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authorYuri Victorovich <yuri@FreeBSD.org>2022-12-25 07:00:48 +0000
committerYuri Victorovich <yuri@FreeBSD.org>2022-12-25 09:57:38 +0000
commitde5fdea5abafaa42b0931d09e3bf8fb11d1f6b63 (patch)
treeb67ae5bf8d256df7b5103ec12c49da98e8f30c18 /finance/py-financedatabase
parent5c9026862caed5f6397817217a2bb2163b37d8d2 (diff)
downloadports-de5fdea5abafaa42b0931d09e3bf8fb11d1f6b63.tar.gz
ports-de5fdea5abafaa42b0931d09e3bf8fb11d1f6b63.zip
finance/py-financedatabase: New port: Database of 300.000+ symbols containing Equities, ETFs, Funds, Indices
Diffstat (limited to 'finance/py-financedatabase')
-rw-r--r--finance/py-financedatabase/Makefile33
-rw-r--r--finance/py-financedatabase/distinfo3
-rw-r--r--finance/py-financedatabase/files/test.py17
-rw-r--r--finance/py-financedatabase/pkg-descr10
4 files changed, 63 insertions, 0 deletions
diff --git a/finance/py-financedatabase/Makefile b/finance/py-financedatabase/Makefile
new file mode 100644
index 000000000000..87419f96c3f0
--- /dev/null
+++ b/finance/py-financedatabase/Makefile
@@ -0,0 +1,33 @@
+PORTNAME= financedatabase
+PORTVERSION= 1.0.2
+CATEGORIES= finance python
+MASTER_SITES= CHEESESHOP
+PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER= yuri@FreeBSD.org
+COMMENT= Database of 300.000+ symbols containing Equities, ETFs, Funds, Indices
+WWW= https://github.com/JerBouma/FinanceDatabase
+
+LICENSE= MIT
+
+PY_DEPENDS= ${PYTHON_PKGNAMEPREFIX}dill>=0.3.3:devel/py-dill@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}fundamentalanalysis>=0.2.10:finance/py-fundamentalanalysis@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}matplotlib>=3.3.2:math/py-matplotlib@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pandas>=1.1.2:math/py-pandas@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}requests>=2.25.1:www/py-requests@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}tablib>=3.0.0:textproc/py-tablib@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}tqdm>=4.56.0:misc/py-tqdm@${PY_FLAVOR}
+BUILD_DEPENDS= ${PY_DEPENDS}
+RUN_DEPENDS= ${PY_DEPENDS}
+
+USES= python:3.6+
+USE_PYTHON= distutils autoplist
+
+NO_ARCH= yes
+
+TEST_ENV= ${MAKE_ENV} PYTHONPATH=${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}
+
+do-test:
+ @${SETENV} ${TEST_ENV} ${PYTHON_CMD} ${FILESDIR}/test.py
+
+.include <bsd.port.mk>
diff --git a/finance/py-financedatabase/distinfo b/finance/py-financedatabase/distinfo
new file mode 100644
index 000000000000..9c9788c2fff4
--- /dev/null
+++ b/finance/py-financedatabase/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1671950543
+SHA256 (financedatabase-1.0.2.tar.gz) = 7b03d37ef5eef8433380d92122f2fd24bad741971518eaf1bd4a9c6f30763e23
+SIZE (financedatabase-1.0.2.tar.gz) = 21007
diff --git a/finance/py-financedatabase/files/test.py b/finance/py-financedatabase/files/test.py
new file mode 100644
index 000000000000..0535265d9ded
--- /dev/null
+++ b/finance/py-financedatabase/files/test.py
@@ -0,0 +1,17 @@
+import financedatabase as fd
+
+# Obtain all countries from the database
+equities_countries = fd.show_options('equities', 'countries')
+print(f"equities_countries={equities_countries}")
+
+# Obtain all sectors from the database
+equities_sectors = fd.show_options('equities', 'sectors')
+print(f"equities_sectors={equities_sectors}")
+
+# Obtain all industries from the database
+equities_industries = fd.show_options('equities', 'industries')
+print(f"equities_industries={equities_industries}")
+
+# Obtain all countries + sectors + industries from the database
+equities_all_categories = fd.show_options('equities')
+print(f"equities_all_categories={equities_all_categories}")
diff --git a/finance/py-financedatabase/pkg-descr b/finance/py-financedatabase/pkg-descr
new file mode 100644
index 000000000000..a995e362bc03
--- /dev/null
+++ b/finance/py-financedatabase/pkg-descr
@@ -0,0 +1,10 @@
+financedatabase is a database of 300.000+ symbols containing Equities, ETFs,
+Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
+
+As a private investor, the sheer amount of information that can be found on the
+internet is rather daunting. Trying to understand what type of companies or ETFs
+are available is incredibly challenging with there being millions of companies
+and derivatives available on the market. Sure, the most traded companies and
+ETFs can quickly be found simply because they are known to the public (for
+example, Microsoft, Tesla, S&P500 ETF or an All-World ETF). However, what else
+is out there is often unknown.