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/U/: switched to new-style import, using the steps at http://wiki.vegpath.org/Adding_new-style_import_to_a_datasource
inputs/U/Specimen/map.csv: translated remaining multi-column filters to postprocessing derived columns, using the steps at http://wiki.vegpath.org/Adding_new-style_import_to_a_datasource#Translating-filters-to-postprocessing-derived-columns
inputs/U/Specimen/: translated some multi-column filters to postprocessing derived columns, using the steps at http://wiki.vegpath.org/Adding_new-style_import_to_a_datasource#Translating-filters-to-postprocessing-derived-columns
inputs/U/Specimen/map.csv: Majorarea: mapped to stateProvince, which is the closest equivalent for Guyana/Suriname
inputs/U/Specimen/map.csv: Gazetteer/Newgazett: remapped to county, which is the closest equivalent for Guyana/Suriname
inputs/U/Specimen/map.csv: Gazetteer, Newgazett: combine them with _alt() instead of _join() because only one of Gazetteer, Newgazett is ever populated
mappings/VegCore-VegBIEN.csv: genus->taxonlabel.taxonomicname: filter out genera that contain numbers (using new _filter_genus()), which break TNRS and prevent it from matching any other parts of the name. later, these genera can instead be moved to the end of the name, where TNRS will correctly match them as Unmatched_terms.
inputs/U/Specimen/map.csv: Populated specimenHolderInstitutions
mappings/VegCore-VegBIEN.csv: Mapped reproductiveCondition
schemas/vegbien.sql: taxonlabel: Removed creationdate, which duplicates taxondetermination.determinationdate
mappings/VegCore-VegBIEN.csv: Mapped recordNumber to new specimenreplicate.collectionnumber
schemas/vegbien.sql: plantobservation: Renamed collectionnumber to authorplantcode since this number, which identifies the plant, is actually different from the collectionnumber that identifies the specimen collected from it. This distinction is meaningful for plots data, but generally not for specimens data.
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: Mapped locality description fields to location.iscultivated using _locationnarrative_is_cultivated()
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()
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: Made taxonoccurrence.verbatimcollectorname an fkey to party, and renamed it to collector_id
mappings/VegCore-VegBIEN.csv: matched place's coordinates: Fixed bug where coordinates entry itself needed to have its datasource (reference) set to geoscrub, in addition to the place entry that uses it, in order to match up properly with geoscrub's corresponding input place (whose coordinates as well as place are owned by the geoscrub datasource)
mappings/VegCore-VegBIEN.csv: decimalLatitude/Longitude->geoscrub input coordinates: Also set to NULL if 0 here, not just for the coordinates linked to the datasource's place instance
mappings/VegCore-VegBIEN.csv: matched place: Also map verbatim place's geoscrub-related fields to the matched place, to link up with geoscrub's corresponding input place
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
mappings/VegCore-VegBIEN.csv: Don't populate taxonlabel.creator_id using identifiedBy, because that was meant for creating a taxonconcept when the accordingTo was not specified, but taxonconcepts are now modeled differently using a taxonconcept subclass of taxonlabel with a concept_reference_id
mappings/VegCore-VegBIEN.csv: Remapped latitude/longitude to new coordinates table
schemas/vegbien.sql: Renamed placepath to place since this contains primary information about the place, including the reference to the canonical place
mappings/VegCore-VegBIEN.csv: Only prepend the family to the concatenated scientificName for TNRS if it ends in -aceae (using _taxon_family_require_std()), to avoid sending unsupported, nonstandard families to TNRS which it will place in Unmatched_terms
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
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: Remapped people's names split apart into name components in party to new party.fullname, which does not require splitting or make assumptions about the number of people who may be listed in a particular name field and which components of their name(s) are present
schemas/vegbien.sql: taxonconcept: Renamed taxonname to taxonepithet for clarity and to be consistent with TCS's use of "epithet" to denote what the taxonname was intended to be (http://www.tdwg.org/standards/117/download/#/UserGuidev_1.3.pdf)
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
schemas/vegbien.sql: taxonconcept: Renamed canon_taxonconcept_id to canon_concept_id to shorten the name, which is used often
mappings/VegCore-VegBIEN.csv: Mapped to new taxonconcept.creationdate
schemas/vegbien.sql: taxonconcept: taxonconcept_required_key: Added creationdate as an allowable minimum field when parent_id (containing the associated hierarchical concept) is specified
schemas/vegbien.sql: taxonconcept: taxonconcept_required_key: Removed family and genus because these are now cached fields only, and are not used for scoping a taxonconcept. Instead, *taxonomicname and taxonname+parent_id are used for this purpose. This removes several leaf taxonconcepts with insufficient scoping information to create a taxonconcept separate from the main tree. With the upcoming population of creationdate, some of these taxonconcepts will reappear due to the date's additional distinguishing information.
mappings/VegCore-VegBIEN.csv: taxonconcept: Moved infraspecific taxonconcept to its own level, rather than combining it with the level that contains the full taxonomic name and author (as well as any morphospecies), for consistency with the storage of other ranked taxonomic name components, which each get their own taxonconcept. The infraspecific taxon concept is general to all parties making idenfitications (within a datasource), while the concatenated name and author and any morphospecies are specific to the person who defined the taxonconcept used by a taxondetermination.
mappings/VegCore-VegBIEN.csv: taxonconcepts: Also create the taxonconcept tree if datasource provided separated components of the taxonomic name and/or its own tree of life with higher classifications. This enables storing the datasource's own tree of life to supplement any official tree (TROPICOS, USDA, etc.).
schemas/vegbien.sql: Renamed datasource_id to creator_id so it can apply generally to any entity (such as a person), not just an aggregated datasource. This also enables taxonconcept.datasource_id to merge with creator_id, which now serves the same purpose.
schemas/vegbien.sql: taxonconcept: Renamed definer_id to creator_id to allow merging with datasource_id when datasource_id is renamed to creator_id
mappings/VegCore-VegBIEN.csv: Populated new taxonconcept.definer_id from identifiedBy, or when no identifiedBy is specified, from the datasource itself (using _simplifyPath:[next=datasource_id])
mappings/VegCore-VegBIEN.csv: Fixed bug where needed to set datasource_id=0 on the TNRS party (which concatenated names/TNRS inputs are owned by) in order to make it a datasource (a root party)
schemas/vegbien.sql: Renamed taxonpath -> taxonconcept as part of taxonomic schema refactoring at <https://projects.nceas.ucsb.edu/nceas/projects/bien/wiki/2012-10-03_conference_call#Taxonomic-schema-refactoring>
mappings/VegCore-VegBIEN.csv: taxonoccurrence.authortaxoncode: Only populate if needed to distinguish the taxonoccurrence within a plot
mappings/VegCore-VegBIEN.csv: non-TNRS taxonpaths: Store the concatenated identifyingtaxonomicname in a separate taxonpath owned by the TNRS datasource, so that it will match up with (and create a link to) the corresponding submitted TNRS name's taxonpath. This in turn is linked to the TNRS-determined accepted name, thus creating a three-level hierarchy of datasource name -> concatenated name -> accepted name.
mappings/VegCore-VegBIEN.csv: taxonomic terms: Remapped the concatenated taxonomic name to new identifyingtaxonomicname to use it directly to match up with the TNRS submitted name. Continue to map scientificNameWithAuthorship to taxonomicnamewithauthor.
mappings/VegCore-VegBIEN.csv: Taxonomic terms: Also join terms together in taxonomicnamewithauthor if scientificNameWithAuthorship is not provided, for use by TNRS
schemas/vegbien.sql: party: Added check constraint to require at least an organizationname or surname. Previously, NULL entries for the collector or identifier incorrectly caused the creation of an empty party entry, hence the lower inserted row counts now that this is no longer created.
mappings/VegCore-VegBIEN.csv: Forward occurrenceID to taxonoccurrence.sourceaccessioncode when there is no other taxonoccurrence.sourceaccessioncode, to ensure that taxonoccurrence is uniquely identified so that there is one taxonoccurrence per organism
schemas/vegbien.sql: Added units suffix to all core VegBIEN fields that have units. It is the responsibility of the mappings to ensure that all units are properly translated.
schemas/vegbien.sql: Added placepath (analogous to taxonpath), and point locationplace to it instead of directly to namedplace
schemas/vegbien.sql: Split locationdetermination into locationcoords and locationplace, so that coordinate determinations can be made separately from place determinations
schemas/vegbien.sql: Renamed plantconcept to taxonpath for consistency with DwC's Taxon category and to emphasize that the table stores taxonomic paths
mappings/VegCore-VegBIEN.csv: Taxonomic names: Remapped to new denormalized fields in plantconcept
inputs/*/*/map.csv: Changed _merge to _join everywhere because _merge's (slower) duplicate elimination functionality is not needed (the combined columns do not both contain the same value, so they can simply be concatenated)
mappings/VegCore-VegBIEN.csv: Removed no longer needed /_simplifyPath:[next=parent_id]/path expressions in specific paths because parent_id forwarding is now set globally for all paths in the map root
mappings/VegCore-VegBIEN.csv: Added /_simplifyPath:[next=parent_id]/path to root so the returned subplot location will be its parent location if there is no subplot name or ID (indicating that that particular plot did not have subplots). Note that this also causes the parent_id forwarding effect to occur for all other tables containing parent_id, which will help prevent similar issues with subplot events, etc. This will hopefully fix the SALVIAS.plotObservations bug where some organisms did not have a subplot #, causing the subplot location to become NULL and causing the corresponding locationevent rows not to match the locationevent_unique_within_location index filter condition (which requires a parent_id), which caused multiple output table pkeys to be returned for those rows, violating the locationevent_pkeys temp table's primary key.
mappings/VegCore-VegBIEN.csv: namedplace elements: _simplifyPath() calls: Removed no longer needed `require` arg, and removed no longer needed table suffix from `next` arg
mappings/: Moved year/month/dayCollected mappings from Veg+-VegCore.csv to VegCore-VegBIEN.csv so that Veg+-VegCore.csv contains only renamings, not business logic. Note that this allows the year/month/dayCollected values to bypass the additional _dateRangeStart filter that is applied to text dates. The priority of the plain dateCollected field is now higher than the year/month/dayCollected fields when both are specified, because the dateCollected field presumably contains verbatim text while the year/month/dayCollected fields contain parsed date parts.
mappings/VegCore-VegBIEN.csv: Don't map dateCollected to locationevent.obsstartdate/obsenddate because this is the date the specimen was collected, not the date (range) of the entire collection event. This distinction may not be meaningful for specimens data, but VegBIEN should reflect what the data provider designated. This also reduces the number of dateCollected-related mappings needed for any dateCollected-related field, such as year/month/dayCollected.
mappings/: Moved year/month/dayIdentified mappings from Veg+-VegCore.csv to VegCore-VegBIEN.csv so that Veg+-VegCore.csv contains only renamings, not business logic. Note that this allows the year/month/dayIdentified values to bypass the additional _dateRangeStart filter that is applied to text dates. The priority of the plain dateIdentified field is now higher than the year/month/dayIdentified fields when both are specified, because the dateIdentified field presumably contains verbatim text while the year/month/dayIdentified fields contain parsed date parts.
inputs/: Renamed subfolders to VegCSV names, using the steps at <https://projects.nceas.ucsb.edu/nceas/projects/bien/wiki/VegCSV_subfolders#Rename-subfolders-to-VegCSV-names>
mappings/VegCore-VegBIEN.csv: location.authorlocationcode mappings: Use _first to remove specimens-related alternatives for this field from consideration when plots-related alternatives exist. This avoids unintentionally using specimens-related columns for this field in plots data.
xml_func.py: simplify(): Added pruning optimization that removes empty children. Empty children are created when some mappings don't apply to the current datasource.
mappings/VegCore-VegBIEN.csv: _simplifyPath() calls: Removed no longer needed `require` arg, and removed no longer needed table suffix from `next` arg
mappings/VegCore-VegBIEN.csv: Primary taxondetermination: Removed [role=identifier] because the role of the entity making the determination is unknown. Added [!isoriginal] filter to those mappings to ensure that primary taxondetermination XPaths map to a different taxondetermination than the [isoriginal=true] determination when both are present.
mappings/VegCore-VegBIEN.csv: taxonomic terms: Removed ":[isoriginal=true]" because there may be multiple determinations for an organism (either in separate rows or, for SALVIAS, in separate columns), and not all will be the original determination
inputs: Move src subdir into main dir, using the steps at <https://projects.nceas.ucsb.edu/nceas/projects/bien/wiki/VegCSV_subfolders#Move-src-subdir-into-main-dir>
inputs: Moved test outputs into subfolders, using the steps at <https://projects.nceas.ucsb.edu/nceas/projects/bien/wiki/VegCSV_subfolders#Move-test-outputs-into-subfolders>
mappings/DwC2-VegBIEN.specimens.csv: catalogNumber: Added additional VegCSV mappings for mergability. taxonoccurrence.authortaxoncode: Added alternative mappings from VegCSV for mergability.
xml_func.py: simplify(): Apply pass-through optimizations for _if statements with no condition (which means false). This faciliates automated testing after an _if statement has been added, because the put template provided as part of the automated test will only change for those datasources that actually have a condition entry for the _if statement, which greatly reduces the number of tests that need to be accepted. (Note that the path before the _if will still be included as an empty path if there are no other mappings to that table, because the _if statement does not surround it.)
schemas/vegbien.sql: Moved collectionnumber from specimenreplicate to plantobservation to replace authorplantcode, since these terms are used analogously in plots and specimens data. This code is really the DwC recordNumber (VegBIEN collectionnumber), which "serves as a link between field notes and an Occurrence record, such as a specimen [or plots data] collector's number" (http://rs.tdwg.org/dwc/terms/#recordNumber). Also, this prevents a specimenreplicate from incorrectly being created when plots data provides an authorplantcode.
mappings/DwC2-VegBIEN.specimens.csv, VegCSV-VegBIEN.specimens.csv: Split occurrenceID into occurrenceID and individualID, where individualID refers to the plant in plots data and occurrenceID refers to the specimen in specimens data. This prevents plant sourceaccessioncodes from being mapped to the specimenreplicate, which was messing up stems mappings for the parent plantobservation. It also avoids mapping the specimenreplicate sourceaccessioncode to additional tables where it isn't needed. (Note that occurrenceID is needed for location to ensure that each specimen gets its own location to make locationdeterminations on. Everything else is directly or indirectly scoped by location when its own sourceaccessioncode isn't specified.)
mappings/DwC2-VegBIEN.specimens.csv, VegCSV-VegBIEN.specimens.csv: taxonoccurrence: Removed catalogNumber mapping because the catalogNumber applies only to the specimen, not to the occurrence, especially in plots data
mappings/DwC2-VegBIEN.specimens.csv, VegCSV-VegBIEN.specimens.csv: taxonoccurrence: Map everything except occurrenceID (which is globally unique) to new authortaxoncode, which only needs to be unique within the locationevent
mappings/DwC2-VegBIEN.specimens.csv, VegCSV-VegBIEN.specimens.csv: occurrenceID: Mapped to location.authorlocationcode instead of sourceaccessioncode so that it would not override any location- or event-related IDs in location.authorlocationcode merely by being mapped to the sourceaccessioncode field (which takes precedence over the authorlocationcode when specified)
mappings/DwC2-VegBIEN.specimens.csv: catalogNumber: Wrapped all mappings in direct voucher _if for mergability with VegCSV
mappings/DwC2-VegBIEN.specimens.csv: catalogNumber: Moved direct/indirect voucher _if inwards to wrap just the value of catalognumber_dwc, not the catalognumber_dwc field node, to match the corresponding VegCSV mapping
mappings/DwC2-VegBIEN.specimens.csv, VegCSV-VegBIEN.specimens.csv: taxonoccurrence.sourceaccessioncode mappings: Added catalogNumber mapping, which takes precendence over recordNumber and is applicable to specimens data and direct vouchers. recordNumber should only be used as a last resort (before the taxon name) because this is collector-assigned and often not unique within anything.
mappings/DwC2-VegBIEN.specimens.csv, DwC1-DwC2.specimens.csv: Split eventDate into eventDate and dateCollected, where eventDate refers only to the date of the sampling event, but dateCollected also refers to the date the particular specimen was collected. (This distinction is important in merging with VegCSV, because in plots data, these two fields are distinct.) Remapped datasources with dateCollected-related fields to new dateCollected.
mappings/DwC2-VegBIEN.specimens.csv: eventDate: Also map to obsstartdate/obsenddate, since the collectiondate is also the event date for specimens data, and for mergability with VegCSV
mappings/DwC2-VegBIEN.specimens.csv, VegCSV-VegBIEN.specimens.csv: eventDate: collectiondate mapping: Removed _dateRangeStart filter because the eventDate (obsstartdate) is only valid as the date the specimen was collected if it is a single date, not a date range. (It is still valid as the obsstartdate/obsenddate if it's a range.)
mappings/DwC2-VegBIEN.specimens.csv: recordNumber: Added VegCSV mappings for it
mappings/DwC2-VegBIEN.specimens.csv: occurrenceID: Added VegCSV mappings for it
mappings/DwC2-VegBIEN.specimens.csv: mappings to /location/sourceaccessioncode: Added _alt to prioritize them properly
mappings/DwC2-VegBIEN.specimens.csv: Remapped institutionCode/collectionCode/catalogNumber location mappings to location.authorlocationcode
mappings/DwC2-VegBIEN.specimens.csv, VegCSV-VegBIEN.specimens.csv: taxondetermination mappings: Removed iscurrent=true because it is not the role of the mappings to specify which taxondetermination is the current one. Eventually, the order of the determinations will need to be specified using a sort # or similar, and the DB will select the current one for queries to use. Ensure all mappings have :[isoriginal=true] so that they match up between DwC and VegCSV.
mappings/DwC2-VegBIEN.specimens.csv, VegCSV-VegBIEN.specimens.csv: taxondetermination mappings: Ensure all mappings have :[iscurrent=true] or equivalent so that they sort together, and match up between DwC and VegCSV
mappings/DwC2-VegBIEN.specimens.csv: Mapped identificationQualifier. This will enable merging with VegCSV.
mappings/DwC2-VegBIEN.specimens.csv: fieldNumber: Remapped to authoreventcode because this is (confusingly) the author code for the event, according to the DwC definition
mappings/DwC2-VegBIEN.specimens.csv: catalogNumber: Added _if wrapper for mergability with VegCSV-VegBIEN.specimens.csv
