some minor changes/fixes

- improved requirements parse function so as to receive filename as param
- generated and included requirements.txt for both tests/ and docs/
- included all requirements.txt files into MANIFEST.in #7
- updated release version from 0.6 to 0.7
- updated docs/ (make clean & make html)

MANIFEST.in

@@ -1 +1,4 @@
 include README.md
+include requirements.txt
+include docs/requirements.txt
+include tests/requirements.txt

README.md

@@ -32,7 +32,7 @@ In order to get this package working you will need to install it using pip by ty
 
 Or just install the current release or a specific release version such as:
 
-``$ python -m pip install trendet==0.6``
+``$ python -m pip install trendet==0.7``
 
 ## Usage
 

docs/conf.py

@@ -27,7 +27,7 @@
 author = 'Alvaro Bartolome del Canto'
 
 # The full version, including alpha/beta/rc tags
-release = '0.6'
+release = '0.7'
 
 
 # -- General configuration ---------------------------------------------------

docs/installation.rst

@@ -7,4 +7,4 @@ In order to get this package working you will need to install it using pip by ty
 
 Or just install the current release or a specific release version such as::
 
-    $ python -m pip install trendet==0.6
+    $ python -m pip install trendet==0.7

docs/requirements.txt

@@ -0,0 +1,3 @@
+sphinx==2.4.4
+sphinx_rtd_theme==0.4.3
+recommonmark==0.6.0

docs/usage.rst

@@ -70,7 +70,7 @@ Identify All Trends of investpy DataFrame
 -----------------------------------------
 
 Additionally **trendet** allows the user to identify/detect all the up and down trends on the market
-via the function ``identify_all_trends`` which has been included in 0.6 release. So on, the sample code for
+via the function ``identify_all_trends`` which has been included in 0.7 release. So on, the sample code for
 its usage is as follows:
 
 .. code-block:: python

setup.py

@@ -9,27 +9,27 @@ def readme():
     with io.open('README.md', encoding='utf-8') as f:
         return f.read()
 
-def requirements():
+def requirements(filename):
     reqs = list()
-    with io.open('requirements.txt', encoding='utf-8') as f:
+    with io.open(filename, encoding='utf-8') as f:
         for line in f.readlines():
             reqs.append(line.strip())
     return reqs
 
 
 setup(
     name='trendet',
-    version='0.6',
+    version='0.7',
     packages=find_packages(),
     url='https://github.com/alvarobartt/trendet',
-    download_url='https://github.com/alvarobartt/trendet/archive/0.6.tar.gz',
+    download_url='https://github.com/alvarobartt/trendet/archive/0.7.tar.gz',
     license='MIT License',
     author='Alvaro Bartolome',
     author_email='alvarob96@usal.es',
-    description='trendet - Trend detection on stock time series data',
+    description='Trend detection on stock time series data',
     long_description=readme(),
     long_description_content_type='text/markdown',
-    install_requires=requirements(),
+    install_requires=requirements(filename="requirements.txt"),
     include_package_data=True,
     classifiers=[
         "Development Status :: 4 - Beta",
@@ -44,8 +44,15 @@ def requirements():
         "Topic :: Scientific/Engineering :: Information Analysis",
         "Topic :: Software Development :: Libraries",
     ],
-    keywords='trend detection, stock analysis, stock, trend analysis',
+    keywords=', '.join([
+        "trend detection", "stock analysis", "stock", "trend analysis",
+        "stock trends", "financial trends"
+    ]),
     python_requires='>=3',
+    extras_require={
+        "tests": requirements(filename='tests/requirements.txt'),
+        "docs": requirements(filename='docs/requirements.txt')
+    },
     project_urls={
         'Bug Reports': 'https://github.com/alvarobartt/trendet/issues',
         'Source': 'https://github.com/alvarobartt/trendet',

tests/requirements.txt

@@ -0,0 +1,4 @@
+pytest
+codecov
+pytest-codecov
+investpy>=0.9.14

trendet/__init__.py

@@ -2,6 +2,6 @@
 # See LICENSE for details.
 
 __author__ = 'Alvaro Bartolome @ alvarobartt on GitHub'
-__version__ = '0.6'
+__version__ = '0.7'
 
 from .identification import identify_trends, identify_all_trends, identify_df_trends