From 927fe04e6ed0c32266337afec4ea98014d3240b4 Mon Sep 17 00:00:00 2001 From: Maxime Beauchemin Date: Sat, 17 Jan 2015 08:26:11 -0800 Subject: [PATCH] Improving docs and packaging for pypi --- .gitignore | 2 +- airflow/executors/celery_executor.py | 8 ++++++++ airflow/executors/local_executor.py | 9 +++++++++ airflow/executors/sequential_executor.py | 7 ++++++- airflow/hooks/hive_hook.py | 10 ++++++++++ airflow/hooks/mysql_hook.py | 9 +++++++++ airflow/hooks/presto_hook.py | 16 ++++++++++++++++ airflow/operators/email_operator.py | 21 +++++++++++---------- airflow/settings.py | 3 --- docs/code.rst | 21 +++++++++++---------- docs/conf.py | 12 ++++++------ docs/img/pin_large.png | Bin 0 -> 358276 bytes docs/index.rst | 3 +++ requirements.txt | 1 + setup.cfg | 17 +++++++++++++++++ 15 files changed, 108 insertions(+), 31 deletions(-) create mode 100644 docs/img/pin_large.png create mode 100644 setup.cfg diff --git a/.gitignore b/.gitignore index 7a56b617b1252..21e833b7348e6 100644 --- a/.gitignore +++ b/.gitignore @@ -8,7 +8,7 @@ env initdb.py dbinit.py logs -*.cfg +airflow.cfg MANIFEST secrets.py *.egg-info diff --git a/airflow/executors/celery_executor.py b/airflow/executors/celery_executor.py index a74694936fb5b..938b00ce8e7b6 100644 --- a/airflow/executors/celery_executor.py +++ b/airflow/executors/celery_executor.py @@ -39,6 +39,14 @@ def execute_command(command): class CeleryExecutor(BaseExecutor): + ''' + CeleryExecutor is recommended for production use of Airflow. It allows + distributing the exectuion of task instances to multiple worker nodes. + + Celery is a simple, flexible and reliable distributed system to process + vast amounts of messages, while providing operations with the tools + required to maintain such a system. + ''' def start(self): self.tasks = {} diff --git a/airflow/executors/local_executor.py b/airflow/executors/local_executor.py index dcf9096ef0719..4ceb6ed823157 100644 --- a/airflow/executors/local_executor.py +++ b/airflow/executors/local_executor.py @@ -43,8 +43,17 @@ def run(self): class LocalExecutor(BaseExecutor): + ''' + LocalExecutor executes tasks locally in parallel. It uses the + multiprocessing Python library and queues to parallelize the execution + of tasks. + ''' def __init__(self, parallelism=16): + ''' + :param parallelism: Number of processes running simultanously + :type parallelism: int + ''' super(LocalExecutor, self).__init__() self.parallelism = parallelism diff --git a/airflow/executors/sequential_executor.py b/airflow/executors/sequential_executor.py index fce8e001c5e82..e1a8a88547658 100644 --- a/airflow/executors/sequential_executor.py +++ b/airflow/executors/sequential_executor.py @@ -6,7 +6,12 @@ class SequentialExecutor(BaseExecutor): """ - Will only run one task instance at a time, can be used for debugging. + This executor will only run one task instance at a time, can be used + for debugging. It is also the only executor that can be used with sqlite + since sqlite doesn't support multiple connections. + + Since we want airflow to work out of the box, it default to this + SequentialExecutor alongside sqlite as you first install it. """ def __init__(self): super(SequentialExecutor, self).__init__() diff --git a/airflow/hooks/hive_hook.py b/airflow/hooks/hive_hook.py index 3456af9031261..846a3959f660a 100644 --- a/airflow/hooks/hive_hook.py +++ b/airflow/hooks/hive_hook.py @@ -16,6 +16,10 @@ class HiveHook(BaseHook): + ''' + Interact with Hive. This class is both a wrapper around the Hive Thrift + client and the Hive CLI. + ''' def __init__(self, hive_conn_id=conf.get('hooks', 'HIVE_DEFAULT_CONN_ID')): session = settings.Session() @@ -53,6 +57,9 @@ def __setstate__(self, d): self.__dict__['hive'] = self.get_hive_client() def get_hive_client(self): + ''' + Returns a Hive thrift client. + ''' transport = TSocket.TSocket(self.host, self.port) transport = TTransport.TBufferedTransport(transport) protocol = TBinaryProtocol.TBinaryProtocol(transport) @@ -72,6 +79,9 @@ def check_for_partition(self, schema, table, partition): return False def get_records(self, hql, schema=None): + ''' + Get a set of records from a Hive query. + ''' self.hive._oprot.trans.open() if schema: self.hive.execute("USE " + schema) diff --git a/airflow/hooks/mysql_hook.py b/airflow/hooks/mysql_hook.py index 0458353a43a5a..0b05f34d60f67 100644 --- a/airflow/hooks/mysql_hook.py +++ b/airflow/hooks/mysql_hook.py @@ -4,6 +4,9 @@ class MySqlHook(object): + ''' + Interact with MySQL. + ''' def __init__( self, host=None, login=None, @@ -38,6 +41,9 @@ def get_conn(self): return conn def get_records(self, sql): + ''' + Executes the sql and returns a set of records. + ''' conn = self.get_conn() cur = conn.cursor() cur.execute(sql) @@ -47,6 +53,9 @@ def get_records(self, sql): return rows def get_pandas_df(self, sql): + ''' + Executes the sql and returns a pandas dataframe + ''' import pandas.io.sql as psql conn = self.get_conn() df = psql.read_sql(sql, con=conn) diff --git a/airflow/hooks/presto_hook.py b/airflow/hooks/presto_hook.py index 9b5d30227f214..bf54ed83b1e29 100644 --- a/airflow/hooks/presto_hook.py +++ b/airflow/hooks/presto_hook.py @@ -36,6 +36,9 @@ def __init__(self, host=None, db=None, port=None, session.close() # currently only a pass in pyhive def get_cursor(self): + ''' + Returns a cursor. + ''' return self.cursor @staticmethod @@ -43,14 +46,24 @@ def _strip_sql(sql): return sql.strip().rstrip(';') def get_records(self, hql, parameters=None): + ''' + Get a set of records from Presto + ''' self.cursor.execute(self._strip_sql(hql), parameters) return self.cursor.fetchall() def get_first(self, hql, parameters=None): + ''' + Returns only the first row, regardless of how many rows the query + returns. + ''' self.cursor.execute(self._strip_sql(hql), parameters) return self.cursor.fetchone() def get_pandas_df(self, hql, parameters=None): + ''' + Get a pandas dataframe from a sql query. + ''' import pandas cursor = self.get_cursor() cursor.execute(self._strip_sql(hql), parameters) @@ -64,4 +77,7 @@ def get_pandas_df(self, hql, parameters=None): return df def run(self, hql, parameters=None): + ''' + Execute the statement against Presto. Can be used to create views. + ''' self.cursor.execute(self._strip_sql(hql), parameters) diff --git a/airflow/operators/email_operator.py b/airflow/operators/email_operator.py index 72edb6fcdff0a..cb5a4e1035764 100644 --- a/airflow/operators/email_operator.py +++ b/airflow/operators/email_operator.py @@ -4,16 +4,6 @@ class EmailOperator(BaseOperator): - ''' - Sends an email. - :param to: list of emails to send the email to - :type to: list or string (comma or semicolon delimited) - :param subject: subject line for the email (templated) - :type subject: string - :param html_content: content of the email (templated), html markup - is allowed - :type html_content: string - ''' template_fields = ('subject', 'html_content') @@ -28,6 +18,17 @@ def __init__( subject, html_content, *args, **kwargs): + """ + Sends an email. + + :param to: list of emails to send the email to + :type to: list or string (comma or semicolon delimited) + :param subject: subject line for the email (templated) + :type subject: string + :param html_content: content of the email (templated), html markup + is allowed + :type html_content: string + """ super(EmailOperator, self).__init__(*args, **kwargs) self.to = to self.subject = subject diff --git a/airflow/settings.py b/airflow/settings.py index bb75a45714ae0..852acc7ba18de 100644 --- a/airflow/settings.py +++ b/airflow/settings.py @@ -18,9 +18,6 @@ BASE_FOLDER = conf.get('core', 'BASE_FOLDER') BASE_LOG_URL = "/admin/airflow/log" SQL_ALCHEMY_CONN = conf.get('core', 'SQL_ALCHEMY_CONN') -print "-"* 100 -print(SQL_ALCHEMY_CONN) -print "-"* 100 if BASE_FOLDER not in sys.path: sys.path.append(BASE_FOLDER) diff --git a/docs/code.rst b/docs/code.rst index e0ca40564e6b3..1234935ddc450 100644 --- a/docs/code.rst +++ b/docs/code.rst @@ -8,7 +8,13 @@ persisted in the database. .. automodule:: airflow.models :show-inheritance: - :members: DAG, BaseOperator, TaskInstance, DagBag, DatabaseConnection + :members: DAG, BaseOperator, TaskInstance, DagBag, Connection + +Hooks +----- +.. automodule:: airflow.hooks + :show-inheritance: + :members: MySqlHook, PrestoHook, HiveHook Operators --------- @@ -16,16 +22,11 @@ Operators allows to generate a certain type of task on the graph. .. automodule:: airflow.operators :show-inheritance: - :members: MySqlOperator, BashOperator, ExternalTaskSensor, HiveOperator, SqlSensor, HivePartitionSensor - -Hooks ------ -.. automodule:: airflow.hooks - :show-inheritance: - :members: MySqlHook + :members: MySqlOperator, BashOperator, ExternalTaskSensor, HiveOperator, SqlSensor, HivePartitionSensor, EmailOperator Executors --------- +Executors are the mechanism by which task instances get run. .. automodule:: airflow.executors - :show-inheritance: - :members: LocalExecutor, SequentialExecutor + :show-inheritance: + :members: LocalExecutor, CeleryExecutor, SequentialExecutor diff --git a/docs/conf.py b/docs/conf.py index a96e6aefca6e8..a7021b9818bb8 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -13,7 +13,6 @@ # serve to show the default. import sys -import os from airflow import settings # If extensions (or modules to document with autodoc) are in another directory, @@ -247,11 +246,12 @@ # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) -texinfo_documents = [ - ('index', 'Airflow', u'Airflow Documentation', - u'Maxime Beauchemin', 'Airflow', 'One line description of project.', - 'Miscellaneous'), -] +texinfo_documents = [( + 'index', 'Airflow', u'Airflow Documentation', + u'Maxime Beauchemin', 'Airflow', + 'Airflow is a system to programmaticaly author, schedule and monitor data pipelines.', + 'Miscellaneous' +),] # Documents to append as an appendix to all manuals. #texinfo_appendices = [] diff --git a/docs/img/pin_large.png b/docs/img/pin_large.png new file mode 100644 index 0000000000000000000000000000000000000000..986c88b39c029bb30546a1b7810dd9de76ea3767 GIT binary patch literal 358276 zcmeFZ^;?u**Eei{lnf~~Lw5_3LkUQSbcd88F)%~7g0wSqseqJpcS{bTlys*ILn9^m zj^FpbzL)oNJb%J-9tZrutaH!apS9L!?Y-98L~3a&5#rO}-??*#P(}Hf&Ye40Vt;;c zA7K8nL+liD2ir?c<(aIW_v}t9o;U48Qkglcq-iowf8F}b(^XAn9LbLYZ|+LGxjTpD 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image:: img/pin_large.png + :width: 70 Airflow's Documentation ================================ + Airflow is a system to programmaticaly author, schedule and monitor data pipelines. Use the Airflow library to define workflows as directed acyclic graphs (DAGs) of data related tasks. Command line utilities make it easy to run parts of workflows interactively, and commiting pipelines into production is all it takes for the master scheduler to run the pipelines with the schedule and dependencies specified. diff --git a/requirements.txt b/requirements.txt index e55937270fb2c..8ea162d81bc32 100644 --- a/requirements.txt +++ b/requirements.txt @@ -19,5 +19,6 @@ requests setproctitle sphinx sphinx_rtd_theme +Sphinx-PyPI-upload sqlalchemy thrift diff --git a/setup.cfg b/setup.cfg new file mode 100644 index 0000000000000..51e5ef486d770 --- /dev/null +++ b/setup.cfg @@ -0,0 +1,17 @@ +[metadata] +name = Airflow +summary = Airflow is a system to programmaticaly author, schedule and monitor data pipelines. +author = Maxime Beauchemin +author-email = maximebeauchemin@gmail.com + +[files] +packages = airflow + +[build_sphinx] +source-dir = docs/ +build-dir = docs/_build +all_files = 1 + +[upload_sphinx] +upload-dir = docs/_build/html +