Release 0.8.0 (#236)

* Release 0.8.0

* Update changelog.
* Add Python 3.7 to supported versions in the package.
* Fix docstrings in new Context class to match pandas-style.
* Document new context class in authentication and API docs.

* Add issue number for `credentials` parameter change.

docs/source/api.rst

@@ -18,6 +18,10 @@ API Reference
    Context
 
 .. autofunction:: read_gbq
+
 .. autofunction:: to_gbq
+
 .. autodata:: context
+
 .. autoclass:: Context
+   :members:

docs/source/changelog.rst

@@ -3,8 +3,8 @@ Changelog
 
 .. _changelog-0.8.0:
 
-0.8.0 / unreleased
---------------------
+0.8.0 / 2018-11-12
+------------------
 
 Breaking changes
 ~~~~~~~~~~~~~~~~
@@ -16,12 +16,20 @@ Breaking changes
   or
   :func:`google.oauth2.service_account.Credentials.from_service_account_file`.
   See the :doc:`authentication how-to guide <howto/authentication>` for
-  examples. (:issue:`161`, :issue:`TODO`)
+  examples. (:issue:`161`, :issue:`231`)
 
 Enhancements
 ~~~~~~~~~~~~
 
 - Allow newlines in data passed to ``to_gbq``. (:issue:`180`)
+- Add :attr:`pandas_gbq.context.dialect` to allow overriding the default SQL
+  syntax dialect. (:issue:`195`, :issue:`235`)
+- Support Python 3.7. (:issue:`197`, :issue:`232`)
+
+Internal changes
+~~~~~~~~~~~~~~~~
+
+- Migrate tests to CircleCI. (:issue:`228`, :issue:`232`)
 
 .. _changelog-0.7.0:
 

docs/source/contributing.rst

@@ -321,7 +321,7 @@ run gbq integration tests on a forked repository:
    - ``GBQ_PROJECT_ID`` with the value being the ID of your BigQuery project.
 
    - ``SERVICE_ACCOUNT_KEY`` with the value being the base64-encoded
-   *contents* of the JSON key that you downloaded for your service account.
+     *contents* of the JSON key that you downloaded for your service account.
 
    Keep the contents of these variables confidential. These variables contain
    sensitive data and you do not want their contents being exposed in build

docs/source/howto/authentication.rst

@@ -58,10 +58,14 @@ more information on service accounts.
 Default Authentication Methods
 ------------------------------
 
-If the ``private_key`` parameter is ``None``, pandas-gbq tries the following
-authentication methods:
+If the ``credentials`` parameter (or the deprecated ``private_key``
+parameter) is ``None``, pandas-gbq tries the following authentication
+methods:
 
-1. Application Default Credentials via the :func:`google.auth.default`
+1. In-memory, cached credentials at ``pandas_gbq.context.credentials``. See
+   :attr:`pandas_gbq.Context.credentials` for details.
+
+2. Application Default Credentials via the :func:`google.auth.default`
    function.
 
    .. note::
@@ -74,7 +78,7 @@ authentication methods:
        Compute Engine is that the VM does not have sufficient scopes to query
        BigQuery.
 
-2. User account credentials.
+3. User account credentials.
 
    pandas-gbq loads cached credentials from a hidden user folder on the
    operating system. Override the location of the cached user credentials

pandas_gbq/gbq.py

@@ -175,27 +175,34 @@ def __init__(self):
 
     @property
     def credentials(self):
-        """google.auth.credentials.Credentials: Credentials to use for Google
-        APIs.
-
-        Note:
-            These credentials are automatically cached in memory by calls to
-            :func:`pandas_gbq.read_gbq` and :func:`pandas_gbq.to_gbq`. To
-            manually set the credentials, construct an
-            :class:`google.auth.credentials.Credentials` object and set it as
-            the context credentials as demonstrated in the example below. See
-            `auth docs`_ for more information on obtaining credentials.
-
-        Example:
-            Manually setting the context credentials:
-            >>> import pandas_gbq
-            >>> from google.oauth2 import service_account
-            >>> credentials = (service_account
-            ...     .Credentials.from_service_account_file(
-            ...         '/path/to/key.json'))
-            >>> pandas_gbq.context.credentials = credentials
+        """
+        Credentials to use for Google APIs.
+
+        These credentials are automatically cached in memory by calls to
+        :func:`pandas_gbq.read_gbq` and :func:`pandas_gbq.to_gbq`. To
+        manually set the credentials, construct an
+        :class:`google.auth.credentials.Credentials` object and set it as
+        the context credentials as demonstrated in the example below. See
+        `auth docs`_ for more information on obtaining credentials.
+
         .. _auth docs: http://google-auth.readthedocs.io
             /en/latest/user-guide.html#obtaining-credentials
+
+        Returns
+        -------
+        google.auth.credentials.Credentials
+
+        Examples
+        --------
+
+        Manually setting the context credentials:
+
+        >>> import pandas_gbq
+        >>> from google.oauth2 import service_account
+        >>> credentials = service_account.Credentials.from_service_account_file(
+        ...     '/path/to/key.json',
+        ... )
+        >>> pandas_gbq.context.credentials = credentials
         """
         return self._credentials
 
@@ -205,12 +212,19 @@ def credentials(self, value):
 
     @property
     def project(self):
-        """str: Default project to use for calls to Google APIs.
+        """Default project to use for calls to Google APIs.
 
-        Example:
-            Manually setting the context project:
-            >>> import pandas_gbq
-            >>> pandas_gbq.context.project = 'my-project'
+        Returns
+        -------
+        str
+
+        Examples
+        --------
+
+        Manually setting the context project:
+
+        >>> import pandas_gbq
+        >>> pandas_gbq.context.project = 'my-project'
         """
         return self._project
 
@@ -220,7 +234,8 @@ def project(self, value):
 
     @property
     def dialect(self):
-        """str: Default dialect to use in :func:`pandas_gbq.read_gbq`.
+        """
+        Default dialect to use in :func:`pandas_gbq.read_gbq`.
 
         Allowed values for the BigQuery SQL syntax dialect:
 
@@ -233,6 +248,18 @@ def dialect(self):
             compliant with the SQL 2011 standard. For more information
             see `BigQuery Standard SQL Reference
             <https://cloud.google.com/bigquery/docs/reference/standard-sql/>`__.
+
+        Returns
+        -------
+        str
+
+        Examples
+        --------
+
+        Setting the default syntax to standard:
+
+        >>> import pandas_gbq
+        >>> pandas_gbq.context.dialect = 'standard'
         """
         return self._dialect
 

setup.py

@@ -47,6 +47,7 @@ def readme():
         "Programming Language :: Python :: 3",
         "Programming Language :: Python :: 3.5",
         "Programming Language :: Python :: 3.6",
+        "Programming Language :: Python :: 3.7",
         "Topic :: Scientific/Engineering",
     ],
     keywords="data",