import json
import csv
from os import path
import io
import logging
import os
import re
import six
import shutil
import warnings
import zlib
import gzip
import zipfile
from civis import APIClient
from civis._utils import maybe_get_random_name
from civis.base import EmptyResultError
from civis.compat import TemporaryDirectory
from civis.futures import CivisFuture
from civis.io import civis_to_file, file_to_civis, query_civis
from civis._deprecation import deprecate_param
import requests
try:
from io import StringIO
except ImportError:
from cStringIO import StringIO
try:
import pandas as pd
NO_PANDAS = False
except ImportError:
NO_PANDAS = True
CHUNK_SIZE = 32 * 1024
log = logging.getLogger(__name__)
__all__ = ['read_civis', 'read_civis_sql', 'civis_to_csv',
'civis_to_multifile_csv', 'dataframe_to_civis', 'csv_to_civis',
'civis_file_to_table', 'split_schema_tablename',
'export_to_civis_file']
DELIMITERS = {
',': 'comma',
'\t': 'tab',
'|': 'pipe',
}
[docs]@deprecate_param('v2.0.0', 'api_key')
def read_civis(table, database, columns=None, use_pandas=False,
job_name=None, api_key=None, client=None, credential_id=None,
polling_interval=None, archive=False, hidden=True, **kwargs):
"""Read data from a Civis table.
Parameters
----------
table : str
Name of table, including schema, in the database. E.g.
``'my_schema.my_table'``. Schemas or tablenames with periods must
be double quoted, e.g. ``'my_schema."my.table"'``.
database : str or int
Read data from this database. Can be the database name or ID.
columns : list, optional
A list of column names. Column SQL transformations are possible.
If omitted, all columns are exported.
use_pandas : bool, optional
If ``True``, return a :class:`pandas:pandas.DataFrame`. Otherwise,
return a list of results from :func:`python:csv.reader`.
job_name : str, optional
A name to give the job. If omitted, a random job name will be
used.
api_key : DEPRECATED str, optional
Your Civis API key. If not given, the :envvar:`CIVIS_API_KEY`
environment variable will be used.
client : :class:`civis.APIClient`, optional
If not provided, an :class:`civis.APIClient` object will be
created from the :envvar:`CIVIS_API_KEY`.
credential_id : str or int, optional
The database credential ID. If ``None``, the default credential
will be used.
polling_interval : int or float, optional
Number of seconds to wait between checks for query completion.
archive : bool, optional (deprecated)
If ``True``, archive the import job as soon as it completes.
hidden : bool, optional
If ``True`` (the default), this job will not appear in the Civis UI.
**kwargs : kwargs
Extra keyword arguments are passed into
:func:`pandas:pandas.read_csv` if `use_pandas` is ``True`` or
passed into :func:`python:csv.reader` if `use_pandas` is
``False``.
Returns
-------
data : :class:`pandas:pandas.DataFrame` or list
A list of rows (with header as first row) if `use_pandas` is
``False``, otherwise a `pandas` `DataFrame`. Note that if
`use_pandas` is ``False``, no parsing of types is performed and
each row will be a list of strings.
Raises
------
ImportError
If `use_pandas` is ``True`` and `pandas` is not installed.
Examples
--------
>>> table = "schema.table"
>>> database = "my_data"
>>> columns = ["column_a", "ROW_NUMBER() OVER(ORDER BY date) AS order"]
>>> data = read_civis(table, database, columns=columns)
>>> columns = data.pop(0)
>>> col_a_index = columns.index("column_a")
>>> col_a = [row[col_a_index] for row in data]
>>> df = read_civis("schema.table", "my_data", use_pandas=True)
>>> col_a = df["column_a"]
See Also
--------
civis.io.read_civis_sql : Read directly into memory using SQL.
civis.io.civis_to_csv : Write directly to csv.
civis.io.export_to_civis_file : Store a SQL query's results in a Civis file
"""
if use_pandas and NO_PANDAS:
raise ImportError("use_pandas is True but pandas is not installed.")
if archive:
warnings.warn("`archive` is deprecated and will be removed in v2.0.0. "
"Use `hidden` instead.", FutureWarning)
if client is None:
# Instantiate client here in case users provide a (deprecated) api_key
client = APIClient(api_key=api_key)
sql = _get_sql_select(table, columns)
data = read_civis_sql(sql=sql, database=database, use_pandas=use_pandas,
job_name=job_name, client=client,
credential_id=credential_id,
polling_interval=polling_interval,
archive=archive, hidden=hidden, **kwargs)
return data
[docs]def export_to_civis_file(sql, database, job_name=None, client=None,
credential_id=None, polling_interval=None,
hidden=True, csv_settings=None):
"""Store results of a query to a Civis file
Parameters
----------
sql : str, optional
The SQL select string to be executed.
database : str or int
Execute the query against this database. Can be the database name
or ID.
job_name : str, optional
A name to give the job. If omitted, a random job name will be
used.
client : :class:`civis.APIClient`, optional
If not provided, an :class:`civis.APIClient` object will be
created from the :envvar:`CIVIS_API_KEY`.
credential_id : str or int, optional
The database credential ID. If ``None``, the default credential
will be used.
polling_interval : int or float, optional
Number of seconds to wait between checks for query completion.
hidden : bool, optional
If ``True`` (the default), this job will not appear in the Civis UI.
csv_settings : dict, optional
A dictionary of csv_settings to pass to
:func:`civis.APIClient.scripts.post_sql`.
Returns
-------
fut : :class:`~civis.futures.CivisFuture`
A future which returns the response from
:func:`civis.APIClient.scripts.get_sql_runs` after the sql query
has completed and the result has been stored as a Civis file.
Examples
--------
>>> sql = "SELECT * FROM schema.table"
>>> fut = export_to_civis_file(sql, "my_database")
>>> file_id = fut.result()['output'][0]["file_id"]
See Also
--------
civis.io.read_civis : Read directly into memory without SQL.
civis.io.read_civis_sql : Read results of a SQL query into memory.
civis.io.civis_to_csv : Write directly to a CSV file.
civis.io.civis_file_to_table : Upload a Civis file to a Civis table
"""
client = client or APIClient()
script_id, run_id = _sql_script(client=client,
sql=sql,
database=database,
job_name=job_name,
credential_id=credential_id,
csv_settings=csv_settings,
hidden=hidden)
fut = CivisFuture(client.scripts.get_sql_runs, (script_id, run_id),
polling_interval=polling_interval, client=client,
poll_on_creation=False)
return fut
[docs]@deprecate_param('v2.0.0', 'api_key')
def read_civis_sql(sql, database, use_pandas=False, job_name=None,
api_key=None, client=None, credential_id=None,
polling_interval=None, archive=False,
hidden=True, **kwargs):
"""Read data from Civis using a custom SQL string.
The custom SQL string will be executed twice; once to attempt to
retrieve headers and once to retrieve the data. This is done to
use a more performant method for retrieving the data. The first
execution of the custom SQL is controlled such that changes in
state cannot occur (e.g., INSERT, UPDATE, DELETE, etc.).
Parameters
----------
sql : str, optional
The SQL select string to be executed.
database : str or int
Execute the query against this database. Can be the database name
or ID.
use_pandas : bool, optional
If ``True``, return a :class:`pandas:pandas.DataFrame`. Otherwise,
return a list of results from :func:`python:csv.reader`.
job_name : str, optional
A name to give the job. If omitted, a random job name will be
used.
api_key : DEPRECATED str, optional
Your Civis API key. If not given, the :envvar:`CIVIS_API_KEY`
environment variable will be used.
client : :class:`civis.APIClient`, optional
If not provided, an :class:`civis.APIClient` object will be
created from the :envvar:`CIVIS_API_KEY`.
credential_id : str or int, optional
The database credential ID. If ``None``, the default credential
will be used.
polling_interval : int or float, optional
Number of seconds to wait between checks for query completion.
archive : bool, optional (deprecated)
If ``True``, archive the import job as soon as it completes.
hidden : bool, optional
If ``True`` (the default), this job will not appear in the Civis UI.
**kwargs : kwargs
Extra keyword arguments are passed into
:func:`pandas:pandas.read_csv` if `use_pandas` is ``True`` or
passed into :func:`python:csv.reader` if `use_pandas` is
``False``.
Returns
-------
data : :class:`pandas:pandas.DataFrame` or list
A list of rows (with header as first row) if `use_pandas` is
``False``, otherwise a `pandas` `DataFrame`. Note that if
`use_pandas` is ``False``, no parsing of types is performed and
each row will be a list of strings.
Raises
------
ImportError
If `use_pandas` is ``True`` and `pandas` is not installed.
Examples
--------
>>> sql = "SELECT * FROM schema.table"
>>> df = read_civis_sql(sql, "my_database", use_pandas=True)
>>> col_a = df["column_a"]
>>> data = read_civis_sql(sql, "my_database")
>>> columns = data.pop(0)
>>> col_a_index = columns.index("column_a")
>>> col_a = [row[col_a_index] for row in data]
Notes
-----
This reads the data into memory.
See Also
--------
civis.io.read_civis : Read directly into memory without SQL.
civis.io.civis_to_csv : Write directly to a CSV file.
"""
if client is None:
client = APIClient(api_key=api_key)
if use_pandas and NO_PANDAS:
raise ImportError("use_pandas is True but pandas is not installed.")
if archive:
warnings.warn("`archive` is deprecated and will be removed in v2.0.0. "
"Use `hidden` instead.", FutureWarning)
db_id = client.get_database_id(database)
credential_id = credential_id or client.default_credential
# determine if we can request headers separately; if we can then Platform
# will perform a parallel unload which is significantly more performant
# we start by assuming headers are requested
ovrd_include_header, headers = _include_header(client, sql, True,
db_id, credential_id,
polling_interval)
# if we retrieved headers then we are performing a parallel unload
# in which case we need to specify backslash as the escapechar
if headers is not None:
kwargs['escapechar'] = '\\'
csv_settings = dict(include_header=ovrd_include_header,
compression='gzip')
script_id, run_id = _sql_script(client, sql, db_id,
job_name, credential_id,
csv_settings=csv_settings,
hidden=hidden)
fut = CivisFuture(client.scripts.get_sql_runs, (script_id, run_id),
polling_interval=polling_interval, client=client,
poll_on_creation=False)
if archive:
def f(x):
return client.scripts.put_sql_archive(script_id, True)
fut.add_done_callback(f)
fut.result()
outputs = client.scripts.get_sql_runs(script_id, run_id)["output"]
if not outputs:
raise EmptyResultError("Query {} returned no output."
.format(script_id))
url = outputs[0]["path"]
file_id = outputs[0]["file_id"]
log.debug('Exported results to Civis file %s (%s)',
outputs[0]["output_name"], file_id)
if use_pandas:
# allows users to enter their own names parameter
_kwargs = {'names': headers}
_kwargs.update(kwargs)
_kwargs['compression'] = 'gzip'
data = pd.read_csv(url, **_kwargs)
else:
response = requests.get(url, stream=True)
response.raise_for_status()
with StringIO() as buf:
if headers:
buf.write(','.join(headers) + '\n')
_decompress_stream(response, buf, write_bytes=False)
buf.seek(0)
data = list(csv.reader(buf, **kwargs))
return data
[docs]@deprecate_param('v2.0.0', 'api_key')
def civis_to_csv(filename, sql, database, job_name=None, api_key=None,
client=None, credential_id=None, include_header=True,
compression='none', delimiter=',', unquoted=False,
archive=False, hidden=True, polling_interval=None):
"""Export data from Civis to a local CSV file.
The custom SQL string will be executed twice; once to attempt to
retrieve headers and once to retrieve the data. This is done to
use a more performant method for retrieving the data. The first
execution of the custom SQL is controlled such that changes in
state cannot occur (e.g., INSERT, UPDATE, DELETE, etc.).
Parameters
----------
filename : str
Download exported data into this file.
sql : str, optional
The SQL select string to be executed.
database : str or int
Export data from this database. Can be the database name or ID.
job_name : str, optional
A name to give the job. If omitted, a random job name will be
used.
api_key : DEPRECATED str, optional
Your Civis API key. If not given, the :envvar:`CIVIS_API_KEY`
environment variable will be used.
client : :class:`civis.APIClient`, optional
If not provided, an :class:`civis.APIClient` object will be
created from the :envvar:`CIVIS_API_KEY`.
credential_id : str or int, optional
The ID of the database credential. If ``None``, the default
credential will be used.
include_header: bool, optional
If ``True``, the first line of the CSV will be headers.
Default: ``True``.
compression: str, optional
Type of compression to use, if any. One of ``'none'``, ``'zip'``, or
``'gzip'``. Default ``'none'``. ``'gzip'`` currently returns a file
with no compression unless include_header is set to False. In a
future release, a ``'gzip'`` compressed file will be returned for
all cases.
delimiter: str, optional
Which delimiter to use, if any. One of ``','``, ``'\t'``, or
``'|'``. Default: ``','``.
unquoted: bool, optional
Whether or not to quote fields. Default: ``False``.
polling_interval : int or float, optional
Number of seconds to wait between checks for query completion.
archive : bool, optional (deprecated)
If ``True``, archive the import job as soon as it completes.
hidden : bool, optional
If ``True`` (the default), this job will not appear in the Civis UI.
Returns
-------
results : :class:`~civis.futures.CivisFuture`
A `CivisFuture` object.
Examples
--------
>>> sql = "SELECT * FROM schema.table"
>>> fut = civis_to_csv("file.csv", sql, "my_database")
>>> fut.result() # Wait for job to complete
See Also
--------
civis.io.read_civis : Read table contents into memory.
civis.io.read_civis_sql : Read results of a SQL query into memory.
civis.io.export_to_civis_file : Store a SQL query's results in a Civis file
"""
if archive:
warnings.warn("`archive` is deprecated and will be removed in v2.0.0. "
"Use `hidden` instead.", FutureWarning)
if client is None:
client = APIClient(api_key=api_key)
db_id = client.get_database_id(database)
credential_id = credential_id or client.default_credential
# don't fix bug that would cause breaking change for now
# when gzip compression is requested, a gzip file is not actually returned
# instead the gzip file is decompressed during download
if compression == 'gzip' and include_header:
compression = 'none'
# don't support parallel unload; the output format
# is different which would introduce a breaking change
headers = b''
delimiter = DELIMITERS.get(delimiter)
if not delimiter:
raise ValueError("delimiter must be one of {}"
.format(DELIMITERS.keys()))
# always set compression to gzip to reduce I/O
csv_settings = dict(include_header=include_header,
compression='gzip',
column_delimiter=delimiter,
unquoted=unquoted,
filename_prefix=None,
force_multifile=False)
script_id, run_id = _sql_script(client, sql, db_id, job_name,
credential_id, hidden=hidden,
csv_settings=csv_settings)
fut = CivisFuture(client.scripts.get_sql_runs, (script_id, run_id),
polling_interval=polling_interval, client=client,
poll_on_creation=False)
download = _download_callback(script_id, run_id, filename,
headers, compression)
fut.add_done_callback(download)
if archive:
def f(x):
return client.scripts.put_sql_archive(script_id, True)
fut.add_done_callback(f)
return fut
[docs]@deprecate_param('v2.0.0', 'api_key')
def civis_to_multifile_csv(sql, database, job_name=None, api_key=None,
client=None, credential_id=None,
include_header=True,
compression='none', delimiter='|',
unquoted=False, prefix=None,
polling_interval=None, hidden=True):
"""Unload the result of SQL query and return presigned urls.
This function is intended for unloading large queries/tables from redshift
as it uses a 'PARALLEL ON' S3 unload. It returns a similar manifest file
to conventional S3 UNLOAD statements except the CSV parts are accessible
via both files endpoint IDs and presigned S3 urls.
Parameters
----------
sql : str, optional
The SQL select string to be executed.
database : str or int
Execute the query against this database. Can be the database name
or ID.
job_name : str, optional
A name to give the job. If omitted, a random job name will be
used.
api_key : DEPRECATED str, optional
Your Civis API key. If not given, the :envvar:`CIVIS_API_KEY`
environment variable will be used.
client : :class:`civis.APIClient`, optional
If not provided, an :class:`civis.APIClient` object will be
created from the :envvar:`CIVIS_API_KEY`.
credential_id : str or int, optional
The database credential ID. If ``None``, the default credential
will be used.
include_header: bool, optional
If ``True`` include a key in the returned dictionary containing a list
of column names. Default: ``True``.
compression: str, optional
Type of compression to use, if any. One of ``'none'``, ``'zip'``, or
``'gzip'``. Default ``'none'``.
delimiter: str, optional
Which delimiter to use, if any. One of ``','``, ``'\t'``, or
``'|'``. Default: ``'|'``.
unquoted: bool, optional
Whether or not to quote fields. Default: ``False``.
prefix: str, optional
A user specified filename prefix for the output file to have. Default:
``None``.
polling_interval : int or float, optional
Number of seconds to wait between checks for query completion.
hidden : bool, optional
If ``True`` (the default), this job will not appear in the Civis UI.
Returns
-------
unload_manifest: dict
A dictionary resembling an AWS manifest file. Has the following keys:
'query': str
The query.
'header': list of str
The columns from the query.
'entries': list of dict
Each dict has the following keys:
'id': int
File ID
'name': str
Filename
'size': int
File size in bytes
'url': str
Unsigned S3 URL ('s3://...')
'url_signed': str
Signed S3 URL ('https://...')
'unquoted': bool
Whether the cells are quoted.
'compression': str
Type of compression used.
'delimiter': str
Delimiter that separates the cells.
Examples
--------
>>> sql = "SELECT * FROM schema.my_big_table"
>>> database = "my_database"
>>> delimiter = "|"
>>> manifest = civis_to_multifile_csv(sql, database, delimiter=delimiter)
>>> ids = [entry['id'] for entry in manifest['entries']]
>>> buf = BytesIO()
>>> civis_to_file(ids[0], buf)
>>> buf.seek(0)
>>> df = pd.read_csv(buf, delimiter=delimiter)
See Also
--------
civis.APIClient.scripts.post_sql
"""
if client is None:
client = APIClient(api_key=api_key)
delimiter = DELIMITERS.get(delimiter)
assert delimiter, "delimiter must be one of {}".format(DELIMITERS.keys())
csv_settings = dict(include_header=include_header,
compression=compression,
column_delimiter=delimiter,
unquoted=unquoted,
filename_prefix=prefix,
force_multifile=True)
script_id, run_id = _sql_script(client, sql, database, job_name,
credential_id, hidden,
csv_settings=csv_settings)
fut = CivisFuture(client.scripts.get_sql_runs, (script_id, run_id),
polling_interval=polling_interval, client=client,
poll_on_creation=False)
outputs = fut.result()["output"]
if not outputs:
raise EmptyResultError("Unload query {} returned no manifest."
.format(script_id))
buf = io.BytesIO()
civis_to_file(outputs[0]['file_id'], buf, client=client)
txt = io.TextIOWrapper(buf, encoding='utf-8')
txt.seek(0)
unload_manifest = json.load(txt)
return unload_manifest
[docs]@deprecate_param('v2.0.0', 'api_key')
def dataframe_to_civis(df, database, table, api_key=None, client=None,
max_errors=None, existing_table_rows="fail",
diststyle=None, distkey=None,
sortkey1=None, sortkey2=None,
headers=None, credential_id=None,
polling_interval=None,
archive=False, hidden=True, **kwargs):
"""Upload a `pandas` `DataFrame` into a Civis table.
The `DataFrame`'s index will not be included. To store the index
along with the other values, use `df.reset_index()` instead
of `df` as the first argument to this function.
Parameters
----------
df : :class:`pandas:pandas.DataFrame`
The `DataFrame` to upload to Civis.
database : str or int
Upload data into this database. Can be the database name or ID.
table : str
The schema and table you want to upload to. E.g.,
``'scratch.table'``. Schemas or tablenames with periods must
be double quoted, e.g. ``'scratch."my.table"'``.
api_key : DEPRECATED str, optional
Your Civis API key. If not given, the :envvar:`CIVIS_API_KEY`
environment variable will be used.
client : :class:`civis.APIClient`, optional
If not provided, an :class:`civis.APIClient` object will be
created from the :envvar:`CIVIS_API_KEY`.
max_errors : int, optional
The maximum number of rows with errors to remove from the import
before failing.
existing_table_rows : str, optional
The behaviour if a table with the requested name already exists.
One of ``'fail'``, ``'truncate'``, ``'append'`` or ``'drop'``.
Defaults to ``'fail'``.
diststyle : str, optional
The distribution style for the table.
One of ``'even'``, ``'all'`` or ``'key'``.
distkey : str, optional
The column to use as the distkey for the table.
sortkey1 : str, optional
The column to use as the sortkey for the table.
sortkey2 : str, optional
The second column in a compound sortkey for the table.
headers : bool, optional
Whether or not the first row of the file should be treated as
headers. The default, ``None``, attempts to autodetect whether
or not the first row contains headers.
credential_id : str or int, optional
The ID of the database credential. If ``None``, the default
credential will be used.
polling_interval : int or float, optional
Number of seconds to wait between checks for job completion.
archive : bool, optional (deprecated)
If ``True``, archive the import job as soon as it completes.
hidden : bool, optional
If ``True`` (the default), this job will not appear in the Civis UI.
**kwargs : kwargs
Extra keyword arguments will be passed to
:meth:`pandas:pandas.DataFrame.to_csv`.
Returns
-------
fut : :class:`~civis.futures.CivisFuture`
A `CivisFuture` object.
Examples
--------
>>> import pandas as pd
>>> df = pd.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]})
>>> fut = civis.io.dataframe_to_civis(df, 'my-database',
... 'scratch.df_table')
>>> fut.result()
"""
if client is None:
client = APIClient(api_key=api_key)
if archive:
warnings.warn("`archive` is deprecated and will be removed in v2.0.0. "
"Use `hidden` instead.", FutureWarning)
with TemporaryDirectory() as tmp_dir:
tmp_path = os.path.join(tmp_dir, 'dataframe_to_civis.csv')
to_csv_kwargs = {'encoding': 'utf-8', 'index': False}
to_csv_kwargs.update(kwargs)
df.to_csv(tmp_path, **to_csv_kwargs)
_, name = split_schema_tablename(table)
file_id = file_to_civis(tmp_path, name, client=client)
delimiter = ','
fut = civis_file_to_table(file_id, database, table,
client=client, max_errors=max_errors,
existing_table_rows=existing_table_rows,
diststyle=diststyle, distkey=distkey,
sortkey1=sortkey1, sortkey2=sortkey2,
delimiter=delimiter, headers=headers,
credential_id=credential_id,
polling_interval=polling_interval,
hidden=hidden)
return fut
[docs]@deprecate_param('v2.0.0', 'api_key')
def csv_to_civis(filename, database, table, api_key=None, client=None,
max_errors=None, existing_table_rows="fail",
diststyle=None, distkey=None,
sortkey1=None, sortkey2=None,
delimiter=",", headers=None,
credential_id=None, polling_interval=None,
archive=False, hidden=True):
"""Upload the contents of a local CSV file to Civis.
Parameters
----------
filename : str
Upload the contents of this file.
database : str or int
Upload data into this database. Can be the database name or ID.
table : str
The schema and table you want to upload to. E.g.,
``'scratch.table'``.
api_key : DEPRECATED str, optional
Your Civis API key. If not given, the :envvar:`CIVIS_API_KEY`
environment variable will be used.
client : :class:`civis.APIClient`, optional
If not provided, an :class:`civis.APIClient` object will be
created from the :envvar:`CIVIS_API_KEY`.
max_errors : int, optional
The maximum number of rows with errors to remove from the import
before failing.
existing_table_rows : str, optional
The behaviour if a table with the requested name already exists.
One of ``'fail'``, ``'truncate'``, ``'append'`` or ``'drop'``.
Defaults to ``'fail'``.
diststyle : str, optional
The distribution style for the table.
One of ``'even'``, ``'all'`` or ``'key'``.
distkey : str, optional
The column to use as the distkey for the table.
sortkey1 : str, optional
The column to use as the sortkey for the table.
sortkey2 : str, optional
The second column in a compound sortkey for the table.
delimiter : string, optional
The column delimiter. One of ``','``, ``'\\t'`` or ``'|'``.
headers : bool, optional
Whether or not the first row of the file should be treated as
headers. The default, ``None``, attempts to autodetect whether
or not the first row contains headers.
credential_id : str or int, optional
The ID of the database credential. If ``None``, the default
credential will be used.
polling_interval : int or float, optional
Number of seconds to wait between checks for job completion.
archive : bool, optional (deprecated)
If ``True``, archive the import job as soon as it completes.
hidden : bool, optional
If ``True`` (the default), this job will not appear in the Civis UI.
Returns
-------
results : :class:`~civis.futures.CivisFuture`
A `CivisFuture` object.
Notes
-----
This reads the contents of `filename` into memory.
Examples
--------
>>> with open('input_file.csv', 'w') as _input:
... _input.write('a,b,c\\n1,2,3')
>>> fut = civis.io.csv_to_civis('input_file.csv',
... 'my-database',
... 'scratch.my_data')
>>> fut.result()
"""
if client is None:
client = APIClient(api_key=api_key)
if archive:
warnings.warn("`archive` is deprecated and will be removed in v2.0.0. "
"Use `hidden` instead.", FutureWarning)
name = path.basename(filename)
with open(filename, "rb") as data:
file_id = file_to_civis(data, name, client=client)
log.debug('Uploaded file %s to Civis file %s', filename, file_id)
fut = civis_file_to_table(file_id, database, table,
client=client, max_errors=max_errors,
existing_table_rows=existing_table_rows,
diststyle=diststyle, distkey=distkey,
sortkey1=sortkey1, sortkey2=sortkey2,
delimiter=delimiter, headers=headers,
credential_id=credential_id,
polling_interval=polling_interval,
hidden=hidden)
return fut
[docs]def civis_file_to_table(file_id, database, table, client=None,
max_errors=None, existing_table_rows="fail",
diststyle=None, distkey=None,
sortkey1=None, sortkey2=None,
delimiter=",", headers=None,
credential_id=None, polling_interval=None,
hidden=True):
"""Upload the contents of a Civis file to a Civis table.
Parameters
----------
file_id : int
Civis file ID.
database : str or int
Upload data into this database. Can be the database name or ID.
table : str
The schema and table you want to upload to. E.g.,
``'scratch.table'``.
client : :class:`civis.APIClient`, optional
If not provided, an :class:`civis.APIClient` object will be
created from the :envvar:`CIVIS_API_KEY`.
max_errors : int, optional
The maximum number of rows with errors to remove from the import
before failing.
existing_table_rows : str, optional
The behaviour if a table with the requested name already exists.
One of ``'fail'``, ``'truncate'``, ``'append'`` or ``'drop'``.
Defaults to ``'fail'``.
diststyle : str, optional
The distribution style for the table.
One of ``'even'``, ``'all'`` or ``'key'``.
distkey : str, optional
The column to use as the distkey for the table.
sortkey1 : str, optional
The column to use as the sortkey for the table.
sortkey2 : str, optional
The second column in a compound sortkey for the table.
delimiter : string, optional
The column delimiter. One of ``','``, ``'\\t'`` or ``'|'``.
headers : bool, optional
Whether or not the first row of the file should be treated as
headers. The default, ``None``, attempts to autodetect whether
or not the first row contains headers.
credential_id : str or int, optional
The ID of the database credential. If ``None``, the default
credential will be used.
polling_interval : int or float, optional
Number of seconds to wait between checks for job completion.
hidden : bool, optional
If ``True`` (the default), this job will not appear in the Civis UI.
Returns
-------
results : :class:`~civis.futures.CivisFuture`
A `CivisFuture` object.
Examples
--------
>>> file_id = 100
>>> fut = civis.io.civis_file_to_table(file_id,
... 'my-database',
... 'scratch.my_data')
>>> fut.result()
"""
if client is None:
client = APIClient()
schema, table = split_schema_tablename(table)
if schema is None:
raise ValueError("Provide a schema as part of the `table` input.")
db_id = client.get_database_id(database)
cred_id = credential_id or client.default_credential
delimiter = DELIMITERS.get(delimiter)
assert delimiter, "delimiter must be one of {}".format(DELIMITERS.keys())
destination = dict(remote_host_id=db_id, credential_id=cred_id)
import_name = 'CSV import to {}.{}'.format(schema, table)
import_job = client.imports.post(import_name, 'AutoImport',
is_outbound=False,
destination=destination,
hidden=hidden)
options = dict(max_errors=max_errors,
existing_table_rows=existing_table_rows,
diststyle=diststyle, distkey=distkey,
sortkey1=sortkey1, sortkey2=sortkey2,
column_delimiter=delimiter, first_row_is_header=headers)
client.imports.post_syncs(
import_job.id,
source=dict(file=dict(id=file_id)),
destination=dict(database_table=dict(schema=schema, table=table)),
advanced_options=options)
run = client.jobs.post_runs(import_job.id)
fut = CivisFuture(client.jobs.get_runs,
(import_job.id, run['id']),
polling_interval=polling_interval,
client=client,
poll_on_creation=False)
return fut
def _sql_script(client, sql, database, job_name, credential_id, hidden=False,
csv_settings=None):
job_name = maybe_get_random_name(job_name)
db_id = client.get_database_id(database)
credential_id = credential_id or client.default_credential
csv_settings = csv_settings or {}
export_job = client.scripts.post_sql(job_name,
remote_host_id=db_id,
credential_id=credential_id,
sql=sql,
hidden=hidden,
csv_settings=csv_settings)
run_job = client.scripts.post_sql_runs(export_job.id)
return export_job.id, run_job.id
def _get_sql_select(table, columns=None):
if columns and not isinstance(columns, (list, tuple)):
raise TypeError("columns must be a list, tuple or None")
select = ", ".join(columns) if columns is not None else "*"
sql = "select {} from {}".format(select, table)
return sql
def _get_headers(client, sql, database, credential_id, polling_interval=None):
# use 'begin read only;' to ensure we can't change state
sql = 'begin read only; select * from ({}) limit 1'.format(sql)
fut = query_civis(sql, database, client=client,
credential_id=credential_id,
polling_interval=polling_interval)
return fut.result()['result_columns']
def _include_header(client, sql, include_header, database, credential_id,
polling_interval=None):
headers = None
# can't do a parallel unload when sql contains an order by
if not include_header or re.search(r'order\s+by', sql, re.I | re.M):
return include_header, headers
try:
# if _get_headers throws an error then assume sql is not read only
headers = _get_headers(client, sql, database, credential_id,
polling_interval=polling_interval)
include_header = False
except Exception as exc: # NOQA
log.debug("Failed to retrieve headers due to %s", str(exc))
return include_header, headers
def _decompress_stream(response, buf, write_bytes=True):
# use response.raw for a more consistent approach
# if content-encoding is specified in the headers
# then response.iter_content will decompress the stream
# however, our use of content-encoding is inconsistent
chunk = response.raw.read(CHUNK_SIZE)
d = zlib.decompressobj(zlib.MAX_WBITS | 32)
while chunk or d.unused_data:
if d.unused_data:
to_decompress = d.unused_data + chunk
d = zlib.decompressobj(zlib.MAX_WBITS | 32)
else:
to_decompress = d.unconsumed_tail + chunk
if write_bytes:
buf.write(d.decompress(to_decompress))
else:
buf.write(d.decompress(to_decompress).decode('utf-8'))
chunk = response.raw.read(CHUNK_SIZE)
def _download_file(url, local_path, headers, compression):
response = requests.get(url, stream=True)
response.raise_for_status()
# gzipped buffers can be concatenated so write headers as gzip
if compression == 'gzip':
with gzip.open(local_path, 'wb') as fout:
fout.write(headers)
with open(local_path, 'ab') as fout:
shutil.copyfileobj(response.raw, fout, CHUNK_SIZE)
# write headers and decompress the stream
elif compression == 'none':
with open(local_path, 'wb') as fout:
fout.write(headers)
_decompress_stream(response, fout)
# decompress the stream, write headers, and zip the file
elif compression == 'zip':
with TemporaryDirectory() as tmp_dir:
tmp_path = path.join(tmp_dir, 'civis_to_csv.csv')
with open(tmp_path, 'wb') as tmp_file:
tmp_file.write(headers)
_decompress_stream(response, tmp_file)
with zipfile.ZipFile(local_path, 'w') as fout:
arcname = path.basename(local_path)
if arcname.split('.')[-1] == 'zip':
arcname = arcname.split('.')[0] + '.csv'
fout.write(tmp_path, arcname, zipfile.ZIP_DEFLATED)
def _download_callback(job_id, run_id, filename, headers, compression):
def callback(future):
if not future.succeeded():
return
outputs = future.result().get("output")
if not outputs:
warnings.warn("Job %s, run %s does not have any output to "
"download. Not creating file %s."
% (job_id, run_id, filename),
RuntimeWarning)
return
else:
url = outputs[0]["path"]
file_id = outputs[0]["file_id"]
log.debug('Exported results to Civis file %s', file_id)
return _download_file(url, filename, headers, compression)
return callback
def split_schema_tablename(table):
"""Split a Redshift 'schema.tablename' string
Remember that special characters (such as '.') can only
be included in a schema or table name if delimited by double-quotes.
Parameters
----------
table: str
Either a Redshift schema and table name combined
with a ".", or else a single table name.
Returns
-------
schema, tablename
A 2-tuple of strings. The ``schema`` may be None if the input
is only a table name, but the ``tablename`` will always be filled.
Raises
------
ValueError
If the input ``table`` is not separable into a schema and
table name.
"""
reader = csv.reader(StringIO(six.text_type(table)),
delimiter=".",
doublequote=True,
quotechar='"')
schema_name_tup = next(reader)
if len(schema_name_tup) == 1:
schema_name_tup = (None, schema_name_tup[0])
if len(schema_name_tup) != 2:
raise ValueError("Cannot parse schema and table. "
"Does '{}' follow the pattern 'schema.table'?"
.format(table))
return tuple(schema_name_tup)