Page Comparison

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1. get the updated Word document for the country from the SPM team
2. from OpenOffice Writer open the document and then "saveAs" choosing "Text Encoded" and then "Western Europe (ASCII/US)" and save the file into $PPI_BASE/data/<CountryName>.txt which should replace the existing file
3. update the line for this country in nicknames.csv, increasing the pointsVersion by 1
4. run $PPI_BASE/parseall.sh to regenerate the Mifos PPI files
5. include the updated $PPI_BASE/generated/scoringEtl/<country><year>PPIScore.sql in load_dw_ppi_survey.sql (which loads all scoring sql)
   • cat generated/scoringEtl/*PPIScore.sql > ../JohnWoodlockWorkInProgressETL/MifosDataWarehouseETL/load_dw_ppi_survey.sql

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1. Get the updated "Lookup Tables v15.xls" document
2. Open "Lookup Tables v15.xls" in OpenOffice Calc and navigage to the "<country_name> Mifos" tab for the country who's data has changed.
3. Do a "Save As..." in CSV format to the $PPI_BASE/data/percents/<CountryName>.csv file
4. run $PPI_BASE/parseall_percents.sh to regenerate the poverty line files (generated/povertylines/*PovertyLines.sql
5. put all the poverty line sql into a single file that is loaded by the data warehouse
   • mv ../JohnWoodlockWorkInProgressETL/MifosDataWarehouseETL/load_ppi_poverty_lines.sql /tmp
   • cat generated/povertyLines/*.sql > ../JohnWoodlockWorkInProgressETL/MifosDataWarehouseETL/load_ppi_poverty_lines.sql

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1. get the updated Word document for the country from the SPM team
2. from OpenOffice Writer open the document and then "saveAs" choosing "Text Encoded" and then "Western Europe (ASCII/US)" and save the file into $PPI_BASE/data/<CountryName>.txt which should replace the existing file
3. update the line for this country in nicknames.csv, increasing the questionsVersion by 1
4. run $PPI_BASE/parseall.sh to regenerate the Mifos PPI files
5. include the updated $PPI_BASE/generated/scoringEtl/<country><year>PPIScore.sql in load_dw_ppi_survey.sql (which loads all scoring sql)
   • cat generated/scoringEtl/*PPIScore.sql > ../JohnWoodlockWorkInProgressETL/MifosDataWarehouseETL/load_dw_ppi_survey.sql

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1. in bi/ppiparser run parseall.sh (this will regenerate generated/testData/*.properties files
2. initialize a clean Mifos database with base etl test data
   • echo "drop database mifos_ppi_test" | mysql -u root
   • echo "create database mifos_ppi_test" | mysql -u root
   • mysql -u root mifos_ppi_test < bi/JohnWoodlockWorkInProgressETL/MifosDataWarehouseETLTest/mifos_testetl_db.sql
3. copy all question group XML files to MIFOS_CONF/uploads/questionGroups
   • cp $PPI_BASE/ppiparser/generated/questionGroups/* ~/.mifos/uploads/questionGroups
4. run PPITestDataGenerator from inside Eclipse with an arg pointing to the test data dir (e.g. -a /home/van/reportingWorkspace/bi/ppiparser/generated/testData) and an arg for the client to use (e.g. -i 0003-000000006)
5. save the resulting Mifos database (with completed ppi surveys) NOTE: different output sql file than above
   • mysqldump -u root mifos_ppi_test > bi/JohnWoodlockWorkInProgressETL/MifosDataWarehouseETLTest/load_testppi_db.sql
6. run the etl (bi/ppi_build.sh) to populate with DW with PPI survey scores NOTE: jndi file for pentaho data integration must be configured with same OLTP and DW databases, and must support UTF-8
   • ppi_build.sh mifos_ppi_test mifos_ppi_test_dw ~/pentaho/data-integration/ '-u root'
7. now PPITest.groovy can be run
   • under Eclipse run configurations, add a new JUnit test
   • in the "VM arguments", define variables for biTestDbUrl and other system properties used by PPITest.groovy, for example:

     Code Block
     -DbiTestDbUrl=jdbc:mysql://localhost/mifos_ppi_test_dw -DbiTestDbUser=root -DbiTestDbPassword= -DbiTestDbDriver=com.mysql.jdbc.Driver

     (note that biTestDbUrl points to a test data warehouse schema)