diff --git a/CHANGELOG.md b/CHANGELOG.md
index 3d4f073..6b524d8 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -4,6 +4,7 @@ All notable changes to this project will be documented in this file.
`knockoff-factory` adheres to [Semantic Versioning](http://semver.org/).
#### 4.x Releases
+- `4.1.x` Releases - [4.1.0](#410)
- `4.0.x` Releases - [4.0.0](#400)
#### 3.x Releases
@@ -36,6 +37,19 @@ All notable changes to this project will be documented in this file.
#### Removed
+#### Fixed
+---
+
+## 4.1.0
+
+#### Added
+- CollectionsFactory for providing factory functions that return multiple columns
+ - Added by [Gregory Yu](https://github.com/gregyu) in Pull Request [#2](https://github.com/Nike-Inc/knockoff-factory/pull/2)
+- Documentation and jupyter notebook for KnockoffTable
+ - Added by [Gregory Yu](https://github.com/gregyu) in Pull Request [#2](https://github.com/Nike-Inc/knockoff-factory/pull/2)
+
+#### Updated
+
#### Fixed
---
diff --git a/README.md b/README.md
index fb2dbbc..6ee6ed1 100644
--- a/README.md
+++ b/README.md
@@ -11,6 +11,46 @@ Knockoff Factory
A library for generating mock data and creating database fixtures that can be used for unit testing.
+Table of content
+* [Installation](#installation)
+* [Changelog](#changelog)
+* [Documentation](#documentation)
+* [Future Work](#Future-work)
+
+# Installation
+```shell script
+pip install knockoff
+```
+
+
+# Changelog
+
+See the [changelog](CHANGELOG.md) for a history of notable changes to knockoff.
+
+# Documentation
+
+We are working on adding more documentation and examples!
+
+* knockoff sdk
+ * [KnockoffTable](notebook/KnockoffTable.ipynb)
+ * KnockoffDB
+ * KnockoffDatabaseService
+* TempDatabaseService
+* knockoff cli
+
+
+# Future work
+* Further documentation and examples for SDK
+* Add yaml based configuration for SDK
+* Make extensible generic output for KnockffDB.insert (csv, parquet, etc)
+* Enable append option for KnockoffDB.insert
+* Autodiscover and populate all tables by using reflection and building dependency graph with foreign key relationships
+* Parallelize execution of dag. (e.g. https://ipython.org/ipython-doc/stable/parallel/dag_dependencies.html)
+
+
+Local development setup and legacy documentation
+---
+
# Run poetry install/update with psycopg2
Requirements:
@@ -70,12 +110,6 @@ following environment variable
export TEST_POSTGRES_ENABLED=0
```
-### Knockoff Python Based Configuration
-
-We will be providing documentation along with example repo's for
-the python based configuration using the knockoff.sdk modules.
-
-
### Knockoff Legacy Yaml Based Configuration
Note: This yaml based configuration has been moved under the legacy subcommand
for knockoff and a new yaml based configuration will be introduced that
@@ -284,11 +318,3 @@ Note: if you are loading data from an s3 bucket you have access to, you can enab
container access to those credentials by adding `-v ~/.aws:/root/.aws` to the `docker run` command.
-### Future work
-* Add documentation and examples for SDK
-* Add yaml based configuration for SDK
-* Make extensible generic output for KnockffDB.insert (csv, parquet, etc)
-* Enable append option for KnockoffDB.insert
-* Autodiscover and populate all tables by using reflection and building dependency graph with foreign key relationships
-* Documentation / use-cases
-* Parallelize execution of dag. (e.g. https://ipython.org/ipython-doc/stable/parallel/dag_dependencies.html)
diff --git a/knockoff/sdk/factory/collections.py b/knockoff/sdk/factory/collections.py
index 706c103..c0e74dc 100644
--- a/knockoff/sdk/factory/collections.py
+++ b/knockoff/sdk/factory/collections.py
@@ -10,6 +10,42 @@
from .next_strategy.table import sample_table
+class CollectionsFactory(object):
+ def __init__(self,
+ callable_,
+ columns=None,
+ rename=None,
+ drop=None,
+ depends_on=None):
+ self.callable = callable_
+ self.depends_on = depends_on
+ self.columns = columns
+ self.rename = rename or {}
+ self.drop = set(drop or [])
+
+ def __call__(self, *args, **kwargs):
+ record = self.callable(*args, **kwargs)
+ return resolve_columns(record,
+ columns=self.columns,
+ rename=self.rename,
+ drop=self.drop)
+
+
+def resolve_columns(record,
+ columns=None,
+ rename=None,
+ drop=None):
+ rename = rename or {}
+ drop = set(drop or [])
+ out = {}
+ columns = columns or record.keys()
+ for col in columns:
+ if col in drop:
+ continue
+ out[rename.get(col, col)] = record[col]
+ return out
+
+
class KnockoffFactory(object):
def __init__(self, obj, columns=None, rename=None, drop=None,
next_strategy_callable=None,
diff --git a/knockoff/sdk/table.py b/knockoff/sdk/table.py
index d1fdb84..6027ba3 100644
--- a/knockoff/sdk/table.py
+++ b/knockoff/sdk/table.py
@@ -18,6 +18,7 @@
from .factory.column import ColumnFactory
+from .factory.collections import CollectionsFactory
logger = logging.getLogger(__name__)
@@ -180,7 +181,7 @@ def build_record(self):
"Use ColumnFactory instead")
col, factory = factory
key_values = {col: factory()}
- elif (isinstance(factory, (ColumnFactory,)) and
+ elif (isinstance(factory, (ColumnFactory, CollectionsFactory)) and
factory.depends_on):
kwargs = {key: data[key] for key in factory.depends_on}
key_values = factory(**kwargs)
diff --git a/notebook/KnockoffTable.ipynb b/notebook/KnockoffTable.ipynb
new file mode 100644
index 0000000..56892c5
--- /dev/null
+++ b/notebook/KnockoffTable.ipynb
@@ -0,0 +1,746 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "e7908bb7",
+ "metadata": {},
+ "source": [
+ "# KnockoffTable\n",
+ "(`knockoff.sdk.table:KnockoffTable`)\n",
+ "\n",
+ "This is the primary class for configuring how knockoff populates a table. \n",
+ "\n",
+ "* [Factories](#Factories)\n",
+ " * [ColumnFactory](#ColumnFactory) (`knockoff.sdk.factory.column:ColumnFactory`)\n",
+ " * [CollectionsFactory](#CollectionsFactory) ('knockoff.sdk.factory.collections:CollectionsFactory')\n",
+ " * [KnockoffDataFrameFactory](#KnockoffDataFrameFactory) (`knockoff.sdk.factory.collections:KnockoffDataFrameFactory`) \n",
+ " * randomly sample input DataFrame rows\n",
+ " * cycling through input DataFrame rows\n",
+ " * [KnockoffTableFactory](#KnockoffTableFactory) (`knockoff.sdk.factory.collections:KnockoffTableFactory`)\n",
+ "* [KnockoffUniqueConstraint](#KnockoffUniqueConstraint)\n",
+ "* [Autoloading](#Autoloading)\n",
+ "\n",
+ "\n",
+ "### Factories\n",
+ "\n",
+ "A list of `factories` are provided in the __init__ of KnockoffTable that will be used at build time to generate rows (the number of rows generated is declared with the `size` parameter). Calls to the factories are made to generate data for each row.\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d5b23219",
+ "metadata": {},
+ "source": [
+ "#### ColumnFactory"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "d4fac0fc",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "call[0]: {'some_column': 0.5000619168058782}\n",
+ "call[1]: {'some_column': 0.9885946890702473}\n",
+ "call[2]: {'some_column': 0.41250444122739394}\n",
+ "call[3]: {'some_column': 0.4462999921807126}\n",
+ "call[4]: {'some_column': 0.06017712225706928}\n"
+ ]
+ }
+ ],
+ "source": [
+ "import random\n",
+ "from knockoff.sdk.factory.column import ColumnFactory\n",
+ "\n",
+ "# create a factory that generates a random value for \"some_column\" using the random.random function\n",
+ "factory = ColumnFactory('some_column', random.random)\n",
+ "for i in range(5):\n",
+ " print(f\"call[{i}]: {factory()}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "14b47406",
+ "metadata": {},
+ "source": [
+ "#### CollectionsFactory"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "ea5b346f",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "call[0]: {'col1': 4, 'col2': 0.5771082134122193}\n",
+ "call[1]: {'col1': 10, 'col2': 0.9443929581234238}\n",
+ "call[2]: {'col1': 9, 'col2': 0.5833487911234037}\n",
+ "call[3]: {'col1': 10, 'col2': 0.16599398285529154}\n",
+ "call[4]: {'col1': 5, 'col2': 0.3534517643813895}\n"
+ ]
+ }
+ ],
+ "source": [
+ "from knockoff.sdk.factory.collections import CollectionsFactory\n",
+ "\n",
+ "# this can be any callable that returns a dictionary\n",
+ "def func():\n",
+ " return {'col1': random.randint(0,10),\n",
+ " 'col2': random.random()}\n",
+ "\n",
+ "factory = CollectionsFactory(func)\n",
+ "for i in range(5):\n",
+ " print(f\"call[{i}]: {factory()}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "31b25cc2",
+ "metadata": {},
+ "source": [
+ "#### KnockoffDataFrameFactory\n",
+ "\n",
+ "This class takes a DataFrame as input to use to generate rows. The default behavior is to **randomly sample input DataFrame rows** for each call to the factory."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "ff1e8934",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
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+ "\n",
+ "
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+ " \n",
+ " \n",
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+ " 3 | \n",
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+ " 4 | \n",
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+ "
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+ "
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+ ],
+ "text/plain": [
+ " a b c\n",
+ "0 a0 b0 c0\n",
+ "1 a1 b1 c1\n",
+ "2 a2 b2 c2\n",
+ "3 a3 b3 c3\n",
+ "4 a4 b4 c4"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "call[0]: {'a': 'a1', 'b': 'b1', 'c': 'c1'}\n",
+ "call[1]: {'a': 'a2', 'b': 'b2', 'c': 'c2'}\n",
+ "call[2]: {'a': 'a2', 'b': 'b2', 'c': 'c2'}\n",
+ "call[3]: {'a': 'a1', 'b': 'b1', 'c': 'c1'}\n",
+ "call[4]: {'a': 'a2', 'b': 'b2', 'c': 'c2'}\n"
+ ]
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "from knockoff.sdk.factory.collections import KnockoffDataFrameFactory\n",
+ "\n",
+ "# Create an input DataFrame\n",
+ "df = pd.DataFrame({letter: [f\"{letter}{i}\" for i in range(5)] for letter in ['a', 'b' ,'c']})\n",
+ "display(df)\n",
+ "\n",
+ "factory = KnockoffDataFrameFactory(df)\n",
+ "for i in range(5):\n",
+ " print(f\"call[{i}]: {factory()}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2e028cf8",
+ "metadata": {},
+ "source": [
+ "The `next_strategy_factory` or `next_strategy_callable` parameters can be used to change the behavior of the sampling. E.g. the `cycle_df_factory` can be used to cycle **through input DataFrame rows** instead of randomly sampling."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "3a81d0b2",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "call[0]: {'a': 'a0', 'b': 'b0', 'c': 'c0'}\n",
+ "call[1]: {'a': 'a1', 'b': 'b1', 'c': 'c1'}\n",
+ "call[2]: {'a': 'a2', 'b': 'b2', 'c': 'c2'}\n",
+ "call[3]: {'a': 'a3', 'b': 'b3', 'c': 'c3'}\n",
+ "call[4]: {'a': 'a4', 'b': 'b4', 'c': 'c4'}\n",
+ "call[5]: {'a': 'a0', 'b': 'b0', 'c': 'c0'}\n",
+ "call[6]: {'a': 'a1', 'b': 'b1', 'c': 'c1'}\n",
+ "call[7]: {'a': 'a2', 'b': 'b2', 'c': 'c2'}\n",
+ "call[8]: {'a': 'a3', 'b': 'b3', 'c': 'c3'}\n",
+ "call[9]: {'a': 'a4', 'b': 'b4', 'c': 'c4'}\n"
+ ]
+ }
+ ],
+ "source": [
+ "from knockoff.sdk.factory.next_strategy.df import cycle_df_factory\n",
+ "factory = KnockoffDataFrameFactory(df, next_strategy_factory=cycle_df_factory)\n",
+ "for i in range(10):\n",
+ " print(f\"call[{i}]: {factory()}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6dcd04d1",
+ "metadata": {},
+ "source": [
+ "#### KnockoffTableFactory\n",
+ "The KnockoffTableFactory behaves very similar to the KnockoffDataFrameFactory except that it takes another KnockoffTable as input instead of a KnockoffDataFrame. When this factory is used, we must declare this dependency when providing the KnockoffTable to the KnockoffDB.\n",
+ "\n",
+ "\n",
+ "#### KnockoffTable Example\n",
+ "\n",
+ " `columns` need to be provided to the __init__ to determine which fields will be used as columns (factories can generate unused fields). `columns` do not need to be provided if the `autoload` flag is set to `True` where the columns will be reflected from the database table."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "d71d8587",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ " Amy Rosales | \n",
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+ " name address \\\n",
+ "0 Joshua Taylor 935 Anderson Lane\\nAguilarmouth, NH 83805 \n",
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+ "\n",
+ " gender age \n",
+ "0 male 62 \n",
+ "1 female 47 \n",
+ "2 male 6 \n",
+ "3 male 75 \n",
+ "4 female 45 \n",
+ "5 male 24 \n",
+ "6 female 92 \n",
+ "7 female 35 \n",
+ "8 male 65 \n",
+ "9 female 66 "
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from knockoff.sdk.table import KnockoffTable\n",
+ "from knockoff.sdk.factory.column import ColumnFactory, ChoiceFactory, FakerFactory\n",
+ "\n",
+ "\n",
+ "table = KnockoffTable(\n",
+ " \"person\",\n",
+ " columns=[\"name\", \"address\", \"gender\", \"age\"],\n",
+ " factories=[\n",
+ " ColumnFactory(\"name\", FakerFactory(\"name\")),\n",
+ " ColumnFactory(\"address\", FakerFactory(\"address\")),\n",
+ " ColumnFactory(\"gender\", ChoiceFactory([\"male\", \"female\"])),\n",
+ " ColumnFactory(\"age\", FakerFactory(\"pyint\", min_value=0, max_value=100)),\n",
+ " ],\n",
+ " size=10,\n",
+ ")\n",
+ "\n",
+ "display(table.build())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "73c5a97a",
+ "metadata": {},
+ "source": [
+ "If multiple factories provide the same column, the KnockoffTable will apply those in the order provided to the `factories` parameter. I.e. factories towards the end of the list will take precendence. ColumnFactory and CollectionsFactory can declare a dependency on another column which will be provided to the factory as a kwarg. The factory must be provided after the factory that generates the column it depends on in order to do so. Please see the below example as a reference."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "c61ebfd0",
+ "metadata": {},
+ "outputs": [
+ {
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+ " 8 | \n",
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+ " \n",
+ " 9 | \n",
+ " Stephanie Gamble | \n",
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+ " female | \n",
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+ "8 Laura Hunter 2304 Marvin Inlet Suite 853 female 4 \n",
+ "9 Stephanie Gamble 129 Howard Knolls Suite 070 female 72 \n",
+ "\n",
+ " other_address \n",
+ "0 Rebeccaborough, OR 73595 \n",
+ "1 New Linda, WA 05108 \n",
+ "2 Lake Bradview, FL 11180 \n",
+ "3 Markview, WV 39420 \n",
+ "4 Kaylafort, OR 85551 \n",
+ "5 Dianaland, CO 88542 \n",
+ "6 South Toddport, KS 11955 \n",
+ "7 Meganport, IA 84426 \n",
+ "8 Olsonchester, TX 69125 \n",
+ "9 Gonzalezfort, CT 76785 "
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "def split_address(address):\n",
+ " street_address, other = address.split('\\n')\n",
+ " return {\n",
+ " \"address\": street_address,\n",
+ " \"other_address\": other\n",
+ " }\n",
+ " \n",
+ "table = KnockoffTable(\n",
+ " \"person\",\n",
+ " columns=[\"name\", \"address\", \"gender\", \"age\", \"other_address\"],\n",
+ " factories=[\n",
+ " ColumnFactory(\"name\", FakerFactory(\"name\")),\n",
+ " ColumnFactory(\"address\", FakerFactory(\"address\")),\n",
+ " ColumnFactory(\"gender\", ChoiceFactory([\"male\", \"female\"])),\n",
+ " ColumnFactory(\"age\", FakerFactory(\"pyint\", min_value=0, max_value=100)),\n",
+ " # this factory will take the address generated and split into columns\n",
+ " # including a column that will replace the original address with just\n",
+ " # the street address\n",
+ " CollectionsFactory(split_address, depends_on=[\"address\"])\n",
+ " ],\n",
+ " size=10,\n",
+ ")\n",
+ "\n",
+ "display(table.build())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ac391b37",
+ "metadata": {},
+ "source": [
+ "### KnockoffUniqueConstraint\n",
+ "\n",
+ "Constraints such as the KnockoffUniqueConstraint can be provided to the KnockoffTable to enforce when generating a row. Any generated row must satisfy the unique constraint, otherwise it will be rejected. If `attempt_limit` is reached for trying to generate a row that satisfies all constraints, an `AttemptLimitReached` Error will be thrown. The default `attempt_limit` is 1000000 if `None` is provided in the __init__ of KnockoffTable. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "aa972752",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " id | \n",
+ " name | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " 4 | \n",
+ " Debbie Hill | \n",
+ "
\n",
+ " \n",
+ " 1 | \n",
+ " 3 | \n",
+ " Rebecca Bell | \n",
+ "
\n",
+ " \n",
+ " 2 | \n",
+ " 5 | \n",
+ " Michael Kelly | \n",
+ "
\n",
+ " \n",
+ " 3 | \n",
+ " 2 | \n",
+ " Christine Hernandez | \n",
+ "
\n",
+ " \n",
+ " 4 | \n",
+ " 1 | \n",
+ " Stephanie Wright | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " id name\n",
+ "0 4 Debbie Hill\n",
+ "1 3 Rebecca Bell\n",
+ "2 5 Michael Kelly\n",
+ "3 2 Christine Hernandez\n",
+ "4 1 Stephanie Wright"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from knockoff.sdk.constraints import KnockoffUniqueConstraint\n",
+ "\n",
+ "table = KnockoffTable(\n",
+ " \"person\",\n",
+ " columns=[\"id\", \"name\"],\n",
+ " factories=[\n",
+ " ColumnFactory(\"id\", FakerFactory(\"pyint\", min_value=1, max_value=5)),\n",
+ " ColumnFactory(\"name\", FakerFactory(\"name\"))\n",
+ " ],\n",
+ " size=5,\n",
+ " constraints=[KnockoffUniqueConstraint(['id'])]\n",
+ ")\n",
+ "display(table.build())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0d187718",
+ "metadata": {},
+ "source": [
+ "### Autoloading\n",
+ "\n",
+ "Using `autoload=True` in the __init__ of KnockoffTable will allow the schema including any unique constraints to be relfected automatically from the database. This setting requires the KnockoffTable instance to be prepared with a `KnockoffDatabaseService` which provides database operations that enables the autoloading. This is done via the KnockoffTable's `prepare` method which takes an optional database service which needs to be called prior to the `build` method. In most cases, the `prepare` and `build` method for the KnockoffTable will be called indirectly by a `KnockoffDB` instance."
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/poetry.lock b/poetry.lock
index 73d8f1c..d256342 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -54,6 +54,23 @@ category = "main"
optional = false
python-versions = "*"
+[[package]]
+name = "argon2-cffi"
+version = "20.1.0"
+description = "The secure Argon2 password hashing algorithm."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+cffi = ">=1.0.0"
+six = "*"
+
+[package.extras]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest", "sphinx", "wheel", "pre-commit"]
+docs = ["sphinx"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"]
+
[[package]]
name = "asn1crypto"
version = "1.4.0"
@@ -62,6 +79,14 @@ category = "main"
optional = false
python-versions = "*"
+[[package]]
+name = "async-generator"
+version = "1.10"
+description = "Async generators and context managers for Python 3.5+"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
[[package]]
name = "async-timeout"
version = "3.0.1"
@@ -100,6 +125,19 @@ category = "main"
optional = false
python-versions = "*"
+[[package]]
+name = "bleach"
+version = "3.3.1"
+description = "An easy safelist-based HTML-sanitizing tool."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[package.dependencies]
+packaging = "*"
+six = ">=1.9.0"
+webencodings = "*"
+
[[package]]
name = "botocore"
version = "1.20.49"
@@ -116,6 +154,17 @@ urllib3 = ">=1.25.4,<1.27"
[package.extras]
crt = ["awscrt (==0.10.8)"]
+[[package]]
+name = "cffi"
+version = "1.14.6"
+description = "Foreign Function Interface for Python calling C code."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+pycparser = "*"
+
[[package]]
name = "chardet"
version = "4.0.0"
@@ -143,6 +192,14 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
[package.extras]
toml = ["toml"]
+[[package]]
+name = "debugpy"
+version = "1.3.0"
+description = "An implementation of the Debug Adapter Protocol for Python"
+category = "dev"
+optional = false
+python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*"
+
[[package]]
name = "decorator"
version = "4.4.2"
@@ -151,6 +208,14 @@ category = "main"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*"
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+description = "XML bomb protection for Python stdlib modules"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
[[package]]
name = "dependency-injector"
version = "4.34.0"
@@ -179,6 +244,14 @@ python-versions = "*"
[package.dependencies]
setuptools_scm = "*"
+[[package]]
+name = "entrypoints"
+version = "0.3"
+description = "Discover and load entry points from installed packages."
+category = "dev"
+optional = false
+python-versions = ">=2.7"
+
[[package]]
name = "enum34"
version = "1.1.10"
@@ -245,7 +318,7 @@ python-versions = ">=3.5"
[[package]]
name = "importlib-metadata"
-version = "4.6.0"
+version = "3.10.1"
description = "Read metadata from Python packages"
category = "main"
optional = false
@@ -257,8 +330,7 @@ zipp = ">=0.5"
[package.extras]
docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
-perf = ["ipython"]
-testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
+testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
[[package]]
name = "iniconfig"
@@ -268,6 +340,27 @@ category = "dev"
optional = false
python-versions = "*"
+[[package]]
+name = "ipykernel"
+version = "6.0.2"
+description = "IPython Kernel for Jupyter"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+appnope = {version = "*", markers = "platform_system == \"Darwin\""}
+debugpy = ">=1.0.0,<2.0"
+importlib-metadata = {version = "<4", markers = "python_version < \"3.8.0\""}
+ipython = ">=7.23.1,<8.0"
+jupyter-client = "<7.0"
+matplotlib-inline = ">=0.1.0,<0.2.0"
+tornado = ">=4.2,<7.0"
+traitlets = ">=4.1.0,<6.0"
+
+[package.extras]
+test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "ipyparallel"]
+
[[package]]
name = "ipython"
version = "7.25.0"
@@ -308,6 +401,25 @@ category = "main"
optional = false
python-versions = "*"
+[[package]]
+name = "ipywidgets"
+version = "7.6.3"
+description = "IPython HTML widgets for Jupyter"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+ipykernel = ">=4.5.1"
+ipython = {version = ">=4.0.0", markers = "python_version >= \"3.3\""}
+jupyterlab-widgets = {version = ">=1.0.0", markers = "python_version >= \"3.6\""}
+nbformat = ">=4.2.0"
+traitlets = ">=4.3.1"
+widgetsnbextension = ">=3.5.0,<3.6.0"
+
+[package.extras]
+test = ["pytest (>=3.6.0)", "pytest-cov", "mock"]
+
[[package]]
name = "jedi"
version = "0.18.0"
@@ -323,6 +435,20 @@ parso = ">=0.8.0,<0.9.0"
qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<6.0.0)"]
+[[package]]
+name = "jinja2"
+version = "3.0.1"
+description = "A very fast and expressive template engine."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
[[package]]
name = "jmespath"
version = "0.10.0"
@@ -339,6 +465,117 @@ category = "main"
optional = false
python-versions = ">=3.6"
+[[package]]
+name = "jsonschema"
+version = "3.2.0"
+description = "An implementation of JSON Schema validation for Python"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+attrs = ">=17.4.0"
+importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
+pyrsistent = ">=0.14.0"
+six = ">=1.11.0"
+
+[package.extras]
+format = ["idna", "jsonpointer (>1.13)", "rfc3987", "strict-rfc3339", "webcolors"]
+format_nongpl = ["idna", "jsonpointer (>1.13)", "webcolors", "rfc3986-validator (>0.1.0)", "rfc3339-validator"]
+
+[[package]]
+name = "jupyter"
+version = "1.0.0"
+description = "Jupyter metapackage. Install all the Jupyter components in one go."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+ipykernel = "*"
+ipywidgets = "*"
+jupyter-console = "*"
+nbconvert = "*"
+notebook = "*"
+qtconsole = "*"
+
+[[package]]
+name = "jupyter-client"
+version = "6.2.0"
+description = "Jupyter protocol implementation and client libraries"
+category = "dev"
+optional = false
+python-versions = ">=3.6.1"
+
+[package.dependencies]
+jupyter-core = ">=4.6.0"
+nest-asyncio = ">=1.5"
+python-dateutil = ">=2.1"
+pyzmq = ">=13"
+tornado = ">=4.1"
+traitlets = "*"
+
+[package.extras]
+doc = ["sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
+test = ["async-generator", "ipykernel", "ipython", "mock", "pytest-asyncio", "pytest-timeout", "pytest", "mypy", "pre-commit", "jedi (<0.18)"]
+
+[[package]]
+name = "jupyter-console"
+version = "6.4.0"
+description = "Jupyter terminal console"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+ipykernel = "*"
+ipython = "*"
+jupyter-client = "*"
+prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
+pygments = "*"
+
+[package.extras]
+test = ["pexpect"]
+
+[[package]]
+name = "jupyter-core"
+version = "4.7.1"
+description = "Jupyter core package. A base package on which Jupyter projects rely."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\""}
+traitlets = "*"
+
+[[package]]
+name = "jupyterlab-pygments"
+version = "0.1.2"
+description = "Pygments theme using JupyterLab CSS variables"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+pygments = ">=2.4.1,<3"
+
+[[package]]
+name = "jupyterlab-widgets"
+version = "1.0.0"
+description = "A JupyterLab extension."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "markupsafe"
+version = "2.0.1"
+description = "Safely add untrusted strings to HTML/XML markup."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
[[package]]
name = "matplotlib-inline"
version = "0.1.2"
@@ -350,6 +587,14 @@ python-versions = ">=3.5"
[package.dependencies]
traitlets = "*"
+[[package]]
+name = "mistune"
+version = "0.8.4"
+description = "The fastest markdown parser in pure Python"
+category = "dev"
+optional = false
+python-versions = "*"
+
[[package]]
name = "mock"
version = "4.0.3"
@@ -382,6 +627,82 @@ category = "main"
optional = false
python-versions = ">=3.6"
+[[package]]
+name = "nbclient"
+version = "0.5.3"
+description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
+category = "dev"
+optional = false
+python-versions = ">=3.6.1"
+
+[package.dependencies]
+async-generator = "*"
+jupyter-client = ">=6.1.5"
+nbformat = ">=5.0"
+nest-asyncio = "*"
+traitlets = ">=4.2"
+
+[package.extras]
+dev = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "bumpversion", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"]
+sphinx = ["Sphinx (>=1.7)", "sphinx-book-theme", "mock", "moto", "myst-parser"]
+test = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "bumpversion", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"]
+
+[[package]]
+name = "nbconvert"
+version = "6.1.0"
+description = "Converting Jupyter Notebooks"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+bleach = "*"
+defusedxml = "*"
+entrypoints = ">=0.2.2"
+jinja2 = ">=2.4"
+jupyter-core = "*"
+jupyterlab-pygments = "*"
+mistune = ">=0.8.1,<2"
+nbclient = ">=0.5.0,<0.6.0"
+nbformat = ">=4.4"
+pandocfilters = ">=1.4.1"
+pygments = ">=2.4.1"
+testpath = "*"
+traitlets = ">=5.0"
+
+[package.extras]
+all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.2)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
+docs = ["sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
+serve = ["tornado (>=4.0)"]
+test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.2)"]
+webpdf = ["pyppeteer (==0.2.2)"]
+
+[[package]]
+name = "nbformat"
+version = "5.1.3"
+description = "The Jupyter Notebook format"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.dependencies]
+ipython-genutils = "*"
+jsonschema = ">=2.4,<2.5.0 || >2.5.0"
+jupyter-core = "*"
+traitlets = ">=4.1"
+
+[package.extras]
+fast = ["fastjsonschema"]
+test = ["check-manifest", "fastjsonschema", "testpath", "pytest", "pytest-cov"]
+
+[[package]]
+name = "nest-asyncio"
+version = "1.5.1"
+description = "Patch asyncio to allow nested event loops"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
[[package]]
name = "networkx"
version = "2.5.1"
@@ -406,6 +727,35 @@ pytest = ["pytest"]
pyyaml = ["pyyaml"]
scipy = ["scipy"]
+[[package]]
+name = "notebook"
+version = "6.4.0"
+description = "A web-based notebook environment for interactive computing"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+argon2-cffi = "*"
+ipykernel = "*"
+ipython-genutils = "*"
+jinja2 = "*"
+jupyter-client = ">=5.3.4"
+jupyter-core = ">=4.6.1"
+nbconvert = "*"
+nbformat = "*"
+prometheus-client = "*"
+pyzmq = ">=17"
+Send2Trash = ">=1.5.0"
+terminado = ">=0.8.3"
+tornado = ">=6.1"
+traitlets = ">=4.2.1"
+
+[package.extras]
+docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "myst-parser"]
+json-logging = ["json-logging"]
+test = ["pytest", "coverage", "requests", "nbval", "selenium", "pytest-cov", "requests-unixsocket"]
+
[[package]]
name = "numpy"
version = "1.21.0"
@@ -441,6 +791,14 @@ pytz = ">=2017.2"
[package.extras]
test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]
+[[package]]
+name = "pandocfilters"
+version = "1.4.3"
+description = "Utilities for writing pandoc filters in python"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
[[package]]
name = "parso"
version = "0.8.2"
@@ -508,6 +866,17 @@ importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
[package.extras]
dev = ["pre-commit", "tox"]
+[[package]]
+name = "prometheus-client"
+version = "0.11.0"
+description = "Python client for the Prometheus monitoring system."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.extras]
+twisted = ["twisted"]
+
[[package]]
name = "prompt-toolkit"
version = "3.0.19"
@@ -565,6 +934,14 @@ python-versions = ">=3.6"
[package.dependencies]
numpy = ">=1.16.6"
+[[package]]
+name = "pycparser"
+version = "2.20"
+description = "C parser in Python"
+category = "dev"
+optional = false
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psycopg2 = ">=2.5"
PyYAML = ">=3.10"
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optional = false
python-versions = "*"
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optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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[package.dependencies]
asn1crypto = "1.4.0"
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timezone = ["python-dateutil"]
url = ["furl (>=0.4.1)"]
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testing = ["sqlalchemy", "nose", "psycopg2"]
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optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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optional = false
python-versions = "*"
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+ {file = "tornado-6.1-cp39-cp39-win32.whl", hash = "sha256:d3d20ea5782ba63ed13bc2b8c291a053c8d807a8fa927d941bd718468f7b950c"},
+ {file = "tornado-6.1-cp39-cp39-win_amd64.whl", hash = "sha256:548430be2740e327b3fe0201abe471f314741efcb0067ec4f2d7dcfb4825f3e4"},
+ {file = "tornado-6.1.tar.gz", hash = "sha256:33c6e81d7bd55b468d2e793517c909b139960b6c790a60b7991b9b6b76fb9791"},
+]
traitlets = [
{file = "traitlets-5.0.5-py3-none-any.whl", hash = "sha256:69ff3f9d5351f31a7ad80443c2674b7099df13cc41fc5fa6e2f6d3b0330b0426"},
{file = "traitlets-5.0.5.tar.gz", hash = "sha256:178f4ce988f69189f7e523337a3e11d91c786ded9360174a3d9ca83e79bc5396"},
@@ -1531,6 +2435,14 @@ wcwidth = [
{file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
{file = "wcwidth-0.2.5.tar.gz", hash = "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"},
]
+webencodings = [
+ {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
+ {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
+]
+widgetsnbextension = [
+ {file = "widgetsnbextension-3.5.1-py2.py3-none-any.whl", hash = "sha256:bd314f8ceb488571a5ffea6cc5b9fc6cba0adaf88a9d2386b93a489751938bcd"},
+ {file = "widgetsnbextension-3.5.1.tar.gz", hash = "sha256:079f87d87270bce047512400efd70238820751a11d2d8cb137a5a5bdbaf255c7"},
+]
wrapt = [
{file = "wrapt-1.12.1.tar.gz", hash = "sha256:b62ffa81fb85f4332a4f609cab4ac40709470da05643a082ec1eb88e6d9b97d7"},
]
diff --git a/pyproject.toml b/pyproject.toml
index aabcf75..04bf0ee 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "knockoff"
-version = "4.0.0"
+version = "4.1.0"
description = "Library for generating and bootstrapping mock data"
authors = ["Gregory Yu "]
readme = "README.md"
@@ -40,6 +40,7 @@ pytest = { version = ">=4.6.9" }
more-itertools = { version = "==5.0.0" }
mock = { version = ">=3.0.4" }
pytest-cov = { version = "~2.12.1" }
+jupyter = { version = "~1.0.0" }
[tool.poetry.extras]
complete = ["Pyrseas"]
diff --git a/tests/knockoff/sdk/factory/test_collections.py b/tests/knockoff/sdk/factory/test_collections.py
index 120a8b4..477ccf2 100644
--- a/tests/knockoff/sdk/factory/test_collections.py
+++ b/tests/knockoff/sdk/factory/test_collections.py
@@ -4,12 +4,23 @@
# This source code is licensed under the Apache-2.0 license found in
# the LICENSE file in the root directory of this source tree.
+import pytest
+from unittest import TestCase
import pandas as pd
-from knockoff.sdk.factory.collections import KnockoffDataFrameFactory
+from knockoff.sdk.factory.collections import KnockoffDataFrameFactory, CollectionsFactory
from knockoff.sdk.factory.next_strategy.df import cycle_df_factory
+
+def some_func():
+ return {
+ 'a': 1,
+ 'b': 2,
+ 'c': 3
+ }
+
+
class TestCollections(object):
def test_knockoff_dataframe_factory_cycle(self):
@@ -26,3 +37,29 @@ def test_knockoff_dataframe_factory_cycle(self):
assert df_expected.equals(df_actual1)
assert df_expected.equals(df_actual2)
+
+ @pytest.mark.parametrize("kwargs,expected",
+ [({}, {'a':1, 'b': 2, 'c':3}),
+ ({'columns': ['a','c']}, {'a':1, 'c':3}),
+ ({'rename': {'a':'a1'}}, {'a1':1, 'b': 2, 'c':3}),
+ ({'drop': ['a','c']}, {'b': 2})]
+ )
+ def test_collections_factory(self, kwargs, expected):
+ factory = CollectionsFactory(some_func, **kwargs)
+ actual = factory()
+ TestCase().assertDictEqual(actual, expected)
+
+
+ def test_collections_factory_depends_on(self):
+ def another_func(x,y):
+ return {
+ 'x': x,
+ 'y': y,
+ 'z': x+y
+ }
+ factory = CollectionsFactory(another_func, depends_on=['x','y'])
+ actual = factory(x=1,y=2)
+ TestCase().assertDictEqual(actual, {'x':1,'y':2,'z':3})
+
+ with pytest.raises(TypeError):
+ factory()