David UandClaude Opus 5.5 65a7bfb7f9 Fix "Aggregate Report Details" Grafana panel timing out on PostgreSQL (#923)
PostgreSQL does not create an index on the referencing side of a foreign
key (docs, "Foreign Keys"), and create_tables() indexed only two of the
schema's seven foreign-key columns. The panel's per-record DKIM/SPF
subqueries on record_id therefore ran two sequential scans per row and
timed out on a 413k-record database.

Index the five remaining foreign-key columns, and add a test that every
REFERENCES column in the schema has an index.

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-22 18:13:06 -04:00
2018-02-05 20:23:07 -05:00
2026-03-09 18:24:16 -04:00

parsedmarc

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A screenshot of DMARC summary charts in Kibana

parsedmarc is a Python module and CLI utility for parsing DMARC reports. When used with Elasticsearch and Kibana (or Splunk), or with OpenSearch and Grafana, it works as a self-hosted open-source alternative to commercial DMARC report processing services such as Agari Brand Protection, Dmarcian, OnDMARC, ProofPoint Email Fraud Defense, and Valimail.

Note

Domain-based Message Authentication, Reporting, and Conformance (DMARC) is an email authentication protocol.

Sponsors

This project is maintained by one developer. Please consider sponsoring my work if you or your organization benefit from it.

Features

  • Parses aggregate/rua DMARC reports: the legacy draft and 1.0 schemas (RFC 7489) and the new RFC 9990 schema for the final DMARC standard (RFC 9989)
  • Parses failure/ruf DMARC reports (RFC 6591 and RFC 9991; formerly called forensic reports)
  • Parses reports from SMTP TLS Reporting (TLS-RPT, RFC 8460)
  • Can parse reports from an inbox over IMAP, Microsoft Graph, or Gmail API
  • Transparently handles gzip or zip compressed reports
  • Consistent data structures
  • Simple JSON and/or CSV output
  • Optionally email the results
  • Optionally send the results to Elasticsearch, OpenSearch, Splunk, or PostgreSQL, for use with premade dashboards
  • Optionally send the results to Apache Kafka, Amazon S3, Azure Log Analytics (Microsoft Sentinel), a Graylog (GELF) endpoint, a syslog server, or an HTTP webhook

Python Compatibility

This project supports the following Python versions, which are either actively maintained or are the default versions for RHEL or Debian.

Version Supported Reason
< 3.6 ❌ End of Life (EOL)
3.6 ❌ Used in RHEL 8, but not supported by project dependencies
3.7 ❌ End of Life (EOL)
3.8 ❌ End of Life (EOL)
3.9 ❌ Used in Debian 11 and RHEL 9, but not supported by project dependencies
3.10 ✅ Actively maintained
3.11 ✅ Actively maintained; supported until June 2028 (Debian 12)
3.12 ✅ Actively maintained; supported until May 2035 (RHEL 10)
3.13 ✅ Actively maintained; supported until June 2030 (Debian 13)
3.14 ✅ Supported (requires imapclient>=3.1.0)
S
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