop, tenacity, or nothing. Concurrency limiting (e.g. asyncio.Semaphore) is also yours — pyhaul downloads one file per call and doesn't manage parallelism.

def haul(url, client, *, dest, state=None) -> CompleteHaul: ...
async def haul_async(url, client, *, dest, state=None) -> CompleteHaul: ...

state is an optional HaulState bag, updated in-place as bytes land on disk — works identically in sync and async. See DESIGN.md for the exception hierarchy, transport adapters, and download lifecycle.