lib/tnrs.py: switched to downloading all matches per name, as is needed to implement #917. note that this will break the parts of the schema that use the tnrs table, until Brad's match-picking algorithm can be implemented, but this tradeoff is necessary to be able to begin scrubbing sooner (Martha; wiki.vegpath.org/2014-05-29_conference_call#TNRS)
schemas/vegbien.sql: tnrs_input_name: don't scrub accepted names, as using multiple matches per name no longer provides a single accepted name to scrub. instead, the Accepted_* fields can be whitespace-split to generate the same columns that would have been generated by the scrubbing (and without the overhead of the extra TNRS call).
inputs/.TNRS/schema.sql: tnrs: populate match_num
inputs/test_taxonomic_names/_scrub/*: updated to TNRS schema
inputs/input.Makefile: add: verify/: also svn:ignore *.log
fix: inputs/test_taxonomic_names/Taxon/map.csv: scientificName: remapped to scientificName instead of taxonName as this does include the author for some names
*{.sh,run}: runscript targets: use begin_target instead of echo_func so the target name is properly echoed. note that this requires using with_rm so that $rm is properly progagated to applicable invoked targets. (previously, $rm was progagated to all invoked targets. note that with_rm only works inside a runscript target that starts with begin_target.)
inputs/input.Makefile: add!: verify/: also svn:ignore *.tsv, *.txt
moved everything into /trunk/ to create the standard svn layout, for use with tools that require this (eg. git-svn). IMPORTANT: do NOT do an `svn up`. instead, re-use your working copy's existing files with `svn switch` (http://svnbook.red-bean.com/en/1.6/svn.ref.svn.c.switch.html).
fix: bin/map: put template: comment out the "Put template:" label so that the output is valid XML, and displays properly in a browser rather than showing a syntax error
bugfix: mappings/VegCore-VegBIEN.csv: nest all taxonoccurrences inside a stratum event, so that the parent locationevent is always fully populated before child locationevents point to it. (previously, a stub parent event was created when the child event was imported first, which blocked the fully-populated parent event from being inserted later on.) this uses auto-folding (for VegBank/CVS) and auto-forwarding (for other datasources) to prune empty stratum events for taxonoccurrences that don't have strata. (see wiki.vegpath.org/Auto-folding, wiki.vegpath.org/Auto-forwarding for more info about these normalization techniques.) note that the inserted row counts stay exactly the same for all datasources except VegBank (which was being fixed), indicating that this signficant change to the mappings did not change the semantics of the import of taxonoccurrences.
inputs/*/*/test.xml.ref: updated source.shortname for new datasource name, which now starts out with .new suffix
inputs/test_taxonomic_names/test_scrub: added step to update inputs/.TNRS/data.sql to the now-refreshed TNRS sample data (this updating step is now automated)
inputs/.TNRS/data.sql: re-ran TNRS using `inputs/test_taxonomic_names/test_scrub; rm=1 inputs/.TNRS/data.sql.run export_`
inputs/test_taxonomic_names/_scrub/TNRS_results.ppt: highlighted the sample row and related rows
inputs/test_taxonomic_names/_scrub/TNRS_results.xls: moved arrows to TNRS_results.ppt so they can be changed more easily
inputs/test_taxonomic_names/_scrub/TNRS_results.ppt: TNRS.tnrs: added diagram labels for the various names and steps
inputs/test_taxonomic_names/_scrub/TNRS_results.xls: use "Poa annua var. eriolepis"->"Poaceae Poa annua L." as the synonym example instead of "Poa annua fo. lanuginosa"->"Poaceae Poa annua var. annua" because the input name is simpler and it's closer to the beginning of the list
inputs/test_taxonomic_names/_scrub/run: exports/make(): tnrs.csv: include Name_matched instead of Genus_matched+Specific_epithet_matched because this also contains lower ranks, which are used in the TNRS synonymizing
inputs/test_taxonomic_names/_scrub/TNRS_results.ppt: added annotations explaining the import steps
added inputs/test_taxonomic_names/_scrub/TNRS_results.ppt, containing the *.png screenshots with tables labeled
added inputs/test_taxonomic_names/_scrub/*.png, screenshots of the TNRS_results.xls tabs (LibreOffice does not preserve the formatting when pasting a spreadsheet to a PowerPoint as a table, and the table editing options are limited)
added inputs/test_taxonomic_names/_scrub/TNRS_results.xls with formatted versions of the *.csv tables
inputs/test_taxonomic_names/_scrub/run: exports/make(): subset the columns to include only the most important to demo how the data is represented
inputs/test_taxonomic_names/_scrub/run: exports/make(): allow specifying an explicit columns list for each table using cols=... (initially set to all columns)
added inputs/test_taxonomic_names/_scrub/*.csv exports
added inputs/test_taxonomic_names/_scrub/run, which exports the test_scrub-populated tables to CSV
reran inputs/test_taxonomic_names/test_scrub, which generates the public.test_taxonomic_names sample schema
inputs/*/ which do not contain any explicit collisions (wiki.vegpath.org/2013-06-27_conference_call#To-do-for-Aaron > #3.2 > the following datasources ...): switched to new-style import, which adds the staging table column renaming
inputs/*/Source/VegBIEN.csv: regenerated for new-style import, which uses a symlink to mappings/VegCore-VegBIEN.csv instead of a custom mapping using the original column names
inputs/*/*/map.csv for CSV tables with a row_num column: added missing row_num entry, which is needed by the staging table column renaming to make the order of the map.csv columns match the order in the staging table
bugfix: inputs/*/Source/map.csv: added missing row_num entry, which is needed by the staging table column renaming to make the order of the map.csv columns match the order in the staging table. the staging table column renaming is now used by all Source tables.
bugfix: inputs/*/Source/: added missing ./run, which creates the new-style staging tables with the metadata fields as part of the table. this is needed now that these subdirs use installed staging tables instead of metadata-only map.csvs.
inputs/*/: added table.run for use by the table subdirs in new-style import. datasources without table subdirs do not need this.
inputs/*/: added top-level Makefile which includes inputs/input.Makefile, so that make can be run directly on the datasrc dir without needing to specify `--makefile=../input.Makefile` (see input.Makefile $(selfMake))
added inputs/test_taxonomic_names/Taxon/header.csv
bugfix: inputs/*/Source/: use installed staging table (with blank-line data.csv) in order to also work with new-style import. this also fixes a benign diff between the by-row and by-col test outputs, where row-based import would not import the Source/ entries because there was not at least one row in the input. note that in order to ensure that all datasources are properly run, you need to check `svn st|sort` against the datasource schema names to see if any are missing.
inputs/*/logs: updated svn:ignore
inputs/*/*/logs: updated svn:ignore
empty inputs/*/import_order.txt: added subdirs in the order they are used by inputs/input.Makefile, by running make on the inputs to auto-populate import_order.txt. import_order.txt is needed by the runscripts to run the right set of subdirs in the right order.
inputs/.TNRS/schema.sql: tnrs: added Is_homonym derived col (uses IRMNG.family_homonym_epithet, genus_homonym_epithet)
inputs/.TNRS/schema.sql: updated for current TSV schema: renamed Accepted_species->Accepted_name_species, Accepted_family->Accepted_name_family
inputs/.TNRS/schema.sql, data.sql: updated TNRS CSV columns to preserve Name_matched_accepted_family even though it isn't present in the current TNRS CSVs. this way, Name_matched_accepted_family can still be used for previously-scrubbed names, and family_matched can be added back to analytical_stem_view. (now that bin/tnrs_db uses an explicit columns list in COPY TO, the absence of a column in the CSV is no longer a problem.)
inputs/.TNRS/schema.sql, data.sql: updated for new TNRS CSV columns (see bug at https://pods.iplantcollaborative.org/jira/browse/TNRS-183). note that these columns may eventually change back (comment by Naim at https://pods.iplantcollaborative.org/jira/browse/TNRS-183#comment-34444).
inputs/test_taxonomic_names/test_scrub: use sh's -e (errexit) mode so errors in an invoked script cause the script to abort instead of burying the error in more output
inputs/test_taxonomic_names/test_scrub: documented that `make schemas/"$public"/uninstall` removes the previous results (since it may be confusing why it's prompting the user to uninstall the schema that is an output of the program)
inputs/test_taxonomic_names/test_scrub: don't need to run the import twice anymore because the accepted names are now included in the tnrs_input_name view that TNRS runs on
inputs/test_taxonomic_names/test_scrub: updated for current TNRS schema
bugfix: inputs/test_taxonomic_names/test_scrub: unset $n so it doesn't limit the # rows. it is set to 2 in the default test environment, so must be unset for n-sensitive programs that should be unlimited.
inputs/input.Makefile: %/.map.csv.last_cleanup: Run fix_line_endings after canon/translate to standardize Python's \r\n line endings back to \n. This prevents issues with mixed line endings because LibreOffice (and probably Excel) treat all cell-internal line endings as \n but row line endings as whatever the file had, while text editors like jEdit translate all line endings to whatever the autodetected line ending is. (This creates spurious line ending diffs when a map spreadsheet containing multiline cells is edited in a text editor.)
mappings/VegCore.htm: Regenerated from wiki. Documentation has been added on how to choose term names (https://projects.nceas.ucsb.edu/nceas/projects/bien/wiki/VegCore#Naming) and how to form globally unique ID values (https://projects.nceas.ucsb.edu/nceas/projects/bien/wiki/VegCore#Forming-IDs). Source and Specimen terms have been renamed to be self-explanatory and unambiguous (the DwC equivalents remain as synonyms). Short definitions of Source terms have been added to explain the differences between them. Source, Specimen, and Collection terms have been shortened according to the new instructions for choosing preferred term names (https://projects.nceas.ucsb.edu/nceas/projects/bien/wiki/VegCore#Naming).
mappings/VegCore-VegBIEN.csv: Removed TNRS input taxonlabels meant to cross-link to taxonlabels added by the TNRS import, because TNRS taxondeterminations are now created instead
mappings/VegCore-VegBIEN.csv: taxonlabel.taxonomicname: Prepend the family to the rest of the name using new _merge_prefix() instead of _join_words()/_nullIf(), so that any input taxonomic name that includes the family will not have the family duplicated in the combined taxonomic name. Previously, the duplication was removed only when the rest of the input name was equal to the family. This change fixes a bug in the new TNRS import where a pre-concatenated taxonomic name (Accepted_scientific_name) which includes the family is now used instead of Accepted_name, which only includes it when it's equal to the family.
mappings/VegCore-VegBIEN.csv: authortaxoncode mappings: Only use authorTaxonCode if there is no plant ID, because an individual plant gets its own taxonoccurrence and thus needs the taxonoccurrence's IDs to be unique to the plant, regardless of what the author designates as the taxonoccurrence code
mappings/VegCore-VegBIEN.csv: Mapped authorTaxonCode
inputs/*/Source/map.csv without mappings: Added referenceType, etc. mappings. This also ensures that the source table entry for the datasource will be created before the herbaria list is imported, causing all top-level datasources to sort at the top of the source table.
input.Makefile: SVN: add: verify: Also ignore *.xlsx
inputs/input.Makefile: SVN: add: verify/: Added *.xls to svn:ignore
input.Makefile: SVN: add: Add a Source table to store datasource metadata. This adds a Source table to all herbaria which are listed in .herbaria, and therefore didn't previously need a Source table to indicate their referenceType and sampleType.
inputs/*/verify/: Updated svn:ignore
db_xml.py: put(): _setDefault(): Support setting multiple col_defaults at once by using the param names themselves as the column names
mappings/VegCore-VegBIEN.csv: Set the source_id col_default to the datasource name using the new _setDefault() built-in function and _env()
mappings/VegCore-VegBIEN.csv: Concatenated taxonlabel: Don't prepend family if the taxonName/scientificName itself is the family, so that the family is not duplicated in the concatenated taxonomic name
schemas/vegbien.sql: Renamed reference -> source to make this table more broadly applicable, and because this now stores the datasource metadata
mappings/VegCore-VegBIEN.csv: Renamed creator_ids to reference_id since they are now fkeys to reference
schemas/vegbien.sql: Made creator_ids an fkey to reference instead of party, so that datasources are stored separately from people and to allow adding reference-type metadata (URL, copyright, etc.) for each datasource
schemas/vegbien.sql: taxonverbatim: Renamed binomial to taxonname because this field is actually the taxonomic name without the author, not just the genus+specific epithet binomial
mappings/VegCore.csv: Renamed *Binomial to *TaxonName because this field can store more ranks than just the genus+specificEpithet binomial (that goes in speciesBinomial)
Calls to `make inputs/.TNRS/cleanup`: Do `make inputs/.TNRS/tnrs_accepted/reinstall; make inputs/.TNRS/tnrs_other/reinstall` instead to use new split TNRS tables
inputs/test_taxonomic_names/test_scrub: `make inputs/.TNRS/reinstall`: Use new $schema_only option so that an empty TNRS schema is installed rather than one containing inputs/.TNRS/data.sql
inputs/test_taxonomic_names/_scrub/public.test_taxonomic_names.sql, TNRS.sql: Regenerated with schema and mappings changes
mappings/VegCore-VegBIEN.csv: Prepend the family to the concatenated scientificName input to TNRS, so that TNRS can use it to disambiguate the genus
schemas/vegbien.sql: taxonoccurrence: Added taxonoccurrence_required_key check constraint to ensure that all taxonoccurrences are properly identified, and empty taxonoccurrences are properly pruned. This fixes a bug where taxon-only and stem-only data did not properly prune the taxonoccurrence that would otherwise get created because it's included in the mappings.
inputs/test_taxonomic_names/test_scrub: Remove any previous version of public.test_taxonomic_names before renaming public to it
inputs/test_taxonomic_names/test_scrub: Fixed bug where public.sql export did not include the "CREATE SCHEMA public" statement, because pg_dump doesn't add it to backups, by using new schemas/rename/% make target to first rename the public schema and then exporting it
inputs/test_taxonomic_names/_scrub/public.sql, TNRS.sql: Regenerated with schema changes
inputs/test_taxonomic_names/test_scrub, README.TXT: Documented that `make schemas/public/reinstall` must come after TNRS restore to recreate the tnrs_input_name view, which has a dependency on the TNRS schema
schemas/vegbien.sql: Link taxondetermination to taxonverbatim (which is a subclass of taxonlabel) instead of directly to taxonlabel. This will enable later having multiple taxonverbatims for one taxonlabel.
schemas/vegbien.sql: taxonlabel: Renamed identifyingtaxonomicname to taxonomicname because the taxonomicname provided by the datasource is now in taxonverbatim, so there is no name collision. Note that both of these fields store the same type of information, but taxonlabel's is autogenerated while taxonverbatim's is verbatim (and is only set if provided by the datasource).
schemas/vegbien.sql: taxonlabel: Moved non-scoping fields to new taxonverbatim subclass table, which contains the component parts of the taxonlabel
mappings/VegCore-VegBIEN.csv: Also create the identifyingtaxonomicname on the verbatim taxonlabel supplied by the datasource, in addition to on the TNRS input taxonlabel that the verbatim taxonlabel is matched up with
mappings/VegCore-VegBIEN.csv: Expanded brace expressions for putting together the identifyingtaxonomicname
mappings/VegCore-VegBIEN.csv: Always generate the concatenated identifyingtaxonomicname, even for higher taxa, to ensure that this field is always populated. Note that this will cause names of higher taxa to be scrubbed by TNRS, but this is usually not a problem because such names either have no match or not a close enough match based on the name only. Naming conventions generally cause names at different ranks to be different, so that collisions with lower ranks should not be a problem.
schemas/vegbien.sql: taxonlabel: Renamed taxonomicname to binomial because it excludes the author
mappings: Renamed *scientificName to *binomial because DwC defines the scientificName as "The full scientific name, with authorship and date information if known", but many datasources do not include the author in their scientific name, and the fields scientificName is mapped to in VegBIEN assume it does not include the author
schemas/vegbien.sql: Renamed taxonconcept to taxonlabel per today's conference call, where it was decided that taxonconcept contained too many unrelated fields to be purely a taxon concept
mappings/VegCore-VegBIEN.csv: identifyingtaxonomicname: Don't create if taxonconcept has an explicit parent, because the taxonName (which is generally only a component of the full taxonomic name, e.g. specificEpithet) is not globally unique. Datasources that provide name components in such a way that levels at or below family can't be directly concatenated cannot currently receive an identifyingtaxonomicname for input to TNRS.
inputs/test_taxonomic_names/_scrub/public.sql: Regenerated with schema changes
mappings/VegCore-VegBIEN.csv: Mapped taxonConceptID, taxonID, scientificNameID to taxonconcept.sourceaccessioncode. Note that taxonconcept stores all of these taxonomic entities, using creator_id+creationdate, taxonname+rank+parent_id, and identifyingtaxonomicname, respectively.
schemas/vegbien.sql: taxonconcept: Renamed canon_concept_id to matched_concept_id, because this is actually the closest-match taxonconcept in the match hierarchy (datasource concept -> parsed concept -> matched concept -> accepted concept) rather than the accepted synonym, which goes in accepted_concept_id
inputs/test_taxonomic_names/Taxon/+header.txt: Changed line endings to \r\n to match testNames.txt line endings. This will be necessary when the line ending is autodetected by csvs.sniff().
inputs/test_taxonomic_names/test_scrub: Also export the results to inputs/test_taxonomic_names/_scrub/
inputs/test_taxonomic_names/test_scrub: Use regular for .. in loop with a list of what's being processed in each iteration (match_input_names, parse_accepted_names)
Added inputs/test_taxonomic_names/test_scrub
