sql.py: DbConn.col_info(): Fixed bug where self needs to be used everywhere that db normally is, because this is a DbConn method rather than a global function

sql.py: DbConn.col_info(): For PostgreSQL, use pg_catalog tables directly instead of their views in information_schema. This allows using ::regclass to look up the table in the search_path, and fixes a bug in imports with an explicit public schema where column types were looked up in public instead of public.<version>. Also don't wrap default using sql_gen.as_Code() when it's None (indicating no default value, aka default=NULL), because this value is interpreted specially by sql_gen.TypedCol.

inputs/Makefile: Input data: $(rsyncSrcs): Also include log files other than install.log.sql

import_all: Run all imports (not just the main datasources' import) with $import_source turned off, so that the Source tables will not be imported a second time when the datasource's main tables are imported. Note that it's not necessary to wait for asynchronous commands after the jobs for the main import are started (so that $import_source is not unset until after they are started), because with_all does not return until all jobs are started and have noted the $import_source setting in effect in the shell environment.

import_all: Source tables import: Fixed bug where need to use $all option to with_all to also include special datasources starting with "."

make_analytical_db: Also create taxon_trait materialized view

inputs/*/*/map.csv: Reverted special OMIT mappings for input columns that have the same name as a VegCore table and have not yet been mapped to a VegCore term

mappings/Makefile: VegCore.csv: Filter out the VegCore tables so they are not matched as terms. This is necessary because some terms have the same name as a table, but the term should be the match rather than the table.

mappings/VegCore.csv: Changed line endings to \r\n to match the output of filter_out_ci

inputs/CTFS/TaxonOccurrence/map.csv: Mapped SpeciesAuthority