hiplab/data-transport
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data-transport
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Merge pull request #5 from lnyemba/dev 

bug fixes: SQlite & mongodb
This commit is contained in:
Steve L. Nyemba 2023-12-21 17:54:07 -06:00 committed by GitHub
parent 7b25e392b0 fbfaaebbdc
commit ac5d64242d
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14 changed files with 926 additions and 430 deletions
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178
bin/transport
View File

@ -14,19 +14,27 @@ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLI
Usage :
transport --config <path-to-file.json> --procs <number-procs>
@TODO: Create tables if they don't exist for relational databases
example of configuration :
transport help -- will print this page
1. Move data from a folder to a data-store
transport [--folder <path> ] --config <config.json> #-- assuming the configuration doesn't have folder
transport --folder <path> --provider <postgresql|mongo|sqlite> --<database|db> <name> --table|doc <document_name>
In this case the configuration should look like :
{folder:..., target:{}}
2. Move data from one source to another
transport --config <file.json>
{source:{..},target:{..}} or [{source:{..},target:{..}},{source:{..},target:{..}}]
transport move <path> [index]
<path> path to the configuration file
<index> optional index within the configuration file
e.g: configuration file (JSON formatted)
- single source to a single target
{"source":{"provider":"http","url":"https://cdn.wsform.com/wp-content/uploads/2020/06/agreement.csv"}
"target":{"provider":"sqlite3","path":"transport-demo.sqlite","table":"agreement"}
}
- single source to multiple targets
{
"source":{"provider":"http","url":"https://cdn.wsform.com/wp-content/uploads/2020/06/agreement.csv"},
"target":[
{"provider":"sqlite3","path":"transport-demo.sqlite","table":"agreement},
{"provider":"mongodb","db":"transport-demo","collection":"agreement"}
]
}
"""
import pandas as pd
@ -36,51 +44,123 @@ import sys
import transport
import time
from multiprocessing import Process
SYS_ARGS = {}
if len(sys.argv) > 1:
import typer
import os
import transport
from transport import etl
from transport import providers
N = len(sys.argv)
for i in range(1,N):
value = None
if sys.argv[i].startswith('--'):
key = sys.argv[i][2:] #.replace('-','')
SYS_ARGS[key] = 1
if i + 1 < N:
value = sys.argv[i + 1] = sys.argv[i+1].strip()
if key and value and not value.startswith('--'):
SYS_ARGS[key] = value
# SYS_ARGS = {}
# if len(sys.argv) > 1:
# N = len(sys.argv)
# for i in range(1,N):
# value = None
# if sys.argv[i].startswith('--'):
# key = sys.argv[i][2:] #.replace('-','')
# SYS_ARGS[key] = 1
# if i + 1 < N:
# value = sys.argv[i + 1] = sys.argv[i+1].strip()
# if key and value and not value.startswith('--'):
# SYS_ARGS[key] = value
i += 2
# i += 2
if __name__ == '__main__' :
#
# Load information from the file ...
if 'help' in SYS_ARGS :
app = typer.Typer()
# @app.command()
def help() :
print (__doc__)
else:
try:
_info = json.loads(open(SYS_ARGS['config']).read())
if 'index' in SYS_ARGS :
_index = int(SYS_ARGS['index'])
_info = [_item for _item in _info if _info.index(_item) == _index]
pass
elif 'id' in SYS_ARGS :
_info = [_item for _item in _info if 'id' in _item and _item['id'] == SYS_ARGS['id']]
procs = 1 if 'procs' not in SYS_ARGS else int(SYS_ARGS['procs'])
jobs = transport.factory.instance(provider='etl',info=_info,procs=procs)
print ([len(jobs),' Jobs are running'])
N = len(jobs)
def wait(jobs):
while jobs :
x = len(jobs)
jobs = [_job for _job in jobs if _job.is_alive()]
if x != len(jobs) :
print ([len(jobs),'... jobs still running'])
jobs = [thread for thread in jobs if thread.is_alive()]
time.sleep(1)
print ([N,' Finished running'])
except Exception as e:
print (e)
@app.command()
def move (path,index=None):
_proxy = lambda _object: _object.write(_object.read())
if os.path.exists(path):
file = open(path)
_config = json.loads (file.read() )
file.close()
if index :
_config = _config[ int(index)]
etl.instance(**_config)
else:
etl.instance(config=_config)
#
# if type(_config) == dict :
# _object = transport.etl.instance(**_config)
# _proxy(_object)
# else:
# #
# # here we are dealing with a list of objects (long ass etl job)
# jobs = []
# failed = []
# for _args in _config :
# if index and _config.index(_args) != index :
# continue
# _object=transport.etl.instance(**_args)
# thread = Process(target=_proxy,args=(_object,))
# thread.start()
# jobs.append(thread())
# if _config.index(_args) == 0 :
# thread.join()
# wait(jobs)
@app.command()
def version():
print (transport.version.__version__)
@app.command()
def generate (path:str):
"""
This function will generate a configuration template to give a sense of how to create one
"""
_config = [
{
"source":{"provider":"http","url":"https://raw.githubusercontent.com/codeforamerica/ohana-api/master/data/sample-csv/addresses.csv"},
"target":
[{"provider":"file","path":"addresses.csv","delimiter":"csv"},{"provider":"sqlite","database":"sample.db3","table":"addresses"}]
}
]
file = open(path,'w')
file.write(json.dumps(_config))
file.close()
@app.command()
def usage():
print (__doc__)
if __name__ == '__main__' :
app()
# #
# # Load information from the file ...
# if 'help' in SYS_ARGS :
# print (__doc__)
# else:
# try:
# _info = json.loads(open(SYS_ARGS['config']).read())
# if 'index' in SYS_ARGS :
# _index = int(SYS_ARGS['index'])
# _info = [_item for _item in _info if _info.index(_item) == _index]
# pass
# elif 'id' in SYS_ARGS :
# _info = [_item for _item in _info if 'id' in _item and _item['id'] == SYS_ARGS['id']]
# procs = 1 if 'procs' not in SYS_ARGS else int(SYS_ARGS['procs'])
# jobs = transport.factory.instance(provider='etl',info=_info,procs=procs)
# print ([len(jobs),' Jobs are running'])
# N = len(jobs)
# while jobs :
# x = len(jobs)
# jobs = [_job for _job in jobs if _job.is_alive()]
# if x != len(jobs) :
# print ([len(jobs),'... jobs still running'])
# time.sleep(1)
# print ([N,' Finished running'])
# except Exception as e:
# print (e)

2
setup.py
View File

@ -17,7 +17,7 @@ args = {
"license":"MIT",
"packages":["transport"]}
args["keywords"]=['mongodb','couchdb','rabbitmq','file','read','write','s3','sqlite']
args["install_requires"] = ['pymongo','sqlalchemy<2.0.0','pandas','pandas-gbq','numpy','cloudant','pika','nzpy','boto3','boto','pyarrow','google-cloud-bigquery','google-cloud-bigquery-storage','flask-session','smart_open','botocore','psycopg2-binary','mysql-connector-python']
args["install_requires"] = ['pyncclient','pymongo','sqlalchemy<2.0.0','pandas','typer','pandas-gbq','numpy','cloudant','pika','nzpy','boto3','boto','pyarrow','google-cloud-bigquery','google-cloud-bigquery-storage','flask-session','smart_open','botocore','psycopg2-binary','mysql-connector-python']
args["url"] = "https://healthcareio.the-phi.com/git/code/transport.git"
args['scripts'] = ['bin/transport']
if sys.version_info[0] == 2 :

99
transport/__init__.py
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@ -27,8 +27,9 @@ import json
import importlib
import sys
import sqlalchemy
from datetime import datetime
if sys.version_info[0] > 2 :
from transport.common import Reader, Writer,Console #, factory
# from transport.common import Reader, Writer,Console #, factory
from transport import disk
from transport import s3 as s3
@ -83,21 +84,24 @@ import os
# PGSQL = POSTGRESQL
# import providers
class IEncoder (json.JSONEncoder):
def default (self,object):
# class IEncoder (json.JSONEncoder):
def IEncoder (self,object):
if type(object) == np.integer :
return int(object)
elif type(object) == np.floating:
return float(object)
elif type(object) == np.ndarray :
return object.tolist()
elif type(object) == datetime :
return o.isoformat()
else:
return super(IEncoder,self).default(object)
class factory :
TYPE = {"sql":{"providers":["postgresql","mysql","neteeza","bigquery","mariadb","redshift"]}}
PROVIDERS = {
"etl":{"class":{"read":etl.instance,"write":etl.instance}},
"console":{"class":{"write":Console,"read":Console}},
# "console":{"class":{"write":Console,"read":Console}},
"file":{"class":{"read":disk.DiskReader,"write":disk.DiskWriter}},
"sqlite":{"class":{"read":disk.SQLiteReader,"write":disk.SQLiteWriter}},
"postgresql":{"port":5432,"host":"localhost","database":None,"driver":pg,"default":{"type":"VARCHAR"},"class":{"read":sql.SQLReader,"write":sql.SQLWriter}},
@ -124,6 +128,9 @@ class factory :
#
# Legacy code being returned
return factory._instance(**_args);
else:
return instance(**_args)
@staticmethod
@ -157,27 +164,49 @@ class factory :
return anObject
import time
def instance(**_args):
def instance(**_pargs):
"""
creating an instance given the provider, we should have an idea of :class, :driver
:provider
:read|write = {connection to the database}
"""
_provider = _args['provider']
_group = None
#
# @TODO: provide authentication file that will hold all the parameters, that will later on be used
#
_args = dict(_pargs,**{})
if 'auth_file' in _args :
path = _args['auth_file']
file = open(path)
_config = json.loads( file.read())
_args = dict(_args,**_config)
file.close()
for _id in providers.CATEGORIES :
if _provider in providers.CATEGORIES[_id] :
_group = _id
break
if _group :
_classPointer = _getClassInstance(_group,**_args)
_provider = _args['provider']
_context = list( set(['read','write','listen']) & set(_args.keys()) )
if _context :
_context = _context[0]
else:
_context = _args['context'] if 'context' in _args else 'read'
# _group = None
# for _id in providers.CATEGORIES :
# if _provider in providers.CATEGORIES[_id] :
# _group = _id
# break
# if _group :
if _provider in providers.PROVIDERS and _context in providers.PROVIDERS[_provider]:
# _classPointer = _getClassInstance(_group,**_args)
_classPointer = providers.PROVIDERS[_provider][_context]
#
# Let us reformat the arguments
if 'read' in _args or 'write' in _args :
_args = _args['read'] if 'read' in _args else _args['write']
_args['provider'] = _provider
if _group == 'sql' :
# if 'read' in _args or 'write' in _args :
# _args = _args['read'] if 'read' in _args else _args['write']
# _args['provider'] = _provider
# if _group == 'sql' :
if _provider in providers.CATEGORIES['sql'] :
_info = _get_alchemyEngine(**_args)
_args = dict(_args,**_info)
@ -202,12 +231,20 @@ def _get_alchemyEngine(**_args):
This function returns the SQLAlchemy engine associated with parameters, This is only applicable for SQL _items
:_args arguments passed to the factory {provider and other}
"""
_provider = _args['provider']
_pargs = {}
if _provider == providers.SQLITE3 :
_path = _args['database'] if 'database' in _args else _args['path']
uri = ''.join([_provider,':///',_path])
else:
#@TODO: Enable authentication files (private_key)
_username = _args['username'] if 'username' in _args else ''
_password = _args['password'] if 'password' in _args else ''
_account = _args['account'] if 'account' in _args else ''
_database = _args['database']
_provider = _args['provider']
_database = _args['database'] if 'database' in _args else _args['path']
if _username != '':
_account = _username + ':'+_password+'@'
_host = _args['host'] if 'host' in _args else ''
@ -229,31 +266,33 @@ def _get_alchemyEngine(**_args):
uri = ''.join([_provider,"://",_account,_fhost,'/',_database])
_pargs = {'host':_host,'port':_port,'username':_username,'password':_password}
_engine = sqlalchemy.create_engine (uri,future=True)
_out = {'sqlalchemy':_engine}
_pargs = {'host':_host,'port':_port,'username':_username,'password':_password}
for key in _pargs :
if _pargs[key] != '' :
_out[key] = _pargs[key]
return _out
@DeprecationWarning
def _getClassInstance(_group,**_args):
"""
This function returns the class instance we are attempting to instanciate
:_group items in providers.CATEGORIES.keys()
:_args arguments passed to the factory class
"""
if 'read' in _args or 'write' in _args :
_context = 'read' if 'read' in _args else _args['write']
_info = _args[_context]
else:
_context = _args['context'] if 'context' in _args else 'read'
_class = providers.READ[_group] if _context == 'read' else providers.WRITE[_group]
if type(_class) == dict and _args['provider'] in _class:
_class = _class[_args['provider']]
# if 'read' in _args or 'write' in _args :
# _context = 'read' if 'read' in _args else _args['write']
# _info = _args[_context]
# else:
# _context = _args['context'] if 'context' in _args else 'read'
# _class = providers.READ[_group] if _context == 'read' else providers.WRITE[_group]
# if type(_class) == dict and _args['provider'] in _class:
# _class = _class[_args['provider']]
return _class
# return _class
@DeprecationWarning
def __instance(**_args):
"""

111
transport/bricks.py Normal file
View File

@ -0,0 +1,111 @@
"""
This file implements databricks handling, This functionality will rely on databricks-sql-connector
LICENSE (MIT)
Copyright 2016-2020, The Phi Technology LLC
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
@TODO:
- Migrate SQLite to SQL hierarchy
- Include Write in Chunks from pandas
"""
import os
import sqlalchemy
from transport.common import Reader,Writer
import pandas as pd
class Bricks:
"""
:host
:token
:database
:cluster_path
:table
"""
def __init__(self,**_args):
_host = _args['host']
_token= _args['token']
_cluster_path = _args['cluster_path']
self._schema = _args['schema'] if 'schema' in _args else _args['database']
_catalog = _args['catalog']
self._table = _args['table'] if 'table' in _args else None
#
# @TODO:
# Sometimes when the cluster isn't up and running it takes a while, the user should be alerted of this
#
_uri = f'''databricks://token:{_token}@{_host}?http_path={_cluster_path}&catalog={_catalog}&schema={self._schema}'''
self._engine = sqlalchemy.create_engine (_uri)
pass
def meta(self,**_args):
table = _args['table'] if 'table' in _args else self._table
if not table :
return []
else:
if sqlalchemy.__version__.startswith('1.') :
_m = sqlalchemy.MetaData(bind=self._engine)
_m.reflect(only=[table])
else:
_m = sqlalchemy.MetaData()
_m.reflect(bind=self._engine)
#
# Let's retrieve te information associated with a table
#
return [{'name':_attr.name,'type':_attr.type} for _attr in _m.tables[table].columns]
def has(self,**_args):
return self.meta(**_args)
def apply(self,_sql):
try:
if _sql.lower().startswith('select') :
return pd.read_sql(_sql,self._engine)
except Exception as e:
pass
class BricksReader(Bricks,Reader):
"""
This class is designed for reads and will execute reads against a table name or a select SQL statement
"""
def __init__(self,**_args):
super().__init__(**_args)
def read(self,**_args):
limit = None if 'limit' not in _args else str(_args['limit'])
if 'sql' in _args :
sql = _args['sql']
elif 'table' in _args :
table = _args['table']
sql = f'SELECT * FROM {table}'
if limit :
sql = sql + f' LIMIT {limit}'
if 'sql' in _args or 'table' in _args :
return self.apply(sql)
else:
return pd.DataFrame()
pass
class BricksWriter(Bricks,Writer):
def __init__(self,**_args):
super().__init__(**_args)
def write(self,_data,**_args):
"""
This data will write data to data-bricks against a given table. If the table is not specified upon initiazation, it can be specified here
_data: data frame to push to databricks
_args: chunks, table, schema
"""
_schema = self._schema if 'schema' not in _args else _args['schema']
_table = self._table if 'table' not in _args else _args['table']
_df = _data if type(_data) == pd.DataFrame else _data
if type(_df) == dict :
_df = [_df]
if type(_df) == list :
_df = pd.DataFrame(_df)
_df.to_sql(
name=_table,schema=_schema,
con=self._engine,if_exists='append',index=False);
pass

61
transport/common.py
View File

@ -25,7 +25,7 @@ from multiprocessing import RLock
import queue
# import couch
# import mongo
from datetime import datetime
class IO:
def init(self,**args):
@ -39,6 +39,19 @@ class IO:
continue
value = args[field]
setattr(self,field,value)
class IEncoder (json.JSONEncoder):
def default (self,object):
if type(object) == np.integer :
return int(object)
elif type(object) == np.floating:
return float(object)
elif type(object) == np.ndarray :
return object.tolist()
elif type(object) == datetime :
return object.isoformat()
else:
return super(IEncoder,self).default(object)
class Reader (IO):
"""
This class is an abstraction of a read functionalities of a data store
@ -93,29 +106,29 @@ class ReadWriter(Reader,Writer) :
This class implements the read/write functions aggregated
"""
pass
class Console(Writer):
lock = RLock()
def __init__(self,**_args):
self.lock = _args['lock'] if 'lock' in _args else False
self.info = self.write
self.debug = self.write
self.log = self.write
pass
def write (self,logs=None,**_args):
if self.lock :
Console.lock.acquire()
try:
_params = _args if logs is None and _args else logs
if type(_params) == list:
for row in _params :
print (row)
else:
print (_params)
except Exception as e :
print (e)
finally:
if self.lock :
Console.lock.release()
# class Console(Writer):
# lock = RLock()
# def __init__(self,**_args):
# self.lock = _args['lock'] if 'lock' in _args else False
# self.info = self.write
# self.debug = self.write
# self.log = self.write
# pass
# def write (self,logs=None,**_args):
# if self.lock :
# Console.lock.acquire()
# try:
# _params = _args if logs is None and _args else logs
# if type(_params) == list:
# for row in _params :
# print (row)
# else:
# print (_params)
# except Exception as e :
# print (e)
# finally:
# if self.lock :
# Console.lock.release()
"""

87
transport/disk.py
View File

@ -12,6 +12,8 @@ import json
import sqlite3
import pandas as pd
from multiprocessing import Lock
from transport.common import Reader, Writer, IEncoder
class DiskReader(Reader) :
"""
This class is designed to read data from disk (location on hard drive)
@ -62,34 +64,25 @@ class DiskWriter(Writer):
"""
THREAD_LOCK = Lock()
def __init__(self,**params):
Writer.__init__(self)
self.cache['meta'] = {'cols':0,'rows':0,'delimiter':None}
if 'path' in params:
self.path = params['path']
else:
self.path = 'data-transport.log'
self.delimiter = params['delimiter'] if 'delimiter' in params else None
# if 'name' in params:
# self.name = params['name'];
# else:
# self.name = 'data-transport.log'
# if os.path.exists(self.path) == False:
# os.mkdir(self.path)
def meta(self):
return self.cache['meta']
def isready(self):
"""
This function determines if the class is ready for execution or not
i.e it determines if the preconditions of met prior execution
"""
return True
# p = self.path is not None and os.path.exists(self.path)
# q = self.name is not None
# return p and q
def format (self,row):
self.cache['meta']['cols'] += len(row) if isinstance(row,list) else len(row.keys())
self.cache['meta']['rows'] += 1
return (self.delimiter.join(row) if self.delimiter else json.dumps(row))+"\n"
super().__init__()
self._path = params['path']
self._delimiter = params['delimiter'] if 'delimiter' in params else None
self._mode = 'w' if 'mode' not in params else params['mode']
# def meta(self):
# return self.cache['meta']
# def isready(self):
# """
# This function determines if the class is ready for execution or not
# i.e it determines if the preconditions of met prior execution
# """
# return True
# # p = self.path is not None and os.path.exists(self.path)
# # q = self.name is not None
# # return p and q
# def format (self,row):
# self.cache['meta']['cols'] += len(row) if isinstance(row,list) else len(row.keys())
# self.cache['meta']['rows'] += 1
# return (self.delimiter.join(row) if self.delimiter else json.dumps(row))+"\n"
def write(self,info,**_args):
"""
This function writes a record to a designated file
@ -97,21 +90,15 @@ class DiskWriter(Writer):
@param row row to be written
"""
try:
_mode = 'a' if 'overwrite' not in _args else 'w'
DiskWriter.THREAD_LOCK.acquire()
f = open(self.path,_mode)
if self.delimiter :
if type(info) == list :
for row in info :
f.write(self.format(row))
else:
f.write(self.format(info))
else:
if not type(info) == str :
f.write(json.dumps(info)+"\n")
else:
f.write(info)
f.close()
_delim = self._delimiter if 'delimiter' not in _args else _args['delimiter']
_path = self._path if 'path' not in _args else _args['path']
_mode = self._mode if 'mode' not in _args else _args['mode']
info.to_csv(_path,index=False,sep=_delim)
pass
except Exception as e:
#
# Not sure what should be done here ...
@ -220,18 +207,25 @@ class SQLiteWriter(SQLite,DiskWriter) :
#
# If the table doesn't exist we should create it
#
def write(self,info):
def write(self,info,**_args):
"""
"""
if not self.fields :
self.init(list(info.keys()))
#if not self.fields :
# #if type(info) == pd.DataFrame :
# # _columns = list(info.columns)
# #self.init(list(info.keys()))
if type(info) == dict :
info = [info]
elif type(info) == pd.DataFrame :
info = info.fillna('')
info = info.to_dict(orient='records')
if not self.fields :
_rec = info[0]
self.init(list(_rec.keys()))
SQLiteWriter.LOCK.acquire()
try:
@ -239,7 +233,8 @@ class SQLiteWriter(SQLite,DiskWriter) :
sql = " " .join(["INSERT INTO ",self.table,"(", ",".join(self.fields) ,")", "values(:values)"])
for row in info :
stream =["".join(["",value,""]) if type(value) == str else value for value in row.values()]
stream = json.dumps(stream).replace("[","").replace("]","")
stream = json.dumps(stream,cls=IEncoder)
stream = stream.replace("[","").replace("]","")
self.conn.execute(sql.replace(":values",stream) )

469
transport/etl.py
View File

@ -35,6 +35,9 @@ import json
import sys
import transport
import time
import os
from multiprocessing import Process
SYS_ARGS = {}
if len(sys.argv) > 1:
@ -52,199 +55,303 @@ if len(sys.argv) > 1:
i += 2
class Post(Process):
def __init__(self,**args):
super().__init__()
self.store = args['target']
if 'provider' not in args['target'] :
pass
self.PROVIDER = args['target']['type']
# self.writer = transport.factory.instance(**args['target'])
else:
self.PROVIDER = args['target']['provider']
self.store['context'] = 'write'
# self.store = args['target']
self.store['lock'] = True
# self.writer = transport.instance(**args['target'])
#
# If the table doesn't exists maybe create it ?
#
self.rows = args['rows']
# self.rows = args['rows'].fillna('')
def log(self,**_args) :
if ETL.logger :
ETL.logger.info(**_args)
def run(self):
_info = {"values":self.rows} if 'couch' in self.PROVIDER else self.rows
writer = transport.factory.instance(**self.store)
writer.write(_info)
writer.close()
class ETL (Process):
logger = None
class Transporter(Process):
"""
The transporter (Jason Stathem) moves data from one persistant store to another
- callback functions
:onFinish callback function when finished
:onError callback function when an error occurs
:source source data specification
:target destination(s) to move the data to
"""
def __init__(self,**_args):
super().__init__()
self.name = _args['id'] if 'id' in _args else 'UNREGISTERED'
# if 'provider' not in _args['source'] :
# #@deprecate
# self.reader = transport.factory.instance(**_args['source'])
# else:
# #
# # This is the new interface
# _args['source']['context'] = 'read'
# self.reader = transport.instance(**_args['source'])
#
# do we have an sql query provided or not ....
# self.sql = _args['source']['sql'] if 'sql' in _args['source'] else None
# self.cmd = _args['source']['cmd'] if 'cmd' in _args['source'] else None
# self._oargs = _args['target'] #transport.factory.instance(**_args['target'])
# self.onfinish = _args['onFinish']
# self._onerror = _args['onError']
self._source = _args['source']
self._target = _args['target']
self._source['context'] = 'read'
self._target['context'] = 'write'
self.JOB_COUNT = _args['jobs']
self.jobs = []
# self.logger = transport.factory.instance(**_args['logger'])
def log(self,**_args) :
if ETL.logger :
ETL.logger.info(**_args)
def run(self):
# if self.cmd :
# idf = self.reader.read(**self.cmd)
# else:
# idf = self.reader.read()
# idf = pd.DataFrame(idf)
# # idf = idf.replace({np.nan: None}, inplace = True)
# idf.columns = [str(name).replace("b'",'').replace("'","").strip() for name in idf.columns.tolist()]
# self.log(rows=idf.shape[0],cols=idf.shape[1],jobs=self.JOB_COUNT)
#
# writing the data to a designated data source
#
try:
# Let's insure we can support multiple targets
self._target = [self._target] if type(self._target) != list else self._target
_log = {"name":self.name,"rows":{"input":0,"output":0}}
pass
def read(self,**_args):
"""
This function
"""
_reader = transport.factory.instance(**self._source)
if 'table' in self._source :
_df = _reader.read()
else:
_df = _reader.read(**self._source['cmd'])
_log['rows']['input'] = _df.shape[0]
#
# Let's write the input data-frame to the target ...
_writer = transport.factory.instance(**self._target)
_writer.write(_df)
_log['rows']['output'] = _df.shape[0]
# If arguments are provided then a query is to be executed (not just a table dump)
return _reader.read() if 'args' not in self._source else _reader.read(**self._source['args'])
# self.log(module='write',action='partitioning',jobs=self.JOB_COUNT)
# rows = np.array_split(np.arange(0,idf.shape[0]),self.JOB_COUNT)
def _delegate_write(self,_data,**_args):
"""
This function will write a data-frame to a designated data-store, The function is built around a delegation design pattern
:data data-frame or object to be written
"""
if _data.shape[0] > 0 :
for _target in self._target :
if 'write' not in _target :
_target['context'] = 'write'
# _target['lock'] = True
else:
# _target['write']['lock'] = True
pass
_writer = transport.factory.instance(**_target)
_writer.write(_data,**_args)
if hasattr(_writer,'close') :
_writer.close()
def write(self,_df,**_args):
"""
"""
SEGMENT_COUNT = 6
MAX_ROWS = 1000000
# _df = self.read()
_segments = np.array_split(np.range(_df.shape[0]),SEGMENT_COUNT) if _df.shape[0] > MAX_ROWS else np.array( [np.arange(_df.shape[0])])
# _index = 0
for _indexes in _segments :
_fwd_args = {} if not _args else _args
self._delegate_write(_df.iloc[_indexes],**_fwd_args)
#
# @TODO: Perhaps consider writing up each segment in a thread/process (speeds things up?)
pass
def instance(**_args):
_proxy = lambda _agent: _agent.write(_agent.read())
if 'source' in _args and 'target' in _args :
_agent = Transporter(**_args)
_proxy(_agent)
else:
_config = _args['config']
_items = [Transporter(**_item) for _item in _config ]
_MAX_JOBS = 5
_items = np.array_split(_items,_MAX_JOBS)
for _batch in _items :
jobs = []
for _item in _batch :
thread = Process(target=_proxy,args = (_item,))
thread.start()
jobs.append(thread)
while jobs :
jobs = [thread for thread in jobs if thread.is_alive()]
time.sleep(1)
pass
# class Post(Process):
# def __init__(self,**args):
# super().__init__()
# self.store = args['target']
# if 'provider' not in args['target'] :
# pass
# self.PROVIDER = args['target']['type']
# # self.writer = transport.factory.instance(**args['target'])
# else:
# self.PROVIDER = args['target']['provider']
# self.store['context'] = 'write'
# # self.store = args['target']
# self.store['lock'] = True
# # self.writer = transport.instance(**args['target'])
# #
# # If the table doesn't exists maybe create it ?
# #
# self.rows = args['rows']
# # self.rows = args['rows'].fillna('')
# def log(self,**_args) :
# if ETL.logger :
# ETL.logger.info(**_args)
# def run(self):
# _info = {"values":self.rows} if 'couch' in self.PROVIDER else self.rows
# writer = transport.factory.instance(**self.store)
# writer.write(_info)
# writer.close()
# class ETL (Process):
# logger = None
# def __init__(self,**_args):
# super().__init__()
# self.name = _args['id'] if 'id' in _args else 'UNREGISTERED'
# # if 'provider' not in _args['source'] :
# # #@deprecate
# # self.reader = transport.factory.instance(**_args['source'])
# # else:
# # #
# # # This is the new interface
# # _args['source']['context'] = 'read'
# # self.reader = transport.instance(**_args['source'])
# #
# # @TODO: locks
# for i in np.arange(self.JOB_COUNT) :
# # _id = ' '.join([str(i),' table ',self.name])
# indexes = rows[i]
# segment = idf.loc[indexes,:].copy() #.to_dict(orient='records')
# _name = "partition-"+str(i)
# if segment.shape[0] == 0 :
# continue
# # do we have an sql query provided or not ....
# # self.sql = _args['source']['sql'] if 'sql' in _args['source'] else None
# # self.cmd = _args['source']['cmd'] if 'cmd' in _args['source'] else None
# # self._oargs = _args['target'] #transport.factory.instance(**_args['target'])
# self._source = _args ['source']
# self._target = _args['target']
# self._source['context'] = 'read'
# self._target['context'] = 'write'
# proc = Post(target = self._oargs,rows = segment,name=_name)
# self.jobs.append(proc)
# proc.start()
# self.JOB_COUNT = _args['jobs']
# self.jobs = []
# # self.logger = transport.factory.instance(**_args['logger'])
# def log(self,**_args) :
# if ETL.logger :
# ETL.logger.info(**_args)
# self.log(module='write',action='working',segment=str(self.name),table=self.name,rows=segment.shape[0])
# while self.jobs :
# jobs = [job for job in proc if job.is_alive()]
# def run(self):
# # if self.cmd :
# # idf = self.reader.read(**self.cmd)
# # else:
# # idf = self.reader.read()
# # idf = pd.DataFrame(idf)
# # # idf = idf.replace({np.nan: None}, inplace = True)
# # idf.columns = [str(name).replace("b'",'').replace("'","").strip() for name in idf.columns.tolist()]
# # self.log(rows=idf.shape[0],cols=idf.shape[1],jobs=self.JOB_COUNT)
# #
# # writing the data to a designated data source
# #
# try:
# _log = {"name":self.name,"rows":{"input":0,"output":0}}
# _reader = transport.factory.instance(**self._source)
# if 'table' in self._source :
# _df = _reader.read()
# else:
# _df = _reader.read(**self._source['cmd'])
# _log['rows']['input'] = _df.shape[0]
# #
# # Let's write the input data-frame to the target ...
# _writer = transport.factory.instance(**self._target)
# _writer.write(_df)
# _log['rows']['output'] = _df.shape[0]
# # self.log(module='write',action='partitioning',jobs=self.JOB_COUNT)
# # rows = np.array_split(np.arange(0,idf.shape[0]),self.JOB_COUNT)
# # #
# # # @TODO: locks
# # for i in np.arange(self.JOB_COUNT) :
# # # _id = ' '.join([str(i),' table ',self.name])
# # indexes = rows[i]
# # segment = idf.loc[indexes,:].copy() #.to_dict(orient='records')
# # _name = "partition-"+str(i)
# # if segment.shape[0] == 0 :
# # continue
# # proc = Post(target = self._oargs,rows = segment,name=_name)
# # self.jobs.append(proc)
# # proc.start()
# # self.log(module='write',action='working',segment=str(self.name),table=self.name,rows=segment.shape[0])
# # while self.jobs :
# # jobs = [job for job in proc if job.is_alive()]
# # time.sleep(1)
# except Exception as e:
# print (e)
# self.log(**_log)
# def is_done(self):
# self.jobs = [proc for proc in self.jobs if proc.is_alive()]
# return len(self.jobs) == 0
# def instance (**_args):
# """
# path to configuration file
# """
# _path = _args['path']
# _config = {}
# jobs = []
# if os.path.exists(_path) :
# file = open(_path)
# _config = json.loads(file.read())
# file.close()
# if _config and type
# def _instance(**_args):
# """
# :path ,index, id
# :param _info list of objects with {source,target}`
# :param logger
# """
# logger = _args['logger'] if 'logger' in _args else None
# if 'path' in _args :
# _info = json.loads((open(_args['path'])).read())
# if 'index' in _args :
# _index = int(_args['index'])
# _info = _info[_index]
# elif 'id' in _args :
# _info = [_item for _item in _info if '_id' in _item and _item['id'] == _args['id']]
# _info = _info[0] if _info else _info
# else:
# _info = _args['info']
# if logger and type(logger) != str:
# ETL.logger = logger
# elif logger == 'console':
# ETL.logger = transport.factory.instance(provider='console',context='write',lock=True)
# if type(_info) in [list,dict] :
# _info = _info if type(_info) != dict else [_info]
# #
# # The assumption here is that the objects within the list are {source,target}
# jobs = []
# for _item in _info :
# _item['jobs'] = 5 if 'procs' not in _args else int(_args['procs'])
# _job = ETL(**_item)
# _job.start()
# jobs.append(_job)
# return jobs
# else:
# return None
# if __name__ == '__main__' :
# _info = json.loads(open (SYS_ARGS['config']).read())
# index = int(SYS_ARGS['index']) if 'index' in SYS_ARGS else None
# procs = []
# for _config in _info :
# if 'source' in SYS_ARGS :
# _config['source'] = {"type":"disk.DiskReader","args":{"path":SYS_ARGS['source'],"delimiter":","}}
# _config['jobs'] = 3 if 'jobs' not in SYS_ARGS else int(SYS_ARGS['jobs'])
# etl = ETL (**_config)
# if index is None:
# etl.start()
# procs.append(etl)
# elif _info.index(_config) == index :
# # print (_config)
# procs = [etl]
# etl.start()
# break
# #
# #
# N = len(procs)
# while procs :
# procs = [thread for thread in procs if not thread.is_done()]
# if len(procs) < N :
# print (["Finished ",(N-len(procs)), " remaining ", len(procs)])
# N = len(procs)
# time.sleep(1)
except Exception as e:
print (e)
self.log(**_log)
def is_done(self):
self.jobs = [proc for proc in self.jobs if proc.is_alive()]
return len(self.jobs) == 0
def instance(**_args):
"""
:path ,index, id
:param _info list of objects with {source,target}`
:param logger
"""
logger = _args['logger'] if 'logger' in _args else None
if 'path' in _args :
_info = json.loads((open(_args['path'])).read())
if 'index' in _args :
_index = int(_args['index'])
_info = _info[_index]
elif 'id' in _args :
_info = [_item for _item in _info if '_id' in _item and _item['id'] == _args['id']]
_info = _info[0] if _info else _info
else:
_info = _args['info']
if logger and type(logger) != str:
ETL.logger = logger
elif logger == 'console':
ETL.logger = transport.factory.instance(provider='console',context='write',lock=True)
if type(_info) in [list,dict] :
_info = _info if type(_info) != dict else [_info]
#
# The assumption here is that the objects within the list are {source,target}
jobs = []
for _item in _info :
_item['jobs'] = 5 if 'procs' not in _args else int(_args['procs'])
_job = ETL(**_item)
_job.start()
jobs.append(_job)
return jobs
else:
return None
if __name__ == '__main__' :
_info = json.loads(open (SYS_ARGS['config']).read())
index = int(SYS_ARGS['index']) if 'index' in SYS_ARGS else None
procs = []
for _config in _info :
if 'source' in SYS_ARGS :
_config['source'] = {"type":"disk.DiskReader","args":{"path":SYS_ARGS['source'],"delimiter":","}}
_config['jobs'] = 3 if 'jobs' not in SYS_ARGS else int(SYS_ARGS['jobs'])
etl = ETL (**_config)
if index is None:
etl.start()
procs.append(etl)
elif _info.index(_config) == index :
# print (_config)
procs = [etl]
etl.start()
break
#
#
N = len(procs)
while procs :
procs = [thread for thread in procs if not thread.is_done()]
if len(procs) < N :
print (["Finished ",(N-len(procs)), " remaining ", len(procs)])
N = len(procs)
time.sleep(1)
# print ("We're done !!")
# # print ("We're done !!")

12
transport/mongo.py
View File

@ -15,7 +15,7 @@ import gridfs
# from transport import Reader,Writer
import sys
if sys.version_info[0] > 2 :
from transport.common import Reader, Writer
from transport.common import Reader, Writer, IEncoder
else:
from common import Reader, Writer
import json
@ -95,9 +95,15 @@ class MongoReader(Mongo,Reader):
Mongo.__init__(self,**args)
def read(self,**args):
if 'mongo' in args or 'cmd' in args:
if 'mongo' in args or 'cmd' in args or 'pipeline' in args:
#
# @TODO:
cmd = {}
if 'pipeline' in args :
cmd['pipeline']= args['pipeline']
if 'aggregate' not in cmd :
cmd['aggregate'] = self.uid
if 'pipeline' not in args or 'aggregate' not in cmd :
cmd = args['mongo'] if 'mongo' in args else args['cmd']
if "aggregate" in cmd :
if "allowDiskUse" not in cmd :
@ -176,7 +182,7 @@ class MongoWriter(Mongo,Writer):
for row in rows :
if type(row['_id']) == ObjectId :
row['_id'] = str(row['_id'])
stream = Binary(json.dumps(collection).encode())
stream = Binary(json.dumps(collection,cls=IEncoder).encode())
collection.delete_many({})
now = "-".join([str(datetime.now().year()),str(datetime.now().month), str(datetime.now().day)])
name = ".".join([self.uid,'archive',now])+".json"

80
transport/nextcloud.py Normal file
View File

@ -0,0 +1,80 @@
"""
We are implementing transport to and from nextcloud (just like s3)
"""
import os
import sys
from transport.common import Reader,Writer, IEncoder
import pandas as pd
from io import StringIO
import json
import nextcloud_client as nextcloud
class Nextcloud :
def __init__(self,**_args):
pass
self._delimiter = None
self._handler = nextcloud.Client(_args['url'])
_uid = _args['uid']
_token = _args['token']
self._uri = _args['folder'] if 'folder' in _args else './'
if self._uri.endswith('/') :
self._uri = self._uri[:-1]
self._file = None if 'file' not in _args else _args['file']
self._handler.login(_uid,_token)
def close(self):
try:
self._handler.logout()
except Exception as e:
pass
class NextcloudReader(Nextcloud,Reader):
def __init__(self,**_args):
# self._file = [] if 'file' not in _args else _args['file']
super().__init__(**_args)
pass
def read(self,**_args):
_filename = self._file if 'file' not in _args else _args['file']
#
# @TODO: if _filename is none, an exception should be raised
#
_uri = '/'.join([self._uri,_filename])
if self._handler.get_file(_uri) :
#
#
_info = self._handler.file_info(_uri)
_content = self._handler.get_file_contents(_uri).decode('utf8')
if _info.get_content_type() == 'text/csv' :
#
# @TODO: enable handling of csv, xls, parquet, pickles
_file = StringIO(_content)
return pd.read_csv(_file)
else:
#
# if it is neither a structured document like csv, we will return the content as is
return _content
return None
class NextcloudWriter (Nextcloud,Writer):
"""
This class will write data to an instance of nextcloud
"""
def __init__(self,**_args) :
super().__init__(**_args)
self
def write(self,_data,**_args):
"""
This function will upload a file to a given destination
:file has the uri of the location of the file
"""
_filename = self._file if 'file' not in _args else _args['file']
_uri = '/'.join([self._uri,_filename])
if type(_data) == pd.DataFrame :
f = StringIO()
_data.to_csv(f,index=False)
_content = f.getvalue()
elif type(_data) == dict :
_content = json.dumps(_data,cls=IEncoder)
else:
_content = str(_data)
self._handler.put_file_contents(_uri,_content)

56
transport/providers.py
View File

@ -1,4 +1,4 @@
from transport.common import Reader, Writer,Console #, factory
# from transport.common import Reader, Writer,Console #, factory
from transport import disk
import sqlite3
from transport import s3 as s3
@ -8,6 +8,9 @@ from transport import mongo as mongo
from transport import sql as sql
from transport import etl as etl
from transport import qlistener
from transport import bricks
from transport import session
from transport import nextcloud
import psycopg2 as pg
import mysql.connector as my
from google.cloud import bigquery as bq
@ -26,12 +29,14 @@ SQLITE = 'sqlite'
SQLITE3= 'sqlite'
REDSHIFT = 'redshift'
NETEZZA = 'netezza'
MYSQL = 'mysql'
MYSQL = 'mysql+mysqlconnector'
RABBITMQ = 'rabbitmq'
MARIADB = 'mariadb'
COUCHDB = 'couch'
CONSOLE = 'console'
ETL = 'etl'
NEXTCLOUD = 'nextcloud'
#
# synonyms of the above
BQ = BIGQUERY
@ -45,19 +50,52 @@ AWS_S3 = 's3'
RABBIT = RABBITMQ
QLISTENER = 'qlistener'
QUEUE = QLISTENER
CALLBACK = QLISTENER
DATABRICKS= 'databricks+connector'
DRIVERS = {PG:pg,REDSHIFT:pg,MYSQL:my,MARIADB:my,NETEZZA:nz,SQLITE:sqlite3}
CATEGORIES ={'sql':[NETEZZA,PG,MYSQL,REDSHIFT,SQLITE,MARIADB],'nosql':[MONGODB,COUCHDB],'cloud':[BIGQUERY],'file':[FILE],
'queue':[RABBIT,QLISTENER],'memory':[CONSOLE,QLISTENER],'http':[HTTP]}
CATEGORIES ={'sql':[NETEZZA,PG,MYSQL,REDSHIFT,SQLITE,MARIADB],'nosql':[MONGODB,COUCHDB],'cloud':[NEXTCLOUD,S3,BIGQUERY,DATABRICKS],'file':[FILE],
'queue':[RABBIT,QLISTENER],'memory':[CONSOLE,QUEUE],'http':[HTTP]}
READ = {'sql':sql.SQLReader,'nosql':{MONGODB:mongo.MongoReader,COUCHDB:couch.CouchReader},'cloud':sql.BigQueryReader,
READ = {'sql':sql.SQLReader,'nosql':{MONGODB:mongo.MongoReader,COUCHDB:couch.CouchReader},
'cloud':{BIGQUERY:sql.BigQueryReader,DATABRICKS:bricks.BricksReader,NEXTCLOUD:nextcloud.NextcloudReader},
'file':disk.DiskReader,'queue':{RABBIT:queue.QueueReader,QLISTENER:qlistener.qListener},
'cli':{CONSOLE:Console},'memory':{CONSOLE:Console}
# 'cli':{CONSOLE:Console},'memory':{CONSOLE:Console},'http':session.HttpReader
}
WRITE = {'sql':sql.SQLWriter,'nosql':{MONGODB:mongo.MongoWriter,COUCHDB:couch.CouchWriter},'cloud':sql.BigQueryWriter,
'file':disk.DiskWriter,'queue':{RABBIT:queue.QueueWriter,QLISTENER:qlistener.qListener},'cli':{CONSOLE:Console},'memory':{CONSOLE:Console}
WRITE = {'sql':sql.SQLWriter,'nosql':{MONGODB:mongo.MongoWriter,COUCHDB:couch.CouchWriter},
'cloud':{BIGQUERY:sql.BigQueryWriter,DATABRICKS:bricks.BricksWriter,NEXTCLOUD:nextcloud.NextcloudWriter},
'file':disk.DiskWriter,'queue':{RABBIT:queue.QueueWriter,QLISTENER:qlistener.qListener},
# 'cli':{CONSOLE:Console},
# 'memory':{CONSOLE:Console}, 'http':session.HttpReader
}
# SQL_PROVIDERS = [POSTGRESQL,MYSQL,NETEZZA,MARIADB,SQLITE]
PROVIDERS = {
FILE:{'read':disk.DiskReader,'write':disk.DiskWriter},
SQLITE:{'read':disk.SQLiteReader,'write':disk.SQLiteWriter,'driver':sqlite3},
'sqlite3':{'read':disk.SQLiteReader,'write':disk.SQLiteWriter,'driver':sqlite3},
POSTGRESQL:{'read':sql.SQLReader,'write':sql.SQLWriter,'driver':pg,'default':{'host':'localhost','port':5432}},
NETEZZA:{'read':sql.SQLReader,'write':sql.SQLWriter,'driver':nz,'default':{'port':5480}},
REDSHIFT:{'read':sql.SQLReader,'write':sql.SQLWriter,'driver':pg,'default':{'host':'localhost','port':5432}},
RABBITMQ:{'read':queue.QueueReader,'writer':queue.QueueWriter,'context':queue.QueueListener,'default':{'host':'localhost','port':5432}},
MYSQL:{'read':sql.SQLReader,'write':sql.SQLWriter,'driver':my,'default':{'host':'localhost','port':3306}},
MARIADB:{'read':sql.SQLReader,'write':sql.SQLWriter,'driver':my,'default':{'host':'localhost','port':3306}},
S3:{'read':s3.s3Reader,'write':s3.s3Writer},
BIGQUERY:{'read':sql.BigQueryReader,'write':sql.BigQueryWriter},
DATABRICKS:{'read':bricks.BricksReader,'write':bricks.BricksWriter},
NEXTCLOUD:{'read':nextcloud.NextcloudReader,'write':nextcloud.NextcloudWriter},
QLISTENER:{'read':qlistener.qListener,'write':qlistener.qListener,'default':{'host':'localhost','port':5672}},
CONSOLE:{'read':qlistener.Console,"write":qlistener.Console},
HTTP:{'read':session.HttpReader,'write':session.HttpWriter},
MONGODB:{'read':mongo.MongoReader,'write':mongo.MongoWriter,'default':{'port':27017,'host':'localhost'}},
COUCHDB:{'read':couch.CouchReader,'writer':couch.CouchWriter,'default':{'host':'localhost','port':5984}},
ETL :{'read':etl.Transporter,'write':etl.Transporter}
}
DEFAULT = {PG:{'host':'localhost','port':5432},MYSQL:{'host':'localhost','port':3306}}
DEFAULT[MONGODB] = {'port':27017,'host':'localhost'}
DEFAULT[REDSHIFT] = DEFAULT[PG]

5
transport/qlistener.py
View File

@ -40,3 +40,8 @@ class qListener :
_q = qListener._queue[_id]
_q.put(_data)
_q.join()
class Console (qListener):
def __init__(self,**_args):
super().__init__(callback=print)
# self.callback = print

98
transport/session.py
View File

@ -1,54 +1,60 @@
from flask import request, session
from datetime import datetime
import re
from common import Reader, Writer
from transport.common import Reader, Writer
import json
import requests
from io import StringIO
import pandas as pd
class HttpRequestReader(Reader):
class HttpReader(Reader):
"""
This class is designed to read data from an Http request file handler provided to us by flask
The file will be heald in memory and processed accordingly
NOTE: This is inefficient and can crash a micro-instance (becareful)
"""
def __init__(self,**params):
self.file_length = 0
try:
def __init__(self,**_args):
self._url = _args['url']
self._headers = None if 'headers' not in _args else _args['headers']
#self.file = params['file']
#self.file.seek(0, os.SEEK_END)
#self.file_length = self.file.tell()
# def isready(self):
# return self.file_length > 0
def format(self,_response):
_mimetype= _response.headers['Content-Type']
if _mimetype == 'text/csv' or 'text/csv':
_content = _response.text
return pd.read_csv(StringIO(_content))
#
# @TODO: Add support for excel, JSON and other file formats that fit into a data-frame
#
#print 'size of file ',self.file_length
self.content = params['file'].readlines()
self.file_length = len(self.content)
except Exception as e:
print ("Error ... ",e)
pass
return _response.text
def read(self,**_args):
if self._headers :
r = requests.get(self._url,headers = self._headers)
else:
r = requests.get(self._url,headers = self._headers)
return self.format(r)
def isready(self):
return self.file_length > 0
def read(self,size =-1):
i = 1
for row in self.content:
i += 1
if size == i:
break
yield row
class HttpSessionWriter(Writer):
class HttpWriter(Writer):
"""
This class is designed to write data to a session/cookie
This class is designed to submit data to an endpoint (url)
"""
def __init__(self,**params):
def __init__(self,**_args):
"""
@param key required session key
"""
self.session = params['queue']
self.session['sql'] = []
self.session['csv'] = []
self.tablename = re.sub('..+$','',params['filename'])
self.session['uid'] = params['uid']
self._url = _args['url']
self._name = _args['name']
self._method = 'post' if 'method' not in _args else _args['method']
# self.session = params['queue']
# self.session['sql'] = []
# self.session['csv'] = []
# self.tablename = re.sub('..+$','',params['filename'])
# self.session['uid'] = params['uid']
#self.xchar = params['xchar']
@ -57,10 +63,26 @@ class HttpSessionWriter(Writer):
return "".join(["INSERT INTO :table VALUES('",values,"');\n"]).replace(':table',self.tablename)
def isready(self):
return True
def write(self,**params):
label = params['label']
row = params ['row']
def write(self,_data,**_args):
#
#
_method = self._method if 'method' not in _args else _args['method']
_method = _method.lower()
_mimetype = 'text/csv'
if type(_data) == dict :
_mimetype = 'application/json'
_content = _data
else:
_content = _data.to_dict(orient='records')
_headers = {'Content-Type':_mimetype}
_pointer = getattr(requests,_method)
if label == 'usable':
self.session['csv'].append(self.format(row,','))
self.session['sql'].append(self.format_sql(row))
_pointer ({self._name:_content},headers=_headers)
# label = params['label']
# row = params ['row']
# if label == 'usable':
# self.session['csv'].append(self.format(row,','))
# self.session['sql'].append(self.format_sql(row))

24
transport/sql.py
View File

@ -291,17 +291,17 @@ class SQLWriter(SQLRW,Writer):
"""
# inspect = False if 'inspect' not in _args else _args['inspect']
# cast = False if 'cast' not in _args else _args['cast']
if not self.fields :
if type(info) == list :
_fields = info[0].keys()
elif type(info) == dict :
_fields = info.keys()
elif type(info) == pd.DataFrame :
_fields = info.columns.tolist()
# if not self.fields :
# if type(info) == list :
# _fields = info[0].keys()
# elif type(info) == dict :
# _fields = info.keys()
# elif type(info) == pd.DataFrame :
# _fields = info.columns.tolist()
# _fields = info.keys() if type(info) == dict else info[0].keys()
_fields = list (_fields)
self.init(_fields)
# # _fields = info.keys() if type(info) == dict else info[0].keys()
# # _fields = list (_fields)
# self.init(_fields)
try:
table = _args['table'] if 'table' in _args else self.table
@ -431,8 +431,8 @@ class BQReader(BigQuery,Reader) :
super().__init__(**_args)
def apply(self,sql):
self.read(sql=sql)
pass
return self.read(sql=sql)
def read(self,**_args):
SQL = None
table = self.table if 'table' not in _args else _args['table']

2
transport/version.py
View File

@ -1,2 +1,2 @@
__author__ = 'The Phi Technology'
__version__= '1.8.2'
__version__= '1.9.2'