%global _empty_manifest_terminate_build 0
Name:		python-Fedtools
Version:	0.0.7
Release:	1
Summary:	An open source library for the extraction of Federal Reserve Data.
License:	MIT
URL:		https://pypi.org/project/Fedtools/
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/3b/25/dec08164bb5d4e4323793b7af519b51a003d624a6a8e8636051330f6ab25/Fedtools-0.0.7.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-pandas
Requires:	python3-requests
Requires:	python3-beautifulsoup4
Requires:	python3-fake-useragent
Requires:	python3-dateutil
Requires:	python3-pytz
Requires:	python3-six
Requires:	python3-soupsieve

%description
# FedTools

[![Downloads](https://static.pepy.tech/personalized-badge/fedtools?period=total&units=international_system&left_color=black&right_color=blue&left_text=Downloads)](https://pepy.tech/project/fedtools) [![Downloads](https://pepy.tech/badge/fedtools/month)](https://pepy.tech/project/fedtools)

An open source Python library for the scraping of Federal Reserve data.

By default, all modules within FedTools use 10 threads to increase scraping speed. By default, the Output is a 
Pandas DataFrame, indexed by release date of the materials. Additional serialised storage methods are optional.

## Installation

```python
pip install Fedtools
```

Import the classes:

```python
from FedTools import MonetaryPolicyCommittee
from FedTools import BeigeBooks
from FedTools import FederalReserveMins
```

## Usage

Returns a Pandas DataFrame ```dataset```, which contains all Meeting Minutes, indexed by Date:
```python
from FedTools import MonetaryPolicyCommittee

dataset = MonetaryPolicyCommittee().find_statements()
MonetaryPolicyCommittee().pickle_data("directory.pkl")
```

Returns a Pandas DataFrame ```dataset```, which contains all Beige Books, indexed by Date:
```python
from FedTools import BeigeBooks

dataset = BeigeBooks().find_beige_books()
BeigeBooks().pickle_data("directory.pkl")
```

Returns a Pandas DataFrame ```dataset```, which contains all Federal Reserve Minutes since 1993, indexed by Date:
```python
from FedTools import FederalReserveMins

dataset = FederalReserveMins().find_minutes()
FederalReserveMins().pickle_data("directory.pkl")
```

## Edit Default Input Arguments

###Monetary Policy Committee

To modify the ```MonetaryPolicyCommittee``` default parameters, each of the below can be adjusted: 

```python
monetary_policy = MonetaryPolicyCommittee(
            main_url = 'https://www.federalreserve.gov', 
            calendar_url = 'https://www.federalreserve.gov/monetarypolicy/fomccalendars.htm',
            start_year = 1994,    
            historical_split = 2014,
            verbose = True,
            thread_num = 10)
            
dataset = monetary_policy.find_statements()
```

### BeigeBooks

To modify the ```BeigeBooks``` default parameters, each of the below can be adjusted:

```python
beige_books = BeigeBooks(
            main_url = 'https://www.federalreserve.gov', 
            beige_book_url='https://www.federalreserve.gov/monetarypolicy/beige-book-default.htm',
            start_year = 1996,        
            historical_split = 2019,
            verbose = True,
            thread_num = 10)
                 
dataset = beige_books.find_beige_books()
```

### FederalReserveMins

To modify the ```FederalReserveMins``` default parameters, each of the below can be adjusted:

```python
fed_mins = FederalReserveMins(
            main_url = 'https://www.federalreserve.gov', 
            calendar_url ='https://www.federalreserve.gov/monetarypolicy/fomccalendars.htm',
            start_year = 1995,        
            historical_split = 2014,
            verbose = True,
            thread_num = 10)

dataset = fed_mins.find_minutes()
```

### Parameter Explanation


All parameters within the package have default values which can be overriden, with a short explanation of each parameter outlined below:

| Argument | Description |
| ------ | --------- |
| main_url | Federal Reserve Open Monetary Policy (FOMC) website URL. (str) |
| calendar_url | URL containing a list of FOMC Meeting dates and Minutes release dates. (str) |
| beige_book_url | URL containing a list of Beige Book release dates. (str)  |
| start_year     | first year from which to begin collecting data. (int)   |
| historical_split | first year considered as historical ([Check Here for FOMC and Minutes][hist] or [Check Here for Beige Books][hist1]). (int)  |
| verbose | boolean determining printing during scraping. (bool) |
| thread_num | the number of threads to use for web scraping. (int)   |






[hist]: <https://www.federalreserve.gov/monetarypolicy/fomc_historical_year.htm>
[hist1]: <https://www.federalreserve.gov/monetarypolicy/beige-book-archive.htm>



%package -n python3-Fedtools
Summary:	An open source library for the extraction of Federal Reserve Data.
Provides:	python-Fedtools
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-Fedtools
# FedTools

[![Downloads](https://static.pepy.tech/personalized-badge/fedtools?period=total&units=international_system&left_color=black&right_color=blue&left_text=Downloads)](https://pepy.tech/project/fedtools) [![Downloads](https://pepy.tech/badge/fedtools/month)](https://pepy.tech/project/fedtools)

An open source Python library for the scraping of Federal Reserve data.

By default, all modules within FedTools use 10 threads to increase scraping speed. By default, the Output is a 
Pandas DataFrame, indexed by release date of the materials. Additional serialised storage methods are optional.

## Installation

```python
pip install Fedtools
```

Import the classes:

```python
from FedTools import MonetaryPolicyCommittee
from FedTools import BeigeBooks
from FedTools import FederalReserveMins
```

## Usage

Returns a Pandas DataFrame ```dataset```, which contains all Meeting Minutes, indexed by Date:
```python
from FedTools import MonetaryPolicyCommittee

dataset = MonetaryPolicyCommittee().find_statements()
MonetaryPolicyCommittee().pickle_data("directory.pkl")
```

Returns a Pandas DataFrame ```dataset```, which contains all Beige Books, indexed by Date:
```python
from FedTools import BeigeBooks

dataset = BeigeBooks().find_beige_books()
BeigeBooks().pickle_data("directory.pkl")
```

Returns a Pandas DataFrame ```dataset```, which contains all Federal Reserve Minutes since 1993, indexed by Date:
```python
from FedTools import FederalReserveMins

dataset = FederalReserveMins().find_minutes()
FederalReserveMins().pickle_data("directory.pkl")
```

## Edit Default Input Arguments

###Monetary Policy Committee

To modify the ```MonetaryPolicyCommittee``` default parameters, each of the below can be adjusted: 

```python
monetary_policy = MonetaryPolicyCommittee(
            main_url = 'https://www.federalreserve.gov', 
            calendar_url = 'https://www.federalreserve.gov/monetarypolicy/fomccalendars.htm',
            start_year = 1994,    
            historical_split = 2014,
            verbose = True,
            thread_num = 10)
            
dataset = monetary_policy.find_statements()
```

### BeigeBooks

To modify the ```BeigeBooks``` default parameters, each of the below can be adjusted:

```python
beige_books = BeigeBooks(
            main_url = 'https://www.federalreserve.gov', 
            beige_book_url='https://www.federalreserve.gov/monetarypolicy/beige-book-default.htm',
            start_year = 1996,        
            historical_split = 2019,
            verbose = True,
            thread_num = 10)
                 
dataset = beige_books.find_beige_books()
```

### FederalReserveMins

To modify the ```FederalReserveMins``` default parameters, each of the below can be adjusted:

```python
fed_mins = FederalReserveMins(
            main_url = 'https://www.federalreserve.gov', 
            calendar_url ='https://www.federalreserve.gov/monetarypolicy/fomccalendars.htm',
            start_year = 1995,        
            historical_split = 2014,
            verbose = True,
            thread_num = 10)

dataset = fed_mins.find_minutes()
```

### Parameter Explanation


All parameters within the package have default values which can be overriden, with a short explanation of each parameter outlined below:

| Argument | Description |
| ------ | --------- |
| main_url | Federal Reserve Open Monetary Policy (FOMC) website URL. (str) |
| calendar_url | URL containing a list of FOMC Meeting dates and Minutes release dates. (str) |
| beige_book_url | URL containing a list of Beige Book release dates. (str)  |
| start_year     | first year from which to begin collecting data. (int)   |
| historical_split | first year considered as historical ([Check Here for FOMC and Minutes][hist] or [Check Here for Beige Books][hist1]). (int)  |
| verbose | boolean determining printing during scraping. (bool) |
| thread_num | the number of threads to use for web scraping. (int)   |






[hist]: <https://www.federalreserve.gov/monetarypolicy/fomc_historical_year.htm>
[hist1]: <https://www.federalreserve.gov/monetarypolicy/beige-book-archive.htm>



%package help
Summary:	Development documents and examples for Fedtools
Provides:	python3-Fedtools-doc
%description help
# FedTools

[![Downloads](https://static.pepy.tech/personalized-badge/fedtools?period=total&units=international_system&left_color=black&right_color=blue&left_text=Downloads)](https://pepy.tech/project/fedtools) [![Downloads](https://pepy.tech/badge/fedtools/month)](https://pepy.tech/project/fedtools)

An open source Python library for the scraping of Federal Reserve data.

By default, all modules within FedTools use 10 threads to increase scraping speed. By default, the Output is a 
Pandas DataFrame, indexed by release date of the materials. Additional serialised storage methods are optional.

## Installation

```python
pip install Fedtools
```

Import the classes:

```python
from FedTools import MonetaryPolicyCommittee
from FedTools import BeigeBooks
from FedTools import FederalReserveMins
```

## Usage

Returns a Pandas DataFrame ```dataset```, which contains all Meeting Minutes, indexed by Date:
```python
from FedTools import MonetaryPolicyCommittee

dataset = MonetaryPolicyCommittee().find_statements()
MonetaryPolicyCommittee().pickle_data("directory.pkl")
```

Returns a Pandas DataFrame ```dataset```, which contains all Beige Books, indexed by Date:
```python
from FedTools import BeigeBooks

dataset = BeigeBooks().find_beige_books()
BeigeBooks().pickle_data("directory.pkl")
```

Returns a Pandas DataFrame ```dataset```, which contains all Federal Reserve Minutes since 1993, indexed by Date:
```python
from FedTools import FederalReserveMins

dataset = FederalReserveMins().find_minutes()
FederalReserveMins().pickle_data("directory.pkl")
```

## Edit Default Input Arguments

###Monetary Policy Committee

To modify the ```MonetaryPolicyCommittee``` default parameters, each of the below can be adjusted: 

```python
monetary_policy = MonetaryPolicyCommittee(
            main_url = 'https://www.federalreserve.gov', 
            calendar_url = 'https://www.federalreserve.gov/monetarypolicy/fomccalendars.htm',
            start_year = 1994,    
            historical_split = 2014,
            verbose = True,
            thread_num = 10)
            
dataset = monetary_policy.find_statements()
```

### BeigeBooks

To modify the ```BeigeBooks``` default parameters, each of the below can be adjusted:

```python
beige_books = BeigeBooks(
            main_url = 'https://www.federalreserve.gov', 
            beige_book_url='https://www.federalreserve.gov/monetarypolicy/beige-book-default.htm',
            start_year = 1996,        
            historical_split = 2019,
            verbose = True,
            thread_num = 10)
                 
dataset = beige_books.find_beige_books()
```

### FederalReserveMins

To modify the ```FederalReserveMins``` default parameters, each of the below can be adjusted:

```python
fed_mins = FederalReserveMins(
            main_url = 'https://www.federalreserve.gov', 
            calendar_url ='https://www.federalreserve.gov/monetarypolicy/fomccalendars.htm',
            start_year = 1995,        
            historical_split = 2014,
            verbose = True,
            thread_num = 10)

dataset = fed_mins.find_minutes()
```

### Parameter Explanation


All parameters within the package have default values which can be overriden, with a short explanation of each parameter outlined below:

| Argument | Description |
| ------ | --------- |
| main_url | Federal Reserve Open Monetary Policy (FOMC) website URL. (str) |
| calendar_url | URL containing a list of FOMC Meeting dates and Minutes release dates. (str) |
| beige_book_url | URL containing a list of Beige Book release dates. (str)  |
| start_year     | first year from which to begin collecting data. (int)   |
| historical_split | first year considered as historical ([Check Here for FOMC and Minutes][hist] or [Check Here for Beige Books][hist1]). (int)  |
| verbose | boolean determining printing during scraping. (bool) |
| thread_num | the number of threads to use for web scraping. (int)   |






[hist]: <https://www.federalreserve.gov/monetarypolicy/fomc_historical_year.htm>
[hist1]: <https://www.federalreserve.gov/monetarypolicy/beige-book-archive.htm>



%prep
%autosetup -n Fedtools-0.0.7

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-Fedtools -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.7-1
- Package Spec generated