Mokkari
A python wrapper for the Metron Comic Book Database API.
Installation
pip install mokkari
Authentication
Mokkari supports two authentication methods:
import mokkari
# Token authentication (generate a token from your metron.cloud account page)
m = mokkari.api(api_token="your-api-token")
# Username/password (Basic Auth)
m = mokkari.api(username, password)
Example Usage
import mokkari
# Your own config file to keep your credentials secret
from config import username, password
m = mokkari.api(username, password)
# Get all Marvel comics for the week of 2021-06-07
this_week = m.issues_list(
{
"store_date_range_after": "2021-06-07",
"store_date_range_before": "2021-06-13",
"publisher_name": "marvel",
}
)
# Print the results
for i in this_week:
print(f"{i.id} {i.issue_name}")
# Retrieve the detail for an individual issue
asm_68 = m.issue(31660)
# Print the issue Description
print(asm_68.desc)
Rate Limiting
The API has a fixed limit of 20 requests per minute, plus a daily limit that
starts at 5,000 requests and is raised for
OpenCollective donors (up to 25,000/day).
Because the daily limit varies per user, mokkari doesn't hardcode it — it reads
the X-RateLimit-* headers Metron returns with every response and pre-empts a
request once those headers show a window is exhausted, avoiding an HTTP call
that would fail anyway. When a rate limit is exceeded, a RateLimitError is
raised.
The most recently observed state is available via session.rate_limit_status:
status = m.rate_limit_status
print(f"Sustained remaining: {status.sustained.remaining}/{status.sustained.limit}")
Handling Rate Limits
The RateLimitError includes a retry_after attribute that tells you exactly
how many seconds to wait before making another request:
import mokkari
from mokkari.exceptions import RateLimitError
import time
m = mokkari.api(username, password)
try:
issue = m.issue(31660)
except RateLimitError as e:
# Display user-friendly message
print(f"Rate limited: {e}")
# Programmatically wait for the exact time needed
print(f"Waiting {e.retry_after} seconds...")
time.sleep(e.retry_after)
# Retry the request
issue = m.issue(31660)
Thread Safety
A Session can be shared across threads, but the rate-limit check above is
advisory rather than a hard gate: it only blocks once the last known response
headers show a window is exhausted, and that check isn't synchronized with
sending the request. Concurrent threads can therefore each pass the check and
send their requests before either response updates rate_limit_status, letting
a burst of threads momentarily exceed the per-minute limit (Metron's server-side
limit still applies and will reject the excess requests).
If you're calling a shared Session from multiple threads, cap your own
concurrency instead of relying on Session to do it for you, e.g. keep a
ThreadPoolExecutor at or below the burst limit:
from concurrent.futures import ThreadPoolExecutor
m = mokkari.api(username, password)
# Keep worker count at or below the burst limit (20/min) to avoid racing
# past the local rate-limit check.
with ThreadPoolExecutor(max_workers=20) as executor:
issues = list(executor.map(m.issue, issue_ids))
Documentation
Read the project documentation
Bugs/Requests
Please use the GitHub issue tracker to submit bugs or request features.
1 maintainer
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