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Migrate the database schema to SQLAlchemy
The new schema was generated with sqlacodegen and then manually adjusted to fit schema/aur-schema.sql faithfully, both in the organisation of the code and in the SQL generated by SQLAlchemy. Initializing the database now requires the new tool aurweb.initdb. References to aur-schema.sql have been updated and the old schema dropped. Signed-off-by: Lukas Fleischer <lfleischer@archlinux.org>
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10 changed files with 481 additions and 482 deletions
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@ -1,10 +1,6 @@
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FOREIGN_TARGETS = ../schema/aur-schema-sqlite.sql
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T = $(sort $(wildcard t[0-9][0-9][0-9][0-9]-*.sh))
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check: $(FOREIGN_TARGETS) $(T)
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$(FOREIGN_TARGETS):
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$(MAKE) -C $(dir $@) $(notdir $@)
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check: $(T)
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clean:
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$(RM) -r test-results/
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@ -110,10 +110,7 @@ SSH_TTY=/dev/pts/0
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export SSH_CLIENT SSH_CONNECTION SSH_TTY
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# Initialize the test database.
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DBSCHEMA="$TOPLEVEL/schema/aur-schema-sqlite.sql"
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[ -f "$DBSCHEMA" ] || error 'SQLite database schema not found'
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rm -f aur.db
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sqlite3 aur.db <"$DBSCHEMA"
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python -m aurweb.initdb
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echo "INSERT INTO Users (ID, UserName, Passwd, Email, LangPreference, AccountTypeID) VALUES (1, 'user', '!', 'user@localhost', 'en', 1);" | sqlite3 aur.db
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echo "INSERT INTO Users (ID, UserName, Passwd, Email, LangPreference, AccountTypeID) VALUES (2, 'tu', '!', 'tu@localhost', 'en', 2);" | sqlite3 aur.db
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