imgcache-client
Python client for the imgcache REST API — a centralized image cache with perceptual hashing and duplicate detection.
Installation
Install directly from the local package:
pip install ./client
Or add it to a requirements.txt:
dwilson-imgcache-client>=0.2.0
Requires: Python 3.11+, httpx>=0.27.0
Quick start
from imgcache_client import ImgCacheClient
client = ImgCacheClient("http://localhost:8010")
# Store an image
with open("photo.jpg", "rb") as f:
entry = client.store(url="https://example.com/photo.jpg", file_bytes=f.read(), client_name="my_scraper")
print(entry["content_hash"]) # BLAKE2b hash / storage key
print(entry["perceptual_hash"]) # pHash for similarity search
# Retrieve raw bytes
img_bytes = client.get_bytes(entry["content_hash"])
# Retrieve metadata only
meta = client.get_meta(entry["content_hash"])
# Look up by source URL
meta = client.lookup("https://example.com/photo.jpg")
# Search by URL substring
results = client.search(url_contains="example.com")
# Find visually similar images
similar = client.similar(perceptual_hash=entry["perceptual_hash"], max_hamming_distance=4)
# Delete
client.delete(entry["content_hash"])
client.close() # or use as a context manager (see below)
Use as a context manager to close the HTTP connection automatically:
with ImgCacheClient("http://localhost:8010") as client:
entry = client.store(url=url, file_bytes=img_bytes, client_name="my_scraper")
API reference
ImgCacheClient(base_url, timeout=30.0)
| Parameter | Type | Description |
|---|---|---|
base_url |
str |
Base URL of the imgcache service, e.g. http://localhost:8010 |
timeout |
float |
Request timeout in seconds (default 30.0) |
store(url, file_bytes, client_name, lookup_time=None, filename=None) → dict
Store an image in the cache.
| Parameter | Type | Description |
|---|---|---|
url |
str |
Source URL of the image |
file_bytes |
bytes |
Raw binary image data |
client_name |
str |
Identifier for the scraper submitting the image |
lookup_time |
datetime (optional) |
When the image was fetched from origin; defaults to utcnow() |
filename |
str (optional) |
Original filename hint (used for Content-Type detection) |
Returns the full entry metadata dict. HTTP 201 means newly stored; HTTP 200 means an identical image already existed.
get_bytes(content_hash) → bytes
Download the raw binary content of a stored image by its BLAKE2b content hash.
get_meta(content_hash) → dict | None
Retrieve metadata for a stored image without downloading the binary. Returns None if not found.
lookup(url) → dict | None
Retrieve metadata for the most recent cached entry matching an exact source URL. Returns None if not found.
search(url_contains) → list[dict]
Return metadata for all cached entries whose source URL contains the given substring. Useful for finding all cached variants of a URL.
# Matches https://example.com/products/img1.jpg, /img2.jpg, etc.
results = client.search(url_contains="example.com/products")
for entry in results:
print(entry["url"], entry["content_hash"])
similar(perceptual_hash, max_hamming_distance=4) → list[dict]
Find visually similar images by comparing perceptual hashes. max_hamming_distance controls how strict the match is — lower values mean more similar results.
similar = client.similar(perceptual_hash="f8c0e0e0f0e0c080", max_hamming_distance=4)
delete(content_hash) → None
Delete a cached image and its associated storage file by content hash.
health() → dict
Check that the service is reachable. Returns {"status": "ok"} when healthy.
close() → None
Close the underlying HTTP connection. Called automatically when used as a context manager.
Entry schema
Fields returned by store, get_meta, lookup, search, and similar:
| Field | Type | Description |
|---|---|---|
url |
str |
Source URL the image was fetched from |
content_hash |
str |
BLAKE2b hash of the raw image bytes (storage key) |
content_type |
str |
MIME type, e.g. image/jpeg |
file_size_bytes |
int |
Size of the stored image in bytes |
original_filename |
str | null |
Filename hint supplied at store time |
width |
int | null |
Image width in pixels |
height |
int | null |
Image height in pixels |
perceptual_hash |
str | null |
pHash for similarity comparisons |
client_name |
str |
Scraper that submitted the entry |
lookup_time |
str (ISO 8601) |
When the image was fetched from origin |
created_at |
str (ISO 8601) |
When the entry was stored in the cache |
get_bytes returns raw bytes rather than a metadata dict.
Metadata
Release files for dwilson-imgcache-client 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| dwilson_imgcache_client-0.3.0.tar.gz | 3.7 kB | Without provenance | Details for dwilson_imgcache_client-0.3.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dwilson_imgcache_client-0.3.0-py3-none-any.whl | Python 3 | none | any | Details for dwilson_imgcache_client-0.3.0-py3-none-any.whl |
Total release size: 7.6 kB
Release files / dwilson_imgcache_client-0.3.0.tar.gz
| Download URL | dwilson_imgcache_client-0.3.0.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4f882c6e386167fcd8dd447c3a082a5c75a2d3aaf90a327948964a212f39031d
|
|
BLAKE2b-256 checksum How to use checksums |
1ed89ad108307a67277bd393b902666f89ae61f9441a72bc1e8aa255284a46f0
|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Release files / dwilson_imgcache_client-0.3.0-py3-none-any.whl
| Download URL | dwilson_imgcache_client-0.3.0-py3-none-any.whl |
|---|---|
| Size | 3.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ce74ae0f2c13724ab0fdaf58932261ee40d978bd25ff096f21af16a4dfa7a0c3
|
|
BLAKE2b-256 checksum How to use checksums |
96a6ee421153a3ba10c10f7ea9a1621e097d1634293ef1a239185ffadbf8060b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
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