dmarcparser parses a TXT resource record and determines whether it contains a valid DMARC record including syntax and semantics validation.
The syntax parser is built on top of the apg-py library for parsing ABNF and the ABNF grammar defined in
RFCs 7489,
6376,
3986.
The semantics validation follows the specification from the DMARC RFC7489 such
as tag default values, ignoring unknown tags, the sp inheritance,
or p-downgrade in the case of a valid rua tag present in the record. In case of a valid DMARC record, the result
object contains the parsed (understood) values following the specification.
pip install git+https://github.com/drakkar-lig/abnf-dmarc-parser
Parsing a valid DMARC record:
from dmarcparser import DmarcParser
dmarc_record = "v=DMARC1; p=reject; rua=mailto:[email protected]; ruf=mailto:[email protected]; fo=0; adkim=r; aspf=r"
parser = DmarcParser()
result = parser.parse(dmarc_record, follow_downgrade=True)
assert result.v.effective_value == "DMARC1"
assert result.p.effective_value == "reject"
assert result.sp.effective_value == "reject"
assert result.rua.valid[0]['email'] == "[email protected]"Parsing an invalid DMARC record raises an exception containing an error code an explanation:
from dmarcparser import DmarcParser, DmarcException
dmarc_record = "v=DMARC1; p=invalidstring;"
parser = DmarcParser()
try:
result = parser.parse(dmarc_record, follow_downgrade=True)
except DmarcException as e:
print(f"error in DMARC record: {e.value}")