class SalesforceConnector:
def __init__(self, **kwargs):
self.sf_version = kwargs.get('version', '29.0')
self.sandbox = kwargs.get('sandbox', False)
self.proxies = kwargs.get('proxies')
self.domain = kwargs.get('domain', None)
try:
credentials = [elem for elem in credential_files if os.path.exists(elem)][0]
except:
raise ValueError('No credentials found')
#Load Credentials from file
if os.path.exists(credentials):
creds = pickle.loads(open(credentials).read())
username = creds['username']
password = creds['password']
security_token = creds['security_token']
self.session_id, self.sf_instance = SalesforceLogin(
username=username,
password=password,
security_token=security_token,
sandbox=self.sandbox,
sf_version=self.sf_version,
proxies=self.proxies,
domain = self.domain)
print 'read credentials'
##Read credentials from arguments
elif 'username' in kwargs and 'password' in kwargs and 'security_token' in kwargs:
self.auth_type = "password"
username = kwargs['username']
password = kwargs['password']
security_token = kwargs['security_token']
self.session_id, self.sf_instance = SalesforceLogin(
username=username,
password=password,
security_token=security_token,
sandbox=self.sandbox,
sf_version=self.sf_version,
proxies=self.proxies,
domain = self.domain)
self.saveLogin(username, password, security_token)
else:
raise TypeError(
'You must provide login information or an instance and token'
)
print self.sf_instance
self.bulk = SalesforceBulk(sessionId= self.session_id, host = self.sf_instance)
def saveLogin(self, username, password, security_token):
with open(credentials, "w") as f:
f.write(pickle.dumps(
dict(password = password,
username = username,
security_token = security_token)))
##Returns csv dict
# Each row is a dictionary of column_header:row_value
def query(self, sObject, queryString, contentType):
job_id = self.bulk.create_query_job(sObject, contentType = contentType)
batch_id = self.bulk.query(job_id, queryString)
self.bulk.wait_for_batch(job_id, batch_id, timeout=120)
self.bulk.close_job(job_id)
print 'job closed'
result_id = self.bulk.get_batch_result_ids(batch_id,job_id)[0]
result = [row for row in self.bulk.get_batch_results(batch_id = batch_id, result_id = result_id, job_id=job_id,
parse_csv=True)]
csv_dict = [dict(zip(result[0],row)) for row in result[1:]]
return csv_dict
def update(self, sObject, data, contentType):
job_id = self.bulk.create_update_job(sObject, contentType='CSV')
csv_iter = CsvDictsAdapter(iter(data))
batch_id = self.bulk.post_bulk_batch(job_id, csv_iter)
self.bulk.wait_for_batch(job_id, batch_id, timeout=120)
self.bulk.close_job(job_id)
print 'done'
return
def get_query_records_dict(self, db_table, soql_query):
"""Execute bulk Salesforce soql queries and return results as generator of dictionaries.
:param db_table: Database table name
:param soql_query: Soql queries
:return: If success, List of result record dictionaries; Else empty list
"""
self.bulk = SalesforceBulk(sessionId=self.session_id,
host=self.instance)
job = self.bulk.create_query_job(db_table, contentType="JSON")
batch = self.bulk.query(job, soql_query)
self.bulk.close_job(job)
while not self.bulk.is_batch_done(batch):
print("Waiting for batch query to complete")
sleep(10)
dict_records = []
rec_count = 0
print("Iterating through batch result set")
for result in self.bulk.get_all_results_for_query_batch(batch):
result = json.load(IteratorBytesIO(result))
for row in result:
rec_count += 1
dict_records.append(row)
print("Current fetched record count: ", rec_count)
return dict_records
def setUp(self):
request_patcher = mock.patch('simple_salesforce.api.requests')
self.mockrequest = request_patcher.start()
self.addCleanup(request_patcher.stop)
self.sessionId = '12345'
self.host = 'https://example.com'
self.bulk = SalesforceBulk(self.sessionId, self.host)
def __init__(self, config_path):
"""
Bootstrap a fetcher class
:param config_path: Path to the configuration file to use for this instance
"""
# Get settings
with open(config_path, 'r') as f:
self.settings = yaml.safe_load(f)
# Configure the logger
log_level = (logging.WARN, logging.DEBUG)[self.settings['debug']]
LOG_FORMAT = logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger("salesforce-fetcher")
logger.setLevel(log_level)
ch = logging.StreamHandler()
ch.setFormatter(LOG_FORMAT)
logger.addHandler(ch)
logger.debug("Logging is set to DEBUG level")
# let's not output the password
#logger.debug("Settings: %s" % self.settings)
self.logger = logger
self.salesforce = Salesforce(**self.settings['salesforce']['auth'])
self.salesforce_bulk = SalesforceBulk(**self.settings['salesforce']
['auth'],
API_version='46.0')
# Make sure output dir is created
output_directory = self.settings['output_dir']
if not os.path.exists(output_directory):
os.makedirs(output_directory)
def __init__(self, connector_param):
self.connector_param = connector_param
self.instance_url = 'https://' + connector_param.url_prefix + 'salesforce.com'
self.token_url = 'https://' + connector_param.url_prefix + 'salesforce.com/services/oauth2/token'
self.access_token = None
self.access_token = self.get_token()
self.bulk = SalesforceBulk(sessionId=self.access_token, host=urlparse(self.instance_url).hostname)
def __init__(self):
if BulkHelper.__instance != None:
raise Exception("BulkHelper class is a singleton!")
else:
BulkHelper.__instance = self
self.__bulk = SalesforceBulk(username=Config.USERNAME,
password=Config.PASSWORD,
security_token=Config.SECURITY_TOKEN,
sandbox=Config.IS_SANDBOX,
API_version=Config.API_VERSION)
def test_upload(self):
bulk = SalesforceBulk(self.sessionId, self.endpoint)
self.bulk = bulk
job_id = bulk.create_insert_job("Contact", contentType=self.contentType)
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
batch_ids = []
data = [
{
'FirstName': 'BulkTestFirst%s' % i,
'LastName': 'BulkLastName',
'Phone': '555-555-5555',
} for i in range(50)
]
for i in range(2):
content = self.generate_content(data)
batch_id = bulk.post_batch(job_id, content)
self.assertIsNotNone(re.match("\w+", batch_id))
batch_ids.append(batch_id)
bulk.close_job(job_id)
for batch_id in batch_ids:
bulk.wait_for_batch(job_id, batch_id, timeout=120)
for batch_id in batch_ids:
results = bulk.get_batch_results(batch_id)
print(results)
self.assertTrue(len(results) > 0)
self.assertTrue(isinstance(results, list))
self.assertTrue(isinstance(results[0], UploadResult))
self.assertEqual(len(results), 50)
def test_query_pk_chunk(self):
bulk = SalesforceBulk(self.sessionId, self.endpoint)
self.bulk = bulk
job_id = bulk.create_query_job("Contact", contentType=self.contentType, pk_chunking=True)
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
query = "Select Id,Name,Email from Contact"
batch_id = bulk.query(job_id, query)
self.assertIsNotNone(re.match("\w+", batch_id))
try:
i = 0
while not bulk.is_batch_done(batch_id):
print("Job not done yet...")
print(bulk.batch_status(batch_id))
time.sleep(2)
i += 1
if i == 20:
raise Exception
except BulkBatchFailed as e:
if e.state != bulk_states.NOT_PROCESSED:
raise
batches = bulk.get_batch_list(job_id)
print (batches)
batch_ids = [x['id'] for x in batches if x['state'] != bulk_states.NOT_PROCESSED]
requests = [bulk.get_query_batch_request(x, job_id) for x in batch_ids]
print (requests)
for request in requests:
self.assertTrue(request.startswith(query))
all_results = []
i = 0
while not all(bulk.is_batch_done(j, job_id) for j in batch_ids):
print("Job not done yet...")
print(bulk.batch_status(batch_id, job_id))
time.sleep(2)
i += 1
if i == 20:
raise Exception
for batch_id in batch_ids:
results = bulk.get_all_results_for_query_batch(batch_id, job_id)
for result in results:
all_results.extend(self.parse_results(result))
self.assertTrue(len(all_results) > 0)
self.assertEqual(
sorted(all_results[0].keys()),
['Email', 'Id', 'Name']
)
def setUp(self):
login = salesforce_oauth_request.login(
username=USERNAME,
password=PASSWORD,
token=SECURITY_TOKEN,
client_id=CONSUMER_KEY,
client_secret=CONSUMER_SECRET,
cache_session=False,
sandbox=True,
)
self.bulk = SalesforceBulk(login['access_token'], login['endpoint'])
self.jobs = []
def test_raw_query(self):
bulk = SalesforceBulk(self.sessionId, self.endpoint)
self.bulk = bulk
job_id = bulk.create_query_job("Contact")
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
batch_id = bulk.query(job_id, "Select Id,Name,Email from Contact Limit 1000")
self.assertIsNotNone(re.match("\w+", batch_id))
while not bulk.is_batch_done(job_id, batch_id):
print "Job not done yet..."
print bulk.batch_status(job_id, batch_id)
time.sleep(2)
self.results = ""
def save_results(tfile, **kwargs):
print "in save results"
self.results = tfile.read()
flag = bulk.get_batch_results(job_id, batch_id, callback = save_results)
self.assertTrue(flag)
self.assertTrue(len(self.results) > 0)
self.assertIn('"', self.results)
def bulkUpdate(sObject):
sfBulk = SalesforceBulk(username=username,
password=password,
security_token=security_token)
job = sfBulk.create_insert_job(sObject,
contentType='CSV',
concurrency='Parallel')
dir = "c:/kenandy/python/stageCSV/"
stageCSV = dir + sObject + '.csv'
print(stageCSV)
with open(stageCSV) as csvfile:
reader = csv.DictReader(csvfile)
#print (reader.fieldnames)
rows = []
for row in reader:
print("row****", dict(row))
#print(row['Id'], row['Name'])
# print(row['Id'], row['Name'])
rows.append(dict(row))
#print("rows****", rows)
csv_iter = CsvDictsAdapter(iter(rows))
#print("csv_iter**** ", csv_iter)
print("rows****", rows)
batch = sfBulk.post_batch(job, csv_iter)
sfBulk.wait_for_batch(job, batch)
sfBulk.close_job(job)
print("Done. Data Uploaded.")
def sfBulkUpdate(namespace,sObject):
myObject =sObject
if len(namespace) > 0:
myObject = namespace.upper() + '__' + sObject
stageCSV = stageCSVDir + myObject + '_stg.csv'
print(stageCSV)
#print (sObject)
sfBulk = SalesforceBulk(username=username_loc, password=password_loc, security_token=security_token_loc)
job = sfBulk.create_insert_job(myObject, contentType='CSV', concurrency='Parallel')
with open(stageCSV) as csvfile:
reader = csv.DictReader(csvfile)
#print (reader.fieldnames)
rows = []
for row in reader:
print("row****", dict(row))
rows.append(dict(row))
csv_iter = CsvDictsAdapter(iter(rows))
print("rows****", rows)
batch = sfBulk.post_batch(job, csv_iter)
sfBulk.wait_for_batch(job, batch)
sfBulk.close_job(job)
print("Done. Data Uploaded.")
def test_csv_query(self):
bulk = SalesforceBulk(self.sessionId, self.endpoint)
self.bulk = bulk
job_id = bulk.create_query_job("Account")
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
batch_id = bulk.query(job_id, "Select Id,Name,Description from Account Limit 10000")
self.assertIsNotNone(re.match("\w+", batch_id))
bulk.wait_for_batch(job_id, batch_id, timeout=120)
self.results = None
def save_results1(rows, **kwargs):
self.results = rows
flag = bulk.get_batch_results(job_id, batch_id, callback = save_results1, parse_csv=True)
self.assertTrue(flag)
results = self.results
self.assertTrue(len(results) > 0)
self.assertTrue(isinstance(results,list))
self.assertEqual(results[0], ['Id','Name','Description'])
self.assertTrue(len(results) > 3)
self.results = None
self.callback_count = 0
def save_results2(rows, **kwargs):
self.results = rows
print rows
self.callback_count += 1
batch = len(results) / 3
self.callback_count = 0
flag = bulk.get_batch_results(job_id, batch_id, callback = save_results2, parse_csv=True, batch_size=batch)
self.assertTrue(self.callback_count >= 3)
def test_upload(self):
bulk = SalesforceBulk(self.sessionId, self.endpoint)
self.bulk = bulk
job_id = bulk.create_insert_job("Contact", contentType=self.contentType)
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
batch_ids = []
data = [
{
'FirstName': 'BulkTestFirst%s' % i,
'LastName': 'BulkLastName',
'Phone': '555-555-5555',
} for i in range(50)
]
for i in range(2):
content = self.generate_content(data)
batch_id = bulk.post_batch(job_id, content)
self.assertIsNotNone(re.match("\w+", batch_id))
batch_ids.append(batch_id)
bulk.close_job(job_id)
for batch_id in batch_ids:
bulk.wait_for_batch(job_id, batch_id, timeout=120)
for batch_id in batch_ids:
results = bulk.get_batch_results(batch_id)
print(results)
self.assertTrue(len(results) > 0)
self.assertTrue(isinstance(results, list))
self.assertTrue(isinstance(results[0], UploadResult))
self.assertEqual(len(results), 50)
def login():
global bulk
logging.info('logging in...')
# domain passed to SalesforceBulk should be 'test' or 'login' or 'something.my'
bulk = SalesforceBulk(username=os.environ['ORG_USERNAME'], password=os.environ['ORG_PASSWORD'],
security_token=os.environ['ORG_SECURITY_TOKEN'], domain=os.environ['ORG_DOMAIN'])
logging.info('login successful !')
def setUp(self):
request_patcher = mock.patch('simple_salesforce.api.requests')
self.mockrequest = request_patcher.start()
self.addCleanup(request_patcher.stop)
self.sessionId = '12345'
self.host = 'https://example.com'
self.bulk = SalesforceBulk(self.sessionId, self.host)
def _init_bulk(sf, org_config):
from salesforce_bulk import SalesforceBulk
return SalesforceBulk(
host=org_config.instance_url.replace("https://", "").rstrip("/"),
sessionId=org_config.access_token,
API_version=sf.sf_version,
)
def test_query(self):
bulk = SalesforceBulk(self.sessionId, self.endpoint)
self.bulk = bulk
job_id = bulk.create_query_job("Contact", contentType=self.contentType)
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
batch_id = bulk.query(job_id, "Select Id,Name,Email from Contact Limit 1000")
self.assertIsNotNone(re.match("\w+", batch_id))
while not bulk.is_batch_done(batch_id):
print("Job not done yet...")
print(bulk.batch_status(batch_id))
time.sleep(2)
all_results = []
results = bulk.get_all_results_for_query_batch(batch_id)
for result in results:
all_results.extend(self.parse_results(result))
self.assertTrue(len(all_results) > 0)
self.assertEqual(
sorted(all_results[0].keys()),
['Email', 'Id', 'Name']
)
def _init_bulk(self):
version = self.api_version or self.project_config.project__package__api_version
if not version:
raise ConfigError("Cannot find Salesforce version")
return SalesforceBulk(
host=self.org_config.instance_url.replace("https://", "").rstrip("/"),
sessionId=self.org_config.access_token,
API_version=version,
)
def request(self, data=()):
# use csv iterator
csv_iter = CsvDictsAdapter(iter(data))
bulk = SalesforceBulk(username=self.username,
password=self.password,
organizationId=self.organizationId)
job = bulk.create_insert_job('SamanageCMDB__AgentPost__c',
contentType='CSV')
batch = bulk.post_batch(job, csv_iter)
bulk.wait_for_batch(job, batch)
bulk.close_job(job)
while not bulk.is_batch_done(batch):
sleep(10)
def test_query(self):
bulk = SalesforceBulk(self.sessionId, self.endpoint)
self.bulk = bulk
job_id = bulk.create_query_job("Contact", contentType=self.contentType)
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
batch_id = bulk.query(job_id, "Select Id,Name,Email from Contact Limit 1000")
self.assertIsNotNone(re.match("\w+", batch_id))
while not bulk.is_batch_done(batch_id):
print("Job not done yet...")
print(bulk.batch_status(batch_id))
time.sleep(2)
all_results = []
results = bulk.get_all_results_for_query_batch(batch_id)
for result in results:
all_results.extend(self.parse_results(result))
self.assertTrue(len(all_results) > 0)
self.assertEqual(
sorted(all_results[0].keys()),
['Email', 'Id', 'Name']
)
def test_csv_upload(self):
bulk = SalesforceBulk(SALESFORCE_API_VERSION, self.sessionId,
self.endpoint)
self.bulk = bulk
job_id = bulk.create_insert_job("Contact")
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
batch_ids = []
content = open("example.csv").read()
for i in range(5):
batch_id = bulk.query(job_id, content)
self.assertIsNotNone(re.match("\w+", batch_id))
batch_ids.append(batch_id)
for batch_id in batch_ids:
bulk.wait_for_batch(job_id, batch_id, timeout=120)
self.results = None
def save_results1(rows, failed, remaining):
self.results = rows
for batch_id in batch_ids:
flag = bulk.get_upload_results(job_id,
batch_id,
callback=save_results1)
self.assertTrue(flag)
results = self.results
self.assertTrue(len(results) > 0)
self.assertTrue(isinstance(results, list))
self.assertEqual(results[0],
UploadResult('Id', 'Success', 'Created', 'Error'))
self.assertEqual(len(results), 3)
self.results = None
self.callback_count = 0
def save_results2(rows, failed, remaining):
self.results = rows
self.callback_count += 1
batch = len(results) / 3
self.callback_count = 0
flag = bulk.get_upload_results(job_id,
batch_id,
callback=save_results2,
batch_size=batch)
self.assertTrue(self.callback_count >= 3)
def setUp(self):
login = salesforce_oauth_request.login(
username=USERNAME,
password=PASSWORD,
token=SECURITY_TOKEN,
client_id=CONSUMER_KEY,
client_secret=CONSUMER_SECRET,
cache_session=False,
sandbox=True,
)
self.bulk = SalesforceBulk(login['access_token'], login['endpoint'])
self.jobs = []
def setUpClass(cls):
username = os.environ.get('SALESFORCE_BULK_TEST_USERNAME')
password = os.environ.get('SALESFORCE_BULK_TEST_PASSWORD')
security_token = os.environ.get('SALESFORCE_BULK_TEST_SECURITY_TOKEN')
sandbox = os.environ.get('SALESFORCE_BULK_TEST_SANDBOX')
if not all(x for x in [username, password, security_token]):
raise unittest.SkipTest('Missing Configuration for logged in tests')
sessionId, endpoint = SalesforceBulk.login_to_salesforce(
username, password, sandbox, security_token)
cls.endpoint = endpoint
cls.sessionId = sessionId
def setUpClass(cls):
username = os.environ.get('SALESFORCE_BULK_TEST_USERNAME')
password = os.environ.get('SALESFORCE_BULK_TEST_PASSWORD')
security_token = os.environ.get('SALESFORCE_BULK_TEST_SECURITY_TOKEN')
domain = os.environ.get('SALESFORCE_BULK_TEST_DOMAIN')
if not all(x for x in [username, password, security_token]):
raise unittest.SkipTest('Missing Configuration for logged in tests')
sessionId, endpoint = SalesforceBulk.login_to_salesforce(
username, password, domain, security_token)
cls.endpoint = endpoint
cls.sessionId = sessionId
def __init__(self, username, password, security_token, sandbox=True):
"""
:param username:
:type username: str
:param password:
:type password: str
:param security_token:
:type security_token: str
:param sandbox: Whether the Salesforce Instance is Production or Sandbox. Default value is False (Production).
:type sandbox: bool
"""
# Logging setup
self.log = logging.getLogger(__name__)
self.log.info('Signing into Salesforce.')
try:
self.bulk = SalesforceBulk(username=username,
password=password,
security_token=security_token,
sandbox=sandbox)
self.log.info(
f'Successfully connected to Salesforce as "{username}".')
except Exception as auth_err:
self.log.exception(f'Failed to connect to Salesforce: {auth_err}')
raise
def __init__(self, **kwargs):
self.sf_version = kwargs.get('version', '29.0')
self.sandbox = kwargs.get('sandbox', False)
self.proxies = kwargs.get('proxies')
self.domain = kwargs.get('domain', None)
try:
credentials = [elem for elem in credential_files if os.path.exists(elem)][0]
except:
raise ValueError('No credentials found')
#Load Credentials from file
if os.path.exists(credentials):
creds = pickle.loads(open(credentials).read())
username = creds['username']
password = creds['password']
security_token = creds['security_token']
self.session_id, self.sf_instance = SalesforceLogin(
username=username,
password=password,
security_token=security_token,
sandbox=self.sandbox,
sf_version=self.sf_version,
proxies=self.proxies,
domain = self.domain)
print 'read credentials'
##Read credentials from arguments
elif 'username' in kwargs and 'password' in kwargs and 'security_token' in kwargs:
self.auth_type = "password"
username = kwargs['username']
password = kwargs['password']
security_token = kwargs['security_token']
self.session_id, self.sf_instance = SalesforceLogin(
username=username,
password=password,
security_token=security_token,
sandbox=self.sandbox,
sf_version=self.sf_version,
proxies=self.proxies,
domain = self.domain)
self.saveLogin(username, password, security_token)
else:
raise TypeError(
'You must provide login information or an instance and token'
)
print self.sf_instance
self.bulk = SalesforceBulk(sessionId= self.session_id, host = self.sf_instance)
def upload_table(sessionId, hostname, tablename, connection_string):
schema, table = tablename.split('.')
log.debug('%s, %s, %s, %s, %s, %s', sessionId, hostname, tablename, connection_string, schema, table)
bulk = SalesforceBulk(
sessionId=sessionId,
host=hostname)
engine = create_engine(connection_string)
result = engine.execute(text('select column_name from information_schema.columns where table_name = :table and table_schema = :schema'), {'table': table, 'schema': schema})
exclude = ['sfid', 'id', 'systemmodstamp', 'isdeleted']
columns = [x[0] for x in result if not x[0].startswith('_') and x[0].lower() not in exclude]
log.debug('columns: %s', columns)
column_select = ','.join('"%s"' % x for x in columns)
result = engine.execute('select %s from %s' % (column_select, tablename))
dict_iter = (dict(zip(columns, row_modifier(row))) for row in result)
dict_iter = list(dict_iter)
log.debug('Sending rows: %s', [x['name'] for x in dict_iter])
csv_iter = CsvDictsAdapter(iter(dict_iter))
job = bulk.create_insert_job(table.capitalize(), contentType='CSV')
batch = bulk.post_bulk_batch(job, csv_iter)
bulk.wait_for_batch(job, batch)
bulk_result = []
def save_results(rows, failed, remaining):
bulk_result[:] = [rows, failed, remaining]
flag = bulk.get_upload_results(job, batch, callback=save_results)
bulk.close_job(job)
log.debug('results: %s, %s', flag, bulk_result)
return bulk_result
def test_csv_upload(self):
bulk = SalesforceBulk(self.sessionId, self.endpoint)
self.bulk = bulk
job_id = bulk.create_insert_job("Contact")
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
batch_ids = []
content = open("example.csv").read()
for i in range(5):
batch_id = bulk.query(job_id, content)
self.assertIsNotNone(re.match("\w+", batch_id))
batch_ids.append(batch_id)
for batch_id in batch_ids:
bulk.wait_for_batch(job_id, batch_id, timeout=120)
self.results = None
def save_results1(rows, failed, remaining):
self.results = rows
for batch_id in batch_ids:
flag = bulk.get_upload_results(job_id, batch_id, callback = save_results1)
self.assertTrue(flag)
results = self.results
self.assertTrue(len(results) > 0)
self.assertTrue(isinstance(results,list))
self.assertEqual(results[0], UploadResult('Id','Success','Created','Error'))
self.assertEqual(len(results), 3)
self.results = None
self.callback_count = 0
def save_results2(rows, failed, remaining):
self.results = rows
self.callback_count += 1
batch = len(results) / 3
self.callback_count = 0
flag = bulk.get_upload_results(job_id, batch_id, callback = save_results2, batch_size=batch)
self.assertTrue(self.callback_count >= 3)
def _init_bulk(self):
return SalesforceBulk(
host=self.org_config.instance_url.replace("https://",
"").rstrip("/"),
sessionId=self.org_config.access_token,
)
def sfBulk_Login(username, password, security_token):
sfBulk = SalesforceBulk(username=username,
password=password,
security_token=security_token)
return sfBulk
import csv
from salesforce_bulk import SalesforceBulk
from salesforce_bulk import CsvDictsAdapter
username = '******'
password = '******'
security_token = 'HxK2ciSHbsjN5PvAE8psL9w9F'
bulk = SalesforceBulk(username=username, password=password, security_token=security_token)
job = bulk.create_insert_job("account", contentType='CSV', concurrency='Parallel')
rootDir = "c:/python/kenandy/stageCSV/"
objectName = "Account"
stageCSV = rootDir + objectName + '.csv'
print (stageCSV)
with open(stageCSV) as csvfile:
reader = csv.DictReader(stageCSV)
account = [dict(Name="Account%d" % idx) for idx in xrange(5)]
#disbursals = []
#for row in reader:
# disbursals.append(row)
#print (disbursals)
print (account)
csv_iter = CsvDictsAdapter(iter(account))
#csv_iter = CsvDictsAdapter(iter(disbursals))
batch = bulk.post_batch(job, csv_iter)
import json
from salesforce_bulk import SalesforceBulk
from salesforce_bulk.util import IteratorBytesIO
from time import sleep
from salesforce_bulk import CsvDictsAdapter
import pandas as pd
import config as cfg
#Authentication
bulk = SalesforceBulk(username=cfg.USERNAME,
password=cfg.PASSWORD,
security_token=cfg.SECURITY_KEY,
sandbox=True)
#Source CSV File path for Account
input_file = "/home/baadmin/NCT_ETL/input_files/pg_extract_prd/staging2_payment.csv"
#Target SFDC Object name
target_obj = "cpm__Payment__c"
# Mapping of Input csv Fields to SalesForce Fields
sf_mapping = {
'paymentkey': 'Payment_Key__c',
'accountkey': 'Account_key__c',
'contactkey': 'Contact_Key__c',
'installmentkey': 'Installment_Key__c',
'mandatekey': 'Mandate_Key__c',
'paymentprofilekey': 'Payment_Profile_Key__c',
'installment': 'cpm__Installment__c',
'paymentprofile': 'cpm__Payment_Profile__c',
"USERNAME": os.getenv("SALESFORCE_USERNAME"),
"PASSWORD": os.getenv("SALESFORCE_PASSWORD"),
"HOST": os.getenv("SALESFORCE_HOST"),
"TOKEN": os.getenv("SALESFORCE_TOKEN"),
"CLIENT_ID": os.getenv("SALESFORCE_CLIENT_ID"),
"CLIENT_SECRET": os.getenv("SALESFORCE_CLIENT_SECRET"),
}
USER = SALESFORCE["USERNAME"]
PASS = SALESFORCE["PASSWORD"]
TOKEN = SALESFORCE["TOKEN"]
HOST = SALESFORCE["HOST"]
sf = Salesforce(username=USER, password=PASS, security_token=TOKEN)
bulk = SalesforceBulk(sessionId=sf.session_id, host=HOST)
job = bulk.create_query_job("Contact", contentType="CSV")
batch = bulk.query(job, query)
while not bulk.is_batch_done(job, batch):
sleep(3)
bulk.close_job(job)
rows = bulk.get_batch_result_iter(job, batch, parse_csv=True)
bulk_email = list(rows)
email_list = []
emails_sf = [x[COMBINED_EMAIL_FIELD] for x in bulk_email]
print ("The following email addresses appear in Stripe but not Salesforce: \n")
for field in emails_sf:
for email in field.split(","):
"USERNAME": os.getenv('SALESFORCE_USERNAME'),
"PASSWORD": os.getenv('SALESFORCE_PASSWORD'),
"HOST": os.getenv("SALESFORCE_HOST"),
"TOKEN": os.getenv("SALESFORCE_TOKEN"),
"CLIENT_ID": os.getenv("SALESFORCE_CLIENT_ID"),
"CLIENT_SECRET": os.getenv("SALESFORCE_CLIENT_SECRET"),
}
USER = SALESFORCE['USERNAME']
PASS = SALESFORCE['PASSWORD']
TOKEN = SALESFORCE['TOKEN']
HOST = SALESFORCE['HOST']
sf = Salesforce(username=USER, password=PASS, security_token=TOKEN)
bulk = SalesforceBulk(sessionId=sf.session_id, host=HOST)
job = bulk.create_query_job("Contact", contentType='CSV')
batch = bulk.query(job, query)
while not bulk.is_batch_done(job, batch):
sleep(3)
bulk.close_job(job)
rows = bulk.get_batch_result_iter(job, batch, parse_csv=True)
bulk_email = list(rows)
email_list = []
emails_sf = [x[COMBINED_EMAIL_FIELD] for x in bulk_email]
print ("The following email addresses appear in Stripe but not Salesforce: \n")
for field in emails_sf:
for email in field.split(','):
def sf_data(query):
"""
Get opportunity data using supplied query.
Get account data.
Return both as dataframes.
"""
USER = SALESFORCE['USERNAME']
PASS = SALESFORCE['PASSWORD']
TOKEN = SALESFORCE['TOKEN']
HOST = SALESFORCE['HOST']
sf = Salesforce(username=USER, password=PASS, security_token=TOKEN)
bulk = SalesforceBulk(sessionId=sf.session_id, host=HOST)
print "Creating Opportunity job..."
job = bulk.create_query_job("Opportunity", contentType='CSV')
print "Issuing query..."
batch = bulk.query(job, query)
while not bulk.is_batch_done(job, batch):
print "waiting for query to complete..."
sleep(3)
bulk.close_job(job)
rows = bulk.get_batch_result_iter(job, batch, parse_csv=True)
all = list(rows)
opps = DataFrame.from_dict(all)
job = bulk.create_query_job("Account", contentType='CSV')
print "Creating Account job..."
batch = bulk.query(job,
"SELECT Id, Website, Text_For_Donor_Wall__c FROM Account")
print "Issuing query..."
while not bulk.is_batch_done(job, batch):
print "waiting for query to complete..."
sleep(3)
bulk.close_job(job)
rows = bulk.get_batch_result_iter(job, batch, parse_csv=True)
accts = DataFrame.from_dict(list(rows))
accts.rename(columns={'Id': 'AccountId'}, inplace=True)
return opps, accts
class SalesforceFetcher(object):
"""
Class that encapsulates all the fetching logic for SalesForce.
"""
def __init__(self, config_path):
"""
Bootstrap a fetcher class
:param config_path: Path to the configuration file to use for this instance
"""
# Get settings
with open(config_path, 'r') as f:
self.settings = yaml.safe_load(f)
# Configure the logger
log_level = (logging.WARN, logging.DEBUG)[self.settings['debug']]
LOG_FORMAT = logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger("salesforce-fetcher")
logger.setLevel(log_level)
ch = logging.StreamHandler()
ch.setFormatter(LOG_FORMAT)
logger.addHandler(ch)
logger.debug("Logging is set to DEBUG level")
# let's not output the password
#logger.debug("Settings: %s" % self.settings)
self.logger = logger
self.salesforce = Salesforce(**self.settings['salesforce']['auth'])
self.salesforce_bulk = SalesforceBulk(**self.settings['salesforce']
['auth'],
API_version='46.0')
# Make sure output dir is created
output_directory = self.settings['output_dir']
if not os.path.exists(output_directory):
os.makedirs(output_directory)
def fetch_all(self, fetch_only, airflow_date, fetch_method, days_lookback):
"""
Fetch any reports or queries, writing them out as files in the output_dir
"""
queries = self.load_queries()
for name, query in queries.items():
if fetch_only and name != fetch_only:
self.logger.debug(
"'--fetch-only %s' specified. Skipping fetch of %s" %
(fetch_only, name))
continue
#if name == 'contacts' or name == 'opportunity':
if fetch_method and fetch_method == 'bulk':
self.fetch_soql_query_bulk(name, query, airflow_date)
else:
self.fetch_soql_query(name, query, airflow_date)
reports = self.settings['salesforce']['reports']
for name, report_url in reports.items():
if fetch_only and name != fetch_only:
self.logger.debug(
"'--fetch-only %s' specified. Skipping fetch of %s" %
(fetch_only, name))
continue
self.fetch_report(name, report_url, airflow_date)
if fetch_only:
if fetch_only == 'contact_deletes':
self.fetch_contact_deletes(days=days_lookback,
airflow_date=airflow_date)
else:
self.fetch_contact_deletes(days=days_lookback,
airflow_date=airflow_date)
self.logger.info("Job Completed")
def fetch_contact_deletes(self, days=29, airflow_date=None):
"""
Fetches all deletes from Contact for X days
:param days: Fetch deletes from this number of days to present
:return:
"""
path = self.create_output_path('contact_deletes',
airflow_date=airflow_date)
end = datetime.datetime.now(
pytz.UTC) # we need to use UTC as salesforce API requires this!
records = self.salesforce.Contact.deleted(
end - datetime.timedelta(days=days), end)
data_list = records['deletedRecords']
if len(data_list) > 0:
fieldnames = list(data_list[0].keys())
with open(path, 'w') as f:
writer = DictWriter(f,
fieldnames=fieldnames,
quoting=QUOTE_ALL)
writer.writeheader()
for delta_record in data_list:
writer.writerow(delta_record)
def fetch_report(self, name, report_url, airflow_date=None):
"""
Fetches a single prebuilt Salesforce report via an HTTP request
:param name: Name of the report to fetch
:param report_url: Base URL for the report
:return:
"""
self.logger.info("Fetching report - %s" % name)
sf_host = self.settings['salesforce']['host']
url = "%s%s?view=d&snip&export=1&enc=UTF-8&xf=csv" % (sf_host,
report_url)
resp = requests.get(url,
headers=self.salesforce.headers,
cookies={'sid': self.salesforce.session_id},
stream=True)
path = self.create_output_path(name, airflow_date=airflow_date)
with open(path, 'w+') as f:
# Write the full contents
f.write(resp.text.replace("\"", ""))
# Remove the Salesforce footer (last 7 lines)
f.seek(0, os.SEEK_END)
pos = f.tell() - 1
count = 0
while pos > 0 and count < 7:
pos -= 1
f.seek(pos, os.SEEK_SET)
if f.read(1) == "\n":
count += 1
# So long as we're not at the start of the file, delete all the characters ahead of this position
if pos > 0:
# preserve the last newline then truncate the file
pos += 1
f.seek(pos, os.SEEK_SET)
f.truncate()
def fetch_soql_query_bulk(self, name, query, airflow_date=None):
self.logger.info("BULK Executing %s" % name)
self.logger.info("BULK Query is: %s" % query)
if name == 'contacts' or name == 'contact_updates':
table_name = 'Contact'
elif name == 'opportunity' or name == 'opportunity_updates':
table_name = 'Opportunity'
job = self.salesforce_bulk.create_query_job(table_name,
contentType='CSV',
pk_chunking=True,
concurrency='Parallel')
self.logger.info("job: %s" % job)
batch = self.salesforce_bulk.query(job, query)
# job = '7504O00000LUxuCQAT'
# batch = '7514O00000TvapeQAB'
self.logger.info("Bulk batch created: %s" % batch)
while True:
batch_state = self.salesforce_bulk.batch_state(
batch, job_id=job, reload=True).lower()
if batch_state == 'notprocessed':
self.logger.info("master batch is done")
break
elif batch_state == 'aborted' or batch_state == 'failed':
self.logger.error("master batch failed")
self.logger.error(
self.salesforce_bulk.batch_status(batch_id=batch,
job_id=job,
reload=True))
raise Exception("master batch failed")
self.logger.info("waiting for batch to be done. status=%s" %
batch_state)
time.sleep(10)
count = 0
downloaded = {}
pool = mp.Pool(5)
while True:
stats = {}
batch_count = 0
all_batches = self.salesforce_bulk.get_batch_list(job)
for batch_info in all_batches:
batch_count += 1
batch_state = batch_info['state'].lower()
if batch_state in stats:
stats[batch_state] += 1
else:
stats[batch_state] = 1
if batch_info['id'] == batch:
#self.logger.debug("skipping the master batch id")
continue
elif batch_info['id'] in downloaded:
#self.logger.debug("batch %s already downloaded" % batch_info['id'])
continue
if batch_state == 'completed':
self.logger.debug(
"batch %s (%s of %s)" %
(batch_info['id'], batch_count, len(all_batches)))
for result_id in self.salesforce_bulk.get_query_batch_result_ids(
batch_info['id'], job_id=job):
self.logger.debug("result_id: %s" % result_id)
path = self.create_output_path(
name, result_id, airflow_date=airflow_date)
pool.apply_async(
get_and_write_bulk_results,
args=(batch_info['id'], result_id, job,
self.salesforce_bulk.endpoint,
self.salesforce_bulk.headers(), path))
downloaded[batch_info['id']] = 1
elif batch_state == 'failed':
downloaded[batch_info['id']] = 1
self.logger.error("batch %s failed!" % batch_info['id'])
self.logger.error(
self.salesforce_bulk.batch_status(
batch_id=batch_info['id'], job_id=job,
reload=True))
if 'completed' in stats and stats['completed'] + 1 == batch_count:
self.logger.info("all batches retrieved")
break
elif 'failed' in stats and stats['failed'] + 1 == batch_count:
self.logger.error("NO batches retrieved")
self.logger.error(
self.salesforce_bulk.batch_status(batch_id=batch,
job_id=job,
reload=True))
raise Exception("NO batches retrieved")
elif 'failed' in stats and stats['failed'] + stats[
'completed'] == batch_count:
self.logger.warning("all batches WITH SOME FAILURES")
break
else:
self.logger.info(stats)
time.sleep(5)
try:
self.salesforce_bulk.close_job(job)
except:
pass
pool.close()
pool.join()
def fetch_soql_query(self, name, query, airflow_date=None):
self.logger.info("Executing %s" % name)
self.logger.info("Query is: %s" % query)
path = self.create_output_path(name, airflow_date=airflow_date)
result = self.salesforce.query(query)
self.logger.info("First result set received")
batch = 0
count = 0
if result['records']:
fieldnames = list(result['records'][0].keys())
fieldnames.pop(0) # get rid of attributes
with open(path, 'w') as f:
writer = DictWriter(f,
fieldnames=fieldnames,
quoting=QUOTE_ALL)
writer.writeheader()
while True:
batch += 1
for row in result['records']:
# each row has a strange attributes key we don't want
row.pop('attributes', None)
out_dict = {}
for key, value in row.items():
if type(value) is collections.OrderedDict:
out_dict[key] = json.dumps(value)
else:
out_dict[key] = value
writer.writerow(out_dict)
count += 1
if count % 100000 == 0:
self.logger.debug("%s rows fetched" % count)
# fetch next batch if we're not done else break out of loop
if not result['done']:
result = self.salesforce.query_more(
result['nextRecordsUrl'], True)
else:
break
else:
self.logger.warn("No results returned for %s" % name)
def create_output_path(self, name, filename='output', airflow_date=None):
output_dir = self.settings['output_dir']
if airflow_date:
date = airflow_date
else:
date = time.strftime("%Y-%m-%d")
child_dir = os.path.join(output_dir, name, date)
if not os.path.exists(child_dir):
os.makedirs(child_dir)
filename = filename + ".csv"
file_path = os.path.join(child_dir, filename)
self.logger.info("Writing output to %s" % file_path)
return file_path
def create_custom_query(self,
table_name='Contact',
dir='/usr/local/salesforce_fetcher/queries',
updates_only=False):
"""
The intention is to have Travis upload the "contact_fields.yaml" file
to a bucket where it can be pulled down dynamically by this script
and others (instead of having to rebuild the image on each change)
"""
fields_file_name = table_name.lower() + '_fields.yaml'
fields_file = os.path.join(dir, fields_file_name)
if not os.path.exists(fields_file):
return
with open(fields_file, 'r') as stream:
columns = yaml.safe_load(stream)
query = "SELECT "
for field in columns['fields']:
query += next(iter(field)) + ', '
query = query[:-2] + " FROM " + table_name
if updates_only:
query += " WHERE LastModifiedDate >= LAST_N_DAYS:3"
return query
def load_queries(self):
"""
load queries from an external directory
:return: a dict containing all the SOQL queries to be executed
"""
queries = {}
query_dir = self.settings['salesforce']['query_dir']
for file in os.listdir(query_dir):
if file.endswith(".soql"):
name, ext = os.path.splitext(file)
query_file = os.path.join(query_dir, file)
with open(query_file, 'r') as f:
queries[name] = f.read().strip().replace('\n', ' ')
# explicitly add the non-file queries
queries['contacts'] = self.create_custom_query(table_name='Contact',
dir=query_dir)
queries['contact_updates'] = self.create_custom_query(
table_name='Contact', dir=query_dir, updates_only=True)
queries['opportunity'] = self.create_custom_query(
table_name='Opportunity', dir=query_dir)
queries['opportunity_updates'] = self.create_custom_query(
table_name='Opportunity', dir=query_dir, updates_only=True)
return queries
def load_records(test=False, target="Contact1000__c", count=10, batch_size=100000,
username="******", password=None, token=None,
sessionId=None, endpoint=None,
return_records=False, field_spec = None):
if not test:
if username and password:
sf = SalesforceBatch(username=username, password=password, token=token)
else:
sf = SalesforceBatch(sessionId=sessionId, endpoint=endpoint)
user_ids = [r.Id for r in sf.query_salesforce("User", ["Id"], where="ReceivesAdminInfoEmails=true", limit=20).records]
print "User ids: " + str(user_ids)
bulk = SalesforceBulk(sessionId=sf.sessionId, host=sf.host)
job = bulk.create_insert_job(target, concurrency="Parallel")
else:
user_ids = [1, 2, 3]
record_generator.define_lookup("UserId", random_choices=user_ids)
record_generator.define_lookup("Industry", random_choices=["Finance","Agriculture","Technology","Banking","Chemicals"])
record_generator.define_lookup("account_type", random_choices=["Analyst","Competitor","Customer","Integrator","Partner"])
global indexer
indexer = 0
def gen_index():
global indexer
indexer += 1
return "{0} {1}".format(datetime.now().strftime("%Y-%m-%d %H:%M:%S"), indexer)
record_generator.define_lookup("counter", callable=gen_index)
output = open("records_{0}.json".format(target), "a")
total = count
batches = []
all_records = []
while count > 0:
if field_spec:
records = record_generator.mock_records(field_spec, count=batch_size)
else:
if 'Contact' in target:
records = gen_Contact(min(count,batch_size))
else:
records = gen_Account(min(count,batch_size))
if test:
return list(records)
print "Made batch of size {}".format(batch_size)
if return_records:
records = list(records)
all_records += records
records = iter(records)
if total < 1000:
# Use SOAP
sf.insert_salesforce(target, records)
count = 0
else:
csv_gen = CsvDictsAdapter(records)
print "Posting batch to BULK API"
batch = bulk.post_bulk_batch(job, csv_gen)
print "Posted: %s" % batch
batches.append(batch)
count -= batch_size
for r in records:
output.write(json.dumps(r))
output.write("\n")
for b in batches:
print "Waiting for %s" % b
bulk.wait_for_batch(job, b)
bulk.close_job(job)
print "DONE!"
if return_records:
return all_records
def sf_Bulk_Login(username, password,security_token):
sfBulk = SalesforceBulk(username=username, password=password,security_token=security_token)
print ('login sucessfully')
return sfBulk
class RESTConnector:
def __init__(self, connector_param):
self.connector_param = connector_param
self.instance_url = 'https://' + connector_param.url_prefix + 'salesforce.com'
self.token_url = 'https://' + connector_param.url_prefix + 'salesforce.com/services/oauth2/token'
self.access_token = None
self.get_token()
self.bulk = SalesforceBulk(sessionId=self.access_token,
host=urlparse(self.instance_url).hostname)
def check_token(self):
try:
job = self.bulk.create_query_job(object, contentType='CSV')
test_query = 'SELECT ID FROM Account LIMIT 1'
batch = self.bulk.query(job, test_query)
self.connector_wait(job, batch, 'Query done')
self.bulk.close_job(job)
return True
except:
return False
def get_token(self):
if self.access_token == None:
cached_token = self.get_cached_token()
if cached_token:
self.access_token = cached_token
if not self.check_token():
self.get_oauth2_token()
else:
self.get_oauth2_token()
else:
self.get_oauth2_token()
return self.access_token
def get_oauth2_token(self):
req_param = {
'grant_type': 'password',
'client_id': self.connector_param.consumer_key,
'client_secret': self.connector_param.consumer_secret,
'username': self.connector_param.username,
'password': self.connector_param.password
}
result = requests.post(
self.token_url,
headers={"Content-Type": "application/x-www-form-urlencoded"},
data=req_param)
result_dict = loads(result.content)
if 'access_token' in result_dict.keys():
self.access_token = result_dict['access_token']
self.save_token()
return result_dict['access_token']
else:
print(result_dict)
return None
def get_cached_token(self):
try:
tokens_dict = load(open(session_file, 'r'))
except:
return None
if self.connector_param.username in tokens_dict.keys():
return tokens_dict[self.connector_param.username]
else:
return None
def save_token(self):
tokens_dict = {}
try:
tokens_dict = load(open(session_file, 'r'))
except:
pass
tokens_dict[self.connector_param.username] = self.access_token
dump(tokens_dict, open(session_file, 'w'))
def remove_token(self):
tokens_dict = load(open(session_file, 'r'))
tokens_dict.pop(self.connector_param.username, None)
dump(tokens_dict, open(session_file, 'w'))
def bulk_load(self, object, soql, header_columns=None, csv_file=None):
try:
job = self.bulk.create_query_job(object, contentType='CSV')
except:
self.access_token = None
self.get_oauth2_token()
job = self.bulk.create_query_job(object, contentType='CSV')
batch = self.bulk.query(job, soql)
self.connector_wait(job, batch, 'Query done')
self.bulk.close_job(job)
if csv_file:
open_mode = 'w'
with open(csv_file, open_mode) as f_csv:
writer = csv.DictWriter(f_csv, fieldnames=header_columns)
writer.writeheader()
for row in self.bulk.get_batch_result_iter(job,
batch,
parse_csv=True):
writer.writerow(row)
else:
data = []
for row in self.bulk.get_batch_result_iter(job,
batch,
parse_csv=True):
data.append(row)
return data
def bulk_insert(self, object, data):
job = self.bulk.create_insert_job(object, contentType='CSV')
csv_iter = CsvDictsAdapter(iter(data))
batch = self.bulk.post_bulk_batch(job, csv_iter)
self.connector_wait(job, batch, 'bulk insert done')
# do not work should return Id`s of created elements
# res = self.bulk.get_batch_result_iter(job,batch,parse_csv=False)
self.bulk.close_job(job)
def bulk_update(self, object, data):
job = self.bulk.create_update_job(object, contentType='CSV')
csv_iter = CsvDictsAdapter(iter(data))
batch = self.bulk.post_bulk_batch(job, csv_iter)
self.connector_wait(job, batch, 'bulk update done')
# do not work shuld return Id`s of created elements
self.bulk.close_job(job)
rows = []
for row in self.get_batch_result_iter(job, batch, parse_csv=False):
rows.append(row)
return rows
def bulk_delete(self, object, where):
delete_job = self.bulk.create_delete_job(object_name=object)
delete_batch = self.bulk.bulk_delete(delete_job, object, where)
self.bulk.wait_for_batch(delete_job, delete_batch)
print('deletion done')
def bulk_upsert(self, object, external_id_name, data):
job = self.bulk.create_upsert_job(object_name=object,
external_id_name=external_id_name)
csv_iter = CsvDictsAdapter(iter(data))
batch = self.bulk.post_bulk_batch(job, csv_iter)
self.connector_wait(job, batch, 'upserting done')
self.bulk.close_job(job)
rows = []
for row in self.get_batch_result_iter(job, batch, parse_csv=False):
rows.append(row)
return rows
def connector_wait(self, job, batch, ending_message=''):
wait_message = 'Wait for job done'
clock = 0
while True:
if clock == 10:
clock = 0
if self.bulk.is_batch_done(job, batch):
break
sleep(0.5)
clock = clock + 1
spin(wait_message)
print('\r' + ending_message.ljust(
len(ending_message) if len(ending_message) > len(wait_message) +
4 else len(wait_message) + 4))
self.bulk.wait_for_batch(job, batch)
def get_batch_result_iter(self,
job_id,
batch_id,
parse_csv=False,
logger=None):
"""
**** This code snippet was taken from salesforce bulk library ****
Return a line interator over the contents of a batch result document. If
csv=True then parses the first line as the csv header and the iterator
returns dicts.
"""
status = self.bulk.batch_status(job_id, batch_id)
if status['state'] != 'Completed':
return None
elif logger:
if 'numberRecordsProcessed' in status:
logger("Bulk batch %d processed %s records" %
(batch_id, status['numberRecordsProcessed']))
if 'numberRecordsFailed' in status:
failed = int(status['numberRecordsFailed'])
if failed > 0:
logger("Bulk batch %d had %d failed records" %
(batch_id, failed))
print(self.bulk.headers())
uri = self.bulk.endpoint + \
"/job/%s/batch/%s/result" % (job_id, batch_id)
r = requests.get(uri, headers=self.bulk.headers(), stream=True)
# print(type(r))
# print(r.text)
# print(r.keys())
# result_id = r.text.split("<result>")[1].split("</result>")[0]
# uri = self.bulk.endpoint + \
# "/job/%s/batch/%s/result/%s" % (job_id, batch_id, result_id)
# r = requests.get(uri, headers=self.bulk.headers(), stream=True)
if parse_csv:
return csv.DictReader(r.iter_lines(chunk_size=2048),
delimiter=",",
quotechar='"')
else:
return r.iter_lines(chunk_size=2048)
from salesforce_bulk import SalesforceBulk, CsvDictsAdapter
import json
with open('data.json', 'r') as myfile:
data = json.loads(myfile.read())
username = data["user"]
password = data["password"]
instance = data["instance"]
security_token = data["token"]
try:
bulk = SalesforceBulk(username=username,
password=password,
security_token=security_token)
job = bulk.create_insert_job("Account", contentType='CSV')
accounts = [dict(Name="Account%d" % idx) for idx in range(5, 10)]
csv_iter = CsvDictsAdapter(iter(accounts))
batch = bulk.post_batch(job, csv_iter)
bulk.wait_for_batch(job, batch)
bulk.close_job(job)
result = bulk.get_batch_results(batch, job)
jsonString = json.dumps(result)
print(jsonString)
except Exception as e:
Exception(e)
class SalesforceBulkTestCase(unittest.TestCase):
def setUp(self):
login = salesforce_oauth_request.login(
username=USERNAME,
password=PASSWORD,
token=SECURITY_TOKEN,
client_id=CONSUMER_KEY,
client_secret=CONSUMER_SECRET,
cache_session=False,
sandbox=True,
)
self.bulk = SalesforceBulk(login['access_token'], login['endpoint'])
self.jobs = []
def tearDown(self):
if hasattr(self, 'bulk'):
for job_id in self.jobs:
print "Closing job: %s" % job_id
self.bulk.close_job(job_id)
def test_raw_query(self):
job_id = self.bulk.create_query_job("Contact")
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
batch_id = self.bulk.query(job_id, "Select Id,Name,Email from Contact Limit 1000")
self.assertIsNotNone(re.match("\w+", batch_id))
while not self.bulk.is_batch_done(job_id, batch_id):
print "Job not done yet..."
print self.bulk.batch_status(job_id, batch_id)
time.sleep(2)
self.results = ""
def save_results(tfile, **kwargs):
print "in save results"
self.results = tfile.read()
flag = self.bulk.get_batch_results(job_id, batch_id, callback = save_results)
self.assertTrue(flag)
self.assertTrue(len(self.results) > 0)
self.assertIn('"', self.results)
def test_csv_query(self):
job_id = self.bulk.create_query_job("Account")
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
batch_id = self.bulk.query(job_id, "Select Id,Name,Description from Account Limit 10000")
self.assertIsNotNone(re.match("\w+", batch_id))
self.bulk.wait_for_batch(job_id, batch_id, timeout=120)
self.results = None
def save_results1(rows, **kwargs):
self.results = rows
flag = self.bulk.get_batch_results(job_id, batch_id, callback = save_results1, parse_csv=True)
self.assertTrue(flag)
results = self.results
self.assertTrue(len(results) > 0)
self.assertTrue(isinstance(results,list))
self.assertEqual(results[0], ['Id','Name','Description'])
self.assertTrue(len(results) > 3)
self.results = None
self.callback_count = 0
def save_results2(rows, **kwargs):
self.results = rows
print rows
self.callback_count += 1
batch = len(results) / 3
self.callback_count = 0
flag = self.bulk.get_batch_results(job_id, batch_id, callback = save_results2, parse_csv=True, batch_size=batch)
self.assertTrue(self.callback_count >= 3)
def test_csv_upload(self):
job_id = self.bulk.create_insert_job("Contact")
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
batch_ids = []
content = open("example.csv").read()
for i in range(5):
batch_id = self.bulk.query(job_id, content)
self.assertIsNotNone(re.match("\w+", batch_id))
batch_ids.append(batch_id)
for batch_id in batch_ids:
self.bulk.wait_for_batch(job_id, batch_id, timeout=120)
self.results = None
def save_results1(rows, failed, remaining):
self.results = rows
for batch_id in batch_ids:
flag = self.bulk.get_upload_results(job_id, batch_id, callback = save_results1)
self.assertTrue(flag)
results = self.results
self.assertTrue(len(results) > 0)
self.assertTrue(isinstance(results,list))
self.assertEqual(results[0], UploadResult('Id','Success','Created','Error'))
self.assertEqual(len(results), 3)
self.results = None
self.callback_count = 0
def save_results2(rows, failed, remaining):
self.results = rows
self.callback_count += 1
batch = len(results) / 3
self.callback_count = 0
flag = self.bulk.get_upload_results(job_id, batch_id, callback = save_results2, batch_size=batch)
self.assertTrue(self.callback_count >= 3)
with open(file_name, 'w+', encoding='utf-8') as csv_file:
write_header = csv.writer(csv_file)
write_header.writerow(config.csv_header)
# Create the time_log file that will be used for the daily delta date comparison
time_log = open("run_time.txt", "a")
time_log.write(run_time + "\n")
# Create the log file and write the time the program is run
log = open("log.txt", "a")
log.write("\n" + "|---------------------------------------|" + "\n")
log.write("PROGRAM STARTED: "),log.write(datetime.now().ctime())
log.write("\n" + "|---------------------------------------|" + "\n")
# Set the Salesforce username, password, and token
sf = SalesforceBulk(username=config.salesforce["username"], password=config.salesforce["password"],
sandbox=True, security_token=config.salesforce["token"])
try:
# Set the sftp hostkeys (if any)
cnopts = pysftp.CnOpts()
cnopts.hostkeys = None
except Exception as e:
pass
else:
pass
# Set the sftp host, username, and password (optional paramter: port="22")
sftp = pysftp.Connection(host=config.sftp["host"], username=config.sftp["username"],
password=config.sftp["password"], cnopts=cnopts)
# Build a dynamic User list, format the string, and create a variable that can be used in the SOQL filter
def test_upload_with_mapping_file(self):
if self.contentType != 'CSV':
print('Mapping file can only be used with CSV content')
return
bulk = SalesforceBulk(self.sessionId, self.endpoint)
self.bulk = bulk
job_id = bulk.create_insert_job("Contact", contentType=self.contentType)
self.jobs.append(job_id)
self.assertIsNotNone(re.match("\w+", job_id))
batch_ids = []
data = [
{
'Not FirstName': 'BulkTestFirst%s' % i,
'Arbitrary Field': 'BulkLastName',
'Phone': '555-555-5555',
} for i in range(50)
]
mapping_data = [
{
"Salesforce Field": "FirstName",
"Csv Header": "NotFirstName",
"Value": "",
"Hint": ""
},
{
"Salesforce Field": "Phone",
"Csv Header": "Phone",
"Value": "",
"Hint": ""
},
{
"Salesforce Field": "LastName",
"Csv Header": "Arbitrary Field",
"Value": "",
"Hint": ""
}
]
mapping_data = self.generate_content(mapping_data)
bulk.post_mapping_file(job_id,mapping_data)
for i in range(2):
content = self.generate_content(data)
batch_id = bulk.post_batch(job_id, content)
self.assertIsNotNone(re.match("\w+", batch_id))
batch_ids.append(batch_id)
bulk.close_job(job_id)
for batch_id in batch_ids:
bulk.wait_for_batch(job_id, batch_id, timeout=120)
for batch_id in batch_ids:
results = bulk.get_batch_results(batch_id)
print(results)
self.assertTrue(len(results) > 0)
self.assertTrue(isinstance(results, list))
self.assertTrue(isinstance(results[0], UploadResult))
self.assertEqual(len(results), 50)
# ID Extraction from Salesforce and saving to local
import json
from salesforce_bulk import SalesforceBulk
from salesforce_bulk.util import IteratorBytesIO
from time import sleep
from salesforce_bulk import CsvDictsAdapter
import pandas as pd
import unicodecsv
import config as cfg
#Authentication
bulk = SalesforceBulk(username=cfg.USERNAME,
password=cfg.PASSWORD,
security_token=cfg.SECURITY_KEY,
sandbox=True)
#Source CSV File path for Account
input_file = "/home/baadmin/NCT_ETL/input_files/pg_extract_prd/InstallmentId_sf.csv"
#Target SFDC Object name
target_obj = "cpm__Installment__c"
# Mapping of Input csv Fields to SalesForce Fields
sf_fields = ['Contact_Key__c', 'cpm__Contact__c', 'Installment_Key__c', 'Id']
# Extract the data from salesforce and save it to csv
job = bulk.create_query_job(target_obj, contentType='CSV')
sql = "SELECT " + ",".join(sf_fields) + " FROM " + target_obj
batch = bulk.query(job, sql)
class SalesforceBulkTests(unittest.TestCase):
def setUp(self):
request_patcher = mock.patch('simple_salesforce.api.requests')
self.mockrequest = request_patcher.start()
self.addCleanup(request_patcher.stop)
self.sessionId = '12345'
self.host = 'https://example.com'
self.bulk = SalesforceBulk(self.sessionId, self.host)
def test_headers_default(self):
self.assertEqual(
self.bulk.headers(),
{
'X-SFDC-Session': self.sessionId,
'Content-Type': 'application/xml; charset=UTF-8',
'Accept-Encoding': 'gzip',
}
)
def test_headers_json(self):
self.assertEqual(
self.bulk.headers(content_type='application/json'),
{
'X-SFDC-Session': self.sessionId,
'Content-Type': 'application/json; charset=UTF-8',
'Accept-Encoding': 'gzip',
}
)
def test_create_job_doc(self):
doc = self.bulk.create_job_doc(
'Contact', 'insert'
)
tree = ET.fromstring(doc)
operation = tree.findtext('{%s}operation' % self.bulk.jobNS)
self.assertEqual(operation, 'insert')
obj = tree.findtext('{%s}object' % self.bulk.jobNS)
self.assertEqual(obj, 'Contact')
contentType = tree.findtext('{%s}contentType' % self.bulk.jobNS)
self.assertEqual(contentType, 'CSV')
concurrencyMode = tree.findtext('{%s}concurrencyMode' % self.bulk.jobNS)
self.assertIsNone(concurrencyMode)
extIdField = tree.findtext('{%s}externalIdFieldName' % self.bulk.jobNS)
self.assertIsNone(extIdField)
def test_create_job_doc_concurrency(self):
doc = self.bulk.create_job_doc(
'Contact', 'insert', concurrency='Serial'
)
tree = ET.fromstring(doc)
operation = tree.findtext('{%s}operation' % self.bulk.jobNS)
self.assertEqual(operation, 'insert')
obj = tree.findtext('{%s}object' % self.bulk.jobNS)
self.assertEqual(obj, 'Contact')
contentType = tree.findtext('{%s}contentType' % self.bulk.jobNS)
self.assertEqual(contentType, 'CSV')
concurrencyMode = tree.findtext('{%s}concurrencyMode' % self.bulk.jobNS)
self.assertEqual(concurrencyMode, 'Serial')
extIdField = tree.findtext('{%s}externalIdFieldName' % self.bulk.jobNS)
self.assertIsNone(extIdField)
def test_create_job_doc_external_id(self):
doc = self.bulk.create_job_doc(
'Contact', 'upsert', external_id_name='ext_id__c'
)
tree = ET.fromstring(doc)
operation = tree.findtext('{%s}operation' % self.bulk.jobNS)
self.assertEqual(operation, 'upsert')
obj = tree.findtext('{%s}object' % self.bulk.jobNS)
self.assertEqual(obj, 'Contact')
contentType = tree.findtext('{%s}contentType' % self.bulk.jobNS)
self.assertEqual(contentType, 'CSV')
concurrencyMode = tree.findtext('{%s}concurrencyMode' % self.bulk.jobNS)
self.assertIsNone(concurrencyMode)
extIdField = tree.findtext('{%s}externalIdFieldName' % self.bulk.jobNS)
self.assertEqual(extIdField, 'ext_id__c')
def test_create_job_doc_json(self):
doc = self.bulk.create_job_doc(
'Contact', 'insert', contentType='JSON'
)
tree = ET.fromstring(doc)
operation = tree.findtext('{%s}operation' % self.bulk.jobNS)
self.assertEqual(operation, 'insert')
obj = tree.findtext('{%s}object' % self.bulk.jobNS)
self.assertEqual(obj, 'Contact')
contentType = tree.findtext('{%s}contentType' % self.bulk.jobNS)
self.assertEqual(contentType, 'JSON')
concurrencyMode = tree.findtext('{%s}concurrencyMode' % self.bulk.jobNS)
self.assertIsNone(concurrencyMode)
extIdField = tree.findtext('{%s}externalIdFieldName' % self.bulk.jobNS)
self.assertIsNone(extIdField)
def test_create_close_job_doc(self):
doc = self.bulk.create_close_job_doc()
tree = ET.fromstring(doc)
state = tree.findtext('{%s}state' % self.bulk.jobNS)
self.assertEqual(state, 'Closed')
def test_create_abort_job_doc(self):
doc = self.bulk.create_abort_job_doc()
tree = ET.fromstring(doc)
state = tree.findtext('{%s}state' % self.bulk.jobNS)
self.assertEqual(state, 'Aborted')
def test_pickle_roundtrip_bulk_api_error_no_status(self):
s = pickle.dumps(BulkApiError('message'))
e = pickle.loads(s)
assert e.__class__ is BulkApiError
assert e.args[0] == 'message'
assert e.status_code is None
def test_pickle_roundtrip_bulk_api_error_no_status_code(self):
s = pickle.dumps(BulkApiError('message', 400))
e = pickle.loads(s)
assert e.__class__ is BulkApiError
assert e.args[0] == 'message'
assert e.status_code == 400
def test_pickle_roundtrip_bulk_job_aborted(self):
orig = BulkJobAborted('sfid1234')
s = pickle.dumps(orig)
e = pickle.loads(s)
assert e.__class__ is BulkJobAborted
assert e.job_id == 'sfid1234'
assert 'sfid1234' in e.args[0]
assert e.args[0] == orig.args[0]
def test_pickle_roundtrip_bulk_batch_failed(self):
orig = BulkBatchFailed('sfid1234', 'sfid5678', 'some thing happened')
s = pickle.dumps(orig)
e = pickle.loads(s)
assert e.__class__ is BulkBatchFailed
assert e.job_id == 'sfid1234'
assert e.batch_id == 'sfid5678'
assert e.state_message == 'some thing happened'
assert 'sfid1234' in e.args[0]
assert 'sfid5678' in e.args[0]
assert 'some thing happened' in e.args[0]
assert orig.args[0] == e.args[0]