class SchemaDataPrepValidateTests(unittest.TestCase):
def setUp(self):
self.__numProc = 2
# self.__fileLimit = 200
self.__fileLimit = None
self.__mockTopPath = os.path.join(TOPDIR, "rcsb", "mock-data")
self.__cachePath = os.path.join(TOPDIR, "CACHE")
self.__configPath = os.path.join(TOPDIR, "rcsb", "db", "config", "exdb-config-example-ihm.yml")
configName = "site_info_configuration"
self.__configName = configName
self.__cfgOb = ConfigUtil(configPath=self.__configPath, defaultSectionName=configName, mockTopPath=self.__mockTopPath)
self.__mU = MarshalUtil(workPath=self.__cachePath)
#self.__schP = SchemaProvider(self.__cfgOb, self.__cachePath, useCache=False, rebuildFlag=True)
self.__schP = SchemaProvider(self.__cfgOb, self.__cachePath, useCache=True)
self.__rpP = RepositoryProvider(cfgOb=self.__cfgOb, numProc=self.__numProc, fileLimit=self.__fileLimit, cachePath=self.__cachePath)
#
self.__birdRepoPath = self.__cfgOb.getPath("BIRD_REPO_PATH", sectionName=configName)
#
self.__fTypeRow = "drop-empty-attributes|drop-empty-tables|skip-max-width|convert-iterables|normalize-enums|translateXMLCharRefs"
self.__fTypeCol = "drop-empty-tables|skip-max-width|convert-iterables|normalize-enums|translateXMLCharRefs"
self.__verbose = True
#
self.__modulePathMap = self.__cfgOb.get("DICT_METHOD_HELPER_MODULE_PATH_MAP", sectionName=configName)
self.__testDirPath = os.path.join(HERE, "test-output", "pdbx-files")
self.__testIhmDirPath = os.path.join(HERE, "test-output", "ihm-files")
self.__export = True
#
#self.__extraOpts = None
# The following for extended parent/child info -
self.__extraOpts = 'addParentRefs|addPrimaryKey'
#
self.__alldatabaseNameD = {
"ihm_dev": ["ihm_dev"],
"pdbx": ["pdbx", "pdbx_ext"],
"pdbx_core": ["pdbx_core_entity", "pdbx_core_entry", "pdbx_core_assembly", "pdbx_core_entity_instance", "pdbx_core_entity_instance_validation"],
"bird": ["bird"],
"bird_family": ["family"],
"chem_comp": ["chem_comp"],
"bird_chem_comp": ["bird_chem_comp"],
"bird_chem_comp_core": ["bird_chem_comp_core"],
}
self.__databaseNameD = {
"pdbx_core": ["pdbx_core_entity", "pdbx_core_entry", "pdbx_core_assembly", "pdbx_core_entity_instance", "pdbx_core_entity_instance_validation"],
"bird_chem_comp_core": ["bird_chem_comp_core"],
}
self.__mergeContentTypeD = {"pdbx_core": ["vrpt"]}
# self.__databaseNameD = {"chem_comp_core": ["chem_comp_core"], "bird_chem_comp_core": ["bird_chem_comp_core"]}
# self.__databaseNameD = {"ihm_dev_full": ["ihm_dev_full"]}
# self.__databaseNameD = {"pdbx_core": ["pdbx_core_entity_instance_validation"]}
# self.__databaseNameD = {"pdbx_core": ["pdbx_core_entity_monomer"]}
self.__startTime = time.time()
logger.debug("Starting %s at %s", self.id(), time.strftime("%Y %m %d %H:%M:%S", time.localtime()))
def tearDown(self):
endTime = time.time()
logger.debug("Completed %s at %s (%.4f seconds)", self.id(), time.strftime("%Y %m %d %H:%M:%S", time.localtime()), endTime - self.__startTime)
def testValidateOptsRepo(self):
# schemaLevel = "min"
schemaLevel = "full"
inputPathList = None
eCount = self.__testValidateOpts(databaseNameD=self.__databaseNameD, inputPathList=inputPathList, schemaLevel=schemaLevel, mergeContentTypeD=self.__mergeContentTypeD)
logger.info("Total validation errors schema level %s : %d", schemaLevel, eCount)
self.assertLessEqual(eCount, 1)
@unittest.skip("Disable troubleshooting test")
def testValidateOptsList(self):
schemaLevel = "min"
inputPathList = self.__mU.doImport(os.path.join(HERE, "test-output", "failed-path.list"), "list")
# inputPathList = glob.glob(self.__testDirPath + "/*.cif")
if not inputPathList:
return True
databaseNameD = {"pdbx_core": ["pdbx_core_entity", "pdbx_core_entry", "pdbx_core_entity_instance", "pdbx_core_entity_instance_validation"]}
for ii, subList in enumerate(chunkList(inputPathList[::-1], 40)):
if ii < 5:
continue
eCount = self.__testValidateOpts(databaseNameD=databaseNameD, inputPathList=subList, schemaLevel=schemaLevel, mergeContentTypeD=self.__mergeContentTypeD)
logger.info("Chunk %d total validation errors schema level %s : %d", ii, schemaLevel, eCount)
# self.assertGreaterEqual(eCount, 20)
#@unittest.skip("Disable IHM troubleshooting test")
def testValidateOptsIhmRepo(self):
schemaLevel = "min"
inputPathList = None
self.__export = True
databaseNameD = {"ihm_dev_full": ["ihm_dev_full"]}
databaseNameD = {"ihm_dev": ["ihm_dev"]}
eCount = self.__testValidateOpts(databaseNameD=databaseNameD, inputPathList=inputPathList, schemaLevel=schemaLevel, mergeContentTypeD=self.__mergeContentTypeD)
logger.info("Total validation errors schema level %s : %d", schemaLevel, eCount)
# self.assertGreaterEqual(eCount, 20)
#
#@unittest.skip("Disable IHM troubleshooting test")
def testValidateOptsIhmList(self):
#schemaLevel = "full"
schemaLevel = "min"
inputPathList = glob.glob(self.__testIhmDirPath + "/*.cif")
if not inputPathList:
return True
#databaseNameD = {"ihm_dev_full": ["ihm_dev_full"]}
databaseNameD = {"ihm_dev": ["ihm_dev"]}
eCount = self.__testValidateOpts(databaseNameD=databaseNameD, inputPathList=inputPathList, schemaLevel=schemaLevel, mergeContentTypeD=self.__mergeContentTypeD)
logger.info("Total validation errors schema level %s : %d", schemaLevel, eCount)
# self.assertGreaterEqual(eCount, 20)
#
def __testValidateOpts(self, databaseNameD, inputPathList=None, schemaLevel="full", mergeContentTypeD=None):
#
eCount = 0
for databaseName in databaseNameD:
mergeContentTypes = mergeContentTypeD[databaseName] if databaseName in mergeContentTypeD else None
_ = self.__schP.makeSchemaDef(databaseName, dataTyping="ANY", saveSchema=True)
pthList = inputPathList if inputPathList else self.__rpP.getLocatorObjList(databaseName, mergeContentTypes=mergeContentTypes)
for collectionName in databaseNameD[databaseName]:
cD = self.__schP.makeSchema(databaseName, collectionName, encodingType="JSON", level=schemaLevel, saveSchema=True, extraOpts=self.__extraOpts)
#
dL, cnL = self.__testPrepDocumentsFromContainers(
pthList, databaseName, collectionName, styleType="rowwise_by_name_with_cardinality", mergeContentTypes=mergeContentTypes
)
# Raises exceptions for schema compliance.
try:
Draft4Validator.check_schema(cD)
except Exception as e:
logger.error("%s %s schema validation fails with %s", databaseName, collectionName, str(e))
#
valInfo = Draft4Validator(cD, format_checker=FormatChecker())
logger.info("Validating %d documents from %s %s", len(dL), databaseName, collectionName)
for ii, dD in enumerate(dL):
logger.debug("Schema %s collection %s document %d", databaseName, collectionName, ii)
try:
cCount = 0
#for error in sorted(valInfo.iter_errors(dD), key=str):
# logger.info("schema %s collection %s (%s) path %s error: %s", databaseName, collectionName, cnL[ii], error.path, error.message)
# logger.debug("Failing document %d : %r", ii, list(dD.items()))
# eCount += 1
# cCount += 1
#if cCount > 0:
# logger.info("schema %s collection %s container %s error count %d", databaseName, collectionName, cnL[ii], cCount)
except Exception as e:
logger.exception("Validation processing error %s", str(e))
return eCount
def __testPrepDocumentsFromContainers(self, inputPathList, databaseName, collectionName, styleType="rowwise_by_name_with_cardinality", mergeContentTypes=None):
"""Test case - create loadable PDBx data from repository files
"""
try:
sd, _, _, _ = self.__schP.getSchemaInfo(databaseName)
#
dP = DictionaryApiProviderWrapper(self.__cfgOb, self.__cachePath, useCache=False)
dictApi = dP.getApiByName(databaseName)
rP = DictMethodResourceProvider(self.__cfgOb, configName=self.__configName, cachePath=self.__cachePath, siftsAbbreviated="TEST")
dmh = DictMethodRunner(dictApi, modulePathMap=self.__modulePathMap, resourceProvider=rP)
#
dtf = DataTransformFactory(schemaDefAccessObj=sd, filterType=self.__fTypeRow)
sdp = SchemaDefDataPrep(schemaDefAccessObj=sd, dtObj=dtf, workPath=self.__cachePath, verbose=self.__verbose)
containerList = self.__rpP.getContainerList(inputPathList)
for container in containerList:
cName = container.getName()
logger.debug("Processing container %s", cName)
dmh.apply(container)
if self.__export:
savePath = os.path.join(HERE, "test-output", cName + "-with-method.cif")
#self.__mU.doExport(savePath, [container], fmt="mmcif")
#
tableIdExcludeList = sd.getCollectionExcluded(collectionName)
tableIdIncludeList = sd.getCollectionSelected(collectionName)
sliceFilter = sd.getCollectionSliceFilter(collectionName)
sdp.setSchemaIdExcludeList(tableIdExcludeList)
sdp.setSchemaIdIncludeList(tableIdIncludeList)
#
docList, containerNameList, _ = sdp.processDocuments(
containerList, styleType=styleType, filterType=self.__fTypeRow, dataSelectors=["PUBLIC_RELEASE"], sliceFilter=sliceFilter, collectionName=collectionName
)
docList = sdp.addDocumentPrivateAttributes(docList, collectionName)
docList = sdp.addDocumentSubCategoryAggregates(docList, collectionName)
#
mergeS = "-".join(mergeContentTypes) if mergeContentTypes else ""
if self.__export and docList:
# for ii, doc in enumerate(docList[:1]):
for ii, doc in enumerate(docList):
cn = containerNameList[ii]
fp = os.path.join(HERE, "test-output", "prep-%s-%s-%s-%s.json" % (cn, databaseName, collectionName, mergeS))
self.__mU.doExport(fp, [doc], fmt="json", indent=3)
logger.debug("Exported %r", fp)
#
return docList, containerNameList
except Exception as e:
logger.exception("Failing with %s", str(e))
self.fail()
class SchemaDefDataPrepTests(unittest.TestCase):
def __init__(self, methodName="runTest"):
super(SchemaDefDataPrepTests, self).__init__(methodName)
self.__loadPathList = []
self.__verbose = True
def setUp(self):
self.__numProc = 2
self.__fileLimit = 100
mockTopPath = os.path.join(TOPDIR, "rcsb", "mock-data")
self.__cachePath = os.path.join(TOPDIR, "CACHE")
self.__outputPath = os.path.join(HERE, "test-output")
self.__savedOutputPath = os.path.join(HERE, "test-saved-output")
configPath = os.path.join(TOPDIR, "rcsb", "db", "config", "exdb-config-example.yml")
configName = "site_info_configuration"
self.__configName = configName
self.__cfgOb = ConfigUtil(configPath=configPath, defaultSectionName=configName, mockTopPath=mockTopPath)
self.__mU = MarshalUtil(workPath=self.__cachePath)
self.__schP = SchemaProvider(self.__cfgOb, self.__cachePath, useCache=True)
self.__rpP = RepositoryProvider(cfgOb=self.__cfgOb, numProc=self.__numProc, fileLimit=self.__fileLimit, cachePath=self.__cachePath)
#
#
self.__fTypeRow = "drop-empty-attributes|drop-empty-tables|skip-max-width|convert-iterables|normalize-enums|translateXMLCharRefs"
self.__fTypeCol = "drop-empty-tables|skip-max-width|convert-iterables|normalize-enums|translateXMLCharRefs"
self.__chemCompMockLen = 24
self.__pdbxMockLen = 85
# removes timestamped data items to allow diffs.)
excludeExtras = ["rcsb_load_status"]
# excludeExtras = []
#
self.__verbose = True
self.__modulePathMap = self.__cfgOb.get("DICT_METHOD_HELPER_MODULE_PATH_MAP", sectionName=configName)
#
self.__exportFlag = True
self.__diffFlag = False
#
self.__simpleTestCaseList = [
{
"contentType": "chem_comp",
"mockLength": self.__chemCompMockLen,
"filterType": self.__fTypeRow,
"styleType": "rowwise_by_name",
"mergeContentTypes": None,
"rejectLength": 2,
},
{
"contentType": "chem_comp",
"mockLength": self.__chemCompMockLen,
"filterType": self.__fTypeRow,
"styleType": "rowwise_no_name",
"mergeContentTypes": None,
"rejectLength": 2,
},
{
"contentType": "chem_comp",
"mockLength": self.__chemCompMockLen,
"filterType": self.__fTypeCol,
"styleType": "columnwise_by_name",
"mergeContentTypes": None,
"rejectLength": 2,
},
{
"contentType": "chem_comp",
"mockLength": self.__chemCompMockLen,
"filterType": self.__fTypeRow,
"styleType": "rowwise_by_name",
"mergeContentTypes": None,
"rejectLength": 2,
},
{
"contentType": "pdbx_core",
"mockLength": self.__pdbxMockLen,
"filterType": self.__fTypeRow,
"styleType": "rowwise_by_name",
"mergeContentTypes": None,
"rejectLength": 5,
},
]
#
self.__fullTestCaseList = [
{
"contentType": "pdbx_core",
"mockLength": self.__pdbxMockLen,
"filterType": self.__fTypeRow,
"styleType": "rowwise_by_name_with_cardinality",
"mergeContentTypes": ["vrpt"],
"rejectLength": 5,
"excludeExtras": excludeExtras,
},
{
"contentType": "pdbx_core",
"mockLength": self.__pdbxMockLen,
"filterType": self.__fTypeRow,
"styleType": "rowwise_by_name_with_cardinality",
"mergeContentTypes": None,
"rejectLength": 5,
"excludeExtras": excludeExtras,
},
{
"contentType": "bird_chem_comp_core",
"mockLength": self.__chemCompMockLen,
"filterType": self.__fTypeRow,
"styleType": "rowwise_by_name_with_cardinality",
"mergeContentTypes": None,
"rejectLength": 2,
"excludeExtras": excludeExtras,
},
]
#
self.__fullTestCaseListA = [
{
"contentType": "pdbx_core",
"mockLength": self.__pdbxMockLen,
"filterType": self.__fTypeRow,
"styleType": "rowwise_by_name_with_cardinality",
"mergeContentTypes": ["vrpt"],
"rejectLength": 5,
"excludeExtras": excludeExtras,
},
]
#
self.__startTime = time.time()
logger.debug("Starting %s at %s", self.id(), time.strftime("%Y %m %d %H:%M:%S", time.localtime()))
def tearDown(self):
endTime = time.time()
logger.debug("Completed %s at %s (%.4f seconds)", self.id(), time.strftime("%Y %m %d %H:%M:%S", time.localtime()), endTime - self.__startTime)
def __timeStep(self, msg):
endTime = time.time()
logger.info("Completed %s at %s (%.4f seconds)", msg, time.strftime("%Y %m %d %H:%M:%S", time.localtime()), endTime - self.__startTime)
def testSimpleSchemaDefDataPrep(self):
for tcD in self.__simpleTestCaseList:
self.__simpleSchemaDataPrep(
tcD["contentType"], tcD["filterType"], tcD["styleType"], tcD["mockLength"], rejectLength=tcD["rejectLength"], mergeContentTypes=tcD["mergeContentTypes"]
)
def testFullSchemaDefDataPrep(self):
for tcD in self.__fullTestCaseList:
self.__fullSchemaDataPrep(
tcD["contentType"],
tcD["filterType"],
tcD["styleType"],
tcD["mockLength"],
rejectLength=tcD["rejectLength"],
mergeContentTypes=tcD["mergeContentTypes"],
excludeExtras=tcD["excludeExtras"],
)
def __simpleSchemaDataPrep(self, contentType, filterType, styleType, mockLength, rejectLength=0, dataSelectors=None, mergeContentTypes=None):
"""Internal method for preparing file-based data NOT requiring dynamic methods, slicing, or key injection.
Args:
contentType (str): Content type name
filterType (str): List of data processing options (separated by '|') (e.g. "drop-empty-attributes|drop-empty-tables|skip-max-width|...)
styleType (str): organization of output document (e.g. rowise-by-name)
mockLength (int): Expected length of the test data for the input content type
rejectLength (int, optional): number of input data sets rejected by the dataselection criteria. Defaults to 0.
dataSelectors (list of str, optional): data selection criteria. Defaults to None.
mergeContentTypes (list of str, optional): list content types to merge with the input data set. Defaults to None. (e.g. ['vrpt'])
"""
try:
dataSelectors = dataSelectors if dataSelectors else ["PUBLIC_RELEASE"]
dD = self.__schP.makeSchemaDef(contentType, dataTyping="ANY", saveSchema=True)
_ = SchemaDefAccess(dD)
inputPathList = self.__rpP.getLocatorObjList(contentType=contentType, mergeContentTypes=mergeContentTypes)
sd, _, _, _ = self.__schP.getSchemaInfo(databaseName=contentType, dataTyping="ANY")
dtf = DataTransformFactory(schemaDefAccessObj=sd, filterType=filterType)
sdp = SchemaDefDataPrep(schemaDefAccessObj=sd, dtObj=dtf, workPath=self.__cachePath, verbose=self.__verbose)
#
logger.debug("For %s mock length %d length of path list %d\n", contentType, mockLength, len(inputPathList))
self.assertEqual(len(inputPathList), mockLength)
tableDataDictList, containerNameList, rejectList = sdp.fetchDocuments(inputPathList, styleType=styleType, filterType=filterType, dataSelectors=dataSelectors)
logger.debug("For %s mock length %d reject length %d length of tddl list %d\n", contentType, mockLength, rejectLength, len(tableDataDictList))
self.assertEqual(len(tableDataDictList), mockLength - rejectLength)
self.assertEqual(len(containerNameList), mockLength - rejectLength)
if rejectList:
logger.debug("For %s rejecting components %r", contentType, rejectList)
#
self.assertEqual(len(rejectList), rejectLength)
fName = "simple-prep-%s-%s.json" % (contentType, styleType)
if self.__exportFlag:
fPath = os.path.join(self.__outputPath, fName)
self.__mU.doExport(fPath, tableDataDictList, fmt="json", indent=3)
if self.__diffFlag:
fPath = os.path.join(self.__savedOutputPath, fName)
refDocList = self.__mU.doImport(fPath, fmt="json")
self.assertEqual(len(refDocList), len(tableDataDictList))
#
jD = diff(refDocList, tableDataDictList, syntax="explicit", marshal=True)
if jD:
_, fn = os.path.split(fPath)
bn, _ = os.path.splitext(fn)
fPath = os.path.join(self.__outputPath, bn + "-diff.json")
logger.debug("jsondiff for %s %s = \n%s", contentType, styleType, pprint.pformat(jD, indent=3, width=100))
self.__mU.doExport(fPath, jD, fmt="json", indent=3)
self.assertEqual(len(jD), 0)
except Exception as e:
logger.exception("Failing with %s", str(e))
self.fail()
def __logDocumentOrder(self, docList):
for doc in docList:
logger.debug("keys %r", list(doc.keys()))
def __filterDocuments(self, docList, excludeList=None):
excludeList = excludeList if excludeList else []
for doc in docList:
for excl in excludeList:
if excl in doc:
del doc[excl]
def __fullSchemaDataPrep(self, contentType, filterType, styleType, mockLength, rejectLength=0, dataSelectors=None, mergeContentTypes=None, excludeExtras=None):
"""Internal method for preparing file-based data requiring dynamic methods, slicing, or key injection.
Args:
contentType (str): Content type name
filterType (str): List of data processing options (separated by '|') (e.g. "drop-empty-attributes|drop-empty-tables|skip-max-width|...)
styleType (str): organization of output document (e.g. rowise-by-name)
mockLength (int): Expected length of the test data for the input content type
rejectLength (int, optional): number of input data sets rejected by the dataselection criteria. Defaults to 0.
dataSelectors (list of str, optional): data selection criteria. Defaults to None.
mergeContentTypes (list of str, optional): list content types to merge with the input data set. Defaults to None. (e.g. ['vrpt'])
"""
try:
excludeExtras = excludeExtras if excludeExtras else []
_ = mockLength
_ = rejectLength
dD = self.__schP.makeSchemaDef(contentType, dataTyping="ANY", saveSchema=True)
_ = SchemaDefAccess(dD)
inputPathList = self.__rpP.getLocatorObjList(contentType=contentType, mergeContentTypes=mergeContentTypes)
sd, _, collectionNameList, _ = self.__schP.getSchemaInfo(databaseName=contentType, dataTyping="ANY")
#
dP = DictionaryApiProviderWrapper(self.__cfgOb, self.__cachePath, useCache=True)
dictApi = dP.getApiByName(contentType)
#
rP = DictMethodResourceProvider(self.__cfgOb, configName=self.__configName, cachePath=self.__cachePath, siftsAbbreviated="TEST")
dmh = DictMethodRunner(dictApi, modulePathMap=self.__modulePathMap, resourceProvider=rP)
#
dtf = DataTransformFactory(schemaDefAccessObj=sd, filterType=filterType)
sdp = SchemaDefDataPrep(schemaDefAccessObj=sd, dtObj=dtf, workPath=self.__cachePath, verbose=self.__verbose)
containerList = self.__rpP.getContainerList(inputPathList)
for container in containerList:
cName = container.getName()
logger.debug("Processing container %s", cName)
dmh.apply(container)
#
for collectionName in collectionNameList:
tableIdExcludeList = sd.getCollectionExcluded(collectionName)
tableIdIncludeList = sd.getCollectionSelected(collectionName)
sliceFilter = sd.getCollectionSliceFilter(collectionName)
sdp.setSchemaIdExcludeList(tableIdExcludeList)
sdp.setSchemaIdIncludeList(tableIdIncludeList)
#
docList, _, _ = sdp.processDocuments(
containerList, styleType=styleType, sliceFilter=sliceFilter, filterType=filterType, dataSelectors=dataSelectors, collectionName=collectionName
)
docList = sdp.addDocumentPrivateAttributes(docList, collectionName)
docList = sdp.addDocumentSubCategoryAggregates(docList, collectionName)
# Special exclusions for the test harness. (removes timestamped data items to allow diffs.)
self.__filterDocuments(docList, excludeExtras)
mergeS = "-".join(mergeContentTypes) if mergeContentTypes else ""
fName = "full-prep-%s-%s-%s-%s.json" % (contentType, collectionName, mergeS, styleType)
if self.__exportFlag:
self.__logDocumentOrder(docList)
fPath = os.path.join(self.__outputPath, fName)
self.__mU.doExport(fPath, docList, fmt="json", indent=3)
logger.debug("Exported %r", fPath)
#
if self.__diffFlag:
fPath = os.path.join(self.__savedOutputPath, fName)
refDocList = self.__mU.doImport(fPath, fmt="json")
self.assertEqual(len(refDocList), len(docList))
logger.debug("For %s %s len refDocList %d", contentType, collectionName, len(refDocList))
logger.debug("For %s %s len docList %d", contentType, collectionName, len(docList))
jD = diff(refDocList, docList, syntax="explicit", marshal=True)
if jD:
_, fn = os.path.split(fPath)
bn, _ = os.path.splitext(fn)
fPath = os.path.join(self.__outputPath, bn + "-diff.json")
logger.debug("jsondiff for %s %s = \n%s", contentType, collectionName, pprint.pformat(jD, indent=3, width=100))
self.__mU.doExport(fPath, jD, fmt="json", indent=3)
self.assertEqual(len(jD), 0)
except Exception as e:
logger.exception("Failing with %s", str(e))
self.fail()
class ScanRepoUtil(object):
"""Tools for for scanning repositories and collecting coverage and type data information.
"""
def __init__(self,
cfgOb,
attributeDataTypeD=None,
numProc=4,
chunkSize=15,
fileLimit=None,
maxStepLength=2000,
workPath=None):
"""
Args:
cfgOb (object): Configuration object (ConfigUtil)
attributeDataTypeD
dictPath (str): Path to supporting data dictionary
numProc (int, optional): Number of parallel worker processes used.
chunkSize (int, optional): Size of files processed in a single multi-proc process
fileLimit (int, optional): maximum file scanned or None for no limit
mockTopPath (str, optional): Path to directory containing mock repositories or None
maxStepLength (int, optional): maximum number of multi-proc runs to perform
"""
#
self.__attributeDataTypeD = attributeDataTypeD if attributeDataTypeD else {}
# Limit the load length of each file type for testing - Set to None to remove -
self.__fileLimit = fileLimit
self.__maxStepLength = maxStepLength
#
# Controls for multiprocessing execution -
self.__numProc = numProc
self.__chunkSize = chunkSize
#
self.__cfgOb = cfgOb
#
self.__mpFormat = "[%(levelname)s] %(asctime)s %(processName)s-%(module)s.%(funcName)s: %(message)s"
self.__workPath = workPath
self.__mU = MarshalUtil(workPath=self.__workPath)
self.__rpP = RepositoryProvider(self.__cfgOb,
numProc=self.__numProc,
fileLimit=self.__fileLimit,
cachePath=self.__workPath)
def scanContentType(self,
contentType,
mergeContentTypes=None,
scanType="full",
inputPathList=None,
scanDataFilePath=None,
failedFilePath=None,
saveInputFileListPath=None):
"""Driver method for repository scan operation
Args:
contentType (str): one of 'bird','bird_family','bird_chem_comp', chem_comp','pdbx'
scanType (str, optional): 'full' [or 'incr' to be supported]
inputPathList (list, optional): list of input file paths to scan
scanDataFilePath (str, optional): file path for serialized scan data (Pickle format)
failedFilePath (str, optional): file path for list of files that fail scanning operation
saveInputFileListPath str, optional): Path to store file path list that is scanned
Returns:
bool: True for success or False otherwise
"""
try:
startTime = self.__begin(message="scanning operation")
#
locatorObjList = self.__rpP.getLocatorObjList(
contentType=contentType,
inputPathList=inputPathList,
mergeContentTypes=mergeContentTypes)
#
if saveInputFileListPath:
self.__mU.doExport(saveInputFileListPath,
self.__rpP.getLocatorPaths(locatorObjList),
fmt="list")
logger.debug("Saving %d paths in %s", len(locatorObjList),
saveInputFileListPath)
#
optD = {}
optD["contentType"] = contentType
optD["logSize"] = True
optD["scanType"] = scanType
# ---------------- - ---------------- - ---------------- - ---------------- - ---------------- -
#
numProc = self.__numProc
chunkSize = self.__chunkSize if locatorObjList and self.__chunkSize < len(
locatorObjList) else 0
#
# ---------------- - ---------------- - ---------------- - ---------------- - ---------------- -
numPaths = len(locatorObjList)
logger.debug("Processing %d total paths", numPaths)
numProc = min(numProc, numPaths)
maxStepLength = self.__maxStepLength
if numPaths > maxStepLength:
numLists = int(numPaths / maxStepLength)
subLists = [
locatorObjList[i::numLists] for i in range(numLists)
]
else:
subLists = [locatorObjList]
#
if subLists:
logger.debug(
"Starting with numProc %d outer subtask count %d subtask length ~ %d",
numProc, len(subLists), len(subLists[0]))
#
numResults = 1
failList = []
retLists = [[] for ii in range(numResults)]
diagList = []
for ii, subList in enumerate(subLists):
logger.debug("Running outer subtask %d or %d length %d",
ii + 1, len(subLists), len(subList))
#
mpu = MultiProcUtil(verbose=True)
mpu.setOptions(optionsD=optD)
mpu.set(workerObj=self, workerMethod="scanWorker")
ok, failListT, retListsT, diagListT = mpu.runMulti(
dataList=subList,
numProc=numProc,
numResults=numResults,
chunkSize=chunkSize)
failList.extend(failListT)
# retLists is a list of lists -
for _ in range(numResults):
retLists[ii].extend(retListsT[ii])
diagList.extend(diagListT)
logger.debug("Scan failed path list %r", failList)
logger.debug(
"Scan path list success length %d load list failed length %d",
len(locatorObjList), len(failList))
logger.debug("Returned metadata length %r", len(retLists[0]))
#
if failedFilePath and failList:
wOk = self.__mU.doExport(failedFilePath,
self.__rpP.getLocatorPaths(failList),
fmt="list")
logger.debug("Writing scan failure path list to %s status %r",
failedFilePath, wOk)
#
if scanType == "incr":
scanDataD = self.__mU.doImport(scanDataFilePath,
fmt="pickle",
default=None)
logger.debug("Imported scan data with keys %r",
list(scanDataD.keys()))
else:
scanDataD = {}
#
if scanDataFilePath and retLists[0]:
for ssTup in retLists[0]:
cId = ssTup.containerId
if scanType == "full" and cId in scanDataD:
logger.error("Duplicate container id %s in %r and %r",
cId, ssTup.fromPath,
scanDataD[cId].fromPath)
#
scanDataD[cId] = ssTup
ok = self.__mU.doExport(scanDataFilePath,
scanDataD,
fmt="pickle")
tscanDataD = self.__mU.doImport(scanDataFilePath, fmt="pickle")
ok = tscanDataD == scanDataD
self.__end(startTime, "scanning operation with status " + str(ok))
#
return ok
except Exception as e:
logger.exception("Failing with %s", str(e))
return False
def evalScan(self,
scanDataFilePath,
evalJsonFilePath,
evalType="data_type"):
scanDataD = self.__mU.doImport(scanDataFilePath, fmt="pickle")
if evalType in ["data_type"]:
rD = self.__evalScanDataType(scanDataD)
elif evalType in ["data_coverage"]:
rD = self.__evalScanDataCoverage(scanDataD)
else:
logger.debug("Unknown evalType %r", evalType)
ok = self.__mU.doExport(evalJsonFilePath, rD, fmt="json")
return ok
def __evalScanDataType(self, scanDataD):
"""
ScanValue = collections.namedtuple('ScanValue', 'containerId, catName, atName, minWidth, maxWidth, minPrec, maxPrec')
ScanSummary = collections.namedtuple('ScanSummary', 'containerId, fromPath, scanDate, scanCategoryDict')
"""
# for populated sD[category] -> d[atName]->{minWidth: , maxWidth:, minPrec:, maxPrec: , count}
sD = {}
for cId in scanDataD:
ssTup = scanDataD[cId]
dD = ssTup.scanCategoryDict
for catName in dD:
if catName not in sD:
sD[catName] = {}
for svTup in dD[catName]:
if svTup.atName not in sD[catName]:
sD[catName][svTup.atName] = {
"minWidth": svTup.minWidth,
"maxWidth": svTup.maxWidth,
"minPrec": svTup.minPrec,
"maxPrec": svTup.maxPrec,
"count": 1
}
continue
sD[catName][svTup.atName]["minWidth"] = min(
sD[catName][svTup.atName]["minWidth"], svTup.minWidth)
sD[catName][svTup.atName]["maxWidth"] = max(
sD[catName][svTup.atName]["maxWidth"], svTup.maxWidth)
sD[catName][svTup.atName]["minPrec"] = min(
sD[catName][svTup.atName]["minPrec"], svTup.minPrec)
sD[catName][svTup.atName]["maxPrec"] = max(
sD[catName][svTup.atName]["maxPrec"], svTup.maxPrec)
sD[catName][svTup.atName]["count"] += 1
return sD
def __evalScanDataCoverage(self, scanDataD):
"""
ScanValue = collections.namedtuple('ScanValue', 'containerId, catName, atName, minWidth, maxWidth, minPrec, maxPrec')
ScanSummary = collections.namedtuple('ScanSummary', 'containerId, fromPath, scanDate, scanCategoryDict')
"""
# for populated sD[category] -> d[atName]->{count: #, instances: [id,id,id]}
sD = {}
for cId in scanDataD:
ssTup = scanDataD[cId]
dD = ssTup.scanCategoryDict
for catName in dD:
if catName not in sD:
sD[catName] = {}
for svTup in dD[catName]:
if svTup.atName not in sD[catName]:
sD[catName][svTup.atName] = {
"count": 0,
"instances": []
}
sD[catName][svTup.atName]["instances"].append(
svTup.containerId)
sD[catName][svTup.atName]["count"] += 1
return sD
def scanWorker(self, dataList, procName, optionsD, workingDir):
""" Multi-proc worker method for scanning repository data files-
"""
try:
_ = workingDir
startTime = self.__begin(message=procName)
# Recover common options
scanType = optionsD["scanType"]
contentType = optionsD["contentType"]
#
successList = []
retList = []
containerList = self.__getContainerList(dataList)
for container in containerList:
ret = self.__scanContainer(container)
successList.append(ret.fromPath)
retList.append(ret)
#
logger.debug(
"%s scanType %s contentType %spathlist length %d containerList length %d",
procName, scanType, contentType, len(dataList),
len(containerList))
ok = len(successList) == len(dataList)
#
self.__end(startTime, procName + " with status " + str(ok))
return successList, retList, []
except Exception as e:
logger.error("Failing with dataList %r", dataList)
logger.exception("Failing with %s", str(e))
return [], [], []
def __getContainerList(self, locatorObjList):
"""
"""
utcnow = datetime.datetime.utcnow()
ts = utcnow.strftime("%Y-%m-%d:%H:%M:%S")
cL = []
myContainerList = self.__rpP.getContainerList(locatorObjList)
for loc in locatorObjList:
myContainerList = self.__rpP.getContainerList([loc])
lPathL = self.__rpP.getLocatorPaths([loc])
for cA in myContainerList:
dc = DataCategory("rcsb_load_status",
["name", "load_date", "locator"],
[[cA.getName(), ts, lPathL[0]]])
logger.debug("data category %r", dc)
cA.append(dc)
cL.append(cA)
return cL
def __scanContainer(self, container):
""" Scan the input container for
Get the file name -
"""
cName = container.getName()
loadStatusObj = container.getObj("rcsb_load_status")
lName = loadStatusObj.getValue(attributeName="name", rowIndex=0)
lFilePath = loadStatusObj.getValue(attributeName="locator", rowIndex=0)
lDate = loadStatusObj.getValue(attributeName="load_date", rowIndex=0)
#
oD = {}
for objName in container.getObjNameList():
if objName == "rcsb_load_status":
continue
obj = container.getObj(objName)
afD = self.__attributeDataTypeD[
objName] if objName in self.__attributeDataTypeD else {}
atNameList = obj.getAttributeList()
wMin = {atName: 100000 for atName in atNameList}
wMax = {atName: -1 for atName in atNameList}
pMin = {atName: 100000 for atName in atNameList}
pMax = {atName: -1 for atName in atNameList}
for row in obj.getRowList():
for ii, val in enumerate(row):
valLen = len(val)
if (valLen == 0) or (val == "?") or (val == "."):
continue
atName = atNameList[ii]
wMin[atName] = min(wMin[atName], valLen)
wMax[atName] = max(wMax[atName], valLen)
if atName in afD and afD[atName] == "float":
vPrec = 0
try:
fields = val.split(".")
vPrec = len(fields[1])
pMin[atName] = min(pMin[atName], vPrec)
pMax[atName] = max(pMax[atName], vPrec)
except Exception as e:
logger.debug("Failed to process float %s %r %r %s",
atName, val, vPrec, str(e))
pMin[atName] = 0
pMax[atName] = 0
logger.debug("Got float for %s %r %r", atName, val,
vPrec)
else:
pMin[atName] = 0
pMax[atName] = 0
# ScanValue - containerId, catName, atName, minWidth, maxWidth, minPrec, maxPrec
oD[objName] = [
ScanValue(cName, objName, atN, wMin[atN], wMax[atN], pMin[atN],
pMax[atN]) for atN in wMax if wMax[atN] != -1
]
# ScanSummary containerId, fromPath, scanCategoryDict
#
ret = ScanSummary(lName, lFilePath, lDate, oD)
#
return ret
def __begin(self, message=""):
startTime = time.time()
ts = time.strftime("%Y %m %d %H:%M:%S", time.localtime())
logger.debug("Starting %s at %s", message, ts)
return startTime
def __end(self, startTime, message=""):
endTime = time.time()
ts = time.strftime("%Y %m %d %H:%M:%S", time.localtime())
delta = endTime - startTime
logger.debug("Completed %s at %s (%.4f seconds)", message, ts, delta)
class SchemaDefLoader(object):
""" Map PDBx/mmCIF instance data to SQL loadable data using external schema definition.
"""
def __init__(self, cfgOb, schemaDefObj, cfgSectionName="site_info_configuration", dbCon=None, cachePath=".", workPath=".", cleanUp=False, warnings="default", verbose=True):
self.__verbose = verbose
self.__debug = False
self.__cfgOb = cfgOb
sectionName = cfgSectionName
self.__sD = schemaDefObj
#
self.__dbCon = dbCon
self.__cachePath = cachePath
self.__workPath = workPath
self.__pathList = []
self.__cleanUp = cleanUp
#
self.__colSep = "&##&\t"
self.__rowSep = "$##$\n"
#
#
self.__fTypeRow = "skip-max-width"
self.__fTypeCol = "skip-max-width"
#
self.__warningAction = warnings
dtf = DataTransformFactory(schemaDefAccessObj=self.__sD, filterType=self.__fTypeRow)
self.__sdp = SchemaDefDataPrep(schemaDefAccessObj=self.__sD, dtObj=dtf, workPath=self.__cachePath, verbose=self.__verbose)
self.__rpP = RepositoryProvider(cfgOb=self.__cfgOb, cachePath=self.__cachePath)
#
schemaName = self.__sD.getName()
modulePathMap = self.__cfgOb.get("DICT_METHOD_HELPER_MODULE_PATH_MAP", sectionName=sectionName)
dP = DictionaryApiProviderWrapper(self.__cfgOb, self.__cachePath, useCache=True)
dictApi = dP.getApiByName(schemaName)
rP = DictMethodResourceProvider(self.__cfgOb, cachePath=self.__cachePath)
self.__dmh = DictMethodRunner(dictApi, modulePathMap=modulePathMap, resourceProvider=rP)
def setWarning(self, action):
if action in ["error", "ignore", "default"]:
self.__warningAction = action
return True
else:
self.__warningAction = "default"
return False
def setDelimiters(self, colSep=None, rowSep=None):
""" Set column and row delimiters for intermediate data files used for
batch-file loading operations.
"""
self.__colSep = colSep if colSep is not None else "&##&\t"
self.__rowSep = rowSep if rowSep is not None else "$##$\n"
return True
def load(self, inputPathList=None, containerList=None, loadType="batch-file", deleteOpt=None, tableIdSkipD=None):
""" Load data for each table defined in the current schema definition object.
Data are extracted from the input file list.
Data source options:
inputPathList = [<full path of target input file>, ....]
or
containerList = [ data container, ...]
loadType = ['batch-file' | 'batch-insert']
deleteOpt = 'selected' | 'all'
tableIdSkipD - searchable container with tableIds to be skipped on loading -
Loading is performed using the current database server connection.
Intermediate data files for 'batch-file' loading are created in the current working path.
Returns True for success or False otherwise.
"""
tableIdSkipD = tableIdSkipD if tableIdSkipD is not None else {}
if inputPathList is not None:
cL = self.__rpP.getContainerList(inputPathList)
#
# Apply dynamic methods here -
#
for cA in cL:
self.__dmh.apply(cA)
tableDataDict, containerNameList = self.__sdp.process(cL)
elif containerList is not None:
tableDataDict, containerNameList = self.__sdp.process(containerList)
#
#
if loadType in ["batch-file", "batch-file-append"]:
append = True if loadType == "batch-file-append" else False
exportList = self.__exportTdd(tableDataDict, colSep=self.__colSep, rowSep=self.__rowSep, append=append)
for tableId, loadPath in exportList:
if tableId in tableIdSkipD:
continue
self.__batchFileImport(tableId, loadPath, sqlFilePath=None, containerNameList=containerNameList, deleteOpt=deleteOpt)
if self.__cleanUp:
self.__cleanUpFile(loadPath)
return True
elif loadType == "batch-insert":
for tableId, rowList in tableDataDict.items():
if tableId in tableIdSkipD:
continue
if deleteOpt in ["all", "selected"] or rowList:
self.__batchInsertImport(tableId, rowList=rowList, containerNameList=containerNameList, deleteOpt=deleteOpt)
return True
else:
pass
return False
def __cleanUpFile(self, filePath):
try:
os.remove(filePath)
except Exception:
pass
def makeLoadFilesMulti(self, dataList, procName, optionsD, workingDir):
""" Create a loadable data file for each table defined in the current schema
definition object. Data is extracted from the input file list.
Load files are creating in the current working path.
Return the containerNames for the input path list, and path list for load files that are created.
"""
_ = workingDir
try:
pn = procName.split("-")[-1]
except Exception:
pn = procName
exportFormat = optionsD["exportFormat"] if "exportFormat" in optionsD else "tdd"
r1, r2 = self.makeLoadFiles(inputPathList=dataList, partName=pn, exportFormat=exportFormat)
return dataList, r1, r2, []
def makeLoadFiles(self, inputPathList, append=False, partName="1", exportFormat="tdd"):
""" Create a loadable data file for each table defined in the current schema
definition object. Data is extracted from the input file list.
Load files are created in the current working path.
Return the containerNames for the input path list, and path list for load files that are created.
"""
cL = self.__rpP.getContainerList(inputPathList)
for cA in cL:
self.__dmh.apply(cA)
tableDataDict, containerNameList = self.__sdp.process(cL)
if exportFormat == "tdd":
return containerNameList, self.__exportTdd(tableDataDict, colSep=self.__colSep, rowSep=self.__rowSep, append=append, partName=partName)
elif exportFormat == "csv":
return containerNameList, self.__exportCsv(tableDataDict, append=append, partName=partName)
else:
return [], []
def __exportCsv(self, tableDict, append=False, partName="1"):
"""
"""
modeOpt = "a" if append else "w"
exportList = []
for tableId, rowList in tableDict.items():
if not rowList:
continue
tObj = self.__sD.getSchemaObject(tableId)
schemaAttributeIdList = tObj.getAttributeIdList()
attributeNameList = tObj.getAttributeNameList()
#
fn = os.path.join(self.__workPath, tableId + "-" + partName + ".csv")
with open(fn, modeOpt, newline="") as ofh:
csvWriter = csv.writer(ofh)
csvWriter.writerow(attributeNameList)
for rD in rowList:
csvWriter.writerow([rD[aId] for aId in schemaAttributeIdList])
exportList.append((tableId, fn))
return exportList
def __exportTdd(self, tableDict, colSep="&##&\t", rowSep="$##$\n", append=False, partName="1"):
modeOpt = "a" if append else "w"
exportList = []
for tableId, rowList in tableDict.items():
tObj = self.__sD.getSchemaObject(tableId)
schemaAttributeIdList = tObj.getAttributeIdList()
#
if rowList:
fn = os.path.join(self.__workPath, tableId + "-" + partName + ".tdd")
ofh = open(fn, modeOpt)
for rD in rowList:
# logger.info("%r" % colSep.join([str(rD[aId]) for aId in schemaAttributeIdList]))
ofh.write("%s%s" % (colSep.join([str(rD[aId]) for aId in schemaAttributeIdList]), rowSep))
ofh.close()
exportList.append((tableId, fn))
return exportList
def loadBatchFiles(self, loadList=None, containerNameList=None, deleteOpt=None):
""" Load data for each table defined in the current schema definition object using
Data source options:
loadList = [(tableId, <full path of load file), ....]
containerNameList = [ data namecontainer, ...]
deleteOpt = 'selected' | 'all','truncate'
Loading is performed using the current database server connection.
Returns True for success or False otherwise.
"""
#
startTime = time.time()
for tableId, loadPath in loadList:
ok = self.__batchFileImport(tableId, loadPath, sqlFilePath=None, containerNameList=containerNameList, deleteOpt=deleteOpt)
if not ok:
break
if self.__cleanUp:
self.__cleanUpFile(loadPath)
#
endTime = time.time()
logger.debug("Completed with status %r at %s (%.3f seconds)\n", ok, time.strftime("%Y %m %d %H:%M:%S", time.localtime()), endTime - startTime)
return ok
def delete(self, tableId, containerNameList=None, deleteOpt="all"):
#
startTime = time.time()
sqlCommandList = self.__getSqlDeleteList(tableId, containerNameList=containerNameList, deleteOpt=deleteOpt)
myQ = MyDbQuery(dbcon=self.__dbCon, verbose=self.__verbose)
myQ.setWarning(self.__warningAction)
ret = myQ.sqlCommand(sqlCommandList=sqlCommandList)
#
#
endTime = time.time()
logger.debug("Delete table %s server returns %r\n", tableId, ret)
logger.debug("Completed at %s (%.3f seconds)\n", time.strftime("%Y %m %d %H:%M:%S", time.localtime()), endTime - startTime)
return ret
def __getSqlDeleteList(self, tableId, containerNameList=None, deleteOpt="all"):
""" Return the SQL delete commands for the input table and container name list.
"""
databaseName = self.__sD.getDatabaseName()
sqlGen = SqlGenAdmin(self.__verbose)
databaseName = self.__sD.getDatabaseName()
tableDefObj = self.__sD.getSchemaObject(tableId)
tableName = tableDefObj.getName()
sqlDeleteList = []
if deleteOpt in ["selected", "delete"] and containerNameList is not None:
deleteAttributeName = tableDefObj.getDeleteAttributeName()
sqlDeleteList = sqlGen.deleteFromListSQL(databaseName, tableName, deleteAttributeName, containerNameList, chunkSize=50)
elif deleteOpt in ["all", "truncate"]:
sqlDeleteList = [sqlGen.truncateTableSQL(databaseName, tableName)]
logger.debug("Delete SQL for %s : %r\n", tableId, sqlDeleteList)
return sqlDeleteList
def __batchFileImport(self, tableId, tableLoadPath, sqlFilePath=None, containerNameList=None, deleteOpt="all"):
""" Batch load the input table using data in the input loadable data file.
if sqlFilePath is provided then any generated SQL commands are preserved in this file.
deleteOpt None|'selected'| 'all' or 'truncate'
"""
startTime = time.time()
databaseName = self.__sD.getDatabaseName()
sqlGen = SqlGenAdmin(self.__verbose)
databaseName = self.__sD.getDatabaseName()
tableDefObj = self.__sD.getSchemaObject(tableId)
# tableName = tableDefObj.getName()
#
if deleteOpt:
sqlCommandList = self.__getSqlDeleteList(tableId, containerNameList=containerNameList, deleteOpt=deleteOpt)
else:
sqlCommandList = []
if os.access(tableLoadPath, os.R_OK):
tableDefObj = self.__sD.getSchemaObject(tableId)
sqlCommandList.append(sqlGen.importTable(databaseName, tableDefObj, importPath=tableLoadPath))
if self.__verbose:
logger.debug("SQL import command\n%s\n", sqlCommandList)
#
if sqlFilePath is not None:
try:
with open(sqlFilePath, "w") as ofh:
ofh.write("%s" % "\n".join(sqlCommandList))
except Exception:
pass
#
myQ = MyDbQuery(dbcon=self.__dbCon, verbose=self.__verbose)
myQ.setWarning(self.__warningAction)
ret = myQ.sqlCommand(sqlCommandList=sqlCommandList)
#
#
endTime = time.time()
logger.debug("Table %s server returns %r\n", tableId, ret)
logger.debug("Completed at %s (%.3f seconds)\n", time.strftime("%Y %m %d %H:%M:%S", time.localtime()), endTime - startTime)
return ret
def loadBatchData(self, tableId, rowList=None, containerNameList=None, deleteOpt="selected"):
return self.__batchInsertImport(tableId, rowList=rowList, containerNameList=containerNameList, deleteOpt=deleteOpt)
def __batchInsertImport(self, tableId, rowList=None, containerNameList=None, deleteOpt="selected"):
""" Load the input table using batch inserts of the input list of dictionaries (i.e. d[attributeId]=value).
The containerNameList corresponding to the data within loadable data in rowList can be provided
if 'selected' deletions are to performed prior to the the batch data inserts.
deleteOpt = ['selected','all'] where 'selected' deletes rows corresponding to the input container
list before insert. The 'all' options truncates the table prior to insert.
Deletions are performed in the absence of loadable data.
"""
startTime = time.time()
myQ = MyDbQuery(dbcon=self.__dbCon, verbose=self.__verbose)
myQ.setWarning(self.__warningAction)
sqlGen = SqlGenAdmin(self.__verbose)
#
databaseName = self.__sD.getDatabaseName()
tableDefObj = self.__sD.getSchemaObject(tableId)
tableName = tableDefObj.getName()
tableAttributeIdList = tableDefObj.getAttributeIdList()
tableAttributeNameList = tableDefObj.getAttributeNameList()
#
sqlDeleteList = None
if deleteOpt in ["selected", "delete"] and containerNameList is not None:
deleteAttributeName = tableDefObj.getDeleteAttributeName()
sqlDeleteList = sqlGen.deleteFromListSQL(databaseName, tableName, deleteAttributeName, containerNameList, chunkSize=10)
if self.__verbose:
logger.debug("Delete SQL for %s : %r\n", tableId, sqlDeleteList)
elif deleteOpt in ["all", "truncate"]:
sqlDeleteList = [sqlGen.truncateTableSQL(databaseName, tableName)]
sqlInsertList = []
for row in rowList:
vList = []
aList = []
for tid, nm in zip(tableAttributeIdList, tableAttributeNameList):
# if len(row[id]) > 0 and row[id] != r'\N':
if row[tid] is not None and row[tid] != r"\N":
vList.append(row[tid])
aList.append(nm)
sqlInsertList.append((sqlGen.insertTemplateSQL(databaseName, tableName, aList), vList))
ret = myQ.sqlBatchTemplateCommand(sqlInsertList, prependSqlList=sqlDeleteList)
if ret:
logger.debug("Batch insert completed for table %s rows %d\n", tableName, len(sqlInsertList))
else:
logger.error("Batch insert fails for table %s length %d\n", tableName, len(sqlInsertList))
endTime = time.time()
if self.__verbose:
logger.debug("Completed at %s (%.3f seconds)\n", time.strftime("%Y %m %d %H:%M:%S", time.localtime()), endTime - startTime)
return ret
def __deleteFromTable(self, tableIdList, deleteValue):
""" Delete data from the input table list where the schema table delete attribute
has the input value "deleteValue".
"""
databaseName = self.__sD.getDatabaseName()
sqlList = []
sqlGen = SqlGenAdmin(self.__verbose)
for tableId in tableIdList:
tableName = self.__sD.getSchemaName(tableId)
tableDefObj = self.__sD.getSchemaObject(tableId)
atName = tableDefObj.getDeleteAttributeName()
sqlTemp = sqlGen.deleteTemplateSQL(databaseName, tableName, [atName])
sqlList.append(sqlTemp % deleteValue)
#
return sqlList