mirror of
https://github.com/User0332/rewards-farmer.git
synced 2026-09-16 01:31:36 +00:00
merge upstream: the random image downloader
Both sides added a line after *.txt in .gitignore, so keep both: *.log from the logging change here and visual_search.json from upstream.
This commit is contained in:
Ethan Stoner
@@ -2,6 +2,7 @@
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*.jpg
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*.txt
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*.log
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visual_search.json
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!nouns.txt
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Todo.md
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data-dir/
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@@ -37,7 +37,7 @@ $env:QUERY_SOURCE="trends"; python src/main.py # PowerShell
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You should also have an Ollama account created (for the LLM), the `ollama` tool installed, and you should have signed in to the Ollama CLI via the command line using `ollama signin`. This project will use a minimal amount of Ollama cloud usage using `gemma4:cloud`. If you wish to use a different model, please change the `model` parameter in the `get_ollama_response` function in `src/llm_utils.py`.
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You must also provide an image for the script to upload to complete the visual search task. Currently, this image is named `visual_search.jpg` and is located in the root directory of the project. You may provide an image of your own, just ensure that the absolute path of the image is placed in the `VISUAL_SEARCH_IMAGE_PATH` constant at the top of `rewards_tasks.py`.
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You must also provide an image for the script to upload to complete the visual search task. A helper script is included at `src/random_image_for_visual_search.py` that will download an image from Wikipedia named `visual_search.jpg` into the project root for you. You may also provide an image of your own, just ensure that the absolute path of the image is placed in the `VISUAL_SEARCH_IMAGE_PATH` constant at the top of `rewards_tasks.py`.
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Activate the virtual environment & install dependencies (you may have to use `python -m poetry` instead of `poetry`).
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You must have Python 3.12+ and Poetry installed.
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Generated
+205
-1
@@ -169,6 +169,188 @@ files = [
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[package.dependencies]
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pycparser = {version = "*", markers = "implementation_name != \"PyPy\""}
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[[package]]
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name = "charset-normalizer"
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version = "3.5.1"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = false
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python-versions = ">=3.7"
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groups = ["main"]
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files = [
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{file = "charset_normalizer-3.5.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1ee1e296209fdce05b81b663250eefa02213a2da7b41bf26f7829b8ba3545aa"},
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{file = "charset_normalizer-3.5.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e9fbdce1e47394b09bc9f26ab117dfc8d6491977a11d86f592bb42c779db2fda"},
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{file = "charset_normalizer-3.5.1-cp310-cp310-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:00668ebb0609751758682eb0b5857e7c35b9f00e84dfdef062e103244ec94d45"},
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{file = "charset_normalizer-3.5.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:494b70049a4d69aec6e8137c13af4cf8db8c9f9820a1392ac293b0dd2987a818"},
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{file = "charset_normalizer-3.5.1-cp310-cp310-win32.whl", hash = "sha256:94fbf1c0c6cc0d3d5e50f9a9313a8cdca90dd696d34b381cd1704f8c9e939f20"},
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{file = "charset_normalizer-3.5.1-cp310-cp310-win_amd64.whl", hash = "sha256:be47f99644b208bff7766314013f9acf57b056b04191d570d68ad14022cf5b1d"},
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{file = "charset_normalizer-3.5.1-cp310-cp310-win_arm64.whl", hash = "sha256:a6d095662e73e74f0a49988e0593373e243e3a52e27bfeea0a859e88acf4a0f5"},
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{file = "charset_normalizer-3.5.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:eda059b6bc8bc0812d626fd91a7ce01bf583df0a61296eff390fd94141a34e30"},
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{file = "charset_normalizer-3.5.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:aa2bb0b37202dca27175591f761108b5d34096ade1191ffe4808bdf6b1571488"},
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{file = "charset_normalizer-3.5.1-cp311-cp311-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:0b2b1b3fa5670c127b246df1d0c059defd41f689a868a3b9d79df9b1cac42d22"},
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{file = "charset_normalizer-3.5.1-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:6e5e4d73d588ca5ed09df1b7dcd1b203d1df3c542e3f50d126c947d432b10731"},
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{file = "charset_normalizer-3.5.1-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:b54e7e13267d49ffbfe68e25b3cbd774dab38fa37238f71265e91b36146eb21c"},
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{file = "charset_normalizer-3.5.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c7b742bf31c88566b4bb6335a7f393bb322e580b6bb98df7bd0c25e6e3519ce8"},
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{file = "charset_normalizer-3.5.1-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:6ba32c4d2abf1d2fe7cf27d280f4cca5664233b0f885549c7761719eb977f486"},
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{file = "charset_normalizer-3.5.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:0722590aabf9dc6a6c0343d523c05458fa2b5047dbe6302fd526bb570600753f"},
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{file = "charset_normalizer-3.5.1-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:aa1099b956fb795e686d073568f6dc002a0bb89765ea6d5b055dd7d9bf1b116c"},
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{file = "charset_normalizer-3.5.1-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:f298e218441525d3794428b4c8b8fb8662c6d3ea79925d4807ee6b9a96a3bca5"},
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|
||||
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|
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
{file = "charset_normalizer-3.5.1-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:994e883d17c559cdfd38c84003c8b27d25424a1077272a17e7cd27bfe0bf57b2"},
|
||||
{file = "charset_normalizer-3.5.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:789b8982559ae28dad2356519f841655756cdcd96616410590ae0b17454ee64f"},
|
||||
{file = "charset_normalizer-3.5.1-cp39-cp39-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:a951ad59cad9145664a730d3036b40b844e74d2d3683da40111463cd3a83845d"},
|
||||
{file = "charset_normalizer-3.5.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:55261ac0d2941c42f196dd576f543d87a8ee03cd6f5e30dfb4d807b2e3b9121a"},
|
||||
{file = "charset_normalizer-3.5.1-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:5ca0555312ae2fe82715cada7fac375530c2f3349e1eaa1bcb33d0283ac79a18"},
|
||||
{file = "charset_normalizer-3.5.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:2e9cf9253119d8e5d111f05d71626786fd3d6193817316eab1ca088cdb8593cf"},
|
||||
{file = "charset_normalizer-3.5.1-cp39-cp39-musllinux_1_2_riscv64.whl", hash = "sha256:433c5a81eade63b47e522303bad236f59dba55ea6951746f5558355eeed8c75d"},
|
||||
{file = "charset_normalizer-3.5.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:13e3afe97712e8887cd516e960c63f0b93122971e5b5e4b2622fe7701771e838"},
|
||||
{file = "charset_normalizer-3.5.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:eb12fb2ba69ffa05f8695f61c69e591dc4b4a12ac3757ac8af8adb259bf56d17"},
|
||||
{file = "charset_normalizer-3.5.1-cp39-cp39-win32.whl", hash = "sha256:56490c595a28b1bb27dfc583e816152a9767721ef58b2c03b13f954d2f707420"},
|
||||
{file = "charset_normalizer-3.5.1-cp39-cp39-win_amd64.whl", hash = "sha256:012a22b88a77ca2e59b98ac5889b0deb604147666032f45e6d6e217634d2550d"},
|
||||
{file = "charset_normalizer-3.5.1-cp39-cp39-win_arm64.whl", hash = "sha256:29880d17a8eb0b5cfdfd8944b468322928059aa35f1f5fa8ff22b149ec0b42f8"},
|
||||
{file = "charset_normalizer-3.5.1-py3-none-any.whl", hash = "sha256:6df0ec430f9a831772c23ca5a224cba36517a58a84bb32c32bb59a9fa67c47f6"},
|
||||
{file = "charset_normalizer-3.5.1.tar.gz", hash = "sha256:6117b84ea48435e5356dc737f5121485c30920ba43375fa7b434fd753df0eac3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "contourpy"
|
||||
version = "1.3.3"
|
||||
@@ -4869,6 +5051,28 @@ files = [
|
||||
[package.dependencies]
|
||||
six = ">=1.5"
|
||||
|
||||
[[package]]
|
||||
name = "requests"
|
||||
version = "2.34.2"
|
||||
description = "Python HTTP for Humans."
|
||||
optional = false
|
||||
python-versions = ">=3.10"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "requests-2.34.2-py3-none-any.whl", hash = "sha256:2a0d60c172f83ac6ab31e4554906c0f3b3588d37b5cb939b1c061f4907e278e0"},
|
||||
{file = "requests-2.34.2.tar.gz", hash = "sha256:f288924cae4e29463698d6d60bc6a4da69c89185ad1e0bcc4104f584e960b9ed"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
certifi = ">=2023.5.7"
|
||||
charset_normalizer = ">=2,<4"
|
||||
idna = ">=2.5,<4"
|
||||
urllib3 = ">=1.26,<3"
|
||||
|
||||
[package.extras]
|
||||
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
|
||||
use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"]
|
||||
|
||||
[[package]]
|
||||
name = "selenium"
|
||||
version = "4.46.0"
|
||||
@@ -5045,4 +5249,4 @@ h11 = ">=0.16.0,<1"
|
||||
[metadata]
|
||||
lock-version = "2.1"
|
||||
python-versions = ">=3.12"
|
||||
content-hash = "fd4eaf67a2a0849a8ce66dfd1ac2be20276da3d8a1454ef9d991214912a51d61"
|
||||
content-hash = "6f6874b55cb994ba31fcb815e7f2680cd49498becf9823594dc08ab3c6bbbcbf"
|
||||
|
||||
+3
-1
@@ -13,7 +13,9 @@ dependencies = [
|
||||
"pygetwindow (>=0.0.9,<0.0.10)",
|
||||
"keyboard (>=0.13.5,<0.14.0)",
|
||||
"pygame-ce (>=2.5.8,<3.0.0)",
|
||||
"ollama (>=0.6.2,<0.7.0)"
|
||||
"ollama (>=0.6.2,<0.7.0)",
|
||||
"requests>=2.32.0",
|
||||
"pillow>=11.0.0"
|
||||
]
|
||||
|
||||
|
||||
|
||||
@@ -0,0 +1,512 @@
|
||||
import io
|
||||
import json
|
||||
import time
|
||||
from pathlib import Path
|
||||
from urllib.parse import urlsplit, urlunsplit
|
||||
|
||||
import requests
|
||||
from PIL import Image
|
||||
|
||||
|
||||
# ============================================================
|
||||
# CONFIG
|
||||
# ============================================================
|
||||
|
||||
API_URL = "https://commons.wikimedia.org/w/api.php"
|
||||
|
||||
OUTPUT_FILE = Path("visual_search.jpg")
|
||||
METADATA_FILE = Path("visual_search.json")
|
||||
|
||||
MAX_ATTEMPTS = 10
|
||||
|
||||
# Loose filtering
|
||||
MIN_WIDTH = 300
|
||||
MIN_HEIGHT = 300
|
||||
|
||||
# Maximum original file size we'll accept
|
||||
MAX_FILE_SIZE = 20 * 1024 * 1024 # 20 MB
|
||||
|
||||
# Wikimedia will generate a thumbnail around this width
|
||||
THUMBNAIL_WIDTH = 1280
|
||||
|
||||
# Normal delay between failed attempts
|
||||
REQUEST_DELAY = 3
|
||||
|
||||
# Maximum rate-limit wait
|
||||
MAX_BACKOFF = 300
|
||||
|
||||
|
||||
# ============================================================
|
||||
# HTTP SESSION
|
||||
# ============================================================
|
||||
|
||||
session = requests.Session()
|
||||
|
||||
session.headers.update({
|
||||
"User-Agent": (
|
||||
"RandomVisualSearchImage/1.1 "
|
||||
"(contact: 12345rfdz@gmail.com)"
|
||||
)
|
||||
})
|
||||
|
||||
|
||||
# ============================================================
|
||||
# URL HELPERS
|
||||
# ============================================================
|
||||
|
||||
def clean_url(url):
|
||||
"""Remove query parameters from Wikimedia URLs."""
|
||||
|
||||
parts = urlsplit(url)
|
||||
|
||||
return urlunsplit((
|
||||
parts.scheme,
|
||||
parts.netloc,
|
||||
parts.path,
|
||||
"",
|
||||
"",
|
||||
))
|
||||
|
||||
|
||||
# ============================================================
|
||||
# RATE LIMIT HANDLING
|
||||
# ============================================================
|
||||
|
||||
def wait_after_429(response, attempt):
|
||||
"""Wait according to Wikimedia's Retry-After header."""
|
||||
|
||||
retry_after = response.headers.get("Retry-After")
|
||||
|
||||
if retry_after:
|
||||
try:
|
||||
wait_time = int(retry_after)
|
||||
except ValueError:
|
||||
wait_time = min(
|
||||
2 ** attempt,
|
||||
MAX_BACKOFF,
|
||||
)
|
||||
else:
|
||||
wait_time = min(
|
||||
2 ** attempt,
|
||||
MAX_BACKOFF,
|
||||
)
|
||||
|
||||
wait_time = max(5, wait_time)
|
||||
|
||||
print(
|
||||
f"Rate limited. Waiting "
|
||||
f"{wait_time} seconds..."
|
||||
)
|
||||
|
||||
time.sleep(wait_time)
|
||||
|
||||
|
||||
# ============================================================
|
||||
# DOWNLOAD
|
||||
# ============================================================
|
||||
|
||||
def download_image(url):
|
||||
"""Download image bytes from Wikimedia."""
|
||||
|
||||
url = clean_url(url)
|
||||
|
||||
try:
|
||||
response = session.get(
|
||||
url,
|
||||
timeout=30,
|
||||
allow_redirects=True,
|
||||
)
|
||||
|
||||
except requests.RequestException as e:
|
||||
print(f"Download failed: {e}")
|
||||
return None
|
||||
|
||||
if response.status_code == 429:
|
||||
wait_after_429(response, 1)
|
||||
return None
|
||||
|
||||
if response.status_code == 403:
|
||||
print("Wikimedia returned 403 Forbidden.")
|
||||
return None
|
||||
|
||||
try:
|
||||
response.raise_for_status()
|
||||
except requests.RequestException as e:
|
||||
print(f"HTTP error: {e}")
|
||||
return None
|
||||
|
||||
content_type = response.headers.get(
|
||||
"Content-Type",
|
||||
"",
|
||||
).lower()
|
||||
|
||||
if not content_type.startswith("image/"):
|
||||
print(
|
||||
f"Not an image: {content_type}"
|
||||
)
|
||||
return None
|
||||
|
||||
if not response.content:
|
||||
print("Downloaded image is empty.")
|
||||
return None
|
||||
|
||||
return response.content
|
||||
|
||||
|
||||
# ============================================================
|
||||
# JPEG CONVERSION
|
||||
# ============================================================
|
||||
|
||||
def convert_to_jpeg(image_data):
|
||||
"""Convert downloaded image bytes to JPEG."""
|
||||
|
||||
try:
|
||||
with Image.open(
|
||||
io.BytesIO(image_data)
|
||||
) as image:
|
||||
|
||||
# JPEG does not support alpha (transparency).
|
||||
# If the image has transparency (RGBA or LA), paste it over a white background.
|
||||
if image.mode in ("RGBA", "LA") or (image.mode == "P" and "transparency" in image.info):
|
||||
background = Image.new("RGB", image.size, (255, 255, 255))
|
||||
if image.mode == "P":
|
||||
image = image.convert("RGBA")
|
||||
background.paste(image, mask=image.split()[-1])
|
||||
jpeg_image = background
|
||||
else:
|
||||
jpeg_image = image.convert("RGB")
|
||||
|
||||
output = io.BytesIO()
|
||||
|
||||
jpeg_image.save(
|
||||
output,
|
||||
format="JPEG",
|
||||
quality=90,
|
||||
optimize=True,
|
||||
)
|
||||
|
||||
return output.getvalue()
|
||||
|
||||
except Exception as e:
|
||||
print(
|
||||
f"JPEG conversion failed: {e}"
|
||||
)
|
||||
return None
|
||||
|
||||
|
||||
# ============================================================
|
||||
# RANDOM IMAGE
|
||||
# ============================================================
|
||||
|
||||
def get_random_image():
|
||||
|
||||
for attempt in range(
|
||||
1,
|
||||
MAX_ATTEMPTS + 1,
|
||||
):
|
||||
|
||||
if attempt > 1:
|
||||
time.sleep(REQUEST_DELAY)
|
||||
|
||||
print(
|
||||
f"\nAttempt "
|
||||
f"{attempt}/{MAX_ATTEMPTS}"
|
||||
)
|
||||
|
||||
# ----------------------------------------------------
|
||||
# RANDOM FILE
|
||||
# ----------------------------------------------------
|
||||
|
||||
params = {
|
||||
"action": "query",
|
||||
"format": "json",
|
||||
|
||||
"generator": "random",
|
||||
"grnnamespace": 6,
|
||||
"grnlimit": 1,
|
||||
|
||||
"prop": "imageinfo",
|
||||
|
||||
"iiprop": (
|
||||
"url|size|mime|dimensions"
|
||||
),
|
||||
|
||||
"iiurlwidth": THUMBNAIL_WIDTH,
|
||||
}
|
||||
|
||||
try:
|
||||
response = session.get(
|
||||
API_URL,
|
||||
params=params,
|
||||
timeout=20,
|
||||
)
|
||||
|
||||
except requests.RequestException as e:
|
||||
print(f"API request failed: {e}")
|
||||
continue
|
||||
|
||||
# ----------------------------------------------------
|
||||
# API RATE LIMIT
|
||||
# ----------------------------------------------------
|
||||
|
||||
if response.status_code == 429:
|
||||
wait_after_429(
|
||||
response,
|
||||
attempt,
|
||||
)
|
||||
continue
|
||||
|
||||
try:
|
||||
response.raise_for_status()
|
||||
data = response.json()
|
||||
|
||||
except (
|
||||
requests.RequestException,
|
||||
ValueError,
|
||||
) as e:
|
||||
print(f"API error: {e}")
|
||||
continue
|
||||
|
||||
# ----------------------------------------------------
|
||||
# GET PAGE
|
||||
# ----------------------------------------------------
|
||||
|
||||
pages = (
|
||||
data
|
||||
.get("query", {})
|
||||
.get("pages", {})
|
||||
)
|
||||
|
||||
if not pages:
|
||||
print("No page returned.")
|
||||
continue
|
||||
|
||||
page = next(
|
||||
iter(pages.values())
|
||||
)
|
||||
|
||||
title = page.get(
|
||||
"title",
|
||||
"Unknown",
|
||||
)
|
||||
|
||||
imageinfo = page.get(
|
||||
"imageinfo"
|
||||
)
|
||||
|
||||
if not imageinfo:
|
||||
print(
|
||||
"No image information."
|
||||
)
|
||||
continue
|
||||
|
||||
info = imageinfo[0]
|
||||
|
||||
mime = info.get(
|
||||
"mime",
|
||||
"",
|
||||
)
|
||||
|
||||
width = info.get(
|
||||
"width",
|
||||
0,
|
||||
)
|
||||
|
||||
height = info.get(
|
||||
"height",
|
||||
0,
|
||||
)
|
||||
|
||||
size = info.get(
|
||||
"size",
|
||||
0,
|
||||
)
|
||||
|
||||
thumbnail_url = info.get(
|
||||
"thumburl"
|
||||
)
|
||||
|
||||
original_url = info.get(
|
||||
"url"
|
||||
)
|
||||
|
||||
# ----------------------------------------------------
|
||||
# FILTER
|
||||
# ----------------------------------------------------
|
||||
|
||||
if mime not in {
|
||||
"image/jpeg",
|
||||
"image/png",
|
||||
"image/webp",
|
||||
}:
|
||||
print(
|
||||
f"Skipping unsupported type: "
|
||||
f"{mime}"
|
||||
)
|
||||
continue
|
||||
|
||||
if width < MIN_WIDTH or height < MIN_HEIGHT:
|
||||
print(
|
||||
f"Skipping small image: "
|
||||
f"{width}x{height}"
|
||||
)
|
||||
continue
|
||||
|
||||
if size > MAX_FILE_SIZE:
|
||||
print(
|
||||
f"Skipping large image: "
|
||||
f"{size / 1024 / 1024:.1f} MB"
|
||||
)
|
||||
continue
|
||||
|
||||
if not thumbnail_url:
|
||||
print("No thumbnail URL.")
|
||||
continue
|
||||
|
||||
# ----------------------------------------------------
|
||||
# FOUND
|
||||
# ----------------------------------------------------
|
||||
|
||||
print(f"Found: {title}")
|
||||
print(
|
||||
f"Size: {width}x{height}"
|
||||
)
|
||||
|
||||
# ----------------------------------------------------
|
||||
# DOWNLOAD THUMBNAIL
|
||||
# ----------------------------------------------------
|
||||
|
||||
image_data = download_image(
|
||||
thumbnail_url
|
||||
)
|
||||
|
||||
# ----------------------------------------------------
|
||||
# FALLBACK TO ORIGINAL
|
||||
# ----------------------------------------------------
|
||||
|
||||
if image_data is None and original_url:
|
||||
print(
|
||||
"Trying original..."
|
||||
)
|
||||
|
||||
image_data = download_image(
|
||||
original_url
|
||||
)
|
||||
|
||||
if image_data is None:
|
||||
print(
|
||||
"Couldn't download image."
|
||||
)
|
||||
continue
|
||||
|
||||
# ----------------------------------------------------
|
||||
# CONVERT TO JPEG
|
||||
# ----------------------------------------------------
|
||||
|
||||
print("Converting to JPEG...")
|
||||
|
||||
jpeg_data = convert_to_jpeg(
|
||||
image_data
|
||||
)
|
||||
|
||||
if jpeg_data is None:
|
||||
continue
|
||||
|
||||
# ----------------------------------------------------
|
||||
# SAVE JPEG
|
||||
# ----------------------------------------------------
|
||||
|
||||
try:
|
||||
OUTPUT_FILE.write_bytes(
|
||||
jpeg_data
|
||||
)
|
||||
|
||||
except OSError as e:
|
||||
print(
|
||||
f"Couldn't save image: {e}"
|
||||
)
|
||||
continue
|
||||
|
||||
# ----------------------------------------------------
|
||||
# SAVE METADATA
|
||||
# ----------------------------------------------------
|
||||
|
||||
metadata = {
|
||||
"title": title,
|
||||
"source": "Wikimedia Commons",
|
||||
"output_format": "JPEG",
|
||||
|
||||
"width": width,
|
||||
"height": height,
|
||||
|
||||
"original_mime": mime,
|
||||
|
||||
"original_size": size,
|
||||
|
||||
"jpeg_size": len(
|
||||
jpeg_data
|
||||
),
|
||||
|
||||
"original_url": (
|
||||
clean_url(original_url)
|
||||
if original_url
|
||||
else None
|
||||
),
|
||||
|
||||
"thumbnail_url": (
|
||||
clean_url(thumbnail_url)
|
||||
if thumbnail_url
|
||||
else None
|
||||
),
|
||||
}
|
||||
|
||||
try:
|
||||
METADATA_FILE.write_text(
|
||||
json.dumps(
|
||||
metadata,
|
||||
indent=4,
|
||||
ensure_ascii=False,
|
||||
),
|
||||
encoding="utf-8",
|
||||
)
|
||||
|
||||
except OSError as e:
|
||||
print(
|
||||
f"Warning: couldn't save "
|
||||
f"metadata: {e}"
|
||||
)
|
||||
|
||||
# ----------------------------------------------------
|
||||
# DONE
|
||||
# ----------------------------------------------------
|
||||
|
||||
print()
|
||||
print("=" * 50)
|
||||
print("SUCCESS")
|
||||
print("=" * 50)
|
||||
print(
|
||||
f"Image: "
|
||||
f"{OUTPUT_FILE.absolute()}"
|
||||
)
|
||||
print(
|
||||
f"Size: "
|
||||
f"{len(jpeg_data) / 1024:.1f} KB"
|
||||
)
|
||||
print(
|
||||
f"Source: {title}"
|
||||
)
|
||||
|
||||
return metadata
|
||||
|
||||
raise RuntimeError(
|
||||
"Unable to obtain a suitable "
|
||||
"Wikimedia image."
|
||||
)
|
||||
|
||||
|
||||
# ============================================================
|
||||
# MAIN
|
||||
# ============================================================
|
||||
|
||||
if __name__ == "__main__":
|
||||
get_random_image()
|
||||
Reference in New Issue
Block a user