import UniversalTranslator
UT = UniversalTranslator

import paradigms
P = paradigms

import string

def phrasify (s):
    return string.split(s, ".")

abstract = phrasify("""A digital raster graphic (DRG) is a scanned
    image of a U S Geological Survey (USGS) topographic map.  The
    scanned image includes all map collar information.  The image
    inside the map neatline is georeferenced to the surface of the
    Earth.  The DRG can be used to collect, review, and revise other
    digital data, especially digital line graphs (DLG).  When the DRG
    is combined with other digital products, such as digital
    orthophoto quadrangles (DOQ) or digital elevation models (DEM),
    the resulting image provides additional visual information for the
    extraction and revision of base cartographic information.  The
    USGS is producing DRG's of the 1:24,000-,1:24,000/1:25,000-,
    1:63,360- (Alaska), 1:100,000-, and 1:250,000-scale topographic
    map series""")

purpose = phrasify("""The DRG is used for validating digital line
    graphs (DLG's) and for DLG data collection and revision.  The DRG
    can help assess the completeness of digital data from other
    mapping agencies.  It can also be used to produce "hybrid"
    products.  These include combined DRG's and DOQ's for revising and
    collecting digital data, DRG's and DEM's for creating
    shaded-relief DRG's, and combinations of DRG, DOQ, and DLG data.
    Although a standard DRG is an effective mapping tool, its full
    potential for digital production is realized in combination with
    other digital data""")

themeKeywords = ["digital elevation model", "DEM",
    "digital terrain model", "contour line", "digital contours",
    "DOQ", "digital orthophoto", "digital orthophotoquad",
    "digital image map", "aerial photograph", "paper map", "map",
    "digital line graph", "U.S. Public Land Survey System",
    "hydrography", "transportation", "topographic",
    "Universal Transverse Mercator", "UTM", "scanner", "raster",
    "digital image"]

constantPlaceKeywords = ["US", "United States"]

temporalKeywords = ["true ground conditions"]

originators = ["U.S. Geological Survey", "USGS",
    "Stephen P. Teale Data Center"]

buckets = {

"adl:geographic-locations" : UT.Bucket(
    "spatial",
    UT.standardSpatialOperators,
    P.Adaptor_Constant(
        "tag:fgdc.gov,2003:csdgm/1.5.1",
        P.Spatial_BoxCoordinatesNoCrossing(
            "ingest",
            "ocode",
            "n_b_coord",
            "s_b_coord",
            "e_b_coord",
            "w_b_coord",
            UT.Cardinality("1")))),

"adl:dates" : UT.Bucket(
    "temporal",
    UT.standardTemporalOperators,
    P.Adaptor_Constant(
        "tag:fgdc.gov,2003:csdgm/1.3/9.1.1",
        P.Temporal_IntegerYear(
            "ingest",
            "ocode",
            "year",
            UT.Cardinality("1")))),

"adl:types" : UT.Bucket(
    "hierarchical",
    UT.standardHierarchicalOperators,
    P.Adaptor_Constant(
        "tag:fgdc.gov,2003:csdgm/1.1/8.6",
        P.Hierarchical_Constant(
            "ingest",
            "ocode",
            "ADL Object Type Thesaurus",
            ["cartographic works", "maps"],
            UT.Cardinality("1")))),

"adl:formats" : UT.Bucket(
    "hierarchical",
    UT.standardHierarchicalOperators,
    P.Adaptor_Constant(
        "tag:fgdc.gov,2003:csdgm/6.4.2.1.1",
        P.Hierarchical_Constant(
            "ingest",
            "ocode",
            "ADL Object Format Thesaurus",
            ["Online", "Image", "TIFF"],
            UT.Cardinality("1")))),

"adl:subject-related-text" : UT.Bucket(
    "textual",
    UT.standardTextualOperators,
    P.Adaptor_Concatenation({
        "tag:fgdc.gov,2003:csdgm/1.2.1" :     # ABSTRACT
        P.Textual_Constant(
            "ingest",
            "ocode",
            UT.Cardinality("1"),
            abstract),
        "tag:fgdc.gov,2003:csdgm/1.2.2" :     # PURPOSE
        P.Textual_Constant(
            "ingest",
            "ocode",
            UT.Cardinality("1"),
            purpose),
        "tag:fgdc.gov,2003:csdgm/1.1/8.4" :   # TITLE
        P.Textual_LikeSubstring(
            "ingest",
            "ocode",
            "title",
            UT.Cardinality("1"),
            P.TextUtils.mappings.uppercaseAlphanumericOthersToWhitespace,
            P.TextUtils.deleteLists.keepAll,
            "UPPER"),
        "tag:fgdc.gov,2003:csdgm/1.6.1.2" :   # ASSIGNED TERMS...
        P.Textual_Constant(
            "ingest",
            "ocode",
            UT.Cardinality("1"),
            themeKeywords),
        "tag:fgdc.gov,2003:csdgm/1.6.2.2" :
        P.Adaptor_Concatenation({
            "constants" :
            P.Textual_Constant(
                "ingest",
                "ocode",
                UT.Cardinality("1"),
                constantPlaceKeywords),
            "mapname" :
            P.Textual_LikeSubstring(
                "ingest",
                "ocode",
                "mapname",
                UT.Cardinality("1")),
            "state" :
            P.Textual_LikeSubstring(
                "ingest",
                "ocode",
                "state",
                UT.Cardinality("1"))}),
        "tag:fgdc.gov,2003:csdgm/1.6.4.2" :
        P.Textual_Constant(
            "ingest",
            "ocode",
            UT.Cardinality("1"),
            temporalKeywords)})),

"adl:titles" : UT.Bucket(
    "textual",
    UT.standardTextualOperators,
    P.Adaptor_Constant(
        "tag:fgdc.gov,2003:csdgm/1.1/8.4",
        P.Textual_LikeSubstring(
            "ingest",
            "ocode",
            "title",
            UT.Cardinality("1"),
            P.TextUtils.mappings.uppercaseAlphanumericOthersToWhitespace,
            P.TextUtils.deleteLists.keepAll,
            "UPPER"))),

"adl:assigned-terms" : UT.Bucket(
    "textual",
    UT.standardTextualOperators,
    P.Adaptor_Concatenation({
        "tag:fgdc.gov,2003:csdgm/1.6.1.2" :
        P.Textual_Constant(
            "ingest",
            "ocode",
            UT.Cardinality("1"),
            themeKeywords),
        "tag:fgdc.gov,2003:csdgm/1.6.2.2" :
        P.Adaptor_Concatenation({
            "constants" :
            P.Textual_Constant(
                "ingest",
                "ocode",
                UT.Cardinality("1"),
                constantPlaceKeywords),
            "mapname" :
            P.Textual_LikeSubstring(
                "ingest",
                "ocode",
                "mapname",
                UT.Cardinality("1")),
            "state" :
            P.Textual_LikeSubstring(
                "ingest",
                "ocode",
                "state",
                UT.Cardinality("1"))}),
        "tag:fgdc.gov,2003:csdgm/1.6.4.2" :
        P.Textual_Constant(
            "ingest",
            "ocode",
            UT.Cardinality("1"),
            temporalKeywords)})),

"adl:originators" : UT.Bucket(
    "textual",
    UT.standardTextualOperators,
    P.Adaptor_Constant(
        "tag:fgdc.gov,2003:csdgm/1.1/8.1",
        P.Textual_Constant(
            "ingest",
            "ocode",
            UT.Cardinality("1"),
            originators))),

"adl:identifiers" : UT.Bucket(
    "identification",
    UT.standardIdentificationOperators,
    P.Identification_String(
        "ingest",
        "ocode",
        "ocode",
        ["USGS DRG ocode"],
        UT.Cardinality("1")))

}

translator = UT.Translator(buckets)

def translate ():
    return translator.translate(constraint, vocabularies)