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Bump versions of ftm, ftm-store and servicelayer #234
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Not sure about dataset
, but followthemoney
and followthemoney-store
are also installed directly e.g. in our pipelines image, so pinning them to an exact version will likely make it cumbersome to upgrade these versions independently from Memorious. Sometimes it’s important to be able to quickly bump e.g. the FtM version to make use of a new schema from the default model.
setup.py
Outdated
"tabulate", | ||
"python-dateutil >= 2.8.2, < 3.0.0", | ||
"dataset >= 1.0.8", | ||
"servicelayer[google,amazon] == 1.20.7", | ||
"dataset == 1.6.2", |
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"dataset == 1.6.2", | |
"dataset >= 1.6.2", |
setup.py
Outdated
"pantomime == 0.5.1", | ||
"alephclient >= 2.3.5", | ||
"followthemoney >= 2.3.1", | ||
"followthemoney-store >= 3.0.1", | ||
"followthemoney == 3.5.2", |
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"followthemoney == 3.5.2", | |
"followthemoney >= 3.5.2", |
setup.py
Outdated
"followthemoney >= 2.3.1", | ||
"followthemoney-store >= 3.0.1", | ||
"followthemoney == 3.5.2", | ||
"followthemoney-store == 3.0.6", |
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"followthemoney-store == 3.0.6", | |
"followthemoney-store >= 3.0.6", |
…t instead of fixed
8755a7e
to
275601b
Compare
dataset
to the latest versionmemorious
run with the versions as they currently are in this PR, against a PostgreSQL databaseftm
,ftm-store
andservicelayer
have been bumped to their latest version that makes them backwards and forwards compatible withSQLAlchemy
1.4.49
and2+
. This is needed in order formemorious
to be able to use the latest version ofdataset
which hasn't been refactored to useSQLAlchemy 2+
yetbanal
andnormality
to the latest versions, to match the versions used inftm
,ftm-store
andservicelayer