Sean WhalenandClaude Opus 5.5 56e5a09923 Add opt-in Elasticsearch/OpenSearch data streams (#937)
* Add opt-in Elasticsearch/OpenSearch data streams (#842)

New use_data_streams option in [elasticsearch] and [opensearch] saves
each report type to a data stream named like today's index without the
date suffix, instead of daily or monthly indexes. parsedmarc puts an
exact-name index template (priority 501, @timestamp mapped as date,
<stream>@custom component template on Elasticsearch) and creates the
stream; retention is left to operator-managed ILM/ISM policies, with
documented examples. Dated indexes are untouched and still searched for
duplicates and matched by the dashboards. Every document now carries
@timestamp and is saved with op_type=create in both modes.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* Fix data stream prose found by cross-check review (layer 1)

Aggregate @timestamp is each record's begin date, not the report's; the
cluster only rolls backing indices over under an attached policy; move
the Elasticsearch 8.7 note after the template it refers to; clarify the
name-collision paragraph, OpenSearch-side comments, the migrate_indexes
docstring, and the test-module headers.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* Tighten names and wiring tests found by cross-check review (layer 2)

Split the use_data_streams CLI passthrough test per backend so a call
site reading the other section's flag fails; name the dated-mode tests
for both changes they assert; compute index_date only in dated mode in
every save function.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* Align data stream docs with Elastic/OpenSearch references (layer 3)

Say the stream must exist before reindexing into it (ES reindex API:
auto-creation needs a data-stream template); an existing stream's write
index needs the ILM policy attached directly since nothing rolls it over
otherwise; target the stream name in the _settings example; note
OpenSearch's leading-dot rule for stream names and Fleet's template
priorities.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* Cover the Loki client-initialization error wrapper

_parse_config accepts a [loki] token alongside username/password; only
the LokiClient constructor rejects the combination. Exercise that path
through _init_output_clients with the real constructor so the
RuntimeError("Loki: ...") wrapper Codecov flagged as uncovered is tested.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-31 15:37:37 -04:00
2026-10-31 10:13:37 -04:00
2018-02-05 20:23:07 -05:00
2026-10-31 10:13:37 -04:00
2026-03-09 18:24:16 -04:00

parsedmarc

Build
Status Code
Coverage PyPI
Package PyPI - Downloads

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, Grafana Loki, 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
Description
No description provided
Readme Apache-2.0
423 MiB
0 Stars 1 Watchers 0 Forks
Languages
Python 98.7%
Shell 1.2%