def oaimodstodpla(body, ctype, geoprop=None, provider=None):
"""
Convert output of JSON-ified OAI MODS format into the DPLA JSON-LD format.
Parameter "geoprop" specifies the property name containing lat/long coords
"""
try :
data = json.loads(body)
except:
response.code = 500
response.add_header("content-type","text/plain")
return "Unable to parse body as JSON"
global GEOPROP
GEOPROP = geoprop
out = {
"@context": CONTEXT,
"sourceResource": {}
}
if provider == "BPL":
data = remove_key_prefix(data, "mods:")
# Apply all transformation rules from original document
transformer_pipeline = {}
transformer_pipeline.update(CHO_TRANSFORMER.get(provider, {}),
**CHO_TRANSFORMER["common"])
for p in transformer_pipeline:
if exists(data, p):
out["sourceResource"].update(transformer_pipeline[p](data, p))
transformer_pipeline = {}
transformer_pipeline.update(AGGREGATION_TRANSFORMER.get(provider, {}),
**AGGREGATION_TRANSFORMER["common"])
for p in transformer_pipeline:
if exists(data, p):
out.update(transformer_pipeline[p](data, p))
# Apply transformations that are dependent on more than one
# original document field
if provider == "HARVARD":
out["sourceResource"].update(identifier_transform_harvard(data))
out.update(url_transform_harvard(data))
out.update(data_provider_transform_harvard(data))
# Join dataProvider with isPartOf for BPL
if provider == "BPL":
try:
ipo = getprop(out, "dataProvider") + ". " + \
getprop(out, "sourceResource/isPartOf")
setprop(out, "sourceResource/isPartOf", ipo.replace("..", "."))
except:
pass
# Strip out keys with None/null values?
out = dict((k,v) for (k,v) in out.items() if v)
return json.dumps(out)
def mods_to_dpla(body, ctype, geoprop=None, provider=None):
"""
Convert output of JSON-ified MODS/METS format into the DPLA JSON-LD format.
Parameter "geoprop" specifies the property name containing lat/long coords.
Parameter "provider" specifies the mapping dictionary.
"""
try :
data = json.loads(body)
except Exception:
response.code = 500
response.add_header('content-type','text/plain')
return "Unable to parse body as JSON"
global GEOPROP
GEOPROP = geoprop
out = {
"@context": CONTEXT,
"sourceResource" : {}
}
if provider == "UVA":
# Remove "mods:" prefix in keys
data = remove_key_prefix(data, "mods:")
# Apply all transformation rules from original document
transformer_pipeline = {}
transformer_pipeline.update(CHO_TRANSFORMER.get(provider, {}),
**CHO_TRANSFORMER["common"])
for p in transformer_pipeline:
if exists(data, p):
out["sourceResource"].update(transformer_pipeline[p](data, p))
transformer_pipeline = {}
transformer_pipeline.update(AGGREGATION_TRANSFORMER.get(provider, {}),
**AGGREGATION_TRANSFORMER["common"])
for p in transformer_pipeline:
if exists(data, p):
out.update(transformer_pipeline[p](data, p))
# Strip out keys with None/null values?
out = dict((k,v) for (k,v) in out.items() if v)
return json.dumps(out)
def oaiuntltodpla(body, ctype, geoprop=None):
"""
Convert output of JSON-ified OAI UNTL format into the DPLA JSON-LD format.
Parameter "geoprop" specifies the property name containing lat/long coords
"""
try :
data = json.loads(body)
except:
response.code = 500
response.add_header("content-type","text/plain")
return "Unable to parse body as JSON"
global GEOPROP
GEOPROP = geoprop
out = {
"@context": CONTEXT,
"sourceResource": {}
}
# Remove "untl:" prefix from data keys
data = remove_key_prefix(data, "untl:")
# Apply all transformation rules from original document
for p in CHO_TRANSFORMER:
if exists(data, p):
out["sourceResource"].update(CHO_TRANSFORMER[p](data, p))
for p in AGGREGATION_TRANSFORMER:
if exists(data, p):
out.update(AGGREGATION_TRANSFORMER[p](data, p))
# Strip out keys with None/null values?
out = dict((k,v) for (k,v) in out.items() if v)
return json.dumps(out)
