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diff --git a/python-pyfmpcloud.spec b/python-pyfmpcloud.spec new file mode 100644 index 0000000..bde722e --- /dev/null +++ b/python-pyfmpcloud.spec @@ -0,0 +1,1176 @@ +%global _empty_manifest_terminate_build 0 +Name: python-pyfmpcloud +Version: 1.1.6 +Release: 1 +Summary: A python-based wrapper for the Financial Models Prep pro API (fmpcloud.io) for financial data of public companies +License: MIT +URL: https://github.com/razorhash/pyfmpcloud/ +Source0: https://mirrors.aliyun.com/pypi/web/packages/c8/54/be43b3e3025937433e0992809b826242e13f6c93785f1a333c990f4a5240/pyfmpcloud-1.1.6.tar.gz +BuildArch: noarch + + +%description +# A Python wrapper library for the Financial Model Prep pro (fmpcloud.io) + +[](https://pypi.org/project/pyfmpcloud/) +[](https://pypi.org/project/pyfmpcloud/) +[](https://github.com/razorhash/pyfmpcloud/blob/master/LICENSE) + +[](https://travis-ci.org/razorhash/pyfmpcloud) + +pyfmpcloud is a Python wrapper library for the Financial Model Prep pro API (fmpcloud.io) + +## Installation + +Use the package manager [pip](https://pip.pypa.io/en/stable/) to install pyfmpcloud + +```bash +pip install pyfmpcloud --upgrade --no-cache-dir +``` + +Alternatively, download and extract the *.tar.gz folder, and run the following command from the +root directory in your shell: + +```bash +make setup +``` + +## Usage + +pyfmpcloud contains a ``settings`` module and five other modules that are the core of the +pyfmpcloud API wrapper. + + +The following sections show the five main modules for pyfmpcloud and their usage with examples. +Note that the modules are structured in the same way as the API documentation that can be found +at [fmpcloud.io API documentation](https://fmpcloud.io/documentation). The names of the functions +within the modules also follow the naming convention on this documentation. This helps with staying +consistent. The five modules and their functions are as follows: + +### Settings +```python +from pyfmpcloud import settings +``` +General helper functions to access and update settings for the library environment. These are: + +``set_apikey``: Please set your API Key in this file using the settings.set_apikey([YOUR KEY]). The key can be retrieved from fmpcloud.io by signing up. Default is the 'demo' key. Example: +```python +settings.set_apikey('stringcontainingyourapikey') +``` +``get_apikey``: Gets the currently set API key. Default is `demo` +```python +settings.get_apikey() +``` +``get_urlroot``: Gets the root API url for fmpcloud.io +```python +settings.get_urlroot() +``` +``get_urlrootfmp``: Gets the root API url for fmpcloud's sister API financialmodelprep.com. Good to have but is not currently used in the wrapper. +```python +settings.get_urlrootfmp() +``` + +### Company Valuation +```python +from pyfmpcloud import company_valuation as cv +``` +Here, you have functions that wrap around the APIs listed in fmpcloud.io (see [fmpcloud.io API documentation](https://fmpcloud.io/documentation)) under Company Valuation. These are: + +``rss_feed``: This function returns updates for all filings of public companies, including their filing type (10-Q, 13-F, etc.), their CIK number, and the date and time of the filing. + +```python +cv.rss_feed() +``` +``balance_sheet``: This function returns the balance sheet information of the specified ticker. Inputs are: ``ticker``, ``period``(_'annual'_ or _'quarter'_) and ``ftype``(_'full'_ or _'growth'_) + +Examples: + +```python +cv.balance_sheet(ticker = 'AAPL', period = 'annual', ftype = 'full') +cv.balance_sheet(ticker = 'AAPL', period = 'annual', ftype = 'growth') +cv.balance_sheet(ticker = 'AAPL', period = 'quarter', ftype = 'full') +cv.balance_sheet(ticker = 'AAPL', period = 'quarter', ftype = 'growth') +``` + +``income_statement``: This function returns the income statement of the specified ticker. Inputs arguments are: ``ticker``, ``period``(_'annual'_ or _'quarter'_) and ``ftype``(_'full'_, _'growth'_) + +Examples: + +```python +cv.balance_sheet(ticker = 'AAPL', period = 'annual', ftype = 'full') +cv.balance_sheet(ticker = 'AAPL', period = 'annual', ftype = 'growth') +cv.balance_sheet(ticker = 'AAPL', period = 'quarter', ftype = 'full') +cv.balance_sheet(ticker = 'AAPL', period = 'quarter', ftype = 'growth') +``` + +``cash_flow_statement``: This function returns the cash-flow statement of the specified ticker. Inputs are Inputs are: ``ticker``, ``period``(_'annual'_ or _'quarter'_) and ``ftype``(_'full'_ or _'growth'_) + +Examples: + +```python +cv.cash_flow_statement(ticker = 'AAPL', period = 'annual', ftype = 'full') +cv.cash_flow_statement(ticker = 'AAPL', period = 'annual', ftype = 'growth') +cv.cash_flow_statement(ticker = 'AAPL', period = 'quarter', ftype = 'full') +cv.cash_flow_statement(ticker = 'AAPL', period = 'quarter', ftype = 'growth') +``` + +``financial_ratios``: This function returns the financial ratios of the specified ticker. ``ttm`` can provide these ratios for the trailing twelve months. Inputs arguments are: ``ticker``, ``period``(_'annual'_ or _'quarter'_) and ``ttm``(``True`` or ``False``) + +Examples: + +```python +cv.financial_ratios(ticker = 'AAPL', period = 'annual', ttm = True) +cv.financial_ratios(ticker = 'AAPL', period = 'annual', ttm = False) +cv.financial_ratios(ticker = 'AAPL', period = 'quarter', ttm = True) +cv.financial_ratios(ticker = 'AAPL', period = 'quarter', ttm = False) +``` + +``key_metrics`` : This function returns the key metrics of the specified ticker. Inputs are: ``ticker`` and ``period``(_'annual'_ or _'quarter'_) + +Examples: + +```python +cv.key_metrics(ticker = 'AAPL', period = 'annual') +cv.key_metrics(ticker = 'AAPL', period = 'quarter') +``` + +``enterprise_value`` : This function returns the enterprise value of the specified ticker. Inputs are: ``ticker`` and ``period``(_'annual'_ or _'quarter'_) + +Examples: + +```python +cv.enterprise_value(ticker = 'AAPL', period = 'annual') +cv.enterprise_value(ticker = 'AAPL', period = 'quarter') +``` +``financial_statements_growth`` : This function returns the financial statements growth/evolution over time of the specified ticker. Inputs are: ``ticker`` and ``period``(_'annual'_ or _'quarter'_) + +Examples: + +```python +cv.financial_statements_growth(ticker = 'AAPL', period = 'annual') +cv.financial_statements_growth(ticker = 'AAPL', period = 'quarter') +``` + +``dcf`` : This function returns the discounted cashflow value of the specified ticker, over time. Inputs are: ``ticker`` and ``history``(_'today'_, _'daily'_, _'annual'_ or _'quarter'_) + +Examples: + +```python +cv.dcf(ticker = 'AAPL', history = 'today') +cv.dcf(ticker = 'AAPL', history = 'daily') +cv.dcf(ticker = 'AAPL', history = 'annual') +cv.dcf(ticker = 'AAPL', history = 'quarter') +``` + +``market_capitalization`` : This function returns the market capitalization of the specified ticker, over time. Inputs are: ``ticker`` and ``history``(_'today'_, _'daily'_) + +Examples: + +```python +cv.market_capitalization(ticker = 'AAPL', history = 'today') +cv.market_capitalization(ticker = 'AAPL', history = 'daily') +``` + +``rating``: This function returns the ratings of the specified ticker, over time. Inputs are: ``ticker`` and ``history``(_'today'_, _'daily'_) + +Examples: + +```python +cv.rating(ticker = 'AAPL', history = 'today') +cv.rating(ticker = 'AAPL', history = 'daily') +``` + +``stock_screener`` : A function to screen stocks based on market capitalization, beta, dividend payouts, trading volume and sector. Also allows you to limit the number of rows returned from the request. The following are the arguments to apply the filter. + +``mcgt`` : ``float`` input for **m**arket **c**ap **g**reater **t**han. +``mclt`` : ``float`` input for **m**arket **c**ap **l**ess **t**han +``bgt`` : ``float`` input for **b**eta **g**reater **t**han +``blt`` : ``float`` input for **b**eta **l**ess **t**han +``divgt`` : ``float`` input for **div**idend **g**reater **t**han +``divlt`` : ``float`` input for **div**idend **l**ess **t**han +``volgt`` : ``float`` input for **vol**ume **g**reater **t**han +``vollt`` : ``float`` input for **vol**ume **l**ess **t**han +``sector`` : ``string`` input for sector. +``limit`` : ``int`` input for limit of returned rows from the API request + +Examples: + +```python +cv.stock_screener(mcgt = 1000000, mclt = 5000000, bgt = 1.2, blt = 2.1) +cv.stock_screener(mcgt = 1000000, mclt = 5000000, volgt = 500000, blt = 2.1, divgt = 1) +``` +### Stock Time Series +```python +from pyfmpcloud import stock_time_series as sts +``` +These contain functions from fmpcloud.io 's API for Stock Time Series (see [fmpcloud.io API documentation](https://fmpcloud.io/documentation)) under Stock Time Series. these are: + +``real_time_quote``: Real-Time Quotes for specified tickers. Input is ``ticker`` + +Example: +```python +sts.real_time_quote('AAPL') +``` + +``ticker_search``: Partial matching of tickers based on provided string element. Inputs are ``match``, ``limit`` and ``exchange`` + +Examples: +```python +sts.ticker_search(match = 'AA', limit = 100, exchange = 'Nasdaq') +``` + +``historical_stock_data``: Historical stock data for specified tickers based on specified ``period`` ('1 min', '5min', '15min', '30min' and '1hour', or daily change type ``dailytype`` (_'line'_, _'change'_). ``period`` and ``dailytype`` cannot be used together. If ``dailytype`` is used, you can specify ``start`` and ``end`` dates for your request. Dates are a simple string (**not** a datetime object) in the format yyyy-mm-dd. Alternatively, you can also specify a request for daily prices over the last number of days using ``last`` + +Examples: + +``` python +sts.historical_stock_data('AAPL', period = '1hour') +sts.historical_stock_data('AAPL', dailytype = 'line', start = '2019-04-15', end = '2020-04-15') +sts.historical_stock_data('AAPL', dailytype = 'change', start = '2019-04-15', end = '2020-04-15') +sts.historical_stock_data('AAPL', dailytype = 'change', last = 30) +``` + +``batch_request_eod_prices``: batch request for EOD prices for a single date (if no date is specified, it will return the EOD prices for the last market close). Only accepts an array of strings, even for a single ``ticker`` request. If tickers are provided, a date **must** be provided. If no ticker is provided, it will return the EOD prices for all tickers. ``date`` is a simple string (**not** a datetime object) in the format yyyy-mm-dd + +Examples: + +``` python +sts.batch_request_eod_prices() +sts.batch_request_eod_prices(['AAPL'], date='2020-04-15') +sts.batch_request_eod_prices(date='2020-04-15') +sts.batch_request_eod_prices(['AAPL', 'FB', 'MSFT'], date='2020-04-15') +``` + +``symbol_list``: List of all available tickers. + +Example: +```python +sts.symbol_list() +``` + +``company_profile``: Company profile for the specified ticker + +Example: +```python +sts.company_profile('AAPL') +``` + +``available_markets_and_tickers``: List of available stocks on the specified market (e.g. Nasdaq), and prices of the tickers on the specified market. Inputs are ``markettype`` ('_ETF_','_Commodities_','_Euronext_','_NYSE_','_AMEX_','_TSX_','_Mutual Funds_','_Index_' or '_Nasdaq_') and a boolean ``marketprices` (``True or ``False``) to indicate if prices of the tickers for the specified ``markettypes`` are sought. + +Examples: +```python +sts.available_markets_and_tickers(markettype = 'Nasdaq') +sts.available_markets_and_tickers(markettype = 'Nasdaq', marketprices = True) +``` + +``stock_market_performances``: Overview of the market performance across specified performance type, such as by sector, or by largest gainers. Input is ``performancetype``('_active_','_gainers_','_losers_','_sector_','_sector historical_', 'market hours') + +Examples: +```python +sts.stock_market_performances(performancetype = 'active') +sts.stock_market_performances(performancetype = 'market hours') +``` +### Forex +```python +from pyfmpcloud import forex as fx +``` +These contain functions from fmpcloud.io 's API for Forex (see fmpcloud.io API documentation). these are: + +``forex_realtime_quote``: Real-time quotes for specified fx tickers. You can request the list of forex, their prices, or both through the ``fxtype`` (_'list'_, _'price'_, _'both'_) argument. + +Examples: +```python +fx.forex_realtime_quote(fxtype = 'list') +fx.forex_realtime_quote(fxtype = 'price') +fx.forex_realtime_quote(fxtype = 'both') +``` + +``forex_historical_data``: Historical fx data for specified tickers based on specified ``period`` ('1 min', '5min', '15min', '30min' and '1hour', or daily change type ``dailytype`` (_'line'_, _'change'_). ``period`` and ``dailytype`` cannot be used together. If ``dailytype`` is used, you can specify ``start`` and ``end`` dates for your request. Dates are a simple string (**not** a datetime object) in the format yyyy-mm-dd. Alternatively, you can also specify a request for daily fx prices over the last number of days using ``last`` + +Examples: + +``` python +fx.forex_historical_data('EURUSD', period = '1hour') +fx.forex_historical_data('EURUSD', dailytype = 'line', start = '2019-04-15', end = '2020-04-15') +fx.forex_historical_data('EURUSD', dailytype = 'change', start = '2019-04-15', end = '2020-04-15') +fx.forex_historical_data('EURUSD', dailytype = 'change', last = 30) +``` + +### Crypto +```python +from pyfmpcloud import crypto as cp +``` +These contain functions from fmpcloud.io 's API for Crypto (see fmpcloud.io API documentation). These are: + +``crypto_realtime_quote``: Real-time quotes for specified crypto tickers. You can request the list of crypto or their prices through the ``cryptotype`` (_'list'_, _'price'_) argument. + +Examples: +```python +cp.crypto_realtime_quote(cryptotype = 'list') +cp.crypto_realtime_quote(cryptotype = 'price') +``` + +``crypto_historical_data``: Historical crypto data for specified tickers based on specified ``period`` ('1 min', '5min', '15min', '30min' and '1hour', or daily change type ``dailytype`` (_'line'_, _'change'_). ``period`` and ``dailytype`` cannot be used together. If ``dailytype`` is used, you can specify ``start`` and ``end`` dates for your request. Dates are a simple string (**not** a datetime object) in the format yyyy-mm-dd. Alternatively, you can also specify a request for daily fx prices over the last number of days using ``last`` + +Examples: + +``` python +cp.crypto_historical_data('BTCUSD', period = '1hour') +cp.crypto_historical_data('BTCUSD', dailytype = 'line', start = '2019-04-15', end = '2020-04-15') +cp.crypto_historical_data('BTCUSD', dailytype = 'change', start = '2019-04-15', end = '2020-04-15') +cp.crypto_historical_data('BTCUSD', dailytype = 'change', last = 30) +``` + +### 13F Forms and CUSIP +```python +from pyfmpcloud import form_13f as ff +``` + +These contain functions from fmpcloud.io 's API for Form 13f (see fmpcloud.io API documentation). These are: + +``form_list``: List of all 13F forms available on the API. See: https://fmpcloud.io/documentation#thirteenFormList + +Examples: + +```python +ff.form_list() +``` + +``form_nametocik``: Converts specified ``company`` name to the corresponding CIK number. Allows partial matching. See: https://fmpcloud.io/documentation#thirteenFormName + +Examples: + +```python +ff.form_nametocik('Berskshire') +``` + +``form_ciktoname``: Converts the specified ``cik`` number to corresponding company name. See: https://fmpcloud.io/documentation#thirteenFormCik + +Examples: + +```python +ff.form_ciktoname('1214816') +``` + +``form``: Returns all associated 13F forms for the specified ``cik`` number, for specified ``year`` including issuer name, SEC link, etc. See: https://fmpcloud.io/documentation#thirteenForm + +Examples: + +```python +ff.form('49205', '2020') +``` + +``cusip_mapper``: Returns company/security name for specified CUSIP number. https://fmpcloud.io/documentation#cusipMapper + +Examples: + +```python +ff.cusip_mapper('000360206') +``` + +## Contributing +Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. + +Please make sure to update tests as appropriate. + +## License +[MIT](https://choosealicense.com/licenses/mit/) + +## Other + +<a href="https://www.buymeacoffee.com/razorhash" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy Me A Coffee" height="41" width="174"></a> + +%package -n python3-pyfmpcloud +Summary: A python-based wrapper for the Financial Models Prep pro API (fmpcloud.io) for financial data of public companies +Provides: python-pyfmpcloud +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-pyfmpcloud +# A Python wrapper library for the Financial Model Prep pro (fmpcloud.io) + +[](https://pypi.org/project/pyfmpcloud/) +[](https://pypi.org/project/pyfmpcloud/) +[](https://github.com/razorhash/pyfmpcloud/blob/master/LICENSE) + +[](https://travis-ci.org/razorhash/pyfmpcloud) + +pyfmpcloud is a Python wrapper library for the Financial Model Prep pro API (fmpcloud.io) + +## Installation + +Use the package manager [pip](https://pip.pypa.io/en/stable/) to install pyfmpcloud + +```bash +pip install pyfmpcloud --upgrade --no-cache-dir +``` + +Alternatively, download and extract the *.tar.gz folder, and run the following command from the +root directory in your shell: + +```bash +make setup +``` + +## Usage + +pyfmpcloud contains a ``settings`` module and five other modules that are the core of the +pyfmpcloud API wrapper. + + +The following sections show the five main modules for pyfmpcloud and their usage with examples. +Note that the modules are structured in the same way as the API documentation that can be found +at [fmpcloud.io API documentation](https://fmpcloud.io/documentation). The names of the functions +within the modules also follow the naming convention on this documentation. This helps with staying +consistent. The five modules and their functions are as follows: + +### Settings +```python +from pyfmpcloud import settings +``` +General helper functions to access and update settings for the library environment. These are: + +``set_apikey``: Please set your API Key in this file using the settings.set_apikey([YOUR KEY]). The key can be retrieved from fmpcloud.io by signing up. Default is the 'demo' key. Example: +```python +settings.set_apikey('stringcontainingyourapikey') +``` +``get_apikey``: Gets the currently set API key. Default is `demo` +```python +settings.get_apikey() +``` +``get_urlroot``: Gets the root API url for fmpcloud.io +```python +settings.get_urlroot() +``` +``get_urlrootfmp``: Gets the root API url for fmpcloud's sister API financialmodelprep.com. Good to have but is not currently used in the wrapper. +```python +settings.get_urlrootfmp() +``` + +### Company Valuation +```python +from pyfmpcloud import company_valuation as cv +``` +Here, you have functions that wrap around the APIs listed in fmpcloud.io (see [fmpcloud.io API documentation](https://fmpcloud.io/documentation)) under Company Valuation. These are: + +``rss_feed``: This function returns updates for all filings of public companies, including their filing type (10-Q, 13-F, etc.), their CIK number, and the date and time of the filing. + +```python +cv.rss_feed() +``` +``balance_sheet``: This function returns the balance sheet information of the specified ticker. Inputs are: ``ticker``, ``period``(_'annual'_ or _'quarter'_) and ``ftype``(_'full'_ or _'growth'_) + +Examples: + +```python +cv.balance_sheet(ticker = 'AAPL', period = 'annual', ftype = 'full') +cv.balance_sheet(ticker = 'AAPL', period = 'annual', ftype = 'growth') +cv.balance_sheet(ticker = 'AAPL', period = 'quarter', ftype = 'full') +cv.balance_sheet(ticker = 'AAPL', period = 'quarter', ftype = 'growth') +``` + +``income_statement``: This function returns the income statement of the specified ticker. Inputs arguments are: ``ticker``, ``period``(_'annual'_ or _'quarter'_) and ``ftype``(_'full'_, _'growth'_) + +Examples: + +```python +cv.balance_sheet(ticker = 'AAPL', period = 'annual', ftype = 'full') +cv.balance_sheet(ticker = 'AAPL', period = 'annual', ftype = 'growth') +cv.balance_sheet(ticker = 'AAPL', period = 'quarter', ftype = 'full') +cv.balance_sheet(ticker = 'AAPL', period = 'quarter', ftype = 'growth') +``` + +``cash_flow_statement``: This function returns the cash-flow statement of the specified ticker. Inputs are Inputs are: ``ticker``, ``period``(_'annual'_ or _'quarter'_) and ``ftype``(_'full'_ or _'growth'_) + +Examples: + +```python +cv.cash_flow_statement(ticker = 'AAPL', period = 'annual', ftype = 'full') +cv.cash_flow_statement(ticker = 'AAPL', period = 'annual', ftype = 'growth') +cv.cash_flow_statement(ticker = 'AAPL', period = 'quarter', ftype = 'full') +cv.cash_flow_statement(ticker = 'AAPL', period = 'quarter', ftype = 'growth') +``` + +``financial_ratios``: This function returns the financial ratios of the specified ticker. ``ttm`` can provide these ratios for the trailing twelve months. Inputs arguments are: ``ticker``, ``period``(_'annual'_ or _'quarter'_) and ``ttm``(``True`` or ``False``) + +Examples: + +```python +cv.financial_ratios(ticker = 'AAPL', period = 'annual', ttm = True) +cv.financial_ratios(ticker = 'AAPL', period = 'annual', ttm = False) +cv.financial_ratios(ticker = 'AAPL', period = 'quarter', ttm = True) +cv.financial_ratios(ticker = 'AAPL', period = 'quarter', ttm = False) +``` + +``key_metrics`` : This function returns the key metrics of the specified ticker. Inputs are: ``ticker`` and ``period``(_'annual'_ or _'quarter'_) + +Examples: + +```python +cv.key_metrics(ticker = 'AAPL', period = 'annual') +cv.key_metrics(ticker = 'AAPL', period = 'quarter') +``` + +``enterprise_value`` : This function returns the enterprise value of the specified ticker. Inputs are: ``ticker`` and ``period``(_'annual'_ or _'quarter'_) + +Examples: + +```python +cv.enterprise_value(ticker = 'AAPL', period = 'annual') +cv.enterprise_value(ticker = 'AAPL', period = 'quarter') +``` +``financial_statements_growth`` : This function returns the financial statements growth/evolution over time of the specified ticker. Inputs are: ``ticker`` and ``period``(_'annual'_ or _'quarter'_) + +Examples: + +```python +cv.financial_statements_growth(ticker = 'AAPL', period = 'annual') +cv.financial_statements_growth(ticker = 'AAPL', period = 'quarter') +``` + +``dcf`` : This function returns the discounted cashflow value of the specified ticker, over time. Inputs are: ``ticker`` and ``history``(_'today'_, _'daily'_, _'annual'_ or _'quarter'_) + +Examples: + +```python +cv.dcf(ticker = 'AAPL', history = 'today') +cv.dcf(ticker = 'AAPL', history = 'daily') +cv.dcf(ticker = 'AAPL', history = 'annual') +cv.dcf(ticker = 'AAPL', history = 'quarter') +``` + +``market_capitalization`` : This function returns the market capitalization of the specified ticker, over time. Inputs are: ``ticker`` and ``history``(_'today'_, _'daily'_) + +Examples: + +```python +cv.market_capitalization(ticker = 'AAPL', history = 'today') +cv.market_capitalization(ticker = 'AAPL', history = 'daily') +``` + +``rating``: This function returns the ratings of the specified ticker, over time. Inputs are: ``ticker`` and ``history``(_'today'_, _'daily'_) + +Examples: + +```python +cv.rating(ticker = 'AAPL', history = 'today') +cv.rating(ticker = 'AAPL', history = 'daily') +``` + +``stock_screener`` : A function to screen stocks based on market capitalization, beta, dividend payouts, trading volume and sector. Also allows you to limit the number of rows returned from the request. The following are the arguments to apply the filter. + +``mcgt`` : ``float`` input for **m**arket **c**ap **g**reater **t**han. +``mclt`` : ``float`` input for **m**arket **c**ap **l**ess **t**han +``bgt`` : ``float`` input for **b**eta **g**reater **t**han +``blt`` : ``float`` input for **b**eta **l**ess **t**han +``divgt`` : ``float`` input for **div**idend **g**reater **t**han +``divlt`` : ``float`` input for **div**idend **l**ess **t**han +``volgt`` : ``float`` input for **vol**ume **g**reater **t**han +``vollt`` : ``float`` input for **vol**ume **l**ess **t**han +``sector`` : ``string`` input for sector. +``limit`` : ``int`` input for limit of returned rows from the API request + +Examples: + +```python +cv.stock_screener(mcgt = 1000000, mclt = 5000000, bgt = 1.2, blt = 2.1) +cv.stock_screener(mcgt = 1000000, mclt = 5000000, volgt = 500000, blt = 2.1, divgt = 1) +``` +### Stock Time Series +```python +from pyfmpcloud import stock_time_series as sts +``` +These contain functions from fmpcloud.io 's API for Stock Time Series (see [fmpcloud.io API documentation](https://fmpcloud.io/documentation)) under Stock Time Series. these are: + +``real_time_quote``: Real-Time Quotes for specified tickers. Input is ``ticker`` + +Example: +```python +sts.real_time_quote('AAPL') +``` + +``ticker_search``: Partial matching of tickers based on provided string element. Inputs are ``match``, ``limit`` and ``exchange`` + +Examples: +```python +sts.ticker_search(match = 'AA', limit = 100, exchange = 'Nasdaq') +``` + +``historical_stock_data``: Historical stock data for specified tickers based on specified ``period`` ('1 min', '5min', '15min', '30min' and '1hour', or daily change type ``dailytype`` (_'line'_, _'change'_). ``period`` and ``dailytype`` cannot be used together. If ``dailytype`` is used, you can specify ``start`` and ``end`` dates for your request. Dates are a simple string (**not** a datetime object) in the format yyyy-mm-dd. Alternatively, you can also specify a request for daily prices over the last number of days using ``last`` + +Examples: + +``` python +sts.historical_stock_data('AAPL', period = '1hour') +sts.historical_stock_data('AAPL', dailytype = 'line', start = '2019-04-15', end = '2020-04-15') +sts.historical_stock_data('AAPL', dailytype = 'change', start = '2019-04-15', end = '2020-04-15') +sts.historical_stock_data('AAPL', dailytype = 'change', last = 30) +``` + +``batch_request_eod_prices``: batch request for EOD prices for a single date (if no date is specified, it will return the EOD prices for the last market close). Only accepts an array of strings, even for a single ``ticker`` request. If tickers are provided, a date **must** be provided. If no ticker is provided, it will return the EOD prices for all tickers. ``date`` is a simple string (**not** a datetime object) in the format yyyy-mm-dd + +Examples: + +``` python +sts.batch_request_eod_prices() +sts.batch_request_eod_prices(['AAPL'], date='2020-04-15') +sts.batch_request_eod_prices(date='2020-04-15') +sts.batch_request_eod_prices(['AAPL', 'FB', 'MSFT'], date='2020-04-15') +``` + +``symbol_list``: List of all available tickers. + +Example: +```python +sts.symbol_list() +``` + +``company_profile``: Company profile for the specified ticker + +Example: +```python +sts.company_profile('AAPL') +``` + +``available_markets_and_tickers``: List of available stocks on the specified market (e.g. Nasdaq), and prices of the tickers on the specified market. Inputs are ``markettype`` ('_ETF_','_Commodities_','_Euronext_','_NYSE_','_AMEX_','_TSX_','_Mutual Funds_','_Index_' or '_Nasdaq_') and a boolean ``marketprices` (``True or ``False``) to indicate if prices of the tickers for the specified ``markettypes`` are sought. + +Examples: +```python +sts.available_markets_and_tickers(markettype = 'Nasdaq') +sts.available_markets_and_tickers(markettype = 'Nasdaq', marketprices = True) +``` + +``stock_market_performances``: Overview of the market performance across specified performance type, such as by sector, or by largest gainers. Input is ``performancetype``('_active_','_gainers_','_losers_','_sector_','_sector historical_', 'market hours') + +Examples: +```python +sts.stock_market_performances(performancetype = 'active') +sts.stock_market_performances(performancetype = 'market hours') +``` +### Forex +```python +from pyfmpcloud import forex as fx +``` +These contain functions from fmpcloud.io 's API for Forex (see fmpcloud.io API documentation). these are: + +``forex_realtime_quote``: Real-time quotes for specified fx tickers. You can request the list of forex, their prices, or both through the ``fxtype`` (_'list'_, _'price'_, _'both'_) argument. + +Examples: +```python +fx.forex_realtime_quote(fxtype = 'list') +fx.forex_realtime_quote(fxtype = 'price') +fx.forex_realtime_quote(fxtype = 'both') +``` + +``forex_historical_data``: Historical fx data for specified tickers based on specified ``period`` ('1 min', '5min', '15min', '30min' and '1hour', or daily change type ``dailytype`` (_'line'_, _'change'_). ``period`` and ``dailytype`` cannot be used together. If ``dailytype`` is used, you can specify ``start`` and ``end`` dates for your request. Dates are a simple string (**not** a datetime object) in the format yyyy-mm-dd. Alternatively, you can also specify a request for daily fx prices over the last number of days using ``last`` + +Examples: + +``` python +fx.forex_historical_data('EURUSD', period = '1hour') +fx.forex_historical_data('EURUSD', dailytype = 'line', start = '2019-04-15', end = '2020-04-15') +fx.forex_historical_data('EURUSD', dailytype = 'change', start = '2019-04-15', end = '2020-04-15') +fx.forex_historical_data('EURUSD', dailytype = 'change', last = 30) +``` + +### Crypto +```python +from pyfmpcloud import crypto as cp +``` +These contain functions from fmpcloud.io 's API for Crypto (see fmpcloud.io API documentation). These are: + +``crypto_realtime_quote``: Real-time quotes for specified crypto tickers. You can request the list of crypto or their prices through the ``cryptotype`` (_'list'_, _'price'_) argument. + +Examples: +```python +cp.crypto_realtime_quote(cryptotype = 'list') +cp.crypto_realtime_quote(cryptotype = 'price') +``` + +``crypto_historical_data``: Historical crypto data for specified tickers based on specified ``period`` ('1 min', '5min', '15min', '30min' and '1hour', or daily change type ``dailytype`` (_'line'_, _'change'_). ``period`` and ``dailytype`` cannot be used together. If ``dailytype`` is used, you can specify ``start`` and ``end`` dates for your request. Dates are a simple string (**not** a datetime object) in the format yyyy-mm-dd. Alternatively, you can also specify a request for daily fx prices over the last number of days using ``last`` + +Examples: + +``` python +cp.crypto_historical_data('BTCUSD', period = '1hour') +cp.crypto_historical_data('BTCUSD', dailytype = 'line', start = '2019-04-15', end = '2020-04-15') +cp.crypto_historical_data('BTCUSD', dailytype = 'change', start = '2019-04-15', end = '2020-04-15') +cp.crypto_historical_data('BTCUSD', dailytype = 'change', last = 30) +``` + +### 13F Forms and CUSIP +```python +from pyfmpcloud import form_13f as ff +``` + +These contain functions from fmpcloud.io 's API for Form 13f (see fmpcloud.io API documentation). These are: + +``form_list``: List of all 13F forms available on the API. See: https://fmpcloud.io/documentation#thirteenFormList + +Examples: + +```python +ff.form_list() +``` + +``form_nametocik``: Converts specified ``company`` name to the corresponding CIK number. Allows partial matching. See: https://fmpcloud.io/documentation#thirteenFormName + +Examples: + +```python +ff.form_nametocik('Berskshire') +``` + +``form_ciktoname``: Converts the specified ``cik`` number to corresponding company name. See: https://fmpcloud.io/documentation#thirteenFormCik + +Examples: + +```python +ff.form_ciktoname('1214816') +``` + +``form``: Returns all associated 13F forms for the specified ``cik`` number, for specified ``year`` including issuer name, SEC link, etc. See: https://fmpcloud.io/documentation#thirteenForm + +Examples: + +```python +ff.form('49205', '2020') +``` + +``cusip_mapper``: Returns company/security name for specified CUSIP number. https://fmpcloud.io/documentation#cusipMapper + +Examples: + +```python +ff.cusip_mapper('000360206') +``` + +## Contributing +Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. + +Please make sure to update tests as appropriate. + +## License +[MIT](https://choosealicense.com/licenses/mit/) + +## Other + +<a href="https://www.buymeacoffee.com/razorhash" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy Me A Coffee" height="41" width="174"></a> + +%package help +Summary: Development documents and examples for pyfmpcloud +Provides: python3-pyfmpcloud-doc +%description help +# A Python wrapper library for the Financial Model Prep pro (fmpcloud.io) + +[](https://pypi.org/project/pyfmpcloud/) +[](https://pypi.org/project/pyfmpcloud/) +[](https://github.com/razorhash/pyfmpcloud/blob/master/LICENSE) + +[](https://travis-ci.org/razorhash/pyfmpcloud) + +pyfmpcloud is a Python wrapper library for the Financial Model Prep pro API (fmpcloud.io) + +## Installation + +Use the package manager [pip](https://pip.pypa.io/en/stable/) to install pyfmpcloud + +```bash +pip install pyfmpcloud --upgrade --no-cache-dir +``` + +Alternatively, download and extract the *.tar.gz folder, and run the following command from the +root directory in your shell: + +```bash +make setup +``` + +## Usage + +pyfmpcloud contains a ``settings`` module and five other modules that are the core of the +pyfmpcloud API wrapper. + + +The following sections show the five main modules for pyfmpcloud and their usage with examples. +Note that the modules are structured in the same way as the API documentation that can be found +at [fmpcloud.io API documentation](https://fmpcloud.io/documentation). The names of the functions +within the modules also follow the naming convention on this documentation. This helps with staying +consistent. The five modules and their functions are as follows: + +### Settings +```python +from pyfmpcloud import settings +``` +General helper functions to access and update settings for the library environment. These are: + +``set_apikey``: Please set your API Key in this file using the settings.set_apikey([YOUR KEY]). The key can be retrieved from fmpcloud.io by signing up. Default is the 'demo' key. Example: +```python +settings.set_apikey('stringcontainingyourapikey') +``` +``get_apikey``: Gets the currently set API key. Default is `demo` +```python +settings.get_apikey() +``` +``get_urlroot``: Gets the root API url for fmpcloud.io +```python +settings.get_urlroot() +``` +``get_urlrootfmp``: Gets the root API url for fmpcloud's sister API financialmodelprep.com. Good to have but is not currently used in the wrapper. +```python +settings.get_urlrootfmp() +``` + +### Company Valuation +```python +from pyfmpcloud import company_valuation as cv +``` +Here, you have functions that wrap around the APIs listed in fmpcloud.io (see [fmpcloud.io API documentation](https://fmpcloud.io/documentation)) under Company Valuation. These are: + +``rss_feed``: This function returns updates for all filings of public companies, including their filing type (10-Q, 13-F, etc.), their CIK number, and the date and time of the filing. + +```python +cv.rss_feed() +``` +``balance_sheet``: This function returns the balance sheet information of the specified ticker. Inputs are: ``ticker``, ``period``(_'annual'_ or _'quarter'_) and ``ftype``(_'full'_ or _'growth'_) + +Examples: + +```python +cv.balance_sheet(ticker = 'AAPL', period = 'annual', ftype = 'full') +cv.balance_sheet(ticker = 'AAPL', period = 'annual', ftype = 'growth') +cv.balance_sheet(ticker = 'AAPL', period = 'quarter', ftype = 'full') +cv.balance_sheet(ticker = 'AAPL', period = 'quarter', ftype = 'growth') +``` + +``income_statement``: This function returns the income statement of the specified ticker. Inputs arguments are: ``ticker``, ``period``(_'annual'_ or _'quarter'_) and ``ftype``(_'full'_, _'growth'_) + +Examples: + +```python +cv.balance_sheet(ticker = 'AAPL', period = 'annual', ftype = 'full') +cv.balance_sheet(ticker = 'AAPL', period = 'annual', ftype = 'growth') +cv.balance_sheet(ticker = 'AAPL', period = 'quarter', ftype = 'full') +cv.balance_sheet(ticker = 'AAPL', period = 'quarter', ftype = 'growth') +``` + +``cash_flow_statement``: This function returns the cash-flow statement of the specified ticker. Inputs are Inputs are: ``ticker``, ``period``(_'annual'_ or _'quarter'_) and ``ftype``(_'full'_ or _'growth'_) + +Examples: + +```python +cv.cash_flow_statement(ticker = 'AAPL', period = 'annual', ftype = 'full') +cv.cash_flow_statement(ticker = 'AAPL', period = 'annual', ftype = 'growth') +cv.cash_flow_statement(ticker = 'AAPL', period = 'quarter', ftype = 'full') +cv.cash_flow_statement(ticker = 'AAPL', period = 'quarter', ftype = 'growth') +``` + +``financial_ratios``: This function returns the financial ratios of the specified ticker. ``ttm`` can provide these ratios for the trailing twelve months. Inputs arguments are: ``ticker``, ``period``(_'annual'_ or _'quarter'_) and ``ttm``(``True`` or ``False``) + +Examples: + +```python +cv.financial_ratios(ticker = 'AAPL', period = 'annual', ttm = True) +cv.financial_ratios(ticker = 'AAPL', period = 'annual', ttm = False) +cv.financial_ratios(ticker = 'AAPL', period = 'quarter', ttm = True) +cv.financial_ratios(ticker = 'AAPL', period = 'quarter', ttm = False) +``` + +``key_metrics`` : This function returns the key metrics of the specified ticker. Inputs are: ``ticker`` and ``period``(_'annual'_ or _'quarter'_) + +Examples: + +```python +cv.key_metrics(ticker = 'AAPL', period = 'annual') +cv.key_metrics(ticker = 'AAPL', period = 'quarter') +``` + +``enterprise_value`` : This function returns the enterprise value of the specified ticker. Inputs are: ``ticker`` and ``period``(_'annual'_ or _'quarter'_) + +Examples: + +```python +cv.enterprise_value(ticker = 'AAPL', period = 'annual') +cv.enterprise_value(ticker = 'AAPL', period = 'quarter') +``` +``financial_statements_growth`` : This function returns the financial statements growth/evolution over time of the specified ticker. Inputs are: ``ticker`` and ``period``(_'annual'_ or _'quarter'_) + +Examples: + +```python +cv.financial_statements_growth(ticker = 'AAPL', period = 'annual') +cv.financial_statements_growth(ticker = 'AAPL', period = 'quarter') +``` + +``dcf`` : This function returns the discounted cashflow value of the specified ticker, over time. Inputs are: ``ticker`` and ``history``(_'today'_, _'daily'_, _'annual'_ or _'quarter'_) + +Examples: + +```python +cv.dcf(ticker = 'AAPL', history = 'today') +cv.dcf(ticker = 'AAPL', history = 'daily') +cv.dcf(ticker = 'AAPL', history = 'annual') +cv.dcf(ticker = 'AAPL', history = 'quarter') +``` + +``market_capitalization`` : This function returns the market capitalization of the specified ticker, over time. Inputs are: ``ticker`` and ``history``(_'today'_, _'daily'_) + +Examples: + +```python +cv.market_capitalization(ticker = 'AAPL', history = 'today') +cv.market_capitalization(ticker = 'AAPL', history = 'daily') +``` + +``rating``: This function returns the ratings of the specified ticker, over time. Inputs are: ``ticker`` and ``history``(_'today'_, _'daily'_) + +Examples: + +```python +cv.rating(ticker = 'AAPL', history = 'today') +cv.rating(ticker = 'AAPL', history = 'daily') +``` + +``stock_screener`` : A function to screen stocks based on market capitalization, beta, dividend payouts, trading volume and sector. Also allows you to limit the number of rows returned from the request. The following are the arguments to apply the filter. + +``mcgt`` : ``float`` input for **m**arket **c**ap **g**reater **t**han. +``mclt`` : ``float`` input for **m**arket **c**ap **l**ess **t**han +``bgt`` : ``float`` input for **b**eta **g**reater **t**han +``blt`` : ``float`` input for **b**eta **l**ess **t**han +``divgt`` : ``float`` input for **div**idend **g**reater **t**han +``divlt`` : ``float`` input for **div**idend **l**ess **t**han +``volgt`` : ``float`` input for **vol**ume **g**reater **t**han +``vollt`` : ``float`` input for **vol**ume **l**ess **t**han +``sector`` : ``string`` input for sector. +``limit`` : ``int`` input for limit of returned rows from the API request + +Examples: + +```python +cv.stock_screener(mcgt = 1000000, mclt = 5000000, bgt = 1.2, blt = 2.1) +cv.stock_screener(mcgt = 1000000, mclt = 5000000, volgt = 500000, blt = 2.1, divgt = 1) +``` +### Stock Time Series +```python +from pyfmpcloud import stock_time_series as sts +``` +These contain functions from fmpcloud.io 's API for Stock Time Series (see [fmpcloud.io API documentation](https://fmpcloud.io/documentation)) under Stock Time Series. these are: + +``real_time_quote``: Real-Time Quotes for specified tickers. Input is ``ticker`` + +Example: +```python +sts.real_time_quote('AAPL') +``` + +``ticker_search``: Partial matching of tickers based on provided string element. Inputs are ``match``, ``limit`` and ``exchange`` + +Examples: +```python +sts.ticker_search(match = 'AA', limit = 100, exchange = 'Nasdaq') +``` + +``historical_stock_data``: Historical stock data for specified tickers based on specified ``period`` ('1 min', '5min', '15min', '30min' and '1hour', or daily change type ``dailytype`` (_'line'_, _'change'_). ``period`` and ``dailytype`` cannot be used together. If ``dailytype`` is used, you can specify ``start`` and ``end`` dates for your request. Dates are a simple string (**not** a datetime object) in the format yyyy-mm-dd. Alternatively, you can also specify a request for daily prices over the last number of days using ``last`` + +Examples: + +``` python +sts.historical_stock_data('AAPL', period = '1hour') +sts.historical_stock_data('AAPL', dailytype = 'line', start = '2019-04-15', end = '2020-04-15') +sts.historical_stock_data('AAPL', dailytype = 'change', start = '2019-04-15', end = '2020-04-15') +sts.historical_stock_data('AAPL', dailytype = 'change', last = 30) +``` + +``batch_request_eod_prices``: batch request for EOD prices for a single date (if no date is specified, it will return the EOD prices for the last market close). Only accepts an array of strings, even for a single ``ticker`` request. If tickers are provided, a date **must** be provided. If no ticker is provided, it will return the EOD prices for all tickers. ``date`` is a simple string (**not** a datetime object) in the format yyyy-mm-dd + +Examples: + +``` python +sts.batch_request_eod_prices() +sts.batch_request_eod_prices(['AAPL'], date='2020-04-15') +sts.batch_request_eod_prices(date='2020-04-15') +sts.batch_request_eod_prices(['AAPL', 'FB', 'MSFT'], date='2020-04-15') +``` + +``symbol_list``: List of all available tickers. + +Example: +```python +sts.symbol_list() +``` + +``company_profile``: Company profile for the specified ticker + +Example: +```python +sts.company_profile('AAPL') +``` + +``available_markets_and_tickers``: List of available stocks on the specified market (e.g. Nasdaq), and prices of the tickers on the specified market. Inputs are ``markettype`` ('_ETF_','_Commodities_','_Euronext_','_NYSE_','_AMEX_','_TSX_','_Mutual Funds_','_Index_' or '_Nasdaq_') and a boolean ``marketprices` (``True or ``False``) to indicate if prices of the tickers for the specified ``markettypes`` are sought. + +Examples: +```python +sts.available_markets_and_tickers(markettype = 'Nasdaq') +sts.available_markets_and_tickers(markettype = 'Nasdaq', marketprices = True) +``` + +``stock_market_performances``: Overview of the market performance across specified performance type, such as by sector, or by largest gainers. Input is ``performancetype``('_active_','_gainers_','_losers_','_sector_','_sector historical_', 'market hours') + +Examples: +```python +sts.stock_market_performances(performancetype = 'active') +sts.stock_market_performances(performancetype = 'market hours') +``` +### Forex +```python +from pyfmpcloud import forex as fx +``` +These contain functions from fmpcloud.io 's API for Forex (see fmpcloud.io API documentation). these are: + +``forex_realtime_quote``: Real-time quotes for specified fx tickers. You can request the list of forex, their prices, or both through the ``fxtype`` (_'list'_, _'price'_, _'both'_) argument. + +Examples: +```python +fx.forex_realtime_quote(fxtype = 'list') +fx.forex_realtime_quote(fxtype = 'price') +fx.forex_realtime_quote(fxtype = 'both') +``` + +``forex_historical_data``: Historical fx data for specified tickers based on specified ``period`` ('1 min', '5min', '15min', '30min' and '1hour', or daily change type ``dailytype`` (_'line'_, _'change'_). ``period`` and ``dailytype`` cannot be used together. If ``dailytype`` is used, you can specify ``start`` and ``end`` dates for your request. Dates are a simple string (**not** a datetime object) in the format yyyy-mm-dd. Alternatively, you can also specify a request for daily fx prices over the last number of days using ``last`` + +Examples: + +``` python +fx.forex_historical_data('EURUSD', period = '1hour') +fx.forex_historical_data('EURUSD', dailytype = 'line', start = '2019-04-15', end = '2020-04-15') +fx.forex_historical_data('EURUSD', dailytype = 'change', start = '2019-04-15', end = '2020-04-15') +fx.forex_historical_data('EURUSD', dailytype = 'change', last = 30) +``` + +### Crypto +```python +from pyfmpcloud import crypto as cp +``` +These contain functions from fmpcloud.io 's API for Crypto (see fmpcloud.io API documentation). These are: + +``crypto_realtime_quote``: Real-time quotes for specified crypto tickers. You can request the list of crypto or their prices through the ``cryptotype`` (_'list'_, _'price'_) argument. + +Examples: +```python +cp.crypto_realtime_quote(cryptotype = 'list') +cp.crypto_realtime_quote(cryptotype = 'price') +``` + +``crypto_historical_data``: Historical crypto data for specified tickers based on specified ``period`` ('1 min', '5min', '15min', '30min' and '1hour', or daily change type ``dailytype`` (_'line'_, _'change'_). ``period`` and ``dailytype`` cannot be used together. If ``dailytype`` is used, you can specify ``start`` and ``end`` dates for your request. Dates are a simple string (**not** a datetime object) in the format yyyy-mm-dd. Alternatively, you can also specify a request for daily fx prices over the last number of days using ``last`` + +Examples: + +``` python +cp.crypto_historical_data('BTCUSD', period = '1hour') +cp.crypto_historical_data('BTCUSD', dailytype = 'line', start = '2019-04-15', end = '2020-04-15') +cp.crypto_historical_data('BTCUSD', dailytype = 'change', start = '2019-04-15', end = '2020-04-15') +cp.crypto_historical_data('BTCUSD', dailytype = 'change', last = 30) +``` + +### 13F Forms and CUSIP +```python +from pyfmpcloud import form_13f as ff +``` + +These contain functions from fmpcloud.io 's API for Form 13f (see fmpcloud.io API documentation). These are: + +``form_list``: List of all 13F forms available on the API. See: https://fmpcloud.io/documentation#thirteenFormList + +Examples: + +```python +ff.form_list() +``` + +``form_nametocik``: Converts specified ``company`` name to the corresponding CIK number. Allows partial matching. See: https://fmpcloud.io/documentation#thirteenFormName + +Examples: + +```python +ff.form_nametocik('Berskshire') +``` + +``form_ciktoname``: Converts the specified ``cik`` number to corresponding company name. See: https://fmpcloud.io/documentation#thirteenFormCik + +Examples: + +```python +ff.form_ciktoname('1214816') +``` + +``form``: Returns all associated 13F forms for the specified ``cik`` number, for specified ``year`` including issuer name, SEC link, etc. See: https://fmpcloud.io/documentation#thirteenForm + +Examples: + +```python +ff.form('49205', '2020') +``` + +``cusip_mapper``: Returns company/security name for specified CUSIP number. https://fmpcloud.io/documentation#cusipMapper + +Examples: + +```python +ff.cusip_mapper('000360206') +``` + +## Contributing +Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. + +Please make sure to update tests as appropriate. + +## License +[MIT](https://choosealicense.com/licenses/mit/) + +## Other + +<a href="https://www.buymeacoffee.com/razorhash" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy Me A Coffee" height="41" width="174"></a> + +%prep +%autosetup -n pyfmpcloud-1.1.6 + +%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-pyfmpcloud -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.6-1 +- Package Spec generated |