Files
OpenBB/openbb_terminal/cryptocurrency/onchain/blockchain_model.py
teh_coderer 59d8b36bb0 [IMPROVE] Fix Docstring formatting/Fix missing, incomplete type hints (#3412)
* Fixes

* Update stocks_helper.py

* update git-actions set-output to new format

* Update stocks_helper.py

* Update terminal_helper.py

* removed LineAnnotateDrawer from qa_view

* lint

* few changes

* updates

* sdk auto gen modules done

* Update stocks_helper.py

* updates to changed imports, and remove first sdk_modules

* Update generate_sdk.py

* Update generate_sdk.py

* pylint

* revert stocks_helper

* Update generate_sdk.py

* Update sdk.py

* Update generate_sdk.py

* full auto generation, added sdk.py/controllers creation

* missed enable forecasting

* added running black in subprocess after sdk files generation completes

* removed deleted sdk_arg_logger

* comment out tests

* property doc fix

* clean up

* Update generate_sdk.py

* make trailmap classes useable for doc generation

* Update generate_sdk.py

* added lineon to trailmap class for linking to func in markdown

* changed lineon to dict

* added full_path to trailmap for linking in docs

* updated portfolio

* feat: initial files

* feat: added meta head

* feat: added funcdef

* added func_def to trailmap attributes for markdown in docs, added missing type hints to covid functions

* feat: added view and merged with jaun

* Update generate_sdk.py

* Update generate_sdk.py

* Update generate_sdk.py

* Update generate_sdk.py

* init

* fix returns

* fix: random stuff

* fix: random

* fixed encoding issue on windows

* fix: generate tabs

* update

* Update generate_sdk_markdown.py

* Create .pydocstyle.ini

* added type hint classes for views

* fixes

* alt, ba

* alt-economy

* Update finviz_compare_model.py

* fixs

* Update substack_model.py

* Update generate_sdk.py

* last of my section

* porfolio

* po

* Update optimizer_model.py

* fixing more things

* few more

* keys done

* update

* fixes

* Update generate_sdk_markdown.py

* Update generate_sdk_markdown.py

* mypy forecast fix

* Update generate_sdk_markdown.py

* Update generate_sdk_markdown.py

* Update generate_sdk_markdown.py

* fixes

* forecast fixes

* one more fix

* Update coinbase_model.py

* Update generate_sdk_markdown.py

Co-authored-by: Colin Delahunty <72827203+colin99d@users.noreply.github.com>
Co-authored-by: James Maslek <jmaslek11@gmail.com>
Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2022-11-15 16:37:49 -05:00

78 lines
1.9 KiB
Python

"""Blockchain model"""
__docformat__ = "numpy"
import logging
import pandas as pd
import requests
from openbb_terminal.decorators import log_start_end
logger = logging.getLogger(__name__)
@log_start_end(log=logger)
def _make_request(endpoint: str) -> dict:
"""Helper method handles Blockchain API requests. [Source: https://api.blockchain.info/]
Parameters
----------
endpoint: str
endpoint url
Returns
-------
dict:
dictionary with response data
"""
url = f"https://api.blockchain.info/{endpoint}"
response = requests.get(
url, headers={"Accept": "application/json", "User-Agent": "GST"}
)
if not 200 <= response.status_code < 300:
raise Exception(f"fcd terra api exception: {response.text}")
try:
return response.json()
except Exception as e:
logger.exception("Invalid Response: %s", str(e))
raise ValueError(f"Invalid Response: {response.text}") from e
@log_start_end(log=logger)
def get_btc_circulating_supply() -> pd.DataFrame:
"""Returns BTC circulating supply [Source: https://api.blockchain.info/]
Returns
-------
pd.DataFrame
BTC circulating supply
"""
data = _make_request(
"charts/total-bitcoins?timespan=all&sampled=true&metadata=false&cors=true&format=json"
)["values"]
df = pd.DataFrame(data)
df["x"] = df["x"] * 1_000_000_000
df["x"] = pd.to_datetime(df["x"])
return df
@log_start_end(log=logger)
def get_btc_confirmed_transactions() -> pd.DataFrame:
"""Returns BTC confirmed transactions [Source: https://api.blockchain.info/]
Returns
-------
pd.DataFrame
BTC confirmed transactions
"""
data = _make_request(
"charts/n-transactions?timespan=all&sampled=true&metadata=false&cors=true&format=json"
)["values"]
df = pd.DataFrame(data)
df["x"] = df["x"] * 1_000_000_000
df["x"] = pd.to_datetime(df["x"])
return df