Json output

README.md

@@ -39,7 +39,7 @@ exchange_code        NASD
 exchange           NASDAQ
 irs             942404110
 
-# Income statement, aapl.income_quarter will pull the quarterly report
+# Annual income statement, while aapl.income_quarter will pull the quarterly report
 aapl.income_annual
 
                                        map_item  2018-09-29  2019-09-28  2020-09-26  2021-09-25  2022-09-24  2023-09-30    statement_type
@@ -73,7 +73,7 @@ line_id
 1770                     Diluted Normalized EPS     3.05148     2.97145     3.27535     5.61402      6.1132     6.13405  Income Statement
 
 # get earnings per share, appl.eps_ttm will pull trailing twelve months eps
-aapl.eps_q
+aapl.eps_ttm
 
            report_type period     eps
 as_of_date
@@ -106,6 +106,14 @@ as_of_date
 2023-12-31         TTM    12M   6.460
 2024-03-31         TTM    12M   6.460
 
+# get data in json format
+
+from ib_fundamental.utils import to_json
+
+# CompanyFinancials.data property contains all data in dataclass format
+to_json(aapl.data.eps_ttm)
+'[{"as_of_date": "2024-03-31T00:00:00", "report_type": "TTM", "period": "12M", "eps": 6.46}, {"as_of_date": "2023-12-31T00:00:00", "report_type": "TTM", "period": "12M", "eps": 6.46}, ...'
+
 # and much more
 ```
 
@@ -156,8 +164,9 @@ This is the full list of methods of `CompanyFinancials` class
 - revenue_q
 - revenue_tt
 
-You can use `FundamentalData` class that will return company
-fundamental information in `dataclass` format
+You can use `FundamentalData` class that will return company fundamental
+information in `dataclass` format. Each instance of `CompanyFinancials`
+contains an instance of `FundamentalData` in its `data` property.
 
 ```python
 from ib_fundamental.fundamental import FundamentalData
@@ -186,8 +195,57 @@ from ib_fundamental.fundamental import FundamentalData
  'revenue_q',
  'revenue_ttm']
 
+# get quarterly revenue
+aapl.data.revenue_q
+
+[Revenue(as_of_date=datetime.datetime(2024, 3, 31, 0, 0), report_type='R', period='3M', revenue=90753000000.0),
+ Revenue(as_of_date=datetime.datetime(2023, 12, 31, 0, 0), report_type='R', period='3M', revenue=119575000000.0),
+ Revenue(as_of_date=datetime.datetime(2023, 9, 30, 0, 0), report_type='R', period='3M', revenue=89498000000.0),
+ Revenue(as_of_date=datetime.datetime(2023, 6, 30, 0, 0), report_type='R', period='3M', revenue=81797000000.0),
+ Revenue(as_of_date=datetime.datetime(2023, 3, 31, 0, 0), report_type='R', period='3M', revenue=94836000000.0),
+ Revenue(as_of_date=datetime.datetime(2022, 12, 31, 0, 0), report_type='R', period='3M', revenue=117154000000.0),
+ Revenue(as_of_date=datetime.datetime(2022, 9, 30, 0, 0), report_type='R', period='3M', revenue=90146000000.0),
+ Revenue(as_of_date=datetime.datetime(2022, 6, 30, 0, 0), report_type='R', period='3M', revenue=82959000000.0),
+ Revenue(as_of_date=datetime.datetime(2022, 3, 31, 0, 0), report_type='R', period='3M', revenue=97278000000.0),
+ Revenue(as_of_date=datetime.datetime(2021, 12, 31, 0, 0), report_type='R', period='3M', revenue=123945000000.0),
+ Revenue(as_of_date=datetime.datetime(2021, 9, 30, 0, 0), report_type='R', period='3M', revenue=83360000000.0),
+ Revenue(as_of_date=datetime.datetime(2021, 6, 30, 0, 0), report_type='R', period='3M', revenue=81434000000.0),
+ Revenue(as_of_date=datetime.datetime(2021, 3, 31, 0, 0), report_type='R', period='3M', revenue=89584000000.0),
+ Revenue(as_of_date=datetime.datetime(2020, 12, 31, 0, 0), report_type='R', period='3M', revenue=111439000000.0),
+ Revenue(as_of_date=datetime.datetime(2020, 9, 30, 0, 0), report_type='R', period='3M', revenue=64698000000.0),
+ Revenue(as_of_date=datetime.datetime(2020, 6, 30, 0, 0), report_type='R', period='3M', revenue=59685000000.0),
+ Revenue(as_of_date=datetime.datetime(2020, 3, 31, 0, 0), report_type='R', period='3M', revenue=58313000000.0),
+ Revenue(as_of_date=datetime.datetime(2019, 12, 31, 0, 0), report_type='R', period='3M', revenue=91819000000.0),
+ Revenue(as_of_date=datetime.datetime(2019, 9, 30, 0, 0), report_type='R', period='3M', revenue=64040000000.0),
+ Revenue(as_of_date=datetime.datetime(2019, 6, 30, 0, 0), report_type='R', period='3M', revenue=53809000000.0),
+ Revenue(as_of_date=datetime.datetime(2019, 3, 31, 0, 0), report_type='R', period='3M', revenue=58015000000.0),
+ Revenue(as_of_date=datetime.datetime(2018, 12, 31, 0, 0), report_type='R', period='3M', revenue=84310000000.0),
+ Revenue(as_of_date=datetime.datetime(2018, 9, 30, 0, 0), report_type='R', period='3M', revenue=62900000000.0),
+ Revenue(as_of_date=datetime.datetime(2018, 6, 30, 0, 0), report_type='R', period='3M', revenue=53265000000.0),
+ Revenue(as_of_date=datetime.datetime(2018, 3, 31, 0, 0), report_type='R', period='3M', revenue=61137000000.0),
+ Revenue(as_of_date=datetime.datetime(2017, 12, 31, 0, 0), report_type='R', period='3M', revenue=88293000000.0),
+ Revenue(as_of_date=datetime.datetime(2017, 9, 30, 0, 0), report_type='R', period='3M', revenue=52579000000.0),
+ Revenue(as_of_date=datetime.datetime(2017, 6, 30, 0, 0), report_type='R', period='3M', revenue=45408000000.0)]
+
 ````
 
+## Contributing
+
+If you find a bug please open an issue, pull requests are always welcome.
+
+To develop with `ib_fundamental` please follow these steps
+
+```bash
+git clone https://github.com/quantbelt/ib_fundamental.git
+cd ib_fundamental
+# install development dependencies
+pip install .[dev]
+# do your things
+# run linters and code quality checks
+pre-commit
+# run tests with tox, requires pypy310,py{310,311,312}
+tox
+```
 
 [reqFundamental]: https://ib-api-reloaded.github.io/ib_async/api.html#ib_async.ib.IB.reqFundamentalData
 [fin_ratios]: http://web.archive.org/web/20200725010343/https://interactivebrokers.github.io/tws-api/fundamental_ratios_tags.html

ib_fundamental/__init__.py

@@ -17,7 +17,7 @@
 # under the License.
 
 """IB Fundamental data"""
-__all__ = ["CompanyFinancials", "objects", "utils"]
+__all__ = ["CompanyFinancials", "FundamentalData", "objects", "utils"]
 __author__ = "Gonzalo Sáenz"
 __copyright__ = "Copyright 2024 Gonzalo Sáenz"
 __credits__ = ["Gonzalo Sáenz"]
@@ -27,4 +27,4 @@
 
 
 from . import objects, utils
-from .fundamental import CompanyFinancials
+from .fundamental import CompanyFinancials, FundamentalData

ib_fundamental/utils.py

@@ -17,14 +17,16 @@
 # under the License.
 
 """
-Created on Thu May 9 18:21:58 2021
-
-@author: gnzsnz
+ib_fundamental utility functions
 """
 
+import dataclasses
+import datetime
+import json
 import re
 from typing import Any, Optional
 
+from ib_async import FundamentalRatios
 from pandas import DataFrame
 
 re_pattern = re.compile(r"(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])")
@@ -48,3 +50,22 @@ def camel_to_snake(camel: str) -> str:
     """Convert CamelCase to snake_case"""
     # https://stackoverflow.com/questions/1175208/elegant-python-function-to-convert-camelcase-to-snake-case
     return re_pattern.sub("_", camel).lower()
+
+
+def to_json(obj: Any, **kwargs: Any) -> str:
+    """Convert FundamentalData attributes to JSON"""
+
+    class EnhancedJSONEncoder(json.JSONEncoder):
+        """JSON encoder for dataclasses and datetime"""
+
+        def default(self, o):
+            if dataclasses.is_dataclass(o):
+                return dataclasses.asdict(o)
+            elif isinstance(o, (datetime.date, datetime.datetime)):
+                return o.isoformat()
+            elif isinstance(o, FundamentalRatios):
+                return vars(o)
+
+            return super().default(o)
+
+    return json.dumps(obj, cls=EnhancedJSONEncoder, **kwargs)

tests/utils_test.py

@@ -0,0 +1,47 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+
+#   http://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+"""Tests for ib_fundamental utils"""
+
+import pytest
+
+from ib_fundamental import FundamentalData
+from ib_fundamental.utils import to_json
+
+fund_data_methods = (
+    _m
+    for _m in dir(FundamentalData)
+    if (_m[:1] != "_" and _m not in ("client", "parser"))
+)
+
+
+@pytest.fixture(params=fund_data_methods)
+def fund_method(fundamental_data, request):
+    """JSON fixture, send all FundamentalData methods as json"""
+    _m = request.param
+    yield fundamental_data, _m
+
+
+class TestUtils:
+    """Tests for utils module"""
+
+    def test_json_inc_annual(self, fund_method):
+        """test json"""
+        _fund_data, _method = fund_method
+        _json = to_json(getattr(_fund_data, _method))
+        # assert
+        assert isinstance(_json, str)