Vincent 535d9db1ad cli: support _FILE suffix on PARSEDMARC_* env vars for Docker secrets (#772)
Appending _FILE to any PARSEDMARC_{SECTION}_{KEY} env var reads the
value from the referenced file, with one trailing newline stripped.
This matches the Postgres/MariaDB/Redis container-image convention so
Docker Compose and Kubernetes secret mounts work without extra glue,
keeping credentials out of plain environment: blocks (and out of
docker inspect, container logs, and /proc/<pid>/environ).

When both the direct var and its _FILE companion are set, the file
wins. A missing or unreadable file raises ConfigurationError rather
than silently degrading to an empty credential. The four pre-existing
config keys whose own names end in _file ([general] log_file,
[msgraph] token_file, [gmail_api] credentials_file / token_file)
keep their direct-path semantics; pass their values via secret by
doubling the suffix (_FILE_FILE).
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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), 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 is a project is maintained by one developer. Please consider sponsoring my work if you or your organization benefit from it.

Features

  • Parses draft and 1.0 standard aggregate/rua DMARC reports
  • Parses forensic/failure/ruf DMARC reports
  • Parses reports from SMTP TLS Reporting
  • 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, and/or Splunk, for use with premade dashboards
  • Optionally send reports to Apache Kafka

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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